bluuebunny/crossref_metadata_2025 huggingface dataset:
Effect of Indium Incorporation on The Physical Behavior of ZnS Nanoparticles
Authors:   Department of Physics, Maharishi Markandeshwar University - Sadopur, Ambala -134007, Haryana, India, Kumar* Suresh , Dhupar Anu ,   Department of Physics, Maharishi Markandeshwar (Deemed to be University), Mullana, Ambala, -133207, Haryana, India, Department of Physics, Chandigarh University - Gharaun, Punjab, India., Sharma Vandana ,   Department of Physics, Maharishi Markandeshwar (Deemed to be University), Mullana, Ambala, -133207, Haryana, India, Sharma J. K. ,   Department of Physics, Maharishi Markandeshwar (Deemed to be University), Mullana, Ambala, -133207, Haryana, India, Gaur Anurag ,   Department of Physics, National Institute of Technology, Kurukshetra -136119, Haryana India.
Published: January 2020

In–doped ZnS nanoparticles are synthesized via chemical co-precipitation method using different precursor solutions of zinc acetate (source of Zn2+ ions), sodium sulphide (source of S2- ions), indium sulphate (source of dopant In3+ ions), ammonium hydroxide (works as a complexing agent) and EDTA (as a capping agent). The effect of different concentrations of Indium (0%, 1%, 3%, and 5%) on the structure, morphology, and elemental composition properties of nanoparticles have been studied using different characterization techniques. XRD study shows the formation of cubic structure in the synthesized nanoparticles. The average size of nanoparticles calculated using Debye - Scherrer’s equation is in the range of 5.7–2.4 nm. It has been observed that the size of ZnS nanoparticles decrease with an increase in Indium concentration. SEM micrographs have explored the surface feature of the nanoparticles. It clearly shown that the morphology of spherical nanoparticles is changing with In concentration. The elemental identification and mapping has indicated the homogeneous distribution of Zinc, Sulfur and Indium content in synthesized nanoparticles. FT–IR spectra have recognized the existance of characteristics absorption peaks for In-doped ZnS.
Best Practices for Student Satisfaction in Achieving Academic Excellence – An Empirical Research
Authors:   Department of English, PSG Institute of Technology and Applied Research, Coimbatore, India., Selvi* Dr.R.Tamil , Devi Dr.K.Sivananda ,   Department of Mechanical Engineering, PSG Institute of Technology and Applied Research, Coimbatore, India., Aramuthakannan Dr.S. ,   Department of Mathematics, PSG Institute of Technology and Applied Research, Coimbatore, India.
Published: January 2020

With the advent of technology and the challenges of engaging the students positively in the classroom, there is a humongous responsibility on the part of the educators, to satisfy the requirements of the students. The objective of the study is to investigate the effect of best practices in achieving students’ satisfaction. Some of the best practices that have been considered for achieving student satisfaction in this paper include academic (teaching learning process and knowledge acquisition and skills), social (a sense of belonging and interaction with faculty and peers), and environmental (sense of connectedness and utilization of campus resources). An innovative Student Satisfaction Measuring Instrument SSMI) was developed and used to measure the students’ satisfaction with reference to achieving academic excellence. The pilot study was administered for 20 students before the actual application of the instrument. Based on the feedback from the students and peers, the SSMI was improved to further fit in the requirements. The questionnaire included students’ demographic data, socio-economic status and close-ended questions in a five Likert type scale. The sample consisted of N = 286, where 113 (39.5%) were female and 173 (60.5%) were male undergraduate first year students of PSG Institute of Technology and Applied Research (PSG iTech). The data was analyzed using, Pearson r and ANOVA to identify the levels of student satisfaction. It was found that the subscales namely college environment, classroom infrastructure, teaching learning process, student-teacher relationship had a positive effect on achieving students’ satisfaction. The results of the study also indicate that the students’ satisfaction had a significant impact on their academic excellence. Further, this research will also sensitize curriculum developers, teacher trainers, administrators, and especially the teachers about the importance of best practices to be adopted for creating a conducive environment for student satisfaction. The work has been concluded with suggestions and future developments in achieving high academic performance with satisfied students.
A Recapitulation of Imbalanced Data
Authors:   Department of Computer Science, Kakatiya University, Warangal, Telangana, India., Layaq* Shaheen , Manjula Dr. B. ,   Department of Computer Science, Kakatiya University, Warangal, Telangana, India.
Published: January 2020

