bluuebunny/crossref_metadata_2025 huggingface dataset:
Factors Influencing Behavioural Intention to Use Mobile Banking in Champawat District of Uttrakhand
Authors:   Research Scholar, University Of Petroleum And Energy Studies, Dehradun, India, Mehta Anil , Chakrabarti Deepankar ,   Professor And Dean, University Of Petroleum And Energy Studies, Dehradun, India, Srivastava Rajeev ,   Head Of Department, Decision Science Department, University Of Petroleum And Energy Studies, Dehradun, India, Mehta Ranjeet ,   Principal Director, PHD Chambers, New Delhi, India
Published: January 2020

India has more mobile connections compared to banking accounts, therefore GoI in Economic Survey 2014-15, proposed JAM (Jan-Dhan Yojana, Aadhar Number and Mobile Number) trinity to use ICT for more efficient and effective spread of formal banking even to the hilly areas where brick and mortar banks are challenging to build and sustain. Also, financial inclusion cannot happen without economic activity, and Mahatma Gandhi National Rural Employment Act (MGNREGA) is a policy which significantly helped to enhance the economic activity of rural India. Because of penetration of mobile technology and involvement of the same in financial inclusion, this research will contribute to understanding the constructs of mobile banking adoption in hilly rural area of Champawat District, Uttrakhand w.r.t population registered with MGNREGA. The authors found research is scarce for mobile banking adoption in hilly rural areas of India. (Mehta et, al 2019) may be the only study for Champawat district of Uttrakhand, using technology acceptance model (TAM) and total interpretive structural modelling (TISM) to develop a model. This paper takes model from Mehta et al. 2019 and examines the relationship between the constructs using structured equation modelling (SEM).
Optimization of Process Parameters of EDM of Inconel 617 by Taguchi Based PCA and GRA Technique and Effect of Recast Layer Formation
Authors:   Assistant Professor, Mechanical Engineering Department, Chouksey Engineering College Bilaspur under Chhattisgarh Swami Vivekananda University Bhilai, Vastrakar Shrikant , Shrivas Sharda Pratap ,   Assistant Professor, Mechanical Engineering Department, Chouksey Engineering College Bilaspur under Chhattisgarh Swami Vivekananda University Bhilai., Vishwakarma Amit Kumar ,   Head Department of Mechanical Engineering, Chouksey Engineering College Bilaspur under Chhattisgarh Swami Vivekananda University Bhilai., Vaidya Sanjay Kumar ,   Head Department of Mechanical Engineering, Chouksey Engineering College Bilaspur under Chhattisgarh Swami Vivekananda University Bhilai., Khandelwal Ashish Kumar ,   Head Department of Mechanical Engineering, Chouksey Engineering College Bilaspur under Chhattisgarh Swami Vivekananda University Bhilai.
Published: January 2020

Inconel materials are manufactured in various series which have differences in their chemical composition and hence in its physical and chemical properties. These alloy materials are known for their high strength, corrosion resistance and oxidation resistance. They are not easily machine-able through conventional machining, due to rapid work hardening tendency, high toughness and hardness, tendency to form built up edges, hence for their machining, non conventional machining equipments like EDM are used. A number of experiments has been performed to optimize process parameters of EDM on different series of Inconel material like Inconel 625, Inconel 718, Inconel 601, Inconel hastelloy C-276, Inconel 690 etc. by different optimization technique Taguchi, PCA, GRA etc however there is a lack of data available for optimization of process parameters of EDM machining for Inconel 617. So in this paper optimization of process parameters like Pulse on time, peak current, gap voltage have been done by taking Material Removal Rate and Tool Wear Rate as response variables. Other process parameters have been kept constant during EDM process. It is found that for different values of process parameters pattern of variation of MRR and TWR is different. Also the effect of recast layer formation on MRR and TWR has been analyzed and it is found that at high Peak Current and high Pulse on Time, tendency of formation of recast layer is high. Formation of recast layer adversely affects MRR and TWR i.e. it reduces MRR and TWR. Also Results obtained from PCA and GRA has been compared and it is found that both methods give same optimum set of process parameters but they have differences in pattern of variation of MRR and TWR.
DDEAS: Distributed Deduplication System with Efficient Access in Cloud Data Storage
Authors:   Department of Computer Science and Engineering University Visvesvaraya College of Engineering Bengaluru - 560001, India, M Bhavya , J Thriveni ,   Department of Computer Science and Engineering University Visvesvaraya College of Engineering Bengaluru - 560001, India, R Venugopal K ,   Vice Chancellor Banglore University, Bengaluru - 560056, India
Published: January 2020

