bluuebunny/crossref_metadata_2025 huggingface dataset:
Critically Evaluating SWIFT’s Strategy as a Monopoly in the Fintech Business
Authors:   BBALLB, O.P. Jindal Global University, Sonipat, India., Dasgupta* Dr. Sabyasachi , Grover Dr. Priya ,   BBA, Symbiosis Centre for Management Studies, Noida, India.
Published: October 2019

The objective of this paper is to understand how SWIFT has become the monopoly in terms of the digital payment transaction industry. The methodology adapted in this paper is qualitative secondary research case study method. The study undertook a literature review analysis where the literature of more than fifty research papers and reports were analyzed and themes were generated. Hence twelve such themes evolved and then thematic content analysis was executed through grounded theory method. The reliability of the data source mentioned were taken from relevant organizations involved in cross border payments and validation of the reports were done by experts in this field of financial ecosystem. SWIFT still enjoys monopoly in the market in terms of its huge network and the number of banks it partners across 200 + countries in the world. But the new block chain technology launched by Ripple and Bitcoin and other small start-ups has posed a challenge to the existing traditional cross border payment system of SWIFT. Block chain has a peer-to-peer communication with no intermediary network required. It involves a simple transaction charge with the flexibility to share documents over network for better transparency. But SWIFT having a legacy incredibility and trust can ensure more reliable services to the businesses in cross border payments.
Phases of Developing Artificial Intelligence and Proposed Conversational Agent Architecture
Authors:   Assistant Professor, Department of CSE, Mahatma Gandhi Institute of Technology, India., Deepika* D. , Kumar A Krishna ,   Assistant Professor, Department of ECE, Chaitanya Bharathi Institute of Technology, India., Ayyavaraiah Monelli ,   Assistant Professor, Department of CSE, Annamacharya Institute of Technology and Sciences, India, Sriramoju Shoban Babu ,   Research Scholar, Kalinga University, India
Published: October 2019

AI has actually required the advancement of numerous improvements and also expansions. Amongst the most effective of these are the strategies of computational logic. This paper reviews the purpose for these anxieties, highlighting the certain attributes of Artificial Intelligence and also contrasting previous surges of automation and robotization with the existing improvements implemented through a wide-spread adoption of Artificial Intelligence.
A Hybrid Clustering Data Mining Technique (HCDMT) for Predicting SLE
Authors:   Research Scholar and Assistant Professor, PG and Research Department of Computer Science, H.H. The Rajah’s College (A), Pudukkottai, Tamilnadu, Malarvizhi* Ms. A. , Ravichandran Mr. S. ,   Assistant Professor and Head, PG and Research Department of Computer Science, H.H. The Rajah’s College (A), Pudukkottai, Tamilnadu
Published: October 2019

SLE is an auto immune and complex disease. Predicting Systemic Lupus Erythematosus (SLE) is significantly challenging due to its high level of heterogeneity in symptoms. There is a limitation on the tools used for predicting SLE accurately. This paper proposes a machine learning approach to predict the disease from SLE data set and classify patients in whom the disease is active. The data purified and selected for classification improves the accuracy of the proposed method called HCDMT (Hybrid Clustering Data Mining Technique), an amalgamation of CART and k-Means, was evaluated on SLE data. It was found to predict above 95% of SLE cases.
An affordable solution to V2V Communication using XBee
Authors:   Associate Professor Senior Scale, MAHE Dubai, Dudhe* Dr. Ravishankar , Matias Nathan ,   undergraduate ECE student at Manipal Academy of Higher Education Dubai., Jowkar Ali Mohammad ,   undergraduate mechatronics student at Manipal Academy of Higher Education Dubai., Dsouza Aaron Anthony ,   undergraduate ECE student at Manipal Academy of Higher Education Dubai.
Published: October 2019

