bluuebunny/crossref_metadata_2025 huggingface dataset:
Do Equity Mutual Fund Managers Possess efficient Stock Selection Skills?
Authors:   Associate Professor, Department of Commerce, N.K.S Model College, Karanja(Gh), Dist. Wardha (M.S), Sontakke* Dr. Ravindra N. , Muley Dr. Anand Ashok ,   Assistant Professor, Department of Commerce,M Patel College of Arts, Commerce & Science, Bhandara., Gidwani Dr. Jaspal ,   Head of Department, Department of Management studies, R.T.M. Nagpur University, Nagpur
Published: May 2020

With a primary and single intent, Investors wants to take a position his hard earning money in such investment product which generate higher returns to him . Bunch of Investment options are there for Today’s Investors in this financial world, starting from Equity Stock investments to Gold, from property to Fixed Deposit and From Mutual Funds to Investments in Commodities. Supported risk craving & return desire, Investors can select from these investment avenues. Lagging in knowledge, experience & resources for directly accessing the capital market, also investors generally don’t have adequate time, they need to depend upon a mediator, which undertakes informed investment decisions & provides substantial benefits of professional proficiency. Therefore investment firm has been came with this plus point for such kind of investors through which they’ll have also access to capital market indirectly. A mutual fund is that the best suited investment for the ordinary saver because it proposes a chance to take a position in a diversified, professionally managed hamper of securities at a moderately squat price.Usually, the main focus in evaluating the performance of a mutual fund has been on fund manager’s skill available in stock selection. This paper is a pragmatic measurement of the performance of mutual fund managers in terms of “Stock selectivity”, within the structure suggested by Eugene Fama (1972). The study examines the performance of 34 Equity Linked Saving Schemes. The reference period for the study is January 2015 to December 2019. Stock selection is that the nub within the investment administration & management process. It involves identifying and selecting undervalued securities which among other things requires the successful forecasting of the corporate specific events or a capability to predict the final behavior of security prices within the future. If the fund manager is in a position to spot and choose the undervalued securities for the portfolio, then it’ll be possible for the fund manager to extend the returns of the schemes and vice versa. In practice fund managers are expected to produce advanced returns for unit holders Constantly as being professionals therefore possess superior skills to gather and analyze the information with the aim to pick the correct style of securities for the portfolio. In this research document stock selectivity skills of fund managers of Equity Linked Savings Scheme were dissected by using Jensen’s Alpha and Fama’s net selectivity measure. The upshot of the study reveal that bulk of the schemes has shown assenting alpha and most of the fund managers possess finer selectivity skills.
Job Satisfaction: Difference in Levels among Selected Industries
Authors:   Assistant Professor, S.S Jain Subodh P.G (Autonomous) College, Sharma* Dr. Satish Chand , Gupta Dr. Ravi ,   Assistant Professor, S.S Jain Subodh P.G (Autonomous) College
Published: May 2020

With increasing competition within every industry and the growing threat of substitute products from other industries, the organizations are facing increasing trouble in maintaining and improving their profitability and productivity levels, given the constraints of modern economy. After achieving a technological oligopoly, the organizations have fallen back on one of the oldest resource available to them – the human resource. Organizations, have off late, realized that a satisfied and contended employee is the primary key to attain better customer satisfaction, revenues and profits that they plan to achieve. Every industry differs from each other, in terms of the workplace environment, compensation structure, availability of the manpower, customer profiles and many such other factors. The authors decided to investigate the levels of employee job satisfaction in seven different industries, namely insurance, banking and finance, travel and tourism, outsourcing, education, healthcare and logistics industry. Taking a sample of 20 employees from each industry, the authors subjected the data collected from these 140 correspondents to the ANOVA tests using f – statistic to analyze the difference in the average job satisfaction levels in these industries.The results clearly exhibited that the healthcare, education and travel and tourism exhibited high levels of job satisfaction, whileinsurance, outsourcing and logistics industries figured low on this parameter. The paper closes with discussing the practical implications of this study for the industry and the scope of future work.
Motivation and Satisfaction at Special Sport Event
Authors:   Universiti Teknologi Malaysia – AHIBS, Malaysia., Ahmad Siti Nurhafizah , Sulaiman Zuraidah ,   Universiti Teknologi Malaysia – AHIBS, Malaysia., Zainab Khalifah ,   Universiti Teknologi Malaysia – AHIBS, Malaysia.
Published: May 2020

