bluuebunny/crossref_metadata_2025 huggingface dataset:
Reduction of Power Quality Issues in Micro-Grid using GA Tuned PI Controller Based DVR
Authors:   Research Scholar, Dept of EEE, Sathyabama University, Chennai, India, H.S Thaha. , Prakash Dr.T.Ruban Deva ,   Principal & Professor , Department of EEE, Heera College of Engineering and Technology, Nedumangad, Kerala, India
Published: August 2019

In the present energy scenario, one of major problems is with Power quality. Power quality came to more relevant, focused, with the addition of suitable equipment, where its behavior is very much important to the power supply quality. Power quality issue is a phenomenon noted as a not usual standard current, frequency or voltage which may results in a failure of sophiscated devices. The main issue focuses at the power swell & sag. In the paper, authors present a novel methodology for the prevention of voltage sag & swell. To rectify this issue, customized power equipments are adopted. Among them, Dynamic Voltage Restorer (DVR), the best as well as right advanced customized power equipment used in power distribution networks. The advantages include reduced price, low size, and its good transient response to the interferences. This work explain the MATLAB results of a Dynamic Voltage Restorer (DVR) modeling and analysis. Here, conventional controller like PI type and GA Tuned PI controller are used for comparison. In the offered method, PI controller parameters using GA Tuned implemented is being replaced by the traditional PI controller in order to develop the performance of the plant. The aim of the controller is made faster than conventional technique based controller. By MATLAB simulation tool, the performance can be studied.
Mining Software Repositories for Software Metrics (MSR-SM): Conceptual Framework
Authors:   Associate Professor, Department of Computer Science, Aligarh Muslim University, Aligarh, UP, India, Siddiqui Dr. Tamanna , Ahmad Ausaf ,   Research Scholar, Department of Computer Science, Aligarh Muslim University, Aligarh, UP, India.
Published: August 2019

A number of software metrics estimate the complexity of software program by a couple of substantial software attributes and trends. Metric for measuring the reliability is extraordinary among the presently available complexity metrics by contemplating a non-physical attributes i.e. readability. Readability may be a key quality attribute for managing software source codes. Readability of the source code is mainly concerned with code maintainability which is a significant characteristic of software quality, mainly from the developers’ perspective. As the code is readable, the easier it is to modify, lesser errors, copious maintainable, easy to reuse and even more reliable. Readability is employed to enhance source codes for subsequent maintenance and extensibility. But code readability is not simply computable while dealing with open source software as contributors access the code and modify its structure according to his/her style of coding. This nature of development begins problems for the new contributors to understand the code structure. To enhance code readability, In this paper, we proposed a conceptual model of mining software repositories for software metrics in which we proposed a set of metrics for readability of the code that is easier to use and helpful to understand the code structure. We also mention a mechanism to validate the proposed metrics by the data extracted from the mining software repositories and comparing it with a survey conducting from experts working in industries.
Changes in Financial Performance of Traditional Intermediatries for Financial Innovation
Authors:   Motilal Nehru College (Evening) , University of Delhi , New Delhi, kler Rajnish
Published: August 2019

The purpose of this thesis is to examine the impact of digital bank deposit, asset and loan growth on selected traditional bank performance measures. In order to estimate whether a causal relationship between digital bank measures and traditional bank performance exists, Granger causality method is selected as the main empirical model. In addition, to determine the direction and strength of said relationship, OLS regressions are performed. Research results lead to the conclusion that digital bank deposit and loan growth have a causal relationship to traditional bank performance ratios. Deposit growth has a negative impact on traditional bank performance ratios and loan growth shows both positive and negative impact on different ratios. This research demonstrates some of the challenges that traditional banks are facing in the age of innovation.
Tensile, Flexural and Surface Hardness Properties of Wool Grit/Silicone Polymer Composites
Authors:   Department of Mechanical Engineering, Malla Reddy Engineering College (Autonomous), Hyderabad, Telangana, India., Kumar T. Naresh , Aravindan M.K. ,   Department of Mechanical Engineering, School of Engineering and Technology, Jain (Deemed To Be University), Bangalore, Karnataka, India., Andrews A. Abraham Eben ,   Department of Mechanical Engineering, Hindustan Institute of Technology and Science, Chennai, Tamil Nadu 603103, India.
Published: August 2019

Grit fortified polymer Compounds obligate numerous tenders as a class of auxiliary ingredients as a result of the instance of manufacture, generally minimal effort of generation. The grit which fills in as a fortification in strengthened plastics might be engineered or regular. An examination has been completed to utilize Wool grit which is a characteristic grit copiously accessible in India. The target of the contemporary graft is to think about the impact of grit stacking and mechanical conduct of Wool grit fortified Silicone Polymer Compoundss. This paper demonstrates the assessment of elasticity, flexural quality and external rigidity of the Wool-Silicone Polymer Compounds. It likewise finishes up the impact of grit stacking on elasticity, flexural quality and external rigidity of the Wool Silicone Polymer Compounds.
A Novel Tweet Recommendation Framework for Twitter
Authors:   Department of Computer Science, Sri Guru Granth Sahib World University, Fatehgarh Sahib, Punjab, India., Kaur Kamaljit , Dhindsa Dr. Kanwalvir Singh ,   Department of CSE & IT, Baba Banda Singh Bahadar Engineering College, Fatehgarh Sahib, Punjab, India
Published: August 2019