Cloud storage service is one of the vital function of cloud computing that helps cloud users to outsource a massive volume of data without upgrading their devices. However, cloud data storage offered by Cloud Service Providers (CSPs) faces data redundancy problems. The data de-duplication technique aims to eliminate redundant data segments and keeps a single instance of the data set, even if similar data set is owned by any number of users. Since data blocks are distributed among the multiple individual servers, the user needs to download each block of the file before reconstructing the file, which reduces the system efficiency. We propose a server level data recover module in the cloud storage system to improve file access efficiency and reduce network bandwidth utilization time. In the proposed method, erasure coding is used to store blocks in distributed cloud storage and The MD5 (Message Digest 5) is used for data integrity. Executing recover algorithm helps user to directly fetch the file without downloading each block from the cloud servers. The proposed scheme improves the time efficiency of the system and quick access ability to the stored data. Thus consumes less network bandwidth and reduces user processing overhead while data file is downloading.
Optimization of Machining Parameters for AISI 316L And 317L Austenitic Stainless Steels using Eco Cut Wire EDM Technique
Authors:   Research Scholar, Department of Mechanical Engineering, Pondicherry Engineering College, Puducherry, India., Manohar M.V.N. Srujan , Rao Y. Seetha Rama ,   Associate Professor, Department of Mechanical Engineering, GVPCOE (A), Visakhapatnam, India., Ram Ch. Sree ,   PG student, Department of Mechanical Engineering, GVPCOE (A), Visakhapatnam, India.
Published: January 2020

Austentic stainless steel is one of the most suitable engineering material based on their superior resistance to corrosion and compatibility at high temperatures and high vacuum. However, the machinability of austenitic stainless steel is not very promising owing to lower thermal conductivity, higher degree of ductility and work hardenability. For meeting these challenges, unconventional machining procedures were evolved and can make any impenetrable design/profile on any work substance by acceptable controlling of various machining procedures. The main importance of this paper is to show the impact of machining parameters on Eco-cut Wire Electric Discharge Machining (WEDM) for disparate austenitic stainless steels (AISI 316L & 317L). Initially both the metals are machined on WEDM. Machining parameters like pulse on time(Pon), pulse off time(Poff), voltage(V) and wire tension(WT) are observed for both 316L and 317L stainless steel materials. A Box-Behnken Design (BBD) of response surface methodology (RSM) has been used for experimental work. The reaction of procedure is estimated by ANOVA analysis and response optimizer is used for optimum level checking. A series of trial runs were carried out on both the machined specimens for identifying better material removal rate(MRR), cutting speed(CS) and surface roughness(Ra).
Design of Pseudo Random Number Generator using Linear Feedback Shift Register
Authors:   Department of Computer Science, Aligarh Muslim University Aligarh 202002, India, Hassan Shabbir , Bokhari M. U. ,   Department of Computer Science, Aligarh Muslim University Aligarh 202002, India
Published: January 2020

Nowadays security has become a great concern in the field of computer science and information technology. In order to protect data from unintended users and to achieve a desirable level of security, several cryptographic algorithms based on various technology have been proposed. Linear Feedback Shift Register (LFSR) may play an important role in the design of such cryptographic algorithms. LFSR based cryptographic algorithms are often lightweight in nature and are more suitable for resource constraining devices. In this paper we present a detailed analysis of LFSR and design of LFSR to implement cryptographic algorithms.
Parameter Analysis of Interfering Applications in Multi-Core Environment for Throughput Enhancement
Authors:   Research Scholar, School of Computer Science & IT, Devi Ahilya University, Indore, India,, Shukla Surendra Kumar , Chande P.K. ,   Ex-Director, MNIT Bhopal, SGSITS Indore, India
Published: January 2020

In Multi-core systems the applications co-execute in Multi-programmed mode, have interfere with each other during execution, which creates resource bottleneck affecting the performance. To reduce the interference in a given set of resources some conventional approaches don't give guarantee of performance in a conflicting application environment. In this paper, we make an in-depth analysis of benchmark applications interference for shared resources and find out application set which could be executed adopting a designated policy to mitigate the interference effects. In this work, we have performed profiling and analysis of applications on the state-of-the-art simulator gem5. Finally, we conclude the possibility of performance improvement through the designated policy. The simulation results show the scope to have a new scheduler for performance improvement in such systems.
AI Proposition for Crypt Information Management with Maximized EM Modelling
Authors:   Research Scholar, Faculty of Computer Applications Department, MRIU, Faridabad (India), Jolly Sakshi , Gupta Neha ,   Associate Professor, Faculty of Computer Applications Department, MRIIRS, Faridabad (India)
Published: January 2020

There are a few circumstances where we utilize cutting edge innovations to recognize another element from the information we have. Regardless of whether it might be finished data or halfway data we attempt to recognize the new thing from the information. Mysterious information is such we have to concentrate on estimating the situations of achievement rate with this sort of enigmatic information which resembles a futile information. Enigmatic esteem resembles a pointless information which resembled an old information. We have to refine that information which isn't certified at that time. For instance consider age in an informational index as the enigmatic information since when that informational index was made that client might be with some age and after such a significant number of years still the age will be continue as before in the dataset with no update. This sort of data can be handled utilizing the grouping instrument which can be distinguished dependent on the data we accumulated from the store. The usefulness referenced in this article is to quantify the enigmatic information with the AI and approving the model dependent on the exactness we scored with the present information accessible. The total article talks about the activities we perform to accomplish the exactness of the model with various grouping systems.
Simulation of Dye Synthesized Solar Cell using Artificial Neural Network
Authors:   Department of Mathematics, Shivaji University, Kolhapur, India, Kharade S. K. , Kamat R. K. ,   Department of Computer Science, Shivaji University, Kolhapur, India., Kharade K. G. ,   Department of Computer Science, Shivaji University, Kolhapur, India.
Published: January 2020

