-4d90550d17f4602e089-5ab4 20220404034032043 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/ 03 30 2020 8 6 PhD student, PETROJET Company, Joseph teto St., Hayekstep, Cairo, Egypt Khaled A. Abdelazem* H. M. Abd El-Aziz Asst. Prof., Mining and petroleum Dept., Faculty of Engineering, Al-Azhar University, Alnasr St., Cairo, Egypt M. M. Z. Ahmed Prof., Metallurgical and Materials Engineering Department, Faculty of Petroleum and Mining Engineering, Suez University, 43721, Salah Nessim St., Suez, Egypt I. G. El-Batanony Prof., Mechanical Engineering Dept., Faculty of Engineering, Al-Azhar University, Alnasr St., Cairo, Egypt Characterization of Mechanical Properties and Corrosion Resistance of SAF 2205 Duplex Stainless Steel Groove Joints Welded Using Friction Stir Welding Process 03 30 2020 3428 3435 www.ijrte.org 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8502.038620 https://www.ijrte.org/portfolio-item/F8502038620/ Associate Professor, CSE-Department, Kakinada, A.P., India. Dr. B. V. Rama Krishna* Dr. S. Krishna Mohan Rao Associate Professor, GIFT, Bhubaneswar, India. V. G. Sai Krishna Desharaju Ph.D. in Computer Science from Rayalaseema University, Pasupula, Andhra Pradesh, India. Aircraft aviation system modules are considered for eco friendly oriented service estimation by global organizations. The emissions and aerodrome infrastructures effects the environment and citizen areas surrounding to aerodromes. An interest in researching to identify substantial environmental impact factors by authorities to support Eco-systems increased. In this paper Machine-Learning techniques applied over various training data sets related to aircraft aviation systems to generate interesting patterns related to environmental effects by aircrafts. Probabilistic prediction algorithms applied to support decision systems in generating guidelines to enhance the Eco-friendly architectures of aerodromes as well as aircrafts. The factors identification and territorial based environment precautions deviation observed for locating Eco-system regulation needed zones. The classifications performed in this paper over aircraft systems generate interesting measures to classify environmental scalable aircrafts in future with better eco-friendly technology. Rule miners identify the zones attributes associations among various countries. The work projected in this paper supports aircraft organizations to accurately estimate the environmental effect scores for aviation systems. 03 30 2020 2526 2530 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8503.038620 https://www.ijrte.org/portfolio-item/F8503038620/ his/her department, Name of the affiliated College or University/Industry, N. Gopinath* M. Vikram Department of Computer Science and Engineering, Sri Manakula Vinayagar Engineering College, Puducherry, India. R. Goutham Department of Computer Science and Engineering, Sri Manakula Vinayagar Engineering College, Puducherry, India. The Internet of Things (IoT) provides the opportunity of individuals and devices to educate and collaborate with lots of things namely sensors, actuators, appliances and other wirelessly connected things and we proposed an idea to implement IoT in Agriculture. Environmental attributes are measured using sensors. Regarding our survey, we came to know that website is used as an interface, linked to the sensed data. Uses local Database and services which makes app huge. Lags Disease detection and other predictions are not done. Our project generates data in real time and predict the problems, gives early cautioning and prevent interlude, develop new opportunities and plan better Agri-lands for the future by using simulations. Predicts crop diseases and gives preventive measures. Forecasts the climatic conditions like humidity, rainfall and manage the irrigation, checks soil fertility, monitors water quality for optimal plant growth, controls water usage and irrigation management. 03 30 2020 2721 2726 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8506.038620 https://www.ijrte.org/portfolio-item/F8506038620/ School of Manufacturing Engineering, Pauh Putra Campus, Universiti Malaysia Perlis, 02600 Arau, Perlis, Malaysia. S. F. A. Ahmad Noh* Mohamad Ezral Baharudin School of Manufacturing Engineering, Pauh Putra Campus, Universiti Malaysia Perlis, 02600 Arau, Perlis, Malaysia. Azuwir Mohd Nor School of Manufacturing Engineering, Pauh Putra Campus, Universiti Malaysia Perlis, 02600 Arau, Perlis, Malaysia. Mohd Zakimi Zakaria School of Manufacturing Engineering, Pauh Putra Campus, Universiti Malaysia Perlis, 02600 Arau, Perlis, Malaysia. Mohd Sazli Saad School of Manufacturing Engineering, Pauh Putra Campus, Universiti Malaysia Perlis, 02600 Arau, Perlis, Malaysia. A pendulum’s motion was stated to be as a way to illustrate the movement of human body in the studies of multibody system. Therefore, a comparison between the two numerical models in multibody systems were implemented on the articulated pendulums of different sizes. The two numerical models were known as the augmented Lagrangian formulation and fully recursive method. In order to identify the difference performance of the numerical models, various size of articulated pendulums has been tested which are 2, 4, 8, 16, 20 and 40 pendulums. Differential equations developed from both models were solved by using Runge-Kutta 4 and 5. Both models were coded in Matlab and have been optimized in order to ensure only related routine were considered. The performance was evaluated based on the computing time with constant relative and absolute tolerance in Runge-Kutta solver which is 0.01 s. All pendulums were assumed to have the same weight, angle and length. As for the results, the augmented Lagrangian formulation solved the differential equations faster than the fully recursive method when tested up to 20 pendulums. However, fully recursive method started to solve the differential equations faster than the augmented Lagrangian method when it need to deal with a very large system such as 40 pendulums and above. Thus, it can be concluded that the suitable method to solve the small, open loop system such as articulated pendulums is augmented Lagrangian method while for a very large system, the fully recursive method will be more efficient. 03 30 2020 5385 5388 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8508.038620 https://www.ijrte.org/portfolio-item/F8508038620/ Civil Engineering Department, Politeknik Negeri Padang, Padang, Indonesia. Elvi Roza Syofyan* Bambang Istijono Civil Engineering Department, Faculty of Engineering, University of Andalas, Padang, Indonesia. Amrizal Saidi Soil Department, Faculty of Agriculture, University of Andalas, Padang, Indonesia. Revalin Herdianto Civil Engineering Department, Politeknik Negeri Padang, Padang, Indonesia. Currently there has been a research gap in providing sufficient and reliable data for the estimation of surface runoff from ungauged catchment in Batang Kuranji watershed, City of Padang, West Sumatera, Indonesia. The need for such data arose from the fact that land cover changes occur rapidly in the past 20 years, and flash flood and river degradation have been experienced at an alarming scale. However, due to lack of discharge data from upstream catchment, modelling catchment response to the effect of land use changes is hampered. Field measurement is difficult due to accessibility to river tributaries in the upstream catchment. Therefore, the use of digital satellite images and digital elevation model is studied with various DEM (Digital Elevation Model) resolutions for the first time in this catchment. This catchment is situated from 95 to 1858 m above sea level with an annual rainfall of 3440 mm. This watershed is classified as steep with a watershed that has a slope of more than 40% reaching 37.01% of the entire Kuranji watershed area. This study used 30 m and 8 m DEM. Secondary data were gathered from satellite images such as MODIS (MODerate resolution Imaging Spectroradiometer) Land Use. Precipitation data were gathered from three rain gauging stations in or nearby the catchment. Stream geometry data were obtained from the Provincial Office for River Management. Annual discharge and 100-year discharge are calculated using rainfall data for the past 20 years. Runoff discharge was calculated using rational method and SCS (Soil Conservation Services) method. Overall, computed discharge decreases as DEM resolution decreases with percentage varies between 0.98% to 1.76%. The biggest difference between DEM of 30 m and 8 m was shown by the Rational method. However, the difference between years is inconsistent with methods used with no significant pattern. Using the rational method, the biggest difference was by 18.73 m3/s, making up 1.76%. With SCS-CN, however, the biggest difference was 14 m3/s or 1.32% and the smallest was 0.98%. Validation with field measurement suggests that the 8-m DEM varies only 0.16% with actual discharge. Therefore, in the Kuranji catchment, the SCS method coupled with 8-m DEM was found to be accurate for the estimation of surface runoff. 03 30 2020 2531 2538 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8511.038620 https://www.ijrte.org/portfolio-item/F8511038620/ Assistant Professor, Department of Civil Engineering, Dr. D. Y. Patil Institute of Technology Pimpri, Pune, India. Vanishri A. Patil* Dr.Deepa.A. Joshi Professor, Department of Civil Engineering at Dr. D.Y. Patil Institue of Technology, Pimpri, Pune, India. Due to fast urbanization along with horizontal devlopment, devlopment in the vertical direction is also the need era. Safety of these structures is of utmost importance. Several techniques are available to provide saftey against these seismic forces. Out of the various techniques, one is "Tuned Mass Damper". TMD is an energy absorbing device that is installed in a structure. A lot of studies has have been carried and it has been proved that TMD as a device works effectively. The current study aims to develop a TMD as a storey at the top instead of a device. A storey is provided at the top of the structure which will be acting as TMD. The mass of the top structure is to be kept varying from 3% to 5%of the entire mass of the structure with the same frequency. 03 30 2020 2539 2542 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8513.038620 https://www.ijrte.org/portfolio-item/F8513038620/ Assistant Professor, Amrita School of Arts and Sciences, Kochi, Kerala, India. Rashmi J. Menon* Devika M. M.Com, Finance and System, Amrita School of Arts and Sciences, Kochi, Kerala, India. Haya Jumana N. Anzad M.Com, Finance and System, Amrita School of Arts and Sciences, Kochi, Kerala, India. The textile industry in India is a highly organized sector, with garment manufacturers, exporters, suppliers and wholesalers being the gateway to a garment industry in India. Organization life is stressful with the innovation of new technologies, global competition, Competitive pressures. Stressed workers are more likely to be harmful to health, inadequately motivated, not so much productive and unsafe at job. According to this study, stress is a dynamic state in which an individual is confronted with an opportunity, limitations, or need related to what he or she wants and the outcome is perceived as uncertain and important. Work stress is a harmful physical and emotional response that occurs when demands of the job do not match the skills, resources, or needs of the worker. Due to the time constrain, only 100 samples was collected for this study . A study of work stress helps to understand the current satisfaction level of employment of workers. Workload is the major factor which causes stress at work. 03 30 2020 2543 2546 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8515.038620 https://www.ijrte.org/portfolio-item/F8515038620/ Assistant Professor, GMR Institute of Technology and Management, Rajam, Srikakulam. Andhra Pradesh, India. Madhusmita Ghadai* Subrat Kumar Barik Assistant Professor, Mechanical Engineering, Sri Sivani College Of Engineering.Srikakulam, Andhra Pradesh, India. The flow in small geometries is of interest in applications like bioanalysis systems, micro-valves and flow through porous media. The flow generally straight- forward to predict since the flow is stratified and so the geometries are clear-cut. However, once it involves flow through twin scale porous media, the flow gets harder to predict. The flow-through porous media are usually applied to areas like composites manufacturing, paper making and drying of ore pellets. The aim of this paper is to check flows in small geometries with numerical and experimental ways to realize an enlarged understanding of porous media flow. The optical technique best fitted to this sort of geometries is micro image velocimetry (μ-PIV) and numerical calculations are done with computational fluid dynamics (CFD). μ-PIV is employed to analyze the flow in channels with one fiber and with fiber arrays of various patterns and densities. The impact consistency has on flow fields in channels is investigated with CFD. 03 30 2020 3275 3280 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8519.038620 https://www.ijrte.org/portfolio-item/F8519038620/ Assistant Professor, Department of Computer Science, M.S.Ramaiah Institute of Technology, Bangalore, Karnataka, India. Hanumantharaju R* Shreenath K. N. Associate Professor, Department of Computer Science, Siddaganga Institute of Technology, Tumkur, Karnataka, India. Srinivasa K. G. Professor, Department of Computer Science, National Institute of Technical Teacher Training & Research, Chandigarh, India. Swetha N. M.Tech Student, Department of Computer Science, M.S.Ramaiah Institute of Technology, Bangalore, Karnataka, India. Mobile edge computing is a recent trend to complement the Internet of Things (IoT) ecosystem in the computing sector. IoT is the internet connected communications related to physical devices and everyday objects. The emergence of intelligent living spaces has been due to the rapid development of IoT technologies. Blockchain is one such technology that expands the list of information also referred to like records that are saved as blocks in the Blockchain which are connected using cryptographic algorithms. Within a Blockchain IoT environment, when data or device authentication information is stored in a Blockchain, authentication information can be displayed when verifying Block chain’s transactions, which are also referred