This paper proposes the creation of a platform- agnostic Vehicle to Vehicle (V2V) communication system that combines a GPS module, XBee-PRO 900HP ® and Raspberry Pi 3 Model B+ Single Board Computer (SBC) to create a low-cost V2V solution. The choice of XBee® enables the use of Digi Internationals’ proprietary DigiMesh® protocol, which creates an ad-hoc mesh network. Using the XBee® devices data (longitude, latitude, speed, heading) obtained from the GPS modules can be shared between the vehicles (nodes). For testing purposes, the system was programmed in python with a local SQLite database used to store the obtained data. This approach allows basic V2V communication between devices with different operating systems if a compatible XBee® device is attached to the SBC.
Design of an Intelligent Management System for Agriculture Monitoring Based on the Internet of Things
Authors:   Assistant Professor, Dept. of ECE, Vardhaman college of Engineering (autonomous) shamshabad-501218, Hyderabad, India., Priyanka* J Swetha , Parimala T ,   Student, Dept. of ECE, Vardhaman college of Engineering (autonomous) shamshabad-501218, Hyderabad, India.
Published: October 2019

Water is the significant resource in human life. Around 80 % to 90 % water utilized in agriculture field. As because of step by step development in maturation and populace water utilization is additionally increments. There is a challenge before each nation to lessen the ranch water utilization and give new and sound nourishment. Today robotization is one of the significant jobs in human life. The framework isn't just gives comfort yet in addition diminish vitality, proficiency and efficient. At whatever point there is change in warmth, moistness and current status of downpour of the environment these sensors identifies the modification in temperature and stickiness and gives a punctuate sign to the raspberrypi. Presently a day the enterprises are utilizing a computerization and control machines which are high in expense and not appropriate for utilizing in a ranch and nursery turf. So in this work we structure a savvy water system innovation dependent on IOT utilizing Raspberry pi. The framework can be utilized to organize the water engine consequently and can likewise screen the development of plant by utilizing webcam. We can observe live spouting of ranch on mobile phone using machine application by using Wireless-Fidelity sort out. Raspberrypi is the essential heart of the general framework.
Self-Heating Effects in SiGe Heterojunction Bipolar Transistor with Different Ge Grading Profile
Authors:   Department of Electronics and Communication Engineering, Sambalpur University Institute of Information Technology, Jyoti Vihar, Burla, Sambalpur, Odisha - 768019, India,, Jena* M. R. , Panda A. K. ,   Department of Electronics and Telecommunication Engineering, National Institute of Science and Technology, Berhampur 761008, Odisha, India, Dash G. N. ,   Electron Devices Group, School of Physics, Sambalpur University, Jyoti Vihar, Burla, Sambalpur768019, Odisha, India
Published: October 2019

A comparative account of self heating effect of four SiGe HBTs with different Ge grading profiles, designated as Hybrid Trapezoidal (HT), Symmetrically Triangular (ST), Linear Increasing (LI), and Conventional Trapezoidal (CT) with maximum Ge contents of 20%, is presented. Based on an experimentally validated model of the Silvaco TCAD tool, the properties of the four HBTs are simulated. It is observed that both self heating and local temperature increase due to higher device power dissipation. The effect of energy balance and non iso thermal energy balance effect is observed in SiGe HBT with different Ge base profile have been studied in terms of DC, AC, and RF performances and compared .
Assessment of Reinforcement Corrosion in High-Filled Ash-Containing Concrete
Authors:   Doctor of Science, Professor, Research and Innovation Deputy Head, Tashkent Institute of Railway Transport Engineers, Tashkent, Uzbekistan., Adylkhodzhaev* Anvar Ishanovich , Muminovich Makhamataliev Irkin ,   PhD of Technical Sciences, Professor of the Tashkent Institute of Railway Transport Engineers, Tashkent, Uzbekistan., Tsoy Vladimir Mixaylovich ,   Doctor of Science, Tashkent Institute of Railway Transport Engineers, Tashkent, Uzbekistan., Adilbaevich Turgaev Jambul ,   PhD of Technical Sciences, Associate Professor,Tashkent Institute of Railway Transport Engineers, Tashkent, Uzbekistan., Sharifboevich Ruzmetov Fazliddin ,   PhD of Technical Sciences,Tashkent Institute of Railway Transport Engineers, Tashkent, Uzbekistan
Published: October 2019