Recently, volunteering has become a global trend and the number of volunteers has increased significantly at special events. Sports events are the most common special events which can be defined as a function or "occasion" that aims to raise money for the community or the non-profit group that organizes it, in terms of fundraising. There are many types of special events, each with its own complexity and relevance to different groups. Many sporting events rely on volunteers who play a crucial role in the success of an event. It is therefore the responsibility of the organizer and the management to understand the motivation and satisfaction of the volunteers, which will lead to new volunteers for future sporting events. Understanding the motivations of volunteers and ensuring that they can successfully accomplish the different roles required to achieve their goals is challenging. In order to recruit and retain enough volunteers at sporting events, it is important to understand clearly motivating factors that lead to volunteer satisfaction, to develop a successful volunteer retention strategy so that the organizer can recruit and keep enough volunteers at sporting events. Nevertheless, with these limitations, this study will highlight the motivational factors that can affect volunteering. The researcher's project should therefore build on the ideas that emerge from the theory of self-determination (SDT). The SDT is applied in this conceptual research paper to discuss the volunteers’ motivation to volunteer for special sporting event using VMS-ISE motivation scale. The volunteers' satisfaction with volunteering at special sporting events is also measured. This research ends with a conceptual framework in which motivational factors and the satisfaction of volunteers are discussed.
Improving Decision Tree Forest using Preprocessed Data
Authors:   Department of Computer Science and Engineering, Shri Guru Gobind Singhji Institute of Engineering and Technology, Nande, India, Panhalkar* Archana R. , Doye Dharmpal D. ,   Department of Electronics and Telecommunication, Shri Guru Gobind Singhji Institute of Engineering and, Technology, Nanded, India.
Published: May 2020

Random forest is one of the best techniques in data mining for classification. It not only improves accuracy of classification but performing best for various data types. Data mining researchers concentrated on improving random tree forest by constructing trees by using various methods. In this paper, we are improving decision forest by applying various preprocessing techniques. Decision tree forest is created by using bootstrapped samples. Trees created using preprocessed data improves not only accuracy of classification but also improves time required to construct forest. Experiments are carried out on various UCI data sets to show better performance of our proposed system.
The use of Machine Learning Techniques in a Web-Based Learning Diagnosis System Program
Authors:   Dept. of CS, GIS, GITAM( Deemed To Be UNIVERSITY) , Visakhapatnam, Chandolu* Sunil , Vogolu S. Prasad Babu ,   Dept. of CS, GIS, GITAM( Deemed To Be UNIVERSITY)., Usharajeswari D. ,   Dept. of CS, GIS, GITAM( Deemed To Be UNIVERSITY),
Published: May 2020

This work proposes a canny learning finding framework that bolsters a Web-based topical learning model, which expects to develop students' capacity of information incorporation by giving the students the chances to choose the learning themes that they are intrigued, and gain information on the particular subjects by surfing on the Internet to look through related adapting course-product and examining what they have realized with their associates. In view of the log documents that record the students' past web-based learning conduct, an insightful analysis framework is utilized to give fitting learning direction to help the students in improving their investigation practices and grade online class interest for the teacher. The accomplishment of the students' last reports can likewise be anticipated by the conclusion framework precisely. Our trial results uncover that the proposed learning finding framework can proficiently assist students with expanding their insight while surfing in the internet Web-based "topic based learning" model.
1 Published By: Blue Eyes Intelligence Engineering & Sciences Publication Retrieval Number: F8522038620/2020©BEIESP DOI: 10.35940/ijrte.F8522.038620 Journal Website: www.ijrte.org Energy Bio-Inspired For Manet
Authors:   Department of Computer Science and Engineering, Guru Nanak Dev Enginerring College (G.N.E), Ludhiana, Punjab, Sharma* Rohan , Bhambri Pankaj ,   Department of Information technology, Guru Nanak Dev Engineering College(G.N.E), Ludhiana, Punjab, Sohal Amandeep Kaur ,   Department of Computer Science and Engineering, Guru Nanak Dev Enginerring College (G.N.E), Ludhiana, Punjab.
Published: May 2020

Mobile Ad-Hoc Network (MANET) is a collection of wireless mobile hosts forming a temporary network without the aid of any stand-alone infrastructure or centralized administration. Due to the mobility of the nodes in the network, these nodes are self-organizing and self-configuring. Not only they act as hosts, but also, they function as routers. In MANETs, routing protocols are necessary to find specific paths between the source and the destination. The primary goal of any ad-hoc network routing protocol is to meet the challenges of the dynamically changing topology. Therefore, an efficient route between any two nodes with minimum routing overhead and bandwidth consumption should be established. The design of these routing protocols is challenging due to the mobility and the dynamic nature of the mobile ad-hoc networks. MANET routing protocols are categorized into two types: proactive and reactive. In this paper, the MANET characteristics and challenges are highlighted. Moreover, a comparison is conducted between three protocols: namely, DSDV, DSR and AODV in terms of both properties and performance.
Electromagnetic Fields As An Element of Spacecraft Construction
Authors:   Phd, programmer, Kyiv, Ukraine., Berhulov* Anton
Published: May 2020

