-4d90550d17f4602e089-79ee 20220307023505891 beie:beie director@blueeyesintelligence.org WEB-FORM International Journal of Recent Technology and Engineering (IJRTE) IJRTE 22773878 10.35940/ijrte.2277-3878 https://www.ijrte.org/ 05 30 2020 9 1 Assistant professor, Department of Civil Engineering, PSNA college of Engineering and Technology, Dindigul, TamilNadu, India Manoj Kumar M Victor Samson Raj A Assistant professor, Department of Civil Engineering, PSNA college of Engineering and Technology, Dindigul, TamilNadu, India Sarath babu M Assistant professor, Department of Civil Engineering, PSNA college of Engineering and Technology, Dindigul, TamilNadu, India Sundararajan S Assistant professor, Department of Civil Engineering, Lathamathavan Engineering college, Madurai, TamilNadu, India, Now a days steel based structures are more conveniently used in comparison with RCC based structures thanks to its ductility behaviour. The ductility and energy dissipation capacity are important for a structure to resist seismic force. To boost the energy dissipation capacity of a steel framed structure, bracing were used. Here G+14 story building steel framed structure were selected for investigation. Thereon structures energy dissipation capacity were improved by introducing the X bracing, V bracing and zipper bracing. STAAD PRO and SAP2000 are employed for the analytical analysis. The relation between the performance of the different braced framed structure is made through pushover analysis. The criteria acclimatized with understanding the seismic efficiency of the casings are performance points, base shear capacity and roof displacement. The arrangement of the bracings on the edge structure has increased the base shear conveying limit, the performance point and reduced the displacement of the roof for all steel frames. 05 30 2020 1876 1879 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A2676.059120 https://www.ijrte.org/portfolio-item/A2676059120/ Computer Science Engineering, MLR Institute of Technology, Hyderabad, India. Mrs. Neeraja Koppula Ms. Tadikonda Krishnasahiti Information Technology, MLR Institute of Technology, Hyderabad, India. Mr. Yerram Akhil Information Technology, MLR Institute of Technology, Hyderabad, India. Right now, the Internet is the most common medium people use to obtain access to knowledge. One's requirements vary from a single word sense to specialized papers and self-education. Revisiting previously visited web pages is one of the most common and unpleasant activities a person does. In fact, a significant primary feedback technique is included in tailoring the individual's memory of vigor and re-examination patterns. Our successful control of environment and object recollections, including decay and reinforcing techniques, may imitate device retention and retention mechanisms. This proposed solution takes into consideration the normal human retrieval method of utilizing episodic and textual memory signals for fast retrieval and includes a different site revisitation mechanism known as the "Web Page Preview" via meaning and information gained through user discovery and web page visits. The underlying methods for the collection, preservation, degradation and usage of meaning and quality of consumer memories for page re-discovery are addressed. Our 3 month user study says that of the time, location, and activity context factors in Web Page Prep, activity is the best recall guide, and context + content based re-discovery provides the highest results relative to context and content individual rediscovery. This concept, if completed, can be used to improve web surfing functionality by providing users a variety of apps with a rather simple UI. 05 30 2020 1936 1942 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A2685.059120 https://www.ijrte.org/portfolio-item/A2685059120/ Student, Department of Electronics and Telecommunication Engineering, Pimpri Chinchwad College of Engineering, Pune, Maharashtra, India. Miss. Anjita Ranjit Mr. Harshal P. Hajare Student, Department of Electronics and Telecommunication Engineering, Pimpri Chinchwad College of Engineering, Pune, Maharashtra, India. Miss. Prajwali S. Dhole Student, Department of Electronics and Telecommunication Engineering, Pimpri Chinchwad College of Engineering, Pune, Maharashtra, India. Mrs. Rajani. P .K Assistant Professor, Department of Electronics & Telecommunication Engineering of Pimpri Chinchwad College of Engineering, Pune, Maharashtra, India. The Intelligent and Secured Bag is an application-specific design that can be useful for the security of important documents and valuable materials. The bag can carry out various features for daily use such as security check using face recognition. The system uses Artificial Intelligence for more effective results in terms of security in comparison with the existing system which uses fingerprint scanner. The Secured Bag consists of the facility of face recognition for advance security solution. The face recognition with Haar Cascade Classifier which is a machine learning object detection algorithm is used for the locking and unlocking of the bag which contributes in the intelligent part of the project. In order to reduce the forgetfulness of senior citizens and even professionals to pack the required items, RF-ID Technology will be used. It maintains the list of objects present in the bag. The RF-ID tags are attached to all the objects which is to be placed inside the bag. The RF-ID reader is used to read the tags which enters the bag. When any object will be missing from the bag, the message of the list of objects missing is send to the users mobile. For the security of the bag from thefts, magnetic lock is introduced. When the face of the person accessing the bag is not matched with the already existing database indicating that an unauthorized person is trying to open the bag, the lock will remain in the locked position. Thus, the person cannot access the bag. When the face of the person accessing the bag matches with the already existing database indicating that an authorized person is trying to open the bag, the lock will be unlocked and the person can access the bag. All the alert messages and the message of the list of items present and missing from the bag is sent to the owner using a GSM modem. The main advantage of using the Smart Bag is protection from thefts, also the owner of the bag gets informed about the theft and the items missing from the bag through GSM. Raspberry Pi will control all the distinguishable features. The smart bag can be used by almost all people including students, doctors, military people, aged people, etc. In general, it can be used in the daily life without the fear of something being stolen or missing from the bag. 05 30 2020 2237 2240 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A2686.059120 https://www.ijrte.org/portfolio-item/A2686059120/ Professor, Department of Electronics and Communication, SJCE College Mysuru, JSS Science and Technology University, India. Sujatha Kumari B A Sadaf Farheen Student, Department of Electronics and Communication, SJCE College Mysuru, JSS Science and Technology University, India. There is exponential growth in the in the research industry of Internet of Things (IoT), but it is still vulnerable to privacy and security. Devices in the IoT having resource-constraints and decentralized topology are not capable of conventional privacy and security approaches. The paper predominantly focuses on the survey in the IoT system. Where we can see the various issues in IoT. To overcome these issues researchers, use blockchain mechanism. Due to blockchain’s popularity and success this technology is incorporated into many other industries. Blockchain is a technology that is booming since a decade. Despite various advancements in blockchain there are issues that are still present in IoT that needs to undergo improvisation. Before going to design and implement a model based on blockchain it is essential to understand the issues and challenges met by earlier research works. The paper presents study on the previous challenges and the solutions which are presented to get rid of the problems. Some of the existing problems are as follows- When the data is collected from the IoT devices and stored using blockchain still the data is under constant threat due to lack of security mechanisms relating to authentication and data privacy. Hence, providing security to blockchain becomes of utmost importance. The goal of this paper is presenting a detailed survey of security mechanisms for IoT systems. Also, this survey examines and explores why providing security to IoT devices is important. Readers can ultimately get aware of the issues that are present in the IoT systems and how they can be overcome. The study is beneficial for those who are looking forward to deploying IoT applications. They can get to know what the prerequisites are to be met for a secure IoT system. 05 30 2020 2295 2299 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A2692.059120 https://www.ijrte.org/portfolio-item/A2692059120/ Department of Mathematics, Bannari Amman Institute of Technology, Sathyamangalam, India. Thulasimani T* For trendy garment new designs and technologies are used. In this current study, fuzzy logic is used to compute the duration to design the new garments no restriction in using the needed products is considered for planning. The article is on women kurti producer. The existing style was studied and the time taken to design is analyzed and finally the product time for designing the kurti was calculated with the tool fuzzy critical path technique. Finally, it was analyzed that the normal time 620 seconds to design was reduced to around 22% of normal time after applying the tool. 05 30 2020 1880 1882 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A2697.059120 https://www.ijrte.org/portfolio-item/A2697059120/ Seoul School of Integrated Science and Technologies(aSSIST), South Korea. Jessica Won Bo-Young Kim* Seoul School of Integrated Science and Technologies(aSSIST), South Korea. Servitization is a customer service with integrated product-service offerings, called product-service systems. This study aims to analyze consumer awareness and user behavior of servitization and focus the personal styling service in fashion industry. We used the social network and text mining techniques to capture social network service communications, which is a great source of useful information close to customers. Frequency analysis, centrality analysis, clustering analysis, and network visualization were conducted to investigate consumer awareness and user behavior using big data in social media. “Shoes” and “clothes” were the most frequently apparent keywords with the notion of “servitization,” and the keywords “home” and “fashion” had the highest degree of centrality in the network. Four clusters were found on the notion of servitization: fundamentals, fashion, home, and job seeking. A significant transition toward servitization is ongoing in various industries, especially the fashion industry, according to the clustering analysis. To gain a better understanding of this transition, a commercially available personal styling service was investigated. Three major companies were selected by sales volume and reputation, and the names of these companies were used as search keywords to acquire related data on social media. The keywords “men’s fashion” and “subscription box” appeared frequently apart from common fashion-related hashtags. In betweenness centrality, “best quality” and “low price” were the most important keywords in the market. This study contributes to the investigation on the trend of servitization and provides insights to service providers on consumer awareness and user behavior toward this trend via social media. 05 30 2020 1778 1783 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A2698.059120 https://www.ijrte.org/portfolio-item/A2698059120/ VIT, Vellore, Tamil Nadu, India. Aniket Uddhav Sahil Ranolia VIT, Vellore, Tamil Nadu, India. Nikhil Choudhary VIT, Vellore, Tamil Nadu, India. Saravanan K Professor, School of Electronics Engineering, VIT, Vellore, Tamil Nadu, India. Recent studies show that problems like heart attack, which usually happens in late 60’s, now happing to adults because of their busy schedule and irregular lifestyle. Under these conditions, Internet of Things has given a much simpler answer for wireless real-time health monitoring of patients from the home and hospital. So what is the target of our research? There are some cases in which patient died even in the ICU because of heart attack. ICU has all the advance machines to keep track of all the health-related parameters of patient but there is no mechanism to alert the doctors in case of event like these. Machines installed in ICU are only for monitoring purpose, not for analysis. Our device focuses on monitoring and data collection so as to provide better health related services and to reduce the mortalities. To provide immediate medical assistance to a patient having heart trouble we are proposing a system via our device. Our device functions by observing heart rate, blood pressure, body temperature, respiration rate & body movement of the patient and if any of the variable crosses the threshold value a SMS will be send to the doctors instantly to alert them. Another remarkable area of the provided solution is to create ideal surroundings as per the requirement of patient’s health condition. Using all the sensors it will collect the data and store it in cloud where it can be used for further research and analysis. The data collected can be used to study and predict the health of the patient. 05 30 2020 1943 1947 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A2701.059120 https://www.ijrte.org/portfolio-item/A2701059120/ Department of ECE, Guru Nanak Institute of Technology, Hyderabad. Prof. Anmol Kumar Goyal N. Pasyanthi Department of ECE, Guru Nanak Institute of Technology, Hyderabad. Hari Krishna Department of ECE, Guru Nanak Institute of Technology, Hyderabad R. Prasanna Department of ECE, Guru Nanak Institute of Technology, Hyderabad. G. Manasa Department of ECE, Guru Nanak Institute of Technology, Hyderabad. Mining is a major factor for the process of extraction of minerals from the Earth’s surface. Thee minerals can be of two types, metallic and non-metallic. In this project, we are focusing on metallic minerals/substances detection. But these materials are randomly located that their presence is not easily predictable. To make it easy and efficient to locate these materials, we intend to use robots in these areas to avoid save time and avoid risk causing to human life while deploying./extracting. This project throws a vivid light on how effectively we use robotics in the process of mining. The robot here is made to move on wheels that are controlled by two DC Motors which are drive-by L298 driver IC. A proximity sensor is connected to the tip of the robot arm. This sensor is used for the detection of metallic presence, so it uses a principle of the magnetic field for this purpose. Since mines are also metallic substances, this project can be used for both mining and military purpose as well. As the name suggests proximity, means closeness, when this sensor is made to come near a metal substance, an LED that is present over it is made to glow. This indicates the presence of metal. This project uses a wireless technology i.e. a Bluetooth module for the robot movement. All the components used in this are interfaced with Arduino, a microcontroller that can be easily programmed to instruct all the components. A buzzer is also connected so that it makes a buzzing sound when metallic material is detected. 05 30 2020 2165 2172 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A2702.059120 https://www.ijrte.org/portfolio-item/A2702059120/ Civil department, SRM Valliammai Engineering College, Kattankulathur, Tamilnadu. Pragathi. D* Sattainathan Sharma.A Civil department, SRM Valliammai Engineering College, Kattankulathur, Tamilnadu. Aishwarya. M.B Civil department, SRM Valliammai Engineering College, Kattankulathur, Tamilnadu. Composite sections are much of the time used in structures on account of the straightforwardness and speed of erection, and prevalent in fire situation. In concrete consumed chambers the unfilled space is either filled by plain concrete or fortified concrete. In order to decrease the dead weight of composite portions and to assemble the detainment and toughness of the Concrete In-Filled Double Skinned Steel Tubular (CFDST) fragments were grasped. Two reference models, for instance, Concrete Filled Steel Tube (CFST) and Concrete In-Filled Double Skin Steel Tubes (CFDST) were endorsed and were used as references for the parametric examination. The game plan of furrowed steel plates is to improve the bond quality between the strong and the steel tubes and to manufacture the store passing on cutoff of the fragment. The parameters considered in the examination consolidated the strong assessment, thickness of the steel plate and steel grade. The composite structure under scrutiny was impersonated with a tri dimensional numerical model using the ANSYS programming, which relies upon the Finite Element Method (FEM). Examination were done reliant on the center point compressive weight. Examination of the results provoked the assurance that changing a single parameter didn't assemble as far as possible considering the way that the failure was moved to other essential parts in the composite sectionThe decisive results got from the examination of composite portion are improvement or abatement breaking point of fragment that influences the nature of the area in view of changes in the material properties. Sort of composite fragment is included to consider for feasibly picked as building structure. Finally, the stack passing on cutoff of the wrinkled composite sections are higher than the sustained fragment 05 30 2020 2505 2510 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A2704.059120 https://www.ijrte.org/portfolio-item/A2704059120/ Lecturer, Computer Science and Engineering, BGC Trust University Bangladesh, Chandanaish, Chattogram, Bangladesh. Abhijit Pathak* Md.Adil Computer Science & Engineering, BGC Trust University Bangladesh, Chandanaish, Chattogram, Bangladesh. Md. Jabed Hossain Computer Science & Engineering, BGC Trust University Bangladesh, Chandanaish, Chattogram, Bangladesh. Taiyaba Shadaka Rafa Computer Science & Engineering, BGC Trust University Bangladesh, Chandanaish, Chattogram, Bangladesh. Umme Salma Pushpa Computer Science & Engineering, BGC Trust University Bangladesh, Chandanaish, Chattogram, Bangladesh. In the field of technical research the Internet of Things (IoT) has become an interesting topic. The device is interconnected over the internet. We usually think of IoT in terms of independently owned cars and smart homes, but in extreme practical matters one of the best applications of IoT technology. In many disciplines, IoT is increasing rapidly from a technical point of view, in particular with the smart crossing system. In the meantime, it is a very populous country in Bangladesh. A lot of people cross the street every day. A lot of wide roads are to be crossed in Bangladesh. Even dead troubles. There is a lot of vehicles on the lane. There are many wide roads in Bangladesh that are a lot to cross. Troubles, even dead ones. Many vehicles are on the road. Bangladesh is also a developing country, and the laws of road crossing are not very strict, in which case it is very important to have a pedestrian-safer IoT-based smart crossing system with object tracking. Often people are facing an accident, in particular school children have trouble crossing the road, old people face the same problem. A cost-effective solution to this issue is the key contribution of this paper using a simple framework based on Arduino UNO R3. The device is fully autonomous and can calculate the planned parameters of a pedestrianized IoT-based, smart crossing platform with object tracking in an efficient way. Ultrasonic sensors and one IR sensor were used for measuring the parameters needed for the device. Moreover, in Bangladesh this program is more important and essential. This smart crossing system detects people as well as reduce road accidents. 