-4d90550d17f4602e089-7bee 20220304071646319 beie:beie director@blueeyesintelligence.org WEB-FORM International Journal of Recent Technology and Engineering (IJRTE) IJRTE 22773878 10.35940/ijrte.2277-3878 https://www.ijrte.org/ 05 30 2020 9 1 Department of Computer Science, Sukkur IBA University, Sukkur, Pakistan Hafiz Ahmed Ali* Khisaluddin Shaikh Department of Computer Science, Sukkur IBA University, Sukkur, Pakistan Murk Chohan Department of Computer Science, Sukkur IBA University, Pakistan Kainat Fareed Memon Department of Computer Science, Sukkur IBA University, Sukkur, Pakistan Muhammad Saleem Department of Computer Science, Sukkur IBA University, Sukkur, Pakistan, Adil Khan Department of Computer Science, Sukkur IBA University, Sukkur, Pakistan Over the last few years the majority of small and large companies moving to cloud computing to develop IT solutions for businesses. It is technology which provides distributed and dynamically shared computing resources using certain operating techniques. In the revolution of information technology, cloud computing is becoming a key paradigm. Cloud computing further classified as Public, Private and Hybrid Cloud. It provides three services which are categorized as Infrastructure-as-Service, Platform-as-Service and Software-as-Service. Open source cloud management platforms providing Infrastructure-as-a-service are now commonly used because of the fastest growth of cloud. Many open source softwares are available for deploying public or private cloud. This paper provides a brief review and comparison of five well-known open source cloud software i.e. OpenNebula, Eucalyptus, OpenStack, Nimbus and CloudStack providing IaaS on the basis of their similar features and technology used. After reviewing the importance and features, we have found OpenStack Cloud Platform is more reliable and useful for the enterprises and organization because of its feature and rapid improvements in its features. The distinction in this paper is believed to help people to choose the suitable open source software according to their need. 05 30 2020 829 833 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A1978.059120 https://www.ijrte.org/portfolio-item/A1978059120/ Assistant Professor, Department of Electronics and Communication Engineering,R.M.K. College of Engineering and Technology, Anna University, Chennai, India. K. KANNAN* N.SAI KUMAR Department of Electronics and Communication Engineering ,R.M.K. College of Engineering and Technology, Anna University, Chennai, India. E. LOGITH Department of Electronics and Communication Engineering ,R.M.K. College of Engineering and Technology, Anna University, Chennai, India R.MANOJ KUMAR Department of Electronics and Communication Engineering, R.M.K. College of Engineering and Technology, Anna University, Chennai. O.SURYA PRAKASH Department of Electronics and Communication Engineering, R.M.K. College of Engineering and Technology, Anna University, Chennai, India. Water is an essential resource in agriculture and its optimal management plays a major role. The important objective of this paper is to provide an automated irrigation system to minimize the utilization of in agriculture by combining the advanced technologies like Internet of Things (IoT), optimization tools and cloud computing. This automatic irrigation system installs low cost sensors to sense variables of interest such as soil moisture, soil type, and weather conditions. The data obtained is then directly stored in the web page and can be monitored using mobile or through Pc. The data from the field is transmitted to the cloud using global system for mobile communication (GSM) cellular networks. Then an optimization model is used to compute the optimal irrigation rate which is automated using a solenoid valve controlled by Pic microcontroller. The previous variables of interest are stored in the cloud and accessible as a service to the agronomists. This proposed approach is demonstrated on a pilot scale cultivated capability and our results demonstrate the reduced water utilization, data-availability improvement and picturing. 05 30 2020 2018 2023 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A1979.059120 https://www.ijrte.org/portfolio-item/A1979059120/ Central Pollution Control Board, East Regional Directorate Kolkata Department of Mining Engineering National Institute of Technology Rourkela - 769 008, India Bishnu Prasad Sahoo Himanshu Bhushan Sahu Department of Mining Engineering National Institute of Technology Rourkela - 769 008, India Coal is a major source of nonrenewable energy in India. Most of the Industries depend on the coal to meet the energy demand of the country. Coal mining is invariably associated with the generation of voids. The voids so generated are often filled with overburden (OB) and waste materials. To enhance the utilization, fly ash (FA) is also being used for filling the voids. However, these operations inevitably require excessive planning and control to minimize the environmental impact of mining. In order to evaluate the impact of backfilling the voids with coal mine wastes and fly ash, Overburden and fly ash materials have been collected from Talcher coalfield. The geotechnical characterization study of overburden (OB) sample and OB+30% fly ash samples have been carried out separately for backfilling. After addition of fly ash, it is observed that the permeability is increased but liquid limit, plastic limit, and plasticity index (PI) of the OB are decreased. The maximum dry unit weight of OB mixture decreases while optimum water content increases with the fly ash. The angle of internal friction of OB decreases after addition of the fly ash. Cohesion value of OB sample has not changed much after addition of the fly ash. The grain size analyses results show OB sample is poorly graded. The OB soil type is found to be poorly graded sand of low compressible clay (SP-CL). Similarly, the OB+30% fly ash soil type is of poorly graded sand of low compressible silty (SP-ML) type. The OB and OB+ 30% fly ash contain heavy metals such as Fe and Al in high quantity, mild concentrations of Zn, Cr, and Mn and low amounts of Cu, Co, As, and Se. B and Pb are found below the detection level. The decreasing order of heavy metals in the leachate samples observed to be Fe>Mn>Ni>Cu>Zn>Se>Co>Cd>Cr>As. The major mineral phases in OB and OB+30% fly ash samples are found to be quartz, kaolinite, muscovite, dickite, zinnwaldite, and illite. 05 30 2020 2490 2500 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A1985.059120 https://www.ijrte.org/portfolio-item/A1985059120/ received B. Tech degree from the Department of Electronics and Communication Engineering, SRM Institute of Science and Technology, Kattankulathur, Chennai, India. Gaurav Sharma Neelaveni Ammal Murugan* Assistant Professor (Sr.G), Department of Electronics and Communication Engineering, SRM Institute of Science and Technology, Kattankulathur, Chennai, India. Aditi Raghav received B. Tech degree from the Department of Electronics and Communication Engineering, SRM Institute of Science and Technology. Kattankulathur, Chennai, India. Rohan Pareek received B. Tech degree from the Department of Electronics and Communication Engineering, SRM Institute of Science and Technology. Kattankulathur, Chennai, India About half a million people across the globe suffer from different types of hand injuries and hand impairments. These impairments reduce the quality of living. The present system demands a physician to perform the physiotherapy on the mutilated hand of the patient. Nowadays it has become difficult for the physiotherapists to cater to all their patients given time constraints and increasing numbers of patients. A Hand Exoskeleton was developed for the rehabilitation of the mutilated hand which enables the patient to conduct physiotherapy himself without having to go to a rehabilitation centre. The exoskeleton provides a convenient and cost-effective mechanism for physiotherapy since the patient can do the physiotherapy himself at a time of his convenience and any number of times he wants to. With the exoskeleton, the movement of the good hand is replicated in the mutilated hand of the patient. This exoskeleton can supervise the bidirectional movement of the mutilated fingers. That way, the injured fingers are provided with some movement by the help of the servo motors. The gyroscope attached to the stroke hand determines the angular deflection. This exoskeleton can be used for repetitive, intensive and continuous physiotherapy exercises. It can treat many patients daily with minimum supervision. In the long term, the patient would be rewarded physically, emotionally and economically. The exoskeleton is lightweight and economically affordable for everyone. In this manner, patients are no more dependent on physiotherapists for the exercise. No external help is required by the patients for their daily exercise. 05 30 2020 2501 2504 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A1989.059120 https://www.ijrte.org/portfolio-item/A1989058119/ Mechanical Engineering, Pune University, Pune, India. Mangirish S Kulkarni Omkar A Tare Mechanical Engineering, Pune University, Pune, India. Rupesh B Kamble Mechanical Engineering,Pune University,Pune, India. It is inevitable that the oil in a hydraulic system will contain contamination in particle form. The sources and types of oil-borne contaminants are well known and will include particles of silica’s, metals flakes, elastomers and fibers of hydraulic hose material. Sizes and concentration of particulate contaminants are indicated. There is considerable interest among manufacturers and users of hydraulic systems in establishing acceptable limits of contaminations in which particular systems will operate satisfactorily. Such information would be used to 1) Specify the degree of filtration required in the system 2) Specify the contamination sensitivity of the system 3) Define the contamination tolerance level of the system To this end, it is necessary to gather reliable data on the performance of system components under controlled contaminated oil conditions. Thus, we designed a new Eco-friendly portable setup which does not use hazardous liquids to clean hose. Instead the setup uses a fresh, clean pressurized atmospheric air; hence there is no harmful effect on human health and contamination of environment. 05 30 2020 934 942 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A1991.059120 https://www.ijrte.org/portfolio-item/A1991059120/ Assistant Professor, Department of Computer Science and Engineering, Sri Shakthi Institute of Engineering and Technology, Coimbatore, India. S.V.Evangelin Sonia* R. Prasanth Department of Computer Science and Engineering, Sri Shakthi Institute of Engineering and Technology, Coimbatore, India. B. Mythreyei Department of Computer Science and Engineering, Sri Shakthi Institute of Engineering and Technology, Coimbatore, India. A. Harshavardhan Department of Computer Science and Engineering, Sri Shakthi Institute of Engineering and Technology, Coimbatore, India. A. Manoharan Department of Computer Science and Engineering, Sri Shakthi Institute of Engineering and Technology, Coimbatore, India. Autistic Spectrum Disorder (ASD) is a behavioral impairment that interferes with the use of auditory, communicative, cognitive, abilities and social skills. ADS was introduce researched using advanced approaches based on machine learning to speed up the diagnostic period or increase the responsiveness, reliability or precision of the diagnosis process. Normal medical checkup data (training data) of the baby, test data is used to classify the child with autism. The assessment results showed that, for both types of datasets, the proposed prediction model produces better results in terms of precision, responsiveness, precision and false positive rate (FPR). In the modern day, Autism Spectrum Disorder (ASD) is gaining some momentum quicker than ever. Detecting signs of autism by screening tests is very costly and time consuming. Autism can be identified faster by combining artificial intelligence and Machine Learning (ML). 05 30 2020 675 679 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A1997.059120 https://www.ijrte.org/portfolio-item/A1997059120/ Assistant Professor, CSE Department, Easwari Engineering College, Chennai, Tamil Nadu. Rajasekaran G Pradeep Kumar KCSE Department, Easwari Engineering College, Chennai, Tamil Nadu. Rithik R CSE Department, Easwari Engineering College, Chennai, Tamil Nadu. Pradeesh L CSE Department, Easwari Engineering College, Chennai, Tamil Nadu. Nowadays in the 21st century, Transportation has become a mandatory aspect of every individual’s life. There is a constant requirement for easy, cheap and accessible modes of transportation everywhere, especially in metropolitan areas. Bikes are becoming the most affordable and efficient way of getting from point A to point B. Commuters who can’t afford their own personal vehicles and in case their personal vehicle is not readily accessible to them struggle to get their commuting needs done. Tourists who need temporary transportation access can make use of bike-sharing systems for fulfilling their needs. The current system has fixed points or stations where the bikes need to be dropped off. We propose a system that does not involve any stations for the bikes and rather the user can drop off the bike at any location of his choosing and the payment process can be furnished on the mobile application. 