to as proof of work. A principle of Zero-knowledge proof (ZKF) is implemented in this paper which is a way of proving that knowledge is known without exposing any data to the user. The proposed model uses a Mobile application where users can prove without revealing users' passwords. Blockchain stores client information that can prevent data from being manipulated. The results of applying the ZKF theory for data security are shown through a web application and NFC. 03 30 2020 2547 2552 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8520.038620 https://www.ijrte.org/portfolio-item/F8520038620/ Department of Mechanical Engineer, Gitam University, Hyderabad, India. Mr. Kalidindi Vijaya Krishna Varma* Ms. P. Sneha Department of Mechanical Engineer, CMRCET, Hyderabad, India. Dr. B.V.R Ravi Kumar Professor, Department of Mechanical Engineering, VNR Vignana Jyothi Institute of Engineering and Technology, Hyderabad, India. Dr. M. Venkata Ramana Professor, Department of Automobile Engineering, VNR Vignana Jyothi Institute of Engineering and Technology, Hyderabad, India. In the present research work, an attempt was made to evaluate the weld hardness profile on the weldments along the weld traverse direction fabricated using various tool pin probes (Concave triangular threaded probe, Inner rake angle probe, Flats on edges of probe and Scroll threaded flute probe) at three different rotational speeds 1000 rpm, 1200 rpm, 1400 rpm at single weld traverse speed 25 mm/min. Hardness profiles are useful for establishing interpretation on microstructure and weld mechanical properties, micro hardness was performed in order to outline the weld hardness profile in the vicinity of weld affected areas like Nugget zone, Thermo-mechanically affected zone, Heat affected zone and Boundary zone in the weldments. From the hardness profiles it was found that higher hardness value of 106 VHN1kg (Vicker’s Hardness Number at 1kg load) was obtained with the weldment fabricated using Scroll threaded flute probe at 1400 rpm and 25 mm/min i.e 15 mm distance away from the weld centreline on the advancing side of the weldment , besides lower hardness value of 49.8VHN1kg was obtained with weldment fabricated using concave triangular threaded probe at 1200 rpm and 25 mm/min at nugget zone i.e at the centerline of the weldment. 03 30 2020 3514 3518 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8521.038620 https://www.ijrte.org/portfolio-item/F8521038620/ Department of Computer Science and Engineering, Guru Nanak Dev Enginerring College (G.N.E), Ludhiana, Punjab Rohan Sharma* Pankaj Bhambri Department of Information technology, Guru Nanak Dev Engineering College(G.N.E), Ludhiana, Punjab Amandeep Kaur Sohal Department of Computer Science and Engineering, Guru Nanak Dev Enginerring College (G.N.E), Ludhiana, Punjab. Mobile Ad-Hoc Network (MANET) is a collection of wireless mobile hosts forming a temporary network without the aid of any stand-alone infrastructure or centralized administration. Due to the mobility of the nodes in the network, these nodes are self-organizing and self-configuring. Not only they act as hosts, but also, they function as routers. In MANETs, routing protocols are necessary to find specific paths between the source and the destination. The primary goal of any ad-hoc network routing protocol is to meet the challenges of the dynamically changing topology. Therefore, an efficient route between any two nodes with minimum routing overhead and bandwidth consumption should be established. The design of these routing protocols is challenging due to the mobility and the dynamic nature of the mobile ad-hoc networks. MANET routing protocols are categorized into two types: proactive and reactive. In this paper, the MANET characteristics and challenges are highlighted. Moreover, a comparison is conducted between three protocols: namely, DSDV, DSR and AODV in terms of both properties and performance. 03 30 2020 5580 5585 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8522.038620 https://www.ijrte.org/portfolio-item/F8522038620/ Department of Computer Applications, National Institute of Technology, Trichy, India. T. Ravichandran B. Janet Department of Computer Applications, National Institute of Technology, Trichy, India. A. V. Reddy Department of Computer Applications, National Institute of Technology, Trichy, India. In this article, we propose a new clustering algorithm namely an efficient social spider optimization for data clustering using data vector representation (ESSODCDI). It uses a data vector representation for each spider so that its memory requirements can be reduced. Unlike other nature-inspired algorithms, it requires lesser memory requirements. We find that its clustering results are by far better than those of other nature-inspired algorithms. 03 30 2020 2553 2557 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8523.038620 https://www.ijrte.org/portfolio-item/F8523038620/ Department of Computer Science, Bharathiar University, Coimbatore, India. Suganya. G* Porkodi R Department of Computer Science, Bharathiar University, Coimbatore, India. Text is an extremely rich resources of information. Each and every second, minutes, peoples are sending or receiving hundreds of millions of data. There are various tasks involved in NLP are machine learning, information extraction, information retrieval, automatic text summarization, question-answered system, parsing, sentiment analysis, natural language understanding and natural language generation. The information extraction is an important task which is used to find the structured information from unstructured or semi-structured text. The paper presents a methodology for extracting the relations of biomedical entities using spacy. The framework consists of following phases such as data creation, load and converting the data into spacy object, preprocessing, define the pattern and extract the relations. The dataset is downloaded from NCBI database which contains only the sentences. The created model evaluated with performance measures like precision, recall and f-measure. The model achieved 87% of accuracy in retrieving of entities relation. 03 30 2020 3281 3287 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8524.038620 https://www.ijrte.org/portfolio-item/F8524038620/ Faculty of Ocean Engineering Technology and Informatics, Universiti Malaysia Terengganu, 21030, Kuala Nerus, Malaysia. Mohammad Fadhli Ahmad* Mohd Sofiyan Sulaiman Faculty of Ocean Engineering Technology and Informatics, Universiti Malaysia Terengganu, 21030, Kuala Nerus, Malaysia. Che Wan Mohd Noor Che Wan Othman Faculty of Ocean Engineering Technology and Informatics, Universiti Malaysia Terengganu, 21030, Kuala Nerus, Malaysia. Khalid Samo Faculty of Ocean Engineering Technology and Informatics, Universiti Malaysia Nerus, 21030, Kuala Nerus, Malaysia. Mohammad Fakhratul Ridwan Zulkifli Faculty of Ocean Engineering Technology and Informatics, Universiti Malaysia Terengganu, 21030, Kuala Nerus, Malaysia. Coastal area is the most populated throughout the world due to its business activities especially those involves commercial or recreational vessels to bring people or goods. Inadvertently, heavily vessels traffic will create effect on shoreline, riverbank or estuaries in which resulting an erosion problem. Overcoming the problem, a few local state authorities are enforcing a regulation for the vessels to cruise along the coastline to minimize the erosion impact. This research was conducted to study the relationship of dynamic shear stress generated from wake boat and tidal flow induced energy at Kemaman river estuary, which located at Kemaman province, East Coast of Peninsular Malaysia. Evidence shows that erosion occurred along the riverbank, and it was confirmed that the vessels contribute to the erosion problem due to negligence of vessels’ speed. In addition, apart from the generated energy coming from the vessel, the dimension of the vessels also contributes to the erosion problem. The estimation of total energy created by each vessel is established by a formula through the relationship with wave energy under influenced of maximum wave height. The results indicate that increases in energy will increase the dynamic shear stress due to orbital wave velocity whereby it is a function of wave height generated by boat wave. Finally, the results also indicate addition minimum tidal flow rate and wake boat contributes higher dynamic shear stress as compared to mud bed shear stress. Therefore, it can be concluded that wake boat waves play a significant role in determining the riverbank erosion. The finding of this study serves some information as guidance to local state authority to impose regulation to community whom using the vessels to navigate through this estuary. 03 30 2020 2558 2564 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8527.038620 https://www.ijrte.org/portfolio-item/F8527038620/ Assistant Professor, Mechanical Engineering Department, Sri Venkateshwara College of Engineering, Bengaluru, Affiliated to Visvesvaraya Technological University, Belagavi, Karnataka, India Sunil S* Dr. Shrishail Kakkeri Professor & Head, Mechanical Engineering Department, Sri Venkateshwara College of Engineering, Bengaluru, Affiliated to Visvesvaraya Technological University, Belagavi, Karnataka, India In the current study the process parameters for used cooking oil biodiesel production are optimized by using Design of Experiments (Taguchi technique) and validation experiments are carried out at the optimized parameters to cross verify the results obtained. A specially designed equipment which can maintain the exact conditions required for optimization is used. This equipment is microcontroller operated and does not require any human intervention to maintain the accurate temperature, time and other parameters. By Taguchi strategy best yield acquired is by Molar ratio of A2 (1:9), Catalyst concentration of B3 (1.00%), Reaction temperature of C2 (60ºC), Reaction time of D3 (120 min). The approval trial was completed for the results and the yield is observed to be 93.25%, which resulted in improvement of up to 15% yield as compared to that of crude method. The properties of acquired biodiesel are found out and it very well may be inferred that the properties of got biodiesel are within ASTM norms. 03 30 2020 3934 3939 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8529.038620 https://www.ijrte.org/portfolio-item/F8529038620/ Associate Professor, Department of CSE, Vel Tech Rangarajan Dr Sagunthala R&D Institute of Science and Technology, Chennai, India. K. Rajathi* R. Asmetha Jeyarani Assistant Professor, Department of CSE, Vel Tech Rangarajan Dr Sagunthala R&D Institute of Science and Technology, Chennai, India. K. Blessing Christiana Assistant Professor, Department Deparment of IT, New Prince Shri Bhavani College of Engineering & Technology, Chennai, India. Ms VIjaya Vahini Department of CSE, Vel Tech Rangarajan Dr Sagunthala R&D Institute of Science and Technology, Chennai, India. Cardiovascular disease (CVD) is the most common serious of long term type2 diabetic’s mellitus. It is estimated that most of the T2DM patients causes death due to CVD. Around 90% of CVD can be prevented with proper prediction of diabetes. Type 2 diabetes mellitus begins with insulin resistance, a condition in which it fails to respond to insulin properly. This paper explores Hybrid Wavelet Neural Network to train the system to learn the pattern to predict the disease and Self Organized map method is used for information clustering and visualization of excessive dimensional records to predict the disease with less parameter high accuracy which can help to prevent the disease. Modified Teaching Learning Based Optimization algorithm achieves the optimized learning from the pertained network. Teaching and learning based optimized technique yield better accuracy with a dataset of 770 patients. The measure of accuracy is compared with other algorithms and it is analyzed for further ratification. 03 30 2020 3288 3292 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8532.038620 https://www.ijrte.org/portfolio-item/F8532038620/ Department “Technology of textile fabrics”, Tashkent Institute of Textile and Light Industry, Tashkent, Uzbekistan. N.R. Khankhadjaeva* A.G. Nabiev Department “Technology of textile products”, Technological University of Tajikistan, Dushanbe, Tadjikistan. F.M. Riskalieva Department “Technology of textile fabrics”, Tashkent Institute of Textile and Light Industry, Tashkent, Uzbekistan. Today, the production of knitwear is developing at a faster pace. In industry, trade and the service sector, the production of knitwear, combining high technology and low cost, with good consumer properties is urgently required. Consumers today are looking for comfort, fashion and style, which results in ever-changing demands on the apparel market. As the consumer’s requirements to quality and appearance of product are daily increasing, the attention to the question of replacement of a smooth cloth on wide assortment with pattern effect is sharply brought. This work deals with the analysis of technological parameters and physical-mechanical properties of the knit fabric with pattern effect. With the aim of to expand the assortments of knitwear and to use the technological capabilities of double-bed flat knitting machines in fullest extent possible, on the base of rib structure, by using of loop transference 2 new variants of combined structure were developed and recommended. Samples differ from each other by the rapport and pattern effect of the knit structure. Technological parameters, such as loop length, stitch density, surface and volume density, physical-mechanical properties, such as breaking strength and elongation of newly developed combined knit structures were also determined by experimental method. Loop length and stitch density are important variables, that by changing them, the surface and volume density can be changed, that can manage the raw material consumption and determine the quality of knit fabrics. Breaking strength and elongation are important and decisive parameters for end uses since low strength properties shorten the useful life time as well disable the functionality of these products. Patterns of influence of structural elements, such as transferred loops on the surface density and volume density of knitwear was established. It is found that offered structures have some advantages to compare to basic structure. On the aim of resource economy technology, they give a possibility of raw material expenditure decreasing 22-47%. 