-74813b3e17f460286df-7d7a 20220303071557351 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 Dean-Engineering, Bhabha University, Bhopal, MP, India. Mohit Gangwar Brijesh Kumar Ojha Asst. Prof., Department of ME, Faculty of Engineering, University of Lucknow, Lucknow, UP, India. Rohit Srivastava* Asst. Prof., Department of CSE, Faculty of Engineering, University of Lucknow, Lucknow, UP, India. Himanshu Kumar Shukla Assistant Professor, Department of CSE, KMC Urdu-Arbi Farshi University, Lucknow, UP, India. Aditya Pratap Singh Asst. Prof., Department of CSE, School of Management Science (AKTU Code 421), Lucknow, UP, India. Search of sheet metal components along with physical items calls for a good deal of expertise in addition to creating expertise on the part of designers. Lately, different Artificial Intelligence (AI) methods now are being used in sheet metallic labor to minimize complexity; take lower the dependency on male, time and also expertise ingested physical appearance of pieces and expires and additionally to enhance one success. Artificial Neural Network (ANN) method is by using the most effective materials for fixing engineering layout issues and minimizing errors to drop with experimental information within actual physical engineering. This specific investigate documents particulars a substantial comment of applications of ANN strategy to sheet metallic perform how about hand-operated engineering apps. Major printed analysis do inside the domain name of bodily engineering is really summarized. In line with the vital comment of accessible literature, a lot more analysis range is really determined. The present literature analysis uncovers that there's stern need in an attempt that you are able to make use of ANN means to press items style as well as in addition to foresee gear lifetime contained sheet metal industries or perhaps maybe even in for bodily engineering process. 05 30 2020 77 86 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A1162.059120 https://www.ijrte.org/portfolio-item/A1162059120/ Professor at the National University of Canete, Lima Dr. Castillo-SantaM B.* Dr. Ruiz Tejada J.O. Academic Vicepresiente of the National University of Cañete Dr. Quispe- Rodriguez J. professor at the Universidad Nacional Autonoma de Huanta Mg. Larico- Quispe B.N. Professor UNDC Mg. Mendoza- Zuñiga M. Professor UNDC The main objective is to know the findings of farmers and competent authorities on solid waste management packaging of pesticides in agricultural fields. This research is descriptive character of non-experimental quantitative approach, where a survey was applied to 30 producersagricultural, based on 18 items, which grow crops ofvegetables, sweet potatoes, corn, and asparagus. located in the Town Center Agua Dulce, 4 km from the district of San Vicente province of Cañete, Lima region, Peru, in an area of 200.83 ha. Result Review producers considerpollution and climate change are increased effect of solid waste packaging pesticides in agricultural fields. And it concludeswhich should promote training strategies and achieve decrease that plastics are thrown into agricultural fields and irrigation canals which then finally spreads into the sea, management should be led by the authority in strategic alliance with commercial houses chemical inputsIn coordination with farmers. 05 30 2020 710 713 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A1163.059120 https://www.ijrte.org/portfolio-item/A1163059120/ Department of Mechanical Engineering, Jabalpur Engineering College, Jabalpur, India. Anand Kumar Mehra* Ruchika Saini Department of Mechanical Engineering, Jabalpur Engineering College, Jabalpur, India. Abhishek Kumar Department of Mechanical Engineering, Jabalpur Engineering College, Jabalpur, India. Natural fiber reinforced composites are gaining popularity over conventional materials due its low cost, easy accessibility, non toxicity and most important feature - the biodegradability. Since broad varieties of natural fibers are available on earth, hence their merits can be incorporated in one by means of hybridization. Matured sponge gourd, which turns into a net structured fibrous mass on sun drying, is amalgamated with coconut coir as reinforcement along with epoxy resin as matrix material in a composite. The present study was carried out to explore the impact of change in weight percentages of sponge gourd fiber and coir on the mechanical properties and moisture affinity. The alkali treated fibers were turned into composites by dint of Hand Layup technique. The various mechanical properties were evaluated according to ASTM protocol. After the successful conclusion of the experiments, it was found that composite with maximum weight percentage of coir showed superlative tensile and impact strength whereas the composite with highest sponge fibre content showed maximum flexural strength. The composite with equal sponge fiber-coir weight percentage displayed lowest affinity towards moisture. 05 30 2020 2744 2751 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A1164.059120 https://www.ijrte.org/portfolio-item/A1164059120/ Assistant Professor in the Department of Civil Engineering of Sri Ramakrishna Institute of Technology. C. Gurumoorthy R. Shanmugapriyan Assistant Professor in the Department of Civil Engineering of MEPCO Schlenk Engineering College. Buildings made of earth material is an attempt for sustainable development to overcome the threats of rapid pollution rate caused by huge application of cement in construction industry almost in all forms as building blocks, all kinds of structural elements and infrastructure. The main objective of this project is to identify the better stabilization material for stabilized earth blocks for partial replacement of cement in the manufacture of CSEB’s. The scope of work is to achieve a harmonious integrated performance of buildings with physical environment by using natural earth material for preparing building blocks. In this project fly ash and quarry dust has been compared to find out the most suited stabilization material for CSEB’s providing efficiency as well as sustainability as a substitute material for cement. In this project CSEB’s prepared using 70% laterite soil and 30% of cement has been compared with specimens in which cement is replaced with fly ash and quarry dust in ranges of 10% and 20% of its weight. The 28 days compressive strength results shows 12.5% increase in strength for 10% optimum replacement of cement using fly ash and about 7.5% increase in strength for 10% optimum replacement of cement using quarry dust. The reduced water absorption has been notified in CSEB’s using fly ash and quarry dust which will facilitate good bonding with fresh mortar by avoiding high rate of water absorption from fresh mortar by blocks finding its effective application in construction of load bearing walls for general buildings. 05 30 2020 714 716 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A1165.059120 https://www.ijrte.org/portfolio-item/A1165059120/ School of Mechanical Engineering, VIT Chennai, India. A. Srinath J. Venugopal School of Mechanical Engineering, VIT Chennai, India. R. Harish* School of Mechanical Engineering, VIT Chennai, India. All automobile sectors looking at new technologies like electrical vehicles because to control the pollution and decreasing fuel consumption. In the present study, we analyze the flow and heat transfer performance of tesla model battery system and using Nano particles in base fluid. We consider water and ethylene glycol as the base fluid and aluminum oxide and copper oxide particles are dispersed into the primary phase. The investigation is performed by varying the heat source intensity of the battery and flow rate of the nanofluid is also varied. The results are compared by plotting the stream line contours, isotherms, pressure distribution inside the battery. The results show a significant reduction in the temperature distribution inside the battery system using nanofluids. 05 30 2020 2773 2776 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A1177.059120 https://www.ijrte.org/portfolio-item/A1177059120/ School of Mechanical Engineering, Vellore Institute of Technology Chennai, Tamilnadu-600127, India. T Sai Shyam P R Jishnu School of Mechanical Engineering, Vellore Institute of Technology Chennnai, Tamilnadu-600127, India. R Harish* Assistant Professor, School of Mechanical Engineering, Vellore Institute of Technology Chennai, Tamilnadu-600127, India. In this paper we present the turbulent flow around a semi-submersible platform, modelled using Ansys Fluent. The computational domain is designed as a rectangular horizontal channel with the semi-submersible platform mounted inside the channel. The top, bottom, left and right walls of the channel are treated with no slip boundary condition. The front and back walls are specified with velocity inlet and pressure outlet boundary conditions. The semi-submersible platform is designed with of two pontoons, four square columns and two bracings. The problem is modelled as three dimensional, transient, incompressible flow and turbulence is modelled using Large eddy simulation (LES) turbulence model. The computational domain is meshed to 4,72,749 hexahedral mesh cells. Parametric study is performed by varying the Reynolds number (Re) in the range of 104 ≤ Re ≤ 106 and also the shape of the columns. The investigation is carried out by plotting stream function, velocity and pressure contours. We observe vortex shedding and flow separation between the front and back columns of the semi-submersible platform. As we increase the Reynolds number the intensity of flow separation also increases. The transient flow characteristics of the lift and drag forces are evaluated by plotting the coefficients of lift and drag for different Reynolds number and column shapes. 05 30 2020 2777 2782 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A1178.059120 https://www.ijrte.org/portfolio-item/A1178059120/ School of Mechanical Engineering, Vellore Institute of Technology Chennai, Tamilnadu-600127, India. Aviral Bahuguna* R. Harish Assistant Professor, Thermal and Automotive Research Group, School of Mechanical Engineering, Vellore Institute of Technology Chennai, Tamilnadu-600127, India. The exponentially growing computing capabilities of electronic circuits require effective and efficient heat sink designs to control the temperature inside the system. To achieve the desired temperature for efficient working of electronic devices, phase change materials are widely used. In the present study we discuss the complex flow physics of a phase change material filled in a cubical enclosure in the turbulent flow regime with a local heater mounted on the enclosure bottom wall. The thermal properties of local heat source are that of silicon at a working temperature of 330 K. The walls of the enclosure other than the heat source are considered as adiabatic. The turbulent natural convection flow is modeled by the computational fluid dynamics (CFD) approach using Reynolds averaged Navier-stokes equation (RANS) with Lambremhorst k-ε turbulence model. A finite difference method is used to discretize the governing equations and an in-house CFD code is developed for simulating the turbulent characteristics. The flow physics of three different phase change materials (n-Octadecane, PEG900, Paraffin (RT60)) has been analyzed with Groshof number being fixed for all three phase change materials. The transient flow characteristics are investigated by plotting the stream function, velocity and temperature contours of the phase change materials.. 