The article suggests the best option for designing a spacecraft. The process of activity of proposed structure of a spacecraft in outer space must be based on the acceleration due to the electromagnetic fields of the Solar System and the Milky Way Galaxy. Purpose of the study. Suggest a design solution to create a model of a spacecraft that is accelerated in motion using space electromagnetic fields. The relevance of the chosen topic is based on the need to address issues related to the limited resources of the planet, significant levels of overpopulation, problems of demography, ecology, sociology and political life. Novelty. It is determined that in order to obtain calculations of the acceleration of 1 g of spatial arbitrary direction, it is necessary to make measurements along the chain and to deduce the amount of charge on the useful surface of the object. Methodology. Magnetic field strength measurement method, electromagnetic measurement method. Results and conclusions. The article presents a scheme of creating a modified magnetic type engine, the result its process of activity will be an acceleration of 0.05 g. It will be achieved by free movement in outer space with the appropriate current.
Variation in the Properties of Spot Weldments of Cold Rolled Mild Steel Welded with Filler Metal by Preheating
Authors:   Asst Professor, Department of Mechanical Engineering, Government College of Engineering, Chandrapur (MS)-INDIA,, Ambadkar* Sushil T , Bhope Dr.Deepak V. ,   Professor, Department of Mechanical Engineering, Rajiv Gandhi College of Engineering, Research and Technology, Chandrapur (MS)-INDIA
Published: May 2020

Filler metal addition has been verified as an effective way to refine mechanical behaviour of cold rolled mild steel in resistance spot welding.Negligible quantity of filler metal if added to the spot weld is found to improve mechanical properties of spot weldments , if no variation in composition of base metal and filler metal is allowed.. Looking at practical applications, sensitivity of the Resistance Spot Welding process with filler metal to variation in preheating treatment were experimentally investigated.Filler metal quantity was from 30 mg to 70 mg and preheat heat treatment was kept between 20% to 60%.The material of the filler metal is same as that of base metal and was added at the centre of overlap in lap joint.The experimentation was carried out by spot welding of specimen varying filler metal from 30 mg to 70 mg maintaining preheating cycle constant at 20%.The experimentation was then repeated for different preheat cycles.For 20% to 60% of preheat cycle, maximum breaking point was found to be varying linearly with increase in preheat level. Overall improvement in load bearing and energy absorption capability was observed as majority of specimen fail under the button pullout mode.
An Analysis of Drivers Affecting the Implementation of Environmental Management System in Indian Automotive Industries
Authors:   Research Scholar, Department of Mechanical Engineering, Deenbandhu Chhotu Ram University of Science and Technology Murthal, ( Sonipat), Haryana, India, Singh O Ajit , Narwal M.S. ,   Professor, Department of Mechanical Engineering , Deenbandhu Chhotu Ram University of Science and Technology, Murthal (Sonipat), Haryana, India
Published: May 2020

Due to various government regulations and many other environmental related problems industries have to focus on these issues if they want to make business in the competitive market. Implementation and certification of Environmental Management System (EMS) is very important for industries as it will help to remove many environmental related issues and for sustainable development. Environmental related issues play different role in developed and developing countries. Developed countries have set up their own environmental standards and regulations which should be fulfilled by industries of other countries to have business with them. Regulatory pressure play important role to save environment but other factors like customer awareness, competitor’s pressure, societal pressure etc. are also important. Environmental issues related to automotive sectors need appropriate investigations in developing countries. Various drivers which create pressure on companies to adopt EMS practices are identified by extensive literature review which is the main objective of this paper. It includes providing a background on related concepts, literature review on various environment related issues and the concluding remarks for this review to save environment to some extent.
NFC – Blockchain as a Secure Solution
Authors:   Assistant Professor, Department School of Computer Sci-ence and IT, Jain (Deemed-to-be-University), Bangalore, Karnataka, India,, V* Mahesh
Published: May 2020

Near Field Communication (NFC) has remained as attractive from many years for customers as trendy for portable devices. Its utilization is growing day by way of day by fast pace as expand in the accessibility of the NFC enabled devices in the marketplace. It is developed for the integration with handy mo-biles, which could communicate with each other mobiles or read information on tags and cards. NFC device can also be used in card emulation mode, to provide flexibility with contactless smart card devices. This is very affective in allowing NFC enabled smart-phones to exchange typical contactless plastic playing cards used in public transport, get entry to control, ATMs and different comparable applications. The most pertinent concern would be that how a good deal inclined the new technological know-how is and it is evaluated to many susceptible types of out-breaks. This research provides solution to this hassle using blockchain technology.
Aerodynamical Optimization of Adaptable Span Wing of Telescopic Spar and Foldable Wing Tip using Computational Fluid Dynamics
Authors:   Aeronautical Departement, Excel Engineering College, Komarapalayam, India., Surya K* Naga , N Karthikeyan ,   Aeronautical Departement, Excel Engineering College, Komarapalayam, India., M Joshva ,   Aeronautical Departement, Excel Engineering College, Komarapalayam, India., Robert P Mortin ,   Aeronautical Departement, Excel Engineering College, Komarapalayam, India., S Karthik ,   Aeronautical Departement, Excel Engineering College, Komarapalayam, India.
Published: May 2020