05 30 2020 1948 1953 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A2710.059120 https://www.ijrte.org/portfolio-item/A2710059120/ Manager, Department of Civil Engineering, B. V.B. College of Engineering and Technology, Hubli, Karnatak University, India. Mr. H.C.M. Swamy Dr. G. Prince Arulraj Department of Civil Engineering, IIT Madras, India. Concrete is a two phase material with initial internal micro cracks before loading. When the load is applied on the specimen these internal cracks propagate and material fails after reaching its maximum allowable stress. There are different force systems like tensile, compressive, shear, torsion and combination of above. The strain energy is the energy which develops internally in the material to resist deformation because of application of external load. So if the minimum energy level is reached the deformation exceeds its plastic limit and cracks start propagating from tensile zone to compressive zone. Usually the torsional strain energy is studied to define the material characteristics for taking twisting and rotational effects in the member. A study is made regarding the torsional strain energy of ordinary and SCC with glass and steel fibers. Also a comparison is made for strain energy by experimental and analytical models. To give additional strength to the concrete, steel, and glass fibers are also added to SCC and their torsional strain energy was estimated. 05 30 2020 2300 2303 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A2714.059120 https://www.ijrte.org/portfolio-item/A2714059120/ Assistant Professor, Department of Civil Engineering, College of Engineering, Jouf University, Sakaka, Kingdom of Saudia Arabia. Dr. Wassef Ounaies Little consume energy materials have recently received increased attention as an ecological and sustainable alternative. We propose to study a building approach with raw earth (adobe) combined with plant fibers. The latter used as reinforcement in composite materials have specific competitive mechanical properties compared to those of synthetic fibers (glass, carbon, ...) and are an environmentally friendly alternative to these fibers because of their low cost, low density, biodegradability and availability. We describe adobe stabilization and reinforcement process with treated rush fibers. We introduce our approach to formulate an earth mortar allowing the making of blocks of adobe, intended for the construction of works such as walls, arches and domes. 05 30 2020 2304 2309 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A2715.059120 https://www.ijrte.org/portfolio-item/A2715059120/ Student School of Computing Science & Engineering Galgotias University Greater Noida Anurag Yadav N. Gayathri Assistant Professor School of Computing Science & Engineering Galgotias University Greater Noida Considering the estimate of the potential system in the classroom, lights and fan control is expected to be performed in three modules. Thus, in the case of light and ventilator power, occupancy sensor is used to estimate the amount of output voltage increases in the diode while the rotational speed increases simultaneously. Motion sensors are common where safety and energy efficiency are concerned. They can be used for burglary alarms or surveillance cameras, which activate such devices when it detects nearby motion. This can be an energy saver by turning off lights in a building as it no longer detects activity and is commonly used in office buildings and toilets. The PIR is a motion sensor that you might have seen when you enter a bathroom or office space, normally with a white mask. They are lightweight, low powered, simple to use and low cost. The way it detects motion is by sensing the temperature differences between the surroundings PIRs are fitted with a passive sensors level of infrared radiation –all emits some low-level radiations, but a human body emits good heat. This triggers a pulse when the sensor senses a different shift between the two slots which is what it detects as ‘movement’ Technology is available that combines both PIR and microwave sensors to have less false alarms, a sudden increase in room temperature will cause the PIR to go off while wind will push an object and activate the microwave sensor. 05 30 2020 2399 2404 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A2716.059120 https://www.ijrte.org/portfolio-item/A2716059120/ Assistant Professor, Department of Electronics and Communication, P. V. P Siddhartha Institute of Technology, Vijayawada, India. D. Praveena Bai K. Kezia Chrysolite Department of Electronics and Communication, P. V. P Siddhartha Institute of Technology, Vijayawada, India. B. Bharathi Department of Electronics and Communication, P. V. P Siddhartha Institute of Technology, Vijayawada, India. K.Sai Sudha Department of Electronics and Communication, P. V. P Siddhartha Institute of Technology, Vijayawada, India. B. Bhavani Department of Electronics and Communication, P. V. P Siddhartha Institute of Technology, Vijayawada, India. Image identification and matching is one of the very difficult assignment in different areas of mainframe view. Scale-Invariant Feature Transform is an algorithm to perceive and represent specific features in portryals to further use them as an image matching criteria. In this paper, the extracted SIFT matching features are against various image distortions such as rotation, scaling, fisheye and motion distortion are evaluated and false and true positive rates for a large number of image pairs are calculated and presented. 05 30 2020 2711 2713 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A2719.059120 https://www.ijrte.org/portfolio-item/A2719059120/ Professor, Department of Mechanical Engineer, National University of Trujillo-Peru. Dr. Víctor Alcántara A. The effect of the parameters of isothermal treatment at low temperatures, also called Austempering, on the impact toughness, hardness and microstructure of AISI 4340 steel was investigated. For this purpose, specimens for impact toughness tests were machined according to ASTM E 23-93a. For hardness tests, prismatic bars of 10mmx10mmx30 mm were manufactured. Austempering was performed in a salt bath furnace using 55% sodium nitrate and 45% potassium nitrate. Three temperatures: 300, 325 and 350 °C, and four soaking times: 1 min, 10 min, 1 hour and 10 hours, were used. Hardness tests were performed on Rockwell durometer and three indentations per sample on HRc scale were made. The impact toughness test was done with the Charpy method. The specimens, previously machined, were subjected to austempering, and then subjected to the respective tests. The maximum hardness value 56.75 HRC was found at 300 °C with 10 min of soaking time, and the maximum impact toughness value was 27.67 J, found under the same conditions. It was observed that the hardness and impact resistance are not always inversely related during Austempering. In all microstructure tests, a biphasic structure composed of lower bainite with lath martensite in different proportions was observed, showing that the bainitic reaction is never complete. it is concluded that when alloyed steels are subjected to the Austempering treatment, a decrease in hardness with the soaking time or variation in temperatura, is not always accompanied by an increase in impact toughness, since undissolved alloyed carbides can produce embrittlement at any time and temperature interval. 05 30 2020 2241 2250 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A2722.059120 https://www.ijrte.org/portfolio-item/A2722059120/ Department of MCA, RV College of Engineering® Bengaluru, India. Arun S Jois Jayasimha S. R Assistant Professor, Department of MCA, RV College of Engineering®, Bangalore, India. Data center is a complex amalgamation of servers where there are thousands of services, storage, networking, routers, switches and softwares providing services 24x7 to cus- tomers. Services provided can range from websites, storage, cloud platform, Email marketing etc. A team is established to detach the anomaly generated from the monitoring system. Anomaly or issues in servers cause high downtime of service. Detecting these anomalies with high accuracy and performing Root cause analysis has been a major issue. The team often remediates the symptom than the anomaly. With the use of Artificial Neural networks a trained model can provide solutions with high accuracy and scalablility which result in higher uptime and reduced MTTR for customers. 05 30 2020 2146 2148 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A2725.059120 https://www.ijrte.org/portfolio-item/A2725059120/ Research Scholar, School of Engineering & Technology, Poornima University, Jaipur, India. Neeraj* Meenakshi Nawal Associate Professor, Computer Science and Engineering, School of Engineering & Technology, Poornima University, Jaipur, India. Mahesh Bundele Director & Principal, Poornima College of Engineering, Jaipur, India P. K. Suri Dean (R & D), Chairman & Professor, Kurukshetra University, Kurukshetra India COMSOL Multiphysics software is multipurpose software which can be used in every field. COMSOL Multiphysics to have less work in India. I have to review many papers on COMSOL but all the papers out of India. I have decided to work on COMSOL Multiphysics. This paper presents laminar flow inside the pipeline to calculate velocity and pressure to using valve in open and close case along the pipeline. I have research on leakage detection in water supply distribution network. For this purpose I have designed a multiple size pipes and multiple size valves in AutoCAD software. 05 30 2020 1812 1816 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A2727.059120 https://www.ijrte.org/portfolio-item/A2727059120/ Associate Professor, Department of Civil Engineering, Maulana Azad National Institute of Technology, Bhopal (M.P.) Singh Kamal Pedestrian level of service (PLOS) is a measure of the quality of pedestrian facilities provided. Assessing the pedestrian level of service is very important for the improvement of pedestrian environment. This paper describes the results of study on the level of service provided and the importance of various parameters that affect the pedestrian level of service at road intersections. In the analysis, fuzzy set theory is applied and a composite pedestrian level-of-service index (PLOSI) is used to assess the level of service. The assessment at five intersections revealed that two intersections have PLOSI values less than the acceptance level. These two locations are lacking the pedestrian facilities and need to be improved. The method applied in this study may be useful in assessing the level of service at other intersections. 05 30 2020 2037 2041 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A2729.059120 https://www.ijrte.org/portfolio-item/A2729059120/ Department of Electronics & Instrumentation Engineering, Pondicherry Engineering College, Puducherry, India. B. Hema Kumar* R. Sundaramurthy Department of Electronics & Instrumentation Engineering, Pondicherry Engineering College, Puducherry, India. Engineering learners often find traditional classrooms lectures more difficult to assimilate contents. Studies suggest that it will be difficult for learners to concentrate in class more than 15 minutes. Hence different pedagogy approaches may be required to make learners’ active participation inside class. Usage of games to actively engage learners is one of the excellent pedagogical approach. Incorporating games can help learners with an active environment in order to promoting learning by doing. Our proposed work is mainly focused on the modified implementation of casual & tailor-made games to teach and make undergraduate engineering learners’ participation active & stimulating in classrooms. Games were exclusively designed to suit the needs of the subject topic. Our work on the implementation of modified games in undergraduate engineering classrooms has proved that, learners actively participate in classroom sessions. This was validated by using T test and P test results and the repeatability was ensured by conducting the pedagogy for three consecutive years 2016 to 2019 05 30 2020 1817 1819 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A2733.059120 https://www.ijrte.org/portfolio-item/A2733059120/ Assistant Professor, KIIT DU, Odisha Dr. Puspalata Mahapatra Dr. Namita Rath Assistant Professor, FMS, Sri Sri University, Odisha Dr. Nishikanta Mishra Assistant Professor, KIIT DU, Odisha This study is an attempt to examine the key drivers for successful retention of customers in the Indian banking sector. Due to flow of LPG, the competitiveness in the banking sector has increased significantly and banks are not only competing with each other but also with other non-banking financial institutions (Hull, 2002). As almost all banks provide nearly identical services, so to survive in the long term and to distinguish themselves, they have to apply their own strategy and one of that is how to retain the existing customers. So, in order to enjoy sustainable competitive advantages, customer retention is the most vital marketing strategy. The key objective of this research work is to find out different factors and to identify the key factors among them which will help the banks to retain the existing customers. The results indicate that Customer service, price of product and Service and CRM are the most significant and essential factors which work towards retention of customer. Here the study used both primary and secondary data under which 33 factors have been identified from the extensive literature review and grouped under five factors and through questionnaire the above items were ranked according to their weightage. Out of which five factors identified as drivers which will help the Banking Industry to become success through the customer retention. Here the study applies the statistical techniques like mean, standard deviation and weightage score to find out the driving factors which help to retain the existing customers as well as to create new customers in different banks of India. The findings of the study will help the Indian Banking sector, authority, policy framers, and researchers to study the customer’s perception, their priorities and attitude which will help the banks to minimize customer’s churn and maximize their retention. 05 30 2020 2626 2632 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A2737.059120 https://www.ijrte.org/portfolio-item/A2737059120/ Research Scholar, Department of Civil Engineering, VIT Vellore, Tamil Nadu, India. Abhay Shelar Dr Amit Mahindrakar Professor, Department of Civil Engineering, VIT Vellore Vellore Institute of Technology, [VIT University], Vellore, Tamil Nadu, India. The investigation to learn about the effect resistance for Ready Mix Concrete plant waste utilized in new concrete substitute of Natural aggregate. In concrete trade natural aggregate with RMC plant waste of 7 days old waste concrete aggregate in 20% interval up to 100%. In the impact testing machine a drop weight was developed to govern impact resistance on Natural Aggregate concrete & RMC plant waste aggregate concrete. In aspect ratio (l/d) as 60 conducted Impact test on NAC & RMC waste. The samples of M40 strength of concrete. The Impact test conducted on samples as per ACI-544 committee method and verified by drop weight methods. RMC waste concrete aggregate exhibited with variation of different percentage test results of impact strength energy. The impact resistance significantly increases by additions of RMC plant waste concrete aggregate. 05 30 2020 2311 2315 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A2743.059120 https://www.ijrte.org/portfolio-item/A2743059120/ Information Technology, S.R.M Institute of Science and Technology, Chennai, India. Kaushik Dutta Gouthaman. P* Information Technology, S.R.M Institute of Science and Technology, Chennai, India. Rainfall prediction model mainly based on artificial neural networks have been proposed in India until now. This research work does a comparative study of two rainfall prediction approaches and finds the more accurate one. The present technique to predict rainfall doesn’t work well with the complex data present. The approaches which are being used now-a-days are statistical methods and numerical methods, which don’t work accurately when there is any non-linear pattern. Existing system fails whenever the complexity of the datasets which contains past rainfall increases. Henceforth, to find the best way to predict rainfall, study of both machine learning and neural networks is performed and the algorithm which gives more accuracy is further used in prediction. Recently, rainfall is considered the primary source of most of the economy of our country. Agriculture is considered the main economy driven source. To do a proper investment on agriculture, a proper estimation of rainfall is needed. Along with agriculture, rainfall prediction is needed for the people in coastal areas. People in coastal areas are in high risk of heavy rainfall and floods, so they should be aware of the rainfall much earlier so that they can plan their stay accordingly. For areas which have less rainfall and faces water scarcity should have rainwater harvesters, which can collect the rainwater. To establish a proper rainwater harvester, rainfall estimation is required. Weather forecasting is the easiest and fastest way to get a greater outreach. This research work can be used by all the weather forecasting channels, so that the prediction news can be more accurate and can spread to all parts of the country. 05 30 2020 1954 1961 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A2747.059120 https://www.ijrte.org/portfolio-item/A2747059120/ UG Student Department of Information Technology, National Engineering College, Kovilpatti, Tamil Nadu, India P.Habi Bala P.Keerthana UG Student Department of Information Technology, National Engineering College, Kovilpatti, Tamil Nadu, India. S.Sai Kothai UG Student Department of Information Technology, National Engineering College, Kovilpatti, Tamil Nadu, India Skin Cancer is the most pervasive disease in the fair looking populace, and it is, for the most part, brought about by introduction to bright light. In this paper, a natural skin malignant growth order framework created, and the relationship of skin disease picture over the neural system concentrated with various sorts of pre-preparing. Skin Cancer influenced because of the remarkable development of skin cells. Those cells developed skin uncovered Sun. Skin malignancy gets diminished by dodging introduction to UV radiation. The Biopsy technique analyzes skin disease in the clinical field. A biopsy treated by expelling skin cells and those examples tried in the lab. This outcome sets aside an extended effort to be prepared. In this way, In this paper, we arranged a modernized programmed skin malignant growth discovery calculation utilizing Image preparing strategies. The gathered pictures from the informational index took care of into the framework, and it is prepared to characterize skin malignant growth. This strategy experiences preprocessing strategies for evacuating undesirable clamors in the picture—this highlights the photographs extricated utilizing the GLCM technique. The back propagation procedure causes us to gather the images into carcinogenic or non-dangerous. 05 30 2020 2251 2253 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A2749.059120 https://www.ijrte.org/portfolio-item/A2749059120/ Department of Electronics and Communications Engineering, KL Deemed to be University (KLEF), Greenfields, Vaddeswaram Guntur-522502, India *Murali Krishna Sarat K. Kotamraju Department of Electronics and Communications Engineering, KL Deemed to be University (KLEF), Greenfields, Vaddeswaram Guntur-522502, India. Divya Chepuri Department of Electronics and Communications Engineering, KL Deemed to be University (KLEF), Greenfields, Vaddeswaram Guntur-522502, India. Nagaraju Chattu Department of Electronics and Communications Engineering, KL Deemed to be University (KLEF), Greenfields, Vaddeswaram Guntur-522502, India. Niharika Kamineni Department of Electronics and Communications Engineering, KL Deemed to be University (KLEF), Greenfields, Vaddeswaram Guntur-522502, India. Nowadays, the information security has been the key factor in communications, computer systems, electronic commerce and data sharing. One of the well-known methods for procuring the security of shared information using carrier files is steganography. The carrier file can be discrete such as image, text, audio and video etc. Digital images are the most commonly used format among those due to the high capacity and availability frequency. The hidden data is stored in an indistinct carrier in image steganography, i.e the digital image is used as a cover image to mask the secret message known as stego image. Cryptography can be then adapted for increasing the security of the stego image. A zig-zag MSB-LSB slicing based steganographic algorithm is proposed in this paper for concealing a secret image in a cover image. Power report and device utilization summary of the algorithm is calculated and the output is demonstrated on the VGA screen using BASYS3 Field Programmable Gate Array (FPGA). 