03 30 2020 2565 2570 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8534.038620 https://www.ijrte.org/portfolio-item/F8534038620/ Professor, Department of ECE, Chaitanya Bharathi Institute of Technology (A) ,Hyderabad, India. Dr. Panyam Narahari Sastry* G. Akhil UG, Department of ECE, Chaitanya Bharathi Institute of Technology (A) ,Hyderabad, India. Vaishnavi Suthram UG, Department of ECE, Chaitanya Bharathi Institute of Technology (A), Hyderabad, India. In this work, offline handwritten character recognition (HWCR) is involved, which is an open area of research for Indian languages. The recognition accuracy for HWCR is around 60% as per the literature survey. The main obstacle for the research in this area is the non-availability of a standard database. Character Recognition (CR) is an application of pattern recognition. Pattern recognition has many applications like security services, defense organizations, banking, post offices, archeological field, weather forecasting, library automation, reading aids for the visually challenged, etc. There are very less number of users for Indian languages when compared to English and hence the research for HWCR is at early stage. In this work, transform based recognition techniques are used on two languages namely Hindi and English. The best recognition accuracy obtained for the bilingual handwritten scripts is 73.33% which is in line with the existing research publications. 03 30 2020 2571 2578 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8538.038620 https://www.ijrte.org/portfolio-item/F8538038620/ Assistant professor, Department of Electronics and communication Engineering, Government college of Engineering, Sengipatti, Thanjavur-613402, TamilNadu, India. Mr. M. Selvakumar* Mr. B. Sudhakar Assistant professor, Department of Electronics and communication Engineering, Faculty of Engineering and Technology, Annamalai University, AnnamalaiNagar-608002, TamilNadu, India. Filtered-Orthogonal Division Multiplexing (F-OFDM) is one of the capable alternative candidate modulation methods for 5G communication systems. F-OFDM utilizes the allocated spectrum by having lower side-lobes, which leads to higher spectral efficiency. However, it experiences an elevated peak-to-average power ratio (PAPR). This influences the radio frequency components’ operation mode, such as the power amplifier and the digital-to-analog converter. Also, high PAPR builds the amplifiers to exertion in non-linear regions and enhance the Bit Error Rate (BER). Moreover, Large PAPR guides to spectral spreading and band distortion. Selective Mapping (SLM) provides enhanced PAPR reduction without the data rate loss and also exclusive of the signal distortion. Though, SLM has elevated computational complexity additionally. Numerous procedures have been suggested in the research for OFDM. In this thesis, a modified-SLM using Discrete Sine Transform (DST) is recommended to lessen the PAPR of filtered-OFDM. The idea of a Discrete Sine Transform is de-correlating the data in a sequence by compressed a large amount of signal energy into a few transform coefficients; consequently it provides an improved diminution in PAPR. Furthermore, the BER performance of the system has been enhanced by applying an optimization algorithm called Particle Swarm Optimization (PSO). This proposed model results illustrate that the proposed Modified Selective mapping using Discrete Sine Transform (MSLM-DST) technique can provide a PAPR reduction of about 4.4 dB. Moreover, the PSO improved the system performance as it significantly reduces the BER of the system. 03 30 2020 4339 4344 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8541.038620 https://www.ijrte.org/portfolio-item/F8541038620/ HOD, Department of BCA, Ambedkar Institute of Technology, Shakarpur, Delhi, India. Dr. Dipankar Mishra* Indian Railways has the largest rail network in the world and is also responsible for transferring millions and millions of passengers on a daily basis. But it has obtained the reputation of being accident prone. Consequently the safety record of Indian Railways is very low. Many factors affect the safety of the trains in Indian Railways. Major environmental conditions, geographical conditions and the conditions of the driver's driving the trains are all factors which contribute towards accidents. Along with these conditions the track conditions and the asset conditions also contribute towards accidents. This paper presents a simple technique to reduce accidents in Indian Railways as well as monitor the train on a real time basis with very low cost application 03 30 2020 2579 2583 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8545.038620 https://www.ijrte.org/portfolio-item/F8545038620/ TIFAC-CORE, Cyber Security, Amrita School of Engineering, Amrita Vishwa Vidyapeetham University, Coimbatore, India. Vishnu V.* Praveen K. TIFAC-CORE, Cyber Security, Amrita School of Engineering, Amrita Vishwa Vidyapeetham University, Coimbatore, India. 802.1x is a part of the IEEE 802.1 group of Networking Protocols. It is mainly used to implement Port-based Network Access Control (PNAC) by providing an authenticating mechanism to connect to LAN or WAN. Existing attacks on the 802.1x are mainly focused on the older version of the protocol which does not provide encryption or enable authentication on a packet-by-packet basis. Later versions of the protocol includes MACsec to provide a two layer encryption to maintain the data integrity of the network packets. It also included support for devices like printers and VOiP phones which led to an easy attack vector. An attacker could easily spoof the MAC address to get into the corporate network. In this paper we go through the 802.1x protocol, the authentication mechanism of the protocol, the existing attacks on the protocol and a new attack to bypass Network Access Control enforced by the 802.1x. The proposed attack is an improvement on the NACKered script which was built upon the Alva Lease's Duckwall IV. We have added a couple of modules to run the responder script as well as an awareness script to keep it persistent. We end the paper by listing out the best practices that must be followed when setting up a corporate network with Network Access Control with 802.1x. 03 30 2020 3293 3297 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8548.038620 https://www.ijrte.org/portfolio-item/F8548038620/ Research Scholoar, K L Business School, K L (deemed to be) University, KLEF, Vaddeswaram, Guntur Dt.,, A.P., India. J. Sai Sudha* Dr. P. Venkata Durga Rao Assistant Professor, K L Business School, K L (deemed to be) University, KLEF, Vaddeswaram, Guntur Dt.,, A.P., India. The present study is focused on the technology impact on the banking sector growth in 4G period. The usage of technology by the banking customers increased enormously in 4G compared to other telecom generations i.e., 2G and 3G. The study has considered the high technology spending private banks and B2C segment digital transactions (i.e., Neft, Rtgs, ATM, Mobile, Debit card and Credit Card transactions) growth on the business of the banking sector examined with the panel data in E-Views software. The study has considered the time series data of the selected five private sector banks digital transactions and constructed the Banking Technology Index in 4G period. The study result reveals with the ordinary least square that the mobile transactions and RTGS are having the positive impact on the performance of the Banking technology index. The BTI impact has been examined on the business per employee of the selected private sector banks and the result stated that the BPE got reduced significantly in 4G period. This paper is useful to the bankers, regulators and various stakeholders of the bankers. 03 30 2020 2584 2588 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8550.038620 https://www.ijrte.org/portfolio-item/F8550038620/ Assistant ProfessorDon Bosco College, Golaghat, Assam.Present Address: Don Bosco College,Dhodhar Ali Road, Golaghat, Assam india. Sanjay Rizal* India is a nation loaded with youth, presently relies upon the youth in all the crucial areas and its development. Youth is known for its vitality, intensity, boldness, the ability to go out on a limb in all circles of life, and if we want to change the present environment scenario to make the future much better place to live then the use of FMCG product is very essential as they fulfill our needs as well as the need of the environment. Many researchers have shown the purchase of the FMCG product as a planned purchase, but contrary to those, this paper will attempt to find out the impact of an impulse purchase on FMCG products. The paper will also try to showcase the presence of impulse purchases in the FMCG product category through a Model by using AMOS 23. The researcher will collect data from 150 respondents from Golaghat and Jorhat district through a structured questionnaire that will further be broken down and analyzed through SPSS 20. This paper will assist the readers in understanding presence of impulse purchase towards FMCG products and also shows the mentality of the people of the Golaghat and Jorhat district of Assam, India, concerning FMCG impulse Purchase and will give a glimpse of their demeanor towards FMCG products. 03 30 2020 3087 3091 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8552.038620 https://www.ijrte.org/portfolio-item/F8552038620/ Research Scholar, Department of E&C, SJBIT, Bangalore, Affiliated to VTU, Belagavi, India. Deepak H. A*. Dr. T. Vijayakumar Professor, Department of E&C, SJBIT, Bangalore, Affiliated to VTU, Belagavi, India. The noise reduction in the ECG has been focused for research in recent years, since desired reduction allows a better signal pre-processing, and allows to extract from it the maximum amount of efficient and meaningful information. This paper proposes an adaptive threshold technique using Empirical Mode Decomposition (EMD) and Dual-Tree Complex Wavelet Transform (DTCWT) for ECG signal denoising. Initially the data driven EMD technique is applied to get the IMFS and these IMFS further passed though DTCWT for filtration. To accomplish the better adaptive filtering process the optimal threshold is further calculated based on Grey Wolf Optimization (GWO). The performance evaluation is achieved on MIT-BIH database. 03 30 2020 2589 2596 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8556.038620 https://www.ijrte.org/portfolio-item/F8556038620/ PhD Scholar Alabbar School of Management, Raffles University, Neemrana (Raj.), India. Nitin Kulshrestha* Dr. Vinay Kumar Srivastava Founder Honorary Secretary of Indian Society for Management Development and Research (ISMDR) and Managing Editor of Arash. Purpose: The zeal and reason to write this research paper are to evaluate the performance & risk measurement of Bank Nifty based on Machine learning, Technical Analysis & Monte Carlo Simulation. Design /Methodologies/Approach: To achieve our desired results for this study, we use moving average (auto-optimization method) as a technical analysis return optimization tool & Monte Carlo Simulation as a risk analysis tool, & at the end harmonize both of the results, & compare with buy hold strategy. We use Bank Nifty end of day historical closing data of past five years i.e.1 Jan 2015 – 31 Dec 2019, For this study using Amibroker software. Originality & Value: This research paper is beneficial for anyone who wants understand Bank Nifty on the ground of technical analysis & risk measurement technique (MCs), & also to synergies the strength of two studies. Research Limitations: In appropriate input can lead to creating wrong simulation result, there are no. of unknown factors that simulation cannot truly understand or account during the process. Practical implication: Understanding stock market results is essential to make further decisions related to risk & reward ratio. The results imply that Moving average give outstanding returns on Bank Nifty in medium to long run, & Monte Carlo Simulation having functional judgemental abilities on probabilities basis towards risk & returns. Furthermore, by apply both the technique for risk analysis, simultaneously give outstanding risk & return optimization of Bank Nifty. 03 30 2020 3298 3302 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8557.038620 https://www.ijrte.org/portfolio-item/F8557038620/ Department of ECE, National Engineering College, Kovilpatti, Thoothukudi, Tamilnadu, India. S. Dhanalakshmi* G. K. Anu keerthana Department of ECE, National Engineering College, Kovilpatti, Thoothukudi, Tamilnadu, India. G. Sivasakthimeena Department of ECE, National Engineering College, Kovilpatti, Thoothukudi, Tamilnadu, India. A. Saravanaselven Department of ECE, National Engineering College ,Kovilpatti, Thoothukudi, Tamilnadu, India. A fundamental challenge for rapidly growing cities of nowadays is to offer public transport services to fulfill the increasing demands for mobility. In our country, a widely adaptable and convenient mode of public transport is by bus. The buses in the running and bus arrival time are considered as the essential data for almost every open transport travelers. Excessively longer waiting periods at bus stations frequently deter travelers and the non-availability of information about the buses running makes them reluctant to take buses. So to make passengers more informative, we present a system for the manifestation of the on-road buses and its’ arrival time based upon the bus passengers’ participatory detecting. The bus passengers’ encompassing environmental framework is successfully gathered with the help of commodity mobile phones and employed to present the bus traveling pathways and to reckon the estimated time of arrival of the bus at several bus stations through the mobile application. The suggested framework entirely depends upon the cooperative attempt of the partaking users and the driver in the designated route, therefore it can be facilely adopted to fortify bus accommodation framework excluding the demanding assistance through the specific bus operating organizations. We develop an archetype system with variants of Android-predicated mobile phones. The suggested framework is usually more accessible and energy cordial. 