bluuebunny/crossref_metadata_2025 huggingface dataset:
Key Elements of Technology Package Influencing Annual Tea Production of Small Tea Growers (STGS): Insight from Biswanath District of India
Authors:   Research scholar, Department of Economics, Gauhati university, Guwahati, Kamrup, Assam, India, Gogoi* Aditya
Published: December 2019

Though the tea sector of Assam is primarily dominated by the estate sector comprising of large tea gardens, the relevance of small scale tea plantation can never be denied as nearly 30% of the state’s tea production is contributed by Small Tea Growers (STGs). In fact the quality of green tea leaves produced by the Small Tea Growers (STGs) has outclassed that of the tea leaves produced by the estate sector. Since tea plantation is a technology intensive practice, the growers are bound to adopt certain technology components like artificial fertiliser, artificial pesticide, HYV clone, artificial water supply facility, etc. All these elements constitute a technology package which helps the tea growers to reap greater benefit in tea cultivation. This study is a humble attempt to investigate the marginal impact of each element of the technology package adopted by the Small Tea Growers (STGs) on their annual green tea leave production. Moreover it also tries to figure out the jeopardised effect of the technology package used in tea cultivation on environment and health.
Twitter Data Analysis using R
Authors:   Dept. of Computer Science and Technology, Aarupadai Veedu Institute of Technology, Vinayaka Missions Research Foundation Chennai, India, S* R.jaichandran , Karthik K. ,   Dept. of Computer Science and Technology, Aarupadai Veedu Institute of Technology, Vinayaka Missions Research Foundation Chennai, India, Rajaprakash S. ,   Dept. of Computer Science and Technology, Aarupadai Veedu Institute of Technology, Vinayaka Missions Research Foundation Chennai, India, Gowtham Yerasani Aditya ,   CSE, Aarupadai Veedu Institute of Technology, Vinayaka Missions Research Foundation Chennai, India, Prabhu H H.Dhrithimanth ,   Final year CSE, Aarupadai Veedu Institute of Technology, Vinayaka Missions Research Foundation Chennai, India
Published: December 2019

Big Data is an emerging concept in the field of Data mining. It has numerous applications in real life. Most data are coming from social media networking Websites comprising of structured and unstructured data including Text, video, images etc. The main characteristics can be understood by five v’s. Twitter is one among the major evolving social media. Twitter Data analysis can be give you a wide perspective of public opinion regarding any product, public opinion etc which can be used to mine the knowledge from the data. For example, prediction analysis, product review, favourite among people tweets about GST (Goods and service tax).
An Authorized ClouDedup in Hybrid Cloud using Triple Data Encryption Standard
Authors:   Assistant Professor in Department Of Computer Science and Engineering from 2016 at Sree Vidyanikethan Engineering College (Autonomous), Tirupati., Ghamya* K , Gandhimathi Suma Kamalesh ,   Associate Professor in Department Of Computer Science and Engineering from 2016 at Sree Vidyanikethan Engineering College (Autonomous), Tirupati., Bhargavi Vemala ,   Assistant Professor in Department Of Computer Science and Engineering from 2018 At Sree Vidyanikethan Engineering College (Autonomous), Tirupati.
Published: December 2019

Nowadays, data deduplication has become more essential for cloud storage providers because of continuous increase in number of users and their data file size. The users are allowed to access server anytime and anywhere to upload/download their data file. Whenever data is retrieving, it leads to several problems associated to the confidentiality and privacy. For protection of data security, we proposed an efficient technique called ClouDedup which assures file deduplication. To secure the confidentiality of critical data while supporting ClouDedup checker, we proposed a triple data encryption standard (TDES) technique to encrypt the data prior to uploading the data file in cloud storage. The privilege level of user is verified with data to assure whether he is an authorized user or not. The analysis of security demonstrates that our proposed security method is safe and secure. We prove that our proposed ClouDedup method has minimal overhead compared to normal operations. The process aims to use authorized ClouDedup checker with a triple data encryption standard (TDES) technique to minimize duplication copies of data in hybrid cloud storage and conducted test experiments using our prototype.
Gaussian Immature Bayes Classifier and Uneven Lay down Conception for Information Flow Group in Frequent Concept Drift
Authors:   Associate Professor, Institute of Aeronautical Engineering, Dundigal, Hyderabad, Babu* Dr. D Kishore , Kumar Mr. CH. Vijaya ,   Assistant Professor, Institute of Aeronautical Engineering, Dundigal, Hyderabad, Deepthi Mrs. Ashoka ,   Assistant Professor, Institute of Aeronautical Engineering, Dundigal, Hyderabad, Durga Ms. B Vijaya ,   Assistant Professor, Institute of Aeronautical Engineering, Dundigal, Hyderabad
Published: December 2019

