bluuebunny/crossref_metadata_2025 huggingface dataset:
A State-of-The-Art on Power Quality Enhancement Techniques: Present Scenario and Future Challenges
Authors:   Department of Electrical Engineering, Pandit Deendayal Petroleum University, Raisan, Gandhinagar 382007, Gujarat, India., Jain* Alok , Verma M.K. ,   Department of Electrical Engineering, Indian Institute of Technology (BHU), Varanasi 221005, Uttar Pradesh, India.
Published: October 2019

Supplying quality power to consumers have been of great concern for power researchers and utilities since last few decades. Power quality issues include voltage sag/swell mitigation, harmonics reduction, load balancing, voltage flicker elimination, and fault current limiting. Various control strategies have been suggested in the literature for power quality improvement. Custom power devices are quite useful in power quality enhancement. Research on power quality enhancement has mostly concentrated on offline studies. Efforts are required to be made in power quality enhancement of real-time systems. In this paper, a survey has been presented on power quality enhancement techniques in the present scenario. The article also suggests an investigation of the role of smart metering and Phasor Measurement Units (PMUs) for power quality enhancement of real-time systems in intelligent grid architecture.
Cuckoo Search Algorithm for Test Case Prioritization in Regression Testing
Authors:   Computer Science Department, H. P. University, Shimla – 171005, H. P., India, Dhareula* Priyanka , Ganpati Anita ,   Computer Science Department, H. P. University, Shimla – 171005, H. P., India
Published: October 2019

There are countless optimization problems that have been accelerated by Nature Inspired Metaheuristic Optimization Algorithms (NIMOA) in the earlier decades. NIMOA have gained huge popularity owing to their effective results. In this study NIMOA namely, Cuckoo Search Algorithm (CSA) is used to prioritize (order) the test cases for Regression Testing (RT). Prioritizations aids in the execution of higher priority test cases to give early fault detection. This research adopts the aggressive approach of reproduction made by Cuckoos to prioritize the test cases for RT. Average Percentage of Fault Detected (APFD) metrics is used in this paper for validations of results. APFD metrics is used to compare the performance of CSA with Flower Pollination Algorithm (FPA) and traditional approaches for Test Case Prioritization (TCP). Two java applications are used for the study. CSA is implemented in Java on eclipse platform. It is learnt from the study that APFD results of CSA outperformed the FPA for both the applications namely Puzzle Game and AreaandPerimeter. It is inferred from the results that prioritized set of test cases given by NIMOA outperformed the APFD results of traditional approaches and also CSA performed better than the FPA for TCP.
Role of Digital Economy in Creating Innovative Environment
Authors:   Professor, Department of Innovative Economics, Finance and Project Management, Moscow Aviation Institute (National Research University), Anatolievna* Burdina Anna , Yurievna Nikolenko Tatiana ,   associate professor, Department of Innovative Economics, Finance and Project Management, Moscow Aviation Institute (National Research University), Viktorovna Semina Lidiya ,   Senior Lecturer Department of Innovative Economics, Finance and Project Management Moscow Aviation Institute (National Research University)
Published: October 2019

The topicality of the research topic lies in the fact that digital technologies nowadays are actively tapping into all spheres of activity, influencing the processes taking place in the economy. The development of the digital economy is characterized by large-scale use of the latest information technologies and databases, which contributes to the formation of the country's innovative potential, providing the necessary conditions and infrastructure for the mainstreaming of high-tech enterprises. Due to the fact that the digital economy is closely related to ensuring the country's competitiveness, increased attention from the state is required to introduce the possibilities of using information technologies in practical activities related to financing priority investment projects and justifying their effectiveness. The role of the development of the digital economy, the conditions for the formation of the innovation environment have been considered in the article, the importance of the availability of information in assessing the feasibility of investing in innovation has been substantiated. A practical example of an erroneous analysis of the effectiveness of innovative projects in the face of the inaccessibility of reliable information and the significant impact of subjective assessments has been given.
Diabetes prediction using Data mining Classification Techniques
Authors:   School of Computer Science and Applications, REVA University, Bangalore, India., M* Manjusree , Kumar K.A . Sateesh ,   Subject Matter Expert, Merittrac Pvt. Ltd, Bangalore, India.
Published: October 2019

Diabetes is one of the second largest disease in the world. In the recent survey it shows that there are overall 246 million people affected with this and in that women ratio is more. By the report of WHO, this figure is going to reach to 380 million by 2025. According to the American Diabetes Association,6% of the population are not aware that there are victims of diabetes and also every 21 sec at least for an individual diabetic test result is positive. With the technology advancement in the field of medical information, data is well maintained in the databases. This paper focuses on to diagnose data to provide the solution by observing the patterns in the data using various datamining classification techniques such as Naïve basis, Logistic regression, Decision tress etc.
An Improved Hybrid Stacked Classifier for Multi Label Text Categorization
Authors:   School of Computer Science and Applications, REVA University, Bangalore, India., Lakshmi P.Sree , Kavitha  ,   School of Computer Science and Applications, REVA University, Bangalore, India.
Published: October 2019