05 30 2020 2042 2045 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A2751.059120 https://www.ijrte.org/portfolio-item/A2751059120/ Assistant Professor Department of Computer Science and Engineering and Engineering Mahatma Gandhi Institute of Technology of TechnologyHyderabad, India D. Satya Bhavani P. RajyaLakshmi Sobha Pavani IV/IV B.Tech Department of Computer Science and Engineering and Engineering Mahatma Gandhi Institute of Technology of TechnologyHyderabad, India One of the major challenges a developer may face is security issues/threats on the labelled data. The labelled data comprises of system logs, network traffic or any other enriched data with threat/not threat classification. . There were few studies which categorized the URLs to a specific category like Arts, Technology, etc. In this paper the main research is on the classification of users based on the search logs(URLs). Manually it is difficult to differentiate the user based on search logs. So, we train a machine learning model that takes raw data as input and classifies the user to genuine or malign. This model helps in intrusion detection/suspicious activity detection. For this first we gather data of past malicious URLS as training set for Naïve Bayes algorithm to detect the malicious users. By implementing KNN algorithm effectively we can detect the malign users up to an accuracy of 94.28%. With the help of Machine Learning algorithms like Naïve Bayes, KNN, Random Forest classifiers we can classify the malign and genuine users 05 30 2020 2046 2048 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A2752.059120 https://www.ijrte.org/portfolio-item/A2752059120/ Computer Science, Vellore Institue of Technology, Vellore, India. Rajakumar k* Spreeha Dutta* Computer Science, Vellore Institue of Technology, Vellore, India. Bipsa Nayak* Computer Science with specialization in Bio informatics,Vellore Institue of Technology , Vellore, India. Bindhiya N Koliwad* Computer Science with specialization in Bio informatics,Vellore Institue of Technology , Vellore, India. Generating handwritings of different kinds is quite a challenging task, an area in which not much work has been done yet. Though there has been substantial research done in the area of text recognition, the opposite of handwriting generation. Handwriting generation can prove to be extremely useful for children from blind schools where their speech can get converted into text and be used to generate handwritings of different kinds for them. Handwriting generation also has an important role in field of captcha generation. Our study exhibits in what way recurrent neural networks (RNN) of the type Long Short Term Memory (LSTM) could be used in order to create a composite sequence with structure covering a long range. We propose to use that the Generative Adversarial Network algorithm can be used to generate more realistic handwriting styles with better accuracy than other algorithms. Here, we will be trying to predict one point of data at a time. Our approach is shownfor text, where the type of data is discrete. It can also be used for online handwriting, that is real-valued data. It will then be further drawn out to handwriting generation. The created network will be conditioning its predictions based on a sequence of text. We will be using the resulting system to generate highly realistic cursive handwriting in a wide variety of styles. Experiments that have been carried out on online handwriting databases that are public predict that the method that has been proposed can be used to achieve satisfactory performance, the resultant writing samples achieved a high level of similarity with original samples of handwriting. 05 30 2020 2049 2052 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A2761.059120 https://www.ijrte.org/portfolio-item/A2761059120/ Research Scholar, Department of Civil Engineering, I.K. Gujral Punjab Technical University,Kapurthala,Jalandhar, Punjab,India Ravpreet Kaur* Harvinder Singh Department of Civil Engineering, Guru Nanak Dev Engineering College, Ludhiana,Punjab,India Paper From the past studies on Steel fibre reinforced concrete, it has been established that the performance of concrete can be enhanced by incorporating fibres from waste materials from the commercial benefit and environmental aspect.. Reinforcing concrete with steel fibres (SFRC) increases the tensile strength of concrete thereby improving its brittle behaviour.The major applications of SFRC being in tunnel lining,underground structures,flooring. The analysis presented states that the light weight concrete when incorporated with the waste steel from reinforcement and formworks with different fibre contents yield the comparable outcomes as the already studied fibre reinforced concrete 05 30 2020 1962 1965 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A2768.059120 https://www.ijrte.org/portfolio-item/A2768059120/ Faculty of Civil Engineering and Built Environment, Universiti Tun Hussein Onn Malaysia, 86400, Parit Raja, Batu Pahat, Johor Darul Takzim, Malaysia Raja Abd Assiss, R. F. F.* Zainorabidin A Faculty of Civil Engineering and Built Environment, Universiti Tun Hussein Onn Malaysia, 86400, Parit Raja, Batu Pahat, Johor Darul Takzim, Malaysia Zainun N. Y. Jamilus Research Center, Faculty of Civil Engineering and Built Environment, Universiti Tun Hussein Onn Malaysia, 86400, Parit Raja, Batu Pahat, Johor Darul Takzim, Malaysia. Slope is a measure of steepness or the degree of inclination of a feature relative to the horizontal plane. One of the phenomenon or incidents of a slope was called as slope failure or landslide. Slope failure was a major natural disaster that had affected the country in terms of injuries, deaths, property damage, destruction of services, public inconvenience and economic as well as financial losses. Slope failure cases were very serious geologic hazard disaster that happened in many countries around the world. The aim of this paper is to determine the category of slope failure in the state of Johor based on Landslide Hazard Zonation (LHZ). Data were calculated by using Total Estimated Hazard (TEHD) value method which considered six factors effecting the slope failure, including lithology; slope steepness, topography, land use class, annual rainfall and type of soil. Data on the factors were collected from Malaysia Public Works Department (JKR) inspection form, website, and secondary data resource. After that weight for each factor were identified by referring to Landslide Hazard Evaluation Factor (LHEF) rating scheme. Then determination of LHZ was done according to TEHD values which have five hazard zones; (1) very low; (2) low; (3) medium; (4) high; and (5) very high. The results of this study found that out of total fifty two cases there were three medium hazard (MH), twenty seven high hazard (HH) and twenty two very high hazard (VHH). Comparison between actual data from JKR and total 52 locations of slope failure in Johor showed that 94% accuracy, TEHD equation could calculate potential slope failure hazards in Johor very well. 05 30 2020 1966 1971 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A2770.059120 https://www.ijrte.org/portfolio-item/A2770059120/ PG Student Department of Master of Computer Applications RV College of Engineering®, Bangalore Kartik Katti Jayasimha S R Assistant Professor Department of Master of Computer Applications RV College of Engineering®, Bangalore Dashboards are thought of as a single point of reference usually for sales or performance. Organizations are now adapting to data dashboards or information dashboards. Identifying what is an information dashboard and what is not might get confusing at times, an information dashboard can be thought of as a set of items that represent any resource, which allows the targeted audience to understand or gain useful insights regarding the data being displayed. This paper discusses about an informational dashboard that can be used by organizations to have a consolidated view of status of all the processes, health of cloud resources and various other operational information spread across multiple platforms for central monitoring and support. 05 30 2020 2053 2056 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A2776.059120 https://www.ijrte.org/portfolio-item/A2776059120/ Assistant Professor, Department of Mechanical Engineering, JEMTEC, Greater Noida, India. Mr. Mudit Sharma Arvind Sharma Student, Department of Mechanical Engineering, JEMTEC, Greater Noida, India. Anuj Tanwar Student, Department of Mechanical Engineering, JEMTEC, Greater Noida, India. Abhimanyu Singh Student, Department of Mechanical Engineering, JEMTEC, Greater Noida, India. Neeraj Pandey Student, Department of Mechanical Engineering, JEMTEC, Greater Noida, India. As we know Peltier Effect is the presence of heating and cooling at an electrified junction of two different conductors. Over the years we've realized that fridge and climate control systems are the most vitality devouring home apparatuses and because of this numerous analysts had concocted a lot of examines in this field. Therefore, to conquer these issues, we have thought of thermoelectric cooler with the help of various assemblies as a progression in this field. It has settled the issues of intensity utilization, cooling execution, vibrations and support. It has been ended up being one of the best headways in this situation, which has altered the previously mentioned issues. To make it progressively adjusted, we are reusing emanating warmth to change over it into a warming chamber to keep the things warm also. We are computing out its coefficient of performance and low electricity usage to demonstrate its effectiveness to be superior to different frameworks in the field. 05 30 2020 2149 2153 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A2783.059120 https://www.ijrte.org/portfolio-item/A2783059120/ Information Technology, SRM Institute of Science and Technology, Kattankulathur, India. Savaridassan P. Ritul Kumar Information Technology, SRM Institute of Science and Technology, Kattankulathur, India. Shubhangi Sharma Information Technology, SRM Institute of Science and Technology, Kattankulathur, India. Eugansh Khatri Information Technology, SRM Institute of Science and Technology, Kattankulathur, India. Prateek Khattri Information Technology, SRM Institute of Science and Technology, Kattankulathur, India. Feeling acknowledgment by examining electroencephalographic (EEG) accounts is a developing region of research. EEG can recognize neurological exercises and gather information speaking to cerebrum signals without the requirement for any obtrusive innovation or systems. EEG chronicles are discovered helpful for the discovery of feelings through observing the attributes of spatiotemporal varieties of initiations inside the cerebrum. Explicit otherworldly descriptors as highlights are removed from EEG information to measure the spatiotemporal varieties to recognize various feelings. A few highlights speaking to various cerebrum exercises are assessed for the arrangement of feelings. A mind PC interface utilizing EEG information encourages the control of machines through the examination and order of signs legitimately from the human cerebrum. The gathered EEG information is examined by an autonomous part investigation based component extraction system and ordered utilizing a multilayer neural system classifier into a few control signals for controlling a robot. The framework additionally gathers the information of electromyography signals characteristic of the development of the facial muscles. Research work is advancing to expand the scope of controls past a lot of discrete activities by refining the algorithmic advances and methods. Facial feeling acknowledgment (FER) is a significant point in the fields of PC vision and man-made brainpower attributable to its noteworthy scholastic and business potential. Despite the fact that FER can be directed utilizing different sensors, this survey centers around examines that solely utilize facial pictures, on the grounds that visual articulations are one of the principle data diverts in relational correspondence. This paper gives a short survey of investigates in the field of FER directed over the previous decades. To start with, traditional FER approaches are portrayed alongside a rundown of the delegate classes of FER frameworks and their fundamental calculations. Profound learning-based FER approaches utilizing profound systems empowering "start to finish" learning are then introduced. 05 30 2020 1981 1985 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A2785.059120 https://www.ijrte.org/portfolio-item/A2785059120/ School of Computer Engineering & Technology, MIT Academy of Engineering, Pune, India. Akanksha Kothari* Sankeit Dighe School of Computer Engineering & Technology, MIT Academy of Engineering, Pune, India. Kedar Kale School of Computer Engineering & Technology, MIT Academy of Engineering, Pune, India. Shubhangi Kale School of Computer Engineering & Technology, MIT Academy of Engineering, Pune, India. Premature Ventricular Contraction (PVC) arrhythmia patients are subjected to dangerous heart rhythms that can be chaotic, and possibly result in abrupt death. Therefore, early detection of arrhythmia with high accuracy is extremely important to detect cardiovascular diseases. The classification of heartbeats based on ECG signals plays a vital role it the field of cardiac sciences to identify arrhythmias. The use of Artificial Neural Networks (ANN) has proven to be the most effective technique for sole agenda of classification. The use of CNN is simple and more noise immune method in comparison to various other techniques. In this paper, a survey of numerous algorithms and classification techniques along with their performance measures are presented. This paper proposes the identification of PVC on the basis of heart beats by using CNN and the results obtained are compared to other traditional approaches. 05 30 2020 2173 2177 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A2804.059120 https://www.ijrte.org/portfolio-item/A2804059120/ department of CSE, BVRIT HYDERABAD College of Engineering, affiliated to JNTUH, Hyderabad, India. M. Sai. Tejomaayi* M. Divija department of CSE, BVRIT HYDERABAD College of Engineering, affiliated to JNTUH, Hyderabad, India. R. Pavani department of CSE, BVRIT HYDERABAD College of Engineering, affiliated to JNTUH, Hyderabad, India. Dr. N. Sreekanth Associate Professor, department of CSE, BVRIT HYDERABAD College of Engineering, affiliated to JNTUH, Hyderabad, India. Detection of malaria disease is done by finding the presence of malaria parasite or plasmodium in blood smear. Here malaria parasites are detected in thick blood smears. This paper proposes a version to detect the presence of malaria parasite(plasmodium) in thick blood smears automatically with the help of deep learning and not using microscopy examinations and chemical tests. This detection will be done using two steps, that is, intensity-based screening which is the preprocessing step, the first step, that extracts candidates for processing, and next is customized convolutional neural network (CNN), the processing step, which takes the preprocessed images and detects whether malaria parasite is present or not. Hold-out(3:1) technique is used for evaluation of the model. The model has achieved an accuracy reaching 91%. The two preprocessing and processing steps improves object detection of the system. Malaria is usually detected using chemical tests and microscopy examinations. This process requires a lot of resources mainly laboratories. Parasitologists who are experienced are sometimes difficult to find, so manually counting the malaria parasites can be prone to major errors. Due to which the cost for testing and even time for malaria diagnosis increases drastically. Since the traditional process of malaria parasite in blood smears detection has many drawbacks it needs a sophisticated, accurate diagnosing equipment or system which has low cost. This system can be used in regions and areas where there are constraints on resources, time of people and cost which they can afford. This system provides many advantages to rural diagnostic centres where the supplies are limited and not easily accessible. 05 30 2020 2057 2060 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A2807.059120 https://www.ijrte.org/portfolio-item/A2807059120/ Professor, Department of Mechanical Engineering, ITM University, Gwalior,India. Ratan Kumar Jain* Sanjay Jain Associate Professor, Department of CSA, ITM University, Gwalior,India. The authors have attempted to create a model, based on actual experiments conducted on an oil fired Rotary Tilting Furnace of 200 kg melting capacity installed in a foundry unit of Agra. Multiple regression machine learning has been considered as a suitable and novel tool for Modeling of basic input process parameters of rotary tilting furnace. The basic process parameters in a rotary furnace considered are RPM (rotational speed per minute), Time of melting of one charge of 200 kgs (minute) ,melting rate of furnace (kg/hr) and fuel consumed for melting of one charge need to be controlled during whole process. In this paper the relation between input parameters such as rotational speed of the furnace, time, and melting rate have been attempted to be established with output parameter fuel consumption. This model of multiple regression machine learning may found its practical applicability in foundry industry to predict the fuel consumption of furnace before putting it in actual operation and accordingly the input parameters can be controlled for desired optimal fuel consumption. The methodology consists of experimental investigations, modeling of process parameters using machine learning, followed by result analysis. The fossil fuels may not last forever and till no other alternate fuels are developed for melting the foundry industry need to optimize it. The optimized results obtained by this model and computational technique are in line with the results of actual experiments. 