The requirement of acting class in streaming environments, investigators have exuberance a range of circulation classification procedures by way of managing idea flow. However, routine idea waft is a tough disaster in data flow as the span of the statistics isn't always fixed more than the point in time frame. As a result of taking into consideration the habitual concept flow, this manuscript propose a novel classifier representation, referred to as Real Gaussian naïve Bayes classifier for the information circulate categorization. To carry out the confront of habitual concept float, the first part is to construct the use of the difficult set idea intended for detect the idea waft. After that, Gaussian naïve classifier is tailored accurately to replace active information devoid of the usage of the museum facts. Also, the class is featured using the posterior possibility and the goal characteristic which focus the couple of criterion. The predicted RGNBC version is experiment through two big datasets and the effects are proven from corner to corner the existent MReC-DFS set of rules via sen, spe and corr. from the results, we ought to find out that the projected version attain the utmost accurateness of 63.97 % while evaluated with the aid of the available set of rules.
Auditing on Energy Consumption and Thermal Load Calculation of a Building and Optimized Duct Design to Attain Uniform Cooling
Authors:   Department Of Mechanical Engineering, Griet, Hyderabad, Telangana, India, Raheem* Mohd Abdul , Gopinath L. ,   Asst. Prof, Department Of Mechanical Engineering, Griet, Hyderabad, Telangana, India
Published: December 2019

Heating ventilation and air conditioning (hvac) main goal is to provide thermal comfort and acceptable air quality inside rooms. In large buildings huge amount of energy is wasted due to its weak thermal performance and moderate hvac system. Heat load calculation is a basic step to be considered during designing a hvac system for a building. During heat load calculation weather conditions and occupants of a room are to be considered. Auditing is done on power consumption of a building when two different hvac system are used for distribution of conditioned air and also design a duct. In these paper fan coil unit and air handling unit are compared with each other and investigated how much power is consumed while using each system separately. When fan coil unit is connected with a duct the power consumed by a building is 32.75 kw/hr and when air handling unit is connected with a duct the power consumed is 41 kw/hr. Thus fan coil unit is preferred over air handling unit because it consumes less power and according to that duct is designed using designing tool to attain uniform cooling.
Implementation of Cloud Security by Identity Based Encryption
Authors:   Associate Professor, Department of Biomedical Engineering, Vel tech Multi tech Dr. Rangarajan Dr. Sakunthala Engineering College, Avadi, Chennai. Tamilnadu., Nagarajan* M. , Balaji A. ,   Assistant Professor, Department of Electronics and Communication Engineering , Rajalakshmi Institute of Technology, Chennai.Tamilnadu., Velmurugan S. ,   Professor & Head, Department of Electronics and Communication Engineering, TJS Engineering College, Peruvoyal, Tamilnadu., Sathishkumar G. ,   Assistant Professor, Department of Electronics and Communication Engineering, P.T.Lee Chengalvaraya Naicker College of Engineering & Technology, Oovery, Kanchipuram, Tamilnadu.
Published: December 2019

This paper presents the concept of encrypting the Data from the client to the client. But using some Key generator which sets the password for sending the information. In this concept, we have two types of passwords those are Private Key and Cloud outsourced key. The password will be sent to the client through email by using unique human identity, example Special Name, user id, IP address, etc. This Paper Deals with the client, private key generator and cloud. First, the user has to register by giving their basic details for having user name and password, have to enter their personal details, including contact number, email id, country, etc. When the user Id has created, they have to log through the client login. If they have an account they can be logged in if they are not having an account, they have to register. If any loss of password can reset the password by providing the email Id. This Paper can provide the Security of the user Data. In this Paper we are using cloud storage system.
Performance Improvement of DTN Routing Protocols with Enhanced Buffer Management Policy
Authors:   Assistant Professor(Sr.Grade), Department of CSE,Kongu Engineering College, Perundurai, Tamilnadu, India., Sreekanth G.R. , Suganthe R.C. ,   Professor, Department of CSE, Kongu Engineering College, Perundurai, Tamilnadu, India., Latha R.S. ,   Assistant Professor(Sr.Grade), Department of CSE, Kongu Engineering College, Perundurai, Tamilnadu, India.
Published: December 2019

Delay tolerant network (DTN) is one of the emerging technologies which is applied generally when there is no end-to-end path exists from source to destination all the time. The two major issues in DTN are routing and buffer management. Existing buffer management policies are based on one or more parameters such as message Time-to-Live, message age, message replication count, message size etc.,. There is no efficient approach is available for estimation of message replication count. In this work an efficient approach is proposed to estimate total number of copies of the message. The proposed buffer management approach prioritizes the messages and based on which the messages are forwarded/dropped from the buffer when there is a contact opportunity occurs/when the buffer is full. These priorities are based on message Time-to-Live, message age, message replication count and message size. This proposed buffer management policy is evaluated with two popular DTN routing protocols Spray-and-Wait and Prophet. The simulation results show that delivery probability of messages has increased with reduced buffer time average and minimized latency.
Collision of Work Life Balance on Millennials Life Satisfaction, Organizational Citizenship Behaviour and Work Family Conflict
Authors:   Assistant Professor, MBA Department, Bapuji Institute of Engineering and Technology (BIET), Davangere, Karnataka, Mohan* Y. C. , Pradeep P. ,   Assistant Professor, MBA Department, Bapuji Institute of Engineering and Technology (BIET), Davangere, Karnataka, Susi S. ,   Professor, Department of MBA, Shadan Women’s College of Engineering & Technology, Hyderabad 500004, Telangana, India., Jothikumar R. ,   Professor, Department of CSE, Shadan College of Engineering & Technology, Hyderabad 500008, Telangana, India.
Published: December 2019