05 30 2020 717 721 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A1179.059120 https://www.ijrte.org/portfolio-item/A1179059120/ School of Mechanical Engineering, Vellore Institute of Technology, Chennai, Tamilnadu-600127, India. Ashley.A. Mason M. Sairam School of Mechanical Engineering ,Vellore Institute of Technology, Chennai, Tamilnadu-600127, India. Jacob J. Vettikattil School of Mechanical Engineering, Vellore Institute of Technology, Chennai, Tamilnadu-600127, India. R. Murthy School of Mechanical Engineering, Vellore Institute of Technology, Chennai, Tamilnadu-600127, India. R. Harish* School of Mechanical Engineering, Vellore Institute of Technology, Chennai, Tamilnadu-600127, India.. A realistic model of a naturally ventilated tunnel with side ducts is analyzed by Computational Fluid Dynamics. This study accounts for the different temperatures of heat sources and the different domains as the phenomenon of smoke marching in the longitudinal direction is captured. The study accounts the domain to be air domain, and then CO domain. The effect of varying the heat intensity with the marching of smoke is analyzed in the research. Critical parameters like air flow direction and velocity of smoke are taken into account. The paper mainly focuses on temperature distribution, modelling the problem as a convection problem. 05 30 2020 722 725 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A1180.059120 https://www.ijrte.org/portfolio-item/A1180059120/ Student, CAD/CAM, School of Mechanical Engineering, Vellore Institute of Technology Chennai, Tamilnadu-600127, India. T. Anvesh R. Harish* Assistant Professor, School of Mechanical Engineering, Vellore Institute of Technology Chennai, Tamilnadu-600127, India. In this study we concentrated on the radiative turbulent air to enter into the convective vertical channel. The vertical channel is having two openings at top and the bottom. The radiation is modelled with discrete ordinates method and turbulence is modelled with computational fluid dynamics (CFD) approach using Lambremhorst turbulence model. The governing equations are solved and discretized by using Finite Difference Method (FDM). The parametric study is performed on Assisting and opposing cases by comparing both the cases with the radiation and without radiation in the channel and found that temperature and velocity characteristics have much impact when the channel is involved with radiation 05 30 2020 2783 2787 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A1181.059120 https://www.ijrte.org/portfolio-item/A1181059120/ Ph.D Research Scholar, Department of HSE and Civil EngineeirngUniversity of Petroleum and Energy Studies Dehradun-248007, India Sonam Chaturvedi Bikarama Prasad Yadav Associate Professor Department of HSE and Civil EngineeirngUniversity of Petroleum and Energy Studies Dehradun-248007, India Nihal Anwar Siddiqui Professor Department of HSE and Civil EngineeirngUniversity of Petroleum and Energy Studies Dehradun-248007, India Sudhir Kumar Chaturvedi Assistant Professor (SG), Department of Aerospace EngineeringUniversity of Petroleum and Energy Studies Dehradun-248007, India Energy management is a very important concept from the point of view of economics, as it explains the energy generated from various sources in various dimensions and ways such as alternating current, high, low or medium voltage, high and low amps, time-variant etc., all these combinations can be used in smart ways. It is used to decide the amount of energy which is required and then is stored for the long as well as short terms to avoid power cut and failure issues. The municipal solid waste (MSW) is also one of the major issues which mainly increases due to the urban population. The conventional dumping and treatment techniques for the MSW have some major ecological difficulties. In this paper, a preliminary report has been presented for the Waste-to-energy conversions. This study also identifies the potential of calorific value from the municipal solid waste generated in the capital city of Uttarakhand (Dehradun). All the related and relevant information are used to analyze energy penetration through proper literature reviews of different research papers and articles. 05 30 2020 726 731 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A1182.059120 https://www.ijrte.org/portfolio-item/A1182059120/ Assistant Professor (Adhoc), Department. of Computer Science and Engineering, JNTUACEP. Specialized in Computer Networks and Cloud Computing. B. Muni Lavanya K. Kalyan Kumar Student, Department Of Computer Science and Engineering, IV B.Tech H. Shagufta Kayanath Student, Department Of Computer Science and Engineering, IV B.Tech D.Pushpalatha Bai Student, Department Of Computer Science Engineering, IV B.Tech However, oftentimes people just search a restaurant by using word “restaurant”, while the word “restaurant” means differently to different individuals. For an Asian, it can mean a “Chinese restaurant” or “Thai restaurant”. How to correctly interpret search requests based on people’s preference is a challenge. Building a machine-learning model based on activity history of a registered user can solve this problem. The activity histories used by this research are reviews and ratings from users. This project introduces a data processing pipeline, which uses reviews from registered users to generate a machine-learning model for each registered user. This project also defines an architecture, which uses the generated machine-learning models to support real-time personalized recommendations for restaurant searching and type of foods good at those recommended restaurants. Finally, this project aims to develop a good machine learning model, different collaborative filtering methodologies are considered to predict restaurants using user ratings. Slope One, k-Nearest Neighbors algorithm and multiclass SVM classification are some of the collaborating methodologies are going to consider in this project. 05 30 2020 732 736 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A1189.059120 https://www.ijrte.org/portfolio-item/A1189059120/ Associate Professor Department of EEE, CVR College of Engineering, Hyderabad, India Dakka. Obulesu* K. S. V Phani Kumar Assistant Professor Department of EEE, CVR College of Engineering, Hyderabad, India Rajab kumar Kar Sr.Assistant Professor Department of EEE, CVR College of Engineering, Hyderabad, India This paper presents a device that uses the evolving IoT technology to design and implement an internet-based energy meter. This meters, being cheap and easy-to-implement solution, enables consumers to monitor the daily usage of electric power easily. This work primarily concerns the energy-monitoring aspect of IoT, along with discussing other advantages of this meter, such as its ability to overcome human errors and reducing dependency on manual labor, besides reducing costs in energy consumption. The proposed design in case 1,and case2 which are comprises a low-cost wireless network for smart energy along with an android application capable of automatically reading the unit and then sending the data automatically provides great advantages to users by allowing them to keep a track of their meter reading. This system will help users by allowing them to not only take steps to reduce power wastage but also bring down costs of consumption, along with minimizing the threat of power theft, which is incurs great losses to power companies. Experimental results of this study show that the proposed IoT meter works efficiently and has proven its potential in practical applications at substantially reduced costs. 05 30 2020 1584 1588 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A1195.059120 https://www.ijrte.org/portfolio-item/A1195059120/ Institute of Gas Safety R&D Korea Gas Safety Corporation, 1390 Wongjung-ro, Maengdong-myon, Eumsung-gun, Chungcheongbuk-do, 369-811, South Korea Daehwan Kwon* Suel Ki Choi Institute of Gas Safety R&D Korea Gas Safety Corporation, 1390 Wongjung-ro, Maengdong-myon, Eumsung-gun, Chungcheongbuk Gyou Tae Park Institute of Gas Safety R&D Korea Gas Safety Corporation, 1390 Wongjung-ro, Maengdong-myon, Eumsung-gun, Chungcheongbuk Chul Hee Yu Institute of Gas Safety R&D Korea Gas Safety Corporation, 1390 Wongjung-ro, Maengdong-myon, Eumsung-gun, Chungcheongbuk Geun Jun Lyu Institute of Gas Safety R&D Korea Gas Safety Corporation, 1390 Wongjung-ro, Maengdong-myon, Eumsung-gun, Chungcheongbuk The thin films of Pt and Zn were coated with on the electrode in the board. Thin films of Pt are fabricated by ion plasma and Zn is manufactured by DC sputtering methods. Then the deposited boards were produced by ultrasonic chemical deposition in 0.01 M aqueous solution of C6H12N4 and Zn(NO3)2∙6H2O. To make the ZnO prepared-substrates were heat-treated at 600 °C for 1 hour and the sensitivity of ZnO-structured sensors was tested for Methane gas. In the experiment, the concentrations of Methane gas ranged from 15% to 40% LEL. We measured the change of the voltage before and after the Methane gas injections to judge whether it had a suitable performance as the Methane gas sensors. As a result of the sensitivity of the fabricated sensor, it was found that the voltage increases according to the Methane concentration. The sensitivity of the sensor constantly increased, so the graph showed a linear shape. Also, the fabricated sensors showed very short stabilization time, fast reaction and recovery. As a result, the using possibility of the detector is suggested where detection is required. 05 30 2020 737 743 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A1210.059120 https://www.ijrte.org/portfolio-item/A1210059120/ School of Mechanical Engineering, MIT Academy of Engineering, Alandi, Pune, India. Malge Abhijeet Manikarao* Kalos Pritam S School of Mechanical Engineering, MIT Academy of Engineering, Alandi, Pune, India Vertical Axis Wind Turbines has been looked upon by researchers as a potential avenue for power generation at domestic level. The Coefficient of Power of Vertical Axis wind Turbine has its limitations mentioned by Betz theory. In this paper three configurations viz one stage, two stage and three stage Wind booster has been designed, modelled and numerically analyzed. A Multistage concept of flaps has been used in wind booster so that wind velocity may increase during each stage. The performance of turbine is assessed by wind booster for Flow velocity, Pressure. For Numerical analysis SST K-epsilon turbulence model has been used. From the analysis it is found that, the two stage wind booster velocity and pressure magnitude range is superior as compared to other two configurations. 05 30 2020 744 746 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A1214.059120 https://www.ijrte.org/portfolio-item/A1214059120/ Professor, CSE Department, Easwari Engineering College, Chennai, Tamil Nadu. Dr.S. Kayalvizhi Mrs. D. Amirtha Sughi Assistant Professor, CSE Department, Easwari Engineering College, Chennai, Tamil Nadu. Shivasree. G CSE Department, Easwari Engineering College, Chennai, Tamil Nadu. J. Shruthi CSE Department, Easwari Engineering College, Chennai, Tamil Nadu. In this paper, the main idea is to have a transparent food supply chain by the use of blockchain technology. The architecture uses an authentication protocol which is similar to the protocol involved in the crypto currency technology. For this feature to be available in all the products a radio frequency identification (RFID)-based sensor was used. The architecture is built by having the cyber layer having the Blockchain and RFID sensor in the physical layer. The main idea of RFID is to provide real time monitoring of data by the use of a unique identifier. For a food supply chain to be transparent, every product has to have a proper link to the concerned origin and the status of the products. In order to achieve this blockchain provides a highly secured digital database for each of the food products. In order to prevent cyber-attacks different security analysis was being conducted at different architectural stages. 