03 30 2020 3791 3794 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8564.038620 https://www.ijrte.org/portfolio-item/F8564038620/ Assistant Professor, Department of Computer Science, University College of Science, Tumkur University, Tumakuru, India. Dr. Kusuma Kumari B.M* Dr. Ramakanth Kumar P Professor, Department of Computer Science and Enginerring, R.V. College of Engineering, Bengaluru, India. Drowsiness appears in situations when one feels stressed and fatigue. It is unexpected and unfortunate, that the drowsiness may be due to insufficient sleep over night, some types of medicines used, and even, boring for drive, for example, driving continuously over a period of time. Feeling sleepy while driving may decrease the level of alertness / focus resulting in possibility of road crash or accidents. In this paper we will discussed about characteristics of driver, causes and symptoms of driver drowsiness and effects of fatigue driver. 03 30 2020 4461 4465 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8575.038620 https://www.ijrte.org/portfolio-item/F8575038620/ Research Scholar, GITAM Deemed to be University, Visakhapatnam, Andhra Pradesh, India. Ms. Shilpa Sarvani Ravi* Prof. M. V. Ram Prasad Professor, GITAM deemed to be University, Visakhapatnam, Andhra Pradesh, India. The retail sector in India is emerging as one of the largest sectors in the economy. The organized retail market in India is growing at a CAGR of 20-25 per cent per year. India was ranked second in the Global Retail Development Index 2019 after China, backed by rising middle class and rapidly growing consumer spending. As the country’s population is witnessing a steep hike, the demand for various Fruits and Vegetables (F&V) products is also increasing at the same pace providing sustainable income and employment in this segment. Unfortunately this segment in the organized retail industry is facing challenges hindering the growth due to high wastage issues and demand uncertainty. This is a novel study focused on clearing the roadblocks in F&V segment for retail entities. This is a qualitative study which included data collection through structured interviews with the Operation Managers of retail stores and Warehouse Managers of Organized Retailers in Bengaluru city. Critical challenges like Low shelf life, Uncertainty in Quality, Price Fluctuations, Seasonality, Fill-Rate issues and respective innovative strategies to overcome such challenges were rightly identified. The study developed a conceptual framework aligning the critical challenges and innovations in F&V handling to attain the sustainable growth. This research also identified the emerging trends in F&V retailing. This information can be considered as treasure to the retailers and entrepreneurs to defeat the F&V challenges and enjoy the perks of sustainability in the market. 03 30 2020 2597 2603 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8579.038620 https://www.ijrte.org/portfolio-item/F8579038620/ Department of Computer Science & Engineering,Sri Krishna College of Technology, Coimbatore, India. Supraja S*. Vasuki N. Department of Computer Science & Engineering,Sri Krishna College of Technology, Coimbatore, India. Vishwa Dhakshana N. J. Department of Computer Science & Engineering,Sri Krishna College of Technology, Coimbatore, India. Kiruthiga N. Department of Computer Science & Engineering, Sri Krishna College of Technology,Coimbatore, India. ML, the logical investigation of calculations and measurable models that PC frameworks use to acceptably play out a specific endeavor without using unequivocal headings, subordinate upon models and deciphering. A huge bit of down to earth AI utilizes controlled learning.PC based understanding has been used in various fields of drug. Decision help instruments with presenting to AI models can be passed on for chest undermining headway figure. Such models can add to early finding and treatment and right currently results. With intensive electronic clinical records and moved AI impels, a chest compromising improvement want model can be utilized as a choice assistance mechanical get together for care intervention.Breast infection is the fifth driving clarification behind perilous advancement mortality around the world. Early affirmation of repeat chance is principal in improving desire. Chest hurtful advancement happens in chest cells, the slick tissue or the stringy connective tissue inside the chest. Chest sickness is hazardous tumors will all around become reasonably logically awful and become lively instigating end. Factors, for example, age and a family legacy of chest danger can create the risk of chest illness. Two sorts of tumors: Benign: this tumor type isn't hazardous for a human body and from time to time causes human destruction. Undermining: this tumor type is powerfully perilous and causes human passing, it is called chest unsafe advancement. The reason for this assessment is making and studying models dependent on different parameters for chest threat guess. 03 30 2020 3436 3440 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8580.038620 https://www.ijrte.org/portfolio-item/F8580038620/ SBAS, Galgotia university, greater Noida, U. P., India, Anupama* Chandan Kumar Department of Mechanical Engg., Noida Institute of Engineering and Technology, Gr. Noida, UP, India Jitendra kumar* Department of Mechanical Engg., Noida Institute of Engineering and Technology, Gr. Noida, U.P., India. R. K. ranjan Mech. Engg, Govt. polytechnic, Lahisarai, Bihar, India Conducting field work in cold temperature was a difficult task. The most important safety consideration for field work was to maintain normal body temperature and the proper flexibility of the hand. Heat production and insulation was done through multiple thin layers needed for different temperature and activity level. This work had been focused on the design and fabrication of gloves with minimum thickness and minimum heat loss. The multilayered construction is 44% thinner and 17.5% lighter than the existing materials. 03 30 2020 3303 3305 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8581.038620 https://www.ijrte.org/portfolio-item/F8581038620/ Research Scholar, Department of Computer Science and Engineering, Centurion University of Technology and Management, Paralakhemundi, Orissa. Pavan Kumar Vadrevu* Sri Krishna Adusumalli Associate Professor, Department of Information Technology, Shri Vishnu Engineering College for Women, Bhimavaram , Andhra Pradesh Vamsi Krishna Mangalapalli Professor, Department of CSE, Chaitanya Institute of Science and Technology, Kakinada Internet of Things network today naturally is one of the huge quantities of devices from sensors linked through the communication framework to give value added service to the society and mankind. That allows equipment to be connected at anytime with anything rather using network and service. By 2020 there will be 50 to 100 billion devices connected to Internet and will generate heavy data that is to be analyzed for knowledge mining is a forecast. The data collected from individual devices of IoT is not going to give sufficient information to perform any type of analysis like disaster management, sentiment analysis, and smart cities and on surveillance. Privacy and Security related research increasing from last few years. IoT generated data is very huge, and the existing mechanisms like k- anonymity, l-diversity and differential privacy were not able to address these personal privacy issues because the Internet of Things Era is more vulnerable than the Internet Era [10][20]. To solve the personal privacy related problems researchers and IT professionals have to pay more attention to derive policies and to address the key issues of personal privacy preservation, so the utility and trade off will be increased to the Internet of Things applications. Personal Privacy Preserving Data Publication (PPPDP) is the area where the problems are identified and fixed in this IoT Era to ensure better personal privacy. 03 30 2020 3892 3895 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8584.038620 https://www.ijrte.org/portfolio-item/F8584038620/ Research Scholar, Dept. of Env.Sci & Mgmt, Bharathidasan University, Tiruchirappalli, Tamil Nadu, India. R. Kannan* M. Prashanthi Devi Dept. of Env.Sci & Mgmt, Bharathidasan University, Tiruchirappalli, Tamil Nadu, India. G. Karpaka Kannan Dept. of Computer Science, Sethu Institute of Technology, Kariapatti, Tamil Nadu, India. The present study is to carry out the enhancement of the acoustic signals of Lutjanidae species often found in abundance, in tropic shallow waters. Since most of the studies on Lutjanidae is about its physical structure both internal and external, and its population in sea ie., catches in tons per year. This research work is the first attempt on the acoustical study of Lutjanidae family species call signal. Five species of Lutjanidae family are considered for this study which includes L. analis, L. apodus, L. synagris, L. griseus, and L. jocu). The earlier literature which studied the acoustic toning of marine species vocalization using empirical mode decomposition method [1]. Here in this research, (i) signals with background noise and (ii) enhanced signals are considered for comparison. The enhancement of acoustic signals of Lutjanidae family species is useful as acoustic reference for those working in the field of biological signal processing. The enhancement of the signal is achieved by the logical applications and applying Short Time Fourier Transform (STFT), inverse STFT. From the above two cases considered, the frequency range of 50 to 2500 Hz approximately is clearly noticed in the spectrogram, power spectral density and it shows the frequency of all species looks similar. By listening the sound produced by the species, it is observed to be of type knocking sound. 03 30 2020 3109 3112 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8589.038620 https://www.ijrte.org/portfolio-item/F8589038620/ Manav Rachna International Institute of Research & Studies, Faridabad, India. Pratima Manhas Shaveta Thakral Manav Rachna International Institute of Research & Studies, Faridabad, India. Jyoti Verma Manav Rachna International Institute of Research & Studies, Faridabad, India. IoT is defined as smart machines collaborating and communicating with different gadgets, objects, environments and framework, resulting in amount of data generated and that processed the data into useful actions which can be used to command and control things and ultimately help human beings to make life easier. IoT platforms play a central role within this evolution by providing significant building blocks. Major building blocks used in IoT is sensor. Sensors play an important role in IoT that allows the Internet of Things (IoT) by collecting the data for wiser decisions. This paper reviews various types of IoT sensors along with its application. 03 30 2020 3306 3310 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8594.038620 https://www.ijrte.org/portfolio-item/F8594038620/ Assistant professor of Information technology in SRM IST, Ramapuram Campus, Chennai, Tamil Nadu, India. J. Antony Vijay* Trishansh Srivastava Department of Information Technology, SRM IST, Chennai, Tamil Nadu, India . Manpreet Singh Department of Information Technology, SRM IST, Chennai, Tamil Nadu, India. Aman Kumar Soni Department of Information Technology,SRM IST, Chennai, Tamil Nadu, India. Cloud computing is an effective technique used by developers and other users to implement different use styles. We will take up an issue in this paper which is very popular in the present era. “Storage-as-a-Service” is a category in cloud computing that uses cloud to store data with internet assistance. These online services use other categories of cloud computing namely “Infrastructure-as-a-Service, Platform-as-a-Service, and Software-as-a-Service”.“Storage-as-a-Service (Staas)” is made available for the public use at certain prices. There are many service providers that are charging unreasonable amounts of money. So, we have come up with a better algorithm to overcome this problem. Our algorithm resolves the issue of transferring the data objects from one tier to another by excluding the prior information of the accesses. This algorithm allows us to find the breakthroughs for making transfer decisions.The proposed system makes sure that the Service Level Agreement (SLA) and reliability of reservations does remodel diverse resources and provide a tool that reduces victimization through Two-Tier StaaS. 03 30 2020 2604 2607 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8596.038620 https://www.ijrte.org/portfolio-item/F8596038620/ Associate Professor, Department of MBA, GSSSIETW, Mysore, India. Dr. Aparna J Varma* Dr. Ashwini J Freelance Consultant, Department of Human Recourse Management and Sociology, University of Mysore, India. Dr. Ranjith P V Associate Professor, Department of MBA, CMS Business School, Jain deemed to be university, Bangalore Dr. Jayan V K Associate Professor, Department of MBA, GSSSIETW, Mysore, India. Nowadays Banks are quite important in the overall development of a country. The banking sector in India has gone through a tremendous technological change during 1990s. Banks have begun to use technology as a medium to serve its customers in a better and fast way. Electronic banking is very important development which has happened recently. E banking provide an opportunity for its customers to carry out any kind of banking activities with the access of internet. The recent trends show that the banks are shifting their focus from product centric model to customer centric model by means of developing new e-banking services. This holds good for small financial banks (SFBs) as well. However the SFBs are on its nascent stage, but it is on a technology adoption spree to efficiently manage their overall cost of operation. The main objective of this paper is to find out various components that have influence on the consumers who adopt electronic banking services purpose of this paper is to identify the various factors that affect the customers to adopt e-banking services with special reference to small finance banks in Karnataka. 