bluuebunny/crossref_metadata_2025 huggingface dataset:
The Spratly and Paracel Islands conflict (a version of Marko Milivojevic (1989), Survival, 31:1, 70-78, ISSN: 0039-6338)
Authors: Ngo-Hoang Dai-Long
Published: September 2019

On at least two separate occasions in late 1986 naval vessels of China's People's Liberation Army (PLA) South Sea Fleet moved south from Yulin Naval Base on Hainan Island towards the Spratly Islands in the South China Sea, where they patrolled and staged a number of military exercises. In December 1987, following these exploratory naval patrols and exercises, PLA naval vessels set up 167 observation stations in vari ous parts of the Spratly Islands (which are made up of approximately 100 islands, coral reefs, shoals, atolls and sandpits covering an area of 6,000 square miles; the Chinese name is the Nanshan Islands). China's move into the Spratlys and its obvious intention to make its presence there permanent alarmed Vietnam, which also lays claim to them. (Known as the Truong Sa Archipelago to Vietnam, the Spratlys are located about 230 miles off Vietnam's coastline.)
ВИТОКИ ДЕКАДАНСУ В ЄВРОПЕЙСЬКОМУ ОБРАЗОТВОРЧОМУ МИСТЕЦТВІ ДРУГОЇ ПОЛОВИНИ ХІХ - ПОЧАТКУ ХХ СТОЛІТЬ
Authors: Сосік Ольга
Published: September 2019

Стаття присвячена питанню становлення декадансу у європейському культурному просторі таобразотворчого мистецтва другої пол. XIX ст. Розглянуто соціокультурні та історичні процеси, що спричинили зміни в суспільних настроях та сприяли розвитку мистецтва. Виокремлено ключові стилістичні ознаки, теми та образи, притаманні декадентському живопису. Приділено увагу питанню розмежування декадансу з іншою провідною течією мистецтва межі століть – символізмом. Співставлені їх стилістичні та світоглядні особливості, що дозволило розглянути декаданс й символізм як окремі художні течії в образотворчому мистецтві.
Penandaan Batas Area Perhutanan Sosial Dengan Pendekatan Partisipatif Pada Desa Ilanbatu Uru Kabupaten Luwu
Authors: Fisu Amiruddin Akbar , Didiharyono Didiharyono
Published: September 2019

Para masyarakat yang tergabung dalam kelompok tani di Desa Ilanbatu Uru memiliki masalah terhadap lahan yang mereka kelola pada saat ini. Tidak adanya batas spasial yang jelas antara Kawasan hutan dan wilayah perhutanan social yang dapat mereka kelola membuat petani mengekspansi hutan karena ketidaktahuan mereka. Maksud kegiatan Penadaan Batas Areal Kerja HPHD Ilanbatu Uru adalah membantu masyarakat untuk memberikan batas-batas fisik berupa plat batas pada areal kerja HPHD sesuai dengan SK Penetapannya sertaÂ  mensosialisasikan/mengumumkan batas-batas dimaksud kepada masyarakat. Sedangkan tujuannya adalah dalam rangka terwujudnya kepastian hukum mengenai status, batas, luas dan letak wilayah areal kelola.
PKM Pemanfaatan Limbah Sagu Pada Media Budidaya Jamur Tiram Kelompok Tani Serumpung Sagu Kec. Pekkajoang Kab. Malangke Barat Kab. Luwu
Authors: Yasin Sitti Maryam , Aziza Rahmi , Mursida Mursida
Published: September 2019

Malangke Barat adalah kecamatan penghasil sagu terbesar di Luwu Utara yang memiliki luas areal sagu sekitar 1.061 hektar dengan produksi 669 ton tepung sagu. Salah satu desa di Kecamata Malangke Barat yang merupakan sentra pengolahan dan penghasil sagu yaitu Desa Pengkajoang yang mayoritas penduduknya bermata pencaharian sebagai petani sagu. Kelompok Tani serumpung sagu merupakan kelompok tani yang dibentuk oleh masyarakat kampung sagu dan dilegalkan oleh pemerintah Luwu Utara. Permasalahan mitra yaitu, kurangnya pengetahuan tentangÂ  inovasi olahan limbah sagu menjadi media budidaya jamur tiram serta belum meiliki peralatan dan bahan budidaya jamur tiram, teknik pengolahan hasil, cara berwirausaha serta sistem-sistem pemasaran.Solusi yang ditawarkan yaitu Penyuluhan dan pelatihan teknologi inovasi olahan limbah menjadi media budidaya jamur tiram serta pengadaan alat dan bahan untuk budidaya jamur tiram, teknik pengolahan hasil jamur tiram, pelatihan pengelolaan manajemen usaha, pelatihan sistem pemasaran bagi wirausaha baru, pelatihan penggunaan media online sebagai media pemasaran bagi mitra dan juga alat pengemasan. Metode yang digunakan dalam pelaksanaan program yaitu metode ceramah, demonstrasi dan pendampingan, serta pembantuan dalam pembuatan website. Luaran dari program ini yaitu produk jamur tiram, olahan jamur tiram dengan desain kemasan, website sebagai media pemasaran online.
Desain Perancangan E-Commerce Kain Tenun Lombok Desa Sukarara Lombok Tengah
Authors: Suriyati Suriyati
Published: September 2019