In order to keep them updated users follow various Twitter accounts to get the latest information. As their social network increases it becomes challenging for them to find the relevant content from the massive collection of information. A Twitter user needs to scan a lot of less relevant posts to find the interesting tweets. Important updates may get lost if user is not able to read all the messages. So there is need that the most relevant updates are shown to the user first. Traditionally, the most retweeted tweets are considered popular and are brought forward. In order to improve the attractiveness of the incoming tweets we propose a personalized tweet ranking method based on the trending topics in the user network. A hashtag ranking model is developed to map the tweets into a ranked list of hashtags. The tweets corresponding to those hashtags are then ranked based on the linear weighted model that considers features related to tweet, author of tweet and the user. Finally, conducting a pilot user study we analyze the effectiveness of the proposed framework.
Test Case Generation for UML Behavioral Diagram by Traversal Algorithm
Authors:   CSE department, Amity University Haryana, Gurugram, India., Gupta Rashmi , Jaglan Vivek ,   CSE department, Amity University Haryana, Gurugram, India.
Published: August 2019

Software testing play crucial role in the software development as it consumes lot of time and resources. However testing process needs to be more efficiently done because overall software quality relies upon good testing approach. The present research focus on generation of test cases from UML diagrams. The combination graph is made by using activity and sequence diagrams. These diagrams proves to be more efficient as activity diagram gives the dynamic behavior of the model and sequence diagram is used to understand detailed functionality of the system. In this paper, a combined approach using Breadth first and depth first search is proposed which will generate expected test cases. The comparative study is done for test case generation using BFS and DFS algorithm and the result proves that the DFS traversal algorithm provides more accurate result for path coverage.
Smart Python Coding through Voice Recognition
Authors:   Information Technology Department, Sanjivani COE, Kopargaon & SPPU,Pune, Kopargaon, India., Jawale Dr. M. A. , Pawar Dr. A. B. ,   Computer Engineering Dept., Sanjivani COE, Kopargaon & SPPU,Pune, Kopargaon, India, Kyatanavar Dr.D.N. ,   Sanjivani COE, Kopargaon & SPPU, Pune, Kopargaon, India
Published: August 2019

In today’s world, many artificial intelligence applications developed using programming languages like Python, R and so on. Each language comes with its own programming structure and syntactical forms. Programmers are broadly classified into three categories namely, novice users, knowledge intermittent and expert one. For novice users, it is always a challenge to write a code without typographic errors though users know theoretical knowledge of Programming language, its structure and syntax as well as logic of program. Therefore, this paper explores use of voice recognition technique in the field of programming, specifically for writing program with Python programming language. In experimental analysis, it found helpful for new Python programmers and provide new learning curve for programmers wherein beginner can experience hassle free program writing. This paper adds new way of creating interest in beginners for judging their coding paradigm understanding and explore one of the area for user experience field for better programming Integrated Development Environment Development (IDE).
Evaluation of Mechanical Behavior of Hybrid Natural Fiber Reinforced Nano Sic Particles Composite using Hybrid Taguchi-Cocoso Method
Authors:   Department of Mechanical Engineering, Centre for Advanced Post Graduate Studies, BPUT, Rourkela, Odisha, India., Barua Abhishek , Jeet Siddharth ,   Department of Mechanical Engineering, Centre for Advanced Post Graduate Studies, BPUT, Rourkela, Odisha, India., Bagal Dilip Kumar ,   Department of Mechanical Engineering, Government College of Engineering Kalahandi, Bhawanipatna, Odisha, India., Satapathy Pratyashi ,   Department of Computer Science and Engineering, National Institute of Technology, Rourkela, Odisha, India., Agrawal Pulkit Kumar ,   Department of Mechanical Engineering, Government College of Engineering Kalahandi, Bhawanipatna, Odisha, India.
Published: August 2019

For this present research investigation, hybrid natural fiber reinforced Nano SiC particles composite was fabricated and their mechanical properties has been studied. Experiments have been planned as per Taguchi’s Method. After preparing the composite material by hand layup technique and then the mechanical characterizations are performed. Multi-response optimization has been carried out by employment of a recently developed method for multi-criteria decision making (MCDM), i.e. combined compromise solution (CoCoSo) method. For defining the relative significance of measured norms, pairwise comparison matrix was used. Optimal results have been verified through confirmatory experiments. Based on the experimental observations ultimate tensile strength (UTS), density and flexural strength, ANOVA result indicated that density has highest impact for a better mechanical behaviour. This can be useful in different field of application for fabrication of different structures, parts etc.
Portfolio Selection using DEA-COPRAS at Risk – Return Interface Based on NSE (India)
Authors:   Management studies, National Institute of Technology, Durgapur, India., Gupta Sayan , Bandyopadhyay Gautam ,   Management studies, National Institute of Technology, Durgapur, India., Bhattacharjee Malay ,   Management studies, National Institute of Technology, Durgapur, India., Biswas Sanjib ,   Management studies, Calcutta Business School, Kolkata, India.
Published: August 2019