05 30 2020 2178 2181 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A2809.059120 https://www.ijrte.org/portfolio-item/A2809059120/ Director, Management and Science University, Malaysia. Rajphriyadharshini Rajmohan* Prof. Dato’ Dr. Md Gapar Md Johar Senior Vice President Research, Technology and System of Management and Science University, Malaysia. The globalization of healthcare enables us with the lens to look at the future through the economical globalization of the country and as the infrastructure for a better mankind. Healthcare in modern era is more of a system that connects health technologies, services and application provided to public health. The smart rehabilitation based on Internet of Things (IoT) was introduced very recently mainly to overcome issues of scarce resource caused by growing aging population. On the other hand, shortage of doctors is a much critical issue where the crowded hospitals and long waiting list to seek doctors as well as less time spend for consultation are because of mal distribution of doctors. This study attempted to evaluate the impact of the technological acceptance determinants on adoption towards IoT in the healthcare system and evaluate the moderating effect of provincial area as well as demographic factors in adoption towards IoT in the Srilankan hospitals. The primitive purpose of this study is to provide Healthcare departments and agencies including; hospitals, pharmacies, pharmaceutical companies to develop a balanced idea of the expectations of the users of IoT. The framework of the study was adopted by combining the Unified Theory of Acceptance and Use of Technology (UTAUT) and UTAUT2 models. The structural models of the research were generated using SPSS V26 and AMOS V26. Hypotheses were tested through the proposed final model of the study. The research revealed that provincial area moderate Social influence, Facilitating condition and perceived creditability in adoption towards IoT in the healthcare system. The finding of this study discovered that younger physicians are more likely to adopt IoT products. Hence IoT marketers might consider targeting young physicians who like to explore new technologies. This study also implicated that physicians who have sufficient resources and knowledge toward IoT at hospital have a higher intention to adopt. the research. However, the IoT technology is still in its early premature stage of development and requires an intense evangelization. To a certain extent, this research had identified the critical factors that impact adoption towards IoT in healthcare industry in the Sri Lankan context and suggests that health care organizations should create awareness of IoT products to increase physician’s adoption towards IoT. 05 30 2020 2154 2164 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A2815.059120 https://www.ijrte.org/portfolio-item/A2815059120/ Department of Computer Science and Engineering, Sathyabama Institute of Science and Technology, Chennai, Tamilnadu, India. P. Asha* B. Vamshi Krishna Department of Computer Science and Engineering, Sathyabama Institute of Science and Technology, Chennai, Tamilnadu, India. T. Vivek Department of Computer Science and Engineering, Sathyabama Institute of Science and Technology, Chennai, Tamilnadu, India. T.N.V.Koteswara Rao Department of Computer Science and Engineering, Sathyabama Institute of Science and Technology, Chennai, Tamilnadu, India. Cyber-crime analysis involves the combination of past network attacks with new illegal patterns/acts. Singular cybercrime incidents are cases of individual criminal offences which are increasingly expanding according to the misconduct report furnished by independent regional initiative. In 2014, the Internet Complaint Centre issued 269,422 complaints of internet wrong doing. According to the Federal Investigation Bureau, there prevails a rise of 1600 percent crimes as compared to the 16,838 grumbles remembered for the underlying study. In an overall report published by PricewaterhouseCoopers the amount of data protection seems much lesser and is in pitiful condition. Around 2014, the crime rate in globe rose by 48 percent, with an average of 117,339 assaults per day. The proposed system can be explained by a description of recommended operations, contrasting steps and effective tactics that align with the form of offense and with a particular sequences of patterns. Such collaboration would allow better tracing, care for and mitigate incidents of cyber-crime. 05 30 2020 2328 2332 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A2816.059120 https://www.ijrte.org/portfolio-item/A2816059120/ Assistant Professor in the Department of Computer Science Engineering and Applications, Indira Gandhi Institute of Technology, Odisha, India Priyabrata Sahu* Sunil Ku Panigrahi Research Scholar, Department of computer Engineering, KIIT University, Odisha, India Umakant Bhaskar Gohatre Assistant Professor, Department of Engineering, University of Mumbai, Mumbai, India The purpose of this paper is to address the application to an Indian Regional Language, ODIA of a single word Automatically Speech Recognition System (ASRS). The toolkit is based on Hidden Markov Model (HMM). The details was obtained from 8 ODIA Language speakers. The program is then qualified for 205 different terms in ODIA. Samples from six separate speakers have again been obtained. This is then evaluated in real time. A GUI has been created to enhance the system's interactivity. We used and introduced the test framework for development of the GUI JAVA application. A comprehensive model of an ASR framework was developed to explain each HTK resource using HTK library modules and software. The findings of the experiment indicate that the overall machine efficiency is 93.45%. 05 30 2020 2182 2187 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A2817.059120 https://www.ijrte.org/portfolio-item/A2817059120/ Department of civil Engineering, Sri Ramakrishna Institute of Technology, Coimbatore, India. Sakthi Murugan. S* Sudharshan. R Department of civil Engineering, Sri Ramakrishna Institute of Technology, Coimbatore, India. Effective Waste management is the need of the hour in the world. Solid wastes generated by the industries becomes hazardous as days passes by, used tyres are one such waste material that can affect our environment and people. Rubber tyre wastes can be used as partial replacement for the aggregates. In this study, rubber tyre wastes were used as coarse aggregates. And those rubber aggregates are used as partial replacement of coarse aggregates in the cement concrete (5%, 10%, 15%, 20%). The specimens were subjected to different strength tests as per the standards. It is found that the strength of the concrete is greatly reduced as the percentage of replacement of rubber aggregates is increased. Due to their low strength this type concrete cannot be used for load bearing or structural members. However rubberized concrete can be used for non –structural elements and in future a study can be made whether rubber concrete can be used for pavement blocks. 05 30 2020 2061 2063 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A2824.059120 https://www.ijrte.org/portfolio-item/A2824059120/ Assistant Professor , Department of Computer Science & Engineering, NPR College of Engineering and Technology, Tamilnadu, India R. Divya VE. Jayanthi Professor, Department of Electronics and Communication Engineering, PSNA college of Engineering and Technology, Dindigul, Tamilnadu, India. The important goal of cloud computing is to offer larger data center that satisfies the storage requirements of the customer. The entire data can’t be saved in a single server. Cloud provider (CP) has cluster of servers to fulfill the cloud request from various real time applications. The data is fragmented in multiple servers to maintain availability. Since the data request of a customer needs data from various servers, there is a possibility of attaining dead lock. In this paper, an enhanced queuing model is proposed where the cloud request (CR) is received in queuing manner for allocation of resources. A session is created for the CR with the CP resource allocation from cloud severs. This enables to put constraint on the number of CR making a session with CP to avoid resource suppression. The Wait for Resource algorithm is used for allocating the server resources to a CR without deadlock in a session. This enables to forecast the resource requirements prior to resource allocation phase in a session. This makes the dynamic resource allocation efficient and free of deadlock. The results obtained evaluates the proposed model and helps the CP in dynamically choosing the number of server nodes necessary to achieve better performance for an real time application. 05 30 2020 2064 2971 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A2825.059120 https://www.ijrte.org/portfolio-item/A2825059120/ Research Scholar, Shobhit Deemed University,Meerut, India Ms. Harsh Arora* Dr. Mamta Bansal Professor, School of Engineering & Technology Department of CSE, Shobhit Deemed University, Meerut, India. Sentiments are the emotions which are communicated among individuals. These are opinions given by people on any item, product or service availed or experience online. This paper discusses that part of research area which involves the analysis of sentiments exchanged by people online that further tells how sentiments and features through online tourist reviews are extracted using deep learning techniques. Tourist behavior can be judged by tourists reviews for various tourist places, hotels and other services provided by tourism industry. The proposed idea of the paper is to show the high efficiency of deep learning techniques like CNN, RNN,LSTM to extract the features online by use of extra hidden layers. Further, comparison of these techniques as well as comparison of these techniques with machine learning classical algorithms like SVM, Naïve Bayes, KNN,RF etc has been done to show that deep learning methods are more efficient than classical machine learning algorithms. The accurate capturing of attitudes of tourists towards tourist places, hotels & other services of tourism industry plays utmost important role to enhance the business model of tourism industry. This can be done through sentiment analysis using deep learning methods efficiently. Classification of polarity will be done by extracting textual features using CNN,RNN,LSTM deep learning algorithms. Extracting features are fed to deep learning classifier to classify the review into either positive, negative or neutral type of reviews. After comparing various deep learning and classical techniques of machine learning, it has been concluded that LSTM,RNN give best results to classify reviews into positive and negative reviews rather than SVM,KNN classical techniques. In this way sentiment analysis has been done and the proposed idea of this research paper is change in the machine learning techniques or methods from classical algorithms to neural network deep learning methods which in future definitely will give better results to analyze deeply the sentiments of tourists to find out the liking and disliking of various tourist places, hotels and related tourism services that will help tourism business industry to work on the gap in existing services provided by them and system can become more efficient in future. Such improved tourism system will give benefits to tourists or users in terms of better services and undoubtedly it will help tourism industry to enhance business in future. 05 30 2020 2254 2261 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A2846.059120 https://www.ijrte.org/portfolio-item/A2846059120/ Assistant Professor, Information Technology, SRM Institute of Science and Technology, Kattankulathur, Tamil Nadu, India. Savaridassan P Aman Jain B.Tech Student, Information Technology, SRM Institute of Science and Technology, Kattankulathur, Tamil Nadu, India. Prerna Jaiswal B.Tech Student, Information Technology, SRM Institute of Science and Technology, Kattankulathur, Tamil Nadu, India. Rajat Kumar B.Tech Student, Information Technology, SRM Institute of Science and Technology, Kattankulathur, Tamil Nadu, India. Deepanshu Koolwal B.Tech Student, Information Technology, SRM Institute of Science and Technology, Kattankulathur, Tamil Nadu, India. The smart environment allows users to interact effortlessly with their immediate surroundings using embedded sensors, displays, and computing devices. This system will not only be useful for ordinary people with no disabilities but also for people with disabilities like vision disability, cognitive, psychological and etc. Hand Gesture Recognition opens up a lot of possibilities for IoT based projects. At the end of the project, the goal is to design a cost-effective and highly interactive system through which a user can control the electric home appliances through hand gestures. This is a wireless device that is used to manipulate various devices using finger movement. The proposed device incorporates a transmitter connected to the MEMS accelerometer which detects movement warnings and transmits signals wirelessly using the radio frequency radio module (Zig Bee). The gesture alert which is input to the system is transmitted and obtained wirelessly using a wi-fi radio frequency module (ZigBee). The instrument contains a triaxial accelerometer, a microprocessor, and a ZigBee wi-fi transmission module. Acceleration warnings measured by the triaxial accelerometer are sent to a receiver via the ZigBee Wi-Fi module. 05 30 2020 2194 2199 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A2850.059120 https://www.ijrte.org/portfolio-item/A2850059120/ Assistant Professor, Faculty of Computing and Software Engineering, AMIT, Arbaminch University, Ethiopia. Dr. Anusuya Ramasamy* Mr. Shambel Dechasa Lecturer, Oromia State University, Batu/Zway, Oromia, Ethiopia, Dean College of Science and Technology. Mr.Addisu Mulugeta* Lecture, Faculty of Computing and Software Engineering, AMIT, Arbaminch University, Ethiopia. Abstract: - Highway traffic accidents are a main community health problem unease ensuing millions fatalities and million serious injuries in the world each year. In the developing country like Ethiopia, is also the victim of road traffic accident or crush causing deaths, property damage and serious injuries. In order to analyses severity level of road traffic accidents, data is important to find out factors that are related to fatal, grievous, minor and non- injuries to gauge a fixed variables that contributes towards forecast the severity level of road traffic crashes. A lane traffic stream pound or impact happens when a vehicle slams into another vehicle, passerby, creature, or geological or building obstruction and result in injury, property harm, and lethal/demise. Path traffic control framework is, where basic information about the squash is recorded and saved for looming use. Expending that information the proposed examination have been extricated the contributing elements of street auto collision and create prescient model to foresee seriousness level for street car crash, wounds and fatalities utilizing information mining methods.. The main task of research is to make known the applicability of data mining techniques in emerging a model to support road traffic accident brutality analysis in preventing and extracting patterns that are corresponding with road accident in different ways of presentation methods. The road traffic accident historical data ,obtained from traffic Oromia police commission of East Shewa Zone, Oromia and police commission of Federal government of Ethiopia. 05 30 2020 2262 2267 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A2855.059120 https://www.ijrte.org/portfolio-item/A2855059120/ Director & Research Head, Department of Psychology DMIMS. Dr. Shiney Chib Dr. Kanchan Dewal Assistant Professor, Department of Psychology DMIMS. Dr. Amruta S. Bhuskute Assistant Professor, Department of Psychology, Smt. Binzani Mahila Mahavidyalaya, Nagpur, India. Kanchan S Artani Assistant Professor, G H Raisoni School of Business Management, Chitralekha Potnis President and Co Owner of Peel College of Professional Studies, Ontario. College life is one of the most memorable experiences which everyone want to cherish. The ecosystem including vibrant environment, friends and the various academic and co-curricular activities chisels the overall personality of a person. They paves the way to the future. In this highly competitive era, they need to prepare themselves for their future life and career. Sometimes the expectation from the various spheres of their surroundings leads to pressure, which ultimately leads to anxiety, stress and mental trauma. In order to represent youth, researchers have considered students undergoing postgraduate in Business management studies. This paper identifies the factors leading to stress among management students. 05 30 2020 2374 2379 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A2856.059120 https://www.ijrte.org/portfolio-item/A2856059120/ Assistant Professor, Faculty of Computing and Software Engineering, AMIT, Arbaminch University, Ethiopia Dr. Anusuya Ramasamy* Dr. J.R.Arun kumar Assistant Professor, Faculty of Computing and Software Engineering, AMIT, Arbaminch University, Ethiopia. Dr. M.Sundar Rajan Associate Professor, Faculty of Electrical and Computer Engineering, Arba Minch University Ethiopia. The Wireless Sensor Network (WSN) has three critical issues as like network lifetime, saving energy and security. A sensor node has limited battery power so it does need an effective key distribution and management mechanism for a safe communication. In the research literatures a massive key supply and administration methodology had been proposed. Thus, there exists a literature report of numerous schemes in WSNs for Key management and done with a wide analysis to classify the available techniques of key management and the expectable network security on them is studied. In this method a secure efficient key management scheme is proposed with the help of Ant Lion Optimization (ALO) for WSN. The aim of this method is to obtain improved security strength with cost effective. The nature of the ant lion in hunting its prey is derived for the ALO algorithm which known for its meta-heuristic function. In resolving the optimization complications with the advantage of having a great speed and limited parameters it is proved to have a better performance. 05 30 2020 2200 2205 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A2858.059120 https://www.ijrte.org/portfolio-item/A2858059120/ PhD scholar, Shri. JJT University, Salunke M.D. Dr. P.B. Kumbharkar Shri JJT University Dr. Yogesh Kumar Sharma Shri JJT University RANSOMWARE as malware, increasing threat, three techniques-prevent, detect and mitigate, backup, software updates, educating users, network protection, software optimization, antivirus solution, don’t pay ransom, RDP (remote desktop protocol), disabling macros, principle of least privilege, software restriction policies(SRP), Sender Policy Framework (SPF), Domain Message Authentication Reporting and Conformance (DMARC), Domain Keys Identified Mail (DKIM), administrative rights, network segmentation. 05 30 2020 2723 2725 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A2860.059120 https://www.ijrte.org/portfolio-item/A2860059120/ Electronics and Communication, RNS Institute of Technology, Bengaluru, India. Vivek B A Keshav V Bharadwaj Electronics and Communication, RNS Institute of Technology, Bengaluru, India. Shankar Anbalagan Computer Science, RNS Institute of Technology, Bengaluru, India. Abhinav Narayan Electronics and Communication, RNS Institute of Technology, Bengaluru, India. Dr. Sampath Kumar R Mathematics, RNS Institute of Technology, Bengaluru, India. In this article, we discuss empirical methods that can be add-on to enhance spatial image filters. Discussing on the implementation of such methods for Deep-Sky images from space telescopes. Spatial image filtering houses mean filters that use kernel method to filter a digital image in the spatial domain. To improve the performance of the existing filters and aid the new upcoming filter, a technique is developed that can be added to the filter to improve their performance. This study gives a detailed analysis of an empirical weight factor and exponential factoring methods for the mean filters that are proposed and implemented. The exponential factoring is applied to the recent mean filters Heron, Centroidal and Inverse-Contraharmonic. Performance analysis of both methods and comparison to existing mean filtering performance are represented. The images are classified into white or black based background and analyzed for performance parameters, comparing the results from the filters and filters with the exponential factoring. The empirical methods were proven to improve the efficiency in denoising of images of the existing mean filters and the new Heron and Centroidal mean filters, hence can be used as add-ons to existing spatial mean filters. One of the empirical techniques, exponential factoring is promising in denoising high density noised images. This novel method is implemented to filter noise from Deep Space images taken by space telescopes. Ultra-high-resolution images are filtered and implemented on Single Board Computers for remote handling, with testing done on MATLAB. 05 30 2020 2333 2347 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A2866.059120 https://www.ijrte.org/portfolio-item/A2866059120/ Student, Department of Information Science and Engineering, GM Institute of Technology, Davangere, Karnataka, India. R Sai Shashank Mr. Firoz Khan Assistant Professor, Department of Information Science and Engineering, GM Institute of Technology, Davangere, Karnataka, India. Chiranth N Student, Department of Information Science and Engineering, GMIT, Davangere, Karnataka, India. Pallavi H J Student, Department of Information Science and Engineering, GMIT, Davangere, Karnataka, India. Lavanya C Student, Department of Information Science and Engineering, GMIT, Davangere, Karnataka, India. In recent decade’s severe natural or artificial disaster and further geologic processes have occurred with catastrophic consequences. Timely it should be detected and make it recovery. So, in this paper, we had proposed a multi-terrain robot and other software systems to ease the detection. As the demand for multi-terrain robot applications are increasing significantly. This robot can be deployed for the use of assured future surveillance and extricate purposes in the isolated areas. In isolated areas robot stability will be challenging task due to varied terrain. A new design is propounded for the mobile robot which aims to execute monitoring performances while travelling on terrain types in balanced way. A chain-wheeled multi-terrain robot has been evolved which has ability to run in rough and unmanned surfaces. 