The project aims to analyze aerodynamic coefficients of adaptable span wing, which increases the lift of the aircraft at various flight conditions by increasing the span of the wing and also decreases its span to adapt Group V airport gate, which is restricted to a maximum 65 m wingspan of aircraft. Present days there is no adaptable wing that changes its shape or its span. All the commercial airplane wings are only fixed wings. To increase more lift at the time of takeoff or landing, the pilot has to stay with the ailerons and flaps. But at the time of the cruise, flaps give more induced drag. Adaptable span wing paves a way to have a lift at any time with less induced drag. Airports are 6 types based on the maximum span of their gates. To increase the lift, it is easy to increase the span of a wing and to keep it fixed, but if the span is more than 65 m, it falls under the category of Group VI airports. These Group VI airports are less available, and Group V airports are mostly available worldwide. This project aims to increase the span beyond 65 m and also to accommodate in Group V airports. Methods of Telescopic spar expansion and foldable wingtip are used. For this work Boeing 777-300 ER Wing with its airfoil is taken as a reference. One side of the wing is taken for analysis, and the models have made in CATIA V5 of various length from its original half span 29.3m to 34.3m by increasing one by one metre. Also, with foldable wingtip span is increased at its unfolded state with 2m. Each and every model is analyzed with a variable angle of attack, and lift curves were obtained. These curves help us to determine the optimized span of the adaptable wing.
Implementation of Spo - Mppt for Pv Panel using Sepic Converter
Authors:   Assistant Professor, Department of Electrical and Electronics Engineering, Sri Krishna College of technology, Coimbatore, India., P* Swapna. , J Elzalet. ,   Assistant Professor, Department of Electrical and Electronics Engineering, Sri Krishna College of technology, Coimbatore, India., Guru.S Raja ,   Department of Electrical and Electronics Engineering, Sri Krishna College of technology, Coimbatore, India., R Savundarya. ,   Department of Electrical and Electronics Engineering, Sri Krishna College of technology, Coimbatore, India., S Subamathi. ,   Department of Electrical and Electronics Engineering, Sri Krishna College of technology, Coimbatore, India., Balaji.B Vignesh ,   Department of Electrical and Electronics Engineering, Sri Krishna College of technology, Coimbatore, India.
Published: May 2020

Recent researches in energy has been made mainly with solar energy due to its easy availability and free of cost and easy extraction. Though there are several ways to extract energy, not all methods seems to be efficient. To obtain maximum efficiency and power the smartest algorithm has to be handled and should be effectively used with reduced losses. This paper is implemented using newfangled technique called “self-tuned perturb and observe algorithm (SPO)” that tracks the maximum power as quick as possible and is converted into required level of voltage with reduced ripples using SEPIC converter. This proposal improves the response and efficiency of the tracking with lost implementation cost, eliminating the limitations in the existing methods and also the limitations that cannot be solved using the other modified methods is also encountered and the system is altered.
Gas Leak Detection, Monitoring and Safety System using IOT
Authors:   Assistant Professor, CSE, Sri Krishna College of technology, Coimbatore, Tamilnadu., Kalpana* Ms. P. , Kumar Mr. Saanjeev ,   K R of Final year computer Science Student from Sri Krishna College of Technology., Vignesh Mr.Sakthi ,   R of Final year computer Science Student from Sri Krishna College of Technology., R Vignesh ,   computer Science Student from Sri Krishna College of Technology.
Published: May 2020

Smart gas leak is based upon controlling gas leak and actuating some smart notifications so that we are still in safety. Microcontroller with Wi-Fi module is used for communication with mobile phone. Using Arduino IDE program, we pass a command to the microcontroller, then the microcontroller converts the given value into digital output which can be observed and analyzed. In this project, connected to Wi-Fi module using smartphone will help us to communicate with the LPG solenoid valve to cut the supply of gas when a leak is detected. When the gas leak is detected by the gas sensor the controller actuates the LPG valve to cut the supply of gas also notifying the operator, owner and mails it to the gas company for immediate action
Design and Analysis of PMSM Traction Motor for Passenger Car Applications
Authors:   Department of Electrical and Electronics Engineering, Kongu Engineering College, Erode, India., N Lavanya , N Senthilnathan ,   Professor, Department of Electrical and Electronics Engineering, Kongu Engineering College, Erode, India., D Sakthivadivel ,   Robert Bosch Engineering and Business Solutions Private Limited, Coimbatore, India., Raj P Obuli ,   Robert Bosch Engineering and Business Solutions Private Limited, Coimbatore, India.
Published: May 2020