Portfolio formation holds paramount importance in the process of the investment decision making since, a single door investment (SDI) option is much riskier than a multiple door investment (MDI) option. Among available financial instruments, the stock market (SM) has allured investors because of its liquidity and growth opportunities. However, the effectiveness of the investment decision is largely reflected in the selection of the constituent elements of the portfolio by an investor while trading off risk and return. In this paper, after an initial level selection of for formulating a possible portfolio by using Perceptual Map (PM), we have applied DEA to calculate the efficiency of the stocks at the risk-return interface based on the market performance. In order to ascertain that the stock selection is logical and worthwhile, we further probe the fundamental performances over a time period of five consecutive financial years using the method of Multi-Criteria Decision Analysis (MCDA) framework based on the Complex Proportional Assessment (COPRAS) method, where, the criteria weights are calculated by using the entropy method. A consistency is visible in the yearly fundamental performances and a significant pattern with regard to the portfolio selection.
Attendance Management System using Deep Learning and Facial Recognition Technique
Authors:   Department of Computer Engineering, BV(DU)COE, Pune, India., Saoji Prof. S.U. , kumar Dr. Naveen ,   Department of Computer Engineering, BV(DU)COE, Pune, India., Jayakumar  ,   Department of Computer Engineering, BV(DU)COE, Pune, Gupta Vaibhav ,   Department of Computer Engineering, BV(DU)COE, Pune, India., Agarwal Prakhar ,   Department of Computer Engineering, BV(DU)COE, Pune, India., astogi Parth ,   Department of Computer Engineering, BV(DU)COE, Pune, India.
Published: August 2019

Big data could be a term acclimated converse with the investigation and utilizations of data sets that are unreasonably entangled for conventional information handling application programming framework to sufficiently alter. AI is a use of (AI) that enables frameworks to precisely take in and improve from aptitude while not being explicitly customized. AI centers around the occasion of pc programs which will get to data and use it learn for themselves. The technique for learning starts with perceptions or data, similar to precedents, direct skill, or guidance, in order to appear for examples in data and manufacture higher decisions inside the future bolstered the models that square measure gave. One in everything about applications is programmed face acknowledgment bunch activity framework to a great extent used in Workplaces or gifted workspaces. ID or Verification done by catching an image of client's face through a camera that progressively stamps bunch activity. This propelled face acknowledgment bunch activity biometric framework enlists the particular and changeless facial fine purposes of staff and records them inside the data as stencils. When the enrollment strategy is finished, you just should investigate the camera to confirm your character and furthermore the programmed face acknowledgment bunch activity framework precisely denotes your gathering activity for your sake. Face acknowledgment bunch activity framework is a right innovation for overseeing bunch activity since it scarcely gives mistakes.
Development of Technology for High-Power Industry Converters
Authors:   Associate Professor, Department of EEE, S R Engineering College, Warangal, Rajababu D. , Sudhakar A.V.V. ,   Associate Professor, Department of EEE, S R Engineering College, Warangal, Sathyavani B. ,   Assistant Professor, Department of EEE, S R Engineering College, Warangal
Published: August 2019

The power stable of the converters is actually coming from some milliwatts (as in a cellphone) to dozens of megawatts in an HVDC gearbox body. Along with "classic" electronic devices, power streams, as well as current, are actually utilized to hold relevant information, whereas along with power electronic devices, they lug power. This inverter may magnify source of power like gas- mobiles, little wind turbines, as well as photo-voltaic assortments (i.e. it agrees with for circulated power treatments). The principles of resources and also changes are actually described and also categorized. Coming from the general regulations of resource propinquities, a universal procedure of power converter formation exists.
Markov Process in Varying Value in Production by Machinery with Two Components
Authors:   Vel Tech Hightech Dr.Rangarajan Dr.Sakunthala Engineering College, Chennai,India., Mohan C. , Selvaraju P. ,   Vel Tech Multitech Dr Rangarajan Dr Sakunthala Engineering College,Chennai, India,, Shanmugan S. ,   KL University,Vijayawada,AP.
Published: August 2019