The main aim of this article is to identify the millennial work life balance (WLB),and to identify the connection among millennial WLB and work family conflict (WFC), Organizational citizenship behaviour (OCB) and life satisfaction (LS). The study also focuses on identifying the significant differences of millennials work life balance on OCB. Sample size of the study consists of 284 millennials working in Hyderabad. For data collection structured questionnaire was used. In this study SPSS 19 software were used for data analysis and statistical tools such as correlation and one - way anova are used for analysing the data. The study results states that relationship among millennial WLB and work family conflict, OCB and life satisfaction. The study also finds the significant variance among millennial WLB and its dimensions and Organization citizenship behaviour.
Effect of Dynamic Spectrum Aggregation and Allocation Algorithms in Cognitive Radio Networks
Authors:   Research Scholar, Sathyabama University, Assistant Professor, Department of Information Technology, Jeppiaar SRR Engineering College, Chennai, India., Suganthi* N. , Meenakshi Dr. S. ,   Professor and Head of the Department, Department of Information Technology Jeppiaar SRR Engineering College, Chennai, India.
Published: December 2019

With rapid proliferation of radio technology, discontinuous spectrum aggregation and access in a single radio has become conceivable. When the bandwidth of the spectrum fragment is narrow, then spectrum aggregation can be utilized to bundle multiple small fragments in one radio. This can positively improve the efficiency of the spectrum utilization. Though, aggregation of fragmented segments leads to improved spectrum utilization it results in further spectrum fragmentation leading to practical hardware constraints. As a solution, we use the popular memory allocation techniques to perform spectrum aggregation so that further fragmentation can be reduced. We derive at an efficient Spectrum Aggregation Algorithm based on Memory Allocation techniques.
Managing Pollution Impacted Potable Ground Water in Rural Area of Eastern Pune Metropolitan Region: Disinfection by Common Plants
Authors:   BharatiVidyapeeth (Deemed to be University) Pune, India, Deo* Sunil S. , Gidde Milind R ,   Civil Engineering BharatiVidyapeeth(Deemed to University) College of Engineering, Pune, India
Published: December 2019

Potable ground water quality is at risk due to contamination by pollution, sewage, industrial effluents along the nearby areas of Mula-Mutha river banks in eastern metropolitan region of Puneand needed treatment especially disinfection for making it domestically usable. The phytoremediation is one of the important useful method when considered for treatment of water in rural area. The study involved monitoring the quality of ground water in the selected areas along the banks of the river using physicochemical and biologicql parametersin continuation with our earlier studies. For the disinfection treatmentthe commonly found plantsin the area viz. Neem, Tulsi, and Amlawere selected and for the water samples, onsite river water samples and bore well water samples were used. The plants leaves were extracted by water and alcohol and the extracts in dose response manner were used to treat the water. The treated water was monitored for presence of Total coliform and E.coli, the indicators of contamination, using petri film method. The resultsshowedrandom presence of total coliform and E.coli in bore well water samples indicating contaminationand the need fordisinfection.The disinfection study showed that alcoholic leaves extracts were more potent in disinfecting the water samples than aqueous extracts. The complete disinfection by alcoholic extracts was shown at concentration of 21.12mg, 42.8mg and 24.07mgfor Tulsi, Neem and Amla respectively.
Cost Accounting and Analysis for the Creation of an Enterprise Website
Authors:   Department of Accounting, Uzhgorod Trade and Economic Institute of Kyiv National University of Trade and Economics, Uzhhorod, Ukraine, Lalakulych* Mariya , Yuhas Erika ,   Department of Accounting, Uzhgorod Trade and Economic Institute of Kyiv National University of Trade and Economics, Uzhhorod, Ukraine, Rybakova Lesya ,   Uzhgorod Trade and Economic Institute of Kyiv National University of Trade and Economics, Uzhhorod, Ukraine, Lysiuk Alona ,   Department of Accounting and Taxation, Kyiv Cooperative Institute of Business and Law, Kyiv, Ukraine, Kostyrko Alla ,   Department of Accounting and Taxation, Mykolayiv National Agrarian University, Mykolayiv, Ukraine
Published: December 2019