The primary goal of present examination is to foresee every day worldwide solar cell efficiency in view of meteorological factors, utilizing distinctive counterfeit neural system (ANN) procedures. In the present examination we report the impact of Dye Synthesized solar cell. A three-layer artificial neural network (ANN) model was developed to predict the efficiency of Dye Synthesized solar cell based on 100 experimental sets. In the present examination we report the impact of Dye Synthesized solar cell. The effect of operational parameters such as short circuit current (Jsc),Open circuit voltage(Voc),Fill factor(FF) were studied to optimize the conditions to check the efficiency of Dye Synthesized solar cell. Experimental results showed that the ANN model was able to predict adsorption efficiency with a tangent sigmoid transfer function (tansig) at hidden layer with 20 neurons and a linear transfer function (purelin) at output layer. The Levenberg–Marquardt algorithm (LMA) was used with a minimum mean squared error (MSE) of 0.00350141. The linear regression between the network outputs and the corresponding targets were proven to be satisfactory with a correlation coefficient of about 0.9993 for six model variables used in this study.
PPDM for Medical Data using Visual Cryptography
Authors:   Research Scholar, Sathyabama Institute of Science and Technology., P Subhashree. , Gunasekaran G. ,   Principal, J.N.N Institute of Engineering.
Published: January 2020

Privacy preserving data mining is a growing field with advancements reported frequently. In this paper, for maintaining privacy of medical data of patients, a novel visual crypto technique of peeling with modular scheme is proposed. In this work, using the concept of group theory, PPDM for medical data is done using Verilog.
Methods and Tools for Designing a Multi-Service Platform for Agricultural Enterprises
Authors:   Professor, Department of Electronic Systems and Information Security, Samara State Technical University, Samara, Russia., Skobelev Petr , Mayorov Igor ,   Ph.D., Chief Engineer, Institute for the Control of Complex Systems of Russian Academy of Sciences, Russian Federation, 443020 Samara, Novichkov Dmitry ,   Software Developer, Aeropatrol, Ltd., Russian Federation, 443013 Samara, Moskovskoe shosse 17, Business center “Vertical, Simonova Elena ,   Ph.D., Associate Professor, Department of Information Systems and Technologies, Samara National Research University, Samara, Russia.
Published: January 2020

The paper dwells on the problems of developing an internet platform for support of decision-making and production management for an agricultural enterprise. The described system is an open environment which is capable of integrating third-party services with the application-programming interface (API), each service being an autonomous software component (agent) with its own criteria and target. Thus, planning is done through continuous interaction of agents within the multi-service platform, using the knowledge base for storing various data on crops, such as conditions of crop growing, characteristics and peculiarities of crop production, pests, plant diseases, soil types and their specific features, technological processes (maps) for crop growing, application of fertilizers and plant protection products, crop production economy, classes of agricultural machines and equipment. Thus, the result of scheduling is the work plan for a given time horizon. On top of that, the paper describes the first prototypes of smart services and their interaction, as well as the next steps for future research.
3D Finite Element Modeling and Simulation of Friction Drilling Process
Authors:   Department of Mechanical Engg, VNRVJIET, Hyderabad, India, Srilatha Nimmagadda , Prasad Balla Srinivasa ,   Department of Mechanical Engg,, GIT, GITAM Deemed to be University, Visakhapatnam, India., Anipey Padmaja ,   Asst.professor, Dept. of Mechanical Engg, Vizag Institute of Technology, Visakhapatnam, India.
Published: January 2020

Friction drilling is an advanced drilling process in which that can be utilize the heat produced between the workpiece and rotating drilling tool bit to soften the work material and producing a hole on it. In this investigation our interest is to choose work material is Al 7075-T351 to analyze the stress, strain, temperature and work material deformation in friction drilling. Al 7075-T351 square-tube materials were drilled on a computer numerical control (CNC) machine centre by friction drilling has analyzed at different rotational speed and feed rate through controlled operation tests. The temperatures in work piece and tool were more in Friction drilling. Simulation has required perceiving the material flow, stresses, temperatures, and strains. Those are tough to quantify experimentally through friction drilling. In this study, CATIA is used to design the tool model and the software which is used to simulate the performance of friction drilling is DEFORM-3D and effect of tool material speed and feed rate on shape of bushing formed is observed. Taguchi’s technique L9 Orthogonal Array was used to analyze the optimum values. Signal to noise ratios also administered for optimization of parameters.
IGSA FA for Optimal Placement of FACTS Devices
Authors:   Research Scholar, School of Electrical Engineering, KIIT University, Bhubaneswar, Odisha, India., Jena Ramakanta , Swain Sarat Chandra ,   Professor, School of Electrical Engineering, KIIT University, Bhubaneswar, Odisha, India, Dash Ritesh ,   Asso. Professor, Christian College of Engineering & Technology, Bhilai, India.
Published: January 2020