In this paper production and availability of machinery for production are considered. Here a machinery of production with two components is considered and that production is full when the machinery is working with both the components functioning well. But there is a chance that the whole machinery may dysfunction because of failure of both components in which case the production comes to a standstill and it is worst crisis. The other possibility is that one of the components may fail but still the machine continues functioning but with less efficiency. The production may continue and if the other component also fails the production completely stops and the situation is critical. When the machine is in one component failure, the failed part may be a repaired and machine can be made to work with full efficiency. But when both components fail, should be renewed as a package and then the production should start. Under such conditions found the steady state probabilities and the rate of crisis and the expected cost of production.
Text Classification Using Ensemble Of Non-Linear Support Vector Machines
Authors:   Professor (Comp. Sc.), IMS Ghaziabad, India., Sharma Dr Sheelesh Kumar , Sharma Mr Navel Kishor ,   Associate Dean, Academic City College Ghana.
Published: August 2019

With the advent of digital era, billions of the documents generate every day that need to be managed, processed and classified. Enormous size of text data is available on world wide web and other sources. As a first step of managing this mammoth data is the classification of available documents in right categories. Supervised machine learning approaches try to solve the problem of document classification but working on large data sets of heterogeneous classes is a big challenge. Automatic tagging and classification of the text document is a useful task due to its many potential applications such as classifying emails into spam or non-spam categories, news articles into political, entertainment, stock market, sports news, etc. The paper proposes a novel approach for classifying the text into known classes using an ensemble of refined Support Vector Machines. The advantage of proposed technique is that it can considerably reduce the size of the training data by adopting dimensionality reduction as pre-training step. The proposed technique has been used on three bench-marked data sets namely CMU Dataset, 20 Newsgroups Dataset, and Classic Dataset. Experimental results show that proposed approach is more accurate and efficient as compared to other state-of-the-art methods.
Electrical Energy Audit –An Experience in a Small Scale Textile Mill
Authors:   Certified Energy Manager (BEE),Assistant Professor, Department of Electrical and Electronics Engineering, Karpagam Academy of Higher Education, Coimbatore, India, Nagaveni P. , Nivetha M. ,   Assistant Professor, Department of Electrical and Electronics Engineering, Karpagam Academy of Higher Education, Coimbatore, India, Ramkumar Dr.M.Siva ,   Assistant Professor, Department of Electrical and Electronics Engineering, Karpagam Academy of Higher Education, Coimbatore, India;, Amudha Dr.A. ,   Professor and HoD, Department of Electrical and Electronics Engineering, Karpagam Academy of Higher Education, Coimbatore, India;, Prasanna N. ,   Certified Energy Manager(BEE) ,Proprietor , Pranav Clean Energy Engineers, India.
Published: August 2019

Electrical Energy has become a one of the vital factor in deciding the total production cost and maintenance cost . Day by day, energy demand keeps rising in the industrial sectors because of this reason it is essential to reduce energy consumption for that energy conservation is must needed action. Energy Audit is the prime tool for finding the energy conservation oppourtunities. It helps us to make attempts to balance the total energy inputs with its use and serves to identify all the energy flow in a facility. Energy auditing will not only save money but it also improves the quality of electrical energy supply. Energy Conservation and Energy efficiency in industry has to be improved, this is the prime motive for Government of India. This paper shares the experiences of the authors on Electrical Energy Conservation Projects carried out in a Textile Industry situated in Tamilnadu State. We have used Load Manager for the observation of electrical datas during normal working load condition itself. These datas helps us to gain the electrical energy audting experience in the industry
Data Mining Based Outlier Cluster Detection Algorithm
Authors:   Student, Department of Computer Engineering, Sandip Institute of Technology and Research Centre, Maharashtra, India, Rane Ms. Sayali S. , Ghonge Prof .Mangesh M. ,   Professor, Department of Computer Engineering, Sandip Institute of Technology and Research Centre, Maharashtra, India, Potgantwar Dr. Amol ,   HOD,Department of Computer Engineering, Snadip Instituteof Technology and Research Centre, Maharashtra, India
Published: August 2019

Outlier detection has been engaged and considered field as of late. Exception recognition is a significant information mining movement with various applications, including MasterCard misrepresentation location, disclosure of crimes in electronic trade, video reconnaissance, climate forecast, and pharmaceutical re-search. The assignment of anomaly recognition is to distinguish the information objects from heaps of all objects. Outlier mining normally utilized in different fields. The vast majority of the strategies gives more regard for distinguish information objects from worldwide view which is in suitable for multidimensional information sets. According to technology, outlier recognition will be troublesome by utilizing conventional arrangements. In this, we are utilizing two calculations, for example, ODA and LOF. ODA used to locate the mean or exceptions from multi-dimensional informational indexes. LOF used to discover the likelihood of that anomalies utilizing thickness based calculations. Exception location is a significant undertaking in information mining. Nearby anomalies contrasting with their nearby neighborhood rather than worldwide information. Anomaly discovery is an essential assignment in information mining. Nearby exceptions contrasting with their neighborhood close articles rather than worldwide information dissemination. The procedure segmented into two phases, online and disconnected. Small scale groups are made in online stage and last bunches are produced in disconnected stage. Exception location is a significant assignment in information mining. Nearby exceptions contrasting with their neighborhood rather than worldwide information. Relative thickness of an item against its neighbors as the marker of the level of the article being anomaly which is allotted to nearby exception factor.
Metallic Surface Coating Defect Detection Using Firefly Based Adaptive Thresholding and Level Set Method
Authors:   Research Scholar, Department of Electronics and Communication Engineering, Noorul Islam Centre for Higher Education, Kumaracoil, India., Aslam Yasir , N Santhi ,   Associate Professor, Department of Electronics and Communication Engineering, Noorul Islam Centre for Higher Education, Kumaracoil, India., N Ramasamy ,   Associate Professor, Department of Mechanical Engineering, Noorul Islam Centre for Higher Education, Kumaracoil, India., Ramar K. ,   Professor and Dean in Computer Science, Muthayammal Engineering College (autonomous), Rasipuram, India.
Published: August 2019