Article considers ways to improve the durability and operational characteristics of reinforced concrete structures designed for railway transport by adding active mineral additives such as fuel ash and other chemical modifiers.
Big Data Processing System for Diabetes Prediction using Machine Learning Technique
Authors:   Department of Computer Science, GITAM, Visakhapatnam, A.P, India, Suvarnamukhi* B. , Seshashayee M. ,   Department of Computer Science, GITAM, Visakhapatnam, A.P, India
Published: October 2019

Diabetes is one of the threatening diseases to the entire mankind, though it is not fatal. Irrespective of the presence of several existing approaches for diabetes prediction, big data based diabetes prediction is quite rare. The applicability of the proposed work is wider because, medical records from different sources are extracted and the necessary attributes meant for predicting diabetes alone are processed. The goal of this work is attained by different phases such as data collection, pre processing, attribute selection and prediction. The diabetes prediction is carried out by Extreme Learning Machine (ELM) classifier. The performance of the proposed approach is analysed by varying the classifiers and the existing approaches in terms of disease prediction accuracy, precision, recall and time consumption. From the experimental results, the efficiency of the work is proven.
System of Cryptographic Protection of Information Based On Deterministic Chaos
Authors:   PhD in technical sciences, Z. Aldamzhar Kostanay Social and Technical University, Kostanay, Kazakhstan., M. F*. Baimuhamedov , S.K. Atanov ,   PhD in technical sciences, professor, L. Gumilev ENU, Astana, Kazakhstan, K.M. Zhunusov ,   PhD in Technical Sciences, Associate Professor, Head of the Department of Information Technology and Automation M. Dulatov KEEU, Kostanay, Kazakhstan, A.A. hikeyev ,   PhD in technical sciences, dean of the faculty of information technology A.Baitursynov Kostanay State University, Kostanay, Kazakhstan., A.U. Bugubaeva ,   PhD in Agricultural Sciences, Deputy Head of the Regional “Smart Center” of A.Baitursynov Kostanay State University, Kostanay, Kazakhstan, A.G. Bulaev ,   PhD in biological sciences, Head of the Laboratory of Chemolithotrophic Microorganisms, Russian Federation.
Published: October 2019

In this paper we present a software system for cryptographic information protection based on deterministic chaos. The program system functionality includes encryption and decryption of text and graphic information on the basis of a random number generator, which is played by the Lorentz attractor. The use of an attractor in this program system guarantees randomness and absolute randomness when issuing numbers, limited only by the initial parameters. It is also necessary to transfer encryption parameters, excluding the possibility of its interception, because Encryption parameters are used in the program as decryption keys. After the process of text encryption, the program performs a frequency analysis of the input and output files. Accordingly, the frequency of a certain group of letters, which is vulnerable to frequency analysis, must be clearly expressed in the input file. In the output file, the frequency should be stable and uniform, thereby proving the effectiveness of encryption.
Bayesian Localized Energy Optimized Sensor Distribution for Efficient Target Tracking
Authors:   Assistant Professor, Department of Computer Science & Engineering, Bharathidasan University, Tiruchirappalli, India,, Sumathy* Dr. P. , Alonshia S. ,   Research Scholar, Department of Computer Science & Engineering, Bharathidasan University, Tiruchirappalli, India
Published: October 2019