05 30 2020 2371 2373 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A2873.059120 https://www.ijrte.org/portfolio-item/A2873059120/ Assistant Professor, Department of Information Science and Engineering, GM Institute of Technology, Davangere, Karnataka, India. Firoz Khan Yashas S Student, Department of Information Science and Engineering, GM Institute of Technology, Davangere, Karnataka, India. Shivangowda R Patil Student, Department of Information Science and Engineering, GMIT, Davangere, Karnataka, India. Nandini G J Student, Department of Information Science and Engineering, GMIT, Davangere, Karnataka, India. Greeshma P S Student, Department of Information Science and Engineering, GMIT, Davangere, Karnataka, India. in this present world, child security has become greater issue. Not only children even women has to be safeguard from threats. So, we are developing the smart wearable device for low cost which can be affordable for common people. To track the real-time location of the children, this project presents a mobile application where we have used Java, XML for code. This device is designed such that it monitors the child location and alerts the parents by sending SMS or voice message when the child moves out of the boundary. Even though using Wifi and Bluetooth, many systems are there for security purpose. This paper describes the system which comprises of an MPU 6050 gyroscope, Node MCU microcontroller and other sensors, GPS receiver for smart and safe usage. This includes some characteristics of high reliability, efficiency, short response time, high accuracy. The requirements enable to child's safety. 05 30 2020 2367 2370 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A2874.059120 https://www.ijrte.org/portfolio-item/A2874059120/ PG Student, Department of E&TC J T Mahajan College of Engineering, Faizpur Jalgaon, India Abhijeet R Patil* Dr. P M Mahajan J T Mahajan College of Engineering, Faizpur Jalgaon, India Dr. Kanchan S Bhagat Department of E&TC J T Mahajan College of Engineering, Faizpur. Jalgaon, India Dr. Ravindra D. Patil Principal J T Mahajan College of Engineering, Faizpur Jalgaon, India One of the key enablers of the evolving 5G technology are Vehicular Ad hoc Networks (VANETs) and Software Defined Networking (SDN). The development of next generation intelligent vehicular networks includes integration of SDN in Vehicular Ad hoc Networks (VANETs). Researchers have focused on the development of the integrated technology including architecture and benefits of SDN based VANET services. In this paper we have simulated the Vehicular Ad hoc Networks (VANETs) using Mininet-wifi. The VANET is incorporated with SDN controller. The performance is evaluated by varying the speed of vehicles. We have evaluated the performance in two ways: performance evaluation of V2V communication in same RSU and performance evaluation of V2V communication from different RSU. We have evaluated the proposed system for POX and RYU SDN OpenFlow controllers. As demonstrated in the results the RYU controller of SDN performs better as compared to POX controller in terms of average delay and throughput. 05 30 2020 2268 2273 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A2880.059120 https://www.ijrte.org/portfolio-item/A2880059120/ Department of Computer Science and Engineering, DIT University, Dehardun, India. Prabhsimar Kaur* Vishal Bharti Department of Computer Science and Engineering, DIT University, Dehardun, India. Srabanti Maji Department of Computer Science and Engineering, DIT University, Dehardun, India. Epilepsy is the second most persistent neurological condition, endangering the lives of patients. Though there have been many advancements in neurological imaging approaches, the Electroencephalogram (EEG) still remains to be the most effective tool for testing and diagnosing epileptic patients. The visual analytics of EEG signals is a very prolonged process and always open to the subjective judgment of the physicians. The main goal of our study is to build an automatic classifier that can analyze and detect epilepsy from EEG recordings obtained from epileptic and healthy patients, thus helping the neurosurgeons to diagnose epilepsy in a better way. Synthetic minority oversampling technique (SMOTE) has been used for balancing the EEG dataset and the Principal component analysis (PCA) technique is applied further, for reducing the EEG signal dimensionality. For data classification, seven machine learning classifiers have been used and after comparing the results the authors conclude that Artificial Neural Network (ANN), outperforms the other classifiers by providing an accuracy of 97.82%. 05 30 2020 2412 2420 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A2894.059120 https://www.ijrte.org/portfolio-item/A2894059120/ Assistant Professor (Smt.Chandaben Mohanbhai Patel Institute of Computer Applicaions, CHARUSAT, Changa, India) Dhatri Raval Dr. Jaimin N Undavia Assistant Professor (Smt.Chandaben Mohanbhai Patel Institute of Computer Applicaions, CHARUSAT, Changa, India) Emerging theory of Embedded System, Internet-of-Things, Data Analytics and Artificial Intelligence open up broad spectrum to develop innovative applications and to make existing system more efficient. Advent of this new technology speeds up the race towards the automation in eavery aspects of human life. This paper provides a study of embedded system, microcontroller and sensors which can be used for developing such applications. With this study, survey of vital tools and technologies is also discussed and proposed for the development of IOT based application. Paper also provides a model to gather the data from an industrial plant on which data analytics can be done. This paper shows a wide range of IOT perspective for the design of embedded system by discussing research done in it and to use that theory to develop a product which can be helpful in society for the welfares of human kind. 05 30 2020 2206 2209 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A2900.059120 https://www.ijrte.org/portfolio-item/A2900059120/ Computer Science & Engineering, Punjab Engineering College (Deemed to be University), Chandigarh, India. Amandeep Kaur* Neerja Mittal Computational Instrumentation, Central Scientific Instruments Organization, Chandigarh, India. The convergence of Internet with the Radio Frequency Identification devices, sensors and other smart devices is termed as Internet-of-Things (IoT). In this concept, the present internet is extended to accommodate every such device which can be powered up or down. The future seems to be drowned in such sensing devices. IoT is seen as a whole new world in which most of the devices are connected and transmit information from one process, place or people to another. Such information could be processed and analyzed to provide understanding and insights. The basic idea of IoT is that it is virtually possible for every physical object in this world to become a computer. The recent advancements in technology have seen the shift of society towards an always connected paradigm that basically realizes the idea of “Internet of Everything (IoE)”. This article explores various aspects associated with Internet of Everything fuelled by Smart Sensor Technology. Further, the emergence of CloudIoT paradigm and various challenges associated with it have been discussed. The impact of COVID-19 on CloudIoT market has also been discussed in brief. 05 30 2020 2646 2649 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A2907.059120 https://www.ijrte.org/portfolio-item/A2907059120/ Department of Mechanical Engineering, Thapar Insti- tute if Engineering and Technology, Patiala, India Raghav Khaterpal* Harit Ahuja Department of Computer Science and Engineering, SRM Institute of Science and Technology, Kattankulathur, Chennai, India. Jatin Goel Department of Information Technology, SRM Institute of Science and Technology, Kattankulathur, Chennai, India. Karanveer Singh Department of Mechanical Engineering, Thapar Institute if Engineering and Technology, Patiala, India Rahul Manoj Department of Computer Science and Engineering, SRM Institute of Science and Technology, Kattankulathur, Chennai, India. H-1B visa allows US employers to employ nonimmi- grant workers on a temporary basis. This visa only allows specialty workers to gain employment in the United States which means people who have a bachelor’s degree or equivalent work experience are eligible. The duration of H-1B visa is 3 years and it may extend to 6 years. The H-1B visa is the most sought after visa in the world, however it has a low approval rate. In 2019, 200000 people applied for the visa worldwide of which only 85000 people were selected which means an approval rate of only 42%. This fight to obtain the visa is getting more competitive as the US Economy improves. This selection depends upon a number of factors such as employer, wage etc. This paper helps to predict whether an individual can gain the H1B visa or not taking in account all the relevant factors. The proposed system secured a high accuracy of 96% by using ANN algorithm. 05 30 2020 2421 2424 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A2917.059120 https://www.ijrte.org/portfolio-item/A2917059120/ PG Scholar, Department of Electronics and Instrumentation Engineering, National Engineering College, Kovilpatti, Tamilnadu, India. Tessy George* Dr. T. Ramakrishnan Assistant Professor (Senior Grade), Department of Electronics and Instrumentation Engineering, National Engineering College, Kovilpatti, Tamilnadu, India. Brain imaging innovations have been forever made for a significant part in analyzing and focusing the unused sees of the brain life systems and functions. A computer software code is designed for the detection of cancer in brain magnetic resonance images. Image segmentation, morphological operations and feature extraction are some of the image processing methods developed for the brain cancer detection in MR images concerning the cancer influenced sufferers. In the proposed research, a Modified morphological-based Fuzzy-C-Means (M- FCM) algorithm is proposed to segment the cancer region in the brain MR images. M-FCM algorithm is used to perform the segmentation process significantly through the idealize choice of a cluster, based on the updated membership function. Quantitative analysis between ground truth and segmented cancer is presented in terms of segmentation accuracy and segmentation sensitivity. 05 30 2020 2425 2430 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A2920.059120 https://www.ijrte.org/portfolio-item/A2920059120/ Department of Computer Science and Engineering(UG Student), SRM Institute of Science and Technology, Chennai, India. Bathala Lakshmi Sindhiya* K.C.Prabu Shankar Department of Computer Science and Engineering(Assistant Professor(O.G)), SRM Institute of Science and Technology, Chennai, India. Various admission regulator mechanisms found are Attribute-based Controlled Collaborative Access Control Scheme, novel block chain-based distributed key management architecture (BDKMA), Pri Guarder a novel privacy-aware access control method, Lightweight admission switch. Security enquiry displays the suggested arrangement assurance documents secrecy then has several extra severe care things. Examination displays the projected system is effective in relations of loading plus calculation. 05 30 2020 2511 2519 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A2921.059120 https://www.ijrte.org/portfolio-item/A2921059120/ M.E. Student, Department of Computer Science and Engineering, Rajalakshmi Engineering College (Autonomous), Thandalam, Chennai. Nandhini R Dr Kumar P Professor,Department of omputer Science and Engineering, Rajalakshmi Engineering College (Autonomous), Thandalam, Chennai. In today’s competitive world, with very less classroom time and increasing working hours, lecturers may need tools that can help them to manage precious class hours efficiently. Instead of focusing on teaching, lecturers are stuck with completing some formal duties, like taking attendance, maintaining the attendance record of each student, etc. Manual attendance marking unnecessarily consumes classroom time, whereas smart attendance through face recognition techniques helps in saving the classroom time of the lecturer. Attendance marking through face recognition can be implied in the classroom by capturing the image of the students in the classroom via the camera installed. Later through the HAAR Cascade algorithm and MTCNN model, face region needs to be taken as interest and the face of each student is bounded through a bounding box, and finally, attendance can be marked into the database based on their presence by using Decision Tree Algorithm. 05 30 2020 2348 2352 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A2927.059120 https://www.ijrte.org/portfolio-item/A2927059120/ Department of Electronics & Instrumentation Engineering, Pondicherry Engineering College, Puducherry, India. R. Sundaramurthy S. Karthikeyan Senior Design Engineer -R&D, Interlogicx Embedded Solutions,Puducherry,India A UAV is an avion which fly without a human pilot which can be controlled by autopilot hardware. In this work, a type of aerial vehicle called quadcopter is considered which is very agile and unstable. A helicopter can be lifted by aerodynamic principle acting upon wings but quadcopter can't lift like helicopter any one of the motor failure or speed of the four motor mismatches will lead to a severe accident. As a result, it’s highly challenging for a human to control the flying quadcopter by controlling every motor directly, for this reason, they move for classic piloting method to achieve extreme reaction speed and attention. The scope of this paper is to develop an autonomous quadcopter using a PID controller which has a capacity of stable flying in the air with the help of using a microcontroller-based control mechanism. That can be done by measuring Euler angles to produce a control signal to the quadcopter to control its position and velocity. The Quadcopter is designed to be small enough so that cost would be minimized. 05 30 2020 2545 2550 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A2929.059120 https://www.ijrte.org/portfolio-item/A2929059120/ Department of Electrophysical Methods of Non-Destructive Testing, Karpenko Physico-mechanical Institute of the NAS of Ukraine, Lviv, Ukraine Volodymyr Yuzevych Fedir Horbonos* Lviv University of Business and Law, Lviv, Ukraine; Roman Rogalskyi Department of Transport Technologies, Lviv Polytechnic National University, Lviv, Ukraine Iryna Yemchenko Department of Commodity Science and Expertise in Customs, Lviv University of Trade and Economics, Lviv, Ukraine Mykhailo Yasinskyi Department of Engineering Mechanics, Ukrainian Academy of Printing, Lviv, Ukraine Analytical correlations of mathematical model that characterizes the processes of development of corrosive cavity on the surface of underground metallic pipeline are analysed. A pipeline in the environment of moist soil with solution of electrolyte is placed.In the top of cavity a crack appears and translates the system “underground pipeline (UP) – pumping station (PS)” in the state of depressurization.A new approach is proposed for diagnosing places of underground pipeline depressurization on the basis of two types of devices: pressure sensors and non-destructive testing devices, with the help of which we measure potentials and corrosion currents in surface defects.The presence of only pressure sensors makes it possible to set the coordinates of depressurization with a large error – 20…25%. Diagnosis of the pipeline only by devices BVS-K, VPP-M (at the first stage) allows to reveal surface defects. But this information is not enough for a qualitative experiment, as shown by the qualimetric quality criterion. Taking into account the pressure data in the second stage allows to determine which of the defects is the leakage point.A test example for the distance L1 = 6 km from the pumping station of the pipeline is considered. The results of the experiment are used for the example and the growth time of the corrosion crack t = 0.62 year is established.On the basis of computational experiment the errors of estimating of crack growth time t and coordinates of the leakage points was established. They present 5…7 %. Based on the method of neural networks, the main informative parameters for determining the places of depressurization on the surface of the underground pipe are estimated. A method for estimating the gas pressure change in the vicinity of the crack after depressurization of the pipeline was proposed. The principles of determining the limit values of the parameters of the system “pipeline – pumping station” taking into account the criteria of quality and strength of the metal are formulated. 05 30 2020 2274 2281 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A2941.059120 https://www.ijrte.org/portfolio-item/A2941059120/ BSACET, Mathura, UP Girraj Singh* Aseem Chandel REC, Mainpuri, UP D. S. Chauhan GLA University, Mathura, UP Load forecast plays an important role in power system operation and control. Significant contribution in power system economics may also be observed. Many decisions of the power system depend on the future load demand. The accuracy of STLF is necessary for the optimal and economical operation of the power systems. This paper presents a new approach to STLF. In this paper, time series methods are presented on the basis of neural networks. The time series methods are included autoregressive, nonlinear autoregressive, and non-linear autoregressive with external inputs (narx). The comparative results are presented with the ANN. In this paper, the narx method gives more efficient and accurate results than other methods. 05 30 2020 2441 2444 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A2942.059120 https://www.ijrte.org/portfolio-item/A2942059120/ Department of IT, VRSEC, Vijayawada, India. Praveena Nuthakki P. Madhavilatha Department of IT, VRSEC, Vijayawada, India. K. Madhavi Department of IT, VRSEC, Vijayawada, India. The social insurance condition is commonly seen as being 'data rich' yet 'information poor'. There is an abundance of information accessible inside the social insurance frameworks. Notwithstanding, there is an absence of powerful investigation apparatuses to find shrouded connections and patterns in information. Information revelation and information mining have discovered various applications in business and logical area. Important information can be found structure use of information mining strategies in medicinal services framework. The human services industry gathers enormous measures of medicinal services information which, lamentably, are not "mined" to find shrouded data. For information preprocessing and viable dynamic Naïve Bayes classifier is utilized. It is an augmentation of Naïve Bayes to uncertain probabilities that targets conveying strong characterizations additionally when managing little or deficient informational indexes. The HUI digger is utilized to locate the high utility thing sets from a database. Disclosure of shrouded examples and connections frequently gets unexploited. Utilizing clinical profiles, for example, age, sex, circulatory strain and glucose it can anticipate the probability of patients getting a coronary illness. It empowers huge information, for example designs, connections between clinical elements identified with coronary illness, to be set up 05 30 2020 2445 2448 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A2945.059120 https://www.ijrte.org/portfolio-item/A2945059120/ Students Dept of CSE, Nitte Meenakshi Institute of Technology, Bangalore Ashish Shah Pratik Raj Students Dept of CSE, Nitte Meenakshi Institute of Technology, Bangalore Pushpam Kumar Students Dept of CSE, Nitte Meenakshi Institute of Technology, Bangalore Supriya P Assistant Professor Dept of CSE, Nitte Meenakshi Institute of Technology, Bangalore Asha H V Assistant Professor Dept of CSE, Nitte Meenakshi Institute of Technology, Bangalore The need for skilled financial advisors is more than ever in the current scenario when there are in-numerous money-making strategies and at the same time, the global economy might be on the verge of collapse. Also there is a pure lack of good financial advisors and even if you find one, you will end up paying a hefty amount. The current proposed application fulfils the above-stated demand in a cost-effective and reliable way. The proposed system automates the job of a financial advisor using Artificial Intelligence. It provides the user with a simple and easy to use interface where every individual will have their own account handled by Google’s firebase platform. The application uses 'Plaid' API which allows app to send a request to the corresponding bank server and fetch the account details of an individual. Logged in user is shown a very comprehensive representation of their account details which also includes category-wise expenditure, their investment, and the savings. One of the unique parts of this project is a Chatbot which is ever ready to answer the queries of the user related to their accounts and finance. Dialogflow will help in the functionality of Chatbot incorporating Google's machine learning expertise. The proposed application will help provide every needy individual a very reliable, easy to use, and cost-efficient solution to their problem of having a personal financial advisor. 