With the globalization of power market by reducing the installation and operating cost of the power plant with profitable power flow controller leads to successful implementation of optimal power flow through optimal algorithms. Finding the solution of optimal load flow problem with non-linear equation such as Newton’s equation is one of the possible solution. However, applying Newton’s solution to OPF for finding convergence is a little bit tedious and time consuming affecting marginal losses by involving a number of inequalities present in the system. Transmission lines capacity and bus voltage limit are vital safety factors to carry out OPF in any power system The system being operational in normal state is equipped with security measures in order to discern that it is capable of resisting contingencies devoid of any limit contravention . To ensure a consistent power system function, it is essential that the safety of the system is duly accounted for in
Trends in Gross Enrolment Ratio of Male Female Enrolment and Expenditure on Higher Education as Percentage of Gross Domestic Product India
Authors:   Associate Professor of Statistics, Dept. of Statistics, G. S. Science, Arts and Commerce College, Khamgaon (MS) 444303 India, Wankhade M. O.
Published: January 2020

Education plays a vital role in development of the society and the nation at large. It prepares and trained staff in any respect levels to manage capital, technology services and administration at each sector within the economy of the nation. India is presently at the stage of demographic transition wherever growth is retardation down however, the population of young people entering the labor/employment force continues to expand. This young and huge population ought to be educated for the betterment of the state. Gross Enrolment Ratio (GER) in higher education with respect to gender is having increasing trend. The proportion of students enrolling in the higher education has increased significantly during the last two decades and as a result the higher education institutes, private universities, private and government colleges, in India are increasing significantly. Though the government of India has its own limitations towards funding the higher education should formulate the policy of funding to the universities/educational institutes so that the quality and standard in higher education is maintained. The aim of this paper is to study the trends in male, female enrolment and expenditure on higher education as % of Gross Domestic Product (GDP) of country. The secondary data is taken from the annual reports of University Grants Commission, AISHE and Ministry of Human Resource Development of India. The data is analyzed by using MINITAB19 statistical software by fitting quadratic trend and the forecasts for the period 2018-19 to 2027-28 with respect to GER of Male, Female and public expenditure on higher education in India. The accuracy of the fitted model is measured on the basis of Mean Absolute Percent Error (MAPE). It was observed that student enrolment in higher education is increased but the expenditure on higher education as % of GDP has sown decreasing trend after 2000-2001.
Implementing Query Terms Linked to Virtual Databases by Metaheuristic Techniques
Authors:   Department of Computer Sc.&Engg., Ajay Binay Institute of Technology, Cuttack, affiliated to Biju Patnaik University of Technology, Rourkela, Prasad Suman Sourav , Mishra Sambit Kumar ,   Department of Computer Sc.& Engg.Gandhi Institute for Education and Technology, Baniatangi, affiliated to Biju Patnaik University of Technology, Rourkela
Published: January 2020

In general case, the database trigger may be quite applicable to signified queries to validate the database requests. Specifically, these may be essential to adopt search mechanisms to identify the query terms. In such cases it may also be required to eradicate ambiguities during updates by checking consistencies, durability. Many database systems support aggregate functions as it may be really linked to statistical analysis of large scale data. Again as per the requirement and schedule, multilevel aggregation may be thought of towards report generation and implementation of join predicates. In case of complexity, direct requests may be accessed to schedule the entire database operations. While optimizing the database queries, alternative query plans may be thought of implementing specific routines to eradicate the duplicity of query terms. It may be quite possible to containerize the query plans linked to several data servers exploring the inter operator parallelism. Also the assemblers linked to the query plans in the servers may steer the process accordingly. Considering the implementation mechanisms of database query plans inside a cloud storage system, the data may be automatically partitioned and replicated. The servers may change dynamically the existing load in response to the query plans. The queries as well as the transactions may be uncommon during optimization process and applications may be communicated following standard activity protocols linked to the database servers. Linking the query terms to the databases, it may also be required to incorporate metadata towards plan execution. Many times transactional database applications linked to relational cloud may have the provision of configuring and accessing the data and may face the challenges like scalability and privacy. To overcome these issues, the tasks may be relocated and rearranged linked to database servers by which better performance may be achieved dealing with complex transactions. Also the aggregation methods or techniques linked to data partitioning may enable the structured queries to yield better performance. In this paper it is intended to obtain query terms along with the threshold values linked to virtual databases.
Heuristic Greedy Method for Spectrum Sensing in Cognitive Radio Network
Authors:   Department of Electronics & Communication Engineering, SCSVMV, Kanchipuram, India., Muthukumaran D. , Omkumar S. ,   Department of Electronics & Communication Engineering, SCSVMV, Kanchipuram, India.
Published: January 2020