In wireless sensor network application, the localization of nodes are carried out for extended life time of the node. Many applications in wireless sensor network perform localization of nodes over an extended period of time with energy variance. However, optimal selection algorithm poses new challenges to the overall transmission power levels for target detection, and thus localized energy optimized sensor management strategies are necessary for improving the accuracy of target tracking. In this work, it is proposed to develop a Bayesian Localized Energy Optimized Sensor Distribution (BLEOSD) scheme for efficient target tracking in Wireless Sensor Network. The sensor node localized with Bayesian average scheme thatestimates the sensor node’s energy are optimized as per data transfer capacity verification. The Bayesian average energy level of the sensor network is compared with the energy of each sensor node. The sensor nodes are localized and energy distribution based on the Bayesian energy estimate for efficient target tracking. The sensor node distribution strategy improves the accuracyto identify the targets effectively. Experiments are conducted using simulation of WSN by varying number of nodes, energy levels of the node and target object density using the Network Simulator Tool (NS2) The proposed BLEOSD technique is compared with various recent methods by evaluating accuracy of target tracking, energy consumption rate, localized node density and time for target tracking. The experimental results shows that the performance of BLESOD is more encouraging compared to contemporary methods.
Smart Transportation Management Planning to Reduce Surface Vehicle Pressure for a Better Urban Design of Howrah Municipal Corporation Area
Authors:   Department of Geography, Asutosh College, University of Calcutta, Kolkata, India, Paul* Prathama , Datta Joydip ,   Department of Computer Science Engineering, NIIT University, Neemrana, India., Poddar Sayanti ,   Department of Geography, Asutosh College, University of Calcutta, Kolkata, India., Haq Mohd Anul ,   Department of Computer Science Engineering, NIIT University, Neemrana, India.
Published: October 2019

The smallest district of West Bengal with great potential of growth, is highly influenced by its location on the of Kolkata, Howrah Municipal Corporation area faces the western bank of river Hooghly, just opposite to Kolkata, is the Howrah city. This city is growing since its inception and became an important part of the Kolkata conurbation. Transport infrastructure and services provide the basic framework for its regional development than other factors of development. From the last two centuries, the on-going transformation of the land use pattern of this district has been highly influenced by the transport development. The establishment of Howrah Railway Terminus (Government of West Bengal, 1967) was the main push factor of the then industrial sector in 1854. But the growing urbanization of the city nowadays pressurizes the man-land ratio which directly affects infrastructural sectors like transport. The existing road transportation system, railway networks, ferry system become unable to handle the pressure mainly during office hours on weekdays. Being a neighbour zone problem related to the transport and road pressure in rush hours. The metro service in Howrah Maidan is already started (2016), which is connected with Kolkata metro networks to reduce the surface transport pressure of the Howrah Municipal area. But still it is just at the foundation stage and only one connected node is not sufficient for the entire Howrah Municipal Corporation area. In this paper, we are going to propose for management of vehicles, probable new transport routes and auxiliary transport system to be a solution to overcome this problem on the basis of people's perception through our study.
Different Solutions to Routing Attacks in MANET
Authors:   Usturge-Nandgave Research Scholar, CSE Department KL University, Mrs. Sunita*  , Pavankumar Dr. T. ,   Professor CSE Department, KL University
Published: October 2019

MANET doesn’t need any infrastructure; it is multi-hop network of mobile nodes. Each node can move freely at any direction. We can use wireless devices such as mobile, PDA, tablet, Laptop etc. anywhere at any time. MANET with mobility feature has several challenges, such as dynamic topology, bandwidth constraints and limited battery power etc. Ultra Wide Band MANET has applications in variety of fields such as high bandwidth wireless network for home and offices. UWB can be used in entertainment and emergency services, military communications. UWB MANET nodes are dynamic and every node acts like a router, due to changing topology UWB MANET is vulnerable to malicious attack. Routing attack becomes one of the special problem in UWB MANET several routing protocol AODV, AOMDV, CLSAODV are in existence. All these protocols have limitations one can secure route but not communication data. Proposed protocol will provide both routing and communication security. This work presents a detailed survey on different routing attacks and solutions to these routing attacks.
Application of Block chain in Cloud Computing
Authors:   Business Intelligence Architect, Alpha Clinical Systems Inc, USA., Sarmah* Simanta Shekhar
Published: October 2019