05 30 2020 680 684 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A1998.059120 https://www.ijrte.org/portfolio-item/A1998059120/ Computer Science Department, Faculty of Science and Defense Technology, Universiti Pertahanan Nasional Malaysia. Mohd Fahmi Mohamad Amran* Yamunah Kathiravan Computer Science Department, Faculty of Science and Defense Technology, Universiti Pertahanan Nasional Malaysia. Noor Afiza Mat Razali Computer Science Department, Faculty of Science and Defense Technology, Universiti Pertahanan Nasional Malaysia. Raja Mohd Tariqi Raja Lope Ahmad Computer Science Department, Faculty of Science and Defense Technology, Universiti Pertahanan Nasional Malaysia. Zuraidy Adnan Computer Science Department, Faculty of Science and Defense Technology, Universiti Pertahanan Nasional Malaysia. Muhammad Fairuz Abd Rauf Computer Science Department, Faculty of Science and Defense Technology, Universiti Pertahanan Nasional Malaysia. Mohd Afizi Mohd Shukran Computer Science Department, Faculty of Science and Defense Technology, Universiti Pertahanan Nasional Malaysia. Web browsers may delete some files but it doesn’t delete everything. The purpose of private browsing is for users to browse private mode just as a standard browsing session would, but without storing any data such as log-in credentials or browsing history upon exit. A secure framework to secure the web browser artefacts is proposed to fulfil the requirements. In order to compare and contrast the different methods of artefacts encryption, a hybrid method was introduced; Base64 + AES on the prototype. The test systems were created by utilising virtual machines. The prototype was developed using C# language in Microsoft Visual Studio application that runs on Windows. To provide countermeasures, this research proposes an implementation of a third-party privacy application, called PRINDOW, to improve security in hiding a user's browsing activity. Every browsing session is recorded and scanned using the prototype. This method allows only the base requirements to be installed on the virtual machine for each file with the cryptographic method. This framework could theoretically enhance current practises by making slight changes to the web browser's application structure. 05 30 2020 595 598 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A2015.059120 https://www.ijrte.org/portfolio-item/A2015059120/ Assistant Professor, Department of CSE, Hyderabad, (Telangana), India *M. Sunitha Dr. T. Adilakshmi Head & Professor, Department of CSE, Hyderabad, (Telangana), India Mir Zahed Ali M.Tech Student, CSE, Hyderabad, (Telangana), India. Music recommendation systems are playing a vital role in suggesting music to the users from huge volumes of digital libraries available. Collaborative filtering (CF) is a one of the well known method used in recommendation systems. CF is either user centric or item centric. The former is known as user-based CF and later is known as item-based CF. This paper proposes an enhancement to item-based collaborative filtering method by considering correlation among items. Lift and Pearson Correlation coefficient are used to find the correlation among items. Song correlation matrix is constructed by using correlation measures. Proposed method is evaluated on the benchmark dataset and results obtained are compared with basic item-based CF. 05 30 2020 1543 1553 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A2016.059120 https://www.ijrte.org/portfolio-item/A2016059120/ civil engineering department, L. D. College of Engineering, Ahmedabad, India. MOHDZUNED M. SHAIKH* Dr. PRADEEP P. LODHA civil engineering department, VGEC, Ahmedabad, India. Climate change is an inevitable phenomenon that has lead the earth to evolve from an ice age to present era. Due to rise in temperature, rate of Evapotranspiration is increasing that leads to higher rate of maximum event. This raises the need to analyse the watersheds which shows considerable vulnerability towards climate change. SWAT model is chosen to simulate the analysis which is a semi-distributed hydrological model. The model run has been carried out for 35 years where model outputs are compared with the observed values of Evapotranspiration. Model is successfully validated for five years giving NSE as 0.89. Calibrated & Validated model shows that average values of Evapotranspiration & Surface Runoff in mm against 882mm of rainfall are 303mm & 285mm respectively. A Hathmati watershed of western India is taken to demonstrate the work. 05 30 2020 599 602 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A2019.059120 https://www.ijrte.org/portfolio-item/A2019059120/ B.Tech, Computer Science , Srm Institute Of Science And Technology Awinash Kaushal Akhilesh Gaur B.Tech, Computer Science , Srm Institute Of Science And Technology Dr. E. Sasikala Associate Professor, Department Of Computer Science,Srm Institute Of Science And Technology With evolving technology in the field of automation, the implementation of the word “Smart” on the equipments we use in our day to day life has become a sort of a fashion trend among young researchers. Smart Homes and their development are sky-rocketing in reference to controlling daily objects using voice/gesture/apps, paths which are a free flow of development which researchers tend to be inclined to. But intricate care is also given towards using this technology for developing security and safety systems. Safety and security systems are very important in daily life as they tend to be very helpful in stopping crime. Safety and Security will be achieved by a three-layer security system includes a RFID based detection system and Face Detection. This article gives intricate details on a novel Home security system implementing automation and Internet of Things. 05 30 2020 1009 1014 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A2020.059120 https://www.ijrte.org/portfolio-item/A2020059120/ Department of Technology and design of leather goods, Faculty Technology of light industry and design, Prof. Umida Mirzarahimovna Maksudova The article presents the results of the analysis of progressive innovative methods for the production of nonwoven cushioning materials. Methods for the formation of canvases, types and methods of producing nonwoven webs are determined, a classification of methods for the manufacture of nonwoven materials, which depends on the type of feedstock and the technology for the formation of nonwoven webs, first of all, the method of fixing fibers, is proposed. 05 30 2020 1333 1335 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A2031.059120 https://www.ijrte.org/portfolio-item/A2031059120/ Associate Professor, CSE Department, Easwari Engineering College, Chennai, India Buvaneswari S Tanishka Raghu CSE Department, Easwari Engineering College, Chennai, India Saranraj S CSE Department, Easwari Engineering College, Chennai, India Wireless communication has become a basic utility in our day to day life such that it becomes a fundamental of our lives and this communication uses the radio spectrum for data transfer. There are issues in using the radio spectrum they are capacity, efficiency, availability and security. The usage of Wi-Fi also causes damage to the ecosystem such as flora and fauna.The defects of the Wi-Fi technology has given birth to the concept of Li-Fi (Light Fidelity) technology. Li-Fi is an advanced technology. This project is concise to vehicle to vehicle communication for avoiding road accidents. We use the ultrasonic sensor, gas sensor, vibration sensor, LCD display, Li-Fi transmitter and receiver. In case of an abnormal condition in the front vehicle, the vehicle at the back will be intimated and will stop on the second. For future enhancement, Li-Fi can be implemented in class rooms where data stored in the server is transmitted through LED lights attached in the ceilings of the classroom and the data can be received through Li-Fi receiver(dongle) which is present with each student in the classroom. 05 30 2020 1080 1084 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A2036.059120 https://www.ijrte.org/portfolio-item/A2036059120/ Research Scholar , Department of Civil, BIT Sindri, Dhanbad , Jharkhand , India Niket Kumar Mishra* Dr.M.K. Mishra Department of Chemistry, BIT Sindri, Dhanbad , Jharkhand , India Prof J.P. Singh Department of Civil, BIT Sindri, Dhanbad, Jharkhand , India Red soil is not commonly used alike other kind of soils in engineering field. So, a trial is created to stabilize the red soil by adding potassium hydroxide treated polypropylene fibers. This project work aims to search out the effect of addition of 0%, 0.25%, 0.5%, 0.75%, 1%, 1.25% treated polypropylene fibers to stabilize the red soil. Its consistency properties, compaction properties, and strength parameter are tested. In this project the results of addition of treated polypropylene fiber is investigated and is compared therewith of the untreated red soil. The testing program was conducted in two phases. Within the first phase, the physical, and chemical engineering properties of the red soil samples were studied by conducting Specific gravity, Grain size distribution, Liquid limit, Plastic limit, UCS and CBR Tests. Within the second phase of the test program, red soil was mixed with 0%, 0.25%, 0.5%, 0.75%, and 1% of treated polypropylene fiber as percentage of dry weight of red soil. After mixing different percentage of polypropylene fiber and conducting various tests we ought to observed that the value of UCS was increased by 93.12% at 0.75% PP fiber, which makes clear that higher load can be beared after adding it. The value of MDD was also increased by 3.3 %. The soaked CBR value has been increased from 4.24% to 6.37% with 0.75% of polypropylene fiber by which it’s cleared that it can be used for pavement in areas where water table is high. Unsoaked CBR value has been increased from 8.32% to 11.06% with 0.75% of polypropylene fiber.Which make clear that we can increases the slope of pavement for stability of slope and also reduce the thickness of pavement in highway and railway which reduces the cost of construction.So, we observed that 0.75 % of treated polypropylene fiber can be used to stabilize the red soil. 05 30 2020 866 870 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A2066.059120 https://www.ijrte.org/portfolio-item/A2066059120/ Department of Management, Amrita Vishwa Vidhyapeetham, Kochi, India. Athira K* Dr Dhanya M Department of Management, Amrita Vishwa Vidhyapeetham, Kochi, India. Sinita S Ashok Department of Management, Amrita Vishwa Vidhyapeetham, Kochi, India. The cosmetic industry is one of the major emerging trends in the present world. People are very keen on purchasing cosmetic products, and at the same time, they are very conscious in choosing the right cosmetic items. While making their purchase decisions, customers refer to previous online reviews and the ratings given for that particular product by those who have already purchased, which helps them to get a clear idea about that product. This research paper has focused on looking at the indicators that make the customer's satisfied or dissatisfied towards the purchase-related decisions of cosmetics. Text analysis of the online reviews and the ratings given by customers from the leading e-commerce websites have been analyzed in this paper. The present study focused on understanding some cosmetics attributes that lead to customer satisfaction and dissatisfaction using online reviews. The commonly used attributes from the online text reviews were identified and classified on the polarity basis through the text mining analysis and hence finding out the buying pattern of the customers on cosmetic products 05 30 2020 904 908 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A2071.059120 https://www.ijrte.org/portfolio-item/A2071059120/ Department of Computer Science, The Bhawanipur Education Society College, Kolkata, India. Shawni Dutta Samir Kumar Bandyopadhyay* Academic Advisor, The Bhawanipur Education Society College, Kolkata, India. Stock market price prediction is an inspiring problem domain of financial sector as it involves several factors and drives people towards a complex problem solving approach. Financial markets are one of the key points of any country economy. Researchers have been working over several years on stock market prediction which is an interesting problem in itself since a number of variables are involved for prediction. In this study, an extensive review of existing techniques dedicated to stock market forecasting is carried out. A comparative analysis of the existing techniques, mentioning methodologies along with the future direction also provided. 05 30 2020 1015 1021 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A2083.059120 https://www.ijrte.org/portfolio-item/A2083059120/ Professor in Kumaraguru College of Technology, Coimbatore, Tamilnadu, India A Nirmal Kumar Mr. N. Deepak Innovation Manager, Forge, Tamil Nadu, India. Ashwini Metri Innovation Manager, Forge, Tamil Nadu, India. The important challenge faced by developing smart cities is the processing of waste materials. The increasing amount of WEEE (Waste of Electrical and Electronic Equipment) makes their disposal a difficult situation to handle. WEEE is an economical instrument as the wastes consists more of key metals which are economically valuable. Due to separation of different types of key metals available and the restoration of the key metals being difficult the disposal of WEEE becomes hassle. The aim of this paper is to separate the key metals from the waste, weigh them and credit the corresponding amount to the particular citizen who disposes the waste. 