The article discusses the theoretical and methodological bases of accounting and analysis of costs for creating an enterprise website and provides recommendations for accounting and analysis of costs for creating an enterprise website. The study of the essence of the website as a separate accounting object from a technical, legal and accounting point of view has determined that the costs of creating a company website are capitalized in the form of an intangible asset and are subject to depreciation only if they are used for their own needs and when there is a likelihood that it will create future economic benefits. That is, the cost of implementing an enterprise website is displayed according to how it is used. The article contains the rationale for the development, as well as the recommendations themselves: a) the cost of creating an enterprise site with the involvement of a contractor and the cost of developing a website independently using its own resources for information placement is offered; b) the Agreement on the transfer of exclusive property rights to the content of the site was developed; c) a comprehensive cost analysis algorithm is proposed for the enterprise web site, which will provide a well-reasoned and reasonable cost estimate.
Lift Enhancement of NACA 4415 Airfoil using Biomimetic Shark Skin Vortex Generator
Authors:   Universiti Kuala Lumpur Malaysian Institute of Aviation Technology, Selangor, Malaysia., Zulkefli* N F , Ahamat M A ,   Universiti Kuala Lumpur Malaysia France Institute, Selangor, Malaysia., Safri N F Mohd ,   Universiti Kuala Lumpur Malaysian Institute of Aviation Technology, Selangor, Malaysia., Nur N Mohd ,   Universiti Kuala Lumpur Malaysian Institute of Aviation Technology, Selangor, Malaysia., Rafie A S Mohd ,   Universiti Putra Malaysia, Selangor, Malaysia.
Published: December 2019

An experimental study was conducted to investigate the aerodynamic performance of the NACA 4415 airfoil with and without passive vortex generators. The measurement has been carried out for three considered cases: smooth airfoil for baseline case, airfoil with triangular vortex generator and also airfoil with shark skin shape vortex generator. Both the triangular and shark skin vortex generators were located at 50% of chord from leading edge of the airfoil with a 20° counter-rotating incident angle. The experiments were conducted with Reynold’s number of 100,000. Overall, the results indicate that the lift and drag coefficients, and lift-to-drag ratio, for the airfoil with sharkskin vortex generator are comparatively higher than the other airfoils at some angles of attack. The findings can be applied in optimizing shark skin shape vortex generator for the airfoil performance enhancement.
Rank Prediction for Articles and Conference Papers using Machine Learning Techniques.
Authors:   Department of CSE, Koneru Lakshmaiah Education Foundation, Andhra Pradesh, India., Subhashini* P. , Vijaya K. Satya ,   Department of CSE, Koneru Lakshmaiah Education Foundation, Andhra Pradesh, India., Bhargav G.S.K ,   Department of CSE, Koneru Lakshmaiah Education Foundation, Andhra Pradesh, India., Kumar V. Vijay ,   Department of CSE, professor at Koneru Lakshmaiah Education Foundation, Andhra Pradesh, India.
Published: December 2019

Searching for an optimal article which was given highest and best priority is quite harder based on requirements. Ranking is one of the best measure or a method to get the best rated and optimal article or a conference or a research paper through this huge Internet World. As Technology been increasing day by day Artificial Intelligence is the first step to get through any problem for a solution Machine learning is also an important aspect of Artificial Intelligence. Machine Learning is best known for classifying, categorizing and predicting. Rank prediction can be done through many different algorithm implementations in machine learning. But choosing the best is important for accurate results. This paper gives the most accurate results of algorithms that can be used for rank predictions for articles. To simplify and resolve this problem, solutions were given in many different ways but to achieve accuracy is necessary, in previous models this is given using supervised learning only. We proposed this research work with perfect results using both supervised and unsupervised learning. Neural Networks is the best algorithm in supervised learning for classifying and predicting within data. In unsupervised learning we used K-means clustering because of grouping the data. This work helps the user(s) for optimal search of an article and also gives a competitive spirit for author to get into the top, totally this is implemented using Machine Learning Techniques of Neural Networks, K-Means Algorithm which is a mixture of supervised and unsupervised learning for predicting ranks.
To the Way of Informed Society
Authors:   History department, National University of Uzbekistan named after Mirzo Ulugbek. Tashkent, Uzbekistan., Alisher* Muminov , Otabek Muminov ,   History department, National University of Uzbekistan named after Mirzo Ulugbek. Tashkent, Uzbekistan., Khikmat Palvanov ,   History department, National University of Uzbekistan named after Mirzo Ulugbek. Tashkent, Uzbekistan., Salamat Ktaybekov ,   History department, National University of Uzbekistan named after Mirzo Ulugbek. Tashkent, Uzbekistan.
Published: December 2019