Nowadays, the applications of multi label classification are increasing very rapidly with the growth of information technology. One among it is, multi label text categorization which deals with the automatic categorization of documents or comments posted in a social site. Because of the exponential growth of digitization of unstructured categorical data, there is an emerging need for text categorization in particular with multiple labels. Conventionally, it has been solved by either transforming the problem into single class or extending the existing classifiers. An improved hybrid stacked classifier has been proposed to address the challenges in multiple label assignment for text document. The model has been built with three classifiers stacked together with Label Power set by taking class probabilities and a Meta classifier. The experimental results show that the proposed method outperforms well than the existing methods.
A Robust Blind Image Forensic-Detection Method Based On Fuzzy Technique
Authors:   School of CSA, REVA University, Bangalore, India, Thirunavukkarasu* Dr.V. , Kumar Dr.J.Satheesh ,   Department of Computer Applications, Bharathiar University, Coimbatore, India.
Published: October 2019

Blind forensic-investigation in a digital image is a new research direction in image security. It aims to discover the altered image content without any embedded security scheme. Block and key point based methods are the two dispensation options in blind image forensic investigation. Both the techniques exhibit the best performance to reveal the tampered image. The success of these methods is limited due to computational complexity and detection accuracy against various image distortions and geometric transformation operations. This article introduces different blind image tampering methods and introduces a robust image forensic investigation method to determine the copy-move tampered image by means of fuzzy logic approach. Empirical outcomes facilitate that the projected scheme effectively classifies copy-move type of forensic images as well as blurred tampered image. Overall detection accuracy of this method is high over the existing methods.
Work Life Balance on Family Related Variables Vs Work Related Variables at Select It Companies at Hyderabad
Authors:   Research Scholar, Gitam Hyderabad Business School, GITAM (Deemed to be University), Hyderabad, Vidadala* Balaji , Radhika Dr. Raavi ,   Associate Professor, Faculty of Management, Gitam Hyderabad Business School, GITAM (Deemed to be University)Hyderabad
Published: October 2019

Dependability maintenance in work just as family life is a test for representatives. This paper on Work Life Balance gives a system on the significance and significance of WLB in present situation. It illuminates the impacts of poor WLB consequences for the once life. Likewise sees on WLB by both the association and the workers are featured in this paper. This pays route for the reader to have a top to bottom learning about the significance of adjusting one's work life and individual life.
Professional Stress among Junior Commissioned Officers and Non Commissioned Officers of Indian Military Intelligence
Authors:   Research Scholar, Annamalai University, Chidambaram, India, Saravanan* P. , Panchanatham Dr. N. ,   Professor, Annamalai University, Chidambaram, India, Jeyakumaran Dr. M. ,   Dean & Professor, Francis Xavier Engineering College, Tirunelveli, India
Published: October 2019

The present study focuses on the professional stress on work places among the Junior Commissioned Officers (JCOs) and Non-Commissioned Officers (NCOs) of Military Intelligence of Indian Army. 384 samples of Military Intelligence personnel will be taken for this study. Sources of data is Primary data include a structured questionnaire. Data was collected through structured questionnaire and measure through Likert’s scale, using Kaiser- Meyer-Olkin measure of sampling adequacy, Cronbach’s alpha for checking internal consistency, Bartlett sphericity test for testing the null hypothesis and various factor analysis including Eigenvalues, Extract square Sum loading, variance percent and Accumulation percent values relative comparison and Correlation matrix will be used as tools to arrive at desired results and statistical interpretations. The hypotheses put for test and the resultant values at 0.01 and 0.05 (for different factors) clearly indicated that there is an existence of association between different level of cadres and professional stress among personnel of Indian Military Intelligence. The authority who can formulate the rules and regulations and binding them on the lower cadres and professions to accept and adopt.
An Effective Preprocessing Algorithm for Information Retrieval System
Authors:   Dept of Computer Science Arni University, India Sant Baba Bhag Singh University, India, Sunita*  , Rana Vijay ,   Dept of Computer Science, Arni University, India Sant Baba Bhag Singh University, India
Published: October 2019

The innovation of web produced a huge of information, evaluates by empowering Internet users to post their assessments, remarks, and audits on the web. Preprocessing helps to understand a user query in the Information Retrieval (IR) system. IR acts as the container to representation, seeking and access information that relates to a user search string. The information is present in natural language by using some words; it’s not structured format, and sometimes that word often ambiguous. One of the major challenges determines in current web search vocabulary mismatch problem during the preprocessing. In an IR system determine a drawback in web search; the search query string is that the relationships between the query expressions and the expanded terms are limited. The query expressions relate to search term fetching information from the IR. The expanded terms by adding those terms that is most similar to the words of the search string. In this manuscript, we mainly focus on behind user’s search string on the web. We identify the best features within this context for term selection in supervised learning based model. In this proposed system the main focus of preprocessing techniques like Tokenization, Stemming, spell check, find dissimilar words and discover the keywords from the user query because provide better results for the user.
Fuel efficiency optimization Techniques in Hybrid Vehicle
Authors:   Electrical Engineering, United College of Engineering and Research, Allahabad, India., Srivastava* Swapnil , Maurya Dr. Sanjay ,   Electrical Engineering, GLA University, Mathura, India.
Published: October 2019