Lombok is songket woven fabric which has embossed on cotton yarn, threads of silver or gold thread. Songket weaving craft that is learned by the women Sasak is a type of traditional weaving craft. Starting from the yarn manufacturing, dyeing, to the manufacture of woven fabrics, all done the old fashioned way. To make a yarn that will be used for weaving using natural materials, such as fiber pineapple, banana fiber, cotton, and bark. As for the dye, using natural dyes from ingredients that are also naturally anyway. To produce songket cloth of a width of 1.2 m and 2 m in length takes 2-4 weeks. Motif used in the manufacture of songket is a legacy handed down that are not allowed to diseberluaskan. It is said that the traditional songket motifs from village Lombok Sukarara reached more than 100 patterns. Nothing is recorded or drawn details, unless stored in the form of a master to learn generations to come. This study uses qualitative research aimed at understanding more deeply to a problem that is studied. This study investigates the problems in marketing and promoting traditional handicrafts woven Sasak by breaking factor in using fishbone diagrams. Woven Songket generated Lombok society is very unique, because here there is a meeting of western and eastern. Technically, the second meeting of the area led to the integration in other areas in Indonesia that did not exist. Along with the development, songket cloth or woven cloth Lombok has developed the idea, both in terms of the motive and the enrichment of the author, to give birth to works of Neat and very attractive to domestic and foreign tourists. Innovation targeted in this study is an application of e-commerce in helping to market, promote and manage sales songket online.
Design of Multi-Input Bidirectional DC to DC Converter for Electric Vehicles with Regeneration Capability
Authors:   Electrical & Electronics Engineering, IFET College of Engineering, Tamilnadu, India, Rampradesh* T. , Rajan C.Christober Asir ,   Professor/ Electrical & Electronics Engineering, Pondicherry Engineering College, India., Hemaavarthini E. ,   Electrical & Electronics Engineering, IFET College of Engineering, Tamilnadu, India
Published: September 2019

A multi-input bidirectional dc to dc converter which can be implemented for electric vehicles is discussed in this paper. The importance of the converter depends on the phenomenon of backing up of regenerated power during braking. Three energy storage systems feed a common DC bus that interfaces the bidirectional DC/DC converter. Lack of energy supply to the electric vehicles due to less charging stations can be overcome by proposed converter. Any one of the energy storage system will be active throughout the operation of the vehicle and that the DC bus is continuously fed by a constant DC power. Pulse width modulation scheme is used to convert the available supply in the battery toe appropriate supply of the DC bus. The converter is tested by connecting a brushless DC motor to the output and the performance is analyzed with three modes of power transfer. The converter is designed in MATLAB/SIMULINK tool and the performance characteristics are discussed.
Automatic Annotation of Events and Highlights Generation of Cricket Match Videos
Authors:   Department of Computer Science and Engineering, Delhi Technological University, Delhi, India., Agarwal* Sanchit , Singh Nikhil Kumar ,   Department of Computer Science and Engineering, Delhi Technological University, Delhi, India., Shambharkar Prashant Giridhar ,   Department of Computer Science and Engineering, Delhi Technological University, Delhi, India.
Published: September 2019

In this paper, we propose a novel method for automatic annotation of events and highlights generation for cricket match videos. The videos are divided into time intervals representing one ball clip using a Convolutional Neural Network (CNN) and Optical Character Recognition (OCR). CNN detects the start frame of a ball. OCR is used to detect the end of the ball and to annotate it by recognizing the change in runs/wickets. The proposed framework is able to annotate events and generate sufficiently good highlights for four full length cricket matches.
Supervised Learning Algorithms of Machine Learning: Prediction of Brand Loyalty
Authors:   Assistant Professor, G. Pullaiah College of Engineering & Technology (Autonomous) Kurnool/ Andhra Pradesh/ India., Kolla* Dr. Nagaraju , Kumar Dr. M. Giridhar ,   Professor and Head of the Department, Department of Management Studies, G. Pullaiah College of Engineering and Technology (Autonomous), Kurnool, A.P. India.
Published: September 2019

The present research explores the loyalty prediction problem of a brand through supervised learning algorithms of classifications: logistic regression, decision tree, support vector machine, bayes algorithm and K-nearest neighbors (KNN) algorithm. 265 customers’ FMCG loyalty sample data were taken and variables of the data set include; loyalty status, gender, family size, age, frequency of purchase, and FMCG purchase. Data have been analyzed with the help of Python packages such as Pandas (Data analysis), Numpy (Numerical calculation), Matplotlib (Visualization), and Sklearn (Modeling). Among the supervised classification algorithms, logistic regression has outperformed than other techniques.
Assistance for Visually Impaired People based on Ultrasonic Navigation
Authors:   Dept. of Physics, Siksha ‘O’ Anusandhan Deemed to be University, Odisha, India, Kamilla* Sushanta Kumar
Published: September 2019