05 30 2020 943 946 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A2086.059120 https://www.ijrte.org/portfolio-item/A2086059120/ Information Technology Pimpri Chinchwad College of Engineering, Pune, India Prof. Rohini Pise Vaishnavi Swami Information Technology Pimpri Chinchwad College of Engineering, Pune, India Monika Hajgude Information Technology Pimpri Chinchwad College of Engineering, Pune, India Swamini Godse Information Technology Pimpri Chinchwad College of Engineering, Pune, India Kaveri Thombare Information Technology Pimpri Chinchwad College of Engineering, Pune, India Blockchain technology is one the emerging technology today. Using blockchain the primary goal that is achieved is security. Along with security many other aspects can be achieved using blockchain. Blockchain is nothing but a chain of blocks which are connected by hashing. We can see that every new technology has become a part of our life. This technology is proving to be helpful in all the fields like education, agriculture, business, government and many more. We can also understand how beneficial it is, as it saves the time, money and human power. But this never-ending technology is lacking to provide security. The Indian Police Department has replaced the manual system with the centralized online process to register the complaint. There are many malpractices in resolution of complaints. So, to avoid them a system is proposed which helps complainer to track the complaint, get ongoing details, and enforce police officers to solve the complaints within stipulated time to avoid unnecessary delay. The main objective of this system is to provide a method to secure the FIR system using blockchain technology. The principal components of blockchain technology viz. security, transparency, decentralization, immutability prove to be helpful for securing this digitalized process. The system uses transparency of blockchain technology as the user can track the complaint at any time. The system uses hashing to provide immutability so that no one can tamper the data entered by the complainer. Smart contracts are used to avoid delay in solving the case. This will avoid malpractices and provide satisfiable results. 05 30 2020 973 976 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A2099.059120 https://www.ijrte.org/portfolio-item/A2099059120/ School of Computer Science and Engineering, Vellore Institute of Technology (VIT University), Chennai, India. Samriddhi Verma* Dr. Nithyanandam P. School of Computer Science and Engineering, Vellore Institute of Technology (VIT University), Chennai, India. The number of internet users has increased exponentially over the years and so have increased intrusive activities significantly. To detect an intrusion attack in a system connected over a network is one of the most challenging tasks in today’s world. A significant number of techniques have been developed which are based on machine learning approaches to detect these intrusion attacks. Even though these techniques are good, they are not good enough to detect all kinds of attacks. In this paper, the analysis of different machine learning algorithm will be performed on the NSL-KDD dataset with pre-processing steps like One-hot encoding, feature selection and random sampling to use in different machine learning models to find the best performing model to detect these attacks. The attacks are from the datasets are classified into four types of attacks: Probe, DoS, U2R, R2L while the non- attack is the Normal. The dataset is in two parts: KDD-Train and KDD-Test. The dataset is trained and tested to find accuracy and understand the performance of different machine learning algorithms and compare them. The Machine Learning algorithms used are Naive Bayes Classifier, Decision Tree Classifier, Random Forest Classifier, K-Neighbours Classifier, Logistic Regression, SVM Classifier, Voting Classifier. These techniques are compared according to their capability to detect the attacks. This comparison will help to find the algorithm which would work the best to detect different kinds of intrusion attacks. 05 30 2020 1894 1899 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A2127.059120 https://www.ijrte.org/portfolio-item/A2127059120/ Professor, Department of Computer Science and Engineering, Marri Laxman Reddy Institute of Technology and Management, Dundigal, Hyderabad, India. * Dr.A.Annamalai Giri A. Gayathri Research Scholar, Department of Electrical and Electronics, Annamalai University, Tamilnadu, India, Dr. E. Mohan Professor, Department of Computer Science and Engineering, Lord Venkateshwaraa Engineering College,Kanchipuram,Tamilnadu,India, The aim of this paper is to affirm particular persons as pointed out with aid of their claws. We come up with a method to get rid of Finger Texture (FT) feature of the twain finger depiction (middle, annular) from a depressed intention using appropriate LBP strategy for fist image. The application of Inner-Knuckle-Print (IKP) in biometric authentication is the prospective recognition taskk. The exclusive attribute of the IKP provide us the prerequisite for significant validation. In the interim IKP filtering transform, the copy of the picture generated by the scanner will be partly exclusive. The article introduce ANN for adequately regulate strategy to IKP authorization. By applying the Back-Propagation technique, the method harmonize IKP and disclose them to a unique proficient client. 05 30 2020 1865 1868 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A2129.059120 https://www.ijrte.org/portfolio-item/A2129059120/ Department of Computer Science, Sukkur IBA University, Pakistan. Murk Chohan* Adil Khan Department of Computer Science, Sukkur IBA University, Pakistan. Rozina Chohan Department of Computer Science, Shah Abdul Latif University, Khairpur, Pakistan. Saif Hassan Katpar Department of Computer Science, Sukkur IBA University, Pakistan Muhammad Saleem Mahar Department of Computer Science, Sukkur IBA University, Pakistan. [Context] Plants play an essential role in climate change, agriculture industry and a country’s economy. Thereby taking care of plants is very crucial. Just like humans, plants are effected by several disease caused by bacteria, fungi and virus. Identification of these disease timely and curing them is essential to prevent whole plant from destruction. [Objective] This paper proposes a deep learning based model named plant disease detector. The model is able to detect several diseases from plants using pictures of their leaves. [Methodology] Plant disease detection model is developed using neural network. First of all augmentation is applied on dataset to increase the sample size. Later Convolution Neural Network (CNN) is used with multiple convolution and pooling layers. PlantVillage dataset is used to train the model. After training the model, it is tested properly to validate the results. [Results] We have performed different experiments using this model. 15% of data from PlantVillage data is used for testing purpose that contains images of healthy as well as diseased plants. Proposed model has achieved 98.3% testing accuracy. [Conclusion] This study is focused on deep learning model to detect disease in plant leave. But, in future model can be integrated with drone or any other system to live detect diseases from plants and report the diseased plants location to people so that they can be cured accordingly. 05 30 2020 909 914 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A2139.059120 https://www.ijrte.org/portfolio-item/A2139059120/ Bachelors Degree, Computer Science and Engineering at Universal College of Mumbai University. Mr.Jeetvan Shah Mr.Vikas Salunkhe Bachelors Degree, Computer Science and Engineering at Universal College of Mumbai University Dr.Jitendra Saturwar Professor and Head of Department, Computer Science and Engineering at Universal College of Engineering. Mr.Omkar Parab Bachelors Degree, Computer Science and Engineering,Universal College of Mumbai University System that marks attendance is software for stu-dents studying in different institutes which can also be used in companies the knowledge is stored in Admin device who takes attendance , the scholar user can give attendance in their respective classes before entering the category . This system will also be beneficial in calculating eligibility criteria of attendance of a student. The aim of developing such a system is to computerize the tradition way of taking attend-ance. Another purpose for developing this software is to use voice bio-metrics which give authentication of attendance us-ing very small data size and generate the report at the top of the session with the help of automated system. The scope of the project is that the device on which the software is in-stalled and therefore the voice authentication is completed , that is the system is developed as a Python application with firebase as a database, and it will work for a any teacher or faculty. Afterwards the program will be able to be embedded in a device. 05 30 2020 1085 1087 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A2147.059120 https://www.ijrte.org/portfolio-item/A2147059120/ Student ,Bachelor of Engineering, Electronics and Telecommunication, Pimpri Chinchwad College of Engineering Nigdi, Shridhar D. Pagar* Shivani J. Pote Student ,Bachelor of Engineering, Electronics and Telecommunication, Pimpri Chinchwad College of Engineering Nigdi Ankush S. Anmulwar Student ,Bachelor of Engineering, Electronics and Telecommunication, Pimpri Chinchwad College of Engineering Nigdi Mrs. Ashwini S. Shinde Assistant Professor, Department of Electronics & Telecommunication, Pimpri Chinchwad College of Engineering Nigdi Driving a vehicle or a car has become tedious job nowadays due to heavy traffic so focus on driving is utmost important. This makes a scope for automation in Automobiles in minimizing human intervention in controlling the dashboard functions such as Headlamps, Indicators, Power window, Wiper System, and to make it possible this is a small effort from this paper to make driving distraction free using Voice controlled dashboard. and system proposed in this paper works on speech commands from the user (Driver or Passenger). As Speech Recognition system acts Human machine Interface (HMI) in this system hence this system makes use of Speaker recognition and Speech recognition for recognizing the command and recognize whether the command is coming from authenticated user(Driver or Passenger). System performs Feature Extraction and extracts speech features such Mel Frequency Cepstral Coefficients(MFCC),Power Spectral Density(PSD),Pitch, Spectrogram. Then further for Feature matching system uses Vector Quantization Linde Buzo Gray(VQLBG) algorithm. This algorithm makes use of Euclidean distance for calculating the distance between test feature and codebook feature. Then based on speech command recognized controller (Raspberry Pi-3b) activates the device driver for motor, Solenoid valve depending on function. This system is mainly aimed to work in low noise environment as most speech recognition systems suffer when noise is introduced. When it comes to speech recognition acoustics of the room matters a lot as recognition rate differs depending on acoustics. when several testing and simulation trials were taken for testing, system has speech recognition rate of 76.13%. This system encourages Automation of vehicle dashboard and hence making driving Distraction Free. 05 30 2020 1022 1027 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A2148.059120 https://www.ijrte.org/portfolio-item/A2148059120/ Senior technical sales/marketing Engineer at GMMCO Limited (Caterpillar Inc. dealer), a part of CK Birla group of industries Mr. Pyla Venkata Ganesh Naga Hanuma Akhil Ms. Supraja Madiraju Senior technical service engineer at GMMCO Limited (Caterpillar Inc. dealer), a part of the CK Birla group of industries. Mr. Raghavendra Ravi Kiran K Assistant Professor in the Department of Mechanical Engineering at Amrita University, Bangalore, India. Ms. Y P Deepthi Assistant Professor in the Department of Mechanical at Amrita University, Bangalore, India. In today's business scenario, technology plays an important role in any industry. Construction Equipment and the mining industry play a major role in the success of any developing country. These machines and crushers facilitated the construction companies with equipment and material for completion of major government projects such as the Kaleswaram Lift irrigation scheme project evaluating 1.2 Lakh crores and ongoing projects like Polavaram project with 48 open gates. In this paper, end to end survey has been implemented by deliberate fieldwork to stone crushers and quarries with a questionnaire analyzing the technical disparities of machines, premium and non-premium market share and various mining industries in Stone crushers segment. The calculations of the data collected have been graphically represented. The paper also gives a detailed view of the marketing strategies to be adopted for the sale of Excavators and Wheel Loaders in stone crushers. In this study, the sale of Excavators and Wheel loaders at different locations of Telangana state has been investigated and optimized. The data collected from different districts were analyzed using Porter's Generic strategies and an action plan is derived which will be used to enhance the market share of the company. 