The hybrid electric vehicle (HEV) has the potential of sufficing drive needs with better fuel efficiency. The complex nature of hybrid vehicle provides multiple opportunities for obtaining better fuel efficiency. The mathematical modeling is a necessity for understanding the behavior of HEV. The fuel efficiency is obtained through various means including the design of energy management system, component sizing, emission control, and other methods. In the present paper, a mathematical model of HEV is presented for a parallel HEV with a review of various methods used for fuel efficiency optimization.
Awareness Questionnaire on Massive Open Online Course (MOOCs): A Tool Construction and Standardization
Authors:   Ph.D Research Scholar, Department of Education, Central University of Kerala,Tejaswini Hills, Periye, Kasargod, C* Vijila , Thiyagu Dr. K. ,   Assistant Professor, Department of Education, Central University of Kerala, Tejaswini Hills, Periye, Kasargod
Published: October 2019

In the present study, the test items were administrated to the Post Graduate students for standardize the MOOCs awareness questionnaire. This preliminary draft questionnaire consists of 50 questions. The sample of the study was 370 Post Graduate Students, were randomly selected. The‘t’ test is used to standardize the tool and finally 43 multiple- choice questions were retained after pilot study. Cronbach’s Alpha value after the item analysis is .820. This tool should be useful to measure the MOOCs awareness. This article describes a tool construction and standardization procedure of Massive Open Online Course (MOOCs) awareness questionnaire.
Diagnosis of Leaf Disease in Cucurbita Gourd Family using Machine Learning Algorithms
Authors:   Assistant Professor, Department of ECE, M. Kumarasamy College of Engineering, Karur, India., Nirmala* V. , Gomathy B. ,   Associate Professor, Department of CSE, Bannari Amman Institute of Technology, Sathyamangalam, Tamilnadu, India.
Published: October 2019

PaperThe paper presents the implementation of various machines learning approach for the diagnosis of leaf diseases. For analysis data collection were done towards capturing the images of pumpkin leaf affected by different diseases. The pumpkin leaf samples were taken. The samples correspond to the blight and fungal problems like Alternaria, Powdery Mildew Anthracnose, and Yellow Vine Disease etc. The methods for analysis were implemented and tested which are based on time, frequency and statistical approach. For classification machine learning approaches like neural networks, SVM, KNN etc were analyzed. The implementation issues were presented for future work.
Effect of ATIG Welding Process Factors on the Wear Behavior of AISI 316L
Authors:   Department of Mechanical Engineering, Karpagam Academy of Higher Education, Coimbatore - 641021, India., Sivanantham* A. , Manivannan S. ,   Department of Mechanical Engineering, Karpagam Academy of Higher Education, Coimbatore - 641021, India., Shanmughasundaram *P. ,   Department of Automobile Engineering, Karpagam Academy of Higher Education, Coimbatore - 641021, India.
Published: October 2019

In this study, Activated Tungsten Inert Gas welding (A-TIGW) operation factors welding current, speed and argon gas flow rate (AGFR) were optimized in order to attain the enhanced wear resistance of weldment which is obtained by welding of AISI 316L austenite stainless steel. The levels of welding factors were optimized using Taguchi method. Contribution of welding factors on the wear resistance was determined by using ANOVA technique. Dry sliding wear resistance of weld joint against EN-8 steel was studied employing wear test rig at constant load, sliding velocity and sliding duration at room temperature. The results of the experiments illustrated that as the welding current and speed raises, the wear of the welded joint tends to drop. Experimental results showed that welding factors have to be investigated suitably to attain the enhanced wear resistance.
Identifying and Improving the Malicious Behavior of Rushing and Blackhole Attacks using Proposed IDSAODV Protocol
Authors:   Ph.D. Research Scholar, Dept. of CSE, ASET, Amity University Haryana, India, Ranchhodbhai* Ms Patel Nilamkumari , Tripathi Dr. Khushboo ,   department, Assistant Professor, Dept. of CSE, ASET, Amity University Haryana, India
Published: October 2019