The assistance system for visually impaired people has been implemented by using ultrasonic principle to provide navigation. The presented system functions in 2 modes of operation that are obstacle recognition mode and fixed path mode. Obstacle detection mode uses grouping of ultrasonic transceivers for solid obstacle detection and water sensor to identify liquid obstacles by employing a microcontroller. The information about the obstacle is sent to the blind person via a voice mode by using android phone through Bluetooth device. In second mode which is preferably a fixed path mode the person is guided from start point to the end point for a particular path. The blind person can swap between the different modes by using the button present on the cane. Global positioning system (GPS) is used to instruct the person to move from one place to other. The projected system delivers whole direction and defence to a blind person for many situations.
Gene Ontology Analysis of 3D Microarray Gene Expression Data using Hybrid PSO Optimization
Authors:   P.hD Research Scholar, Department of Computer Science, Periyar University, Salem -636 011, Tamil Nadu, India, Narmadha N. , Rathipriya Dr. R. ,   Assistant Professor , Department of Computer Science, Periyar University, Salem -636 011, Tamil Nadu, India
Published: September 2019

At present, triclustering is the well known data mining technique for analysis of 3D gene expression data (GST). Triclustering is a simultaneously clustering of subset of Gene (G), subset of Sample (S), and over a subset of Time point (T). Triclustering approach identifies a coherent pattern in the 3D gene expression data using Mean Correlation Value (MCV). In this chapter, Hybrid PSO based algorithm is developed for triclustering of 3D gene expression data. This algorithm can effectively find the coherent pattern with high volume of a tricluster. The experimental study is conducted on yeast cycle dataset to study the biological significance of the coherent tricluster using gene ontology tool.
The Impact of Co-curricular Activities Supported by Generic Skills on Students' Performance at University Level
Authors:   Computer Science Department, Community College, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia. Faculty of Computers and Information, Helwan University,Cairo Egypt., El_haggar Nahla , Nesrine  ,   Mezhoudi College of computers and information technology, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia, Alrawjih Fatimah ,   Mathematics Department, Science College, Imam Abdulrahman Bin Faisal UniversityDammam, Saudi Arabia
Published: September 2019

Co-curricular activities refer to the events and learning skills that take place alongside the academic curriculum which offers opportunities for the students to develop specific skills and exhibit their non -academic abilities which are essential for interacting individually or collectively in their work and social life. These activities are considered as gained skills that accomplished out-of-class to complement and extend the formal learning skills of a course or academic program. This work has been conducted along with information technology track, computer science department, Community College, Imam Abdulrahman bin Faisal University, Dammam, Saudi Arabia. In this paper, a new methodology was suggested to improve the students’ performance based on modern generic skills by integrating co-curricular activities with curriculum to enhance the achievement of the necessary work requirements. The results showed that co-curricular activities had great effects on students' performance based on these skills.
Understanding the Users Personal Attributes Similarity Across Online Social Networks
Authors:   Department of Computer Engineering, ZHCET, AMU, Aligarh, India., Ahmad Waseem , Ali Rashid ,   Department of Computer Engineering, ZHCET, AMU, Aligarh, India.
Published: September 2019

In this modern era of technology, everyone accessing the Internet is obsessed with social media. A User accesses different social media services to fulfill his diverse needs. For instance, Instagram is mainly used for sharing personal visual content while Twitter is known for finding latest news and trends, similarly Facebook for personal posts. Such services lead to the distribution of personal information of an Internet user on these platforms. In this paper, we build a framework to discover the relationship among the attributes of a user across the social media.We use different fuzzy string matching algorithms to find the similarities between the attributes. We extract the ‘name’ and ‘username’ from a publicly shared dataset and apply two character based and token based algorithms on these features. The results are indicative of the fact that only a limited number of users share the same name and username across the sites. On further analysis, it is found that although name and username of most of the users do not exactly match, they tend to be similar with the infinitesimal difference like; underscore, period, one digit numbers, etc. This study provides an analysis of the typical variations in names and usernames, which can further be studied for the extension to other social networks This profile will help in behavior analysis of a user, which will further help us to improve recommendations and analyze for criminal behavior and similar applications.
Autoencoder Artificial Neural Network Public Key Cryptography in Unsecure Public channel Communication
Authors:   Research Scholar, Department of Computer Science Faculty of Technology, Gurukul Kangri University, Haridwar, India,, Sagar Vikas , Kumar Krishan ,   Assistant Professor, Department of Computer Science Faculty of Technology, Gurukul Kangri University, Haridwar, India,
Published: September 2019

As we all known that cryptography is a procedure to hide data so that it can’t be access or modified by any unauthorized entity. At the present digital world security is a main concern. To maintain this security there are many cryptographic algorithm exist. But the world technology grew each and every day so we have to find some new algorithms to maintain the security at higher level. In the proposed and implemented work used artificial neural network to increase the security during data communication in digital world. Autoencoder Neural Network is a new approach in the era of digital world so that used here in cryptographic algorithm to increase the strength of the security. There are three basic aims of cryptography availability, privacy and integrity easily achieved by this new approach. This work examine that the attacker can’t get access the data however he/she exist in the same network or not. Neural Network’s uncertainty property make this possible. This approach also examined on different data size and key size. Proposed work used the autoencoder for encryption and decryption. The final experimental result show our purposed algorithm efficient and accurate and also show how this approach perform better. Proposed and implemented algorithm can be easily used for secure data communication with more efficiently.
Efficient Computational linguistics Framework for Concept Drift Detection
Authors:   Ph.D Research Scholar, Department of Computer Science, Hindusthan College of Arts and Science, Coimbatore, India., Maheswari Ms.A.Uma , Revathy Dr.N. ,   Professor, PG and Research Department of Computer Applications, Hindusthan College of Arts and Science, Coimbatore, India
Published: September 2019