An innovative approach is introduced to detect surface defects on titanium coated steel surfaces with varied size through the use of image processing techniques. This paper provides techniques which are useful to discover numerous kinds of surface defects present on coating surface. For defect detection, Firefly Algorithm (FA) based adaptive thresholding is proposed and is applied for the gray scale images. The FA ensuing nature inspired algorithm utilized expansively in support of determining various optimization problems and from the reconstructed image contours are extracted using level set method, the predictable images not including textures besides defects contours be compassed. The morphological post processing removes the noise in image and makes defects more distinguishable from the background. The speculative result persists in utilizing synchronous images of metal surface and shows that the proposed method can efficiently segment surface defects and obtain better performance than existing methods.
Hybrid Text and Value Based Ncryption and Obfuscation (Tvbencobfus) To Safeguard Data in Cloud Storage Server
Authors:   Research Scholar and Asst. Professor, Department of Computer Science, St.Joseph’s College(Autonomous), Trichy, Tamilnadu, India, Cyril B.Rex , Kumar S.Britto Ramesh ,   Asst. Professor, Department of Computer Science, St.Joseph’s College(Autonomous), Trichy, TamilNadu, India.
Published: August 2019

The proposed hybrid encryption and obfuscation technique are more efficient than previously proposed two algorithms. Because this technique considers all types of data which are ready to be uploaded to the cloud. It integrates the independent two procedures into a single procedure and executes both procedures in a parallel manner. For Example, if we consider data with a mixer of text and value-based, then, the proposed algorithm is called the tbenc() and vbobfus() procedure for text and value-based data respectively.
Performance Improvement of FSO Communication System using MIMO Technique
Authors:   Department of Electronics and Communication Engineering, Chandigarh University, Mohali, Punjab, India., Dubey Arjun , Parkash Davinder ,   Department of Electronics and Communication Engineering, Chandigarh University, Mohali, Punjab, India.
Published: August 2019

In proposed simulation model, the effect of different MIMO system has been analyzed on performance of free space optical (FSO) system concealed by various climatic conditions like clear, haze and fog. FSO is a free space communication system where space acts as medium between transceivers which provides a strong and efficient method for transmission and reception of information. The effect of different weather conditions has been investigated for range of 1 and 2 km at frequency 193.1 GHz. The proposed MIMO-FSO simulation system has been analyzed for different parameters like Q factor, height of eye, power received and bit error rate. The designed 4X4 MIMO-FSO system provides better results as compared to the 2X2MIMO and SISO-FSO system.
Enhanced Cyber Security for Big Data Challenges
Authors:   Professor, Prathyusha Engineering College Chennai, India., Padmapriya S. , Partheeban N. ,   Associate Professor, Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology Avadi. Chennai, India., Kamal N. ,   Professor, GRT Institute of Engineering and Technology Tiruttani, Suresh A. ,   Assistant Professor, Siddharth Institute of Engineering & Technology, Puttur, A.P., Arun S. ,   Professor, Prathyusha Engineering College, Chennai, India.
Published: August 2019

In recent years mining of data from social media is attracting more attention due to the explosion in the growth of Big Data. In security, Big Data deals with collection of huge digital information for analyzing, visualizing and to draw the insights for the prediction & prevention of cyber attacks. The Big Data mined about an enterprise from the data cloud, if properly analyzed reveals the private information which is highly risky. Maintaining the privacy of users of social media is the major challenge with respect to the security issues. As the data is generally stored in a data cloud, a boundary of trust must be established between the social media users and the data bank owners. Hence there is requirement of developing an efficient protocol for sharing of data. To secure the sensitive information of the user, data mining can be used along with an effective algorithm. This paper proposes the technique of code inline parsing to make the data more secure from the attacks & cyber hacks along with the SQL injections such that the data on the social media is secured. The proposed method secures the platform of Big Data which protects the user’s sensitive information.
Convolutional Windows for Side Lobe Reduction
Authors:   Research Scholar, Department of Electronics and Communication Engineering, Gitam University, Vishakhapatnam, India, Valli N.Adithya , Rani D.Elizabath ,   Professor, Department of Electronics and Instrumentation Engineering, Gitam University, Vishakhapatnam, India, Kavitha C. ,   Associate Professor, Department of Physics, Gitam University, Vishakhapatnam, India
Published: August 2019