The article states that the vital need for information, the formation of the factors that contribute to its satisfaction, play a leading role at every stage of human development. Currently, interest of the international community in the development strategy of Uzbekistan and reform strategy is growing. A few years ago, those who did not properly understand the essence and significance of this development path are now studying it with great care and analyzing the wide-ranging reforms undertaken in the country over the last two or three years. From this point of view it is worth noting the importance of the article. Over the past years in the country, a lot of measures have been taken to liberalize the information sector and to ensure freedom of speech. The legal basis for the activities of mass media has been consistently and systematically improved. At the same time, the experience of foreign legislation and prospects of development of information and communication technologies were considered. As a result of strong legal framework that meets democratic requirements and socio-economic reforms in the country, the media has grown. As a result of the introduction of modern technologies in the field, new media systems such as digital, mobile and Internet TV have been introduced into the system, Internet journalism has been formed. In our country, the number and scope of non-governmental media has increased, and institutions have been set up to support them. In order to introduce modern technologies in the information sector, the work is underway to establish a 5G system. The article also addresses existing shortcomings in the field, to solve them, adopting the concept of a unified state policy in the field of information, involving citizens and the general public in government and public administration, ensuring frankness and transparency of government agencies, increasing their accountability to the public and thereby the need for further improvement of the mechanism of effective communication with the state authorities.
Real Time Face Detection using DNN with Raspberry Pi 4
Authors:   Assistant Professor in Department of Electronics and Communication Engineering at KLEF (Deemed to be University), Guntur., Kumer S V* Dr. Aswin , Raja Dr. C. ,   Assistant and Associate Professor in Engineering colleges in India. His present affiliation is with KL University, Vijayawada, Karthik Mandadi. ,   Under graduate Student, Department of Electronics and Communication Engineering, Koneru Lakshmaiah Education Foundation(Deemed to Be University), Vaddeswaram, A.P., Reddy Gade.Vijaya Venkateswara ,   Under graduate Student, Department of Electronics and Communication Engineering, Koneru Lakshmaiah Education Foundation(Deemed to Be University), Vaddeswaram, A.P.,, Sugandhi Polinati.Sri Sai ,   Under graduate Student, Department of Electronics and Communication Engineering, Koneru Lakshmaiah Education Foundation(Deemed to Be University), Vaddeswaram, A.P.,
Published: December 2019

The concept of face recognition is in the emerging trends nowadays ,because of its wide application range .Usually ,the face recognition is used in the surveillance ,security and Here, Face recognition is used to allocate attendance for a candidate.Deep neural networks is a group of artificial intelligence entirely based on neural networks, because the algorithm will imitate the human brain, so deep learning can be a kind of imitation of the human brain.Local Binary Pattern (LBP) is a basic but also very advanced creaminess operator that names image pixels through thresholding every pixel's district and considers the outcome as just a binary number.If the recognised face is not authenticated or if unauthorised person is identified by the system ,it immediately alerts the server and the classroom door remains closed. In this project we have created our own database with faculty and students of our section using Logitech C270 HD camera with resolution of 720p/30fps.
Backpropagation Neural Networks Implementation for JKSE Forecasting
Authors:   Informatics Department, Universitas Multimedia Nusantara, Tangerang, Indonesia., Hansun* Seng
Published: December 2019

Neural networks is a type of soft computing methods that widely has been used and implemented in many fields, including time series analysis. One of the goals of time series analysis is to predict future data value.In this study, we try to implement another approach using the backpropagation neural networks method to forecast the Jakarta Stock Exchange (JKSE) composite index data, which is one of the stock market change indicators in Indonesia.The study then is continued by calculating the accuracy and robustness levels of Backpropagation NN in forecasting JKSE data. The experimental result on the case taken shows an encouraging and promising result.
Occlusion Detection with Background Elimination and Moving Object Tracking
Authors:   Assistant Professor(SG), Department of Computer Science and Engineering, Saveetha School of Engineering, Chennai, India., Padmapriya* Dr.K. , P.V Mr.Gopirajan. ,   Assistant Professor(SG), Department of Computer Science and Engineering, Saveetha Engineering College, Chennai, India., Kumar* Dr.K.Suresh ,   Associate Professor, Department of Information Technology, Saveetha Engineering College, Chennai, India.
Published: December 2019

An occlusion is said to be a situation when few parts of an object cannot be viewed by human vision. Detecting an object is quite difficult to identify and not so easy to track the moving objects during occlusion. It can be achieved in two steps. The first step is to identify the foreground or background image frame by frame, by naming each and every pixel in the frame. The next step is to compare the observations at each point in the sequence of the moving object with occlusion. It can be done by subtracting the background which yields pixel as combination of Gaussians. Then the distribution of Gaussian have to be calculated to conclude the result from the background process. This method is very much useful to identify the motions in surveillance camera, repeated suspicious movement and elongated changes in the scene.
Human Resources Accounting and Organizational Performance in It Sector: An Analysis of Infosys Ltd
Authors:   Ph.D. Research Scholar, Department of Commerce, Delhi School of Economics, University of Delhi (Assistant Professor Vivekananda College University of Delhi, Meena* Mukesh Kumar
Published: December 2019