05 30 2020 947 951 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A2163.059120 https://www.ijrte.org/portfolio-item/A2163059120/ Professor and Head. Department of Computer Science and Engineering , Sri Shakthi Institute of Engineering and Technology, Coimbatore, India. Dr.K.E. Kannammal* P.Bharath kumar Department of Computer Science and Engineering, Sri Shakthi Institute of Engineering and Technology, Coimbatore, India. A.M. Keerthi Department of Computer Science and Engineering, Sri Shakthi Institute of Engineering and Technology, Coimbatore, India. R. Mahalakshmi Department of Computer Science and Engineering, Sri Shakthi Institute of Engineering and Technology, Coimbatore, India. Mohammed Rafi Department of Computer Science and Engineering, Sri Shakthi Institute of Engineering and Technology, Coimbatore, India. There are so many different types of applications that deal with various sectors of augmented reality, that provides augmented facility for learning. But there is no particular augmented reality software that is designed to detail out information of the interior parts of the human body with its organs, thus we have initiated and designed an augmented reality application that shows all the information and 3D Models about the interior organs of the human body, we need to know about with the help of some special markers present physically in every iconic spot. This information displayed visually is dynamically maintained and also provides the Students with a 3D visual of the Human organs, where the students will be given an application with several pictures for visualizing the 3D model of the organs with its interior parts. This could greatly help the students to gain knowledge about body parts by using mobile phone and also this will help the students to increase their memory power by visualizing them. 05 30 2020 925 928 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A2165.059120 https://www.ijrte.org/portfolio-item/A2165059120/ is currently working as assistant professor ,Electronics and Instrumentation Engineering, Kongu Engineering College, Erode, India. Mr.M. Madhanmohan A. Akshaya is currently working as assistant professor ,Electronics and Instrumentation Engineering, Kongu Engineering College, Erode, India. E. Anjali is currently working as assistant professor ,Electronics and Instrumentation Engineering, Kongu Engineering College, Erode, India. A. Dharshinidevi is currently working as assistant professor ,Electronics and Instrumentation Engineering, Kongu Engineering College, Erode, India. V. Harish is currently working as assistant professor ,Electronics and Instrumentation Engineering, Kongu Engineering College, Erode, India. In India, textile mills occupy a vital role in exporting the quality materials and offering above 35 million people employment opportunities. In India Textile mills run over 24x7, siders working inside covering area of 500 meters working in the spinning process runs continuously to monitor and set right the yarn breakage instantly to minimize the production loss. During the spinning process, siders need to monitor around more than 2000 spindles at every instant of time, makes them restless and leads to the unproductive work due to continuous walk to cover the entire spindle area even though the yarns in many of the spindles is unbroken. Due to this, the efficiency of the sider, as well as production and its quality, is affected. To avoid this, prototype model developed with IR sensors arrangement in each spindle to monitor the broken yarn and shares the broken yarn spindle information to the respective sider through the android device and take the sider to the particular spindle location to set right the yarn through line follower robot. The output of the sensor continuously support to monitor the status of yarn as soon as it is noticed,Through android devices linked via cloud computing make the sider to have productive work in set right the yarn with very less effort. In this paper, the efficiency of the spinning mills is improved and eradicates continuous manual monitoring of yarn breakages by siders, reduces their time and walking distance per shift through integrating of simple IR sensors through cloud computing. 05 30 2020 981 985 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A2167.059120 https://www.ijrte.org/portfolio-item/A2167059120/ School of Computing and Information Technology, REVA University, Bengaluru, Karnataka, India. Vinod A. M Sathish G. C Associate Professor, School of Computing and Information Technology, REVA University, Bengaluru, Karnataka, India. The exponential rise in internet technology and online social media networks have revitalized human-being to connect and socialize globally irrespective of geographical and any demographic boundaries. Additionally, it has revitalized business communities to reach target audiences through social media networks. However, as parallel adverse up-surge the ever-increasing presence of malicious users or spam has altered predominant intend of such social media network by propagating biased contents, malicious contents and fraud acts. Avoiding and neutralizing such malefic users on social media network has remained a critical challenge due to gigantically large size and user’s diversity such as Facebook, Twitter, and LinkedIn etc. Though exploiting certain user’s behavior and content types can help identifying malicious users, majority of the existing methods are limited due to confined parametric assessment, and inferior classification approaches. With intend to provide spam profile detection system in this paper a novel heterogeneous ensemble-based method is developed. The proposed model exploits user profile features, user’s activity features, location features and content features to perform spam user profile detection. To ensure optimality of computational significances, we applied multi-phased feature selection method employing Wilcoxon Rank Sum test, Significant Predictor test, and Pearson Correlation test, which assured retaining optimal feature sets for further classification. Subsequently, applying an array of machine learning methods, including Logistic regression, decision tree, Support Vector Machine variants with Linear, Polynomial and RBF kernels, Least Square SVM with linear, polynomial and RBF kernels, ANN with different kernels, etc we constituted a robust ensemble model for spam user profile classification. Simulations revealed that the proposed ensemble classification model achieves accuracy and F-score higher than 98%, which is the highest amongst major works done so far. It affirms suitability and robustness of the proposed model for real time spam profile detection and classification on social media platforms. 05 30 2020 1028 1039 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A2179.059120 https://www.ijrte.org/portfolio-item/A2179059120/ Professor CGC, Technical Campus,Jhanjeri Dr.Manu Raj Moudgil Dr.Anil Kumar Lamba Professor, CGC, Technical Campus,Jhanjeri Er.Priya Gupta Assistant Professor, ACET, Barnala Cloud Computing has a several advantages, but it also carries additional issues like security, application security, virtualization security, authentication, access control and identity management. This paper is focusing on the current research relating on the cloud computing. This paper visualizes and deals on the various areas of security parameters in the cloud computing which includes Risk Management, Framework, Compliance, Interoperability, Lifecycle Management, Internet access Security, Data Centre Operations, Business Continuity, Incident Response, Key Management and Encryption, Access Management and identity, Dynamic access Security and Static Access Security and a lot more. In this paper we use various assessments and classification results to clear the similarities, also to exploring the various differences in the architectural methods of the cloud computing and further to determine the arears demanding with research. This paper provides findings and the assessments which can help the researcher to analysing the finest scenario for designing a well secured environment of cloud computing. 05 30 2020 871 877 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A2186.059120 https://www.ijrte.org/portfolio-item/A2186059120/ Department of Electronics Engineering,Yeshwantrao Chavan college of Engg, Nagpur,India Shweta Hajare* Monica Kalbande Department of Electronics Engineering,Yeshwantrao Chavan college of Engg, Nagpur,India Tejswini Panse Department of Electronics Engineering,Yeshwantrao Chavan college of Engg, Nagpur,India Pravin Dakhole Department of Electronics Engineering,Yeshwantrao Chavan college of Engg, Nagpur,India In VLSI technology, designers concentrations is on area required and on performance of the device. In this design power consumption is one of the major concerns due to increase in chip density, continuous and decline in size of CMOS circuits and frequency at which circuits are operating. High-speed divider is an significant issue of high-speed computing. This paper presents quaternary division algorithm .This algorithm involves detect zero circuit designed with transmission gate. This proposed algorithm is faster than binary division algorithm as well as radix 4 SRT division algorithm in terms of speed & power. This type of fast divider can be used for the design of Arithmetic Logic unit. 05 30 2020 992 995 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A2199.059120 https://www.ijrte.org/portfolio-item/A2199059120/ Chief Researcher of the Educational and Methodological Laboratory Music ComputerTechnologies of the Herzen State Pedagogical University of Russia, St. Petersburg, Russia. Irina Gorbunova* Konstantin Plotnikov Research Scientist and Lector at the Educational and Methodical Laboratory Music Computer Technologies of the Herzen State Pedagogical University of Russia, St. Petersburg, Russia Abstract. Music computer technologies is an independent section of modern information technology, the software and hardware complex of which allows performing operations with sound, creating and editing music material, forming and improving the music and educational process. The development of a methodology for mastering this toolkit, as well as the developing researchers’ international interaction, pose a problem for pedagogy to develop and use a unified terminological apparatus that most accurately and fully characterizes this phenomenon. The article proposed by the authors aims to identify opportunities for generalizing terminological developments that exist in this area in various research and pedagogical schools and traditions. 05 30 2020 1366 1373 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A2208.059120 https://www.ijrte.org/portfolio-item/A2208059120/ Department of Petroleum & Energy Studies, Meerut College, C.C.S. University, India. Shaikh Shamser Ali Dr Ruchi Tyagi Associate Professor, Department of Petroleum & Energy Studies, Meerut College, C.C.S. University, India. With the advancement in technology and the need for development by both developed and developing countries, energy plays a vital role in the whole process of sustainability. India’s security score has been declining since 2000 due to decrease in energy storing capacity, scarcity in primary energy supply sources and to much dependency on import. The World Energy Council’s latest Energy Trilemma Index covering 128 countries shows how energy policies are changing around the world. India’s energy policies and infrastructure are rated among the worst in the world with 109th rank with overall score of 50.3. India scores high on Energy Security but struggles on sustainability and equity indicators giving clear indication on revisiting ECBC 2017. This paper reviews and compares ECMs between two versions of the code titled ECBC 2007 and ECBC 2017 and identify the role of human behavior as a missing link. This paper suggest Low Cost Energy Conservation Measure focused on sustainability and environment. 05 30 2020 1799 1806 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A2212.059120 https://www.ijrte.org/portfolio-item/A2212059120/ department of Commerce, Sree Vidyanikethan Engineering College, Tirupati, India T Kusuma* Dr Venu Gopal Chowdary Bangaluru school of management, GITAM university Bengaluru Camous, Bengaluru, India. Mutual funds play a crucial role in financial sector for small-scale and large-scale investors. Within the Indian scenario, there is a need to define criteria to guide the investors in selection between small-caps and mid-caps mutual funds. Although small-caps provide there is always a question of higher market risks compared to mid-caps. So, the work emphasizes on analysis performances of Small caps in comparison with mid-caps that would certainly support decision-making. In the present work a comprehensive assessment of existing mutual funds that involves small and mid-cap with respect to Indian scenario is presented and their performance in the market for the past ten years is analyzed. The study analyses the fund’s performance by considering parameters like market risk, momentum, expenses, size and value. The persistence and decision-making of the investor are discussed with respect to the small and mid-cap funds. In this regard, we have considered the best and worst-performing small and mid-cap funds according to their returns in a overall span of more than 3 years. A comparative analysis between the decision making parameters that are performing and underperforming during this period are considered. In this study, small-caps funds like HDFC small-cap fund, Kotak, DSP small Cap fund and Franklin India Small MF and in parallel, mid-cap funds including Kota Emerging equity, DSP Midcap and Axis Midcap and Franklin India are considered 05 30 2020 1088 1091 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A2219.059120 https://www.ijrte.org/portfolio-item/A2219059120/ School of Computer Engineering & Technology, MIT World Peace University, Pune. Shivani A Patil MTECH Prof. Dr. Pradnya Kulkarni School of Computer Engineering & Technology, MIT World Peace University, Pune. The term Diabetic retinopathy is the serious issue that is caused by the diabetes, which affects the eyes that may lead to blindness. DR takes place due to damaged arteries and veins that are a part of the fundus of the eye. Although DR can be prevalent now days, its prevention remains challenging. Visual analysis of the funds and consideration of colour photographs Ophthalmologists directly examine the existence and severity of DR. This process is expensive as well as time consuming as there are huge number of diabetes affected people worldwide. The automatic Diabetic Retinopathy system is expanded to predict various related diseases that are analysed. The proposed methodology uses EYEPACS dataset that consists on 35,126 fundus images. These images are pre-processed and sent to neural network that detects type of DR. CNN detects clusters of pixels that are damaged in the macula region and in turn evaluates the overall damaged area in the macula from the retinal images. The retinal fundus images present structural and impulsive noise. 