05 30 2020 437 443 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A1226.059120 https://www.ijrte.org/portfolio-item/A1226059120/ Associate Professor, Dept. of Computer Science and Engineering, Sri Krishna College of Engineering and Technology, Coimbatore. Dr.K. Senathipathi Rahul Gandhi A computer science engineering at Sri Krishna College of Engineering and Technology, Coimbatore, Tamil Nadu. Sanjay C computer science student pursuing his studies at Sri Krishna College of Engineering and Technology, Coimbatore, Tamil Nadu. Vasanth S computer science Engineering student pursuing at Sri Krishna College of Engineering and Technology, Coimbatore, Tamil Nadu. The IOT based live student tracking system is a mobile application ensuring the safety and security of the students. The main objective of the application is to build a smart watch for a school students.Now a days teachers and parents are worry about children because of the large amount students are bunking their classes.On certain cases,the teachers did not know about where the student is currently available and our proposed system gives a technical solution for the above problem.The system consists of school unit and bus unit which interact with the user.The school unit consists of a Bluetooth Low Energy device which is like a watch,that is used to send information once the student is out of Bluetooth range and also if the watch is removed by the student and the bus unit consists of mobile module where the app is placed.The parents acts like a end user,they can get a student exact location in their mobile phones.With this help of mobile application the parents and teachers can lively track the students location. 05 30 2020 747 749 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A1228.059120 https://www.ijrte.org/portfolio-item/A1228059120/ Department Of CSE,JNTUACEP Badvel,India D.Raghunath Kumar Babu M. Chaithanya Department Of CSE,JNTUACEP, Madanapalle,India. M. Sandhya Department Of CSE,JNTUACEP, Nellore,India. G. Shireesha Department Of CSE,JNTUACEP, Jammalamadugu,India Food is one of the basic needs of human being. We know that the population is rising enormously.so it is more important to feed such a huge population. But nowadays plants are largely affected with various types of diseases. If proper care should not be taken then it will show effect on quality of food products, quantity and finally on productivity of crops.. so, Early detection of plant disease is very essential, but it is very hard to farmers to monitor the crops manually it takes more processing time, huge amount of work, expensive and need expertised persons. Automatic detection of plant diseases helps the farmers to monitor the large fields easily,because our approach of using convolution neural networks provides a chance to discover diseases at the very early stage. By using Image Processing and machine learning models we can detect the plant diseases automatically but the accuracy is very less, early detection is also a major challenge. With the modern advanced developments in deep learning, in our project we have implemented the convolution neural networks(CNN) which comprises of different layers,by using those layers we can automatically detect and classify the diseases present in the plants. High Classification accuracy and more processing speed are the main advantages of our approach. After training the model on color, grayscale and segmented datasets our deep learning model will be capable of classifying a large number of different diseases and our project gives us the name of the disease that the plant has with its confidence level and also provides remedies for corresponding diseases. 05 30 2020 750 754 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A1232.059120 https://www.ijrte.org/portfolio-item/A1232059120/ PhD in Economics, Senior Lecturer, Moscow Aviation Institute (National Research University), Moscow, Russia. Anastasia M. Tikhomirova* Natalia V. Komarova PhD in Economics, Associate Professor, Moscow Aviation Institute (National Research University), Moscow, Russia. Karen E. Dadyan Graduate Student, Moscow Aviation Institute (National Research University), Moscow, Russia. The article shows the relevance of creating network project groups in the organization of production of Information Technology (IT)-products. The goal of the study was identified, the decomposition of this goal was carried out, and other components of the logical structure of the study were identified. The hypothesis of the study is the following: when transforming an ordinary project group into a network one, characteristics are acquired that ensure the success of the project group and increase the competitiveness of IT-companies, using appropriate methods of motivation. The scientific novelty of the work lies in the fact that the relationship between the use of the network design approach and the company's competitiveness in the implementation of complex and non-standard projects in the IT-companies’ organization of production is revealed. Features of employees’ motivation of such divisions are revealed and fundamentally new solutions in the field of employees’ motivation of IT-companies are defined. 05 30 2020 755 759 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A1234.059120 https://www.ijrte.org/portfolio-item/A1234059120/ Senior Lecturer, Moscow Aviation Institute (National Research University), Moscow, Russia. Anna V. Bondarenko* Anna A. Burdina Doctor in Economics, Professor, Moscow Aviation Institute (National Research University), Moscow, Russia. In this article there are the structural elements of strategic effectiveness of projects. The author reflects the features of technological support of projects to create high-tech products in the aviation industry of the Russian Federation. The article describes an algorithm for assessing the level of technological support for projects to create high-tech products in the aviation industry, considering the factor of their territorial production and installation. There are also levels of development of the structural characteristics of the strategic efficiency of the project and the levels of analysis of the structural elements of the aircraft here. 05 30 2020 760 765 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A1235.059120 https://www.ijrte.org/portfolio-item/A1235059120/ Assistant Professor and research scholar , University Institute of Computing Chandigarh University, Chandigarh, India. Uttama Garg Anand Kumar Shukla Associate Professor and Research Coordinator in Chandigarh University, Mohali, Punjab, India Harmanjeet Singh Associate Professor and Research Coordinator, Chandigarh University, Mohali, Punjab, India Nisha Sharma Associate Professor and Research Coordinator, Chandigarh University, Mohali, Punjab, India Er. Sandeep Kaur Associate Professor and Research Coordinator, Chandigarh University, Mohali, Punjab, India Today is the generation of Machine Learning and Artificial Intelligence. Machine Learning is a field of scientific study and statistical models to predict the answers of never before asked questions. Machine Learning algorithms use a huge quantity of sample data that is further used to generate model. The higher amount and quality of training set lead to higher accuracy in approximate result calculation. ML is the most popular field to research and also helpful in pattern finding, artificial intelligence and data analysis. In this paper we are going to explain the basic concept of Machine Learning with its various types of methods. These methods can be used according to user’s requirement. Machine Learning tasks are divided into various categories . These tasks are accomplished by computer system without being explicitly programmed. 05 30 2020 527 531 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A1237.059120 https://www.ijrte.org/portfolio-item/A1237059120/ PhD in Historical Sciences, Associate Professor, Moscow Aviation Institute (National Research University), Moscow, Russia Oksana I. Kosykh* Nina N. Badaeva PhD in Historical Sciences, Professor, Moscow Aviation Institute (National Research University), Moscow, Russia. The agrarian revolution that swallowed Russia in 1917-1921, included processes of an economic, social, and political nature, led to a change in the social structure of the village. The article shows how the changes that occurred in land relations became the main ones during the agrarian revolution and in many ways expressed the fate of the Russian village in the XX century. Besides, the great experience of studying this topic in domestic and foreign historiography is shown. This work presents a rethought view of land relations based on a previously unused number of sources, including the regional level, which is rarely attracted by researchers. This allowed the authors to reach a new level of topic development. Today, the agrarian problem in Russia needs to be resolved again. A theoretical understanding of the chosen path cannot be carried out without a history of the made transformations. 05 30 2020 766 772 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A1246.059120 https://www.ijrte.org/portfolio-item/A1246059120/ Associate Professor, Department of Information Technology,R.M.D Engineering College,Thiruvallur,, Tamilnadu, India. Dr. V.Prasanna Srinivasan S. Madhumitha Currently pursuing a bachelor’s degree in the stream Information Technology at R.M.D Engineering College,Thiruvallur,,Tamilnadu,India R. Nithisha Currently pursuing a bachelor’s degree in the stream Information Technology at R.M.D Engineering College,Thiruvallur,,Tamilnadu,India J. Vaisali Currently pursuing a bachelor’s degree in the stream Information Technology at R.M.D Engineering College,Thiruvallur,,Tamilnadu,India S. Yogalakshmi Currently pursuing a bachelor’s degree in the stream Information Technology at R.M.D Engineering College,Thiruvallur,,Tamilnadu,India Agriculture serves the major role in economic development of a country. It plays a major task in providing adequate food supplies for mankind. In order to provide this task the economy of the farmers has to be increased. Agriculture marketing is one of the best ways to accomplish the task. It involves the purchasing of agricultural products directly from farmers. Some farmers are unaware about the commodity prices and sell their products at low prices to the third party, resulting in huge loss for the farmers. To overcome this situation, an android application and website for agricultural marketing that provides better knowledge about the commodity prices and booking of vehicles for transportation, government schemes available in current days to farmers. It provides the path to find the buyers and the sellers. It also helps the farmers to choose the best location to buy and sell the products. 05 30 2020 612 616 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A1252.059120 https://www.ijrte.org/portfolio-item/A1252059120/ Assistant Professor, Department of Computer Science and Engineering at Jeppiaar Institute of Technology, Chennai. Mrs. Suganya M Mr. Pranav S Student, B.E., Computer Science and Engineering at Jeppiaar Institute of Technology, Sriperumbudur, Chennai. Ms. Revathi R Assistant Professor, Department of Computer Science and Engineering at Jeppiaar Institute of Technology, Chennai. Mrs. Dayana R Assistant Professor, Department of Computer Science and Engineering at Jeppiaar Institute of Technology, Chennai. In modern day technology, among the elderly population, there is an increased cases of dementia. However, there is a delay in dementia diagnosis over the past years. So there is a primary requirement for improving diagnosis of dementia in every part of the nation across the world. However, Dementia screening remains controversial, although strong preference is given for screening dementia, mainly for hospital inpatients. Here the objective is to implement screening, to alert family members about the condition of patients. The entire screening process is achieved using Robotic Process Automation where automatic screening and validation of the mental state of the elderly people is recognized and shared with their respective family members 05 30 2020 773 776 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A1255.059120 https://www.ijrte.org/portfolio-item/A1255059120/ Faculty, Hyderabad Business School Dr.Pinakapani Peri Dr. Bhaskar Narasimha Rao Garimella Associate Professor, DoC, MAHE, Manipal University, Karnataka Dr.B.Mohan Kumar Professor, Dept of Business Mgt, Professor, Dept of Business Mgt Hyderabad Collaboration modeled as risk participation tends to reduce default risk and measures achievement within volatility parameters. This stimulates stakeholders to ensure regular repayment and build capability to create sustainable livelihoods for borrowers and profitable credit portfolios for lenders. This study attempts to create a working model of knowledge and education delivery system (Dr. Amartya Sen’s “Capability Maturity Model”) which not only analyzes credit default from a borrower’s perspective, but also seeks to mitigate a larger evil “SOCIAL EXCLUSION” (associated with loan default) that causes disequilibrium in poor tribal lives (Women). The model capitalizes associated variables using an analytical method to reduce default risks and applies the same to arrive at an equilibrium as per game theoretic approach. Using numerical analysis, the model seeks to identify risk dependency reductions in tribal Microfinance. 