Semantic drift is a common problem in iterative information extraction. Unsupervised bagging and incorporated distributional similarity is used to reduce the difficulty of semantic drift in iterative bootstrapping algorithms, particularly when extracting large semantic lexicons. Compared to previous approaches which usually incur substantial loss in recall, DP-based cleaning method can effectively clean a large proportion of semantic drift errors while keeping a high recall.
Prediction of Indoor Air Circulation of Residential Room with Adaptation of Solar Chimney Using Numerical Technique
Authors:   Faculty B.Tech degree in Mechanical Engineering B.V.B College of Engineering and Technology, India, Kongi Punit , Thejaraju  ,   Assistant Professor, in the Department of Mechanical and Automobile Engineering in the area of Heat Transfer, Fluid Dynamics and Energy, Kumar T S Madan ,   Assistant Professor, in the Department of Mechanical and Automobile Engineering, Joseph Prince ,   B.Tech Degree in Mechanical Engineering from CHRIST (Deemed to Be University), Faculty of Engineering in the year 2019
Published: September 2019

With the exponential increase in consumption of electrical power during the summer season by household, there is a great need for households to withhold sustainability. To maintain the temperature of the household a passive heating and cooling system is used i.e. Solar Chimney. Ventilation, through a natural convection process, is gaining a lot of attention to be an alternative technique for mechanical air conditioning ventilation because of its reduced power usage when compared to the external cooling devices used in residential buildings of hot regions. The present study, involve solar chimney of horizontal and vertical designs in comparison with different width and height. The following paper studies the effect of a solar chimney on the indoor thermal behavior using Numerical Technique for a prototype of a residential room. The performance on the ventilation velocity and air temperature operation inside the room with varying air gap width is studied based on multiple numerical analysis solutions. The present study deals with two different architectures of a two dimensional model and results have shown that the ventilation velocity has increased to 0.017626444 kg/s and operative air temperature has been decreased by 7.26ºC for the vertical model while the horizontal model has shown a mass flow rate of 0.018027636 kg/s and a temperature decrease of 9.15ºC. The most efficient chimney was found to be model 7 which is horizontal solar chimney 3 with an air gap width of 0.05625m and a height of 0.3175 m, when compared to the other models from model number one to six.
Fabrication of Silicon Carbide and Graphite Reinforced Aluminium MMC by Stir Casting and Characterization by Wear Test
Authors:   Associate Professor, Mechanical Engineering Department, P V P Siddhartha Institute of Technology, Vijayawada, India., Srividya Dr. K. , Anusha P. ,   Assistant Professor, Mechanical Engineering Department, P V P Siddhartha Institute of Technology, Vijayawada, India., Kavitha E. ,   Assistant Professor, Mechanical Engineering Department, P V P Siddhartha Institute of Technology, Vijayawada, India., Nagaswapnasri M. ,   Assistant Professor, Mechanical Engineering Department, P V P Siddhartha Institute of Technology, Vijayawada, India.
Published: September 2019

Aluminum metal matrix composites with various reinforcements had pronounced prospective of meeting the criteria of recent engineering applications like aerospace, automobile, breakpads, sports, this is due to their enhancement of some mechanical properties by some addition of matrix in to decide material. The present study focuses on the fabrication of 6351 aluminum MMC hybrid composites reinforced with silicon carbide and graphite powder, followed by a wear test for characterization of the material. Although several methods are available for the fabrication of Al-Sic MMC, we have employed stir casting technique due to its simplicity and economical. In this work aluminum metal matrix composites reinforced with different weight fractions of 2%, 4%, 6% and 8% graphite and silicon carbide in equal proportion characteristics were compared with Al6351 alloy. It is found that the wear properties have been improved with increase in weight fraction of the reinforcements of silicon carbide and graphite in aluminum matrix.
Methods and Means of Evaluation and Development for Prospective Students’ Spatial Awareness
Authors:   Kyiv National University of Building and Architecture, Kyiv, Ukraine., Yuliia Riabchun , Tetyana Honcharenko ,   Kyiv National University of Building and Architecture, Kyiv, Ukraine., Victoria Honta ,   Kyiv National University of Building and Architecture, Kyiv, Ukraine., Khrystyna Chupryna ,   Kyiv National University of Building and Architecture, Kyiv, Ukraine., Olena Fedusenko ,   Taras Shevchenko National University of Kyiv, Kyiv, Ukraine
Published: September 2019