Blockchain technology is recent and eminent financial technology that completely transform the business transactions. It’s a decentralized network, that support and employ variety of cryptography models. This robust and flexible secured transactions is being integrated with another eminent computing paradigm, cloud computing. In this paper, we make an attempt to review about the application of blockchain in cloud computing system. Firstly, the concept of blockchain is briefly discussed with their advantages and disadvantages. Second, the concept of cloud computing is briefly demonstrated with blockchain technology. Finally, prior papers are reviewed and presented in tabular form. It dictates that the research gaps, still, pertains in field of blockchain based on cloud computing systems. This paper assists the upcoming researchers in this field for designing novel secured models.
Exploratory Data Analysis using Python
Authors:   Asst. Professor, Dept. of Computer Science, MITS school of Biotechnology, Utkal University, Bhubaneswar, India., Sahoo* Kabita , Samal Abhaya Kumar ,   Professor, Dept. of Comp. Sc. & Engg., Trident Academy of Technology, Bhubaneswar, India., Pramanik Jitendra ,   Asst. Professor, Centurion University of Technology and Management, Odisha, India., Pani Subhendu Kumar ,   Associate Professor, Orissa Engineering College, Bhubaneswar, India.
Published: October 2019

Data need to be analyzed so as to produce good result. Using the result decision can be taken. For example recommendation system, ranking of the page, demand fore casting, prediction of purchase of the product. There are some leading companies where the review of the customer plays a great role to analyze the factor which influences the review rating. We have used exploratory data analysis (EDA) where data interpretations can be done in row and column format. We have used python for data analysis. it is object oriented ,interpreted and interactive programming language. it is open source with rich sets of libraries like pandas, MATplotlib, seaborn etc. We have used different types of charts and various types of parameter to analyze Amazon review data sets which contains the reviews of electronic data items. We have used python programming for the data analysis.
Control of Variable-Speed Variable-Pitch Wind Turbines using Mpc and Qft
Authors:   M. Tech (student), Dept of Electrical Engineering, JNTUA, Anantapur, AP, India., Devi* Y. Bharathi , Kumar P. Bharat ,   Lecturer, Dept of Electrical Engineering, JNTUA, Anantapur, AP, India., Sujatha P. ,   Professor, Dept of Electrical Engineering, JNTUA, Anantapur, AP, India.
Published: October 2019

Tracing of operating point where maximum power is extracted, regulation of power and speed are the major control objectives for the main component of WECS i.e., wind turbine. A controller with objective designed for one operating region may not sustain better performance in any other operating region. To overcome such issues and achieve improved nature of performance in any operating region using a new advancement in controller with future prediction capability and thus attain the required control objectives. In this work, such objectives are achieved by using continuous-time multi model predictive control and Quantitative Feedback Theory control (QFT). Both the controllers’ performance is compared using simulink studies for a wind turbine model. Simulation results will show the performance of the above mentioned control scheme. The entire simulation work will be carried out on MATLAB/Simulink environment.
Crisis of German Policy of Multiculturalism: Indicators, Socio-Political Consequences, Ways of Settlement and Development Prospects
Authors:   Russian State Social University (RSSU), Moscow, Russian Federation., Avtsinova* Galina Ivanovna
Published: October 2019

The article analyzes the main problems faced by German society in the process of increasing the number of migrants: below-average employment; dependence on social benefits; above-average fertility; increase in crime rates, etc. The authors state that the overwhelming majority of migrants, contrary to the expectations of German authorities, do not share the Western European system of values: democratic foundations of society, law-abiding, cultural and religious diversity, etc. On the contrary, cultural and spatial isolation increased the phenomenon of parallel societies living by their own laws and traditions. The article identifies the reasons for the failure of idea and policy of peaceful existence in the format of integration without assimilation. The main flaw in the German migration policy is its fragmented and inconsistent nature. Following a number of researchers, the authors characterize this approach as imitational multiculturalism. The article also proposes a series of measures that can mitigate the effects of multiculturalism policies.
An Ann Simulation of Single Server with Infinite Capacity Queuing System
Authors:   Department of BSH, GIET University, Gunupur, India., Sundari M* Sivakami , S Palaniammal ,   Principal and Professor, Department of Mathematics, Sri Krishna Adithya College of Arts and Science, Kovaipudur, Coimbatore, India.
Published: October 2019