05 30 2020 87 93 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A1257.059120 https://www.ijrte.org/portfolio-item/A1257059120/ Integrated Flight Control Systems(IFCS), Aeronautical Development Agency(ADA), Student of Academy of Scientific and Innovative Research (AcSIR), CSIR-National Aerospace Laboratries(NAL), Bangalore Jayalakshmi M Scientist Vijay. V. Patel Scientist Flight Mechanics Control Division , NAL, Scientist, IFCS, ADA K. Singh Scientist Flight Mechanics Control Division , NAL, Faculty of AcSIR, CSIR-NAL, Bangalore, India. Fault tolerant flight control (FTFC) system deals with the detection and diagnosis of faults and looks at the task of regaining control in the presence of the fault. Current modern aircraft are made highly complex for comfort or high performance. The study of improvement in safety, redundancy, and adapting the flight control laws after its occurrence of faults has fascinated the thoughtfulness of several investigators in the previous two decades. Overall illustration of different fault diagnosis and fault-tolerant flight control approaches involved are provided in this review paper. 05 30 2020 617 625 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A1261.059120 https://www.ijrte.org/portfolio-item/A1261059120/ Department of Electronics and Communication systems, Nehru Arts and Science College, Coimbatore, Tamilnadu, India. S. Kannan* N.P. Subiramaniyam Department of Electronics and Communication Systems, Nehru Arts and Science College, Coimbatore, Tamilnadu, India. SU. Lavanisadevi Department of Physics, Sri Saradha College for Women, Salem, Tamilnadu, India. M. Sathish kumar Department of Electronics and Communication Systems, Nehru Arts and Science College, Coimbatore, Tamilnadu, India Here, we reported a modern sort of zinc sulfide thin films as a catalyst was prepared from simple sol-gel approach. The as-deposited samples were further annealed at 200, 300, 4000 C temperatures under atmospheric environment. The variation in the annealing temperature becomes crucial for optimizing the prepared samples characterization and dye degradation behavior. Structural and morphological analysis recommends that test were hexagonal crystal structure and spherical shaped morphology, particle size was found within the range of 25-40 nm. The significant red shift was found within the absorption edge and lessening of energy in the band gap was found whereas the annealing temperature is increased from 200 to 400 oC. Recombination of photo-generated electron-hole sets was moreover distinguished and the photo-degradation test was monitored methylene blue dye solutions under visible light irradiation. The 400 oC annealed sample showed superior photocatalytic performance such as high degradation efficiency and long term stability towards MB dye. 05 30 2020 237 241 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A1266.059120 https://www.ijrte.org/portfolio-item/A1266059120/ Department of Computer Science, Jouf University, Tubarjal, Kingdom of Saudi Arabia, Mahmood A. Mahmood* Tarek A. Mohamed Department of Information System Misr University for Science and Technology Faculty of Business, This paper presents an approach of bloom filter classifier and collaborative filtering to help foreign student to choose the suitable faculty according to his nationality and number of years that need to study. Our approach consist of three phases are: input phase, classification phase, and recommendation phase. In Input phase, the student enters the nationality and number of suggested years study. In classification phase, the approach classifies the student according to input data based on bloom filter classifier. In recommendation phase, the approach recommended the top five faculty if exists based on collaborative filtering technique (CF). Our dataset collected from Misr University for Science and Technology (MUST) and the results of our approach suitable and has a good manner for the student with accuracy 90%. 05 30 2020 1741 1743 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A1267.059120 https://www.ijrte.org/portfolio-item/A1267059120/ Assistant Professor, CSE Department, Easwari Engineering College, Chennai, Tamil Nadu. K Arun kumar Nishannth S CSE Department, Easwari Engineering College, Chennai, Tamil Nadu. Shankar Narayan K CSE Department, Easwari Engineering College, Chennai, Tamil Nadu. Subikshan S CSE Department, Easwari Engineering College, Chennai, Tamil Nadu. Lung infections are the most intense ailments that influence the lungs. Lung assumes a fundamental job which takes care in the breathing procedure in people. Lung ailments is said to be the most widely recognized ailments around the world, particularly in India it is increasingly normal. The regular maladies, for example, pleural emanation and typical lung can be recognized and grouped right now. This paper introduces a PC helped order Method in Computer Tomography (CT) Images of lungs created utilizing NN. The significant reason for this framework is to recognize and characterize the most widely recognized lung ailments that causes the significant issues by viable component extraction through Dual-Tree Complex Wavelet Transform and GLCM Features.Right now whole lung is fragmented from the CT Images and the parameters are determined from the divided picture. The parameters are determined utilizing GLCM. We Propose and assess the Network intended for grouping of ILD designs. The parameters gives the greatest grouping Accuracy. After outcome we propose the bunching to portion the injury part from irregular lung. 05 30 2020 242 249 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A1268.059120 https://www.ijrte.org/portfolio-item/A1268059120/ Applied Mathematics, Delhi Technological University, Delhi, India Sourabh Kumar Singh Rajat Sharma Applied Mathematics, Delhi Technological University, Delhi, India Suraj Gupta Applied Mathematics, Delhi Technological University, Delhi, India Prof. Dr. L. N. Das* Applied Mathematics, Delhi Technological University, Delhi, India . The cloud computing paradigm is a never-ending topic of research providing its users with state-of-the-art technological benefits. Its rapid adoption by various companies has paved the way for the Industry 4.0 model. In this paper, we try to consolidate our research on cloud computing to be a part of Industry 4.0. The 4th industrial revolution, after the steam engine, electric power, and electronics being the marker of the first, second, and third revolution, respectively, is referred to as Industry 4.0. Industry 4.0 has a great potential to change the manufacturing sector drastically, and the way factories work by automating the different processes. It transforms the conventional pyramid model to a more rigid and efficient network model of interconnected services, which makes it possible for operational technologies and information technologies to come under a single umbrella and work together with higher utilization of various resources. These interconnected services produce a huge data, which makes its storage and efficient analysis very crucial. Therefore, cloud computing, along with big data become the two most important pillars in the Industry 4.0 model. In this paper, we focus on the cloud computing aspect of the Industry 4.0 model. That is, how we can use the various new advances which are happening in cloud computing and how these new technological advances can be incorporated into the Industry 4.0 model as well as the need, benefits, and difficulties of applying cloud computing technology in Industry 4.0. 05 30 2020 250 253 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A1269.059120 https://www.ijrte.org/portfolio-item/A1269059120/ Lecturer, Mechanical Engineering, Kwara State University Malete. Issa, W.A. Fatile O.E. B.Eng, Mechanical Engineering, Kwara State University Malete, Kwara State. Abdulmumuni B. B.Eng, Mechanical Engineering, Kwara State University Malete, Kwara State. Ologunye O.B. Lecturer, Mechanical Engineering Department, Federal Polytechnic Ede; Osun State, Nigeria Okpara I.N. Lecturer, Mechanical Engineering Department, Federal Polytechnic Ede; Osun State, Nigeria The fabricated charcoal fish smoking kiln was done to improve on the performance of the existing technology and determine its performance for future applications. The charcoal fish smoking kiln is made from rectangular mild steel of 2mm thickness and has three chambers such as the blower chamber, charcoal chamber, and the smoke chambers respectively. The chambers were insulated with 20mm thick thermosetting polymer welded in between two mild steel plates. The end of the smoke chambers is connected to a blower to assists in the heat convective flow mechanism during operation. The weight loss of the fish sample being calculated can be used to determine the smoking efficiency, including the smoking time by using charcoal and the temperature can as well be determined. The smoking kiln was tested by using two different species of fish: cat and panla smoked to an average moisture content of 62.5% within an average period of 4 hours, the average final weight of the dried fish was 0.24 Kg, weight loss 22.45Wb, residence temperature of 60-800C, heat exchanger temperature is 2430C, and heat different at chimney 2420C. The fabricated machine is highly efficient. It produced dried smoked fish that lasted for seven weeks without spoilage. The fish produced had a golden brown colour. The fish processing itself took less than one hour and the temperature of the heat supplied was quite higher than the traditional drum oven type. 05 30 2020 1487 1495 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A1271.059120 https://www.ijrte.org/portfolio-item/A1271059120/ M.Sc. Student, ECE, Benha University, Benha 13511, Egypt Ahmed I. Mohamed Amr A. Al-Awamry Assistant Professor, ECE, Benha University, Benha 13511, Egypt Ashraf S. Mohra Professor, ECE, Benha University, Benha 13511, Egypt, The integration of cellular networks allows mobile users to eliminate poor indoor coverage and call dropping probability. Femto stations (FS’s) appeared to be one of the innovative solutions that enhanced network coverage and the Quality of Service (QoS) when servicing indoor users. The cellular network Operator can potentially benefit by employing FS inside buildings and shares the allocated spectrum among different network entities. The seamless handover (HO) process between network entities is a major challenge of the Femto cellular networks (FCNs). Furthermore, the minimum and appropriate neighbor Femto list (NFL) is the main aim to guarantee the complete execution of the HO process. In this paper, an algorithm is proposed for power control in dense Femto Stations environment as long as possible through the Nash non-cooperative game theory. additionally, it provides location information mechanism to ensure a seamless transition between different network entities based on detected frequency from neighbor FS’s, signal to interference noise ratio (SINR), as well as the location information of FS in the coverage area. Simulation results show that the proposed algorithm reduces the HO failure probability through improving the NFL by deducting 40% of the amount of FSs in the NFL. As compared to the traditional scheme based on RSSI and frequency allocation, with increasing the number of FSs, there is around 40- 50% reduction in the probability that the target FS is not included in the NFL which improves the network performance and lowers HO failure probability. 