The issue of choosing the field of study and specialty becomes especially relevant at the stage of admission to a higher educational institution. This work is dedicated to the means of decision support system for the prospect students who cannot decide on their own what they want to do in the future. At the same time, an innovative approach is considered for evaluation and development of spatial awareness of the students entering the educational establishments specializing in the construction. The focus is on researching methods based on mobile gaming applications and can be used in decision support systems. Modern computer technologies allow not only to evaluate the results of educational games, but also to record the characteristics of the personality that appear during the game and reflect the degree of the ability to study in the appropriate field. The analysis of modern mobile applications, which allows to assess the abilities of prospective students, which are necessary for successful training in the specialty. Because of the analysis, there were selected mobile applications that are expedient to use in intelligent decision support systems and to assess and develop spatial awareness. There was formed a set of criteria for evaluating factors reflecting the level of the prospective student’s spatial awareness. There was proposed an approach to the development of an intellectual system for evaluating the professional abilities of the students entering the educational establishments specializing in building.
An Automated Testing Method for PXI Chassis Software Driver
Authors:   School of Electric and Electronic Engineering, Universiti Sains Malaysia, Nibong Tebal,14300, Pulau Pinang, Malaysia., Ishak Mohamad Khairi , Shyan Ng Wai ,   School of Electric and Electronic Engineering, Universiti Sains Malaysia, Nibong Tebal,14300, Pulau Pinang, Malaysia., Mohamed Mohamed Fauzi Packeer ,   School of Electric and Electronic Engineering, Universiti Sains Malaysia, Nibong Tebal,14300, Pulau Pinang, Malaysia.
Published: September 2019

PCI extensions for instrumentation (PXI) chassis is a multi-vendor interoperable device. It can interconnect with many chassis, module and computers. To make sure a device driver is able to function in a specific configuration, it must go through a series of tests. The complexity of PXI software testing has increased when it needs to cover multiple configurations for a single driver. Majority of the automated test systems will execute tests without having the mechanism to verify the test environment. To improve the PXI chassis driver test duration, the current trend of automated software testing only executes a single test configuration. Thus, an automated test software with the capability to execute multi-test configuration is required. In order to develop this tool, a server-client concept is adopted. The advantage of server-client is to centralize the testing when multiple tests are performed. The software tool client will start once it is booted into the operating system; the test system will connect to server and wait for further action from server. When server detects incoming client connection, it will automatically verify and fix the testing environment; if the client fulfills the test suite requirement it will start to execute the test system. All client test summary results will be updated to the server. The results show an average of 17.1% test duration reduction on the planned test configuration when the automated software tool is applied on testing. Besides, the results indicate higher controller hardware performance can reduce the test duration.
Histopathological Image Classification Scheme for Breast Tissues to Detect Mitosis
Authors:   Research Scholar, Department of Computer Science, Manonmaniam Sundaranar University, Abishekapatti, Tirunelveli, India, Geetha R. , Sivajothi M. ,   Associate Professor, Department of Computer Science, Sri Parasakthi College for Women, Courtalam, India
Published: September 2019

Histopathological images are widely utilized by the pathologists to determine the severity of the cancer. Usually, the pathologists analyse histopathological images manually, which demands more time and effort. The quality of image interpretation can be improvised with the help of a computerized assisting system for image analysis. This idea enhances the accuracy of the system as the computerized system helps in making decisions, which the pathologist may recheck. Understanding the benefits, this article presents a histopathological image classification scheme meant for breast tissues in detecting the mitotic cells. The goal is achieved by preprocessing the image by performing top and bottom hat transformation followed by stain normalization. The nuclei are then located with the help of Localized Active Contour Model (LACM) combined with Lion Optimization (LO) algorithm. The shape, statistical and texture features are extorted from the areas of interest and the differentiation of mitotic cells from the nonmitotic ones is performed by Support Vector Machine (SVM) classifier. The work efficiency is tested with respect to the standard performance measures such as accuracy, sensitivity, specificity and time consumption.
HRIS Driving Health Care Institutes
Authors:   KL Business School, Koneru Lakshmaiah Education Foundation (Deemed to be University)., Kannipamula S Jyothi , Rao Srinivasa ,   D KL Business School, Koneru Lakshmaiah Education Foundation (Deemed to be University).
Published: September 2019

An effort is made in this paper to show case the concept of current status of Human Resource Information System and empirical analysis on learning mode of hospital personnel. The traditional practices of HRM used in the present business arena is time taking and includes lengthy processes. The integration between the departments has become the challenging aspect to be considered. The data generated from the HR department becomes the primary base for other functional departments to work and helps scheduling, compensating and decision making. The term automation brought the era of digitally linking the traditional human resource management to technical human resource management. Based on various standard HRM models a model is developed to show the integrated use of technically developed HRM practices in attaining Global competitiveness. The literature review indicates the necessity of globally competitive HRM practices in every sector including service sectors and various departments of business. Data is drawn from global competitiveness report of the year 2017-2018 and analyzed in various dimensions. Primary data is collected from 40 hospital personnel in Vijayawada region.
Design of Heat Sink and Thermal Analysis for Electronics Applications
Authors:   Mechanical, Vel Tech Rangrajan Dr.Sagunthala R&D Institute of Science and Technology, Avadi, T Ramesh. , V Ramesh. ,   Mechanical, Vel Tech Rangrajan Dr.Sagunthala R&D Institute of Science and Technology, Avadi, K Karthik. ,   Mechanical, Vel Tech Rangrajan Dr.Sagunthala R&D Institute of Science and Technology, Avadi,
Published: September 2019