In today’s authentic universe almost all applications are imbalanced. Data imbalance is growing faster than ever before as many systems are interested in extracting knowledge from lake of data. Imbalance issue occurs because required data is very rare and using that rare data if classification is done we may lead to inaccurate result. In few sensitive imbalance cases like medical and finance if classification is done health and wealth both will get a huge lost. It is observed that big data and imbalance issue are having hand in hand relationship. So, imbalance data is gaining much importance in data science. It is predicted that by the year 2020, about 1.7MB of lake of information will be created every second by each device due to development in science and technology. Almost this lake of information generated will be imbalanced. So, in this paper we will define big data and imbalanced data, how there are related to each other, some of the reasons why imbalance data problems are occurring, various areas where imbalance issues is been effecting, current four machine learning methods for imbalanced data (Data based method, Algorithm based method, Cost sensitive method and ensemble methods), overall performance evaluation of imbalance methods are done using a comparison chart and interpreting achievements of imbalanced data using confusion matrix, Combined evaluation measures (G-means, F-Measure, Balanced Accuracy, Youden Index and Matthews’s correlation coefficient) and Graphical performance evaluation using Receiver operating characteristic (ROC) curve and Area under the curve (AUC) and lastly, considering of result of various imbalance methods.
Relationship among Various Performance Measures and Outsourcing Services in the Third-Party Logistics Industry
Authors:   Research Scholar, Department of Mechanical Engineering, Noorul Islam Higher Education, Kumaracoil, Tamilnadu, India, Ashok* R. , Rajesh R. ,   Principal, Rohini College of Engineering & Technology, Anjugrammam, Tamilnadu, India
Published: January 2020

In the recent years third-party logistics market is an emerging trend all over the world and most of the companies want to reduce the logistic costs, increase the market share, and focus on competency through the use of 3PLs. Due to the diversity of economic development, industrial segments and core competency between the markets, the third-party logistic market is growing very fast in the United Arab Emirates. The empirical study was carried out based on 102 responses received from 200 respondents for the third-party logistics market in Abu Dhabi, UAE. These data are analyzed by the SPSS software. Accordingly, the Friedman’s test shows that the full truck load & transportation management and freight forwarding are the major outsourced activities from the 3PL firms having the “P” value which is lower than 0.01, with the null hypothesis being rejected at 1% level of significance. The detailed study explains the Pearson correlation coefficient, the regression analysis for the various business measures and factor analysis of the influencing the success factors in the 3PL market and necessity of outsourcing of 3PL services in Abu Dhabi, UAE.
Experimentation on Mechanical Properties of Fiber Reinforced Polymer Composite Material
Authors:   Department of Mechanical Engineering, Osmania University, Hyderabad, India., Raj* C Naveen , Rao DRS Narsingh ,   Mechanical Engineering, Vidya Jyothi Institute of Technology, Hyderabad, India., Praveen N ,   Mechanical Engineering, Osmania University, Hyderabad, India., Sravya G ,   Mechanical Engineering, Vidya Jyothi Institute of Technology, Hyderabad, India.
Published: January 2020

The naturally available material such as Sisal has been using in several applications in fabricating composite materials due to its exceptional durability with a minimum wear and tear and due to its ability to stretch. Using sisal fiber as reinforcement to form sisal fiber reinforced polymer composites, strengthen the study of mechanical properties of the composites. In this project, we have enhanced the mechanical properties of the sisal/glass fiber incorporated with polyurethane. Polyurethane is an extremely versatile elastomer used in countless applications worldwide. It has some excellent properties like high abrasive resistance, wide range of hardness, high load bearing capacity, wide resilience range, flexibility, strong bonding properties which makes it an ideal choice in the field of composite preparation. In this study, the composite material is fabricated by mixing Polyurethane proportionally with the sisal/glass fiber. After the fabrication is done, it is planned to study the mechanical properties of the composite material using different testing tools like Universal Testing Machine, Izod test, and hardness tester.
Indian Stock-Market Prediction using Stacked LSTM AND Multi-Layered Perceptron
Authors:   Maharaja Agrasen Institute of Technology Rohini Sector -22, New Delhi, India., Banyal* Siddharth , Goel Pushkar ,   Maharaja Agrasen Institute of Technology. Rohini Sector -22, New Delhi , India., Grover Deepank ,   Maharaja Agrasen Institute of Technology Rohini Sector -22, New Delhi , India.
Published: January 2020

We aim to construe the Stacked Long–Short term memory (LSTM) and Multi-layered perceptron intended for the NSE-Stock Market prediction. Stock market prediction can be instrumental in determining the future value of a company stock.It is imperative to say that a successful prediction of a stock's future price could yield significant profit which would be beneficial for those who invested in the pipeline of things including stock market prediction. The model uses the information pertaining to the stocks and contemplates the previous model accuracy to innovate the approach used in our paper. The experimental evaluation is based on the historical data set of National Stock Exchange (NSE). The proposed approach aims to provide models like Stacked LSTM and MLP which perform better than its contemporaries which have been achieved to a certain extent. This can be verified by the results embedded in the paper . The future research can be focused on adding more variables to the model by fetching live data from the internet as well as improving model by selecting more critical factors by ensemble learning.
Optimal Cellular Automata Technique for Image Segmentation
Authors:   Research Scholar, Dept. of Computer Science, Bishop Heber College Affiliated to Bharathidasan University, Trichy. T.N, India., A. A.* Mariena , Sathiaseelan J.G.R. ,   Asso. Professor and Head, Dept. of Computer Science, Bishop Heber College Affiliated to Bharathidasan University, Trichy. T.N, India.
Published: January 2020