In recent years, owing to the severity of global warming and deduction in petroleum resources quicken the researches to move on sustainable energy resources. Thereby E-mobility has been picturized and fully electric vehicle technology is the major research area nowadays. This paper presents the design methodology of electric traction motor requirement by considering vehicle dynamics and passenger car parameters. Pertaining to the vehicle desired performance, the maximum optimal power is computed. Followed by that power, torque Vs speed profile is determined and the same is compared with the urban and extra-urban drive cycle to estimate the average power and torque. Then the Interior PMSM 2D Finite Element Method (FEM) analysis is planned to carry out with the geometries obtained from analytical calculations for two different slot-pole combinations. The performance differences such as torque Vs speed profile, No-load Back EMF and torque ripple are investigated.
Calculation of the Height of Capillary Rise of Water in Soils
Authors:   Ph.D., Salamovich* Tulakov Elmurad ,   Department of buildings and structures, Samarkand State Architectural and Civil-Engineering Institute, Samarkand. Uzbekistan, Tolibovich Inoyatov Dilovar ,   applicant; Department of buildings and structures, Samarkand State Architectural and Civil-Engineering Institute, Samarkand. Uzbekistan, Sarabek o’g’li Kurbonov Alijon ,   applicant; Department of buildings and structures, Samarkand State Architectural and Civil-Engineering Institute, Samarkand. Uzbekistan
Published: May 2020

Rain and melt water will form temporary accumulations of surface water on the surface. When they seep into the ground, temporary streams of leaky filter water are formed. If a limited section of water-resistant soil layer or the roof of an underground structure is encountered in the path of these waters, a temporary aquifer-the upper layer of ground water-may form above them. In temporary and permanent aquifers, the soil pores are completely filled with gravitational water, the degree of water saturation is equal to one, and there is pressure under the surface of underground water. Above this surface is a zone of capillary moisture, while the level of capillary rise is determined by the granulometric composition of the soil and ranges from tens of centimeters in sand to several meters in dusty and clay soils. Capillary water rises in the ground on free canals formed by mutually communicating pores, or is kept in them in limbo.The lifting of the liquid in the capillary continues until the gravity acting on the column of the liquid in the capillary becomes equal to the resulting force. Capillary water penetrates from the ground into the walls and rises to a height of up to 2 meters. The normal moisture content of the brick walls is 0.02...0,03, and in the case of unprotected contact with moist soil is increased to 0.15...0.25. On the inside of the walls there is a damp, mildew. Evaporating water increases humidity in the room, and the salts released when it evaporates from salt solutions lead to peeling paint, destruction of plaster and wall material.
Electrical Load Forecasting using SVM Algorithm
Authors:   EIE Department, Thapar Institute of Engineering and Technology, Patiala (INDIA)., Nijhawan* Parag , Bhalla Vinod Kumar ,   CSE Department, Thapar Institute of Engineering and Technology, Patiala (INDIA)., Singla Manish Kumar ,   EIE Department, Thapar Institute of Engineering and Technology, Patiala (INDIA)., Gupta Jyoti ,   EIE Department, Thapar Institute of Engineering and Technology, Patiala (INDIA).
Published: May 2020

Electrical load demand is variable in nature. Also, with the increase in technological development and automation, electric load demand tends to rise with time. For this, our generation facilities should be adequate 24x7 to meet the consumer’s load demand effectively. Therefore, load demand needs to be predicted or forecasted to avoid the energy crisis. In this paper, support vector machine (SVM) algorithm is explored for electric load forecasting. The live load data for the period of three months i.e., January to March, 2015, from a typical 66kV sub-station of the Punjab State Power Corporation Limited (PSPCL) for a selected site at Bhai Roopa sub-station, Bathinda, situated in the Punjab state of India, is acquired for the presented simulation study. The collected live data is divided into three categories, i.e., validation, training, and testing for the simulation study considering a SVM approach. Then, based on the environmental data input for the next 50 hours, the electric load is predicted. The obtained results from simulation were validated with the live load data of the selected site and found to be within the permissible limits. The mean square error (MSE), root-mean-square error (RMSE), mean absolute error (MAE), absolute percentage error (APE), mean absolute percentage error (MAPE) and sum of squares error (SSE) were calculated to show the effectiveness of the proposed support vector machine (SVM) algorithm based STLF. SVM is one of the effective machine learning algorithms. The errors so obtained clearly suggest that the proposed SVM algorithm gives reasonably accurate results, and is reliable for electric load forecasting.
Smart Vision Based ATM Transaction using Deep Learning Neural Networks
Authors:   Assistant Professor, CSE Department, Easwari Engineering College, Chennai, Tamil Nadu., Devi S* Kalpana , Pranusha A ,   CSE Department, Easwari Engineering College, Chennai, Tamil Nadu., Priyanka S ,   CSE Department, Easwari Engineering College, Chennai, Tamil Nadu., Abhishek R S Ram ,   CSE Department, Easwari Engineering College, Chennai, Tamil Nadu.
Published: May 2020