In recent years, radio frequency spectrum in wireless communication is not effectively utilized. To utilize the spectrum effectively, an optimistic technology called “Cognitive Radio network” used. It is the best preferable next generation wireless networks. Using DSA (Dynamic Spectrum Access) approaches, it shares the spectrum effectively between the primary and secondary users. It allows the secondary users to use the spectrum by dynamic spectrum sharing algorithms. When the primary users and secondary users are using same frequency band and transmitting simultaneously, there is a spectrum underlay problem in the network. A novel heuristic greedy algorithm proposed for improving the performance parameters of cognitive radio network using co-operative spectrum sensing.
Impact of Relationship Marketing Variables on Brand Resonance: Mediating Role of Brand Attitude
Authors:   Assistant Professor, Department of Business Administration, SRM Institute of Science and Technology, Chennai, India., S Divyasre. V. , J Ramya ,   Assistant Professor, Department of Business Administration, SRM Institute of Science and Technology, Chennai,India.
Published: January 2020

Relationship Marketing has got its values strongly rooted in business and market place right from the year 1983. It is the core sphere of operation for all kinds of trade and no organization overlooks this concept. Holding this importance of Relationship Marketing as a core idea, the study aims at discerning the impact of Relationship Marketing Variables on Brand Resonance. Brand Resonance is yet another dominant state of psychological connect which every company would like to establish with the customers. The Relationship Marketing Variables Trust, conflict handling, empathy and Satisfaction are considered for the analysis. Brand Loyalty, Brand Community, Brand Engagement and Brand Attachment are the variables of Brand Resonance. Focusing on the relationship marketing variables that contributes towards high brand resonance would enable companies to contemplate on these profit enabling areas that eventually leads to a sustenance growth for the organization. Indian Shopping Websites has been given the prime importance in this study and data has been collected from 515 users of these websites. Multiple regression is employed as a main tool to examine the influential effect and for mediation analysis. The mediating effects of brand attitude over brand resonance is also examined in this study. Drifting from the traditional view of customer satisfaction influencing Brand Loyalty, this study has found Empathy as the most influential factor on Brand Resonance followed by Conflict handling and Trust. Brand Attitude strongly mediates the relationship between relationship marketing dimensions and Brand Resonance.
Deep Learning and NLP based Side Channel Attack for Text Inference in Smartphones
Authors:   School of Computer Science and Engineering, CEG, Anna University, Chennai, India,, Maheswari P Uma , Ibrahim Mohamed Yilmaz ,   School of Computer Science and Engineering, CEG, Anna University, Chennai, India., B Ramkumar ,   School of Computer Science and Engineering, CEG, Anna University, Chennai, India., Sundar Aswin ,   School of Computer Science and Engineering, CEG, Anna University, Chennai, India.
Published: January 2020

Over the past years, smartphones have witnessed an alarming rise in embedded sensors which enhance their support for applications. However, they can be regarded as loopholes as seemingly innocuous information can be obtained without any user permissions in Android thus invading the user’s privacy. Our work establishes a side channel attack by illegitimately inferring the information being typed by the user on a smartphone using the readings from ‘zero-permission’ sensors like accelerometer and gyroscope. This serves as a proof of concept to prevent such attacks on mobile devices in the future. While previous research has been conducted in this space, our narrative involves a predictive model using Recurrent Neural Networks that can predict the letters being typed in the keyboard solely based on the motion sensor readings, thus inferring the text. Our research was able to identify 37.5% of the unseen words typed by the user using a very small volume of training data. Our tap detection method has shown 92% accuracy which plays a critical role in the text inference. This research lays the foundation to further progress in this area, thus helping to strengthen the mobile security.
Minimization of Input Ripple Current for Soft-Switching Buck-Boost Converter
Authors:   Electrical Engg Dept, I.G.I.T Saranga, BPUT Odisha, India,, Behera Siddhartha , Kumar Brijesh ,   Electrical Engg Dept, I.G.I.T Saranga, BPUT Odisha, India, Behera Rabindra Kumar ,   EE Dept, I.G.I.T Saranga, BPUT Odisha , India
Published: January 2020