Leukemia death secured 10 thplace among the most dangerous death in the world. The main reason is due to the delay in diagnosis which in turn delayed the treatment process. Hence it becomes an exigent requirement to diagnose leukemia in its early stage. Segmentation of WBC is the initial phase of leukemia detection using image processing.This paper aims to extract WBC from the image background. There exists various techniques for WBC segmentation in the literature. Yet, they provides inaccurate results.Cellular Automata can be effectively implemented in image processing. In this paper, we have proposed an Optimal Cellular Automata approach for image segmentation.In this approach, the optimal value for alive cells is obtained through particle swarm Optimization with Gravitational Search Algorithm (PSOGSA). The optimal value have fed in to the cellular automata model and get the segmented image. The results are validated based on the parameters likeRand Index (RI), Global Consistency Error (GCE), and Variation of Information (VOI). The Experimental results of proposed technique shows better results when compared to the previously proposed techniques namely, Hybrid K-Means with Cluster Center Estimation, Region Splitting and Clustering Technique and Cellular Automata. The proposed technique outperformed all other techniques.
Conscientious Ant Colony Optimization Based Support Vector Machine for Text Document Classification
Authors:   Assistant Professor in the Department of MCA in Nehru College of Management, Coimbatore., Deepa* A. , Blessie Dr. E.Chandra ,   Professor in the Department of MCA in Nehru College of Management, Coimbatore.
Published: January 2020

Document classification indicates the keyword extraction and it become a thrust research in text mining research. The main purpose of keyword extraction is to classify the documents in a more efficient manner. Misclassification of documents may lead the results to worst case. Hence, there exists a need for optimization to precede the document classification more efficiently. In this paper Conscientious Ant Colony Optimization based Support Vector Machine is proposed to classify the documents. Different keyword extraction methods are available for extracting the contents from documents. Proposed classifier is ensemble with selected keyword extraction methods to increase the classification accuracy. Results shows that the proposed classifier has got better accuracy when ensemble with different keyword extraction methods. The results show that the proposed classifier has better performance in terms of Classification Accuracy and F-Measure, than baseline classifiers.
Convolutional Long Short-Term Memory Hybrid Networks for Skeletal Based Human Action Recognition
Authors:   Research Scholar, Department of ECE, JNT University Kakinada, Kakinada, India., Prasad* K. Vijaya , Kishore P.V.V. ,   Department of Electronics and Communication Engineering, Koneru Lakshmaiah Education Foundation,, Rao O. Srinivasa ,   Professor, Department of CSE, UCEK, JNT University Kakinada, Kakinada, India.
Published: January 2020

The objective is to develop a time series image representation of the skeletal action data and use it for recognition through a convolutional long short-term deep learning framework. Consequently, Kinect captured human skeletal data is transformed into a Joint Change Distance Image (JCDI) descriptor which maps the time changes in the joints. Subsequently, JCDIs are decoded spatially well with a Convolutional (CNN). Temporal decomposition is executed on long short term memory (LSTM) with data changes along x , y and z position vectors of the skeleton. We propose a combination of CNN and LSTM which maps the spatio temporal information to generate a generalized time series features for recognition. Finally, scores are fused from spatially vibrant CNNs and temporally sound LSTMs for action recognition. Publicly available action datasets such as NTU RGBD, MSR Action, UTKinect and G3D were used as test inputs for experimentation. The results showed a better performance due to spatio temporal modeling at both the representation and the recognition stages when compared to other state-of-the-arts.
Onpairwise Compactness in Fuzzy Finebi- Topological Spaces
Authors:   Department of Mathematics, Sri Sarada College for Women(Autonomous), Salem, Tamilnadu, India., Sugapriya* K. , Amudhambigai Dr. B. ,   Department of Mathematics, Sri Sarada College for Women(Autonomous), Salem, Tamilnadu, India
Published: January 2020

In this paper the concepts of Pairwise ( , ) if jf T T fuzzy fine dually open cover, Pairwise ( , ) if jf T T fuzzy fine dually compact spacesand Pairwise ( , ) if jf T T fuzzy fine connected spaces are introduced and also an equivalent statement on Pairwise ( , ) if jf T T fuzzy fine dually compact spaces is established.
Head Gesture Recognition System using Thermal Camera
Authors:   Department of Electronics Engineering, G H Raisoni College of Engineering, Nagpur, India., Bankar* Rushikesh , Salankar Dr. Suresh ,   Department of Electronics & Telecommunication Engineering, G H Raisoni College of Engineering, Nagpur, India.
Published: January 2020