05 30 2020 952 955 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A2223.059120 https://www.ijrte.org/portfolio-item/A2223059120/ Research Scholar,CSE Department, K.L.N. College of Information Technology, Pottapalyam,Sivagangai Dist. PL. Prabha* Dr.M. Parvathy Professor , CSE Department, Sethu Institute of Technology, Pulloor,Kariapatti Text summarization generates an abstract version of information on a particular topic from various sources without modifying its originality. It is essential to dig information from the large repository of data, thereby eliminating the irrelevant information. The manual summarization consumes a large amount of time and hence an automated text summarization model is required. The summarization can be performed from a single source or multiple sources. The Natural Language Processing (NLP) based text summarization can be generally categorized as abstractive and extractive methods. The extractive methods mine the essential text from the document whereas the abstractive methods summarize the document by rewriting. The extractive summarization methods rely on topics and centrality of the document. The abstractive techniques transform the sentences based on the language resources available. This paper deals with the study of extractive as well as abstractive strategies in text summarization. Overall objective of this paper is to provide a significant direction to the researchers to learn about different strategies applied in text summarization. 05 30 2020 1040 1044 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A2235.059120 https://www.ijrte.org/portfolio-item/A2235059120/ Department of Information Technology, Coimbatore Institute of Technology, Coimbatore, India. S. Poornima* S. Devi Department of Information Technology, Coimbatore Institute of Technology, Coimbatore, India D. Oviya Department of Information Technology, Coimbatore Institute of Technology, Coimbatore, India A.Suhana Taj Department of Information Technology, Coimbatore Institute of Technology, Coimbatore, India. G.Tamil Elakkiya Department of Information Technology, Coimbatore Institute of Technology, Coimbatore, India. Rainfall is one of the major livelihood of this world. Each and every organism in this universe need some of water to order to survive in its own living conditions. As rainfall is the main source of water and its need to agriculture is inevitable, there arises a necessity to analyze the pattern of the rainfall. The main aim of our paper is to predict the rainfall considering various factors like temperature, pressure, cloud cover, wind speed, pollution and precipitation. There are various ideas and new methodologies proposed in order to predict rainfall. But our proposed concept is based on machine learning because of its wide range of development and preferability nowadays. Among the various technologies built in Machine Learning (ML), Feed Forward Neural Network (FFNN) which is the simplest form of Artificial Neural Network (ANN) is preferred because this model learns the complex relationships among the various input parameters and helps to model them easily. Rainfall in our proposed model is predicted using different parameters influencing the rainfall along with their combinations and patterns. The experimental results depicts that the proposed model based on FFNN indicates suitable accuracy. 05 30 2020 1374 1377 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A2242.059120 https://www.ijrte.org/portfolio-item/A2242059120/ Department of Electrical and Electronics Engineering, Deemed University, Thanjavur, Tamil Nadu, India. Mr. P. Ramprasath Prof. MKNM. Sakthi Nagaraj Assistant Professor, Department of Electrical and Electronics Engineering, PRIST Deemed University, Thanjavur, Tamil Nadu, India. The existing years power structure is a big composite unified network that contains of n number of buses and hundreds of power plants. The placing of fresh positions or fixing of new generating unites executes many conservation and economic limitations. As an effect, the present transmission lines are more severely stressed than forever before and which in turn can leave power system exposed to instabilities. To continue safety of such systems, it is necessary to design appropriate procedures to expand power system safety and growth voltage stability limitations. In this project the conclusion of three FACTScontrollers – SVC, UPFC and TCSC on voltage stability are studied. The IEEE-14 bus system is simulated with continuation power flow feature of PSAT software. The benefit of this simulated model is to progress a simple, fast and appropriate procedure which can be applied efficiently to improve the voltage stability. 05 30 2020 1617 1621 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A2246.059120 https://www.ijrte.org/portfolio-item/A2246059120/ Department of Computer Science & Engineering and IT Chhattisgarh Swami Vivekanand Technical University, India. Dr. Upasana Sinha Mr. Vikas Dubey Department of Computer Science & Engineering and IT Chhattisgarh Swami Vivekanand Technical University, India. Semantic Search is a search technique that improves looking precision through perception the reason of the search and the contextual magnitude of phrases as they show up in the searchable statistics space, whether or not on the net to generate greater applicable result. We spotlight right here about Semantic Search, Semantic Web and talk about about exceptional kind of Semantic search engine and variations between key-word base search and Semantic Search and the benefit of Semantic Search. We additionally provide a short overview of the records of semantic search and its function scope in the world. 05 30 2020 1496 1501 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A2249.059120 https://www.ijrte.org/portfolio-item/A2249059120/ M Tech CSE-BD, School of Computing Science and Engineering, Vellore Institute of Technology, Chennai Deepika P R. Parvathi Associate Professor, School of Computing Science and Engineering, Vellore Institute of Technology, Chennai Social Networking media and Internet handles ample ranging of the datasets and that can be synthesised and casted up to demonstrate the patterns ,drifts and association related to the nature of the individual and intercommunications. The rapid development of the networking connections made it further intricated to gain the required facts and figures from the voluminous data. The recommendation systems are the gadgets that proposes the users help with their requirements. Various filtering methods are available with which blend of two or more such methods provide hybrid variety of recommendation. This paper proposes a personalized location based recommendation based on two models i.e. point of interest and place-user similarity model respectively to produce more accurate recommendations. The developed models are evaluated with precision and recall measures. 05 30 2020 1092 1094 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A2257.059120 https://www.ijrte.org/portfolio-item/A2257059120/ Director of Raj Corporate (Pvt) Ltd, Sri Lanka. Rajphriyadharshini Rajmohan Prof. Dato’ Dr. Md Gapar Md Johar Senior Vice President Research, Innovation, Technology and System of Management and Science University, Malaysia The study explored the research issue of factors in the adoption of the Internet of Things in the health care services of Sri Lanka. To address this issue, the study examined Four research objectives respectively Evaluation of the impact of the proposed technological acceptance determinants on adoption towards IoT in the healthcare system evaluation of the moderating effect of Provincial area, Gender, Age in adoption towards IoT in the healthcare system. By extending UTAUT2 with other significant variables, such as perceived creditability and attitude, this study brought the novel insights into consideration for further research. UTAUT2 argued that the most influential antecedent to adoption intention was performance expectancy. This study gave a new perspective to identify trust as an influential factor driving intention to adopt IoT technology. This study provided insights for companies, to understand better what the determinants of adopting IoT products are. The research suggests that increasing physician’s adoption towards IoT and healthcare organizations should create awareness of IoT products. This could be done in two comprehensive stages; first increase awareness among healthcare staff, which should be the focus on the way to bring business benefits to the organization. Secondly, awareness should be created among the patients, the final customers of IoT technology, which should be focused on enhancing both novelty and quality of IoT enabled healthcare products.However, the IoT technology is still in its early premature stage of development and requires an intense evangelization. To a certain extent, this research had identified the critical factors that impact adoption towards IoT in the healthcare industry in the Sri Lankan context. Then results were supported by the empirical study of the research and can be implemented both theoretical as well as managerial context to impose a radical change in the field of technology adoption of the healthcare industry. 05 30 2020 1095 1104 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A2260.059120 https://www.ijrte.org/portfolio-item/A2260059120/ Director of Raj Corporate, Management and Science University, Malaysia. Rajphriyadharshini Rajmohan Prof. Dato’ Dr. Md Gapar Md Johar Professor, Senior Vice President Research, Innovation, Technology and System of Management and Science University, Malaysia. The internet of things concept had infiltrated nearly every field of our life, however, its cutting edge impact in the healthcare industry has been momentous. With tremendous penetration of Mobile health, the functionality of IoT in the healthcare industry had drastically increased. In the research, a systemic literature review was conducted to study the impact of IoT applications in the healthcare industry by analyzing the current and future research work in the field, more focusing on security and privacy in health IoT devices and how it affects different levels of health care employees and consumers’ adoption towards IoT in the health care industry. The study reports research papers, which were included, based on the further filtering process by title, contents, and abstract. A total of 232 primary up-to-date studies were included in the review study. These papers were analyzed according to the research questions defined in the study. 05 30 2020 2110 2114 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A2261.059120 https://www.ijrte.org/portfolio-item/A2261059120/ Faculty Technology of light industry and Design, Tashkent Institute of Textile and Light Industry, Tashkent, Uzbekistan Assistent Atanafasov Muxiddin Raxmonovich* Prof. Ochilov Tulkin Ashurovich Faculty Technology of light industry and design, Tashkent Institute of Textile and Light Industry, Uzbekistan Prof. Nurbayev Rashit Xudayberdiyevich Faculty of textile and leather industry, Bukhara engineering technological institute, Uzbekistan Prof. Mansurova Munisa Anvarovna Faculty Technology of light industry and Design, Tashkent Institute of Textile and Light Industry, Tashkent, Uzbekistan Prof. Khalmatov Davronbek Abdalimovich The faculty of technology of printing, Tashkent Institute of Textile and Light Industry, Tashkent, Uzbekistan The article describes information about textile yarn with texture 20.0, which was obtained from the cotton yarn samples in the laboratory of "Spinning Technology" of the Tashkent Institute of Textile and Light Industry at the cotton processing plant in Akkurgan district of Tashkent region. Worked out in three different options, firstly, raw cotton was converted into fiber in the laboratory of the mill, and the quality indicators of the obtained sliver, wick and thread were studied in the modern equipment of the Uster Tester-5 in the Enterprise" Shovot tex", and were also studied the physic-mechanical properties of the threads in the laboratory" CentexUz" and proposed an optimal variant of the technological process for release 05 30 2020 2809 2812 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A2274.059120 https://www.ijrte.org/portfolio-item/A2274059120/ Assistant Professor, Department of Computer Science and Engineering, Rajalakshmi Engineering College, Chennai, India. Ms. A. Cibi Ramya D Student, Department of Computer Science and Engineering, Rajalakshmi Engineering College, Chennai, India. Ramya V Student, Department of Computer Science and Engineering, Rajalakshmi Engineering College, Chennai, India. Liver tumor is most common nowadays. Liver tumor segmentation is one of the most essential steps in treating it. We have chosen CT scan image for liver tumor diagnosis. Accurate tumor segmentation is done using computed tomography (CT) images. Since the manual identification is not that much accurate and time consuming, we go for active contour method. This automatic segmentation method is highly accurate and provides very less time for computation. The back propagation classifier method has a very good accuracy rate and a very less error rate and hence achieved the best result. The proposed method we used in this paper is back propagation classification algorithm for the detection of early and final stages of liver tumor. For the automatic segmentation, we use an active contour method to segment the liver and liver tumor to overcome the manual segmentation problem. This is an automatic method will help us to know whether the tumor is in benign or malignant stage. 