A lot of applications in radar systems necessitate low range side-lobe performance which is achieved by pulse compression processing. Linear Frequency Modulation (LFM) signal is mainly used chirp signal for this processing. The paramount drawback in LFM is the first side-lobe level of -13dB at the receiver side. In this paper, LFM signal is modified by using simple two-stage piece wise linear frequency modulation (PWLFM) functions. The autocorrelation function of this PWLFM signal exhibited low peak sidelobe level ratio (PSLR) value compared to its counterpart LFM signal. An attempt is made to further reduce the side lobe values by using novel Convolutional windows. The simulation results confirm a significant side lobe reduction by the LFM signal designed using PWLFM functions when a more flexible Power of Cosine window function is applied compared to all other window functions.
Characterisation of Aluminium Alloy (Lm6) Metal Matrix Composite Reinforced With Copper Slag/Ferro Sand
Authors:   Bachelor of Engineering degree in Mechanical Engineering from Anna University, Chennai, A Prabhakaran , arul Sanjivi ,   Associate Professor in the Department of Mechanical Engineering, Amrita School of Engineering, at Amrita Vishwa Vidyapeetham, Coimbatore, India
Published: August 2019

Metal matrix composites are found to be one of the promising materials for advanced engineering application. It now has been produced commercially. Recent researches have shown an increased affinity towards the usage of agricultural waste as well as industrial waste as a reinforcement in the composite production which will have a momentous impact on the cost effectiveness of the composite manufacturing. This also will help in sustainable waste management. One of such industrial waste is Copper slag (CS), huge quantity of waste is left as land fill, the compositions of the CS is commensurable to the composition of the fly ash. This entailed using CS as the reinforcement in this composite Fabrication. In this work Aluminium alloy is reinforced with CS to produce a metal matrix composite using stir casting process, as it is one of the cost effective and efficient method of making ALMMC. All the samples are prepared as per ASTM standards and the properties such as Tensile strength, Elongation, Micro Hardness, Specific wear rate, Wear rate and microstructures are examined.
Bearing Capacity of Concrete-Filled Steel Tube Column Sections under Long-Term Loading
Authors:   Hanoi Architectural University, Ha noi, Vietnam, Nguyen Hong Son , Nguyen Quang Hung ,   Thuyloi University, Hanoi, Vietnam.
Published: August 2019

This article presents the design methods for concrete filled circular columns subjected to long-term axial compression and bending. . There are two approaches: stress-based and strain-based for formulations. Both approaches are specified in Russian Code, SP 266.1325800.2016, and in European Code, EN 1994-1-1:2004. A numerical example shows the procedures to calculate the strength of a given column according to two different Codes, the influence of parameters such as steel contribution ratio, relative slenderness to the results in two methods are consider.
HYBCIM: Hypercube Based Cluster Initialization Method for k-means
Authors:   Research Scholar, USIC&T, Guru Gobind Singh Indraprastha University, Delhi., Gupta Manoj Kumar , Chandra Pravin ,   Professor, USIC&T, Guru Gobind Singh Indraprastha University, Delhi, India.
Published: August 2019

Clustering is a data processing technique that is extensively used to find novel patterns in data in the field of data mining and also in classification techniques. The k-means algorithm is extensively used for clustering due to its ease and reliability. A major effect on the accuracy and performance of the k-means algorithm is by the initial choice of the cluster centroids. Minimizing Sum of Squares of the distance from the centroid of the cluster for cluster points within the cluster (SSW) and maximizing Sum of Square distance between the centroids of different clusters (SSB) are two generally used quality parameters of the clustering technique. To improve the accuracy, performance and quality parameters of the k-means algorithm, a new Hypercube Based Cluster Initialization Method, called HYBCIM, is proposed in this work. In the proposed method, collection of k equi-sized partitions of all dimensions is modeled as a hypercube. The motivation behind the proposed method is that the clusters may spread horizontally, vertically, diagonally or in arc shaped. The proposed method empirically evaluated on four popular data sets. The results show that the proposed method is superior to basic k-means. HYBCIM is applicable for clustering both discrete and continuous data. Though, HYBCIM is proposed for k-means but it can also be applied with other clustering algorithms which are based on initial cluster centroids.
Amalgam Of Hamming Weight-Based RSA And Multi Party Computations To Enhance Security In Multi Cloud Ambience
Authors:   Assistant Professor at Sr Francis College for Women, Hyderabad.India., Kalpana Parsi
Published: August 2019