The Gesture is defined as movement of the part of the body. In the existing research work, the research based on the camshift based head gesture recognition system is going on. This existing system deals with some limitations. So, to overcome these limitations, the methodology used in this paper is to improve the existing algorithm and the camera used. This proposed system is used in an intelligent wheelchair for the peoples having parkingson and quadriplegics diseases. The HGR System is the difficult task in the field of image processing. The different researchers applied different algorithms for identifying head gestures in the outdoor environments. In this paper, head gestures of the user are recognized by using thermal camera. The different environmental conditions are the cluttered background, sunshine, shadow, changing illuminations, lighting condition, darkness conditions etc. the role of thermal camera is the best in the darkness conditions. The simulation results shows the use of thermal camera in the darkness conditions.
Application of Non-Additive Entropy in Questionnaire Theory
Authors:   Department of Mathematics, Maharishi Markandeshwar University, Mullana, Ambala, India, Ram* Gurdas , Kumar Satish ,   Department of Mathematics, Maharishi Markandeshwar University, Mullana, Ambala, India, Budhiraja Rajeev ,   Department of Mathematics, Maharishi Markandeshwar University, Mullana, Ambala, India.
Published: January 2020

In present communication We proposed two new measure of average charge for miscellaneous set of questions under non-additivity and studied their properties These measures includes the earlier studied measures as limiting and particular cases .A relation between these measures have been established. it shows that the average charges are upper bounds of non-additive mean value entropies.
The Relation between Structural Distresses in the Flexible Pavements
Authors:   Department of Civil Engineering, DIT, Pimpri, Pune, Savitribai Phule Pune University, Pune, India., Wadalkar* Shruti , Lad Dr. R. K. ,   Department of Civil Engineering, JSPM Narhe Technical Campus, Pune, India, Savitribai Phule Pune University, Pune, India.
Published: January 2020

The pavement management system deals with maintenance, repair, and rehabilitation of pavements. Pavement Condition evaluation is one of the critical steps in the pavement management system. It required distresses identification and measurement on the pavement surface. Structural distresses are an essential component in the pavement condition evaluation. To take decisions precisely, it is necessary to develop the relationship between various distresses. In this study, the relationship between structural distresses in flexible pavements has been analyzed. The primary structural distresses as longitudinal cracking, transverse cracking, Fatigue cracking, Block cracking, and deflection has been considered for the study. The correlation between all the distresses has been analysis. For correlation analysis, the Pearson Correlation Coefficient is used. The values of the Pearson correlation coefficient indicate that there is a strong positive relationship betweenthe distresses. Furthermore, to develop a prediction model, the regression analysis has been done. The values of the coefficient of regression indicate that the relationship is linear and positive between the structural distresses.
An Approximate Multiplier for Efficient Multiplication using Xilinx
Authors:   Associate Professor, Department of ECE, Koneru Lakshmaiah Educational Foundation, Guntur, AP, India., Prabakaran* N. , Deepika A. ,   Department of ECE, Koneru Lakshmaiah Educational Foundation, Guntur, AP, India, Gunavardhani Y. ,   Department of ECE, Koneru Lakshmaiah Educational Foundation, Guntur, AP, India, kumar P.Anil ,   Department of ECE, Koneru Lakshmaiah Educational Foundation, Guntur, AP, India
Published: January 2020

In this paper, four double quality 4:2 blowers are proposed. Double quality blowers implies it has a capacity of exchanging between two modes to be specific correct and rough working modes. Double Quality blowers have capacity to give the higher speeds and will bring down the precision. To plan this model ordinary dada multiplier is taken as reference. Multiplier involves huge region yet it performs rapid tasks. To decrease the downsides in the framework we have actualized surmised double quality 4:2 blowers utilizing dada multiplier.
Methods of Image Retrieval Based Cloud
Authors:   Computer Sciences, Iraqi Commission for Computer & Informatics Institute for Postgraduate Studies, Baghdad, Iraq., Khassaf* Nuha M. , Shaker Asst.Prof.Dr. Shaimaa H. ,   University of Technology,Baghdad, Iraq.
Published: January 2020

Content Based Image Retrieval (CBIR) introduces for the time being the most used system allowing detecting the visual features of images by using processing techniques due to the challenges of recovering photos depending on the text.The essential mechanism of content based image retrieval system is analysis picture information with low-level feature of an image, including colour, texture, determining edges, that has stages which includes the stage of classification of images, then the stage of extracting features and the stage of finding similar images and finally, evaluating the system and according to the technique or techniques used in each stage from stages of content based image retrieval system to increase the accuracy and speed of recovery for images ,together can using advantages cloud computing, which can provide a number of integrated computer services without being restricted to local resources, which include storage space, processing capabilities, expansion, flexibility and other various services through the Internet and deal with cloud through the platform as a user interface such as Microsoft Azure , Google Cloud platform, Amazon Web Services and others. In this paper, an analytical study of many CBIR techniques in terms of their behavior, feature extraction and work on Cloud Computing. All these techniques have their own avails as well as certain limitations, that means, there is not a one technique that suits superior all sorts of user’s needs,but using of advantages of cloud increase the improvement of performance. The focus be on the technique (features of Principle Component Analysis (PCA)) with advantages of Cloud Computing as a helpful way to extraction the features as shown in the results derived from the comparison.
Quality Characteristics of Ground Waters in Few Sources of Industrial Zone
Authors:   UGC- Post Doctoral Fellow, Centre for Women Studies, Andhra University, Visakhapatnam, A.P., India., Palivela* Hepsibah , Ravali B. ,   Assistant Professor, Department of Civil Engineering, Vignans Foundation for Science Technology and Research, Guntur, A.P., India., Raju M.V. ,   Assistant Professor, Department of Civil Engineering, Vignans Foundation for Science Technology and Research, A.P., India, Das K.Maria ,   Assistant Professor, Division of Chemistry, Vignans Foundation for Science Technology and Research, Guntur, A.P., India., Kumar T.Ch.Anil ,   Assistant Professor, Department of Mechanical Engineering, Vignans Foundation for Science Technology and Research, Guntur, A.P., India.
Published: January 2020