Wireless Ad hoc Network is established by a collection of mobile nodes without any fixed infrastructure, where each node plays a role of the router. There are not any centralize control to handle the routing process of network, due to the dynamic tropology and infrastructure less network the network is vulnerable to various kinds of attacks. Therefore, numerous proactive, reactive and hybrid routing protocols have been recommended, among which one of the well-known a protocol is AODV due to its high-performance gain. This research work contributes towards mitigating network layer attacks on routing protocols in Wireless Ad hoc Networks. Problem and it's security issues because its consequences and existing mechanisms for detection and prevention with the context of AODV protocol is a challenge in Wireless Ad hoc Network, particularly in MANET and Sensor network. We present an AODV based secure routing algorithm for detection and prevention of different network layer attacks such as blackhole and rushing attacks. We use different types of security parameters like node sequence numbers, hop count, trust value, path value, acknowledge time, the threshold value and ALERT packet message to design a secure algorithm for AODV routing protocol. It shows enactment evaluation of AODV with the enhanced secure routing algorithm and existing routing algorithm through simulations which will confirm the effectiveness and accuracy of the algorithm by considering performance metrics like throughput, packet delivery ratio and end to end delay. Using network simulator NS-2.35 the experimental results have been shown an improvement in throughput, packet delivery ratio (PDR), and end to end delay using IDSAODV and results are compared with normal AODV routing protocol for blackhole and rushing attacks. The comparative results have been also shown with proposed IDSAODV and existing method.
Optimization of milling parameters of ASTM a 995 grade 4A Duplex Stainless Steel using Taguchi Technique
Authors:   Department of Mechanical Engineering, Karunya Institute of Technology and Sciences, Coimbatore - 641114, India., Selvaraj* D. Philip , Chandramohan P. ,   Department of Mechanical Engineering, Sri Ramakrishna Engineering College, Coimbatore - 641022, India., Rajesh P. K. ,   Department of Automobile Engineering, PSG College of Technology, Coimbatore - 641004, India.
Published: October 2019

This work explains the optimization of milling variables of duplex stainless steel by employing Taguchi technique. The milling tests are carried out at three levels of feeds and spindle speeds. The average of results and ANOVA are employed to investigate the machining performances. The results exposed that the feed and spindle speed are the most important variables influencing the cutting force and surface finish. It is determined that, the spindle speed is the most important variable influencing the tool wear. Confirmation tests are conducted at optimum machining conditions in order to verify the predicted results and the error is within 5%.
Experimental Characterization of Tensairity Beams
Authors:   The University of Danang - University of Science and Technology, 54 Nguyen Luong Bang Street, Danang, Vietnam., NGUYEN* Quang Tung
Published: October 2019

Tensairity is a new structural concept towards a sustainable architecture, combined from struts, cables, and an airbeam. In Tensairity, each bearing component is working in the most favorable conditions: struts are only compressed, cables are only tensioned and the airbeam stabilizes the system. Thus, Tensairity beam will be much lighter than a conventional beam. The bearing capacity of this type of beam depends not only on the material property but also on the inflation pressure in the airbeam and the tension in the cable. And this tension strongly depends on the cable anchoring method. This paper presents an experimental investigation aimed to the bending of a Tensairity beam submitted to a homogeneous distributed load. Prototypes in full-scale tests of Tensairity beams will be manufactured. Effect of inflation pressure, airbeam size, and cable anchoring method to structural stiffness will be studied experimentally. The obtained experimental results are in high agreement with those of an independent theory.
A 13-Level Asymmetrical Cascaded Inverter for Photovoltaic System With DC-DC Flyback Converter
Authors:   department of EEE, Easwari Engineering College (Autonomous),Chennai, India., Gowrishankar* J. , Farzana* D. Fathema ,   department of EEE, Easwari Engineering College (Autonomous), Chennai, India., Kaliappan* E. ,   department of EEE, Easwari Engineering College (Autonomous), Chennai, India., Balasundaram* G. ,   department of EEE, SVCET (Autonomous),Chittoor, India., Edward J. Belwin ,   department of EEE, SELECT, VIT University, Vellore, India.
Published: October 2019

In recent days, multilevel inverter has widely been used for high power application. This may be due to the reduction of total harmonic distortion (THD) of the output voltage level and having low blocking voltages of switches. In the existing system, DC voltage source which is maintained constant is given as the input to the inverters which contains the series connection of fundamental block and is analyzed in symmetric and asymmetric mode of operation to produce various voltage levels. The proposed approach replaces the DC voltage source to the Photovoltaic (PV) cell has been used which has variations in the output voltage side depends on the solar irradiation level. This Photovoltaic cell uses Maximum Power Point Tracking (MPPT) algorithm to produce required voltage. As the input to the multilevel inverter (MLI) has to be maintained constant a fly back forward converter has been used in between the Photovoltaic cell and the multilevel inverter, so that the required multiple constant output voltage has been obtained on the output of the converter. Using the output of the converter 13 output voltage levels can be obtained from the multilevel inverter. The performance of the proposed system is verified by simulation through MATLAB/Simulink environment
The ‘sound’ contribution of India to the world
Authors:   Assistant Professor of English GITAM Deemed to be University, Visakhapatnam. Andhra Pradesh, India, Babu* Dr, Ramanadham Ramesh , Reddy Dr, P Sreenivasulu ,   Assistant Professor of English GITAM Deemed to be University,Visakhapatnam. Andhra Pradesh, India, Rao Dr, N.Srinivasa ,   Assistant Professor of English, GITAM Deemed to be University, Visakhapatnam. Andhra Pradesh, India
Published: October 2019