05 30 2020 120 126 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A1273.059120 https://www.ijrte.org/portfolio-item/A1273059120/ Assistant Professor, Dept. of CSE, Sri Venkateswara Engineering College, Tirupati, India. D Yaso Omkari J Omkar Reddy Assistant Professor, Dept. of CSE, Sri Venkateswara Engineering College, Tirupati, India K Prathima Reddy Assistant Professor, Dept. of CSE, Sri Venkateswara Engineering College, Tirupati, India. Concerns for service computer networks’ security and reliability are growing rapidly due to increasing service devices with connections to external networks. This aggravates vulnerability of service networks to cyber attacks through external connections. Though encryption can provide security for user data transmissions, encryption itself could not provide protections against traffic analysis attacks. Techniques against traffic-analysis attacks through statistically controlling the transmission rate of padded and encrypted frames are unsuited for power system applications. This paper proposes three security operation modes for the newly developed security layer, located below DNP3 data-link layer, to strengthen encryption and authentication operations against the effectiveness of traffic- analysis and cryptanalysis attacks. The security models use padding to disguise the amount of user data transmitted and disguise the user data link layer frame amongst a group of manufactured frames similar to statistically controlling data transmission rate. The proposed security operations have been successfully applied to enhance power system security controls. 05 30 2020 254 261 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A1279.059120 https://www.ijrte.org/portfolio-item/A1279059120/ Associate Professor, Shadan Institute of Computer Studies (MBA Dept.) Hyderabad, India Mohd Moinuddin Mudassir The digital payment/UPI transactions have seen tremendous growth in the last five years in India. Mobile penetration, data offers by telecoms and government initiatives such as Digital India are playing a catalyst role that leads to an exponential growth of digital/UPI payments. Millennial customers are generally known to be tech-savvy generation and sometimes categorize as innovators or early adopters generation, making the most use of digital/UPI payments at the point of sale (POS) for services and products. The structured questionnaire was used to collect data to understand the reasons for preferring digital payment/UPI apps over cash/card and to examine the reactions from millennial towards marketing strategies. Primary data was collected from 100 respondents in Hyderabad, India. The study found that millennial customers are very positive towards preferring digital payment/UPI apps over cash/card. ANOVA was used to analyze the responses, which indicate that there is no significant variance in consumer preference and reactions towards marketing strategies based on demographic factors. 05 30 2020 494 499 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A1289.059120 https://www.ijrte.org/portfolio-item/A1289059120/ MSc student in Department of Electrical Power & Machine ,,Faculty of Engineering, Ain Shams University ,Cairo ,Egypt Fathy Ghonima M. Ezzat Assistant Professor in Department of Electrical Power & Machine ,Faculty of Engineering, Ain Shams University, Cairo ,Egypt . T.S. Abdel-Salam Professor in Department of Electrical Power & Machine, Faculty of Engineering, Ain Shams University, Cairo, Egypt This paper deals with economic and technical evaluation of the hybrid power system which is fed six-megawatt load located in a city in Egypt called Hurghada. There is two types of economical evaluation. The first type is Economical evaluation which has two parts, the first part is cost estimation to know the price of generating power of the hybrid system in every season to reveal the lowest and the highest cost of the power unit in every season and The second part is an economic load dispatch for the six-megawatt load to know which hybrid system topology gives the required power at low cost and which topology gives the required power at a higher cost, economic load dispatch made for eight possible hybrid system topologies for four hybrid system units. The technical evaluation made by studying generating reliability indices Loss of Load Probability (LOLP), Loss of Load Expectation, (LOLE) Expected Energy Not Supplied (EENS) in every season of the year to know which season is more reliable to supply power to the load area. Studying generating reliability at the probabilities for generating units to achieve reliability index calculation according to the load duration curve of the load area in one year. The evaluation made by simulation of the hybrid system in MATLAB Simulink in every season and optimize power by using the Genetic Algorithm and Partial Swarm Optimization to ensure economical and technical optimal performance of the hybrid system. 05 30 2020 151 161 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A1302.059120 https://www.ijrte.org/portfolio-item/A1302059120/ Assistant Professor, VRSEC, Vijayawada. Mr V Sudheer Kumar Dr Ch Nagaraju Professor, VRSEC, Vijayawada. Vibrations in rotor bearing systems are mostly produced by misalignment, imbalance, mechanical looseness, cracks and other malfunctions. Now-a-days, diagnostics of rotor defects gaining importance day by day. This paper introduces a new methodology to detect cracks based on amplitude and frequency of vibration data. Experiments were conducted at different levels of crack depth, its position and shaft rotational speed on a shaft which was held between two bearings. Experimental results of amplitude and frequency of vibration were measured in axial, vertical and horizontal directions at both the bearings. Signal to noise ratios were calculated for the experimental results using Taguchi method to identify significant parameters which are having effect on the experimental results. Neural network models were developed for the experimental results to predict them. The neural network was trained with the experimental data and predicted the responses. In addition to that, Taguchi method was also used to predict the responses. A comparison was carried out among the experimental results, artificial neural networks (ANN) predicted values and Taguchi predicted values. The comparison reveals that there is good agreement among them and the ANN and Taguchi methods can be used to predict the amplitude and frequency of responses. 05 30 2020 162 169 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A1305.059120 https://www.ijrte.org/portfolio-item/A1305059120/ Mechanical Engineering Department, Universal Group of Institutions, Lalru, India Vishal Jagota* Gulam Sarvar Mechanical Engineering Department, Universal Group of Institutions, Lalru, India. The surface temperature of hot die steel reaches typically up to 550ºC or above during processes like hot extrusion and casting non-ferrous material. The present paper explores the impact of austenitizing temperature as well as tempering temperature on the tensile strength of hot die steel. Heat treatment is done at three different austenitizing temperatures of 1010ºC, 1030ºC, and 1050ºC, followed by tempering done at two different temperatures of 540ºC and 580°C. Tempering is done twice for two hours. Metallographic grinding, polishing, and then etching using 2% Nital is done to investigate the microstructure of hot die steel with respect to its heat treatment. It is found that the grain size of hot die steel increases with an increase in austenitizing temperature. The impact on tensile strength of hot die steel for its heat treatment is examined by conducting the uniaxial tensile test to fracture. And investigation of the morphology of the fracture surface produced after the tensile test is done. It was found that hot die steel with large grain size exhibits lesser tensile strength. Whereas, the one having smaller grain has higher tensile strength that is found to be in accordance with the Hall-Patch equation. 05 30 2020 2100 2102 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A1314.059120 https://www.ijrte.org/portfolio-item/A1314059120/ department of management and law, Volga State University of Technology, Yoshkar-Ola, Russian Federation Dmitry L. Napolskikh* The article presents methodological features of two stages of cluster policy in Russian Federation, the purpose of which is to ensure the accelerated formation of innovative clusters in regions that are not covered by clustering processes, as well as the development of existing clusters. It is concluded that the current stage of cluster policy in Russian Federation is characterized by the priority application of administrative and program-target models. Russia's transition to the second stage of implementing the cluster development policy will require a transition to infrastructure-institutional and mediation models. Based on the regularities of production placement in the economic space of the country, author highlights main principles and directions of state regulation of clustering processes in the economic systems of Russian regions. 05 30 2020 127 131 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A1317.059120 https://www.ijrte.org/portfolio-item/A1317059120/ School of Engineering and IT Al Dar University College, Al Garhoud, Dubai, UAE Dr. Hena Iqbal* Ghassan Al-Utaibi School of Business, Al Dar University College, Al Garhoud, Dubai, UAE Om Prakash Bohra School of Business, Al Dar University College, Al Garhoud, Dubai, UAE In the field of informational technology, cyber security plays an important role in ensuring that information has become one of today's major challenges. The first thing that comes to our mind when we ever talk about cyber security is ' cyber crimes, ' which are rising exponentially every day. Different governments and companies take numerous measures to prevent such cyber crimes. In addition to various cyber security measures, many still have a major concern. It also reports on the innovations in cyber security strategies, practices and developments that change the face of online health. This paper focuses mainly on cyber security challenges facing the latest technologies. 05 30 2020 170 175 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A1324.059120 https://www.ijrte.org/portfolio-item/A1324059120/ Department of Energy Management, University of Petroleum and Energy Studies, Dehradun, India. Avishek Ghosal* Anil Kumar Department of Energy Management, University of Petroleum and Energy Studies, Dehradun, India. Urban development have seen paradigm shift in the last few decades. With the shift, technological evolution with recent development in the field of wired and wireless information communication infrastructure are making cities more sustainable and smarter. Sustainable development objective is to transform our world by 2030, where the all inhabitants benefits from development efforts. The concept of sustainable development in an endeavor to eradicate and improve the issues such as poverty, greenhouse gas emission, climate change, health care service, nutritional requirement, clean energy and building peaceful and inclusive societies. In this paper, we tried to identify the technology with respect to ICT that will help the cities of Uttarakhand to reach the goals of sustainability. We used systematic review process from various research journals, articles and reports to identify potential ICT infrastructure that can support the cities of Uttarakhand to achieve the vision of sustainability. The policy makers and administrators can use this study for successful implementation of ICT technology in the cities of Uttarakhand. 05 30 2020 132 138 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A1325.059120 https://www.ijrte.org/portfolio-item/A1325059120/ Dept of ECE, The Oxford College of Engineering, Bangalore, India. S .Sajithra Varun* Dr. R. Nagaraj* Vice Chancellor, Kalasalingam Academy of Research and Education, Tamil Nadu, India. The disproportionate increase in the visual impairment among elderly is of great importance in the field of research. Some of the causes of visual acuity are Cataracts, Glaucoma, Age related macular degeneration and diabetic retinopathy. These causes may cause more accidental issues in day today life. This paper conceptualizes a navigation guide using various sensors like GPS, INS and Infrared sensors along with optimal filtering algorithm. The IR sensor detects the obstacles whereas GPS and INS helps in navigating our loved ones to the destination address safely .This navigation system utilizes low cost sensors and can be modified to be embedded as a wearable device that can help visually challenged as a locomotion guide . 