The necessity of credit cards and online payment techniques become extremely popular and simple to perform because of easy and safe money handling techniques. The usage of the ATM by visually challenged people is a problem. Though there are certain features for the visually challenged users like speech instructions, there is no conformity of the amount entered or of that transacted. As a result, these people have no security, ease or comfort during the ATM transactions. So, there is a need to provide a method for the visually challenged people to effortlessly perform ATM transactions with better security. Our proposed system designed a device that can act as an aid for the visually challenged to transact in the ATM. The devised system recognizes the amount to be transacted as entered on the screen using Optical Character Recognition (OCR) and conveys it to the user via speech. After transaction, the banknotes are recognized by the system using image recognition through vital banknote feature extraction and the verification is provided regarding the amount transacted and the intended amount.
Sensor Technology for Accident Detection
Authors:   E&TC department, Bharati Vidyapeeth (deemed to be) University College of Engineering, Pune, India., Prabhakar* Prof. A Y. , Agrawal Nidhi ,   E&TC department, Bharati Vidyapeeth (deemed to be) University College of Engineering, Pune, India., Singh Himanshu ,   E&TC department, Bharati Vidyapeeth (deemed to be) University College of Engineering, Pune, India., Kapoor Shiksha ,   E&TC department, Bharati Vidyapeeth (deemed to be) University College of Engineering, Pune, India.
Published: May 2020

As we know automobile industry is currently booming in india due to which number of vehicle also increasing day by day. In financial year 2019 approx 4.4 million cars were sold in indiadue to rise in number of vehicles rate of accident is also increasing. In year 2018 almost 1.5 lakhs lives were lost due to car accident. In our country many people still hesitate in helping a road accident victim because of legal formalities due to which many people loose there lifes. This projectwill help in detecting the accident and calling the medical assistance as soon as possiblewiththe helpof different sensorsandArduino uno.The aim of this project is to provide for the necessary aid to the victim and inform and report the accident in the least possible time by using IOT and sensors
An Effective Technique on Clustering in Perspective of Huge Data Set
Authors:   Computer Application, Integral University, Lucknow U.P. ,India, Ahamad* Muhammad Kalamuddin , Bharti Ajay Kumar ,   Computer Science, Maharishi University of Information Technology
Published: May 2020

Analysis of data plays a crucial job considering the different phenomenon. It explores the prior knowledge, consisting of development across the extensively different communities. Cluster technique is the collecting of data object placed into groups. Therefore objects are the same nature or similar place within a cluster different nature (i.e. dissimilar) put in other cluster. Differences and likeness are refereed on the attribute values say that the objects involved in measuring distance. We have reviewed a few clustering techniques for data sets in data mining of various field of computer science and engineering, statistical, machine learning and a novel attracting field of demanding efforts. Several closely related concepts of neural network, fuzzy and genetic algorithm are also discussed. In this research paper to also discussed the facebook data set to mining the attributes from the cluster set to changing the mean square error 0-10 -6 and also discuss measuring the performance.
A Hybrid Algorithm in Reinforcement Learning for Crowd Simulation
Authors:   Research Scholar, School of IT and Science, Dr.G.R.D College of Science, Coimbatore, Pavithra* K. , Radhamani G. ,   Professor & Director, School of IT and Science, Dr.G.R.D College of Science, Coimbatore
Published: May 2020

Exploiting the efficiency and stability of Dynamic Crowd, the paper proposes a hybrid crowd simulation algorithm that runs using multi agents and it mainly focuses on identifying the crowd to simulate. An efficient measurement for both static and dynamic crowd simulation is applied in tracking and transportation applications. The proposed Hybrid Agent Reinforcement Learning (HARL) algorithm combines the Q-Learning off-policy value function and SARSA algorithm on-policy value function, which is used for dynamic crowd evacuation scenario. The HARL algorithm performs multiple value functions and combines the policy value function derived from the multi agent to improve the performance. In addition, the efficiency of the HARL algorithm is able to demonstrate in varied crowd sizes. Two kinds of applications are used in Reinforcement Learning such as tracking applications and transportation monitoring applications for pretending the crowd sizes.
An Automatic Classification of Diabetics with Multilayer Perceptron using Machine Learning
Authors:   Associate Professor, Department of CSE, St.Joseph's College of Engineering,, Vinnarasi* Dr.F.Sangeetha Francelin , Rose Dr.J.T.Anita ,   Associate Professor, Department of CSE, St.Joseph's College of Engineering, Dr. Jesline  ,   Associate Professor, Department of CSE, St.Joseph's College of Engineering
Published: May 2020

Diabetes mellitus is one of the major non-transmittable sicknesses which have unimaginable impact on human life today. Enormous Data Analytics improves social protection structure through the reduction run time and the perfect cost. Automated investigation impacts the exact appraisal of diabetics in a successful way. A diabetic influences individuals in different pieces of the body. A PC technique on the shade diabetics ought to be inspected to analyze the various impacts definitely. This is the pre-screening framework for early determination by diabetologist. The proposed work provides the report on the order of injuries from diabetic's dataset with fundamental advances, for example, pre-preparing and characterization. Here Multilayer Perceptron investigation is utilized to separate the highlights. The re-enactment quantifies the precise finding and affirms the exactness esteems up to 95% for Classification.
Mathematical Simulation of the Movement of a Machine Unit of a Saw Cylinder with Distributed Parameters
Authors:   Faculty of technology of cotton industry, Tashkent, Institute of Textile and Light Industry, Uzbekistan, Khayrullaevich* Prof. Ibragimov Farkhod , Akbaralievich Prof. Ortikov Oybek ,   Faculty of technology of cotton industry, Tashkent, Institute of Textile and Light Industry, Uzbekistan, Gafurovna Prof. Madjidova Shoira ,   Faculty Technology of light industry and design, Tashkent, Institute of Textile and Light Industry, Uzbekistan, Ashurovich Prof. Ochilov Tulkin ,   Faculty Technology of light industry and design, Tashkent Institute of Textile and Light Industry, Tashkent, Uzbekistan, Basitovna Senior teacher Mirzaakhmedova Khuriyat ,   Faculty of technology of printing, Tashkent Institute of Textile and Light Industry, Tashkent, Uzbekistan
Published: May 2020