The now days electronics compound very important of human life its high temperature generated during operating, it is problem take in account in this paper, so overcome this problem need to thermal management. When the increase the temperature due to reduce the compound life time. In this paper to analysis using Finite element analysis focuses on the passive cooling of electronics devices by using fin configuration, different heat flux, and materials like aluminum (6062), Copper, Tungsten to ensure lower temperature compare with maximum operating temperature, all electronic components generate heat during of their operation. To ensure best working of the electronics component, the produced heat needs to be removed using thermal management techniques. Finally more heat dissipated material with design aspect Tungsten suitable material for high input power for electronic compounds because the thermal conductivity high and low thermal gradient.
Automatic Detection and Classification of Brinjal Leaf DiseaSES
Authors:   Assistant Professor, Department of Electronics and Communication Engineering, Jeppiaar Institute of Technology, Chennai, Tamilnadu, India., Cynthia S. Mary , Livingston L. M. Merlin ,   Professor, Department of Electronics and Communication Engineering, Jeppiaar Institute of Technology, Chennai, Tamilnadu, India
Published: September 2019

The diseases in the Brinjal can be identified through the symptoms occur in Brinjal leaf. The indication in touch difference bin of various plant diseases. The designation of disease detection need the specialist's opinion. The inappropriate identification can result in tremendous quantity of economic loss for farmers. Rather than manual identification, computers are accustomed to give automatic detection and classifying differing kinds of diseases. In this paper, lesion areas affected by diseases are segmented using different techniques, namely DeltaE, Otsu, FCM, k-means algorithm are employed. The proposed method is the image blend by discrete wavelet transforms to increase the excellence of image and reduce uncertainty and redundancy for identification and assessment of agricultural yield which can be done by DeltaE. Further color, texture and structural based features are mixed collectively for getting better performance when compared with single feature extraction.
Arduino Based PWM DC-DC Boost Converter for Traction System
Authors:   Lecturer, Government Polytechnic Awasari College, Pune, India., Devarkar Nilambari V , Shiralkar Mrs. Ashpana ,   Assistant Professor and Head of Department, Electrical Engineering. AISSMS IOIT, Pune, India.
Published: September 2019

Now a day’s energy conservation is the most important thing in the world wide. The area of traction also take this into the consideration, so they take a step forward to use regenerative energy which is generated through the regenerative braking in the train. This regenerated energy most of the time get wasted in form of heat. Or most of the time it fed back to overhead equipment. Using regenerative braking energy battery energy storage system is charging used in many countries like japan, New Zealand, UK. This paper presents the implementation of a dc dc boost converter which used this regenerated energy in the traction system and boost the voltage of battery energy storage system. This paper presents the improved dc-dc boost converter which can be implemented in future in the Indian railways system. Arduino based PMW dc dc converter used in traction system to charge the battery energy storage system.
Developing Policies for Indian Entrepreneurs
Authors:   Research Scholar, Suresh Gyan Vihar University, Jaipur, India., Mishra Vivek , Jain T K ,   Suresh Gyan Vihar University, Jaipur, India.
Published: September 2019

Now a day’s term entrepreneurship not a new term for this world, everyone has seen its magic, effect not only in India but all over the world. This paper contributes the effects which entrepreneurship (Lundstrom and Stevenson (2005) has on improving economic conditions of country and what all the fields left yet where future research can be done. It also helps in explaining meaning of entrepreneurship policy, its effect on economy and how a government should create a policy so it can help entrepreneurs policy to grow.
Robust State Feedback Controller for Photovoltaic Inverter System using Unbundled Smart Meter
Authors:   Electrical Engineering Department, National Institute of Technology, Agartala, India., Sharma Navonita , Chakraborty Ajoy Kumar ,   Electrical Engineering Department, National Institute of Technology, Agartala, India.
Published: September 2019

The paper proposes the integration of photovoltaics into distribution power system through inverter control and optimally managing the power flow based on smart energy meter data. The concept of Unbundled Smart Meter (USM) is used which to optimally integrate the inverter control logic with in the Smart meter which requires the construction of SMX (Smart Meter Extension) library. The proposed approach is adapted to make the design more robust and dynamic. State feedback controller has been designed to control the power flow to and from between the inverter and grid through USM and hence provide additional services to support grid operations. The proposed system gives the flexibility of adding numerous functionalities in the installed smart meter without the fuss of firmware change and hence integration of renewables to grid becomes more efficient as the meter’s instantaneous data are used in the dynamic control of the system. The validation of the proposed scheme is achieved by time domain simulations on MATLAB/Simulink R2018a platform along with Arduino programming on Proteus 8.1 software. These results are further assessed through Hardware experiment observations.
Use of Technology in Voting: India and EVMs
Authors:   M.Phil degree from North Eastern Hill University, Shillong., Adhikari Anamika
Published: September 2019