Cloud Computing, apparent technology has both advantages and disadvantages. In spite of multitudinous benefits Cloud is offering, broad acceptance of Cloud has taken a toll on the basic security in cloud environments. It becomes more pronounced when thinking of multi cloud environments. This paper focuses on literature work associated with different variants of RSA in fusion with other methods and a proposed methodology which integrates dual techniques Improved RSA (based on principle of Hamming weight) and SSS (Secret Sharing Scheme) methods to improvise the security of data in cloud environments. The proposed method was compared with existing method taking in one parameter and was been proved that it excels the performance drastically.
Energy Loss Minimization by Optimal Siting and Sizing of DG with Network Reconfiguration in Distribution Networks
Authors:   Research Scholar, Electrical and Electronics Engineering Department, KLS Gogte Institute of Technology, Belagavi-590008, Karnataka, India., Magadum Rudresh. B. , Kulkarni Dr. D.B. ,   Professor, Electrical and Electronics Engineering Department, KLS Gogte Institute of Technology, Belagavi-590008, Karnataka, India.
Published: August 2019

The main aim of the distribution system is delivery the power to the consumers. Because of, aging of electrical infrastructure, old control mechanism, increased power demand causing exploitation of the present electrical networks leads to low voltage profile, more active and reactive power loss with various power quality related issues causing poor network operation. In this method maximization of voltage profile with energy loss minimization is carried using network reconfiguration along with optimal siting of the distributed generation (DG). The proposed methodology is carried out on five bus system. The obtained results are impressive interms of voltage stability and power loss reduction.
Detection of Human Brain Activities in a Normal Human being
Authors:   Dept. of Electronics and communication engineering, GIET University, Gunupur, india, Mohanty Mrs. Ashima Sindhu , Sahoo Mr. Akshya Kumar ,   Dept. of Electrical Engineering, GIET University, Gunupur, india, Patra Dr. Krishna Chandra ,   Dept. of Electronics and communication engineering, GIET University, Gunupur, india
Published: August 2019

Detection of artifacts produced in EEG data by eye blinks is a very common problem in EEG research. In this paper we address the detection of eye blink artifacts in a motor imagery (MI) EEG data. Artifacts are nothing but some kind of disturbances present in the brain signal whose origin is not the brain itself. Detection of unwanted artifacts plays a crucial role to acquire artifact free and clean brain EEG signals to analyze and detect brain activities. There are generally two ways of generation of artifacts. From a recorded signal most common and important artifacts in the form of eye blinks are recognized and encapsulated. In this paper a new software tool named BRAINSTORM is introduced for the detection of eye blink artifacts.
Process Map of a Unified Data Platform for Operational Intelligence and Analysis of Power Sector
Authors:   PhD Scholar University of Petroleum and Energy Studies, Dehradun, Plexus Infratech Private Limited, New Delhi, India., Ghosh Pratik , Banerjee Dr. Ratna ,   Assistant Professor (Senior Scale), University of Petroleum and Energy Studies, Dehradun, India., Kandpal Dr. Vinay ,   Assistant Professor, University of Petroleum & Energy Studies, Dehradun, India., Verghese Dr. Jacob T. ,   Chairman, Steag Energy Services India Private Limited, New Delhi, India.
Published: August 2019

The research tries to define “Process Map” for a Unified Data Platform for the power sector and its interoperations. Data mining and analytics are playing a key role in every modern industrial and process system. The tremendous growth in the field of information technology, communication protocols and support of high performing processors of modern day computer has led to a layer of data and information which can be utilized for management and operational excellence. The different data system, communication protocols, hardware and software applications were studied to identify the factors for designing the process map.The information layer added to the conventional power sector network is studied which is an ever increasing source of data. Additional data is being added by the new generation smartgrid with its automation system that are having numerous sensors embedded in the existing power system for controlling, monitoring and operational activities. The research was important as the last few decades have seen an organic growth in the power sector data which needs a defined framework and process map for Operational Intelligence and Analysis.
Design and Computational Fluid Dynamic Analysis of a Medium Haul Commercial Aircraft Wing and Fuselage
Authors:   B.Tech Students , School of Aeronautical Sciences, Hindustan Institute of Technology and Science, Chennai, Rajan S.M. Pratulya , D.G. Vinusha ,   B.Tech Students , School of Aeronautical Sciences, Hindustan Institute of Technology and Science, Chennai, Gopikrishnan Pushkala ,   B.Tech Students , School of Aeronautical Sciences, Hindustan Institute of Technology and Science, Chennai, Joshua Jensin ,   Assistant Professor, School of Aeronautical Sciences, Hindustan Institute of Technology and Science, Chennai
Published: August 2019