05 30 2020 2282 2286 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A2951.059120 https://www.ijrte.org/portfolio-item/A2951059120/ P.G. Student, Department of MCA, Rastreeya Vidyalaya College of Engineering®, Bangalore, Karnataka, India Suraj Suntakar Jayasimha S R Assistant Professor Department of MCA, Rastreeya Vidyalaya College of Engineering®, Bangalore, Karnataka, India Inventory Management System is a centralized data repository that helps in managing the inventory with ease. A centralized data repository of data helps people to get access to the information fast thus increasing productivity. This paper discusses developing a web-based application that will be capable of managing and monitoring networking devices in an IT organization. The application will consist of a centralized data repository of all the networking devices in an organization. A centralized network device inventory helps employees to easily manage and monitor all the networking devices in the organization. The application will also help employees in the fast troubleshooting of any networking issue that arises in the organization thus, increases the productivity of employees. The application will be capable of sending timely updates regarding the warranty period, inventory data updates, etc., to the concerned people. 05 30 2020 2287 2290 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A2957.059120 https://www.ijrte.org/portfolio-item/A2957059120/ Student, Pimpri Chinchwad College of Engineering & Research Ravet, Pune, PIN: - 412101, India. Sudeshna Thakur Neha Patil Student, Pimpri Chinchwad College of Engineering & Research Ravet, Pune, PIN: - 412101, India. Soumya Patil Student, Pimpri Chinchwad College of Engineering & Research Ravet, Pune, PIN: - 412101, India. Nidhi Hegde Student, Pimpri Chinchwad College of Engineering & Research Ravet, Pune, PIN: - 412101, India. Prof. Amol Dumbare Assistance Prof. in Dept. of Computer, Pimpri Chinchwad College of Engineering & Research, Pune, Pin: -412101, India. In recent years, shopping experiences are becoming more advanced. These include the attempts of market shelves as well as the currently booming online shopping. Online shopping has a better convenience but not yet accepted on a large scale by many people. Retail shops still retain greater response by the users and thus the retailers are moving towards an attempt of cashier-less shopping. A major problem of retail shops is that the people have crunch-time for shopping and cannot afford the waiting time at the checkout counters. Addressing this problem, we have developed a shopping style which saves time of checkout and also the time of maintaining social distancing queues. This research paper presents a stereo vision-based AI system which is useful to monitor the customers while shopping and also the items which are added or replaced in the virtual cart. The customers can directly walk out of the store after shopping and the final order cost of the shopping will be evaluated. This amount will be charged to the customer’s account. The system makes sure that there are no errors made during the evaluation and there are no charges for products which are not brought home. To achieve all this, the system uses image processing, object detection and face recognition algorithms that are widely practiced at present. The system also uses sensors like RFID tags and pressure sensors for weight measurement and detection of products on the shelves. 05 30 2020 2291 2294 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A2958.059120 https://www.ijrte.org/portfolio-item/A2958059120/ Department of Computer Science, J. C. Bose University of Science and Technology, YMCA, Faridabad, India. Ayushi* Shilpa Sethi Department of Computer Applications, J. C. Bose University of Science and Technology, YMCA, Faridabad, India. Jyoti Department of Computer Science, J. C. Bose University of Science and Technology, YMCA, Faridabad, India. The healthcare industry is flooded with the plethora of data about the patients which is supplemented each day in the form of medical records. Researchers have been putting in various efforts to bring this data into usage for the prediction of various diseases. Prediction of heart diseases is one such area. Data mining algorithms have been at the centre of improving the prediction of accuracy of heart diseases. But it has been found that these algorithms are not using adequate set of attributes for prediction that sometimes may lead to wrong predictions. The aim of this paper is to deploy the right set of algorithms to accurately predict the heart diseases and help both the patient and the doctor. The paper thrives to put UMAP and XGBoost techniques in this regard and exploit the advantages of both techniques. UMAP helps in dimensionality reduction without loss of useful data while XGBoost uses parallelization for tree construction reducing the time required to get the results. The experiment is carried on real data taken from Fortis Escorts, Faridabad, India. The results are compared with existing techniques such as Naïve Bayes, Decision Tree model, Logistic Regression model and Support Vector Machine (SVM) model based on various parameters such as accuracy, recall and precision. Remarkable accuracy of 94.59%, recall of 87.87, precision of 100 has been achieved. 05 30 2020 2449 2457 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A2961.059120 https://www.ijrte.org/portfolio-item/A2961059120/ Alpalqa’ Applied University Suad Omar Aldaikh Today, technology is growing at a rapid pace. In future there will be huge demand for competent engineers in electronic industry to confront this demand in technology. Desires of human is being fulfilled today due to lot of specializations have been developed., industrial designer emerged another feature for the division of labor and modern industry in twentieth century. Industrial design is known for regulating the qualities. The industrial designer is responsible for the products and their impact on society and nature. Engineers would be winding in creating and preserve technology to stay ahead in competition. 05 30 2020 2650 2653 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A2962.059120 https://www.ijrte.org/portfolio-item/A2962059120/ Research Scholar GD Goenka University Gurugram, India Ruchi Sharma Khyati Chopra Department of Elec.and Electronics Engineering GD Goenka University Gurugram, India Extensively used technique to diagnose the epilepsy is EEG. The research objective is to check the variations of frequency found in the epileptic EEG signals.. The EEG dataset were acquired from online database of the Bonn University (BU). Then, butterworth type two filter was implemented to remove the unwanted artifacts from the acquired EEG signals. Further, Multivariate Variational Mode Decomposition (MVMD) methodology was applied to decompose the denoised EEG signals. The signal decomposition helps in finding the necessary information, which required to model the complex time series data. Then, the features were extracted from decomposed signals by using fifteen entropy, linear and statistical features. In addition, ant colony optimization technique was proposed for optimizing the extracted features. The optimized feature vectors were classified by Deep Neural Network (DNN) that includes two circumstances (seizure and healthy), and (Interictal, ictal, and normal). The accuracy attained using the ant colony with deep neural network is 98.12% using the BU EEG dataset, respectively related to the existing models. 05 30 2020 2726 2733 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A2314.059120 https://www.ijrte.org/portfolio-item/A2314059120/ Associate Professor, Department of Management of Organizations, Lviv Polytechnic National University, Lviv, Ukraine. Lidiya Lisovska Olena Liutak Professor, Department of International Economic Relations, Lutsk National Technical University, Lutsk, Ukraine Andrii Terebukh Professor , Department of Tourism, Lviv Polytechnic National University, Lviv, Ukraine Oleksandra Mrykhina Associate Professor, Department of Business Economics and Investments, Lviv Polytechnic National University, Lviv, Ukraine The article is devoted to the problems of establishing interaction in innovation processes. The authors, based on a review of scientific sources and best global manufacturing practices, argue that the formation of systems of interaction is a condition for success and efficiency in today's innovation environment. To conduct the study, a two-stage sociological surveys of businessmen who had or plan to implement an innovation partnership was conducted, which are processed by tools for statistical processing of information Five groups of factors that determine the search for a partner were identified: quality, market, information and communication, cost, property. Each of these groups of factors influences the decision-making on innovation cooperation differently. The authors put forward two hypotheses about the importance of these factors. To substantiate them, a survey of businessmen with experience in innovation partnerships was conducted. The hypothesis was confirmed. The most important factors for the partnership are the cost of innovation. In the second place, property factors were identified. Thus, according to the respondents, the lack of financial resources and own material assets necessitates the search for a partner. The most manageable factors that are easiest to influence are the group of factors information and communication and quality factors. Since the most significant factors are considered cost factors and property factors, the density of the relationship between the estimates of these factors for the respondents was estimated and is recognized as significant. So, respondents 05 30 2020 2551 2559 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A2973.059120 https://www.ijrte.org/portfolio-item/A2973059120/ Department of Mechanical Engineering, Pondicherry Engineering College, Puducherry – 605014, India. Subramanian N* Senthilvel K Department of Mechanical Engineering, Karaikal Polytechnic College, Karaikal - 609609, Pondicherry, India B. Prabu Department of Mechanical Engineering, Pondicherry Engineering College, Puducherry–605014, India. e-mail: prabu@pec.edu. .org In this present work NBR/PVC conventional composite containing 70phr carbon black (CB) is taken for study. In order to reduce the utilization of CB, new hybrid nanocomposites containing varied content of both CB(40phr -55phr) and graphenenanoplatelets (GNP) (3phr-9phr) were developed by melt-mixing on a two roll mill and their morphology and mechanical properties were tested and compared with conventional composite. FESEM studies evident that the formation of exfoliated structures of GNP and formation of local CB-GNP hybrid filler network which ensures proper and compatible mixing in the composites. It is also found that mechanical properties such as tensile strength, elongation at break, swelling resistance, hardness and compression set increases with increase in GNP content from 3 to 6phr and whereas tensile modulus and tear strength increases with increase in GNP content from 3 to 9phr. Further the developed NBR/PVC hybrid nanocompositescontaining 55phr of CB and 3phr of GNP exhibited an improvement of 6.8%, 27.9% +1 shore A and 4.1% in tensile strength, tensile modulus, hardness, swelling resistance in comparison to the conventional composite containing 70phr CB. The better performance of NBR/PVC hybrid nanocomposites can be mainly attributed to high surface area of functionalized nanographene and its enhanced interactions with the NBR/PVC matrix, enhanced CB-GNP interactions, improved dispersion of graphene in the rubber blend due the presence of COOH group on the surface of graphene layers and formation of more cross-links between rubber and fillers with increase in nanofiller content . These newly developed hybrid nanocomposites can be used in automotive sector especially for oil seal applications where low compression set and high solvent resistance are of prime importance. 05 30 2020 2606 2611 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A2979.059120 https://www.ijrte.org/portfolio-item/A2979059120/ School of computer science and Engineering, Vellore Institute of Technology Vellore, India. Vaibhav Sontakke* Siva Shanmugham G School of computer science and Engineering, Vellore institute of technology Vellore India. Those who are visionless or visually compromised and rely heavily on others, like their family or friends. Whereas in acquainted settings, they're going to face several obstacles whereas conducting their everyday activities. A bit like we tend to love democracy and knowledge it, so that they can expertise it too. They ought to not be set apart merely as a result of capable otherwise and particularly in today's world wherever we tend to are technologically thus advance. The planned work object discovery system identifies, calculates the gap to our camera from an illustrious entity in a picture and scans the important world objects from binary pictures or film, wherever the entity might belong to any category or cluster, like folks, cars, vehicles, etc. to finish this duty of detection an object in a picture or video, I used OpenCV packages, Caffe model, Python, and NumPy. This investigation work discovers however deep learning techniques are wont to notice a live object, find an item, reason an item, extract options and show information and lots of additional, in footage and videos use OpenCV and the way to use the Caffe model, and conjointly why select the restaurant prototype over alternative frames. To form our deep learning-based period factor detector with OpenCV, we did like to access webcams and apply factor discovery to every frame effectively. 05 30 2020 2520 2525 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A2987.059120 https://www.ijrte.org/portfolio-item/A2987059120/ School of Electronics and Communication Engineering, Vellore Institute of Technology, Vellore, India. Aakriti Mittal Abhijit Bhowmick School of Electronics and Communication Engineering, Vellore Institute of Technology, Vellore, India. With increasing population and the corresponding increase in road’s there has been a significant increase in the number of street light requirements, thereby, increasing the energy and investment costs [2]. However, with the advancement in technology, many new different energy efficient and smart street lighting solutions approaches proposed. The conventional systems prove to be without purpose on most days as they are manually operated which thus leads to huge amounts of meaningless power and human-power wastage [4]. In this project, I have designed an automated IOT based street lighting framework with integrated sensors and controllers communicating with each other using the LoRa technology which requires low power and cost thereby making the system more secure, cost and power effective solution. The LoRa end nodes(streetlights) send sensor data over the air to the LoRa gateway using LoRa WAN protocol, placed at a maximum distance of 5km. The gateway in turn forwards the data to the cloud server which processes it and communicates with the sensors for required actions. 05 30 2020 2654 2658 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A2990.059120 https://www.ijrte.org/portfolio-item/A2990059120/ M.Tech from JNTU, Hyderabad R.Sateesh Kumar* Dr.S.Sameen Fatima Department of Computer Science and Engineering of Osmania Anna Thomas M.Tech in Computer Science & Engineering, Department of Computer Science & Engineering, Vasavi College of Engineering, Hyderabad. The human heart is the very important organ in our body. The World Health Organization estimates 31% of deaths are due to heart disease taking an estimated 1.79 crore lives. Unhealthy lifestyle, family history of heart problems, stress, etc. are few risk factors for heart disease. In this paper we are proposing an ensembling classifier using K-NN[17] , SVM[18], MK-NN and CART[19] (Decision Tree algorithm) for the efficient prediction of heart disease. The performance and efficiency of the algorithms and ensembling classifier are evaluated. The results indicate that the proposed system was more accurate to determine the existence or non-existence of heart disease. Out of these algorithms, ensemble classifier predicts heart disease more accurately. The accuracy is above 93%. 05 30 2020 2612 2616 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A2997.059120 https://www.ijrte.org/portfolio-item/A2997059120/ B.Tech in Mechanical Engineering from KIIT University , Bhubaneswar , Orissa , India. Devjyoti Pal Ali Ansari M.Tech in Structural Engineering from Integral University, Lucknow, India. Kantanu Kr. Behera Founder of K Infotech and Engineering Services, Durgapur, India. With the increase in global warming levels day by day leading to the increase in average temperature throughout the year which makes people living in areas infested with load- shedding more hectic and troublesome. As the contemporary cooling method including Coolers and Air-conditioners do not work on the inverter for backup electricity purposes which make them useless as such during the peak heat hours. So, as to combat the problem with portability, economy and cost-effectiveness in mind the concept of alternative air conditioning using TEC while being used of the grid and rechargeable. While it is a common knowledge that co-efficient of performance of TEC is sub-par when compared to vapor compression air refrigeration used today but with optimized manufacturing techniques and forced convection of cold liquid increasing the effective cooling for the device and humidity controlling using moisture absorbent along with capillary tubing as thermal siphoning for heat reduction at the hot sink instead of air fin to reduce ambient heat radiation. Basically in this research we tried to increase the coefficient of performance of the Peltier Module using various techniques. The Module is also not power efficient , so in long run we can’t use plenty of them either two or three also we need to create the cooling effect . So keeping everything in mind we use the module accordingly to achieve the goal and make it a model for mass production 05 30 2020 2458 2463 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A3010.059120 https://www.ijrte.org/portfolio-item/A3010059120/ Department of Computer Science and Engineering, Rajalakshmi Engineering College, Chennai, India. S. Geethapriya* Dr. P. Kumar Professor, Department of Computer Science and Engineering, Rajalakshmi Engineering College, Chennai, India. Pedestrian detection is one of the important tasks in object detection technology. The pedestrian detection algorithm has been used in applications like intelligent video surveillance, traffic analysis, and autonomous driving. In recent years, many pedestrian detection algorithms have been proposed but the key drawback is the accuracy and speed, which can be improved my integrating efficient algorithms. The proposed model improves the pedestrian detection algorithm by integrating two efficient algorithms together. The model is developed using the joint version of ResNet and YOLO v2, which preforms feature extraction and classification respectively. By using this model the efficiency of the system is increased by improving the accuracy rate so that it can be used with real-time applications. The model has been compared with existing models like SSD, Faster R-CNN and Mask R-CNN. Comparing with these models, the proposed model provides mAP value higher than these existing models with less loss function when tested on the INRIA dataset. 