Among all dc-dc converters, the present trend of utilities is buck-boost converter which is capable enough to operate under on/off control so as to step-up and stepping-down the fixed input voltage by varying its duty-ratio of the switch. This converter possesses hard-switched one that means the switching device operate on non-zero voltage or non-zero current and leads to significant increase in switching loss. This issue leads to use of soft-switching of device. As far as the soft- switching of buck-boost converter is concerned, very few papers appear in literature. But in most of these cases, hardly the attention has been given to look into the aspect of ripple content at the input current level. Higher the ripple content at the input not only affect the electrical equipment (i.,e such as adding core losses to transformer in line thus reduction in efficiency), but also causes electromagnetic interference with nearby telecommunication lines and measuring equipment etc. Though there is an option to include the low-pass filter at input, but that creates a hindrance in providing the oscillation along dc link because of input filter in parallel with secondary components across the switch and load. In this research work, the parallel operation of soft-switching buck-boost converter is proposed by modifying the circuit [15] and the circuit is operated with its optimum level so as to minimize the requirement of components. The components of this converter are properly designed to enable soft-switching for the switch. The simulation of the proposed circuit is carried out by MATLAB (Simulink) to validate performance.
Smart Accident Detection and Switching of Traffic Signal
Authors:   Department of CSE, Sri Ramakrishna Institute of Technology, Coimbatore,, B Kokila , K Sathayaseelan ,   Department of IT, Sri Ramakrishna Institute of Technology, Coimbatore, C Pradeep ,   Department of M&H, Sri Ramakrishna Institute of Technology, Coimbatore,
Published: January 2020

An accident is one of the major causes of unnatural and untimely death. This is one of the serious issues throughout the world. Most of the accidents occur due to vehicle factors, improper traffic management, and lack of timely help. With the increase in the number of vehicles, it may be little hard to keep away from such accidents on road. The main objective is to implement the new advancements in saving human lives by detecting the occurrence of the accident in a vehicle and by directing the ambulance to the accident location without time delay. Also by implementing smart traffic control system, the ambulance moves to medical centre in an effective way without any stall in the traffic signals. Automation of accident detection is implemented by sensor-based ambulance management with the smart traffic management system. It consists of Crash sensor and MEMS sensor for detecting the accident in the vehicle and RF transmitter on the ambulance to communicate with the RF Receiver located on the traffic signal. This helps the ambulance to cross the junction switching the signals from Red to Green when the signal is received by the ambulance.
PSO Optimized Nearest Neighbor Algorithm
Authors:   Computer Science and Engg. Deptt., Graphic Era Deemed to be University, Dehradun, India, Mahajan Manish , Kumar Santosh ,   Computer Science and Engg. Deptt., Graphic Era Deemed to be University, Dehradun, India, Pant Bhasker ,   Computer Science and Engg. Deptt., Graphic Era Deemed to be University, Dehradun, India, Joshi Kireet ,   Computer Science and Engg. Deptt., Graphic Era Deemed to be University, Dehradun, India, Tripathi Vikas ,   Computer Science and Engg. Deptt., Graphic Era Deemed to be University, Dehradun, India
Published: January 2020

Data mining can be considered to be an important aspects of information industry. Data mining has found a wide applicability in almost every field which deals with data. Out of the various techniques employed for data mining, Classification is a very commonly used tool for knowledge discovery. Various alternatives methods are available which can be used to create a classification model, out of which the most common and apprehensible one is KNN. In spite of KNN having a number of shortcomings and limitations in it, these can be overcome by with the help of alterations which can be made to the basic KNN algorithm. Due to its wide applicability, kNN has been the focus of extensive research and as a result, many alternatives have been performed with wide range of success in performance improvement. A major hardship being faced by the data mining applications is the large number of dimensions which render most of the data mining algorithms inefficient. The problem can be solved to some extent by using dimensionality reduction methods like PCA. Further improvements in the efficiency of the classification based mining algorithms can be achieved by using optimization methods. Meta-heuristic algorithms inspired by natural phenomenon like particle swarm optimization can be used very effectively for the purpose.
Recovering Oral Motor Strength to Protect Children from Severe Cerebral Palsy through Virtual Gaming Technology
Authors:   Department of Biomedical Engineering, School of Technology, North Eastern Hill University, Shillong, Meghalaya, India., Pandey Vinay Kumar , Majhi Vinayak ,   Department of Biomedical Engineering, School of Technology, North Eastern Hill University, Shillong, Meghalaya, India, Paul Sudip ,   Department of Biomedical Engineering, School of Technology, North Eastern Hill University, Shillong, Meghalaya, India
Published: January 2020

Recent methods and advancing world of medical electronics changed lots of traditional therapeutic intervention and approach for the management and treatment of several disorders. In the same line of approach the way of treatment of cerebral palsy is also changing more or less with recent advancement in clinical research. These clinical research and advancement gives a new pathway in the understanding of CP, early detection and prevention with primary care. This provides us a new opportunity to treat CP with the combination of both modern approach as well as the traditional therapeutic approach. Implementation of modern therapeutic electronics with enriched environment plays a vital role in treatment and management of CP. This paper provides a comparative study of mild and severely disabled children kept in different environment of treatment in the different geographical regions of the country i.e. India. The child and therapist both are much interested and enjoy a lot when such types of therapy is given from modern devices like computer, tablet, mobile phones in the form of interactive gaming to achieve a variety of therapeutic goals. Use of electronic and software gaming specifically designed for therapeutic purposes may adjunct to manual therapy. These games in recovery of oral motor strength in rehabilitation settings are showing more enjoyable and acceptable for growing children and adults too.
Emission from Compression Ignition Engine using Biogas Blends with Diesel as a Fuel
Authors:   Associate Professor, Department of Mechanical Engineering, Vels Institute of Science, Technology & Advanced Studies (VISTAS), Chennai, Tamil Nadu., Peter A Arul
Published: January 2020