05 30 2020 176 180 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A1340.059120 https://www.ijrte.org/portfolio-item/A1340059120/ Department of Electrophysical Methods of Non-Destructive Testing, Karpenko Physico-mechanical Institute of the NAS of Ukraine, Lviv, Ukraine Volodymyr Yuzevych Nataliia Pavlenchyk* Department of Economics and Management, Lviv State University of Physical Culture, Lviv, Ukraine; Olha Zaiats Department of Civil Law Disciplines, Lviv State University of Internal Affairs, Lviv, Ukraine Nellі Heorhiadi Department of Management and International Business, Lviv Polytechnic National University, Lviv, Ukraine Viktoriia Lakiza Department of Management and International Business, Lviv Polytechnic National University, Lviv, Ukraine The introduction of new technologies for diagnosing underground metal pipelines with dangerous surface defects is a practically important task. That is why studies aimed at improving the methods of assessing the quality of deformed metal pipelines and structural elements are necessary and relevant. The evaluation of the effectiveness of engineering and technological solutions for oil and gas enterprises needs improvement. In this context, an important task is to solve the problem of quality control (including durability) of gas and oil transportation systems and the improvement of appropriate metrological support. Based on surface physics and fracture mechanics, development of a methodological approach to assessing the quality and resource of underground metal pipelines (UMP) of oil and gas enterprises, taking into account the constructions strength, corrosion fatigue, parameters of corrosion protection and metrological support. Results of processing of normative documents and scientific works in the field of gas transportation enterprises, as well as methods of surface physics, mechanics of deformed solid body, fracture mechanics, qualimetry regarding the system “pipeline (UMP) – coating”. A new criterion for the strength of the surface of a metal underground pipe is proposed, which characterizes the peculiarities of bond fractures (adhesion) between the coating and the metal. Using the criterion of the strength of a metal tube with a defect in the electrolyte, the dependence of the critical internal pressure of the gas pipeline (UMP) on the geometric and energy (elastic and plastic) parameters of the metal, as well as the current of the anodic dissolution, which characterizes the features of the crack propagation at the bottom of the corrosion cavern. On the basis of surface physics and fracture mechanics obtained, a methodology for evaluating the quality of underground metal pipelines of oil and gas enterprises was developed to determine their resource, taking into account strength, corrosion fatigue, parameters of corrosion protection and metrological support. 05 30 2020 1145 1150 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A1341.059120 https://www.ijrte.org/portfolio-item/A1341059120/ Department of Management, Amrita Vishwa Vidyapeetham, Amritapuri Campus, Kollam, India Navya John As the types of skills required on the labour market shift rapidly, individual employees will need to engage in life-long learning. This is not only to remain employable but to pursue satisfying and rewarding careers that enable them to optimize their job opportunities. Reskilling and upskilling programs would be crucial for businesses if they are to attract the talent they need and lead to socially responsible solutions to the future of jobs. This study has focused to understand the level of awareness the top five Indian IT companies have on Industry 4.0 and what are the practices that they follow to tackle the threat of digitization to their employees. This has been evaluated by studying the learning and development practices, the mission, vision, values of the organization from the homepage of their website and also their annual reports for the year 2018-19. This study would be useful to other organizations in the industry in getting an idea of what are the L&D practices the top five organizations has been doing. The chosen top companies can have a look at the current programs being practised by them and the improvements that can be brought up to upskill and reskill their employees. All organizations chosen for study has been carrying out upskilling or reskilling initiatives along with other learning and development programs. Three organizations have elements of learning inculcated in their core values whereas all five of them have no elements of learning or digitization mentioned in their mission and vision statement. 05 30 2020 262 272 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A1357.059120 https://www.ijrte.org/portfolio-item/A1357059120/ B.E in Electronics and Telecommunication branch from Yeshwantrao Chavan College of Engineering Nagpur, Maharashtra, India Saurabh Sathawane Dr. Mrs. A. D. Belsare Assistant Professor, Electronics & Telecommunication Engg, Yeshwantrao Chavan College of Engineering Mr. Vaibhav Deshpande Delivery Manager at Syslogyx Technologies Pvt. Ltd., Nagpur, India. Snehal Warade B.E in Electronics and Telecommunication branch from Yeshwantrao Chavan College of Engineering Nagpur, Maharashtra, India. Tanay Thakre B.E in Electronics and Telecommunication branch from Yeshwantrao Chavan College of Engineering Nagpur, Maharashtra, India. Internet of Things is a medium by which we can control our appliances from anywhere in the world. In Industry many times accidents happened due to negligence of workers and there are some risky areas in Industry where workers not able to go and work. Voice-controlled Industrial parameters monitoring and controlling system are used in the risky areas of Industries usually in power plants where there are high noise level and pollution to avoid accidents. Here an induction motor speed, temperature, pressure, etc are monitored and controlled to avoid damage to the motor. These all the parameters are going to monitor and controlled automatically. In this paper, Google-Assistant and Adafruit IO server are used for monitoring and controlling. By using this system the workers can monitor and control Industrial appliances and problems occur in Industries where workers not able to go and work are overcome. 05 30 2020 181 184 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A1385.059120 https://www.ijrte.org/portfolio-item/A1385059120/ Department of Computer Science and Engineering,National Engineering College, Kovilpatti, Tamil Nadu, India B Sivasan kari K.Subhi kshaa Department of Computer Science and Engineering,National Engineering College, Kovilpatti, Tamil Nadu, India S.Theepa Sri Department of Computer Science and Engineering,National Engineering College, Kovilpatti, Tamil Nadu, India M.Yasmin Fathima Department of Computer Science ad Engineering,National Engineering College, Kovilpatti, Tamil Nadu, India *A. Shenbagaraman Assistant Professor, Department of Computer Science amd Engineering, National Engineering College, Kovilpatti, Tamilnadu, India. E-Freight Booking System requires client section of holder and item measurements, together with data on weight and direction limitation. E-Freight Booking System is utilized to book load. Client can join utilizing a username and secret phrase for booking the payload. Client can make reference to about their things in payload the board and furthermore they can compute the expense consequently. There is distinctive expense for various conveyance places. It consequently figures the administration charges relying upon conveyance places.It won't transport any great that are disallowed by law. E-Freight Booking System will deal with the products of Supplier (Admin) in the distribution center. This product will have Supplier (Admin) Login and Warehouse Login for various Warehouses. This will permit the provider to watch out for the products that he has in Warehouses. The Warehouse Login will permit distribution center to acknowledge merchandise, check state of products on the off chance that its harmed, at that point framework will reorder a similar decent. Also, it will produce bill for the load. It figures weight and others things of load, and will make passage of it. The administrator has in general rights over the framework and can direct the procedure. 05 30 2020 185 188 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A1386.059120 https://www.ijrte.org/portfolio-item/A1386059120/ M.Tech, Software Engineering, M S Ramaiah Institute of Technology (MSRIT), Bangaluru Rashmitha H.R Dr. Sumana M Associate Professor, Department of Information Science and Engineering, M S Ramaiah Institute of Technology (MSRIT). Cardiac Arrhythmia is a state within the heart that is caused due to irregular waveforms generated from sinoatrial node. Around 17.3 million people die due o cardiac arrhythmia as indicated by World Health Organization (WHO), the kind of disruptions that is caused by sinoatrial is easily captured in Electrocardiography (ECG) readings; it records in all the disruptions and makes a record in form of images, waveforms, numerical data and categorical data. The noisy data’s collected during a patient examination is recorded in form of a special character to prompt the missing data. With different set of distinct patients having different classes of arrhythmia the ECG easily records in all the arrhythmia class as Y dependent variable’s that is used to pass the collected data from the ECG to the proposed system in the research study, which give’s in an architectural model for detecting arrhythmia with considering a combination of Machine Learning Techniques. Random Forest is mainly used in for feature extraction for the dataset that is trained and tested followed by passing the updated dataset to a combination of different Machine Learning Techniques in order to provide accurate training and testing accuracy results from the dataset received. The use of the proposed model is in hospitals that have huge amount of dataset, with recursive training and testing of the model with the right Machine Learning Algorithm for huge amount of dataset it yields results fast in a short span of time, that can help save several life forms in a very short period of time. 05 30 2020 271 274 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A1388.059120 https://www.ijrte.org/portfolio-item/A1388059120/ Assistant of the Department of “General Technical Disciplines”, Namangan engineering and technology institute, Uzbekistan, Namangan Sh. Imomkulov M. Tukhtaboev Assistant of the Department of “General Technical Disciplines”, Namangan engineering and technology institute, Uzbekistan, Namangan All known automotive concerns and institutes specialized in ICE problems have worked to identify the relationship between the compression ratio of ICE and its efficiency and to investigate the nature of thermodynamic processes taking place in ICE. Numerous experiments have also been carried out to increase the compression ratio of ICE. But these works had a negative result. Building on this negative result, ICE theory adopted, as axioms, claims that the compression ratio of a gasoline engine cannot be higher than 14. That the most effective compression ratio of the diesel internal combustion engine is in the region 17-23, and at the compression ratio 40 it becomes zero. Experts and theorists were so established in the correctness of these provisions that at this stage the slightest attempt to question them caused a sharp reaction. 