05 30 2020 2480 2485 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A3012.059120 https://www.ijrte.org/portfolio-item/A3012059120/ Assistant Professor, Mechanical Engineering, JIMS Engineering Management Technical Campus, Greater Noida, India. Mudit Sharma* Abhishek kumar singh UG Students of Department of Mechanical Engineering, JIMS Engineering Management Technical Campus, Greater Noida. India Abhishek UG Students of Department of Mechanical Engineering, JIMS Engineering Management Technical Campus, Greater Noida. India Rahul kumar UG Students of Department of Mechanical Engineering, JIMS Engineering Management Technical Campus, Greater Noida. India Raman Shoal UG Students of Department of Mechanical Engineering, JIMS Engineering Management Technical Campus, Greater Noida. India this paper describes the working of compressed air engine which is regarded as the fourth most utility after electricity, natural gas and water. Compression, storage, and release of air are termed as compressed air technology (CAT)As we know that the pollution caused by combustion of fuel is polluting the environment. Compressed air engine basically replaces the combustion of fuel with compressed air technology. Here air is compressed in small volume and stored in container. Since the air is at high temperature, it contains some amount of energy. This energy can be used to do some useful work (such as displacing the piston). The piston transmits the energy to crank which in turn rotates the wheels. Many other advantages of compressed air engine are there such as it is less costly, simple mechanism, easy to maintenance, explosion free. It can also be used for doing various operations in industries such as drive for conveyors, fluid pumps for small displacement. 05 30 2020 2464 2469 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A3015.059120 https://www.ijrte.org/portfolio-item/A3015059120/ Assistant Professor, Department of Mechanical Engineering, JEMTEC Greater Noida, India. Mr. Gurpreet Singh Mayank Department of Mechanical Engineering, JEMTEC Greater Noida, India. Tejaswi Department of Mechanical Engineering, JEMTEC Greater Noida, India. Nitish Malik Department of Mechanical Engineering, JEMTEC Greater Noida, India. Mandeep Sharma Department of Mechanical Engineering, JEMTEC Greater Noida, India. With the emerging technology the auto region is likewise evolving. Since previous couple of years, it has been found that various advancements were made concerning the security of the car. To boom the safety degree and to combat the robbery instances this assignment has been proposed. The predominant concept at the back of this mission is to install a safety device for an automobile handbrake which can be operated digitally to guard motors from being stolen. Apart from introducing new techniques of engaging the handbrake there has been no predominant improvement on this place of automobiles. The operation will remain identical as the handbrake is operated; the exchange could be made inside the working mechanism i.e. The twine that transmits the force to the brake pads of the rear wheels. A safety module could be installed surrounding the wire in which the twine can be locked through a piston cylinder arrangement. When the fingerprint matches with the registered one it'll actuate the piston cylinder sensor giving it sign to lock or release the handbrake twine. Both the sensors could be monitored via the ECU. With the introduction of such kind of system the safety of the automobile will be progressed as much as higher degree. 05 30 2020 2714 2718 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A3021.059120 https://www.ijrte.org/portfolio-item/A3021059120/ Department of Electronics and Communication Engineering, Usha Mittal Institute of Technology SNDT Women’s University, Mumbai, India. Sankit R. Kassa* Swarnashree Shashikumar Department of Electronics and Communication Engineering, Usha Mittal Institute of Technology SNDT Women’s University, Mumbai, India. Arpita Kanchagar Department of Electronics and Communication Engineering, Usha Mittal Institute of Technology SNDT Women’s University, Mumbai, India. A much-required breakthrough in the field of VLSI took place with the birth of Quantum-dot cellular automata (QCA) technology, an impressive amalgamation of Quantum Physics and Nanotechnology and acted as a possible replacement to the age-old semiconductor transistor-based de- signs (CMOS) with Boolean paradigm. In this paper, we aim at implementing this technology to build a robust 8:1 multiplexer that can help in building and developing many more digital logic circuits, from an already proposed 2:1 multiplexer. It has excellent efficiency with respect to least cell count, latency, space and power dissipation. 05 30 2020 2659 2662 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A3022.059120 https://www.ijrte.org/portfolio-item/A3022059120/ School of Computer Engineering, Kalinga Institute of Industrial Technology, [Deemed To Be University], Bhubaneswar. Prachi Vijayeeta* M. N. Das School of Computer Engineering, Kalinga Institute of Industrial Technology, [Deemed To Be University], Bhubaneswar. B. S. P. Mishra School of Computer Engineering, Kalinga Institute of Industrial Technology, [Deemed To Be University], Bhubaneswar. A major thrust in the field of computational intelligence is the ability to comprehend and interpret intelligence in combination with several research disciplines of computer science, biology, statistics, and cognitive science. The emergence of bio informatics is a two-fold manifestation of advance biology along with data mining and statistical learning that attempts to analyse and interpret a large collection of medical data. It aims at exploring facts about unknown patterns. This paper aims at providing a model that numerically analyses the existence of carcinomas in the genomic data sequence. Attempts have been taken to optimise the highly contributing factors using recent nature inspired algorithms like Emperor Penguin Optimization Algorithm (EPOA) and Chaotic Artificial Algae Optimization(CAAO). These algorithms are gaining popularity as they are capable of exploring global optimum instead of local optimum. The performance of these algorithms are judged by implementing it in seven benchmark datasets. To ensure a good potential of these new algorithms, we have made a comparative study with the capability of other indigenous optimization algorithms like PSO etc. 05 30 2020 2752 2762 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A3025.059120 https://www.ijrte.org/portfolio-item/A3025059120/ PG Scholar, Department of Electronics Engineering, G H Raisoni college of Engineering, Nagpur, India. Rahul Jadia* Sonali Joshi Assistant Professor, Department of Electronics Engineering, G H Raisoni college of Engineering, Nagpur, India. In under this research article, neoteric circuits for Exclusive OR gate and Exclusive NOR gate are designed. The designed logic is highly refined in terms of power consummation and speed, which are due to minimum CL at the output and low leakage power. We followed six novel hybrids, one bit one full-adder design based on the new Exclusive OR gate and Exclusive NOR (XOR-XNOR) gates. Many Relevant designed logics carries its advantages within aspect relevant to delay power, dissipation power, speed, as well as all that. Within validate the presentation of the introduced design, major SPICE as well as Tanner EDA simulations function as executed. This simulation outcomes, arrange at a 65-nanometer based on hybrid technique process, reveal for the introduced architecture have the best speed and power in contempt of different Full Adder architectures. The proposed design has a minimum power of 0.8 nw & delay of 9.4 ns, which is very optimized & efficient than the reference design. The previous design has 4.08-microwatt power. We customized the design with 22T and change the design methodology to make the results optimized. 05 30 2020 2560 2564 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A3026.059120 https://www.ijrte.org/portfolio-item/A3026059120/ Department of Electrical and Computer Engineering, Adama Science and Technology university, Adama, Ethiopia. Dr. Prathibha. E* Hinsermu Alemayehu Department of Electrical and Computer Engineering, Adama Science and Technology university, Adama, Ethiopia. Dr. A. Manjunatha principal at Sri Krishna institute of technology, Bangalore, Karnataka. India Smart meters have been developed to capture PQ events, detect the event, compress events and characterize events. The events are stored in local memory of smart meter as well are transmitted over communication channel. The smart meter hardware that performs complex signals processing activity such as event detection, classification and compression need to be implemented on reconfigurable platforms. FPGAs are used in smart meters as they support reconfigurability and also has inbuilt memory modules, processor modules and additional features for interfacing. High speed low power area efficient architectures for computation of Dual Tree Complex Wavelet Transform (DTCWT). 05 30 2020 2617 2621 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A3027.059120 https://www.ijrte.org/portfolio-item/A3027059120/ Department of CSE, VR Siddhartha Engineering College, Vijayawada, India G.Charan Dinesh* MD. Razzaq Department of CSE, VR Siddhartha Engineering College, Vijayawada, India, A.Raghavendra Rao Department of CSE, VR Siddhartha Engineering college, Vijayawada, India, K. srinivas Department of CSE, VR Siddhartha Engineering College, Vijayawada, India Land cover change detection has been a topic of active research in the remote sensing community. Due to enormous amount of data available from satellites. The land cover change detection has often been performed by comparing two or more satellite snapshot images acquired on different time period. The image comparison techniques have a number of limitations. The traditional Convolution Neural Network (CNN) method has several problems, such as the weak generalization ability of the model and the difficulty of automating the construction of a training database. These methods generally have high land mapping accuracy but they are time-consuming, laborious, poor repeatability. When compared to the previous models such as U net, we will get more accuracy and also time consumption is minimum, by using this proposed approach. In this paper we will be Siamese so it is named as M-Siamese. To overcome the problem, we had used Siamese network in M-Siamese. The Siamese network is improved Accuracy and Enhanced Flexibility. In this paper we are using M-Siamese network which is effective than the previous Siamese networks. By using this type we will acquire more accuracy than that of previous networks. Finally, we had concluded the change of land cover in percentage. 05 30 2020 2800 2803 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A3031.059120 https://www.ijrte.org/portfolio-item/A3031059120/ Department of Mechanical Engineering, Jain (Deemed to be university), Ramanagara, India Karthik N* Abhijeet Nagraaj Department of Mechanical Engineering, Jain (Deemed to be university), Ramanagara, India This project demonstrates and tests the feasibility of an omni wheel plotter, where plotters are used to obtain the vector and line drawings of engineering models. The plotters developed before were having rigid frame, bulky and. many of the plotters developed for academic purpose are for research purpose having less flexibility or constrained to a large extent. In this project, a plotter is developed which does not contain any rigid frame. Instead it uses a movable frame with omni wheels attached to it for mobility. The use of omni wheels makes the design of chassis or frame easy. To further simplify the design, a pivot joint suspension is built into it. The electronics part of the plotter consists of an Arduino Uno microcontroller board, ULN2003 stepper motor driver and a PCB to provide the power for running the motor drivers. The ‘G’ and ‘M’ codes are used to plot the required figure by the plotter. All connections were first designed and tested on a software called Fritzing. For programming the ‘Uno’ microcontroller, software provided by Arduino is used. The codes are communicated to the plotter with the help of HC-05 Bluetooth module. For sending these commands, a software called Coolterm is used. All software’s used for design, fabrication and coding of the electronics is based on open source license, while the chassis has been designed using SolidWorks software. These plotters can be used for plotting 2D figures and PCB circuits, they can also be used for cutting 2D shapes and removal of excess material by replacing the pen with suitable cutting tool or laser cutters. 05 30 2020 2565 2570 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A3033.059120 https://www.ijrte.org/portfolio-item/A3033059120/ Assistant Professor, Department of Computer Science and Engineering, SRM Institute of Science and Technology, Ramapuram, Chennai, India. N. Jeenath Shafana* Anupam Tiwari Student, Department of Computer Science and Engineering, SRM Institute of Science and Technology, Ramapuram, Chennai, India. Ramkesh Kasana Student, Department of Computer Science and Engineering, SRM Institute of Science and Technology, Ramapuram, Chennai, India. Different Technologies are emerging in the field of Home Surveillance now a days. Surveillance systems are being used to reduce man power and to increase security of a home. Technologies like Computer Vision and Internet of Things (IOT) are one of them. In this project a surveillance system has been implemented employing a single board computer i.e. Raspberry Pi 3 which will act like a central processing unit with the help of python language and a module named as Open Source Computer Vision(Open CV).To make it more automated a local database of authorized persons has been made. It will store the images of the different authorized persons who can enter in that security area. Camera will be always in surveillance mode and it will be searching for a face persistently. It’ll act as Computer Vision. This will lead to more accurate system with high efficiency. Therefore it’ll capture the image of the person automatically and compare it with the local database. In the case of match, door will be open automatically otherwise in the case of unauthorized person, system will send the image of the unauthorized person to owner of the home via SMTP(Simple Mail Transfer Protocol). A local library in Python - "smtplib" is being press into service to send messages. The smtplib module characterizes a SMTP customer meeting object that can be utilized to send messages to any Web machine with SMTP( Simple Mail Transfer Protocol). Also a webpage has been made with the help of apache server to store the images of unauthorized persons. 05 30 2020 2792 2794 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A3036.059120 https://www.ijrte.org/portfolio-item/A3036059120/ Student, Master of Technology, Department of Electronics and Communication, B.M.S college of Engineering, Bengaluru, India Kathayayani N* Jayanthi K Murthy Associate Professor, Department of Electronics and Communication, B.M.S college of Engineering, Bengaluru, India. Vaibhav Nityanand Naik Software Engineer, Computer Software, Banngalore, India. Data security for IOT devices is very import aspect these days as the world is moving towards digitalization. Consider a smart energy meter which provides a way to monitor the energy consumption at home, data security in such smart meter reading is very important. If the Power reading signals are tampered, then it may cause serious economic loss for the authorities. The personal information infringement of user can occur at the database and may fall in the hands of unethical persons. In order to address these issues in this paper we propose to use a permissioned blockchain network. Blockchain maintains time stamped ledger records that are very hard to tamper. Every transaction is recorded and distributed across many participant nodes, these records are immutable because they have blocks of data which are linked to each other with strong cryptographic hash. The blockchain network is built using hyperledger fabric, where all the participant nodes are registered and only registered nodes involve in consensus process of transaction. In fabric, MSP (membership service provider) identifies the identity of the participant nodes through X.509 digital certificates issued by certificate authority. Along with creation of blockchain network for the application, a mobile client, a web client, an Arduino client and web server is created. The Arduino client is the hardware module that has an energy meter (SDM120) measuring the energy consumption of the user and sends this information serially to NODEMCU. NODEMCU POSTs the read energy details to the web server at particular api, web server POSTs the details to the Blockchain Network, where transactions undergoes consensus to add this information to blockchain ledger. Now data is decentralized and every peer node has the local copy of ledger. The updated information can be queried and seen on the web Client and Mobile client user interfaces. Anonymity-enhanced blockchain has been implemented to avoid the disclosure of personal information or data. Also performance analysis of the application is carried out for number of sequential requests and concurrent requests from many users using different tools. 05 30 2020 2571 2577 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A3040.059120 https://www.ijrte.org/portfolio-item/A3040059120/ Assistant Professor, Department of Computer Applications, Kumaraguru College of Technology, Coimbatore, Tamil Nadu, India. M. Amala Jayanthi* Dr. R. Lakshmana Kumar Assistant Professor & Technical Led, Department of Computer Applications, Hindusthan College of Engineering and Technology, Coimbatore, Tamil Nadu, India. According to Bloom's Taxonomy, the motto of education is to groom the students' as a better personality in knowledge, skill set and emotions under the supervision of academicians. Development of information technology paves the way to analyse the data from the educational environment and make decisions which help to be in track to achieve the motto. i.e. Educational Data mining. Education Data mining is one of the research domains of data mining which convert the data from the educational sector as insights for decision making. This paper is to analyse the effect of student's academic interest on emotional happiness and academic performance by applying supervised and unsupervised learning techniques. Students' Emotional Happiness and students' academic performance is evaluated by the Oxford Happiness Inventory and criterion reference model. Academic interest is received as yes or no responses from the students. Naive Bayes classification algorithm and K Means clustering algorithm is applied to categorise the student participants based on their happiness scale, academic interest and academic performance. The association between academic interest and performance is determined using predictive and descriptive mining. By this research, it is witnessed the positive association between academic interest, happiness and performance. The insights of this investigation will allow the teachers' to understand the students in a better way and do the needful to enhance academic efficiency. 05 30 2020 2486 2489 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A3043.059120 https://www.ijrte.org/portfolio-item/A3043059120/ Research scholar, Department of Electronics and Communication Engineering, School of Engineering, Avinashilingam Institute for Home Science and Higher Education for Women, Coimbatore, India. N. Kirthika* Dr.B. Sargunam Associate Professor & Head, Department of Electronics and Communication Engineering, School of Engineering, Avinashilingam Institute for Home Science and Higher Education for Women, Coimbatore, India. Endoscopy is a regular, clinical non-surgical procedure to examine hollow organs like esophagus, stomach, intestine, etc., Nowadays, due to rapid technological development and miniaturization of hardware endoscopy can be performed in the respiratory tract, urinary tract, female reproductive tract and joints apart from gastrointestinal (GI) tract. The need for GI endoscopy is to examine, and diagnose ailments like cancers, polyps, and assist cauterizing bleeding vessels. The organ nature creates lots of artifacts in the imaged tissue such as saturation, specularity, blur, contrast, bubbles, and debris which causes significant challenges in quantitative analysis. Thus, combining state-of-the-art deep learning object detection algorithms like YOLOv3 with endoscopy leads to efficient and accurate localization and categorization of different imaging artifacts. This paper presents a detailed implementation of YOLOv3 in detecting endoscopic artifacts. Intensive training in a GPU enabled environment (Google COLAB) was carried out. The experimental results of the algorithm achieve mAP% of 55.18 for identifying the artifacts in endoscopic images with a prediction time of 0.0179 seconds on test images. 