Dynamic characteristics of a saw gin are considered as the subsystems with concentrated and distributed parameters. The graphs plotted as a result of studying the machine units made it possible to determine the maximum values of the angle of relative rotation and the rotation angle of the saw cylinder shaft under torsion.
Machine Learning Based Nutrient Deficiency Detection in Crops
Authors:   Department of Electronics and Communication Engineering,Agni college ofTechnology,OMR, Thalambur,Chennai, T* Amirtha , T Gokulalakshmi ,   Department of Electronics and Communication Engineering,Agni college of Technology,OMR, Thalambur, Chennai, P Umamaheswari ,   Department of Electronics and Communication Engineering,Agni college of Technology,OMR, Thalambur, Chennai, Rajasekar T ,   Department of Electronics and Communication Engineering,Agni college of Technology,OMR, Thalambur, Chennai
Published: May 2020

Indian economy is mainly based on Agriculture, involves the process of cultivating certain plants for producing food and many other desired products and raising of domesticated animals. Nutrients play a major role in agriculture and crop production. There are number of reasons for decreasing of crop yield. One such factor involved is nutrient deficiency. The proper detection of nutrient deficiency and appropriate fertilizer for that deficiency are the major problems faced by many farmers. Hence, in order to improve productivity, Automation in agriculture evolved drastically in recent years. This paper aims at designing an automatic robotic vehicle which detects the nutrient deficiency in crops just by simply capturing the image of leaves of the crop plants. The captured image is then processed by using the convolutional neural networks (CNN). This technique uses captured image, processing it by comparing it with the already available dataset. When the input image is matched or partially matched with any one of the existing images in the dataset, it will provide the result of nutrient deficiency in crops, in terms of the percentage. The name of disease associated with nutrient deficiency and appropriate amount of fertilizer will be displayed in the LCD. This will reduce the problems of the labour force and the burden of farmers.
Importance and Responsibilities of Internet of Everything (IOE) For Monitoring and Controlling in Smart Agriculture Systems.
Authors:   Electronics & Communication Department, Suresh Gyan Vihar University, Jaipur, India., Chinchawade* Mr. Amit Jaykumar , Lamba Dr. Onkar Singh ,   H.O.D. & Professor, Electronics & Communication Department, Suresh Gyan Vihar University, Jaipur, India.
Published: May 2020

Nowadays, Internet Of Everything (IOE) plays an important role in varies sectors like Home Automation, Smart Cities, Education, Industry, Healthcare, smart grid, business, supply chain Management, technology and in Agriculture. The implementation IOE technology in the Agricultural system makes the Farmers to monitor their Agricultural Fields & crops and controls the things, remotely from their Mobile Phones. The various Wireless Sensor Network (WSN) can sense the Parameters and sends the measured and observed data to the farmers through IOE network. Accordingly, things can be controlled smartly. This helps in applications like soil moisture and nutrients Sensing, Reporting atmospheric condition, custom fertilizer profiles supported soil chemistry, Controlling water usage for optimal plant growth, it also include farm vehicle tracking, storage monitoring etc. This paper focuses on Importance and Responsibilities of IOE in agricultural Systems, those results in smart framing and will minimizing the losses in the Agriculture.
Fish Production Forecasting in India using Nested Interval Based Fuzzy Time Series Model
Authors:   Assistant Professor In Department Of Mathematics, Swami Vivekanand Subharti University, Meerut, Uttar Pradesh, India., Rana* Amit Kumar
Published: May 2020

The livestock and agriculture is like lifeline of Indian villagers and economy. India is ranked first in livestock population and second in fish production. Fish is major part of eating in south and most of eastern part of India and use aquaculture for fish production India s also a major producer of fish through aquaculture, and ranks second in the world. In such condition forecasting of livestock is important in making policies and marketing, planning of products related to livestock and fishes. Fuzzy time series (FTS) is of great importance for such forecasting. But the problem with FTS forecast lies with the accuracy. There are many methods for linguistic values as variables for data of time series, but limitations starts with the error in forecasted and actual value. The present work studies the forecasting of fish production in India rainfall forecasting by FTS using two interval differences is proposed. The presented method is tested on the official data of deptt. of Animal Husbandry, Dairying and Fisheries, Government of India and compared with Chen’s models used for university enrollment. The forecasted values shows better result compared to Chen model.
Privacy Preserving for Sensitive Data using Data Masking Technique
Authors:   Dept. of CSE, Gitam University, Bangalore, India., J A Madhurya , Pillai Beena G ,   Dept. of CSE, Gitam University, Bangalore, India.
Published: May 2020