05 30 2020 1807 1811 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A2279.059120 https://www.ijrte.org/portfolio-item/A2279059120/ Department of Computer Science and Engineering, New Horizon College of Engineering, Bangalore, India. S. Shanmuga Priya* Software testing is an inevitable phase in the Software Development Life Cycle (SDLC). It plays a vital role in ensuring the quality of the product. Testing can be performed on requirement, design and code. Traditional test case generation approaches majorly focuses on designing and implementation models, as a huge percentage of errors in the software are caused due to the lack of understanding in the early phases. So, it’s advisory to follow testing in the initial phase in SDLC as most of the errors/faults can be eliminated and can be prevented without disseminating to the next phase. So, testing must not be secluded to a single phase alone in SDLC. In software testing, test case generation is the fundamental and challenging part. The major purpose to design test case is to create set of tests that are valuable in validation. Due to the increase in software size, it’s not quite advisable to have the choice as manual testing to test the code as its error prone, complex and time consuming. Automation of testing would help the tester to test effectively and timely. Applications of new techniques improve the test process and cut down the tester’s effort. The proposed work presents a sandwich of black box and white box testing. Design-based testing, a black box approach is implemented, that aids in fixing the errors at initial phase. Unified Modeling Language (UML) Use case diagram, Activity diagram and Sequence Diagram are considered for designing. The code-based generation of test cases, is a white box testing approach, test coverage criteria Modified Condition/Decision Condition (MC/DC) has been used to ensure the maximum coverage of the code during testing phase for generating the test cases. The objective of this paper is to automate the generation of minimal number of test cases required to test a system with maximum coverage by removing the redundant test cases using MC/DC criterion. This present an idea to the beginners of the testing about minimal test cases they necessitate for testing their system. 05 30 2020 1266 1278 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A2280.059120 https://www.ijrte.org/portfolio-item/A2280059120/ Department of Computer Science, Ambo University, Ambo, Ethiopia Naol Bakala* With the advancement of technology and proliferation of computers in the country, the amount of Afaan Oromo language news documents produced increasingly which becomes a difficult task for news agencies to organize such huge collection of documents items manually. To solve this problem, researches is conducted using unsupervised machine learning python tools for Afaan Oromo news document clustering with low cost and best quality of clustering solution. In this research work focusing on k-means clustering analysis which produced better results as compared to the other cluster analysis both in terms of time requirement and the quality of the clusters produced. 05 30 2020 1279 1282 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A2284.059120 https://www.ijrte.org/portfolio-item/A2284059120/ Associate professor M.E., (Ph.D.) in RMK college of Engineering and Technology, Thiruvallur, India. Kannagi. V Aarthi. S Department of ECE in RMK College of Engineering and technology, Thiruvallur, India. Aishwarya S. S Department of ECE in RMK College of Engineering and technology, Thiruvallur, India. Devipriya G Department of ECE in RMK College of Engineering and technology, Thiruvallur, India. Hemadarshni H Department of ECE in RMK College of Engineering and technology, Thrivallur, India. Existing investigates on the spot pursue following spotlight either altogether on indoor or totally on outside by exploitation of various gadgets and strategies. This paper expects to follow a client position in each indoor and outside conditions by utilizing a solitary remote gadget with insignificant pursue blunder. RSSI (Received Signal Strength Indication) method alongside smoothing calculations is intended to cook this answer. The arranged RSSI-based pursue system is part into 2 principle stages, especially the normalization of RSSI coefficients and accordingly the separation together with position estimation of client area by reiterative trilateration. A low quality RSSI smoothing recipe is authorized to lessen the dynamic change of radio sign got from each reference hub once the objective hub is moving. Test estimations square measure distributed to examine the affectability of RSSI. The outcomes uncover the attainability of those calculations in concocting a great deal of right timeframe position watching framework. 05 30 2020 1554 1559 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A2287.059120 https://www.ijrte.org/portfolio-item/A2287059120/ Professor and Head, Department in Electrical and Electronics Engineering, VBIT, Hyderabad. K. Neelima A. Aditya Srikanta Sastry pursuing (B.E), Electrical and Electronics Engineering stream at Vignana Bharathi Institute of Technology (VBIT), Ghatkesar, Hyderabad. B. Kshithija pursuing (B.E), Electrical and Electronics Engineering stream at Vignana Bharathi Institute of Technology (VBIT), Ghatkesar, Hyderabad. K. Goutam pursuing (B.E), Electrical and Electronics Engineering stream at Vignana Bharathi Institute of Technology (VBIT), Ghatkesar, Hyderabad. G. Hima Chandra pursuing (B.E), Electrical and Electronics Engineering stream at Vignana Bharathi Institute of Technology (VBIT), Ghatkesar, Hyderabad. In the novel times, with the surge in use of power electronics, power quality with system efficiency is playing a symbolic role for the advancement of electric supply. The fundamental purpose of the electric utility is to provide a sinusoidal voltage at constant magnitude throughout the system. This objective is convoluted because of the loads present in the system which produce harmonic currents. Due to these harmonic currents, distorted voltages and currents are carried out which affect the reliability and efficiency of the system in several ways. The sinusoidal waveform produced by electric utilities is distorted due to harmonics and increased use of non-linear loads. The deterioration of the power quality and reliability of the power system is due to the presence of these harmonics in the power system. Hence, we need a proper analytical approach to study, classify and characterize the harmonics present in the system and develop a suitable and effective mitigation method to reduce the harmonics in the power system to standard limits of harmonics prescribed by the IEEE and IEC standards. The study of the level of harmonics present in the system, their causes and effects are known as harmonic analysis or harmonics study. Based on the observations of harmonic analysis we develop mitigation techniques to reduce these harmonics. One such method is the implementation of filters. By implementing harmonic filters, we mitigate the harmonics present in the system by providing a low impedance path. The methodological procedure behind effective design and implementation of filters is achieved by performing load flow analysis to obtain the system data and harmonic analysis to obtain data of harmonics present in the system. Based on the data obtained, the type of filter and the optimal placement of filter is decided to mitigate the harmonics. The mitigation of harmonics can report significant benefits for industries, data centers, etc. in terms of overall installation cost and protection against interruptions and equipment faults in the power system. The overall process of Harmonic analysis and mitigation techniques are performed using Mi-Power software. 05 30 2020 1283 1288 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A2290.059120 https://www.ijrte.org/portfolio-item/A2290059120/ Assistant Professor, CSE Department ,School Of Engineering ,Presidency University Thasni T* C. Kalaiarasan Associate Dean, School Of Engineering, Presidency University. Cloud Computing allows access to a public resource pool on demand and easy network connection for the same. Due to the popularity and profits of using Cloud Services, many organizations are moving to Cloud .So selecting a suitable and best Cloud Provider is a challenge for all the users. Many ranking approaches had been proposed for solving this multicriteria decision making problem like AHP, TOPSIS etc. But many of the works focused on quantitative QoS attributes .But qualitative attributes are also important in the case of many application scenarios where the user may be more concerned about the qualitative attributes. CSMIC has released Service Measurement Index attributes for effectively comparing the Cloud services. The comparison of Cloud Service providers based on SMI attributes which are qualitative in nature by using a ranking approach that handles fuzziness in the dataset is the objective of this paper. The proposed approach uses the MCDM algorithm called Technique for Order Preference by Similarity to ideal Solution and uncertainty is handled by Intuitionistic fuzzy values. The qualitative SMI attributes are used as criteria for ranking the Cloud Services. 05 30 2020 1289 1296 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A2292.059120 https://www.ijrte.org/portfolio-item/A2292059120/ Electronics Engineering Department ,Yeshwantrao Chavan college of Engg, Nagpur,India Monica Kalbande Shweta Hajare* Electronics Engineering Department,Yeshwantrao Chavan college of Engg, Nagpur,India Tejswini Panse Electronics Engineering Department,Yeshwantrao Chavan college of Engg, Nagpur,India Pravin Dakhole Electronics Engineering Department,Yeshwantrao Chavan college of Engg, Nagpur,India A Low density parity check (LDPC) code, have become most accepted error correction code for efficient and reliable communication due to a good performance. The VLSI implementation of LDPC decoder is a big challenge. Iterative message passing decoding algorithms propose excellent error correction performance but a large decoding complexity for different code lengths and code rates. The LDPC codes decoder also faced many difficulties such as small chip areas , reduced interconnect complexities, lower power dissipation. In this paper, the design of the of Quasi Cyclic(QC)LDPC decoder for the IEEE 802.11n standard with 1/2 code rate, 648coward length and sub-block size z =27 have been designed. Initially different iterative algorithms for LDPC decoding are discussed. The Fully parallel architecture of the LDPC decoder for IEEE 802.11n standard using Min Sum decoding algorithm (MSA)has been designed. Further, the design Quasi Cyclic(QC) LDPC decoder for IEEE 802.11n have been modified by using a Finite State Machine (FSM) to control the complete decoding process. 05 30 2020 1726 1731 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A2314.059120 https://www.ijrte.org/portfolio-item/A2314059120/ Instructor, College of Technology and Allied Sciences, Bohol Island State University – Calape Campus, San Isidro, Calape, Bohol, Philippines Evangelita A. Anino Technology education would require high quality, effective laboratory instruction which involves manipulation of instructional apparatuses. Instructional apparatuses provide students to experience the real field of work. However, due to its inadequacy in the electrical technology laboratory, the instructors experienced difficulty of providing the skills to the students particularly on motor control which involves complex designing and installation that needs a skillful and technically-knowledgeable person. In the interest of alleviating this problem, the researchers design an instructional apparatus that address the needs of the electrical technology students. This study aimed to assemble and assess the performance of the 3-Phase Alternating Current (AC) Induction Motor Sequential Controller and find out its effectiveness as an instructional apparatus. Moreover, it finds out its acceptability level in terms of performance, convenience of use, safety, assembly and cost. This was conducted in Bohol Island State University–Calape, Bohol in the Academic Year 2015-2016 for the improvement of instruction in electrical technology. The respondents of the study were the third year students of Bachelor of Science in Industrial Technology, major in Electricity and Technical Experts from BISU system. This study made use of experimental methods of research specifically one group pre-skill test and post-skill test design in developing the apparatus and testing its effectiveness in enhancing the skills of the students. The descriptive design was used in determining the acceptability level of the apparatus supplemented with observation guide to measure its performance level. The result of the study revealed that students’ performance using the apparatus was increased by 52.24%. The acceptability level of the apparatus was rated very high by the respondents, obtaining the average weighted mean of 3.62. The result showed that the apparatus is suitable to be utilized in the electrical technology as a tool for instruction. The researchers highly recommend utilizing the apparatus as a tool for instruction in electrical technology laboratories. 