03 30 2020 3519 3524 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8597.038620 https://www.ijrte.org/portfolio-item/F8597038620/ Assistant Professor, Thiru A. Govindasamy Govt Arts College, Tindivanam, Tamilnadu, India. S. Prasanna Priya* Dr. M. Karthikeyan Assistant Professor, Department of Computer and Information Science, Faculty of Science, Annamalai University, Annamalainagar, Tamilnadu, India. Recommender Systems (RS) have developed into an important application in several user domains. RS may aid users to discover appropriate items in vast data. The selection of journal publication is generally based on the research domain or topics of document. The traditional method for journal recommendation is carried out by analyzing the document and matching its topics with relavent journal utilizing content-based examination. Though, this approach might create errors because of disparities in manuscript comparisons. In this paper, a novel Jaccard based Journal Finder Neural Network is proposed with pearson correlation coefficient (JJFNN-PC) for journal recommendation. The proposed recommender system allows the researchers to automatically find appropriate publication with journal title and abstract. Similarity coefficient is computed among the journal database and journal title and abstract of user distinctly through Jaccard similarity. The obtained outcome is used for training the novel JFNN that automatically find appropriate publication for user research article. The pearson correlation coefficient is established to validate the correlation between title and abstract of the recommended journal. The experimental result of automatic journal selection process provides the exact journal list and obtained better performance with accuracy of 98.41%. 03 30 2020 2608 2612 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8598.038620 https://www.ijrte.org/portfolio-item/F8598038620/ Assistant Professor, Department of Computer Science & Engineering, Mahatma Gandhi Institute of Technology, affiliated to JNTU-H. Hyderabad, India. G. Naga Sujini* D. Gyana Deepika Department of Computer Science Engineering from Mahatma Gandhi Institute of Technology affiliated to JNTU-H., Hyderabad, India. In today’s world where there is a plethora of movies to choose from in any medium, recommendation systems play a crucial role in reducing the search time for the movie watchers by recommending them the most relevant movies that they would most probably like. There are a wide range of approaches and techniques which are used for recommending movies. While some techniques reflect the current trend and popularity of movies, others are able to capture and analyze the past behavior of the viewer and make recommendations accordingly. Recommendation systems are an integral part of companies such as Netflix, Amazon Prime, Hulu and various others to ensure that their customers have a pleasant experience which in turn would boost the company’s profits. This study discusses and analyses the various approaches and techniques used for the recommendation of movies. 03 30 2020 3311 3315 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8602.038620 https://www.ijrte.org/portfolio-item/F8602038620/ Department of Computer Science Department, Christ Deemed to Be University, Bangalore, India. Dr. Manjunatha Hiremath* Anoop Benny Department of Computer Science Department, Christ Deemed to Be University, Bangalore, India. The medical image processing or the medical imaging helps in identifying the different types of diseases that are infected to human body. We know that virus is an infective agent that cannot be seen by the human eyes and this can be viewed with help of a microscope. Rotavirus is type of virus that affect human infants that causes diarrhea, which leads to death in severe condition. Identifying the virus particles in the microscope image is a tedious task. Giving prescription based on the medical diagnosis is dependent how accurately it is done. In this paper, the study of identification, segmentation and feature extraction of the Rotavirus-A in the electron microscopic images is considered. The proposed research method hybridizes four segmentation methods which identifies and classify the rotavirus-A particles in the microscopic image based on their features. The classification is carried out using Decision tree classifier and the accuracy rate is measured. The proposed method yields 96% average accuracy result and this can be improved by considering more dataset and training on it. 03 30 2020 3316 3323 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8604.038620 https://www.ijrte.org/portfolio-item/F8604038620/ Department of ECE, SRKR, Bhimavaram, India. Kolli Venkatrao* Seera Hari Priya Department of ECE, SRKR, Bhimavaram, India. Rayi Raghavendra Department of ECE, SRKR, Bhimavaram, India. M. N. Sai Kiran Department of ECE, SRKR, Bhimavaram, India. Diddey Sumanth Department of ECE, SRKR, Bhimavaram, India. Forthcoming 5G wireless communication network will be combined version of all the wireless and wired networks including K-Band and Ka-Band. Presently in 4G wireless network, numbers of researchers have found different antennas which can combine maximum of four frequencies. This proposed antenna will work for at seven combined wireless 5G applications. The Proposed Multi Band Minswoki Fractal Antenna for 5G work for several services such as k-Band and Ka-Band(18Ghz-26.5Ghz and 26.5Ghz-40Ghz) application. The proposed prototype is extremely reduced in size having the dimensions 18×25 mm and is enhanced to be worked in the band from 20 to 50GHz.The antenna consists of a Fractal Shaped rectangular patch with micro strip line feed etched on FR4-Epoxy substrate with height 1.6 mm. The antenna has designed and optimized on High Frequency Structure Simulator (HFSS). 03 30 2020 3525 3530 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8605.038620 https://www.ijrte.org/portfolio-item/F8605038620/ Department of Computer Science And Engineering at SRM IST Ramaparam, Chennai, India R. Sathya* Prateek Kulkarni Department of Computer Science And Engineering at SRM IST Ramaparam, Chennai, India. Momin Nawaf Khalil Department of Computer Science And Engineering at SRM IST Ramaparam, Chennai, India. Shishir Chandra Nigam Department of Computer Science And Engineering at SRM IST Ramaparam, Chennai, India. The goal of this project is to develop a new technique to predict stock worth’s through the usage of Reinforcement Learning & Sentiment analysis from social media. During this paper we are going to analyze economical technique which may predict stock movement accurately using both Historical & Real-time Data. The Q Learning based approach will be used to predict these Stocks over a Partially Observable Markov Decision Process comprising of any number of Stocks taken as a State & providing 3 actions which are Hold, Sell or Buy. Additionally, Social media offers a robust outlet for people’s thoughts and feelings it's a fast-ever-growing supply of texts starting from everyday observations to concerned discussions. Using social media comments & tweets analysis regarding a Stock, an efficient data can be obtained which can help in determining the overall public review of the Stock. Using these two distinctive approaches together, an efficient technique can be developed to predict Stocks Prices with more accuracy. 03 30 2020 3324 3327 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8606.038620 https://www.ijrte.org/portfolio-item/F8606038620/ Computer Science Department, Shree Brahmanand Institute Of Computer Science, Chaparda, Jungadh, India Bhargav Rajyagor* Dr. Rajnish M. Rakholia Associate Professor, S. S. Agraval Institute of Management and Technology, Navsari, GTU, India In day to day human life, handwritten documents are a general purpose for communication and restoring their information. In the field of computer science, character recognition using Deep Learning has more attention. DL has a massive set of pattern recognition tools that can apply to speech recognition, image processing, natural language processing and has a remarkable capability to find out a solution for complex machine learning problems. DL can focus on the specific feature of an image to character recognition for enhancing efficiency and accuracy. 03 30 2020 5815 5819 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8608.038620 https://www.ijrte.org/portfolio-item/F8608038620/ Department of ECE, Sri Krishna College of Engineering and Technology, Coimbatore, India. Dr. S. Sasi priya* Rajarajeshwari S. Department of ECE, Sri Krishna College of Engineering and Technology, Coimbatore, India. Indumathi G. Department of ECE, Sri Krishna College of Engineering and Technology, Coimbatore, India Vinesha P. Department of ECE, Sri Krishna College of Engineering and Technology, Coimbatore, India . Athithya Janani A. Department of ECE, Sri Krishna College of Engineering and Technology, Coimbatore, India. Intelligent Transport System (ITS) is blooming worldwide. The Traditional Traffic management system is a tedious process and it requires huge man power, to overcome this we have proposed an automatic Traffic monitoring system that has effective fleet management. The current transportation system at intersections and junctions has Traffic Lights with Fixed durations which increase the unnecessary staying time which intern harms the environment. An Adaptive traffic light control is implemented using SUMO simulator, that changes the duration of Green and Red light according to the traffic flow. This is an effective and efficient way to reduce the Traffic congestion. The traffic congestion is determined by taking the object count using deep learning approach (Convolutional Neural Network). 03 30 2020 3328 3331 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8609.038620 https://www.ijrte.org/portfolio-item/F8609038620/ Department of Electronics Engineering, J.C. Bose University of Science and Technology, YMCA, Faridabad, India. Chhaya Grover* Dr. Neelam Turk J.C. Bose University of Science and Technology, YMCA, Faridabad, India. Various machine learning techniques along with vibration signal processing techniques are being explored for effective and accurate fault diagnosis of bearing faults. This work studies and evaluates the application of rough set based algorithms - RoughSet Classifier, LocalKnn Classifier and RseslibKnn Classifier and their combinations with 4 kinds of distance metrics - City block and Hamming (CBD and HD), City block and simple value difference (CB and VDM), Density based value difference (DBVDM), Interpolated value difference(IVDM) for bearing vibration signature analysis. The input vector fed to the classifier models is composed of statistical features extracted from pre-processed vibration signals. The different metrics used to compare the performance of the classifiers show that RseslibKnn classifier with City block and simple value difference distance metric takes considerably less time for training (9.09 sec) and classification (0.86 sec) while giving testing accuracy of 84.1442 %, thereby confirming its usefulness for real time application on large bearing fault datasets. The results obtained in this paper show the effectiveness of rough sets based algorithms, particularly KNN based classifiers, in bearing fault diagnosis. 03 30 2020 3332 3338 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8610.038620 https://www.ijrte.org/portfolio-item/F8610038620/ MCA Scholar, Department of Computer Science and IT, Amrita School of Arts and Sciences, Kochi, Amrita Vishwa Vidyapeetham, India Manjunath Rao* Calvin Joshua Fernandez MCA Scholar, Department of Computer Science and IT, Amrita School of Arts and Sciences, Kochi, Amrita Vishwa Vidyapeetham, India. Sreekumar K. Asst. Professor, Department of Computer Science and IT, Amrita School of Arts and Sciences, Kochi, Amrita Vishwa Vidyapeetham, India. Among the most dangerous of cancers found in human beings, skin cancer is the prevalent one. These are of various forms. The most sporadic among them is melanoma. Early phase identification of melanoma will be helpful in curing it. Intensive skin exposure to UV radiation is the principal cause of melanoma. In this article, along with other techniques for extracting features (LDP [Local Directional Patterns], LBP [Local Binary Patterns], Convolutional Neural Networks [CNN]), we have used an SVM classifier for the study of melanoma skin photos. Such suggested algorithms are best graded when opposed to other recognition schemes. The LBP and LDP gives us means to extract features; these figures are subsequently used for identification of derived features from these methods or algorithms and classified or separated by the SVM (Support Vector Machine) classifier. For many of the classifications of melanoma skin images using these algorithms, we have accuracy nearly above 80 %, whereby the LBP system together with the SVM classifier was the most powerful attribute extraction tool of the three with their polynomial kernel type. Thus using this algorithm-classifier, the melanoma skin lesion images can be detected and diagnosed by the doctors in its early stage itself, resultantly, helping save lives. 03 30 2020 2613 2618 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8612.038620 https://www.ijrte.org/portfolio-item/F8612038620/ Phd, programmer, Kyiv, Ukraine. Anton Berhulov* The article suggests the best option for designing a spacecraft. The process of activity of proposed structure of a spacecraft in outer space must be based on the acceleration due to the electromagnetic fields of the Solar System and the Milky Way Galaxy. Purpose of the study. Suggest a design solution to create a model of a spacecraft that is accelerated in motion using space electromagnetic fields. The relevance of the chosen topic is based on the need to address issues related to the limited resources of the planet, significant levels of overpopulation, problems of demography, ecology, sociology and political life. Novelty. It is determined that in order to obtain calculations of the acceleration of 1 g of spatial arbitrary direction, it is necessary to make measurements along the chain and to deduce the amount of charge on the useful surface of the object. Methodology. Magnetic field strength measurement method, electromagnetic measurement method. Results and conclusions. The article presents a scheme of creating a modified magnetic type engine, the result its process of activity will be an acceleration of 0.05 g. It will be achieved by free movement in outer space with the appropriate current. 