A study on performance and emission of compression ignition (CI) engine has been made by utilizing biogas blends at different loads. The flow rate of biogas with air was important parameter to get the desired results. The blend of 30% with diesel was optimum which yielded optimum emission characteristics. Higher specific fuel consumption and lower brake thermal efficiency was observed when the proportion of biogas mixes with diesel in comparison with neat diesel. The out coming results from the experimental investigation exhibited reduction in NOx emission and smoke opacity. The other emissions hydrocarbon (HC) and carbon monoxide (CO) has been higher than diesel. The use of biogas as an alternative fuel in correct proportion with diesel can meet the energy demand on scarcity of conventional fuel.
Characterizing and Countering Communal and Anti Communal Tweets During Disasters
Authors:   UG student, Department of computer science and Engineering Vels Institute of science,Technology and Advanced Studies, Tamil Nadu, India., S Archana K. , M Latha ,   Assistant Professor Department of computer science and Engineering Vels Institute of science,Technology and Advanced Studies, Tamil Nadu, India, P Sheela Gowr ,   Assistant Professor Department of computer science and Engineering Vels Institute of science,Technology and Advanced Studies, Tamil Nadu, India.
Published: January 2020

Various tweets shared during a disaster situation encompasses data related to current scenario and about emotions/opinions. By analyzing these communal tweets, abusive posts which targets various religiousandracial groups during natural calamities has been found. By reviewingits effects, a classifier has been developed to distinguish between communal and non-communalmessages, which shows better performance. People posting such communal tweets has been analyzed which says that most of them are posted by popular users from media, politicsand form strong correlated groups in the social network which makes it to reach higher. An event-independent classifier has been proposed whichidentifiesanti-communal tweets automatically and propose a way to counter back. A real-time service has been developed to find tweets automatically related to an emergency segregating communal and anti-communal tweets. Government and local monitoring agencies can use this system for making decisions like filtering or to promote some news.
Experimental Behaviour of Tensile Properties of Aa2014-T6 Aluminium Alloy using FSW and Gtaw Process
Authors:   Professor & Head, Department of Mechanical Engineering, VNR VignanaJyothi Institute of Engineering and Technology, Bachupally, Hyderabad, India, Kumar B. V. R. Ravi , Raja A.Sudheer ,   PG Scholar, Advanced Manufacturing System (AMS) VNR Vjiet, Hyderabad, India, Varma K. Vijaya Krishna ,   PG Scholar, Advanced Manufacturing System (AMS) VNR VJIET, Hyderabad, India
Published: January 2020

In the bringout research work carried out the comparative study of weld characteristics of Aluminium Alloy AA2014-T6 weldments, joined by employing two processes namely Friction Stir Welding (FSW) and Gas Tungsten Arc Welding (GTAW). FSW was performed with three different geometrical tool pin profiles like triangular, square, pentagon with process variables like tool rotational speed of 1400rpm, traverse speed of 86mm/min and tool tilt angle 3⁰. GTAW process was carried out by using constant current welding (CCW) and pulse current welding (PCW) at a frequencies of 2Hz and 4Hz respectively. This work lead to study the Ultimate Tensile Strength (UTS), 0.2%Yield Strength (YS) and % Elongation (%El) of AA2014-T6 weldments produced by FSW and GTAW
Simulation of Saltwater Intrusion in a Coastal Aquifer Chennai, India
Authors:   Research Scholar, Department Of Civil Engineering, Dr. M.G.R. Educational And Research Institute, Chennai, India & (Assistant Professor, Panimalar Engineering College, Chennai, India)., Krishnakumari B. , Narayanan RM. ,   Professor, Department Of Civil Engineering Dr. M.G.R. Educational And Research Institute, Chennai, India
Published: January 2020

SEAWAT-2000 is employed to reproduce groundwater movement and migration for a coastal stretch in the Chennai city, India. SEAWAT coupled interpretation of MODFLOW and MT3DMS can recreate 3-D model, variable thickness, groundwater flow and multi-layer transport. The variable thickness flow strategy uses the MODFLOW framework to decide the variable thickness flow condition. The aquifer considered for the present investigation is ~ 75 km coastal area from southern Thiruvanmiyur to northern Thiruvottiyur. The analysis considers about managing the available data most capably to create an intense and complex propagation model. The game plan parameters are quantifiable by altering the model for multi-year outputs with consistent time step. The idea is to recharge the unconfined strata using wise groundwater potential of the aquifer with progression of transmissivity and unambiguous yield for weathered, fractured aquifer alluvium and Gondwana formations starting from 2 to 143.2 m 2 /day along and 0.00075 to 0.2 independently. The model evaluates the extent of above mentioned study area with the targeted accuracy by segregating the data. From this, the model is perceived to be tentatively steady for any groundwater applications and associated with foreseeing the water incursion in beach front aquifers for various strategy and overall water level rising.
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Authors:   The Society For Chinese Humanities In Korea, . .
Published: January 2020