The Population growths along with rapid industrialization and strain on civic services have been major causes for environmental degradation globally, especially many of surface and subsurface water bodies gets polluted by rapid industrialization and urbanization, usage of chemical fertilizers in agriculture practices, untreated sewage, industrial effluents, etc., and in addition of lack of public awareness may all cause damage to the quality characteristics i.e. physio-chemical changes in water environs. The ground water quality deteriorating due to seepage of pollutants from various polluted water bodies, like ponds, lakes and runoff, etc. Here an attempt is made to know the quality characteristics in the ground water at Auto Nagar area of Guntur by the Water Quality Index (WQI) with the parameters of pH, Chlorides, TDS, Total Hardness, Ca Hardness, Nitrates, Sulphates, Iron, Dissolved Oxygen and it was found that quality ranges of WQI from 37 to 90, which is a satisfactory quality for domestic utilization of ground water resources
Advanced and Emergent Equity Market Behaviour
Authors:   Professor, Prestige Institute of Management, Gwalior (M.P.) India., Sikarwar* Dr. Tarika Singh , (Holani) Ms. PayalMalani ,   Research Scholar, Department of Commerce, Jiwaji University,Gwalior (M.P.) India.
Published: January 2020

The drive of this work is to observe the bidirectional association in a section of advanced and emergent equity market places at diverse points of time. For the study purpose top ten Advanced and emergent markets are taken into consideration. Daily closing prices of these markets’ representative index were taken over a period of twenty-three years. Granger Causality Test was applid after checking the assumption of causality. An existence of bidirectional relational was established for nations. VAR test was also applied further to estimate the causality in the short term.
Effectiveness of Innovation Dissemination in Efforts to Increase Adoption of Sustainable Rice Innovation using LISREL
Authors:   Doctoral Program, Study Program of Development Extension Science, Graduate School, IPB University, Bogor, West Java, 16680, IndonesiaResearcher at The Indonesian Center for Agriculture Technology Assessment and Development/IAARD., Mardiharini* Maesti , Sumardjo  ,   Department of Communication Science and Community Development, Faculty of Human Ecology, IPB University, West Java 16680, Indonesia., Tjiptopranoto Prabowo ,   Department of Communication Science and Community Development, Faculty of Human Ecology, IPB University, West Java 16680, Indonesia., Sadono Dwi ,   Department of Communication Science and Community Development, Faculty of Human Ecology, IPB University, West Java 16680, Indonesia.
Published: January 2020

The main issue related to the role of innovation-producing institutions during the last two decades is the limited innovation adopted by end users. The aim of this study was to (1) analyze the perceptions of researchers-extension agents-farmers about the accuracy and speed of innovation,(2) analyze the factors that influence the accuracy and speed of adoption and diffusion of innovation, and (3) formulate effective strategies for disseminating innovation in the future. The study was conducted through a survey approach, from March to December 2018 at rice production centers in Central Java and West Java Provinces, Indonesia. Number of respondents (n) was 270 rice farmers. The first objective was answered using descriptive analysis and tabulation, while the second and third objectives were answered using Structural Equation Models (SEM) with LISREL software version 8.72. SEM analysis is a combination of factor analysis, path analysis and regression. The results of the study indicated differences in perceptions within researchers-extension agents-farmers about the accuracy of innovation. The effectiveness of dissemination is very strongly represented by indicators of time and quality accuracies. The effectiveness of dissemination is at the same time a factor influencing the acceleration of diffusion. In the future, it is necessary to investigate the accuracy of each innovation produced by Indonesian Agency for Agricultural Research and Development (IAARD), and understand every actor who plays roles in the innovation system, starting from the producer/provider of innovation, extension agents and other sources of information, as well as users/farmers. The other factors influencing the dissemination of innovation (delivery system) are the capacity of the information sources and the characteristics of the innovation itself.
Assessing Adoption and Implementation of Mobile Technology-Based Library Services in Academic Libraries
Authors:   Lecturer, School of Information and Communication Studies, University of Ghana, Legon and KAAF University, Ghana., Dei* De-Graft Johnson
Published: January 2020