03 30 2020 4540 4544 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8613.038620 https://www.ijrte.org/portfolio-item/F8613038620/ Department of Applied Mathematics, Gautam Buddha University, Greater Noida, India. Mohit Arya* Amit Ujlayan* Department of Applied Mathematics, Gautam Buddha University, Greater Noida, India. Mohit Yadav School of Biotechnology, Gautam Buddha University, Greater Noida, India. Deoxyribonucleic acid (DNA) is an essential macromolecule for all known varieties of life and its damage is a life-threatening structure. The DNA double-strand breaks (DSBs) are considered as one of the most rigorous kinds of DNA damage and an error in its repairing mechanism stimulates cancer and also causes lethality in cells with various genetic disorders. In this article, we have exhibited a numerical solution of an ordinary differential equation based biological model to overcome the error for estimating the average number of DSBs per cell time. This model is called DNA repair Model (DRM) and to solve this model a Modified Adomian decomposition method with new polynomials (MADMNP) is applied. The convergence of the aforesaid method is established and the order of error is also dissertated. To solve DRM, this method provides an improved scheme to estimate the average number of DSBs per cell time in comparison to Adomain decomposition method (ADM) and Laplace ADM with Pad`e approximation (LADM-Pad`e). In this respect, a comparison table and a two-dimensional comparison graph are provided by considering a numerical example. 03 30 2020 3339 3343 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8616.038620 https://www.ijrte.org/portfolio-item/F8616038620/ Department of Electronics and Communication Engineering at National Engineering College , Tamil Nadu, India. S. V. Vijayalakshmi* A. Apsara Department of Electronics and Communication Engineering at National Engineering College , Tamil Nadu, India. K. Preetha Department of Electronics and Communication Engineering at National Engineering College , Tamil Nadu, India. S. Cammillus Assistant professor, Department of Electronics and Communication Engineering at National Engineering College , Tamil Nadu, India. Modern applications need expeditious, speed parallel processing elements with desired output within the stipulated time. As sundry applications increase demands expeditious processing, low power consumption, truncated deadlock of recollection. Hence, memory deadlock, memory starvation, and allocation of memory for genuine-time applications are the real challenges of the desired real world. The work fixates on abbreviated power consumption, deadlock for the inputs onto the output.DVFS (Dynamic Voltage and Frequency Shifting) and CoC (Cloud of chips) are acclimated to abbreviate the deadlock and to utilize the recollection efficaciously for input onto output. The results show the potency consumption as truncated compared to the antecedent results. 03 30 2020 3344 3347 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8701.038620 https://www.ijrte.org/portfolio-item/F8701038620/ School of Computer Science and Engineering Department , Vellore Institute of Technology, Vellore , India. Khatera Mastanzada* Dr. Muhammad Rukunuddin Ghalib School of Computer Science & Engineering Department , Vellore Institute of Technology, Vellore , India. Now a day's web is the primary wellspring of data in each field. Web is additionally extending exponentially step by step procedure. To get the applicability of data is very tedious and is anything but an extremely simple assignment. For the most part of clients go for the different web indexes to look through any data. However, here and there web search tools are not ready to give valuable outcomes as the vast majority of the web archives are available in an unstructured way. Information mining is the extraction of data from an enormous database. This project can be useful in diagnostics, treatment, and counteraction of any ailment. There are large numbers of archives on the web about biomedical an explicit term so to acquire a pertinent record is exceptionally troublesome. The objective of this project is to apply content mining strategies to recover helpful biomedical web records. Here an increasingly productive instrument is proposed which utilizes the advanced SVM algorithm, grouping calculation where it can aggregate the comparable archives in a single spot. In this paper proposed smartly designed web mining algorithms to extract the textual form of information on web pages and to apply for web applications. This proposed system gives more helpful in all biomedical sectors. Search engines can be used to do the regression on the web pages into the biomedical structure. This methodology will assist the client in getting all the important relevant biomedical information in one place. On contrasting my methodology and the first SVM algorithm calculation that we use with an improved k-mean algorithm and found that our calculation on a normal giving 99.72 % results. 03 30 2020 2619 2624 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8703.038620 https://www.ijrte.org/portfolio-item/F8703038620/ Walchand Institute of Technology, Solapur, India Pavan M. Koge* Nikhil B. Deshame Walchand Institute of Technology, Solapur, India Karan T. Chhatwani Walchand Institute of Technology, Solapur, India Piyusha S. Shetgar Walchand Institute of Technology, Solapur, India In India, many People doing the agriculture, and it is a backbone of our country, in agriculture there are many problems like small land holdings, manures, pesticides, chemicals used by farmer for agriculture etc. Customers also increasingly demanding for the healthy FOOD diet which is good in quality and free from agricultural chemicals and pesticides. Our proposed system is fulfilling the above requirements and we are growing the plants organically. It is possible to controlled environment, in any place like room terrace, balcony etc. Also, we are growing large number of plants in small area. This is one of the type of agriculture can be more productive if monitored and controlled efficiently. In this system, we are controlling the all necessary things which need to the plants using IoT. People living in crowded city streets, without gardens, it they can grow fresh vegetables. It also useful for home growers as well as commercial growers. 03 30 2020 4876 4879 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8710.038620 https://www.ijrte.org/portfolio-item/F8710038620/ Department of Electronics and Communication Engineering, Anna University, Chennai, India. S. Rajalingam* Varsha D Department of Electronics and Communication Engineering, Anna University, Chennai, India Suvetha M Department of Electronics and Communication Engineering, Anna University, Chennai, India. Veerabathiran P. Department of Electronics and Communication Engineering, Anna University, Chennai, India. The principle target of this paper is to decide the over the top attributes of a baby during pregnancy by examining a fetal ECG waveform. In obtrusive system of FECG estimation, terminals are embedded inside the body this may cause the burst of films, which is perilous to both the fetal's and mother's lives. It is important to go for non-invasive strategy, right now readings are taken from the mid-region of pregnant ladies which is protected procedure for both mother and fetal. The fetal ECG waveform can be separated by smothering maternal ECG sign and clamor defilements present in the ECG input signal. By breaking down the fetal ECG waveform we can decide the irregularity of baby heart by estimating the fetal pulse and contrasting it and maternal pulse .The variation from the norm found in fetal during pregnancy can be valuable to treat the hatchling against heart related illnesses. 03 30 2020 3348 3353 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8715.038620 https://www.ijrte.org/portfolio-item/F8715038620/ Associate Professor, Department of CSE, Dr. Mahalingam College of Engineering and Technology, Coimbatore, India. Dr. Noble Mary Juliet A. Arun Soorya K. Student, Department of CSE, Dr. Mahalingam College of Engineering and Technology, Coimbatore, India Berciya S. Student, Department of CSE, Dr. Mahalingam College of Engineering and Technology, Coimbatore, India Praveen R. Student, Department of CSE, Dr. Mahalingam College of Engineering and Technology, Coimbatore, India. People travelling by vehicles to reach their desired destination find difficult to choose the safe route. A road may be damaged due to natural calamities and not be safe for vehicles. Those who are travelling long distances will not have enough knowledge regarding the safety of the road. An IoT device monitors road conditions and generate an alert message. The message is generated when water level reaches threshold level. Data analysis algorithm is employed to detect the safe route using previous conditions. The message is transmitted to a Road Side Unit (RSU) which then broadcasts it to a vehicle. The vehicle then sends the message to next nearest vehicle. This broadcasting happens until all vehicles within a range receives the message. Other Road Side Units helps in improving the signal strength of the message. RSU’s can also send message to vehicle if there is failure in Vehicle-Vehicle Communication. Protocol used for message broadcasting is Adhoc On-Demand Distance Vector Routing (AODV). It is slightly modified to improve efficiency and accuracy. Based on the alert message received vehicular nodes can take different path that is safe to reach the destination. 03 30 2020 3802 3805 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8718.038620 https://www.ijrte.org/portfolio-item/F8718038620/ Research Scholar, B. K. School of Business Management, Gujarat University, Ahmedabad-Gujarat, India. Janvi Gondaliya* Dr. Mamta Brahmbhatt* Associate Professor, B. K. School of Business Management, Gujarat University, Ahmedabad-Gujarat, India. Given study had investigated impact of six demographic variables and Personality trait variables (Agreeableness, Openness, Conscientiousness, Emotional Stability and Extraversion ) on emotional bias- Regret aversion. Ten Item personality trait model (Gosling, Rentfrow, & Jr., 2003) had used to measure personality traits. Based on work of (POMPIAN, 2006) regret aversion bias had measured. Data has been collected through Questionnaire from 585 respondents. Respondents who have knowledge of financial products, financial experts and investors had selected for filling the questionnaire. Logistic regression model had used to find out relationship between personality traits & regret aversion bias while chi- square method had used to find out relationship between demographic variables and regret aversion bias (Jr., Black, Babin, & Anderson, 2014). It was found that regret aversion bias had negative relationship with Agreeableness, Emotional stability and positive relationship with openness to experience. 03 30 2020 3113 3116 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8720.038620 https://www.ijrte.org/portfolio-item/F8720038620/ Department of Electronic and Communication Engineering, Amity School of Engineering & Technology, Amity University Madhya Pradesh, Maharajpura Dang, Gwalior (MP)-474005, India. Vivek Singh Kushwah* Narendra Kumar Garg* Department of Electronic and Communication Engineering, Amity School of Engineering & Technology, Amity University Madhya Pradesh, Maharajpura Dang, Gwalior (MP)-474005, India The principle purpose of this paper is to design a microstrip patch antenna using the circular fractal shape through HFSS software so that the designed antenna would be beneficial in multifarious bands with low cost, less physical size and most vitally high bandwidth. The results obtained are also very close and even accurate to match with the current world. 03 30 2020 3441 3444 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8723.038620 https://www.ijrte.org/portfolio-item/F8723038620/ Asst Professor, Department of Mechanical Engineering, Government College of Engineering, Chandrapur (MS)-INDIA, Sushil T Ambadkar* Dr.Deepak V. Bhope Professor, Department of Mechanical Engineering, Rajiv Gandhi College of Engineering, Research and Technology, Chandrapur (MS)-INDIA Filler metal addition has been verified as an effective way to refine mechanical behaviour of cold rolled mild steel in resistance spot welding.Negligible quantity of filler metal if added to the spot weld is found to improve mechanical properties of spot weldments , if no variation in composition of base metal and filler metal is allowed.. Looking at practical applications, sensitivity of the Resistance Spot Welding process with filler metal to variation in preheating treatment were experimentally investigated.Filler metal quantity was from 30 mg to 70 mg and preheat heat treatment was kept between 20% to 60%.The material of the filler metal is same as that of base metal and was added at the centre of overlap in lap joint.The experimentation was carried out by spot welding of specimen varying filler metal from 30 mg to 70 mg maintaining preheating cycle constant at 20%.The experimentation was then repeated for different preheat cycles.For 20% to 60% of preheat cycle, maximum breaking point was found to be varying linearly with increase in preheat level. Overall improvement in load bearing and energy absorption capability was observed as majority of specimen fail under the button pullout mode. 03 30 2020 5679 5684 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8724.038620 https://www.ijrte.org/portfolio-item/F8724038620/ Benedictine Academy, Bangalore, Karnataka, India Sanjay K S Ajit Danti Christ(Deemed to be University),Bangalore,Karnataka, India, Prediction is the way of identifying the behavior of a person towards online shopping by analyzing the reviews publicly available on the web. In the present study, machine learning approaches are used to extract reviews from the web and segregate and classify them in to five categories, namely, strongly positive, positive, neutral, negative, and strongly negative, for the prediction of human behavior. Several pre-processing methods (including stop-word removal) are applied and web crawler is used to gather the data. This is followed by the application of Stanford POS tagger for tagging the reviews, which is done after stemming by using the porter stemmer algorithm. Analysis of a person’s behavior is performed and experimental results are compared with machine learning approaches. 