In recent times, most the people are using internet where they are going to share sensitive information with other individual or with an organization like hospital, banking sector or business companies. So such huge amount of information will be stored on cloud. The attackers may try to hack the sensitive data and will try to misuse that data. So here the security for data comes first. There are numerous methods available to provide security for the data that is being shared among individuals or organizations. Most of the organizations take enough precautions to secure data that is shared with third party organizations. In recent times providing privacy for the sensitive data is high priority. The objective of this research is to discover the various data masking solutions for different applications for providing security to the data. Established data privacy method like AES or DES encryption technique proves to be proficient but time consuming. In order to avoid time consumption and to provide privacy for the data being shared, this paper proposes a information hiding method based on format-preserving encryption for sensitive data. This method will masquerade only sensitive data and make sure the encrypted data is still in the original format where it doesn’t consume much memory space. Organization like hospitals or banking sector or any business companies can use this format-preserving method to enhance the security of the data being shared. Tested the information on Spark illustrate that information hiding method based on format-preserving encryption can provide data privacy for sensitive data and preserve data format.
Ecofriendly Wind & Solar Portable Charger Power for Mobile Devices
Authors:   ECE Departments, Velalar College of Engineering and Technology,Erode-638012, Tamilnadu, India,, M* Vijayan. , M Jeevitha ,   ECE Departments, Velalar College of Engineering and Technology,Erode-638012, Tamilnadu, India,, V Sharmiladevi ,   ECE Departments, Velalar College of Engineering and Technology,Erode-638012, Tamilnadu, India, S Yuvasri ,   ECE Departments, Velalar College of Engineering and Technology,Erode-638012, Tamilnadu, India
Published: May 2020

The sun arranged essentialness is changed over to electrical imperativeness by photo voltaic cells. This imperativeness is taken care of in batteries during day time for utilizing the comparable during night time. Likewise wind essentialness is changed over to electrical imperativeness by a generator-turbine plan and driven by wind power This task manages a controlled charging component which over charge, profound release and under voltage of the battery. Right now sun powered board and a breeze turbine is utilized to charge a battery. A lot of operation amps or arduino are utilized as comparators to constantly screen board voltage, load current and so on.Signs are additionally given by a green LED to completely energized battery while a lot of red LEDs to demonstrate under charged, over-burden and profound release condition. Charge controller likewise utilizes MOSFET as force semiconductor change to guarantee remove the heap in low battery or over-burden condition. A transistor is utilized to sidestep the sunlight based vitality to a fake burden while the battery gets completely energized. This shields the battery from getting over charged.
Remote Monitoring System through IoT and WSN for Congestion Free Access
Authors:   E&TC department, Bharati Vidyapeeth (deemed to be) University College of Engineering, Pune, India., Prabhakar* Prof. A Y. , Sahil  ,   E&TC department, Bharati Vidyapeeth (deemed to be) University College of Engineering, Pune, India., Dadhich Aditi ,   E&TC department, Bharati Vidyapeeth (deemed to be) University College of Engineering, Pune, India., Sharma Deepak ,   E&TC department, Bharati Vidyapeeth (deemed to be) University College of Engineering, Pune, India.
Published: May 2020

Many times, due to carelessness of nurses, huge number of patients and inattentiveness of hospital staff, some of the patients go unmonitored, that could lead to pretty serious situation. The IoT is the network of objects embedded with electronics, wireless sensors and network connectivity that enables such objects to collect and exchange data. The IoT and WSN allow objects to be sensed, monitored and controlled remotely using networks. Smart healthcare plays really important role in healthcare applications using wireless sensors. In this paper we have used a system which includes combination of wireless sensor technology and IoT. Using this system one can easily monitor a number of patient data at the same time and cases of emergency can be reported and medication can be provided on time.
Genetic Algorithm Based Gabor CNN For Palmprint Recognition
Authors:   Dept of ISE, AJ Institute of Engineering and Technology Mangalore affiliated to VTU, Belgaum, India., Veigas* John Prakash , Kumari M Sharmila ,   Dept of CSE, PACE, Mangalore, India., Satapathi Gnane Swarnadh ,   Dept of ECE, AJIET Mangalore, India.
Published: May 2020

In the field of biometrics, palmprint recognition has received great interest and made tremendous progress in the past two decades. In palmprint recognition, the important step is to extract the discriminative features from the image and compare it with templates for identification and verification tasks. In this paper, a new genetic-based 2D Gabor filter with the Convolutional Neural Network is presented. The scale and orientation details captured by Gabor filters are optimized based on central frequency, which is determined based on genetic algorithm fitness function. The proposed technique is implemented on four publicly available palmprint datasets- PolyU, CASIA, IITD, and Tongji. Experimental results confirm that the proposed technique achieves better accuracy when compared to Palmnet.