05 30 2020 2470 2474 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A2318.059120 https://www.ijrte.org/portfolio-item/A2318059120/ Professor at the Department of “Building Structures” of the Faculty of “Construction of Buildings and Structures” of the Tashkent Institute of Architecture and Construction, Tashkent, Uzbekistan. Mirzaev Pulat* Umarov Kadir the Chief Engineer of the “GEO BETON TRUST” Reinforced Concrete Products Plant, Tashkent, Uzbekistan. Mirzaev Shavkat Director of the Innovation Center at the Tashkent Institute of Architecture and Construction, Tashkent, Uzbekistan. The technology of manufacturing reinforced concrete structures of long-line systems of formwork-free shaping is widely used lately in construction industry in many countries. Using this technology, industrial construction can be carried out in accordance with the requirements of modern regulatory documents that allow projects to be developed individually, and production can be reoriented in a very short time in accordance with emerging needs. This means that on the same production line it is possible to produce various structural elements of buildings and structures. Also, this technology allows the production of structures according to a wide range of products that meet operational requirements, and increases the possibility of their use in design of buildings and structures with various architectural, planning and structural decisions. Prestressed hollow-core slabs of formwork-free shaping reinforced with high-strength wire reinforcement are widely used due to the simplicity of construction and their relatively low cost, as well as their high bearing capacity, large spans and better quality. The problem of their introduction into construction industry of Uzbekistan is that the issues of designing, manufacturing and using them in construction have not been studied. Besides, the production technology of such slabs is mostly associated with the construction in non-seismic areas, and the country does not have an appropriate regulatory framework for the possibility of slab designing and production. The aim of the study is to assess the strength and serviceability of hollow-core slabs of formwork-free shaping, designed on the basis of the proposed structural solution of the slab cross section and intended for construction in seismic areas. The results of slab calculations according to the accepted methodology and the results of control tests to assess the bearing capacity, crack resistance and rigidity of slabs according to the product range ordered by the customer for the use in construction in seismic areas are given. Graphs are proposed by which it is possible to determine the values of permissible loads on slabs of various lengths with appropriate reinforcement. Based on the research results, design documentation and technical specifications for the production of hollow-core slabs of formwork-free shaping for the product range proposed by the customer were developed. The solution of design issues and the test results of the proposed floor slabs of formwork-free shaping make it possible to produce economic and technological slabs for construction in seismic areas, in which 90% of the country's population lives. Therefor the issues of optimizing the main reinforcement consumption (prestressed high-strength wire reinforcement) at class B30 concrete strength without using the non-stressed reinforcement (reinforcing products) for the product range under consideration were addressed. Theoretical and constructive solutions of the slabs were developed in accordance with the standard requirements of Uzbekistan KMK 2.03.01-96 “Concrete and reinforced concrete structures”, KMK 2.01.03 “Construction in seismic areas” and considering the Euronorm EN 1168-2005 requirements “Precast concrete. Hollow-core slabs”. 05 30 2020 2219 2225 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A2319.059120 https://www.ijrte.org/portfolio-item/A2319059120/ Computer Science and Engineering, Mar Athanasius College of Engineering, Kothamangalam, Kerala, India Ajumol P A Elizabeth Isaac Assistant Professor, Computer Science and Engineering, Mar Athanasius College of Engineering, Kothamangalam, Kerala, India The Internet has become the most important medium for information exchange and the core communication environment for business relations as well as for social inter- actions. The current internet architecture itself might become the limiting factor of Internet growth and deployment of new applications including 5G and future internet. Architectural limitations of internet include weak security, lack of efficient storage and caching, data distribution and traceability issues, lack of interoperability and so on. The proposed system overcomes these limitations by an alternate architecture for internet called NovaGenesis. This architecture integrates the concepts of Infor- mation Centric Networking (ICN), Service Oriented Architecture (SOA), network caching and name based routing. ICN evolve internet from a host-centric model to a content-centric model through efficient data exchange, storage and processing. SOA enables software-control/management of network devices based on service requirements. Network caching improves performance in terms of throughput, network traffic and retrieval delay. Name based routing is for discovering and delivering of data. The framework proposed increases the scalability and reliability of the delivery of IoT data for services. 05 30 2020 1661 1666 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A2324.059120 https://www.ijrte.org/portfolio-item/A2324059120/ Department of EEE, NIT Puducherry, Karaikal S. Sankar K. Chandrasekaran Department of EEE, NIT Puducherry, Karaikal. This paper presents an effective control methodology to integrate multiple photovoltaic (PV) based distributed generator (DG) in microgrid. In general, the multiple PV based DG will operate in parallel and the rating of each PV unit is defined by the rating of the corresponding DC-DC converter. Each PV units operates independently with respective to the controller of the dc-dc converter and feeds power to the common bus. In this paper, a master slave control methodology is proposed to integrate multiple PV units with a single maximum power point tracking (MPPT) controller. In the proposed master slave approach, one PV unit is considered as master unit which is controlled through MPPT algorithm and voltage control method. Other PV units are considered as slave units and operate with current control without MPPT control. Compared with the traditional methods available in the literature, the proposed methodology reduces the complexity and controller cost of the parallel operation of multiple PV based DG system. Simulation and experimental results verify its feasibility. 05 30 2020 1336 1343 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A2326.059120 https://www.ijrte.org/portfolio-item/A2326059120/ Associate Professor, SRK institute of technology. Dr.V. Karthik Mr.V.Sathish Kumar Associate Professor, Marri Laxman Reddy Institute of Tech. and Management, affiliated to JNTUH, Hyderabad, Dr.N. Srimathi Associate Professor, School of Engineering, Avinashlingam Inst. of Home Science and Higher Education for Women, Coimbatore Ms.Poornima. P Research Scholar, School of Engineering, Avinashlingam Inst. of Home Science and Higher Education for Women, Coimbatore Natural fine aggregates are becoming more limited, and their production and consignment are turning out hard day by day. Therefore, the production of concrete needs to turn into eco-friendly construction practice. Self-Compacting Concrete (SCC) self-consolidates itself without any external vibration, and subsequently it quickens the concrete placement process and decreases the labor demands. In this study, the Flexural behavior of the SCC was studied. Reinforced SCC beam specimens were cast and tested in laboratories. The flexural behavior of SCC with copper slag as replacement for sand is delimited with the flexural test on beam specimens by examining the factors like deflection, flexural strength, crack pattern and strain pattern. 05 30 2020 1139 1144 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A2330.059120 https://www.ijrte.org/portfolio-item/A2330059120/ Assistant Professor, ECE DepartmentMahatma Gandhi Institute of TechnologyGandipet, Hyderabad. Saidulu* Microstrip antenna is used in wide area of applications such as high speed vehicles, missiles, tanks and satellite communications. In these applications dielectric superstrate (or cover) is used above the square patch antenna for providing the protections from severe environmental conditions such as rain, snow, heat, and damage etc. The proposed square microstrip patch antenna is designed using coaxial probe feed technique and transmission line model and operated at center frequency of 2.40 GHz, which is lying in the S-band region. The proposed model is used in linear polarization applications. The square patch is fabricated on low loss dielectric substrate material having dielectric constant is 2.2 and loss tangent of the substrate material is 0.0009. Ansoft electromagnetic simulator software such as HFSS is used for simulating proposed model and studied the effect cover or superstrate on different parameters of square patch antenna. This paper mainly focuses on the performance of square patch antenna without superstrate, and with superstrate at different height of dielectric superstrate above the patch antenna. The result found of patch antenna without superstrate the bandwidth is 0.04GHz and gain is obtained 8.9 dB and 7.51 dB in azimuth and elevation respectively. The result observed of patch antenna with dielectric cover (or superstrate) at height H =0, the antenna performance characteristics are slightly degraded and also comparing the antenna with the bandwidth is decreased to 0.02GHz from 0.04 GHz and gain is decreases to 6.44 dB and 6.6 dB from 8.9 dB and 7.51 dB in both azimuth and elevation plane respectively. The decreased performance characteristics of antenna will be improved by varying height of the superstrate above the patch antenna.. At particular optimum height, the performance characteristics patch antenna will be almost same as the patch antenna without superstrates. The obtained simulated results good match with measurement results. 05 30 2020 1297 1300 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A2348.059120 https://www.ijrte.org/portfolio-item/A2348059120/ Universiti Utara Malaysia/Education, Kedah, Malaysia Muhammad Iqbal Shaharom K. Kuperan Viswanathan OYA Graduate School, Universiti Utara Malaysia/Education, Kedah, Malaysia Nor Azman Ali Department of Management and Marketing, Universiti Putra Malaysia, Selangor, Malaysia. The purpose of this paper was to examine the mediating effects that organisational culture would have, on the work performance of those automotive sales persons, specifically within a case study of a large automotive sales organisation within the country of Malaysia. The findings were then detailed from the perceptions of the studies automotive salespersons, along with the correlating implications that could affect the automotive retaining industry in Malaysia. It was known that the work and job performance of automotive salespersons were greatly influenced by the kind of organisational culture that they were residing within. The organisational culture theories were used to investigate the social cognitive theory, via literature reviews conducted. The methodology of this paper was through the usage of quantitative and survey means where the needful data was collected from the related salespersons originating from the branches and dealers of the Malaysian based Naza Group of Companies. The involved measurement tools have been adopted from the works of previous researchers. One thousand and two hundred questionnaires have been distributed to arrive at three hundred and seventy five usable responses, hence a response rate of 31.25%. The collected quantitative data was processed and analysed using the Statistical Package for Social Science (SPSS) version 22. The results illustrated that significant positive relationships exist between organisational culture with the employees’ work performances. 05 30 2020 1105 1111 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A2352.059120 https://www.ijrte.org/portfolio-item/A2352059120/ Department of Management, Amrita Vishwa Vidhyapeetham, Kochi, India. Harishma Vijay L.