03 30 2020 3117 3120 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8733.038620 https://www.ijrte.org/portfolio-item/F8733038620/ UG Student, Department of Electronics and Communication Engineering, SRMIST, Chennai, India. Nishi K. U*. S. Hemalatha UG Student, Department of Electronics and Communication Engineering, SRMIST, Chennai, India. P. Sonia Lakshmi UG Student, Department of Electronics and Communication Engineering, SRMIST, Chennai, India. Amrutha K UG Student, Department of Electronics and Communication Engineering, SRMIST, Chennai, India. The landmines are created for war purpose by burying explosive metals underneath the earth surface at the length of 15 cm. It can stay active for up to 50 years. They relay on the effect of explosive blast to damage the victim. Mostly, these could be Blast mines where the explosive material is buried. These explosive materials are made up of metal or other materials where explosive chemical component embedded in it. These landmines could be found with the help of inductive proximity sensors to detect metallic objects and ultrasonic sensors to detect the distance of the detected object from the vehicle. With the help of Bluetooth module which is implemented on the unmanned vehicle is used to search the minefields will transmit the information to its paired device. The vehicle is programmed using Arduino Uno (AT mega 328) to analyse and process the information. The device is programmed in such a way that as soon as it finds any objects it stops right there. Indicating the presence of metal object on that location. This detection is done with the help of creating Bluetooth nodes and then activating the sensors through Bluetooth transmitter (user’s device). Based on the target object ‘s electromagnetic radiation the presence of metal can be found. This is done to demine the unknown landmines across the world. 03 30 2020 3354 3357 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8734.038620 https://www.ijrte.org/portfolio-item/F8734038620/ Assistant Professor, Sridevi women's Engineering College, Hyderabad, India. A. Saibabu* Dr. V. Anantha Krishna Professor, Sridevi women's Engineering College, Hyderabad, India. V. Prabhavathi Assistant Professor, Malla Reddy Engineering College For Women, Hyderabad, India. Software Defined Networking (SDN) is a propelling system structure perspective that spotlights on the parcel of control and data planes. SDN gets creating care both from the academic network and adventure, all through an immense number of utility spaces. The proposal of extended progression in system purposes and diminished expense for framework directors has gotten over the frameworks organization world to the innovative and farsighted of Software Defined Networking (SDN). With the surge of widely inclusive detectable quality over the system and the likelihood to programming framework contraptions, architects have rushed to remunerate a variety generally SDN-pleasant hardware, programming and organizations. Regardless, amidst this free for all of movement, one key segment has least troublesome not exceptionally far in the past entered the discourse: organize protection. In this article, confirmation in SDN is considered offering both the investigation social event and industry advances with respect to this issue. 03 30 2020 3358 3362 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8735.038620 https://www.ijrte.org/portfolio-item/F8735038620/ electronics and communication engineering, National engineering collegkovilpatti,tamilnadu J. Lavanya* M. Abirami electronics and communication engineering, National engineeringcollege,kovilpatti,tamilnadu I. Merlin electronics and communication engineering, National engineering collegkovilpatti,tamilnadu I.Vivek anand electronics and communication engineering, National engineering collegkovilpatti,tamilnadu Arrhythmia is one in all the foremost well-liked heart diseases that might result in serious consequences. In case of arrhythmia, the heart rate may be either too fast or slow. When a person suffers from arrhythmic the heart may not pump sufficient blood to all body parts that is necessary for circulation. some of the symptoms of arrhythmia includes faintness ,fluttering your chest, a light headedness or dizziness, fainting or near fainting and on the worst it may turn out to be deadly causing ventricular fibrillation. Due to this it is very crutial to detect conditions of arrhythmia. It is very difficult to identify the symptoms of arrhythmia from a long ECG record. This projects presents a VLSI based design of high speed and minimum area for arrhythmia detection .It uses arithmetic distribution discrete wavelet transform for arrhythmia detection of QRS wave and is implemented using CADENCE. The purpose of distributive arithmetic discrete wavelet change is to compress the ECG signal. ECG signals are generated via MATLAB. The resultant of these coefficients are given to the LUT, which comprises of MIT-BIH databases. Our aim is to detect the QRS complex in the ECG signal and to identify the time and frequency variations. By comparing these variations with that of the reference variations produced in the normal ECG waveform it is easy to identify whether the patient is suffering from arrhythmia or not. The coding was written in verilog and stimulated in modelsim software and implemented using CADENCE tool. 03 30 2020 4932 4936 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8743.038620 https://www.ijrte.org/portfolio-item/F8743038620/ School of Management, Centurion University of Technology and Management, Bhubaneswar, Odisha, India, Dr. Pramod Kumar Patjoshi* Dr.Girija Nandini School of Management, Centurion University of Technology and Management, Bhubaneswar, Odisha, India, A mutual fund is a unique and significant investment avenue provided by different financial institutions. Mutual funds mobilize money from numerous investors and invest in various financial securities in the stock market. It is a professionally managed investment avenue, which is related to market risk. It has seen an incredible development in the mutual fund sector in India during the last few decades. This paper has examined the performance of the selected equity-based mutual funds schemes by analysing their risk and returns in India. This paper also examined the risk and returns spillovers effects among Sensex and equity-based mutual funds in India. A total of eighteen schemes offered by six companies operating in India have been examined over the span of six years from 1st January 2013 to 31st December 2018. The study is related to secondary data and for analysing the data daily Net Asset Values (NAVs) of selected schemes have been collected from different websites. For analysing and measurement of risk and return spillovers effects among Sensex and equity based mutual funds in Indian mutual funds, different methods like descriptive statistics and correlation have applied. For testing the hypothesis, t-test has been applied and found that there is no significant difference between daily returns of Sensex and other sample mutual fund schemes indices daily returns at a 5% degree of significance. 03 30 2020 4478 4484 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8744.038620 https://www.ijrte.org/portfolio-item/F8744038620/ department of Aerospace Engineering, Jain University, Bengaluru, India. Kadripathi K N* Dr K S Kiran department of Physics, Jain University, Bengaluru, India. L Yethinder Ragav department of Aerospace Engineering, Jain University, Bengaluru, India. Manu Kiran B department of Aerospace Engineering, Jain University, Bengaluru, India. the proposed concept in this paper aims to design an instrument that measures and compares the magnetic permeability of the given substance, hence to determine the purity of the sample in a non-destructive manner. This works based on the stimulation method, where the magnetic field acts as a stimulator. A certified pure sample of milk is analyzed using this device to get the standard permeability of the milk. Then this sample is diluted with a known amount of water and the deviation of permeability is studied. The attained results are used to calibrate the device. The equation, which is modeled from the results, is used to interpret the purity of the given sample. The sample that has undergone the test procedure is safe to be reused. This is an effective Non-Destructive Test (NDT) to know the adulterant. Not only milk but other fluids such as hydraulic oil, fuels, and solids can also be tested for their impurity content. This device can also be used as a complementary for Electronic Tongue. It is a more efficient method where the comparative study of materials is used. Further, this method can be used to approximate the boiling and freezing point of the same when the exact composition of the material is known 03 30 2020 3128 3133 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8747.038620 https://www.ijrte.org/portfolio-item/F8747038620/ Research Scholar, Department of CSE, GIT, GITAM Deemed to be University, Visakhapatnam, (A.P), India Bhaskar Prakash Kosta* Dr. Pasala Sanyasi Naidu Assoc Professor, Department of CSE, GIT, GITAM Deemed to be University, Visakhapatnam , (A.P), India. IoT (Internet of things) equipments is used heavily, but they are poor in security issue and security can be pierced. Also the message that the IoT device transmit is the main cause for their security lapse. that the IoT devices send may lead to the breach of users’ privacy. To make the communication secure between IoT nodes and servers, a lightweight cryptographic algorithm using pseudo stream and trigonometric function with dynamic key is proposed. This algorithm works in different phases, the first is mutual authentication followed by key synchronization and then a trigonometry function for encryption and decryption, with updation of key after specific time period. The algorithm assures that the IoT node will not be overloaded and the security is enhanced by reducing the chance of cryptanalysis. The mutual authentication, session key synchronization and updation of session key are completed through several encrypted communication. Here, the key length and update cycle are variable to prevent attack. We compare the security and performance for mutual authentication, with some light weight authentication scheme and performance of encryption algorithm are compared to other algorithm like Hill Cipher, RC4, RSA. According to analysis the proposed mutual authentication and secret key for session synchronization can provide more security features with low over head of communication which is suitable for protect communication security of IoT with limited resource and power. The encryption decryption algorithm provides better performance. Trigonometric concept is used in the design of encryption decryption algorithm. 03 30 2020 4623 4630 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8749.038620 https://www.ijrte.org/portfolio-item/F8749038620/ Department of Computer Science, Sri Krishna arts and Science, Coimbatore, Tamilnadu, India. S. Sandhya* N. Karthikeyan Department of Computer Science, Sri Krishna arts and Science, Coimbatore, Tamilnadu, India. R. Sruthi Department of Computer Science, Sri Krishna arts and Science, Coimbatore, Tamilnadu, India. While using non-stop advancement of correspondences industry, almost all clients steadily appreciate various interchanges companies. To accomplish persuasive and moderate identification with regard to telecom deceit clients, all of us propose an effective and suitable extortion customer discovery method dependent on customer's Call detail Record (CDR). The suggested strategy contains two segments, specific device learning component and file format discovery element. In the equipment wisdom component, a support Vector machine (SVM) computation dependent on aimed knowledge is actually utilized to team clients making use of outline characteristics. Detail evaluation is similarly completed regarding separating the actual detail associated with networks. Outcomes show that these strategies will help rapidly character the ad calls. The actual investigations display that the technique can achieve high reputation precision regarding 97.56%, which exhibit that the proposed technique has progressively brilliant execution in examination with the best in class draws near. 03 30 2020 3806 3810 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8751.038620 https://www.ijrte.org/portfolio-item/F8751038620/ Department of Computer Science and Engineering,National Engineering College, Kovilpatti, Tamil Nadu, India B Sivasankari* K. Subhikshaa Department of Computer Science and Engineering,National Engineering College, Kovilpatti, Tamil Nadu, India . S.Theepa Sri Department of Computer Science and Engineering,National Engineering College, Kovilpatti, Tamil Nadu, India M.Yasmin Fathima Department of Computer Science and Engineering,National Engineering College, Kovilpatti, Tamil Nadu, India . *Dr.V. Sivakumar Assistant Professor, Department of Computer Science amd Engineering, National Engineering College, Kovilpatti, Tamilnadu, India. Presently a-days the whole world is confronting the instability which has gotten one of the major challenges. Each nation has their own unconventional security issues. The crime percentage in all aspects of our general public nowadays has become an undermining issue with the end goal that vehicles are currently utilized for carrying out crimes more than previously. The issue of vehicle robbery has expanded massively, for the most part at gunpoint or vehicle leaves. There is a requirement for reasonable records of taken, recognized and recuperated vehicles which are not promptly accessible in our general public and in that capacity significant. The improvement of a vehicle robbery caution and area distinguishing proof framework turns out to be increasingly essential for vehicle proprietors to guarantee burglary anticipation and an expedient recognizable proof over recuperation which incorporates missing of vehicles by an unapproved individual. Our model utilizes a GSM application created and introduced in a cell phone gadget that is installed in the vehicle to speak with the vehicle proprietor's cell phone through SMS. The correspondences set up incorporate; (I). Sending an alarm message from introduced cell phone gadget to vehicle proprietor portable phone.