05 30 2020 2578 2583 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A3050.059120 https://www.ijrte.org/portfolio-item/A3050059120/ Assistant Professor, Department of Mechanical Engineering, JEMTEC Greater Noida, UP, India. Mr. Gurpreet Singh* Lakshay Kishore Student, Department of Mechanical Engineering, JEMTEC Greater Noida, UP, India. Pradip Singh Student, Department of Mechanical Engineering, JEMTEC Greater Noida, UP, India. Abhishek Srivastava Student, Department of Mechanical Engineering, JEMTEC Greater Noida, UP, India. Khushal Vashishth Student, Department of Mechanical Engineering, JEMTEC Greater Noida, UP, India Rahul Likhar Student, Department of Mechanical Engineering, JEMTEC Greater Noida, UP, India. Nowadays, the drilling machine is developing very fast with more uses and application. In basic drilling machine, the machine work in particular direction which is the limitation in this machine. And there is more problem like space between the drill and job is very less. In this project we are working on the flexible drilling machine which can work in any direction and can be adjust as per choice. And drilling machine work automatically that can make work easier and can done more accurately. It is mounted on the flat surface as like table which can rotate in any direction, move up and down. It will reduce the setting time and capital for the operation. And in this drilling machine, we use permanent magnetic chuck which is attached to drilling machine. 05 30 2020 2316 2322 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A3051.059120 https://www.ijrte.org/portfolio-item/A3051059120/ is currently pursuing B.E Degree program in Computer Science and Engineering in Matrusri Engineering College, Saidabad, Affiliated to Osmania University, Hyderabad, Telangana, India. His research work focuses on Natural Language Processing and Computer vision. Saketh Mattupalli* Apurva Bhandari is currently pursuing B.E Degree program in Computer Science and Engineering in Matrusri Engineering College, Saidabad, affiliated to Osmania University, Hyderabad, Telangana, India Her research work focuses on Deep Learning and Machine Learning. B.J Praveena is currently working as a Asst.professor in Matrusri Engineering College, Saidabad, Affiliated to Osmania University, Hyderabad, Telangana, India. Her research work mainly focuses on cloud computing and Artificial Intelligence. In this century, Artificial Intelligence AI has gained lot of popularity because of the performance of the AI models with good accuracy scores. Natural Language Processing NLP which is a major subfield of AI deals with analysis of huge amounts of Natural Language data and processing it. Text Summarization is one of the major applications of NLP. The basic idea of Text Summarization is, when we have large news articles or reviews and we need a gist of news or reviews with in a short period of time then summarization will be useful. Text Summarization also finds its unique place in many applications like patent research, Help desk and customer support. There are numerous ways to build a Text Summarization Model but this paper will mainly focus on building a Text Summarization Model using seq2seq architecture and TensorFlow API. 05 30 2020 2663 2667 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A3056.059120 https://www.ijrte.org/portfolio-item/A3056059120/ PG Student Department of Master of Computer Applications RV College of Engineering, Bangalore Sweta Mittal* Jayasimha S R Assistant Professor Department of Master of Computer Applications RV College of Engineering, Bangalore In the world of internet and technology, technical advancement is widely accepted by both types of users - with and without technical knowledge. Advancement in technologies also brings in different risks involved along with it. These risks involve risks of being compromised at any point of time, leading to identity theft or financial loss or loss of very confidential information. Phishing attacks are one such kind of attack which can trap anyone into it, let it be a novice user or a sophisticated user. This paper involves what phishing attacks are, how the phishers target cloud services, how they deceive users, how the phishers send phish sites to its target. It also includes the background process that happens in normal scenarios and during phishing, a proposed mechanism which can be used for detection, safety measures which if taken can reduce the chances of falling in the trap and mechanisms used by researchers in order to detect and prevent phishing sites. 05 30 2020 2622 2625 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A3066.059120 https://www.ijrte.org/portfolio-item/A3066059120/ CSE, VR Siddhartha Engineering College, Vijayawada, India. P. Chandana* K.Sree Vijaya Lakshmi CSE, VR Siddhartha Engineering College, Vijayawada, India. Now a day's prediction of fake news is somewhat an important aspect. The spreading of fake news mainly misleads the people and some false news that led to the absence of truth and stirs up the public opinion. It might influence some people in the society which leads to a loss in all directions like financial, psychological and also political issues, affecting voting decisions during elections etc. Our research work is to find reliable and accurate model that categorize a given news in dataset as fake or real. The existing techniques involved in are from a deep learning perspective by Recurrent Neural Network (RNN) technique models Vanilla, Gated Recurrent Unit (GRU) and Long Short-Term Memories (LSTMs) by applying on LAIR dataset. So we come up with a different plan to increase the accuracy by hybridizing Decision Tree and Random Forest. 05 30 2020 2668 2671 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A3067.059120 https://www.ijrte.org/portfolio-item/A3067059120/ PG Student, Department of Electrical and Electronics Engineering, JSS S&T University, Mysuru, INDIA Rangaswamy B N* Saritha M Ph.D Scholar, Department of Electrical and Electronics Engineering, JSS S&T University, Mysuru, INDIA Dr. Sidram M H Associate Professor Department of Electrical and Electronics Engineering, JSS S&T University, Mysuru, INDIA In this proposed work, Synchronous Reference Frame (SRF) based control algorithm is used in Photovoltaic (PV) grid integration through Distribution Static Synchronous Compensator (DSTATCOM) with Battery Energy Storage (BES) system for simultaneous mitigation of power quality issues and for real power injection. In order to makeover the issues in the quality of power in the system by compensating neutral current, asymmetrical loads in the four wire three phase nonlinear and unbalanced load distribution system. The highest power of PV is tracked using Incremental Conductance (Inc) method and the voltage of DC bus is preserved by Bidirectional DC-DC Converter (BDDC). The proposed system works as PV-DSTATCOM mode which performs DSTATCOM operation by improving power quality with the capability of transferring the generated PV power to the consumers and Grid, and in BES-DSTATCOM mode it supplies power to the utility load. The proposed system is implemented and modeled for 11kV/440V utility system. The results have been obtained using sim power system tools in MATLAB/SIMULINK environment. 05 30 2020 2689 2697 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A3072.059120 https://www.ijrte.org/portfolio-item/A3072059120/ Department of Electronics and Communication, KLE Dr.M.S.Sheshgiri College of Engineering and Technology Belagavi, India. Mr.Rohit S. Balekundri* Dr.Arun S. Tigadi Department of Electronics and Communication, KLE Dr.M.S.Sheshgiri College of Engineering and Technology Belagavi,India. Miss.Namrata N.Kitturkar Department of Electronics and Communication, KLE Dr.M.S.Sheshgiri College of Engineering and Technology Belagavi,India. Miss.Akshata Kulkarni Department of Electronics and Communication, KLE Dr.M.S.Sheshgiri College of Engineering and Technology Belagavi,India. Miss.Praneetha V.Nayak Department of Electronics and Communication, KLE Dr.M.S.Sheshgiri College of Engineering and Technology Belagavi,India. This paper principally combines ideas of laptop vision, machine learning and deep learning for correct detection of traffic lights and their classifications. It checks for each circular and arrow stoplight cases. Color filtering and blob discover ion area unit principally to detect the candidates (traffic lights) [6]. Then, a PCA network is employed as a multiclass classifier which provides the result sporadically. MOT will used for more trailing method and prediction filters out false positives. Sometimes, vote theme can even be used rather than MOT. This method will be simply fitted into ADAS vehicles once hardware thinks about. Recognition is as vital as detective work the traffic lights. While not recognition, no full data will be transmitted [2]. Many complicated TLR’s will give advance functions like observing the most the most for a specific route (when there's quite one) and the way removed from the driving force [3]. Deep learning is additionally one among the rising techniques for analysis areas [7]. Object detection comes as associate integral a part of laptop vision. Object detection will be best utilized in create estimation, vehicle detection, police work etc. In detection algorithms, we tend to incline to draw a bounding box round the object of interest to find it among the image. Also, the drawing of the bounding box isn't distinctive and might hyperbolically looking on the need [9]. 05 30 2020 2526 2534 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A3074.059120 https://www.ijrte.org/portfolio-item/A3074059120/ PG Student Department of Master of Computer Applications RV College of Engineering®, Bangalore V Ramya* Jayasimha S R Assistant Professor Department of Master of Computer Applications RV College of Engineering®, Bangalore Data is very valuable and it is generated in large volumes. The Use of high-quality data for making quality decisions has become a huge task which helps people to make better decisions, analysis, predictions. We are surrounded by data with errors, Data cleaning is a delayed, complicated task and considered costly. Data polishing is important since it is necessary to remove errors from the data before transferring to the data warehouse since poor quality data is eliminated to get the desired results. The Error-free data will produce precise and accurate results when queried. Hence consistent and proper data is required for the decision making. The characteristics of data polishing is data repairing and data association. Identifying the homogeneous object and linking it to the most associated object is defined as Association. The process of making the database reliable by repairing and finding the faults is defined as repairing. In the case of big data applications, we do not use all the existing data, we use only subsets of appropriate data. Association is the process of converting extensive amounts of raw data to subsets of appropriate data that are useful. Once we get the appropriate data, the available data is analyzed and it leads to knowledge [14]. Multiple approaches are used to associate the given data and to achieve meaningful and useful knowledge to fix or repair [12]. Maintaining polished quality of data is referred to as data polishing. Usually the objectives of data polishing are not properly defined. This paper will discuss the goals of data cleaning and different approaches for data cleaning platforms. 05 30 2020 2535 2539 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A3088.059120 https://www.ijrte.org/portfolio-item/A3088059120/ Department of Electrical and Electronics Engineering Maharaja Agrasen Institute of Technology Ayush Chaturvedi* Divyanshu Shekhar Department of Electrical and Electronics Engineering Maharaja Agrasen Institute of Technology Lakesh Goel Department of Electrical and Electronics Engineering Maharaja Agrasen Institute of Technology Gaurav Sharma Department of Electrical and Electronics Engineering Maharaja Agrasen Institute of Technology Harendra Kalyan Department of Electrical and Electronics Engineering Maharaja Agrasen Institute of Technology After the Industrial Revolution, big industries and factories came into being and the amount of information i.e. data increased tremendously and hence it became very difficult to keep track of them. Therefore, the need to have a system of database which can be used to keep track of the data that has variables of different types. The evolution of such data acquisition system is traced, the present system in practice is discussed and the future scope of improvement is realized. Today these systems are mostly web based so there is a big security threat which needs to be addressed. This paper highlights the existing solutions and proposes some unique methods to increase the security of Data Acquisition systems. 05 30 2020 2672 2677 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A3092.059120 https://www.ijrte.org/portfolio-item/A3092059120/ Department of Electronics and Communication, KLE Dr. M. S. Sheshgiri college of Engineering and Technology, Visvesvaraya Technological University, Belagavi, Karnataka, India. Anusha A. Nandargi* Ashwini Bagewadi Department of Electronics and Communication, KLE Dr. M. S. Sheshgiri college of Engineering and Technology, Visvesvaraya Technological University, Belagavi, Karnataka, India. Amey Joshi Department of Electronics and Communication, KLE Dr. M. S. Sheshgiri college of Engineering and Technology, Visvesvaraya Technological University, Belagavi, Karnataka, India. Ajinkya Jadhav Department of Electronics and Communication, KLE Dr. M. S. Sheshgiri college of Engineering and Technology, Visvesvaraya Technological University, Belagavi, Karnataka, India. Dr. Arun S. Tigadi* Assistant professor , Department of E and C , K.L.E DR. M.S. Sheshgiri College of Engineering and Technology. Udyambhag, Belagavi, Karnataka , India. Advanced Driving Assistance System (ADAS) has seen tremendous growth over the past 10 years. In recent times, luxury cars, as well as some newly emerging cars, come with ADAS application. From 2014, Because of the entry of the European new car assessment programme (EuroNCAP) [1] in the AEBS test, it helped gain momentum the introduction of ADAS in Europe [1]. Most OEMs and research institutes have already demonstrated on the self-driving cars [1]. So here, a focus is made on road segmentation where LiDAR sensor takes in the image of the surrounding and where the vehicle should know its path, it is fulfilled by processing a convolutional neural network called semantic segmentation on an FPGA board in 16.9ms [3]. Further, a traffic light detection model is also developed by using NVidia Jetson and 2 FPGA boards, collectively named as 'Driving brain' which acts as a super computer for such networks. The results are obtained at higher accuracy by processing the obtained traffic light images into the CNN classifier [5]. Overall, this paper gives a brief idea of the technical trend of autonomous driving which throws light on algorithms and for advanced driver-assistance systems used for road segmentation and traffic light detection. 05 30 2020 2698 2704 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A3103.059120 https://www.ijrte.org/portfolio-item/A3103059120/ Associate Professor of Department Multimedia Technologies, Tashkent University of Information Technologies named after Muhammad al-Khwarizmi, Tashkent, Uzbekistan Varlamova Lyudmila Petrovna* Aripova Zulfiya Dilshodovna Teacher of Department Multimedia Technologies, Tashkent University of Information Technologies named after Muhammad al-Khwarizmi, Tashkent, Uzbekistan. Ganiev Akmal Abdukhalilovich Teacher Professor of Department Multimedia Technologies, Tashkent University of Information Technologies named after Muhammad al-Khwarizmi, Tashkent, Uzbekistan. Fayzullaev Ubaydulla Sagdullaevich Teacher of Department Information technologies, Tashkent State Technical University, Tashkent, Uzbekistan. In the problems of image recognition, various approaches used when the image is noisy and there is a small sample of observations. The article discusses the issue of noise filtering in image processing. The lack of a priori information complicates the processing of data, as a result of which it is necessary to rely on some statistical models of signals and noise. The use of known filters does not always give the desired result. A Gaussian filter can be used for additive noise, a modified Kalman filter eliminates a wider range of noise. 05 30 2020 2584 2587 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A3109.059120 https://www.ijrte.org/portfolio-item/A3109059120/ pursuing Ph.D in Management, Department of Management in GITAM School of Business, Bengaluru Roddam Hari* Dr.P.Anitha Kumari Assitant Professor, Department of Management, GITAM School of Business, Bengaluru. Literature speaks volumes on role of satisfied employees commitment and loyalty towards their Organization’s growth. For the growth of the Organization, the growth of the Individual is also important. Life Insurance Corporation of India in its endeavour to motivate its precious Agency force for higher production and consistency of Life Insurance business and make them professional, help them acquire the required knowledge, competence and skills so that they are capable of handling the Policy Holders, give them a status in the Organization as well as in the Society, has introduced the concept of Club Membership in the year 1971. The Life Insurance Industry in India is growing at a steady pace. Life Insurance penetration (Premiums as a percentage of Gross Domestic Product (GDP) ) in India is lower at 2.76% as of 2017 despite the steady growth rate of the Industry for the last six years. There are 24 Life Insurance Companies doing business in India including the lone Public Sector Life Insurance Corporation of India. An effort is necessitated to study the importance of the two premier clubs in Life Insurance Corporation of India viz., 1) Corporate Club and 2) Club Galaxy for Agents, in improving the Job satisfaction and their commitments towards the Organizational goals. Introduction of premier clubs worked as a motivator, increased the customer satisfaction as well as the job satisfaction of the agency force. 05 30 2020 2678 2685 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A3116.059120 https://www.ijrte.org/portfolio-item/A3116059120/ Department of Electronics and Communication Engineering, Vellore Institute of Technology, Vellore, India Mokshith Reddy A.V* Harsha Nimmagadda Department of Electronics and Communication Engineering, Vellore Institute of Technology, Vellore, India Venkatesh Pallapothu Department of Electronics and Communication Engineering, Vellore Institute of Technology, Vellore, India Jasmine Pemeena Priyadarsini.M Department of Electronics and Communication Engineering, Vellore Institute of Technology, Vellore, India There are many researches going on in the field of Image processing to find an accurate model for detection of forged signatures. It is compulsory to select appropriate algorithm for achieving best results. Many have implemented the available algorithms like LBP, HOG, geometric features and some have designed their own extraction techniques like Histogram of template and mixture of many complex algorithms to detect the forgeries. In our model we extracted edge features of the image using canny edge detection and then extracted features using HOG and then we calculated area, standard deviation, centroid, kurtosis etc. for the edge image which give a feature vector of length 262. There is little research towards one class SVM or outlier detection. We trained our model with different kernels of SVM to find which kernel gives best result. This OC-SVM will be very helpful than a multi class SVM as we will be having only original signatures of the users and not forged so it will be best to use though it is very sensitive it can be used even in the real world. 05 30 2020 2763 2767 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A3121.059120 https://www.ijrte.org/portfolio-item/A3121059120/