The potencies of sound and voice have nowhere else been so profoundly investigated as in India. For Sanskrit is the background ‘language consciousness’ of this land. It is not a mere language for expression or communication, but an expression of culture and soul. The science and technology of the sound and light were better understood by the seers and the saints in this land long ago. The subtle aspects of light and sound were experienced by them and they gave it to the humanity in the form of ‘vedas’ (Samaveda, Rigveda- the precious spiritual texts of India that speak about the significance and impact of sound and music on the souls). People have always believed in this land that one can experience immortality through music. In the recent history also, there have been singers that created miracles through music. This paper will discuss various dimensions of the sound and the invaluable contribution of India for the growth and the enrichment of language.
Use of Preprocessor with Frequency Amplitude Modulation Encoding (Fame) for Speech Quality Enhancement in Cochlear Implant to Aid Hearing Impairment
Authors:   Computer Science, Banasthali Vidyapith University, Jaipur, India., Gupta* Deepti , Mathur Pratistha ,   Information Technology, Manipal University Jaipur, Jaipur, India., Tewari Peeyush ,   Applied Science, Birla Institute of Technology, Noida, India.
Published: October 2019

Cochlear Implant is a powerful technical device that facilitates hearing sensation to aid hearing in deaf or partially deaf persons. In this paper a novel method of adopting a preprocessor and using its output for Frequency Amplitude Modulation Encoding (FAME) technique has been studied. This enables filtering of noise from speech before sending it to the electrodes of Cochlear Implant. Preprocessor with FAME gives better results when compared to other techniques which are used for noise removal from the speech for Cochlear Implant users. Also this technique gives a completely new and better speech perception to the Cochlear Implant (CI) users.
Fabrication and Properties of Aluminium Matrix Hybrid Nanocomposites by Stir Casting Technique
Authors:   Research Scholar, APJ Abdul Kalam Technical University, Lucknow, India,, Yadav* Rakesh Kumar , Hasan Zahir ,   Professor, Department of Mechanical Engineering, NSAKCET, Hyderabad, India,, Ansari Akhtar Husain ,   Professor, Department of Mechanical Engineering, Aligarh Muslim University, Aligarh, India
Published: October 2019

Regular materials like steel, brass, aluminum and so on will fall flat with no sign. Breaks commencement, spread will happens with in a limited ability to focus. Presently multi day to beat this issue, regular materials are supplanted by Aluminum Composite materials. The best alternative for aluminum composite materials is its unique ability to design the materials to provide necessary features. In this paper, classical simple techniques for manufacturing AMMCs with achievable characteristics are explored by dispersing silicon carbide micro and nano particles in the matrix. The matrix and the reinforcement material were chosen for aluminium (A356) and silicon carbide (micro and nano particles). Experiments carried out were a SiCmicro weight fraction for 10%, and a SiCmicro weight fraction varying for 1%, 2%, 3% and 4%. The result showed that the stir casting method was very successful in achieving uniform strengthening dispersion in the matrix. This was obvious by the improvement of properties of composites over the base metal. The increase in hardness, marginals decrease in electrical conductivity and marginal changes in relative density were shown to be aluminum hybrid nanocomposites
Implementing Zigbee-based Wireless Sensor Network in the Design of Water Quality Monitoring System
Authors:   Graduate Studies, College of Science and Computer Studies, De La Salle University- Dasmarinas, Dasmarinas City, Philippines., Dasig, Jr* Dr. Daniel D.
Published: October 2019

This study presents the design and development of a precision fishing technology utilized in water quality monitoring with phytoremediation system using a Zigbee-based Wireless Sensor Network. The system afforded a real-time water quality monitoring using multiple sensors spatially deployed. The sensor node implemented in the Wireless Sensor Network to perform data sensing utilities with the water quality parameters including the water temperature, pH level, water dissolved oxygen and the water level during high-tide and low-tide. During the development, a P89V51RD2 microcontroller, ZigBee module with IEEE 802.15.4 standard, and radio frequency (RF) transceiver were utilized. The developed precision fishing technology utilized the Internet of Things architecture. The IoT device layer includes the temperature sensor, pH sensor, dissolved oxygen sensor, and the water level sensor. Phytoremediation was also used as an alternative solution for soil and water remediation. Further studies using recent and advanced remote sensing technologies and IoT-based solutions can be developed to address issues in the primary sector of the economy.
Cost Economics of Geocell Reinforced Flexible Pavements on Soft Soils by using Kenpave Software
Authors:   Dept. of Civil Engineering, ANITS(A), Visakhapatnam, India., Teja* Mr. T V Viswa , Vineel* Mr. Ch ,   Dept. of Civil Engineering, ANITS(A), Visakhapatnam, India., Kumari* Ms. D Mani ,   IV Year Student, Civil Engineering, ANITS(A), Visakhapatnam, India,
Published: October 2019