Mobile Technologies (m-tech) have been embraced by stakeholders of academic libraries globally in recent times as a medium that can offer convenient library services to library patrons. This study was to ascertain the potentials of adopting and implementing m-tech based library services in academic libraries in Ghana. The study was a descriptive survey and the mixed-method approach was used. The major findings were that there were a strong awareness and deep appreciation for the use of m-tech library services among library management and students, however, m-tech based library services have not been implemented in the libraries due to diverse reasons. These include inadequate ICT infrastructure, skills gap as a result of lack of training, lack of policy framework for the adoption of the technology and clearing the hurdle of convincing university management to accept the technology. As a result, it was recommended that the libraries need to invest more in ICT infrastructure specifically m-tech infrastructure and build on their human resource base through recruitment and professional training on emerging technologies
Q-Methodology: A New Way to Develop an Effective Teaching Model for the Development of Students’ Creative Activity
Authors:   Postgraduate student, Department of social and differential psychology, Faculty of Philology, Peoples' Friendship University of Russia, 117198, Moscow, Miklukho-Maklaya st. 6, Russia., Thuy* Bui Thi Le , Ilyich Kazarenkov Vyacheslav ,   Doctor of Pedagogical Sciences, Professor of the Department of social and differential psychology, Faculty of Philology, Peoples' Friendship University of Russia.
Published: January 2020

In this study a Q-methodology was used to find out the factors that influence students’ creative activity development. A sample of 94 Vietnamese teachers and students was recruited to participate in the present study. We used a Q-sample of 56 statements and a Q-grid with an 11-point scale. Data analysis was performed by using a web application – Ken-Q Analysis version 1.0.6. Factors were extracted by using principal components and varimax method. Research results showed that there were two factors influencing students’ creative activity development: Factor I – the teachers’ teaching activity and factor II – the students themselves. Factor I had an eigenvalue of 46.6 which accounted for 50% of the study’s variance, contains 64 respondents who had significance loading on this factor. Factor II had an eigenvalue of 7.24 which accounted for 8% of the study’s variance, contains 30 respondents who had significance loading on this factor. Based on the research results obtained, we proceed to build an effective teaching model for developing the creative activity of students. In this model, each factor consists of many specific elements with different scores (from -5 to +5). The model includes focal and corrective elements. The findings of this study indicate that for achieving creative goals of the teaching process it requires efforts from both teachers and students themselves. This model is a useful tool that can help clear orientation for teachers and students. It can be applied in the teaching process at universities to improve creative activity for students. This article is considered the first study using Q-methodology to study an effective teaching model for developing students’ creativity.
Production of Non-Estate Tea Sector in Assam
Authors:   Assistant Professor, Department of Economics, Sibsagar College, Sibsagar, India., Gam* Ranjit Kumar , Deka Jugal Kumar ,   PhD Scholar, OKD Institute of Social Change and Development, Guwahati, India.
Published: January 2020

The state of Assam is well known for tea production and among all the tea producing states in India it alone contributes more than 50% of total tea production. Production of tea includes agricultural operations as well as processing and manufacturing and hence it can be placed in both agriculture and industry. Tea has immense potential in generating income and employment. Though the history of Assam Tea is more than 180 years old, the participation of local people in this sector was very limited. Earlier establishment of a tea garden was thought to be a capitalist activity requiring massive investment. It is only in the late 1980s, local Assamese people came to know that tea plantation can be profitably undertaken even in small scale with low capital investment. This paved the way for the educated unemployed youth of Assam to undertake tea plantation in small scale. Since then tea plantation in small scale in Assam grew gradually complementing estate gardens by supplying green tea leaves. In the late 1990s due to various constraints, the estate sector tea production in Assam experienced low productivity with declining tea acreage. This has further pushed the rapid growth of small tea growers. The estate gardens of Assam also became more dependent in procuring green tea leaves from the tea smallholding by offering high price. During the period 1996-98 small tea growers of the state received as high as Rs. 22/- per kg of green leaves which did not last very long. Due to various reasons price of produce of small tea growers has fallen sharply after the year 2000. Since then though acreage and productivity of small tea growers shows continuous growth, the growers often complain about low price for their produce. In this paper an attempt has been made to analyse the trend of tea acreage, production and price received in the non-estate sector tea production in Assam.
Fault Classification and Fault Zone Identification in a Thyristor Controlled Series Compensator Based Transmission Line by using Decision Tree
Authors:   School of Electrical Engineering, Kalinga Institute of Industrial Technology, KIIT Deemed to be University, Bhubaneshwar , India., Pradhan* Arjyadhara , Mohapatra Dr. Srikanta ,   Associate Professor, School of Electrical Engineering, KIIT Deemed to be University, Bhubaneswar, Odisha, India., Ghosh Prasad Ranjan ,   Pursuing M.Tech Degree, Department of Electrical Engineering Under Kiit Deemed To Be University. Bhubaneswar, Odisha, India., Prof Soubhagya  ,   Assistant Professor, School of Electrical Engineering, KIIT Deemed to be University, Bhubaneswar, Odisha, India.
Published: January 2020