Successful formulation of queuing models depends on arrival rate, nature of waiting in queues, type of service and customer leaving the system depends on type of arrival, nature of service, number of servers deputed, type of queues, number of customers approaching for service in the system and delay. Kendall notations are popularly used for designating the queuing models like M/M/C/E/D. Various mathematical models have been developed to solve the queuing problem analytically. However solving queuing models with power of computers is the new area of research and this work intends to develop single server infinite capacity queuing system using Artificial Neural Network(ANN). The results of simulation are compared with that of analytical method.
Machine Classification for Suicide Ideation Detection on Twitter
Authors:   PG Scholor, M.Tech, Department of Computer Science and Engineering, Gokaraju Rangaraju Institute of Engineering and Technology, Affiliated to JNTUH, Hyderabad, India., Manisha* Maidam , Kodali Dr. Anuradha ,   Professor, Department of Computer Science and Engineering, Gokaraju Rangaraju Institute of Engineering and Technology, Affiliated to JNTUH, Hyderabad, India, Srilakshmi V. ,   Assistant Professor, Department of Computer Science and Engineering, Gokaraju Rangaraju Institute of Engineering and Technology, Affiliated to JNTUH, Hyderabad, India.
Published: October 2019

The tremendous rise in technology and social media sites enabled everyone to express and share their thoughts and feelings with millions of people in the world. Online social networks like Google+, Instagram, Facebook, twitter, LinkedIn turned into significant medium for communication. With these sites, users can generate, send and receive data among large number of people. Along with the advantages, these platforms are having few issues about its user safety such as the build out and sharing suicidal thoughts. Therefore, in this paper we built a performance report of five Machine Learning algorithms called Support Vector Machine, Random Forest, Decision Tree, Naïve Bayes, and Prism, with the aim of identifying, classifying suicide related text on twitter and providing to the research related to the suicide ideation on communication networks. Firstly, these algorithms identify the most worrying tweets such as suicide ideation, reporting of suicidal thoughts, etc. Also, find outs the flippant to suicide. Along with ML classifiers, One of the most powerful NLP technologies i.e: Opinion summarization is used to classify suicidal and non-suicidal tweets. The outcome of the analysis representing that Prism classifier achieved good accuracy by observing emotions of people and extracting suicidal information from Twitter than other machine learning algorithms.
Hierarchially Distributed Data Matrix Scheme for Big Data Processing
Authors:   P.G.Scholar, Mtech-Computer Science and Engineering,Department of Computer Science and Engineering,GRIET,Hyderabad,India, reddy* G.Sirichandana , Rao Dr.Ch .Mallikarjuna ,   Professor of CSE Department of Computer Science and Engineering, GRIET,Hyderabad,India
Published: October 2019

MapReduce is a programming paradigm and an affiliated Design for processing and making substantial data sets. It operates on a large cluster of specialty machines and is extremely scalable Across the past years, MapReduce and Spark have been offered to facilitate the job of generating big data programs and utilization. However, the tasks in these structures are roughly described and packaged as executable jars externally any functionality being presented or represented. This means that extended roles are not natively composable and reusable for consequent improvement. Moreover, it also impedes the capacity for employing optimizations on the data stream of job orders and pipelines. In this article, we offer the Hierarchically Distributed Data Matrix (HDM), which is a practical, strongly-typed data description for writing composable big data appeals. Along with HDM, a runtime composition is presented to verify the performance of HDM applications on dispersed infrastructures. Based on the practical data dependency graph of HDM, various optimizations are employed to develop the appearance of performing HDM jobs. The empirical outcomes show that our optimizations can deliver increases of between 10% to 60% of the Job-Completion-Time for various types of applications when associated with the current state of the art, Apache Spark.
Pattern of Pressure Distribution on the Car Seat Under Static Condition and Its Relationship with Driving Posture
Authors:   Center for Materials Engineering and Smart Manufacturing (MERCU), Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, 43600 Bandar Baru Bangi, Selangor, Malaysia., Khamis* Nor Kamalian , Tee Ng Chun ,   Center for Materials Engineering and Smart Manufacturing (MERCU), Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, 43600 Bandar Baru Bangi, Selangor, Malaysia., Mat Tahir Mohd Faizal ,   Center for Integrated Design of Advanced Mechanical Systems (PRISMA), Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, 43600 Bandar Baru Bangi, Selangor, Malaysia, Sabri Nabilah ,   Center for Materials Engineering and Smart Manufacturing (MERCU), Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, 43600 Bandar Baru Bangi, Selangor, Malaysia
Published: October 2019