As we know in the 21st century all the organizations are facing competition. The service sector is the major contributor throughout the world economy. In the service sector employees play an important role. Because of the quality of service depends on the employees who are serving that service. In that support objective of our study is to trend in earnings of the organization and expenditure incurred on employees by the organization. INFOSYS is the leading public sector bank, so we have collected data from annual reports of the INFOSYS bank from the period of 2010 to 2018. After analyzing the data we found the correlation between total income of INFOSYS and expenditure incurred by INFOSYS on their employees. On the basis of this study, we conclude that employees play an important role in the organization. And organizations are just increasing expenditure on employees in the same trend of the organization's income. The organization should put employees on the balance sheet as assets. Organizations are still showing employees as expenditure. In coming future, if the organization will recognize employees' contributions that will lead to more satisfaction in the employees and this boost in satisfaction will improve the performance of employees due to that the overall performance of the organization will improve.
Development of Ham Technology using Starter Cultures
Authors:   Kuban State Agrarian University named after I.T. Trubilin, Faculty of Processing Technologies, Krasnodar, Russia., Nesterenko* Anton , Koshchaev Andrey ,   Kuban State Agrarian University named after I.T. Trubilin, Faculty of Processing Technologies, Krasnodar, Russia., Kenijz Nadezhda ,   Kuban State Agrarian University named after I.T. Trubilin, Faculty of Processing Technologies, Krasnodar, Russia., Omarov Ruslan ,   Stavropol State Agrarian University, Stavropol, Russia, Shlykov Sergei ,   Stavropol State Agrarian University, Stavropol, Russia.
Published: December 2019

The decrease in the number of raw meat and the deterioration of its quality, requires manufacturers of meat products to introduce advanced technologies. The development of biotechnology has given an impetus to the development and implementation of new technologies aimed at intensifying the complex of complex biochemical transformations that occur in meat raw materials in the production of sausages. The paper presents the results of a study of the effect of starter crops on raw meat in relation to the production of ham. The results of the main functional and technological properties of raw meat subjected to biomodification are presented.
An Innovative Methodology for Organizational Development
Authors:   Asst. Professor (Contract), Department of Humanities and Management Science, Madan Mohan Malaviya University of Technology, Gorakhpur, Uttar Pradesh, Singh* Rajesh , Singh Ms. Garima ,   Department of Humanities and Management Sciences, Madan Mohan Malaviya University of Technology, Gorakhpur, Uttar Pradesh
Published: December 2019

Organizational development can be defined as how to use the resources and the funds available in a company to improve the efficiency and the productivity. Any organization that has a proper development plan in action will also boost up the morale of the employees as through that the employees will know that they are being values and the company is structured very well. Developing any organization is also important because it will in the long run tell the owner where his money is going and whether the money, he is spending will earn him profits or not
Projection Mapping: Interactive Operation using Kinect
Authors:   Department of Computer Science and System Engineering, University of Miyazaki, 889-2192, Japan., Sakamoto* Makoto , Shinoda Takahiro ,   Department of Computer Science and System Engineering, University of Miyazaki, 889-2192, Japan., Ishizu Takahiro ,   Department of Computer Science and System Engineering, University of Miyazaki, 889-2192, Japan., Hori Masahiro ,   Department of Computer Science and System Engineering, University of Miyazaki, 889-2192, Japan., Watanabe Hazuki ,   Department of Computer Science and System Engineering, University of Miyazaki, 889-2192, Japan., Takai Amane ,   Department of Computer Science and System Engineering, University of Miyazaki, 889-2192, Japan., Ito Takao ,   Institute of Engineering, Hiroshima University, 739-8511, Japan.
Published: December 2019

Recently “entertainment computing” (EC) technology becomes a hit term in Japan. There is a well-known “projection mapping” in this EC. Projection mapping is a video technique that synchronizes real space and virtual space, and the fascinating world view that the fusion of both produces attracts worldwide attention. On the other hand, recently, works combining dancer performance with projection mapping to create a fantastic world are drawing attention. However, in order to make the content persuasive, it is necessary for the performer to perform precise work, such as accurate alignment of the image coordinates of the moving object in the projection video, and it is not easy for everyone to do so. In this study, we aim to entertain not only the people who see the projection mapping but also the performer through the interaction with the projection mapping. So, we prototyped an interactive projection mapping that changes according to user’s movement by projecting to the user. This time we focused on sports like baseball and soccer, and we projected the ball to the user by projection mapping so that we can experience pitching and lifting. Furthermore, we conducted a questionnaire survey to evaluate the sense of use of this system, and the results showed that many people can enjoy by this projection mapping.
Term Document Frequency (TDF) Method for Extracting User Posts and Emerging Events in Social Networks
Authors:   Associate Professor, SITE School, Vellore Institute of Technology, Vellore, Tamilnadu, INDIA 4Associate professor , SITE School, Vellore Institute of Technology, Vellore, Tamilnadu, INDIA, Manivannan* S.S. , Iyapparaja M. ,   Associate Professor, SITE School, Vellore Institute of Technology, Vellore, Tamilnadu, INDIA 4Associate professor , SITE School, Vellore Institute of Technology, Vellore, Tamilnadu, INDIA, Prasanna M. ,   Associate Professor, SITE School, Vellore Institute of Technology, Vellore, Tamilnadu, INDIA 4Associate professor , SITE School, Vellore Institute of Technology, Vellore, Tamilnadu, INDIA, Velmurugan T. ,   Associate Professor, SITE School, Vellore Institute of Technology, Vellore, Tamilnadu, INDIA 4Associate professor , SITE School, Vellore Institute of Technology, Vellore, Tamilnadu, INDIA, Prabhu J. ,   Associate Professor, SITE School, Vellore Institute of Technology, Vellore, Tamilnadu, INDIA 4Associate professor , SITE School, Vellore Institute of Technology, Vellore, Tamilnadu, INDIA
Published: December 2019