A new method has been introduced for classification of fault and to identify zone of fault in Thyristor Controlled Series Capacitor based line by utilizing Decision Tree method. PSACD/EMTDC software is used in this paper for the simulation of TCSC. Voltage and current samples after fault are used in this method as input against predicted output vectors for zone identification of fault. Decision Tree based classification algorithm also used to classify all ten types of faults in the TCSC based line. This method is being tested on simulated data and the results indicate that this method can classify different types of faults and also identify zone of fault more accurately than any neural network systems in a TCSC based line.
Fault Monitoring System for the Multistage Gear Box Based on MSTFT and GFLA Algorithm
Authors:   Research Scholar, Koneru Lakshmaiah Education Foundation, Vijayawada, AP, INDIA, and working as an Assistant Professor in Department of Mechanical Engineering, SGMCOE, Mahagaon Gadhinglaj, MH, India., Ghulanavar* Mr. Rohit , Dama Dr. Kiran Kumar ,   Associate Professor in Department of Mechanical Engineering, Koneru Lakshmaiah Education Foundation, Vijayawada, AP, India.
Published: January 2020

Gearbox functions as a significant transmission module in the mechanical devices in spite of its failure prone nature and hence there exists a need for the diagnosing the gearbox faults with an optimized solution and new methods should be engaged for improving the effectiveness, accuracy, reliability and few other such parameters. These attempts could meet the growing requirements for the condition monitoring in the detection of gear faults. The feature selection process is a notable process in the machine learning to achieve good performance in the diagnostic process. This framework builds up an innovative structure for fault diagnosis in the gearbox system. Six vibrating signals which are healthy gear signal, fault gear signal, healthy gear signal affected by noise, faulty gear signal affected by noise, distributed fault signal, and local fault signal have been generated with the prescribed dataset and the feature extraction was done by employing the Modified Short-Time Fourier Transform on the basis of Blackman window. This step was followed by selection of the features by using the combination of Genetic algorithm and Frog Leaping algorithm that is termed as GFLA.This novelty approach enhances the initialization process thereby enabling for the calculation of accurate best score calculation. The classification method is performed Support points on the basis of neural network. Finally the performance analysis with respect to the existing methodologies proved the efficiency in detecting the fault of the proposed framework.
Three-Phase Power Analyzer using Labview
Authors:   Scholars Department, of Computer Science and Information Technology, Hefei University of Technology, Hefei, P. R. China., Khan* Muhammad Sulaiman , Afridi Nadeem ,   Scholars Department of Computer Science and Information Technology, Hefei University of Technology, Hefei, P. R. China., Abbas Saleem ,   Research Scholar, School of Electrical Engineering and Automation, Hefei University of Technology, Hefei, P. R. China.
Published: January 2020

An important requirement of power systems in this decade is the capability of power distribution among electrical devices and systems to improve power quality that depends on various factors, such as reactive, active, and apparent power. Virtual experiments and testing are considered important factors to achieve the best performance in this area. This research mainly aims to find low power factors and load to meet the requirements of electrical devices. Calculations are conducted on a real-time simulator LabVIEW to verify the effectiveness of linear and nonlinear values on the load to achieve the power factor.
A Retrospect of Prominent Cloud Security Algorithms
Authors:   FCIS, Islamic University in Medina, KSA., Alrehaili Ahmed , Aabid Mir*  ,   MIIT, University of Kuala Lumpur, Malaysia., Mir Junaid  ,   Laboratoire de Modelisation et Surete des Systemes (LM2S), Université de Technologie de Troyes, France.
Published: January 2020

The concept of Cloud Computing has been distinguished as one of the major computing models in recent years. This distinguish comes as a reflection of a rapid and intense interest from academic and industrial organisations which present it as an active area of research. Security has been always raised as one of the most critical issues of cloud computing where resolving such an issue would result in a constant growth in the use and popularity of cloud. Furthermore, issues related to service availability and interoperability has gained a substantial interest. Failing to address such issues would jeopardise consumers’ satisfactions. This article mainly discusses the causes of obstacles and challenges related to security, reliability, privacy and service availability. In this work, we analyse and compare the performance of selected algorithms over “Google App Engine” which is a web framework and could computing platform. A comparative analysis of the efficiency of Advanced Encryption Standard “AES” (Rigndael), Rivest-Shamir-Adleman “RSA” and Triple Data Encryption “DES” have been performed locally and over the cloud as well. The efficiency analyses covered encryption and decryption procedures separately. Experiments results are given to analyses the effectiveness of each algorithm. The results show that Triple DES manifested a higher time efficiency ratio over cloud when subjected to different data loads compares to AES and RSA.
Mechanism and Performance Analysis of Morphing Wing
Authors:   Department of Aeronautical Engineering, MLR Institute of Technology, Hyderabad, India., Arunkumar*  , Veeranjaneyulu  ,   Department of Aeronautical Engineering, MLR Institute of Technology, Hyderabad, India., prakash Om ,   Department of Aerospace Engineering, UPES, Dehradun, India., Sura Sreekanth ,   Department of Aeronautical Engineering, MLR Institute of Technology, Hyderabad, India., Srikanth Munigala ,   Department of Aeronautical Engineering, MLR Institute of Technology, Hyderabad, India.
Published: January 2020