(ii).Sending an admonition message from the vehicle proprietor's cell phone to begin and stop the introduced cell phone. Decide the present area of a vehicle utilizing GPS. 03 30 2020 5855 5858 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8752.038620 https://www.ijrte.org/portfolio-item/F8752038620/ Assistant Professor, Department of Computer Science and Engineering, K. Ramakrishnan College of Engineering, Tiruchirappalli, Tamil Nadu, India. R. Sasikumar* B. Haritha UG Students, Department of Computer Science and Engineering, K. Ramakrishnan College of Engineering, Tiruchirappalli, Tamil Nadu, India. T. Borshiya Vincy UG Students, Department of Computer Science and Engineering, K. Ramakrishnan College of Engineering, Tiruchirappalli, Tamil Nadu, India. M. Kamali UG Students, Department of Computer Science and Engineering, K. Ramakrishnan College of Engineering, Tiruchirappalli, Tamil Nadu, India. S. Deva Priya Assistant Professor, Department of Computer Science and Engineering, SRM TRP Engineering College, Tiruchirappalli, Tamil Nadu, India. This paper presents to create a centralized alumni network for betterment of institutions and upcoming student’s community. The System is able to collect and store alumni information for future communication. Former students of institution can communicate with their immediate friends as well as forthcoming students and various members involved in the institution community. Apart from the alumni, the institutions/organization also benefitted when sustains this network. This single system can satisfy almost every requirement of the alumni. Usually, alumni associations are organized in colleges, but may also be organized in a place where the alumni can meet each other. Despite the fact that there are many existing systems in colleges to maintain the alumni information, they are manual and more time consuming to current students to reach out their alumni and maintaining the privacy of the alumni. To overcome these issues, we proposed a web based application which allows alumni to update their information and students can connect with them and can view the filtered events posted by alumni and admin through Support Vector Machine algorithm (SVM). Proposed method, SVM algorithm used to classify the alumni members and their posting message from others in this community. 03 30 2020 3363 3367 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8757.038620 https://www.ijrte.org/portfolio-item/F8757038620/ M.Com (Finance And System) Amrita School of Arts And Science, Kochi, Kerala, India. Reshma Raj K*. Sakitha Anna Joseph M.Com (Finance And System) Amrita School Of Arts And Science, Kochi, Kerala,India. Dr. Sony Vijayan Associate Professor, Research Guide, Pgp Chair ( Member , Board of Studies In Commerce ) Amrita School of Arts And Science, Kochi, Kerala, India. Being fit physically and mentally is every human being’s ultimate desire. This need has been realized by the pioneers behind the development of fitness applications. To serve the diverse needs of users, these apps offer personalization and also offer diet and nutrition besides exercise and workouts. The apps have been a great relief to people who do not have time to visit fitness centers. Also it provides cost free exercise guidelines and diet packages. Many people who have realized the importance of these apps in their daily life have started making use of such apps. This study aims to understand the user’s stance on fitness apps available in mobile devices. Basically, the study focuses on the effectiveness of fitness apps in terms of various factors like time, cost and accessibility. Also it digs into the reasons why these apps are preferred over fitness centers. Requisite information regarding various related aspects was collected through primary data from one hundred respondents. The study also alludes on the means to increase and improve the user participation towards using the apps. 03 30 2020 3368 3373 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8760.038620 https://www.ijrte.org/portfolio-item/F8760038620/ Research Scholar, Department of EEE, Vels Institute of Science Technology and Advanced Studies, Tamil Nadu, India. R. Ragul* N. Shanmugasundaram Associate Professor, Department of EEE, Vels Institute of Science Technology and Advanced Studies, Tamil Nadu, India. S. Thangavel Associate Professor/EEE, National Institute of Technology Puducherry, Karaikal, India. Industrial applications call for a long interconnected cable between Adjustable frequency drive (AFD) and. The distributed inductance and the capacitance associated with the wire and the coupling between the wires within the cable, generates overshoot voltage due to the high rate of rise motor or fall of the high frequency PWM output of the AFD. It may result in damage to either motor or the AFD. In this study, a high regularity model of the cable is developed to predict and analyze the role of the cable in the generation of voltage transients. The future method is confirmed on untried setup test bench of 5HP induction motor and 100 meter power cable run along AFD system. The motor reflected overshoot voltage is estimated by the planned model in good conformity with the trial measurements results. The cable behavior is analyzed on parameters in occurrence domain as well as moment field for a three core cable in terms of their equivalent circuits. The result is presented in MATLAB/SIMULINK. 03 30 2020 3374 3382 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8763.038620 https://www.ijrte.org/portfolio-item/F8763038620/ Research Scholar, Department of Civil Engineering, Annamalai University, Chidambaram, Tamil Nadu, India. Vijay Babu S*. Inbanila T. Assistant Professor, Department of Civil Engineering, Annamalai University, Chidambaram, Tamil Nadu, India. Asha B. Associate Professor, Department of Civil Engineering, Annamalai University, Chidambaram, Tamil Nadu, India. The start-up period in anaerobic treatment process is generally measured as the period engaged for stable operation to be attained. A 14.47 litres working volume of bench scale anaerobic Expended Granular Sludge Bed Reactor was designed and fabricated for the treatment of slaughter house wastewater. The reactor has been continuously operated at mesophilic range with an organic loading rate from 0.013 to 0.014 kg COD/m3.day with an Influent COD of 592 to 648 mg/l during start-up process with a HRT of 3 days. In anaerobic treatment process the main complexity to develop most suitable microbial culture in the reactor in terms of the granular formation and establishment of biomass. Throughout 70 days of continuous monitoring of the reactor, it was found that the Expended Granular Sludge Bed Reactor was attained a steady state from 54th day to 61th day with maximum of 91.14% removal efficiency during start-up phase. During the start up period Volatile Fatty Acid accumulation was also observed from 18th day to 27th day. The pH level also declined at these stages. 03 30 2020 2625 2628 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8769.038620 https://www.ijrte.org/portfolio-item/F8769038620/ Department of electrical engineering, Jamia Millia Islamia, New Delhi, India Altaf Alam* Zainul Abdin Jaffery Department of electrical engineering, Jamia Millia Islamia, New Delhi, India In this paper, an algorithm is proposed to classify the Indian traffic sign as mandatory cautionary and informatory class. In order to complete the task, system extracted the speed up robust features (SURF) from the Indian traffic sign data, and exploited these features to train support vector machine (SVM) algorithm. Combination of SURF features and SVM classifier makes system robust for scale variation, rotation, translation and illumination variation as well as generalization is achieved. Dimension of features have been reduced by choosing a sub set of features. Whisker and box plot visualization utilized to understand the features data. Whisker plot visualization concluded about the range, skewness, median and outliers of feature data therefore, it makes the system capable to keep good features and back out from irrelevant features. Feature refinement reduces the computational complexity. The results evaluated narrate that the overall performance of proposed algorithm is efficient. 03 30 2020 3132 3141 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8775.038620 https://www.ijrte.org/portfolio-item/F8775038620/ pursued Bachelor of Computer Engineering from Bharati Vidyapeeth Deemed University College of Engineering, Pune, India Prof. R.B. Jadhav* Prof. Dr. S. D Joshi completed PhD in Computer Engineering from Bharati Vidyapeeth deemed to be University, Pune- 43 India. Mr. Umesh Thorat pursued Bachelor of Mechanical Engineering from Sinhagad College of Engineering, Pune, India Software development is a multitasking activity by an individual or group of team. Every one activity engages diverse tasks and complication. To accomplish quality improvement, it is essential to make every activity task free of defects. But locating and correcting defects is more expensive and time-intense. In the past, many potential methods have been used to predict potential drawbacks in the program based on the theory of probability facts. Because the probability method applies a random variable and probability distributions to find a solution, the result is always in a possible range that can be true at some time or may also be wrong. Therefore, an additional calculation method coupled with the probability of making it more accurate and new in predicting the defect of the program. In this paper, we propose a Probabilistic and Deterministic based Defect Prediction (PD-DP) through Defect Association Learning (DAL). The PD-DP implements a Probability association method (PAM) and Deterministic association method (DAM) to predict the software defect accurately in software development. The experimental evaluation of the PP-DP in compare to existing prediction methods shows enhancement in prediction accuracy. 03 30 2020 4264 4270 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8778.038620 https://www.ijrte.org/portfolio-item/F8778038620/ Department of Computer Science and Engineering, Mookambigai College of Engineering, Tamilnadu, India. Vinoth S. M. E*. Dr. P. Valarmathi Professor and Head Department of Computer Science and Engineering, Mookambigai College of Engineering, Tamilnadu, India. Applications of machine learning (ML) have been increasing widely in various fields like recommendation, fault identification and disease prediction. In ML, different algorithms were available and utilized in disease prediction such as heart disease prediction, cancer prediction and other forms disease prediction. In our proposed work, breast cancer prediction using ML has been implemented. Initially breast cancer images have been taken as input, preprocessing steps will be done to remove noisy and irrelevant data from image. Then 2D median filter is a nonlinear operation often used in image processing to reduce "salt and pepper" noise. To increase contrast of image contrast-limited adaptive histogram equalization is used. Segmentation has been implemented and GLCM feature extraction is deployed based on this information classification is implemented. For accurate classification Artificial neural network (ANN) is used to predict whether the patient is affected by breast cancer or not. Compared to other existing method our method predicts results in accurate way. 03 30 2020 3811 3815 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8799.038620 https://www.ijrte.org/portfolio-item/F8799038620/ Bachelor of Engineering,, Computer science and Engineering ,t National Engineering College, India. G. Anusha* S. Archana Bachelor of Engineering, Computer science and Engineering at National Engineering College, India J. Thivya Bachelor of Engineering in computer science and Engineering at National Engineering College, India G.R. Hemalakshmi Assistant Professor (Sr.Grade) at National Engineering College, Kovilpatti, Tamilnadu, India The need for video surveillance and installation of CCTV cameras in public places is increasing due to the increase in crime and crime investigations. Nowadays, home appliances are controlled using mobile applications due to the rapid increase in the use of mobile devices. There have been so many equipments that make use of the GSM/GPRS facility of the handset. There were so many automated systems that inform the remote user about the intrusion of the intruder or attempt to intrude their house was developed. We are proposing a system for surveillance of home. This surveillance system processes by obtaining stream of video from a CCTV camera fixed at a particular location and informed the user about the intrusion via the android application installed in the user's mobile. This Android application installed in the user’s mobile interprets the message a mobile device receives on possible intrusion from the server. The message is send to the android application via Firebase Cloud Messaging (FCM). The movement of the object is detected accurately. After the detection of motion and viewing of the image the user realize the intrusion and further actions and be made. 03 30 2020 5794 5797 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8800.038620 https://www.ijrte.org/portfolio-item/F8800038620/ Department of Computer Science and Engineering, National Engineering College, India. R. Kantharhuban* V. Mayandi Department of Computer Science and Engineering, National Engineering College, India. K. Gomathinayagam Department of Computer Science and Engineering, National Engineering College, India. Face detection, face tracking, and Object identification is the first process in applications such as face detection-based attendance marking system, video surveillance, and tracking of human faces in case of emergency. The main objective of our project is to detect and track the moving human faces with a permanently placed fixed camera. We propose a general moving face detection and tracking system.Our project mainly focuses on the moving human face detection in a situation, let us say, the people moving together are meeting with each other and are detected as the people as long as they stay in the situation. This can be done with the help of an Image Difference Algorithm with the python programming language support, and also that the time period for each and every frame can be calculated. 03 30 2020 5116 5118 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F8801.038620 https://www.ijrte.org/portfolio-item/F8801038620/