The improvement of any nation depends on accessibility and interconnectivity to distinctive places via well connected transportation network. Road transportation is the most adaptable mode of transport under various prerequisites of topography and therefore top priority is given to enhance avenue transportation amenities all through the world by allocating large capital investments. About 40% of total land in India is blanketed by clayey soils and inevitably the roads have to pass via such sub grades. Generally, flexible pavements are favored to rigid pavements due to less preliminary cost, smooth driving surface and convenient maintenance. The design pavement thickness over clay sub grades is large due to their low soaked CBR values and so the execution cost is high. In spite of imparting large pavement thickness, common debacles noticeable in flexible pavements over clayey soils are immoderate rutting, wavy surface, longitudinal cracking alongside wheel track and shear failure in edge region. Further, expansive clays pose serious issues to construction of pavements due to their shrink-swell behaviour with moisture fluctuations and also make pavement construction steeply-priced due to their very low strength in saturated condition ensuing from swelling. Efforts are being made via researchers from time to time to enhance the strength and stability of the clay sub grades in regular and expansive soils in specific via stabilization, reinforcing, moisture manipulation and soil substitution techniques. The advent of geo synthetics has drawn the interest of motorway engineers to contemplate them for use in pavement development to enhance performance. Particularly, geo-synthetics like geogrids, geocells and geotextiles due to their multi-functional behaviour has been used in the control of reflection cracking in overlays, as separator- filter - drain at clay sub grades, as reinforcing factor in soft-soils. The current study focuses upon geocell strengthened flexible pavements over soft soils using KENPAVE software. The present study concludes to suggest Geocell strengthened sub-base flexible pavements in which a decrease of the pavement section by approximately 13%.
Prediction of Esophagitis and Z-Line from Wireless Capsule Endoscopy images using Fusion of low-level features
Authors:   Department of Computer and Information Science, Annamalai University, Chidambaram, India., Ponnusamy R. , Sathiamoorthy* S. ,   Tamil Virtual Academy, Chennai, India.
Published: October 2019

Wireless endoscopy capsule (WCE) pictures areoften used to recognize digestive tract illnesses as they enable immediate GI tract perception. In any case, it requires a clinician's long-lasting review because of an incredible number of pictures delivered by the system. In this manner, it might be valuable to devise an Automatic detection framework to enable clinicians to distinguish abnormal pictures. In this work, it is endeavour to plan an electronic plan intending to distinguish esophagitis in WCE pictures. The Esophagitis in WCE pictures show extraordinary variations in appearance. Scale-Invariant Feature Transform (SIFT) and Auto Color Correlogram (ACC) are two features that are used to coordinate the texture, color and shape characteristics collected from points of interest. Using Naïve Bayes, Support Vector Machine (SVM) and Random Forest, we assessed the performance with comprehensive tests on our current picture information consisting of 100 normal-z-line WCE pictures and 100 esophagitis. From the experimental analysis, it is promising to use the proposed plan to distinguish esophagitis and normal-z-line from WCE pictures.
Features of Regulating Credit Institutions: Mechanisms and Technologies
Authors:   Russian State Social University (RSSU), Moscow, Russian Federation., Burova* Inna Leonidovna , Zhesterov Pavel Valerievich ,   Russian State Social University (RSSU), Moscow, Russian Federation., Zolotareva Alla Efratovna ,   Russian State Social University (RSSU), Moscow, Russian Federation.
Published: October 2019

The study was aimed at introducing to the executives of banks and other credit institutions the shared technology and the patterns of bringing the persons controlling the credit institution to subsidiary liability. For achieving these goals, the authors analyzed the cases of bankruptcy of banks in the Russian Federation, in particular, the rules of procedure for taking interim measures if the persons controlling a credit institution are brought to subsidiary liability. In this publication, the judicial practice has been reviewed for the past two years since the entry into force of legislative changes. Practical advice is given, along with routines of the applicants` rights protection in such cases. All of this will not only improve the efficiency of bankruptcy procedures of a bank but will also develop mechanisms of corporate governance in the banking sector toward increased personal responsibility of management decisions makers and those controlling credit institution. The results have been as follows: the authors highlight the shortcomings of the Russian procedural legislation concerning the interim measures taken by courts in banking bankruptcy cases. The identified problems can be solved by amending the national procedural legislation or by adopting special explanations by the Supreme Court of the Russian Federation.
Classroom Student Emotions Classification from Facial Expressions and Speech Signals using Deep Learning
Authors:   Department of Computer Science, Government M.A.M College, Cluster University of Jammu, Jammu, India., Sharma* Dr. Archana , Mansotra Dr. Vibhakar ,   Department of Computer Science and IT, University of Jammu, Jammu, India.
Published: October 2019