05 30 2020 1744 1747 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A1389.059120 https://www.ijrte.org/portfolio-item/A1389059120/ Assistant Professor, Department of Master of Computer Applications of Karpagam College of Engineering R. Gomathi R. Ramprashath Assistant Professor, Karpagam College of Engineering, Coimbatore P.Murugeswari M.Sc Assistant Professor, G.T.N Arts College, Dindigul A.Jeyachitra M.C.A. M.Phil ., Assistant professor, G.T.N Arts College, Dindigul Heart disease is measured as a common disease all over the world. The ultimate target is to provide heart disease diagnosis with improved feature selection with Glow worm swarm optimization algorithm. The anticipated model comprises of optimization approach for feature selection and classifier for predicting heart disease. This system framework comprises of three stages: 1) data processing, 2) feature selection using IGWSO approach and classification with conventional machine learning classifiers. Here, C4.5 classifier is considered for performing the function. The benchmark dataset that has been attained from UCI database was cast off for performing computation. Maximal classification accuracy has been achieved based on cross validation strategy. Outcomes depicts that performance of anticipated model is superior in contrary to other models. Simulation has been done with MATLAB environment. Metrics like accuracy, sensitivity, specificity, F-measure and recall has been evaluated. 05 30 2020 500 505 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A1392.059120 https://www.ijrte.org/portfolio-item/A1392059120/ Department of Information Technology, Panimalar Institute of Technology, No.391, Bangalore Trunk Road, Varadharajapuram, Poonamallee, Chennai - 600 123, Tamil Nadu, India. Thillai Sivakavi Saravanan* Shenbaga Priya V Department of Computer Science, Computer Applications School of Computer Information and Mathematical Sciences B.S. Abdur Rahman Crescent Institute of Science & Technology Seethakathi Estate GST Road(Chennai-Trichy National Highway, NH45, Vandalur, Tamil Nadu 600048, India Digital image distinction sweetening is that the technique of enhancing the character of the digital image by using varied strategies so as to seem higher. Image distinction sweetening techniques ar divided into Linear and Non-Linear distinction sweetening. Linear distinction sweetening works by increasing the first input worth of the info associate degreed Non -linear distinction sweetening normally works by utilizing bar graph feat through the utilization of an rule. This paper analyses the non-linear distinction sweetening techniques in terms of image sweetening. From the analysis, it's found that bar graph feat outperforms alternative non-linear distinction sweetening techniques. 05 30 2020 850 853 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A1400.059120 https://www.ijrte.org/portfolio-item/A1400059120/ Assistant Professor, Department of MCA,Karpagam College of Engineering, Coimbatore, India. R. Gomathi R. Gomathi Assistant Professor, Department of MCA,Karpagam College of Engineering, Coimbatore, India. V. Ananthanarayanan Student, Department of MCA,Karpagam College of Engineering, Coimbatore, India. J.Ashok Lingam Mahipaul Assistant Professor, Department of Computer Science, Sri Sankara Bhagavathi Arts and Science College, Tirunelveli, India. At present, there is a constant migration of people is encountered in urban regions. Health care services are considered as a confronting challenging factors, there is an extremely influenced by huge arrival of people to city centre. Subsequently, places all around the world are spending in digital evolution in an attempt to offer healthy eco-system for huge people. With this transformation, enormous homes are equipped with smarter devices (for example, sensors, smart sensors and so on) which produce huge amount of indexical data and fine-grained that is examined to assist smart city services. In this work, a model has been anticipated to utilize smart home big data analysis as a discovering and learning human activity patterns for huge health care applications. This work describes and highlights the experimentation with the analysis of vigorous data analysis process that assists healthcare analytics. This procedure comprises of subsequent stages: understanding, collection, cleaning, validation, enrichment, integration and storage. It has been resourcefully utilized to processing of data types variety comprising clinical data from EHR. 05 30 2020 275 282 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A1406.059120 https://www.ijrte.org/portfolio-item/A1406059120/ Final year BBA F&A Student, Department of Professional Studies, Christ (Deemed to be University), Bengaluru, Karnataka, Subhiksha Kannan Peddina Sripriya* Final year BBA F&A Student, Department of Professional Studies, Christ (Deemed to be University), Bengaluru, Karnataka, Drishty Wadhwani Final year BBA F&A Student, Department of Professional Studies, Christ (Deemed to be University), Bengaluru, Karnataka CA Rohit Choraria Adjunct faculty, Department of Professional Studies, Christ (Deemed to be University), Bengaluru, Karnataka This paper examines the impact of the introduction of weekly expiry on Nifty options on the relationship between Nifty and India VIX. It demonstrates that the introduction of weekly expiration on Nifty options resulted in a significant decrease in the association of market returns and volatility. This decrease was visible across options-based volatility metrics like India VIX and non-options-based volatility metrics like Annualized Volatility of Futures and Underlying asset (Nifty Index). This study finds that shorter expiries and resultant larger volumes lower the correlation between market performance and various volatility indicators. This is done by testing the effect of Nifty volumes in the Options segment as a moderator variable in the relationship between Nifty and India VIX. In other words, an increase in India VIX now indicates a lower decline in Nifty than it did earlier. This paper also indicates that the inverse must also be true. Longer expiries and comparatively lower volumes contributed to a higher negative correlation between Nifty and India VIX. By comparing correlations in the periods before and after the introduction of weekly expiry on Nifty options, we measure the impact of volumes and expiration time. 05 30 2020 357 371 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A1418.059120 https://www.ijrte.org/portfolio-item/A1418059120/ Pursuing M.Tech in Structural Engineering from Integral University, Lucknow, India Ali Ansari Dr. Sahih Ahmad Civil Engineering, Integral University, Lucknow, India. Deflection of slab is the most important parameter by which we can calculate the depth of slab which is depend on total loads applied on the slab and span of slab between two column. The concept of bubble slab in which middle layer concrete is replaced by HDPE bubble which will helps to reduced its self-weight, deflection, moments & force reactions. The criteria of choosing suitable thickness of HDPE bubble are well mentioned in this paper with suitable examples so we can easily use that thickness value in practical on site. Static analysis of several models is done by finite element analysis method with tetra meshing by using Ansys ver. 15.0 as an analyzing tool. In this paper, results clearly specifies the structural behaviour change of bubble slab by changing its HDPE bubble thickness as well as its also specify the best thickness value of HDPE bubble. Bubble slab will be more useful on those structures in which intermediates columns is not required when the span of conventional slab is large then its deflection, moments & force reaction values is greater by which its depth is increased which makes conventional slab heavy so its total self-weight loads are transfer to column to footing which makes both increases in size & uneconomical. If we used the concept of bubble slab our nearly 35% self-weight of slab is reduced which positively effect on load transfer to other structural members and by this procedure whole structure will be more stable, durable & economical. 05 30 2020 372 379 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A1436.059120 https://www.ijrte.org/portfolio-item/A1436059120/ Research and Education Center «Fundamental and Applied Information Technologies», Orel State University, Orel, Russia. Roman Lunev* Vadim Volkov Department of Information Systems, Orel State University, Orel, Russia Alexei Stychuk Department of Information Systems, Orel State University, Orel, Russia. Anastasia Mitryaeva Department of Information Systems, Orel State University, Orel, Russia The purpose of research is to examine the current state of the urban environment in Russia, to analyze the satisfaction with the quality of housing and communal services and to suggest the mechanism for the formation of a comfortable urban environment. Electronic service use-case diagram was developed. The next step is developing of the logical scheme for building an electronic service network for the population based on the technology of mobile rapid response applications. To realize access to information operated by an electronic service, the database server interacts with file storage organized using the tools for creating file-based storage systems using cloud technologies. The software implementation of the electronic service has a complex composite structure, consisting of subsystems and modules interacting with each other. The prototype of the program interface was developed as the state transition network. Research’s results: The proposed concept of mobile rapid response applications aimed at prompt notification of city services about the detected problem. This technology is an integral part of the "safe city". The definition of the responsible organization that needs to be sent to the application is carried out on the server for processing orders using a system of keywords or hash tags. Having in the mobile application a certain pre-formed, at the stage of launching an electronic service, a set of hash tags, with the possibility of its expansion and replenishment, the user can quickly and accurately describe the nature of the problem. The prototype of a system for solving urban problems was developed. Conclusions: The most promising approach is the use of distributed automated information centers, functioning according to territorial principles. In this case, it is proposed to process the geoinformation transmitted to the situational center (data from citizens and organizations appeals containing information about the location of the treatment object) in automatic mode, the person is included in the process only in case of emergency situations or when malfunctions occur. Scientific value of the research is the approach to the development of the situation center based on geo-service. Practical value of the research is the pilot operation of a system for solving urban problems, built with the use of a geosocial network was launched Orel in 2017 and has a positive feedback. 05 30 2020 444 451 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A1441.059120 https://www.ijrte.org/portfolio-item/A1441059120/ Assistant Professor, Universitas Negeri Makassar Agung Widhi Kurniawan Muhammad Ichwan Musa Assistant Professor, Universitas Negeri Makassar. Tenri SP Dipoatmodjo Lecturer, Universitas Negeri Makassar. Nurman Nurman Assistant Professor, Universitas Negeri Makassar. this research aims to analyze the effect of university student activity in the organization and learning achievement on the work readiness, particularly in entrepreneurship. The sample of the study was 53 students of Management Department at the Faculty of Economics, Makassar State University. Data collection is performed by using the documentation and questionnaire methods. The data analysis technique employed is multiple regression analysis and Multiple Correlation Coefficient Analysis and Determination Coefficient Analysis using the IBM Statistical for Product and Service Solution (SPSS) version 21 program. The results of this study indicate that the two independent variables are Student Activity in Organizations (X1) and Learning Achievement (X2) partially and simultaneously affect the dependent variable Work readiness (Y). The correlation coefficient of 0.854 is in the interval 0.71 to 0.90, which shows the strength of the relationship between the independent variable and the dependent variable is very strongly correlated. The coefficient of determination of 0.730 indicates the independent variable to predict the dependent variable by 73%, while the remaining 27% is influenced by other factors. This paper offers theoretical and practical implications. For theoretical implication, this research fills the gaps in existing research. Moreover, for practical implications, it is expected that the decision makers in higher education level should be able to keep up the positive aspects and to encourage the supportive academic atmosphere in order to generate such student’s entrepreneurial readiness. 