Since Modern times, the description of Shangha' is start with the novels of the late Qing Dynasty. The description of Shanghai is basically based on the two aspects of “reform” and “corruption”. In the 19th century, with the development of printing and the introduction of photography technology, the visual media represented by images gradually popularized, which brought great changes to human visual experience. Pictorial is the product of the meeting of printing technology and visual media. Shanghai, once the holy land of the printing industry, also publishes the most pictorial newspapers. There have been two “pictorial boom” in Shanghai. Among them, the first “pictorial boom” can be said to have been set off by Dianshizhai pictorial. Consequently Dianshizhai pictorial occupies an important position in the history of pictorial newspaper. Dianshizhai pictorial was founded in Shanghai in 1884 by Ernest major. At the beginning, it was published as a ten-day journal, accompanied by Shun Bao. It was closed in 1898 and published for nearly 15 years. Eight pictures were published in each issue, and by the time it was closed in 1898, more than 4000 “records” had been published. Dianshizhai pictorial visually reappears the face of great changes in modern China at the end of the 19th century. Because of this, Dianshizhai pictorial is another important material to study the modern history of China from a different perspective, that is, from a visual perspective. With the help of the postcolonial theory of Bhabha·Homi, this paper analyzes the images in Dianshizhai pictorial, and explores the postcolonial nature reflected in the imagination of Shanghai in the late Qing Dynasty. The Shanghai concession described in Dianshizhai pictorial is a space of otherness. This kind of space of integration of eastern and Western cultures can be said to be the third space of post colonialism. The main writers of Dianshizhai pictorial inthe semi colonial pictorial, belittle the main western colonists and turn others into the others, reflecting the subversion and reversal of colonial / colonized relations.
Politik Kartel di Tingkat Lokal: Studi Pemilihan Wakil Gubernur Kepulauan Riau Periode Sisa 2016-2021
Authors: Ammelia Euis , Kosandi Meidi
Published: January 2020

This paper discusses the behavior of political party in Deputy Governor election (Pilwagub) at Riau Islands Province (Kepri) 2017 with rational choice and cartel politics approach. The DPRD of Riau Islands Provincial decision to to choose and assign Isdianto as Deputy Governor requires controversy, it is caused by the domination of one coalition over the other in the 2015 Governor election. This study argues that the motive for power in inter-party relations at the local level, especially those who have seats in Parliament of Riau Islands Province, tends to influence DPRD’s decision. Political parties effort at the local level through electoral changes are characterized by the pragmatism of political parties. The parties that competed in the 2015 Pilgub challenged reconciliation since the 2017 governor election. The findings of this study are those that discuss cartel policy through unseen agreements that are reflected in the DPRD's plenary decision by acclamation.
O DEPENDENTE QUÍMICO RESIDENTE EM COMUNIDADE TERAPÊUTICA: DA TRIAGEM À ADAPTAÇÃO A UMA NOVA VIDA
Authors: Oliveira Bruna Vicente de , Damacena Gabriela Fernandes Carnot , Batista Sonis Henrique Rezende , Almeida Rogério José de
Published: January 2020

Objetivo: compreender os processos e estratégias de triagem, acolhimento e adaptação de indivíduos dependentes de drogas em comunidades terapêuticas. Métodos: trata-se de um estudo transversal descritivo com abordagem qualitativa e exploratória com 43 comunidades terapêuticas que atendem dependentes de álcool e outras drogas e que estão localizadas no município de Goiânia, região metropolitana e cidade de Anápolis. Foram analisadas variáveis constantes de um questionário semiestruturado. As categorias explicativas que emergiram da análise foram: 1) A triagem antes de entrar na comunidade; 2) A adaptação dentro das comunidades terapêuticas; 3) A rotina diária dentro das comunidades terapêuticas. Resultados: Observou-se que no processo de triagem as comunidades investigadas priorizam pela vontade do indivíduo em detrimento das internações compulsórias, objetivando o sucesso terapêutico. Quanto ao processo de adaptação, notou-se que, apesar de algumas variações, todas as entidades pesquisadas reconhecem a necessidade de abordar o período de maneira adequada e acolhedora. Finalizado o período estipulado para a adaptação, os residentes começam a vivenciar de maneira mais intensa a rotina diária da comunidade, bem como suas respectivas normas. Conclusão: A análise das entrevistas possibilitou compreender os impactos desses três processos iniciais na vida do dependente que está buscando um tratamento para sua doença. O entendimento desse fenômeno, especificamente relacionado às comunidades auxilia em uma melhor qualificação desses processos de recebimento do indivíduo, desde o momento em que ele chega à comunidade até sua completa adaptação a rotina estabelecida pela entidade.