Classroom environment is a competent platform for the students to learn and improve their understanding of the subject. An instructor’s primary responsibility lies in managing the students in a way they feel interested and focused during the class. With the aid of automated systems based on artificial intelligence, an instructor can get feedback on the students’ attention span in the class by monitoring their emotions using learning algorithms that can prove to be effective to improve the teaching style of the instructor that can in turn have positive effects on the class. In this paper, we propose an LSTM recurrent neural network trained on an emotional corpus database to extract the speech features and convolutional neural networks trained on the FER2013 facial emotion recognition database were used to predict the speech and facial emotions of the students respectively, in real-time. The live video and audio sequence of the students captured is fed to the learned model to classify the emotions individually. Once the emotions such as anger, sadness, happiness, surprise, fear, disgust and neutral were identified, a decision-making mechanism was used to analyze the predicted emotions and choose the overall group emotion by virtue of the highest peak value achieved. This research approach has the potential to be deployed in video conferences, online classes etc. This implementation proposal should effectively improve the classification accuracy and the relatability of the detected student emotions and facilitate in the design of sophisticated automated learning systems that can be a valuable tool in evaluating both the students and the instructors. The adapted research methodologies and their results are discussed and found to perform suggestively better than the other research works used in the comparison.
A Novel Method to Evaluate Students Sentiments from Twitter Messages
Authors:   Department of Computer Science, Government M.A.M College, Cluster University of Jammu, Jammu, India., Sharma* Dr. Archana , Mansotra Dr. Vibhakar ,   Department of Computer Science and IT, University of Jammu, Jammu, India.
Published: October 2019

Classroom education is a dynamic environment, which brings students from different backgrounds with diverse abilities. By introducing machine-learning algorithms to learn the sentiments of the students in a classroom-based environment, can provide us a better research tool to understand the student psychology behind their attentiveness as well as the impact the instructor has on them while delivering lectures. Emotions can be analyzed mainly through many ways like facial features, audio signals and text messages. In this study, we have proposed a student emotion classifying mechanism that works after the lecture by analyzing the tweets posted by the students in the social media platform, Twitter to study their sentiments, or thoughts as expressed in the department twitter handle as a feedback to the classroom lecture. Students can post a tweet to their respective department’s twitter handle about their opinions, emotions, suggestion. Our application has been designed to monitor the department’s handle, a unique user-id via twitter API handler and when any posts appear, collects it and predicts the emotion. A hybrid-based approach which contains lexical and learning based approaches will be used to handle the twitter-based data and to predict the emotions of a student. A lexicon dictionary will be used in lexical based approach and for learning based approach, a manually customized dataset was used, and a support vector machine was designed to train the datasets and classify the emotions. The use-case of this application can be ideal for colleges, companies and wherever anyone wants to ease up the process of analyzing the feedback, suggestions or complaints from the students or employees, thereby saving considerable manpower and time. Our proposal is expected to garner good results and improved prediction time and accuracy.
A Varying Processor Cache Sets Architecture
Authors:   Department of IT, School of Information Technology and Engineering, Vellore Institute of Technology, Velloe, T.Nadu, India., Subha* S
Published: October 2019

Any processor cache has three parameters capacity, line size and associativity. Usually all three are fixed at design time. Algorithms to have variable cache sets are proposed in literature. This paper proposes a method to have variable cache sets logically. The cache comes with fixed sets. The cache is visualized to have logically any number of sets greater than or equal to one. An algorithm for line placement/replacement is proposed in this paper for this model. The proposed model is simulated with SPEC2K benchmarks using Simplescalar Toolkit for two level inclusive set associative cache system. A power saving of 8.4% for L1 cache size 512x4, 17.58% for 1024x4 and 31.3% for 2048x4 is observed compared with traditional set associative cache of same size. A power saving of 7.53% compared with model proposed in literature for L1 size 512x4, 7.64% for 1024x4 and 7.645% for 2048x4 is observed. The L2 cache size is fixed at 2048x8. The average memory access time (AMAT) is found to degrade compared with conventional set associative cache by 19.63% for L1 size of 512x4, 24.68% for 1024x4 and 2048x4. (Abstract)
Concept-Drift Based Identification of Suspicious Activity at Specific IP Addresses using Machine Learning
Authors:   Assoc. Professor, Dept. of Computer Science and Engineering, Visvodaya Engineering College, Kavali, AP, India., Rajeswari* PVN , Shashi Dr. M. ,   Professor, Dept. of Computer Science and System Engineering., Andhra University, Visakhapatnam, AP, India.
Published: October 2019