05 30 2020 323 331 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A1445.059120 https://www.ijrte.org/portfolio-item/A1445059120/ Pilot plant & chemical engineering Department, Engineering Research Division, National Research Center, Egypt Amany A. El Mansoub Marwa M. El Sayed Pilot plant & chemical engineering Department, Engineering Research Division, National Research Center, Egypt Abdelghani M.G. Abulnour Pilot plant & chemical engineering Department, Engineering Research Division, National Research Center, Egypt Hussein M. Fahmy Pilot plant & chemical engineering Department, Engineering Research Division, National Research Center, Egypt Rasha M. El Nashar Pilot plant & chemical engineering Department, Engineering Research Division, National Research Center, Egypt is a key technology for heavy metals removal from industrial effluents. The use of adsorbent polymers is considered to be an attractive solution for wastewater treatment due to their high selectivity for certain heavy metals. Through the current study, an adsorptive polyacrylonitrile based hydrogel blend was used to examine heavy metals removal in simulated effluents incorporating chromium and nickel. Moreover, Fourier Transform Infrared Spectroscopy (FTIR), X-ray diffraction (XRD), Scanning Electron Microscopy (SEM) in conjunction to an Energy Dispersive X-Ray Spectroscopy (EDX) were used for characterization of the polymeric blend structure. Finally, for surface evaluation, the specific surface area and the pore size distribution Brunauer-Emmett-Teller (BET) analysis techniques were used together with electrical conductivity measurements The obtained results from FTIR showed the appearance of the original bands of raw materials (polyacrylonitrile (PAN), polyvinyl alcohol and polyaniline (PAni) and the change of the peaks position confirmed the hydrolysis and combination of starting materials into the polymeric blend. Surface morphology studies showed that this gel has porous surface with an average pore size and surface area of 0.73 nm and 17.3 m2/g, respectively. Moreover, Electrical conductivity measurements indicated the presence of PAni in the polymeric blend assisted in the increase in conductivity of PAN. Finally, the different parameters of the polymeric hydrogel blend were investigated through swelling water ratio (SWR) and conventional adsorption processes at different operating conditions such as; initial salt concentration, pH and contact time. The maximum chromium adsorption results were (12.44 mg/g for 10 mg/L initial salt concentration), (10.46 mg/g for 5.5 pH) and (4.91 mg/g for 1 hr. contact time). Whereas, the maximum nickel adsorption was (7.67 mg/g for 20 mg/L initial salt concentration), (7.57 mg/g for 7 pH) and (6 mg/g for 2 hrs. contact time). 05 30 2020 283 291 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A1451.059120 https://www.ijrte.org/portfolio-item/A1451059120/ Information System Management Department BINUS Graduate Program-Master of Information System Management, Bina Nusantara University Jakarta, Indonesia Siti Royani Pasaribu Harisno Information System Management Department BINUS Graduate Program-Master of Information System Management, Bina Nusantara University Jakarta, Indonesia Presidential Secretariat according to State Minister Regulation No. 3 of 2015 chapter IV on position, duties and functions that are under the Presidential Secretariat and are responsible to the State Secretariat and in carrying out their duties the Head of the Presidential Secretariat can receive direct assignments from the president. The Presidential Secretariat consists of the Press, Media and Information Bureau (BPMI) which is tasked with carrying out press and media activities, reporting and analyzing news, managing information, data, and documenting the activities of the president and / or wife / husband of the president, state guests, and other important activities . inside and outside the country, as well as the management of the presidential library. IT governance is needed so that the IT process at the Presidential Secretariat can have an important impact on achieving the organization's vision, mission and strategic objectives. The purpose of this study is to evaluate IT services at the Presidential Secretariat based on COBIT 5 by assessing the level of IT process capability at COBIT 5 and Gap Analysis to determine the priority of IT processes at COBIT 5 in improving IT services. The evaluation evaluation measured from the COBIT 5 framework refers to 7 COBIT 5 processes, namely EDM01, EDM04, APO02, APO04, APO06, BAI08, and DSS03. Furthermore, the COBIT 5 process chosen in writing this research was obtained through data collection methods, namely conducting interviews, distributing questionnaires and observing at the Presidential Secretariat. Data analysis was based on the COBIT 5 framework through a questionnaire taken from 10 respondents using the Rating Scale Formula to find out the Scale of Capacity for each Activity and Output in the selected COBIT 5 process. Then from the evaluation results, it is known that 7 processes are still at Level 1 (Performed) where the results are still below the expected Ability Level, which is Level 4 (Predictable). In order for the Gap Analysis obtained to be 3, the results are used to set recommendations for improvement based on the COBIT 5 Framework. 05 30 2020 532 537 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A1457.059120 https://www.ijrte.org/portfolio-item/A1457059120/ CSE, SRM Institute of Science and Technology, Chennai, India Ayushi Gupta* Nikhil Narayan CSE, SRM Institute of Science and Technology, Chennai, India. Kanmani Sivagar CSE, SRM Institute of Science and Technology, Chennai, India. Seed Selection is a very challenging job because for a selection of a seed multifarious parameters are to be taken under consideration. Also seed analysis require a prediction of which seed is suitable which needs a great accuracy as there are numerous things to be taken into account like soil type, ph of soil, nutrient content of soil, elevation of land, weather of the area, etc. Several algorithms have been devised from time to time but each of the methods differs in their own way. The algorithms, which are discussed, are K-Means Algorithm, K-Nearest Neighbor Algorithm, Naïve Bayes Classifier, Decision Tree, Regression Model, etc. Data mining techniques can overcome this challenging job. 05 30 2020 189 192 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A1458.059120 https://www.ijrte.org/portfolio-item/A1458059120/ Research Scholar, Department of Computer Science and engineering Glocal University, Saharanpur, India. Mohammad Asim khan Sharik Ahmad Department of Computer science and engineering, Glocal university, Saharanpur India. Rapid increases in informational and technological methods have led companies to gather customer data in great databases. Data mining is the procedure involving analyzing, searching information to make it helpful for human use. Great amount of information is modeled, selected as well as explored in order to figure out comprehensible info. Artificial intelligence as well as data mining methods has been utilized in numerous domains to resolve classification, diagnosis, and association, segmentation, and prediction issues. This particular paper discuss about the Data mining as well as KDD procedure from an AI perspective. We talk about popular subjects in data mining as well as AI, which includes key AI suggestions which have been utilized in both data mining as well as KDD. The general goal of this particular paper is taking a perspective of different application and algorithms of AI in Data Mining. In this particular paper, we are going to take into consideration several historic contributions and talk about these various thoughts with an example to human intelligence. Additionally, an overall framework for the style of even more clever devices can we proposed. 05 30 2020 380 383 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A1462.059120 https://www.ijrte.org/portfolio-item/A1462059120/ Research Scholar, School of Computing Science and Engineering, Galgotias University, Uttar Pradesh, India S. Ponmaniraj* Prof. Dr. Tapas Kumar Doctorate, Professor, School of Computing Science and Engineering, Galgotias University, Uttar Pradesh, India Prof. Dr. Amit Kumar Goel Doctorate, Professor, School of Computing Science and Engineering, Galgotias University, Uttar Pradesh, India Searching a specified content on the web site is like epistle a single character in bunch of pages. When the user enters their keyword into any search engines, it takes that in to web server mining process for collecting the entire terms related to that entered key phrase. Few pages gives legal and authenticated matter for the user, which they really wanted to access. Whereas many other pages are bringing them some unwanted and malicious codes of pages or virus activity pages to harm user’s activities and the system’s functions. Generally a web page attacks the targeted system by faulty instructions and malevolent programs through some sort of intrusion methodologies are called as phishing. In this attacking method user is set to access unknown or illegal sites by the way of accessing some unidentified websites link imbedding with legal site contents. Once victim’s system performance got compromised then hackers started to do attack. To avoid this kind of molestations, user needs to understand reliability of web page’s contents before started to continue browsing. This research paper is going to present web crawler architecture, design complexities and implementation for scrapping web contents from visited web pages for indentifying their reliability and freshness. 05 30 2020 139 144 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A1463.059120 https://www.ijrte.org/portfolio-item/A1463059120/ Assistant Professor, Department of Computer Science and Engineering, Jeppiaar Institute of Technology, Chennai, India Mrs. R Dayana* Mrs. M Suganya Assistant Professor, Department of Computer Science and Engineering, Jeppiaar Institute of Technology, Chennai, India. Balaji P Department of Computer Science and Engineering, Jeppiaar Institute of Technology, Chennai, India. Mohamed Thahir A Department of Computer Science and Engineering Jeppiaar Institute of Technology, Kanchipuram, Tamil Nadu, India. Arunkumar P Department of Computer Science and Engineering Jeppiaar Institute of Technology, Kanchipuram, Tamil Nadu, India. In industry and research area big data applications are consuming most of the spaces. Among some examples of big data, the video streams from CCTV cameras as equal importance with other sources like medical data, social media data. Based on the security purpose CCTV cameras are implemented in all places where security having much importance. Security can be defined in different ways like theft identification, violence detection etc. In most of the highly secured areas security plays a major role in a real time environment. This paper discusses the detecting and recognising the facial features of the persons using deep learning concepts. This paper includes deep learning concepts starts from object detection, action detection and identification. The issues recognized in existing methods are identified and summarized. 05 30 2020 1151 1155 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A1464.059120 https://www.ijrte.org/portfolio-item/A1464059120/