Assessment of sitting condition on the car seat is important as the driver requires to remain seated while maneuvering the car. The seating situation with relatively restricted position and posture can lead to discomfort and fatigue among drivers. When the driver is getting fatigue, it may reduce the performance, and hence increase the risk of road accident. Up to this date, numerous study were conducted to solve this issue. However, majority of these studies performed the study in the laboratory. Furthermore, majority of the experiment were not used the actual car and provide clear interaction between driving posture and pressure distribution pattern. Hence, this study aims to determine the onset level of driver’s condition in term of discomfort rating scale and pressure distribution on the car seat under static condition by using actual car. Forty-four participants involved in this study by integrating discomfort rating assessment for the subjective evaluation and Pressure Sensor for the objective assessment. There were two main sections for subjective assessment that required the participant to provide the feedback on general discomfort level and body part discomfort while seating. Meanwhile, objective assessment used pressure map by Tactilus with 32 x 32 sensor matrix. All participants were required to sit on the car seat for five minutes. Findings showed that the driver’s discomfort and pressure pattern increased with time. In addition, the peak pressure distribution was found at the right buttock of the participant. Driving posture also influence the pattern of pressure distribution. This study provides a guideline for the automotive manufacturer to provide the optimal design of the car seat by maximizing the seat materials in term of quantity and quality with the highest pressure distribution levels. This adjustment can help to minimize the load concentration by providing a good pressure distribution.
Technology for Assessing the Efficiency of Housing Fund Reproduction
Authors:   Industrial University of Tyumen, Tyumen, Russia, Shestakova* Alena Petrovna
Published: October 2019

In the article, the author presents an original technology for assessing the efficiency of housing fund reproduction. According to the presented methodology, the author suggests assessing the efficiency of housing fund reproduction based on two aspects: first, the indicator of condition, which is an integral indicator determined based on a group of aggregated indicators related to main directions of housing market development; second, the indicator of dynamics – a growth coefficient calculated as a geometric mean of growth coefficients in social, technical, investment and market indicators. To interpret and visualize obtained data concerning integral indicators assessing the efficiency of housing fund reproduction, the author has upgraded the Harrington scale by supplementing it with values of the reviewed ranges of the average growth coefficient, which characterizes the pace of housing fund reproduction. This upgrade has allowed the author to transform the scale into a two-dimensional matrix and to highlight efficiency areas in it, namely high, above-average, below-average and low, which are recommended for the assessment of reproductive activities on federal, regional and municipal levels. The visualization has helped the author build a development trajectory for housing fund reproduction within certain chronological frames based on the aggregate of objects under study.
Experimental Examination of Tool Wear During Turning of Ti-Grade 2 Alloy in Dry and Minimum Quantity Lubrication (MQL)
Authors:   ME Scholar, Department of Mechanical Engineering, NITTTR Chandigarh, India., Gangwar* Sukhdev , Rao Dr. P Sudhakar ,   Assistant Professor Department of Mechanical Engineering, NITTTR Chandigarh, India
Published: October 2019

In any manufacturing industry cost and productivity are the major concerns to be taken care. There are several factors which can be used to control these factors and while it comes to machining tool wear plays a major role in deciding the productivity and cost of the machining process. Recently many studies have been done on the different alloys of titanium and it is found to be very useful and difficult to machine material as well. In this work turning of one of the titanium alloys is used to study the tool wear behavior during dry and minimum quantity lubrication (MQL) machining conditions. In the current work tungsten carbide (WC) insert is used for machining process. After the machining Taguchi’s analysis is used to analyze the results obtained after the machining. In this work spindle speed, feed, and depth of cut are taken as the input parameters along with the machining condition. From the results it is found that MQL provides the better results to minimize the tool wear.
Chemical Formula Encryption - using Hamiltonian Circuits and Graph Valued Functions
Authors:   Department of Mathematics,Voorhees College,Vellore, India, Jasmine Annie , Yamuna* M. ,   Department of Mathematics, SAS, VIT University, Vellore, India, Bibi K.Ameenal ,   Department of Mathematics, D.K.M. College for Women, Vellore, India
Published: October 2019