Voting in India is not only a constitutional right but also is said to be the heart of Indian democracy. The democracy in India is built on the foundation of voting and a new tool of voting has been launched in India. The Electronic Voting Machine which is popularly known as EVM is an economical technological innovation. It is an electronic device which is used to record the cast votes and is used in place of the ballot papers and also the ballot boxes. Earlier, in India, in all elections a voter used to casts vote through ballot papers which is found to be not only a time-consuming process but also it is very much prone to errors. To avoid these errors EVM was introduced and are considered more reliable. This article deals with the overview of the EVM along with the design and technology attached to it. This article also discusses both the advantages as well as the limitation of the use EVMs particularly in the elections of India.
Feature-Based Opinion Mining for Amazon Product’s using MLT
Authors:   Associate prof in the Dept of CSE at KLEF Vaddeswaram, Guntur., Pathuri Siva Kumar , Alapati Viswa Ganesh. ,   Scholar UG, Dept Of Compter Science & Engineering, K L University, Vaddeswaram, Guntur, Teja Ponnekanti. Ravi ,   Scholar UG, Dept Of Compter Science & Engineering, K L University,Vaddeswaram, Guntur, Chowdary Rishi ,   Scholar UG, Dept Of CompterScience & Engineering, K L University,Vaddeswaram, Guntur
Published: September 2019

analysis of sentiment’s or opinion mining is one of the major challenge of NLP (natural language processing) .Business Analytics plays a major role in the present scenario with a view to improve their business. These human beings especially relies upon on reviews about their product to resist in the marketplace and information analytics which can give us an excellent insight on what to expect in the future. Opinions can be referred to, with which futures opinions can be expected. Few words or terms can determine outcomes or results. As maximum of these business people try to improve their business to get maximum profit by selling quality products .So, in this regard sentiment analysis has gain a whole lot attention in current years.SA is an area of study within NLP which is used in identifying the view or opinion of a particular feature inside a content i.e., text. This paper is based on the different techniques used to classify a specified text according to the views expressed in it, i.e. whether a person's overall mentality is negative or positive or neutral. We also examine the two-advance methods (feature classification followed by polarity classification) followed along with the experimental results. Finally in this paper we compared 3 ML classification techniques 1) SVM, 2) Naïve Bayes (NB) 3) Logistic Regression with Hybrid Algorithm in which hybrid algorithm gives more accuracy when compared with the other 3 ML algorithms.
Optimization of Process Parameters of Wire Cut Electrical Discharge Machining on Titanium Grade-5 Material using Design of Experiments
Authors:   M. Tech II year, Department of Mechanical Engineering, Prasad V Potluri Siddhartha Institute of Technology, Vijayawada, India, Kumar P.Sai , Kumar Dr. M.S.R.Niranjan ,   Professor & COE, Department of Mechanical Engineering, Prasad V Potluri Siddhartha Institute of Technology, Vijayawada, India., krishnaiah P, Gopala ,   Assistant Professor, Department of Mechanical Engineering, Prasad V Potluri Siddhartha Institute of Technology, Vijayawada, India
Published: September 2019

In this paper, a compelling methodology, Taguchi grey relational analysis, was employed to the test results of wire-cut electrical discharge machining on Titanium Grade - 5 material with the consideration of multiple performance characteristics of the output response variables. The methodology merges the orthogonal array design of experiment with grey relational analysis. The primary target of this examination is to accomplish the maximization of material removal rate, minimization of both Surface roughness and kerf width. Grey relational theory is implemented to assess the optimal process parameters that improve the response measures. The test was finished by utilizing Taguchi's orthogonal array L18. Each test has been performed under various states of input parameters. The response table and grey relational grade for each level of the machining parameters have been established. From 18 tests, the best mix of parameters was identified. The results of test verify that the suggested technique in this investigation adequately develops the machining performance of Wire cut EDM process.
Performance Improvement of Hand Gesture Recognition By using Sparse Coding With Kinect V2 Sensors
Authors:   Ph.D. Scholar, Bapurao Deshmukh College of Engineering, Sevagram Wardha, Maharashtra State-442102, India, Sekhar S.Chandra , Mhala Dr. N.N. ,   Professor& Principal, Government Polytechnic College. Thane, Maharashtra State, India.
Published: September 2019

This paper presents an important technique with improvement property for image identification intention. Here the important technique which is sparse coding representation acts as a major ROLE in achiveving One-short learning and real recognition of actions[1]. The implementation method based on mainly 3-D Histogram of prospect flow with Global Histograms of orientated Gradient .The major and most important of this method is to use imprison on major level regions from the given data sets . With this data then suggest a instantaneous to get video segmentation and video gratitude of hand gesture action by using linear SVMs.This paper mainly highlights the major role of sparse coding technique to stand for 3D proceedings [2] .From this paper we obtain very good results in an domestic dataset captured by Kinect V2 sensors together with hand gesture proceedings and complex hand gesture actions differing by small details.
SR-UML: Quality Visualization in Software Design
Authors:   Department of Information Technology, Medi-Caps University, Indore (MP), India, Chourey Vaishali , Sharma Meena ,   Department of Computer Engineering, IET(DAVV), Indore (MP), India
Published: September 2019