Social network is a place where people exchange and share data related to the current trends and events all over the world. This specific behavior of users made us concentrate on the logic that processing these data may lead us to the extracting the current topic of curiosity between the users. Applying data clustering technique like Term-document-Frequency (TDF) based approach over these data may leads us up to the mark but there will be little chance of negatives. We are going to do a likely medium that can give both usual mentioning behaviour of a consumer and also the frequency of users occurring in their mentions. It also works well even the data of the messages are very small information. These extracted emerging topic are shown to the user those who subscribe for the details.
Detection of Foreign Materials in Wheat Kernels using Regional Texture Descriptors
Authors:   Department Of Electronics And Communication Engineering, Sliet Longowal, 148106, India, Julka* Neeraj , Singh A.P ,   Department Of Electronics And Communication Engineering, Sliet Longowal, 148106, India
Published: December 2019

The present paper reports the development of an efficient machine vision system for automatic detection of foreign materials in wheat kernels using regional texture descriptors. In this system, the detection task is performed in two phases. These phases include features extraction phase followed by classification phase. New surface texture descriptors of wheat kernels are developed using Non-Shannon entropies in this work. These entropies are defined using intensity histograms of wheat and non-wheat regions in the given image. Such an attempt has not been made earlier. Experimental results on a database of about 2635 wheat and non-wheat components from 63 images confirm the effectiveness of the proposed method. The classification task is performed by the neural classifier in the proposed machine vision system. An accuracy of more than 98.5% is achieved using proposed system. However, the results of present investigations are quite promising.
Adaptive Position Sensorless Control of PM Synchronous Motors-A State of Art
Authors:   Control Equipment Engineering Division, BHEL, Bhopal, India., Kumar* Manoj , Ojha Amit ,   Electrical Engineering Department, MANIT, Bhopal, India.
Published: December 2019

Permanent magnet synchronous motors (PMSM) are gaining popularity day by day and will rule in the next decade as these motors have several benefits over induction motor such more efficiency, low noise operation, reduced size, and maintenance free operation. These motors require a position sensor for its control, which makes it costlier, increase the size and low reliability. The development of fast microcontroller, IGBT devices, and high density permanent materials has opened the gate of industrial and commercial market for PM Synchronous Machine. The researchers from various corners of the world are working hard from more than two decades to evolve the sensorless control scheme for rotor flux estimation. A sensorless control schemes proposed till date works satisfactory, but, high performance is still a challenge. The paper presents a review of most popular robust SMO technique for position sensorless control of PM-Synchronous Motor with its benefits & drawbacks.
Market Reaction to Buyback Announcement: Evidences from Select Indian Manufacturing Companies
Authors:   Professor, Department of Management Studies, PES University, Bangalore, Sivashanmugam* Dr C. , S Sowmya. ,   Assistant Professor, Department of Commerce, Sadhana College, Bangalore. Research Scholar-Bharathiar University Coimbatore.
Published: December 2019

Buyback of shares is the company’s strategic move to decrease the outstanding shares in the market by buying its own shares from their own shareholders. This study is an effort to analyse the effect of share buyback announcement by manufacturing companies in India, considering 182 events from both the tender offer and open market method from financial year 2000-01 to 2018-19. The event study methodology from the market model has been considered to attain the Abnormal returns (AR). Stock return and market return both are calculated from the daily market data of BSE. BSE S&P SENSEX is considered as benchmark index for the calculation of market return. The market reaction to buyback offers are positive in India according to most of the previous studies, the same is observed even in this study on select manufacturing companies.
Design and Performance Analysis of Grid Connected Solar Power System by Fuzzy Control Algorithm
Authors:   Phd Scholar Department Of Eee, Biher., Bhukya Shivaji , Prakash Dr. S. ,   Professor, Department Of Eee, Biher Chennai
Published: December 2019