Morphing wing concept is introduced to analyses wings aerodynamic performance the through warping mechanism. Thread rod mechanism is installed at the trailing edge of the wing to warp. Relative displacement between upper and lower skin of wing leads to have twisted wing. This new concept is applied at the demonstration wing which was built based on NACA 23012 airfoil section with a span of 0.580m and a chord length of 0.235m. Demonstrated model was tested using wind tunnel and analysis software. In general, it was demonstrated at lower AOA and the tests showed that warping could change the lift force in optimized manner. This study proved that a morphing wing can have optimum L/D ratio to minimize the fuel consumption of an aircraft and to ensure that the lift-to-drag ratio remains constant at various flight conditions.
Determination of Water Quality Index of Drinking Water Sources and Health Risk Assessment of Arsenic-Contaminated Rural Areas in Basirhat-1 Block of West Bengal
Authors:   PhD, Rural Development Centre of IIT, Kharagpur., Pattnaik* Pallabi , Bhowmick Pradip Kumar ,   PhD, D.Litt Joined IIT Kharagpur.
Published: January 2020

Arsenic (As) contamination in groundwater is a major environmental problem in West Bengal. People in rural West Bengal are mostly dependent on community deep tube wells for drinking purpose. North 24 Praganas in West Bengal is one of the most Arsenic affected districts in India. Most of the deep tube wells currently being used in North 24 Praganas have already been declared to be contaminated with Arsenic. Time to time evaluation of suitability of these water sources for drinking purposes and the assessment of health risk are very essential for knowing the severity of the condition and accordingly take timely mitigation measures. In this paper, the Water Quality Index(WQI) has been determined and Health Risk Assessment has been done for drinking water sources currently in use in one of the chronically Arsenic affected Basirhat-1 block of North 24 Praganas. For calculating WQI, the weighted arithmetic water quality index method has been adopted by taking pH, TDS, Sulphates, DO(Dissolved Oxygen), total Alkalinity, Total hardness, EC, Chloride and total Arsenic as parameters. The Health Risk Assessment has been done by considering the total Arsenic found in the water samples. For Health Risk Assessment, cancer and non-cancer risk assessment were done by following the deterministic method of risk assessment recommended by US EPA (Environmental Protection Agency). The WQI results indicates that all the sampled deep tube wells of the studied area are highly unsuitable for drinking purpose. Arsenic content was found to be 4 to 24 times higher than the permissible limit. The Hazard Quotient of the sampled studied sources was calculated to be in the range of 2 to 9 which signifies the vulnerable health risk due to non-carcinogenic effect due to Arsenic. The cancer risk assessment gives a further alarming picture of the area with 1-4 persons for every 1000 population in Basirhat-1 block are prone to Cancer risk due to Arsenic. The study recommends immediate measures in the area to make all the current drinking water sources Arsenic free.
Convolutional Neural Network Based Multimodal Biometric Human Authentication using Face, Palm Veins and Fingerprint
Authors:   Department of E&TC, Dr. D. Y. Patil Institute of Technology, Pimpri, Pune , India., Shende* Priti , Dandwate Yogesh H. ,   Department of E&TC, Vishwakarma Institute of Technology, Pune, India.
Published: January 2020

security access control systems and forensic applications. Performance of conventional unimodal biometric systems is generally suffered due to the noisy data, non universality and intolerable error rate. In propose system, multi layer Convolutional Neural Network (CNN) is applied to multimodal biometric human authentication using face, palm vein and fingerprints to increase the robustness of system. For the classification linear Support Vector Machine classifier is used. For the evaluation of system self developed face, palm vein and fingerprint database having 4,500 images are used. The performance of the system is evaluated on the basis of % recognition accuracy, and it shows significant improvement over the unimodal-biometric system and existing multimodal systems.
Soil Pollution Index (SPI) for an Area of 10 Km Radius from the Proposed Carbon Black Manufacturing Unit at Pudi Village, Rambilli Mandal, and Visakhapatnam District.
Authors:   PG Student, Department of Civil Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur, Andhra Pradesh, India., Madhulika* Koka Sai , Aravindan A ,   Professor, Department of Civil Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur, Andhra Pradesh, India., Alisha MD Ahmed ,   Environment Manager(M.Sc Env Science), Sri Sai Manasa Nature Tech Pvt.Ltd, Hyderabad, Telangana, India.
Published: January 2020

The soil is a natural body composed of different layers of mineral constituents of varying thicknesses, which differ from their parent materials on the basis of morphological, physical, chemical and mineralogical characteristics. Soil which consists of broken rock particles that have been altered by chemical processes. It varies from its parent rock due to interactions between all the lithosphere, hydrosphere, atmosphere and biosphere, it is a mixture of mineral & organic constituents that are solid, gaseous and aqueous. Soil that is loosely packed, forming a soil structure filled with pore spaces.Soil is used in agriculture where it serves as the primary plant nutrient base but is shown to be hydrophonic and not essential for plant growth if the nutrients contained in the soil could be dissolved in solution.. This types of soils used in agriculture vary with respect to the species of plants that are cultivated.