The current requirements of software are intensively based on load sharing, on-demand services, cascading requirements, redundancy for reliability and executing on heterogeneous environments. It needs precise architectural details for development of such software systems. These are large scale software systems with complex interactions amongst the constituent components. Testing for performance and conformance to quality requires perspective modeling fordesigning critical systems. The analysis of these systems is focused on dynamic or execution time behavior for achieving quality. In the same context, this paper redefines Functional Flow Specification for dynamic analysis of critical and collaborating systems. Functional Flow based modeling is a mature concept in the domain of system engineering but is rarely applicable to software systems. Functional Flow Block Reliability Diagram (FFBRD) is a notation for abstract view of the system evolution and interactions. This adopts the specification format of UML and system modeling conventions of SysML specially Enhanced Functional Flow Block Diagram (EFFBD). The flow of data and control are so designed that it best suits the approaches for quality analysis like system reliability. The method proposed is System Reliability with UML or SR-UML for generating test through FFBRD. It also caters to the need of designing software in a familiar formalization for extending, translating and simulating with existing algorithms. From the results collected through various scenarios, we can conclude that SR-UML is instrumental in process improvement of current software development methods.
Sensor Based Smart Monitoring and Controlling System for Cultivation using Labview
Authors:   Associate Professor, Department of EEE, Malla Reddy Engineering College (A), Maisammaguda, Hyderabad, India., Narendrakumar Ch. , Pradeep M. ,   Department of ECE, Shri Vishnu Engineering College for Women (A),Bhimavaram,India., Rajeswaran N. ,   Professor, Department of EEE, Malla Reddy Engineering College (A), Maisammaguda, Hyderabad, India., Lawrence T.Samraj ,   Department of CSE, Francis Xavier Engineering College(A),Tirunelveli,India.
Published: September 2019

Agriculture is the most important back bone of India. Now a day’s farmers are reduced because of various problems like water problem, real estate, technology etc. Here our proposed system is to make use of existing technology to improve the farming percentage, gardening and nursery in a smart, effective and accurate method. Our proposed design is an automatic smart monitoring and controlling field system based on IoT which is implemented with NI LabVIEW and NI myRIO interfacing device. NI LabVIEW is a tool for testing, automation, measurement and monitoring system. NI myRIO is an embedded hardware where sensors like Temperature sensor, Moisture sensor, Rain sensor, Humidity sensor, Motor and communication protocols are interfaced with the help of LabVIEW. In this paper, we proposed ground water harvesting though that rain water is stored in the water tank which can be used in future for sprinkling water when soil moisture is less. This proposed design is the best way of economical accuracy and low-cost maintenance system. The concept of IoT in this paper is to monitor the status of the field like water level indicator in the tank, temperature of the field, to know the moisture of the field and detection of rain by using mobile phone or PC or Tab form any part of the world. This research will help the small-scale, mid-scale and high-level forming lands and it will increase the yield percentage and save the agriculture.
An Improved Stacked Denoise Autoencoder with Elu Activation Function for Traffic Data Imputation
Authors:   Department of Computer Science, Sri Ramakrishna College of Arts and Science, Coimbatore, India., Narmadha S. , Vijayakumar Dr V. ,   Department of Computer Science, Sri Ramakrishna College of Arts and Science, Coimbatore, India.
Published: September 2019

Traffic data plays a major role in transport related applications. The problem of missing data has greatly impact the performance of Intelligent transportation systems(ITS). In this work impute the missing traffic data with spatio-temporal exploitation for high precision result under various missing rates. Deep learning based stacked denoise autoencoder is proposed with efficient Elu activation function to remove noise and impute the missing value.This imputed value will be used in analyses and prediction of vehicle traffic. Results are discussed that the proposed method outperforms well in state of the art approaches.
Design and Control of an Autonomous PV System with Battery Storage and Single Phase Inverter using the Smart Control Followed by PI Correctors
Authors:   Laboratory of Radiation - Matter & Instrumentation, University Hassan the first, Faculty of Science and Technology, B.P.: 577, 26000 Settat, Morocco., El maati Essaid Ait , Boulal Abdellah ,   Laboratory of Radiation - Matter & Instrumentation, University Hassan the first, Faculty of Science and Technology, B.P.: 577, 26000 Settat, Morocco., Radouane Abdelhadi ,   Laboratory of Radiation - Matter & Instrumentation, University Hassan the first, Faculty of Science and Technology, B.P.: 577, 26000 Settat, Morocco., Mouhsen Azeddine ,   Laboratory of Radiation - Matter & Instrumentation, University Hassan the first, Faculty of Science and Technology, B.P.: 577, 26000 Settat, Morocco.
Published: September 2019

The autonomous photovoltaic system requires a battery for storage of energy, for consumption during the night and days with low irradiation. This article presents the design and control of the autonomous PV system with a storage battery and a single-phase inverter. The SEPIC converter is used to adapt the output voltage of the PV panel to the battery charging voltage, this converter is controlled by the intelligent MPPT control followed by PI controllers to extract the maximum power of the GPV and manage the charge and discharging loop the battery. Subsequently, a BOOST converter has been associated with the system to adapt the output voltage of the battery to the load. The modelling of the state space is done to determine the transfer function of the converters (SEPIC and BOOST). The single-phase inverter is used to supply alternative loads. The values of the PI correctors (Kp and Ki) are obtained using the method of Ziegler Nichols. Finally, we simulated and analysed the performance of a 250W stand-alone photovoltaic power system on MATLAB- Simulink.