* Dr Dhanya M Department of Management, Amrita Vishwa Vidhyapeetham, Kochi, India. Anupama Sudarsan Department of Management, Amrita Vishwa Vidhyapeetham, Kochi, India. This paper aims at assessing the consumer choice for masala (Homemade/ Ready-made powder) for home cooking in Trivandrum City in the state of Kerala, India. Kerala is popularly known as the "King of Spices," the leading producer of black pepper, enjoying a pride of place among all the spice producers. From the analysis made by us it is clear that people choose home-made forms of masala rather than ready-made ones. The reasons behind this are clearly studied in this paper. The target market is identified and segmented. Geographic segmentation is done by dividing the entire Trivandrum city into 12 major locations. Socio-demographic segmentation was also done on the basis of age, gender and income. Descriptive research design is being employed for the study. The data is collected using survey method by self-administering questionnaire or survey instrument. This paper is mainly divided into two main parts. The first part talks about the relationship between certain demographic factors like age, income and gender with the choice of masalas. The sample size is 300 and a Chi-square test of independence is done using SPSS tool. The second part talks about the reasons why people prefer home-made forms compared to ready-made forms of spice and masala powders. For this the sample size was 121 respondents. The analysis is done using Voyant tool. Text mining approach has been adopted. From the results it is clear that there is no significant correlation between the demographic factors considered and the choice made. Most of the respondents prefer to use home-made spices and masala powders as they consider it to be not adulterated. The two major factors driving the growth of the global organic food & beverage market are the number of health-conscious customers and growing awareness of the health benefits associated with organic spice consumption. Health is an important aspect considered in the case of spice powders and masala. People do not tolerate adulteration and hence they tend to choose the traditional methods of making masala powders over the ready-made forms available in the market today. This study would help the marketers to know the market potential and also to understand the consumer needs in case of spices and masala powders. 05 30 2020 1378 1381 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A2359.059120 https://www.ijrte.org/portfolio-item/A2359059120/ Assistant Professor, Department of Computer Science and Engineering, Sri Chandrasekharendra Saraswathi Viswa Mahavidyalaya, Kanchipuram, India. D. Gayathri* G. Gourav UG Student, Department of Computer Science and Engineering, Sri Chandrasekharendra Saraswathi Viswa Mahavidyalaya, Kanchipuram, India. M. Sudharshan UG Student, Department of Information Technology, Sri Chandrasekharendra Saraswathi Viswa Mahavidyalaya, Kanchipuram, India In the current technological era, everything is getting automated through various technologies. There always remains a need for a Smart Vehicle Registry with optimized performance and zero human interference. This paper deals with such a system by incorporating RFID (Radio Frequency Identification) technology and Image Processing into a single automated system that registers every vehicle and the person driving the vehicle entering into a specific zone. This paper outlines a survey on various works that had been done on the field of RFID and Image processing. The proposed system deals with an RFID system that can be used to scan the person driving the vehicle and an Image processing system which consists of a camera and an open source library to scan and record the vehicle registration plate number and a front end to manage the input and output flow of the system. The system discussed in this paper is created in such a way the analysis can be easily performed on the output data. This paper also discusses the various outcomes and futuristic works that can be performed to improve the system. 05 30 2020 1382 1387 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A2365.059120 https://www.ijrte.org/portfolio-item/A2365059120/ Student, B.Tech, Computer Science and Engineering, GITAM University, Bengaluru. Ms. G. Sai Vaishnavi Ms. G Poornima Reddy Student, B.Tech, Computer Science and Engineering, GITAM University, Bengaluru. Mr. Surendra Reddy Student, B.Tech, Computer Science and Engineering, GITAM University, Bengaluru. Mr. Hanish Student, B.Tech, Computer Science and Engineering, GITAM University, Bengaluru. Ms. Manjushree S Computer Science and Engineering, GITAM University, Bengaluru. Thieves are becoming smarter day-by-day which results in increase of looting of automobiles like scooters, cars and many other. To overcome this problem there is a crucial need for an effective system that diagnoses the vehicle theft. In this paper, an IoT based agile security system by using Raspberry Pi as the central processing unit of the entire system, a lightweight, cheap and efficient system is researched, built and explored. The Linux Embedded System gathers the data from Passive Infra-Red (PIR) motion sensors, pressure sensors, gas sensors, Global Positioning System (GPS), Pi camera, buzzer, and Liquid Crystal Display (LCD). The system has generally 2 modes. They are: Owner mode and Theft mode. If the system detects any intrusion in the vehicle it gives an alarm on detection, capture the image of the person by using image processing technique and identifies who is trying to unlock the vehicle and send coordinates of the vehicle when the intruder opens the vehicle door and starts moving the car, along with images of intruder to the owner by using a GSM module. By using GPS module, we can be to get the latitude and longitude of the vehicle remotely when the intruder has theft the vehicle. 05 30 2020 1502 1504 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A2367.059120 https://www.ijrte.org/portfolio-item/A2367059120/ School of Computing and Information Technology, REVA University, Bengaluru, Karnataka, India. Raghavendra V Satish G C Associate Professor, School of Computing and Information Technology, REVA University, Bengaluru, Karnataka, India. For encrypted images (RDHEI) reversible data shielding is an important technique for embedding data into the encrypted domain. A hidden key encrypts an original picture, and additional information may be inserted into the encrypted image during or after transmission without knowing the crypting key or the original contents of the picture. The hidden message can be retrieved during the decoding process and the original image can be restored. RDHEI has begun to generate academic attention over the past couple of years. Data privacy has become a real issue with the growth of cloud computing. None of the current methods, however, will allow us to hide a great deal of information reversibly. In this document we propose a new reversible approach with a very high capacity based on MSB (most important bit) forecasting. We present two approaches: a reversible high-capacity data hiding approach with a prediction-correction error (CPEHCRDH) and an integrated-prediction error (EPE-HCRDH) reversible data hiding approach. With this approach, our findings are better than those achieved with the existing state-of-the-art approaches, both in terms of image quality recovered and embedding efficiency. 05 30 2020 1388 1390 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A2370.059120 https://www.ijrte.org/portfolio-item/A2370059120/ Economic & Tourism Department, Quang Binh University, Dong Hoi City, Vietnam Van Chung Nguyen* Enhancing Eview program development as well as extended programs in economic analysis in the 21st century is extremely necessary for university students during practical business lessons. Furthermore, Eview program development will help students apply their theoretical knowledge to make inferences based on logic and trends from given sets of data as well as complete their course project. This article conducts extensive program analysis of Eview software to help students gain the ability to aggregate and analyze big data to meet the extremely diverse economic development seen nowadays. The article builds a specific segment program based on DPG analysis for a case of four developed countries and builds up 32 specific steps for students to complete all stages from theory to practice. It also examines student feedback on their experience in learning in the economic practice classrooms 4.0 at 32 Business school in Vietnam. 05 30 2020 1391 1396 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A2375.059120 https://www.ijrte.org/portfolio-item/A2375059120/ Professor, Department of Computer Science, Computer Science at Mangalore University. Dorsewamy Mersha Nigus Master of Science in Information technology, Teachers Education (MSc), Adama Science and Technology University. Feature selection is a method of dimension reduction that is used to select a specific subset of appropriate features from the original features by removing unnecessary and redundant features that do not have a benefit in classification or prediction. In this paper, the feature selection approach was conducted using three feature selection methods namely: Filter based, Wrapper based and Embedded based to predict household food insecurity from the household income, consumption, and expenditure survey data (HICE). To implement the above feature selection methods, we proposed new hybrid method by integrating the filter based feature selection methods which is Feature importance, Univariate (chi-square) and Correlation coefficient. To validate the efficiency of the proposed feature selection methods, we used five classification algorithms namely: K-Nearest Neighbor (KNN), Logistic Regression (LR), Support Vector Machine (SVM), Random Forest (RF), and Naive Bayes (NB). 05 30 2020 1560 1568 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A2382.059120 https://www.ijrte.org/portfolio-item/A2382059120/ Electronics and Communication Department, Sri Jayachamarajendra College of Engineering, JSS Science and Technology University, Mysuru , Karnataka, India. B A Sujatha Kumari Charitha Shetty M Electronics and Communication Department, Sri Jayachamarajendra College of Engineering, JSS Science and Technology University,Mysuru, Karnataka, India Lakshitha H M Electronics and Communication Department, Sri Jayachamarajendra College of Engineering, JSS Science and Technology University, Mysuru , Karnataka, India. Mehulkumar P Jain Electronics and Communication Department, Sri Jayachamarajendra College of Engineering, JSS Science and Technology University, Mysuru , Karnataka, India. Suma S Electronics and Communication Department, Sri Jayachamarajendra College of Engineering, JSS Science and Technology University, Mysuru , Karnataka, India. Alzheimer’s disease (AD) is a disorder which is said to be irreversible and affects the behavior and cognitive processes which will eventually affect the memory. This disease beget difficulty in performing the daily task of a patient. It is one of the most common form of dementia affecting people above the age 65 and the risk increases with age. The treatments currently available can only mitigate AD progression but there is no treatment to stop this progression. To bring down the progression of AD early detection becomes necessary. Researchers have found that many machine learning (ML) methods have been useful in detection of AD. Machine learning is a part of artificial intelligence involving probabilistic and optimization techniques such as neural networks that prepares pc's to gain a model from complex datasets. This paper Scrutinizes the developments taken in the field of ML for the possibly early diagnosis of AD. It discusses about various approaches used in recent times for the detection of AD at an early stage. Through this research we found several classification methods such as Recurrent neural networks(RNN), Convolution neural networks(CNN), many more binary and multiclass classifiers along with various methods of preprocessing steps involved in the detection of AD. This paper also throws light on the datasets being used and how these preprocessing steps and different classifiers attribute to increase of accuracy in prediction of AD. Finally, coming to the objective of this paper is to analyze and evaluate these different techniques of ML contributing for the detection AD as early as possible and also to help the researchers to get maximum information and comparison of techniques in one go. 05 30 2020 1754 1758 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A2391.059120 https://www.ijrte.org/portfolio-item/A2391059120/ Department of Information Technology, Udayana University, Bali, Indonesia. Evita Negara Putri* I Made Sukarsa Department of Information Technology, Udayana University, Bali, Indonesia. Anak Agung Ngurah Hary Susila Department of Information Technology, Udayana University, Bali, Indonesia. Application of information technology in government institution, including the departments where this case study was conducted, is an attempt to improve the transparency and quality of internal and external services. The employment of information technology aims to support the vision, mission and goals of the organization with good governance. Good governance management requires an audit to determine if the organization's performance is in accordance with the designated goals, vision and mission. The audit procedure performed by COBIT 5 which starts with identifying the work indicators listed in the Regional Medium-Term Development Plan (RMDP), identification of business objectives, identification of IT objectives, IT processes, data collection through questionnaires. Results of audit, showed that the capability level of five IT processes were within low value level, namely APO04 at level 1, APO07 at level 1, BAI01 at level 2, APO08 at level 2, and EDM05 at level 1. These results were indicating a presence of GAPs between expected organizational achievements and the current situation. By employing several best practice standards, this audit established several recommendations to improve maturity level including alignment between business objectives and IT objectives as well as IT processes. 05 30 2020 1402 1408 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A2396.059120 https://www.ijrte.org/portfolio-item/A2396059120/