Medium haul commercial aircrafts are used by airliners for medium range flights which includes domestic and international routes, below 4000 km but not less than 1500 km. These are widely used type of aircrafts for airliners. It is a very challenging process to design such an aircraft and there are a lot of processes and parameters which need to be assessed before finalizing a design. The aircraft is designed to seat a hundred passengers and one of the main requirements of such medium haul aircrafts is that they are designed to carry the heavy loads for longer durations and yet provide a smooth flying experience. The design aspects include the selection of airfoil and engines. The airfoil selected has high lift capabilities and has a gentle stall quality providing for a perfect fit for this category of aircraft and the fuselage has been analysed in order to withstand the various aerodynamic forces that the aircraft might endure during flight. The design of the Wing was performed on CATIA V5,the design of the fuselage was performed on SOLIDWORKS Inc. and the analysis of the wing and fuselage were performed on ANSYS R19.2(Student Version).The design is said to provide better lift capabilities with the help of the airfoil chosen which could provide for a better performance on modern day aircrafts.
Support Vector Machines to Identify Information towards Fixed-Dimensional Vector Space
Authors:   Research Scholar K L University, Assistant Professor , Department Of CSE, S R Engineering College, India., Sripada Naresh Kumar , Sirikonda Shwetha ,   Assistant Professor, Department Of CSE, Sumathi Reddy Institute of Technology for women, India., Kumar Nampally Vijay ,   Assistant Professor , Department Of CSE, S R Engineering College, India., Siruvoru Vahini ,   Assistant Professor , Department Of CSE, S R Engineering college, India.
Published: August 2019

Support vector machines have actually consulted with significant success in various real-world learning jobs. The Support Vector Machine (SVM) is a thoroughly utilized classifier. Along with yet, obtaining the finest outcomes along with SVMs needs an understanding of their procedures as well as the different implies a consumer can influence their preciseness. We supply the individual with a fundamental understanding of the concept behind SVMs and also concentrate on their usage in technique. This paper is concentrated on the useful concerns being used to support vector machines to identify information that is currently supplied as functions in some fixed-dimensional vector space.
A Multi-Agent Bio- Inspired System to Map Learners with Learning Resources using Clustering Based Personalization
Authors:   Research Scholar, Dept. of CSE, Hindustan Institute of Technology & Science, Chennai, Tamil Nadu, India., Gottipati Nageswara Rao , Prasath Dr.A.Rama ,   Assistant Professor(Sel.Gr), Dept. of MCA, Hindustan Institute of Technology & Science, Chennai, TamilNadu, India
Published: August 2019

The work makes an examination of clustering methods in a multi-agent system which is fully decentralized. This has the goal of grouping agents that have similar data or objectives as in the case of traditional clustering. But, this adds to some more additional constraints wherein the agent will have to be in the same place as opposed to being collected within a centralized database. For doing this, it will connect to agents within a random network and will search for them in a peer-to-peer based fashion for the other agents that are similar. The primary aim here was to tackle the basic problem in clustering on the Internet scale thus creating methods where the agents may be grouped thus forming coalitions. For the purpose of investigating the decentralized approaches and their feasibility, the work presents the K-means clustering, the multi-agent Firefly Algorithm, (FA) and the Differential Evolution (DE). This is done for a reasonable number to times and will be surprisingly good. The results of the experiment prove that the multi-agent firefly clustering has better performance compared to that of a multi-agent K-Means clustering or a multi-agent DE clustering.
Distributed Wideband Sensing Method for Faded Dynamic Spectrum Access
Authors:   Research Scholar/ECE, BIHER - Bharath Institute of Higher Education and Research, Chennai, India., Kongkham Dinokumar , Sundararajan M ,   Professor/ECE, BIHER - Bharath Institute of Higher Education and Research, Chennai, India.
Published: August 2019

A conveyed compressive inspecting method is proposed for agreeable wideband spectrum sensing which requires fewer quantities of estimations whereas conquering time-changeability of range inhabitance and the shrouded station issue. Initially, we demonstrate that the wideband range inhabitance data could most likely be recouped with a decreased quantity of range estimations. Second, we suggest detecting framework plan which increases the spectrum detecting recuperation precision. Utilizing simulations, we affirm our theoretic outcomes and demonstrate that collaboration prompts high identification likelihood, even with every auxiliary client taking just little estimation. We likewise demonstrate that it is adequate to think about a subset of near to optional clients to get equivalent exhibitions.
Weight Ward Change Region Plummeting Change for Square based Image Huffman Coding
Authors:   Research Scholar, Department of Electronics & Communication Engineering, BIHER - Bharath Institute of Higher Education and Research, Chennai, India., Sankaran B Gowri , Karthik B ,   Associate Professor, Department of Electronics & Communication Engineering, BIHER - Bharath Institute of Higher Education and Research, Chennai, India., Vijayaragavan S P ,   Associate Professor, Department of Electronics & Communication Engineering, BIHER - Bharath Institute of Higher Education and Research, Chennai, India.
Published: August 2019

Image weight is an execution of the data weight which encodes genuine picture with specific bits. The purpose of the image weight is to lessen the redundancy and superfluity of picture data to be capable to record or send data in an incredible structure. Thusly the image weight lessens the period of transmit in the framework and raises the transmission speed. In Lossless technique of picture weight, no data get lost while doing the weight. To handle these sorts of issues various techniques for the image weight are used. By and by inquiries like how to do mage weight and second one is which sorts of development is used, may be rises. In this way normally two sorts' of strategies are explained called as lossless and the lossy picture weight approaches. These techniques are straightforward in their applications and eat up alongside no memory. A count has similarly been familiar and associated with pack pictures and to decompress them back, by using the huffman encoding frameworks.