Network Intrusion detection systems(IDS), especially those that monitor Denial of Service(DoS) attack, aim at monitoring the network traffic continuously in order to identify suspicious activity possibly initiated at one or more nodes at specific IP addresses. Traditional anomaly detection based IDS methods rely on preset bounds on the magnitude of network traffic based on statistical measures and hence are not programmable based on the changes in the network traffic dynamics. The authors proposed a methodology for monitoring the changes in the network traffic received from individual source nodes based on concept drift in order to identify suspicious activity at specific nodes. The framework applies machine learning techniques to capture the normal traffic patterns of various source nodes and accordingly defines lower and upper bounds dynamically for each node. Based on the temporal analysis in successive time windows, it is able to discriminate an abrupt change from a gradual change in the magnitude of traffic received in a time window from a node to identify suspicious activity at the corresponding IP address. The effectiveness of the methodology is tested on real world data.
Design and Analysis of Boost DC-DC Converter with PI Controller
Authors:   Department of Electrical and Electronics Engineering, Vels Institute of Science, Technology and Advanced Studies, Chennai, India., Sasikala* K. , Kumar R. Krishna ,   Department of Electrical and Electronics Engineering, Vels Institute of Science, Technology and Advanced Studies, Chennai, India.
Published: October 2019

This paper covenants owing to the working of PI Controller fed Boost converter. As PI controller removes the delay and offers quick control, it is preferred in this paper. Out of many controllers which provide effective output, PI is chosen which eliminates the necessity for constant operator attention and instinctive control to the system. In the PI Controller, the gains Kp and Ki are calculated by Ziegler and Nichols method. This PI Controller is used as the effective controller for the Boost Converter. In this converter the output voltage is stepped up (increased) for the given input voltage. The PWM Signal generator is used for commutation purpose in the proposed circuit. The Boost converter maintains a constant voltage at the output.
Performance Analysis of Data Encryption Algorithm
Authors:   Department of Computer Engineering, Mukesh Patel School of Technology Management and Engineering, NMIMS University, Mumbai, India., Churi* Prathamesh
Published: October 2019

In this paper, author have performed experimental analysis of Jumbling-Salting (JS) algorithm for larger text size. In the earlier research work, JS Algorithm was symmetric-password encryption algorithm. JS algorithm consists of two prominent cryptographic processes namely Jumbling and Salting. Jumbling consists of three major randomized processes viz. Addition, Selection and Reverse. Jumbling process jumbles the random characters into password string. Salting process adds a random string based on some timestamp value. The output of Jumbling and Salting process is given to predefined AES block to perform 128-bit key encryption to maintain the cipher text size uniform. In this research, the capability of JS algorithm is enhanced. The paper therefore shows the performance of JS algorithm regarding length of cipher text size with respect to AES and DES algorithms. This extended research ensures that JS algorithm is not only suitable for smaller text like password, pin, passcode etc. but it is also favorable for larger texts.
Optimization of Various Natural Ester Oils Impregnated Nomex Paper Performance in Power Transformer Applications under Different Ageing Conditions
Authors:   Department of Electrical and Electronics Engineering, National Engineering College, Kovilpatti. Tamilnadu, India., Kumar* S.Senthil , Moshi A. Arul Marcel ,   Department of Mechanical Engineering, National Engineering College, Kovilpatti, Tamilnadu, India., Bharathi S.R.Sundara ,   Department of Mechanical Engineering, National Engineering College, Kovilpatti, Tamilnadu, India., Kumar K.Karthik ,   Department of Electrical and Electronics Engineering, National Engineering College, Kovilpatti. Tamilnadu, India.
Published: October 2019

Vegetable oils are being considered as the potential replacements to mineral oils because of their better natural execution and for their high fire point. In spite of the fact that these fluids have been utilized as a part of appropriation transformers, it is as yet a huge advance to receive vegetable oils in control transformer because of high cost and abnormal state of well being and unwavering quality required in benefit for these units. Vegetable oils such as honge oil (HO), neem oil (NO), mustard oil (MO), punna oil (PO) and castor oil (CO) offer the reasonable option for mineral oil. It is expected that the greater part of the un-matured oil could fulfil the base necessity of dielectric protection fluids in the transformer. This paper concentrated on the impact of maturing on the electrical and physicochemical properties of HO, NO, MO, PO and CO. Fixed maturing tests have been set at 90°C for 30 days, 60 days and 90 days. Prior to the maturing procedure, the examples were dried in a vacuum broiler under the pressure of 0.8kPa at 85°C for 48 hours keeping in mind the end goal to evacuate the dampness content in the oils. At that point, the oils were impregnated with the Nomex paper and keep on ageing for choosing the span time. The electrical properties (relative permittivity, dielectric misfortunes, resistivity and breakdown quality), mechanical properties (thickness and elasticity) and substance properties (dampness and corrosiveness) of the oils were estimated all through the maturing time frames. It can be reasoned that the research center quickened warm maturing test uncovers that every single vegetable oil in this examination are safe towards oxidation in light of the steady thickness and low corrosiveness estimations of vegetable oils all through the maturing term even with the nearness of oxygen. The AC breakdown voltages of vegetable oils can in any case conform to the prescribed furthest reaches of new Vegetable oil set by ASTM 6781 even after subjected to maturing. From the results, it may be concluded that the proposed vegetable oils can be used as the alternatives for mineral oil.