In this paper we propose the fuzzy logic controller based solar fed grid via various loads. Normally present situation solar power play a vital role to meet the load demand. Solar power is the free from pollution and cost free fuel so in this paper I propose the solar based grid integrated framework, it consist of dc-dc boost converter, 3-phase voltage source inverter and fed to grid via various loads. MPPT based fuzzy logic controller is used to obtain the maximum power from the solar. But our proposed solar generation is intermittent in nature so before supplying this power to the load as well as grid we can control and enhance the power quality by utilizing FLC. This FLC control scheme effectively controls the harmonics developed in the grids. Current harmonics and Voltage flickers developed in the PV integrated grid due to non linear loads and critical loads present in the network. The proposed system is verified in MATLAB/SIMLINK
OS Level Power Optimization in LCMP
Authors:   Faculty in Department of Information Technology, Mizoram University, Aizawl, Mizoram, India., Khenglawt* Vanlalmuansangi , Zonunmawii  ,   Faculty in Department of Electronics and Communication Engineering, Mizoram University, Aizawl, Mizoram, India., Vanlalhruaia  ,   Faculty in Department of Computer Engineering, Mizoram University, Aizawl, Mizoram, India.
Published: December 2019

With the increasing levels of transistor count and clock rate of microprocessors there is a significant increase in power dissipation. Reducing power consumption in both high power consumption and high performance has developed into one of the main target in designing a system for various devices. As the chip multiprocessor (CMP) are integrating more cores on the die, it will leads to the extent of Large scale CMP (LCMP) architectures with potentially hundreds of thread on the die and thousands of cores. Therefore, we proposed an approach of OS level power optimization in LCMP to optimize the heat dissipation rate and increase computing power under some considerations. To satisfy the main goal of our work, the heat dissipation should be optimizing with increase in computing power. The approach of optimizing the heat dissipation is done at the synthesis level. There are three approaches for modifying the synthetic benchmark: Singly Synthesis, Hierarchical Synthesis and Group Synthesis. The result is that the power dissipation of Group synthesis is equally distributed without giving more loads to only one processor as compared to Hierarchical Synthesis and Singly Synthesis. Therefore, from our result we can conclude that in Group Synthesis power is equally distributed hence heat dissipation is optimized. The future work will be to further optimize the result of the Synthesis level using thread migration. Thread Migration can increase the system throughput; it relies on multiple cores that vary in performance capabilities.
Model-Based Teaching and Learning: An Experiential Research of Teaching Engineering Drawing for First Year Engineering Students
Authors:   Department of English, PSG Institute of Technology and Applied Research, Coimbatore, India., Selvi* Mrs.R.Tamil , Chandramohan Dr.G. ,   Department of Mechanical Engineering, PSG Institute of Technology and Applied Research,Coimbatore, India., Ganesh Mr.V.Navin ,   Department of Civil Engineering, PSG Institute of Technology and Applied Research, Coimbatore, India., Elangovan Dr.D. ,   Department of Mechanical Engineering, PSG Institute of Technology and Applied Research,Coimbatore, India.
Published: December 2019

Technology plays a major role in the easement of teaching and learning in engineering education. Novel techniques adopted in the recent days, have resulted in a huge success on the part of educators. These techniques create a great difference in the instructional delivery, with real-time impact on the understanding and learning of students. In this context, Model Based Teaching and Learning (MBTL) is identified as one such resourceful method to teach certain educational concepts which require imagination. Use of models within the pedagogy of engineering education promotes meta cognitive thinking skills of students. The purpose of this research was to examine the advantages of adopting model – based teaching and learning for the course, Engineering Drawing for first year engineering students. A class of 120 Engineering students during the second semester participated in the research. The students were randomly grouped into two groups of each 60 in order to receive different treatments. The first group was identified as the Control group (CG) which was taught concepts of Engineering Drawing using traditional lecture method, while the second group, the Experimental Group (EG) was facilitated with models related to projection of lines and orthographic projections. The results revealed that using models had a significant impact on the academic achievement of the students. Based on their performance in the continuous assessment, it was concluded that models were very helpful in improving the marks, and also played an effective role in the comprehension of concepts.
Emission of Green House Gases from Municipal Solid Waste by IPCC Model in Chidambaram
Authors:   School of civil engineering, SASTRA deemed university, Thanjavur. Tamil nadu, india., Sasireka* K. , Deepa* D. ,   School of civil engineering, SASTRA deemed university, Thanjavur. Tamil nadu, india, Dhivya K.S. ,   Department of civil, PERI Institute of Technology mannivakkam,chennai.Tamilnadu, India
Published: December 2019

Municipal solid waste (MSW) has become a severe environmental threat with more urbanization and a enormous shift in people's lifestyles in our nation over the past two to three centuries.the waste generation of a person towards MSW is increasing unprecedented from 0.6-0.8 kg in the 1990s to more than 1.5 kg and more articles over "use - and-throw" are playing a significant role in our daily operations. Solid waste management eliminates adverse impacts in surrounding and enhances the economic growth and superior value of life. The main emissions from the handling and management procedures of MSW are CO2 and NH3. Consequently, adequate management of MSW becomes essential to offset the GHG (Green House Gasses). Hence Proper management of MSW becomes essential to offset GHG (Green House Gasses), which would otherwise contribute strongly to the domestic anthropogenic GHG budget. This paper is intended to assess techniques for managing MSW in the context of GHG decrease as a Climate Change mitigation project in Chidambaram. IPCC Model projected methane to be 908,1023Mg / year in Chidambaram for a 25-year credit period.