The ever expanding nature of graph theory has made it a convenient tool for a wide range of practical applications. This study prescribes an algorithmic approach of cryptographic decoding of chemical formula using Jump graphs and Line graphs. Hamiltonian graphs are used as the key for encryption and decryption.
Enhanced Text Mining Methodology in Social Media Platform
Authors:   Dept. of CSE, Sri Venkateswara College of Engineering (SVCE), Tirupati, Andhra Pradesh, India., Kumar* K. Manoj , Sandeep T.S. ,   Dept. of CSE, S V Engineering College (SVEC), Tirupati, Andhra Pradesh, India., Kumar G.Sunil ,   Dept. of CSE, S V Engineering College (SVEC), Tirupati, Andhra Pradesh, India., Anusha K. ,   Dept. of I.T, S V Engineering College (SVEC), Tirupati, Andhra Pradesh, India.
Published: October 2019

For past few years, the World Wide Web has turned into an immense wellspring of client produced content and opinionative information. Utilizing web-based life, for example, Instagram, Facebook, twitter, etc., users share their views and feelings in an advantageous manner. Web-based social networking, for example, Instagram, Facebook, twitter, etc., where a huge number of individuals prompt their individual perspectives in their everyday communication, which may be their assumptions & sentiments about specific thing. These consistently developing emotional information are, without a doubt, an incredibly rich wellspring of data for any sort of basic leadership method. To computerize examination of such information, region of Sentiment Analysis has been developed. It goes for recognizing opinionative information in the Web & characterizing it as indicated by their polarities., regardless of whether they convey a positive/negative implication. Assessment Study is an issue of content-based examination, yet there are a few difficulties that make it troublesome when contrasted with conventional content-based investigation This unmistakably expresses there is need of an endeavor to move in the direction of these issues and it has opened up a few open doors for future research for taking care of refutations, concealed assumptions ID, slangs, polysemy. Be that as it may, the developing size of information requests programmed information examination strategies. In this paper, a literature review on various strategies utilized in the Sentiment Analysis is done to comprehend dimension of the work.
Risk Assessment of Critical Solid Waste Points in Lima, Peru, using the Grey Clustering Method
Authors:   Department of Engineering, Mining Engineering Section, Pontificia Universidad Católica del Perú, Lima, Peru., Delgado* Alexi , Buleje R. ,   Z. Muñoz, B. Reyes, R. Tenorio, Environmental Engineering Program, Universidad Nacional de Ingeniería, Lima, Peru., Carbajal Ch. ,   Administration Program, Universidad de Ciencias y Humanidades, Lima, Peru.
Published: October 2019

The district of Comas in Lima, Peru, is considered one of the districts with the highest number of critical points due to the accumulation of solid waste, causing the proliferation of vectors and the generation of bad smells, producing in this way a negative environmental and social impact on the population and on the landscape characteristics of the environment. The objective of this investigation is to evaluate the risk produced by the critical points of solid waste identified in Tupac Amaru Avenue, in the district of Comas, using the Grey Clustering method. This method allows to consider the uncertainty in the analysis being an adequate methodology for the evaluation of the risk of critical points since it is an issue of high level of uncertainty due to the limited information. The criteria for the evaluation of the risk of the critical points are according to the methodology of the Risk Evaluation Guide of the Ministry of the Environment. Five critical points of solid waste identified in the corresponding Tupac Amaru Avenue in all Zone 1 of the district of Comas were evaluated during 3 days. The results revealed that the three of the monitoring points present moderate risk and two slight risk. This study could be a useful tool for decision making by local and regional authorities to prioritize critical points for eradication and prevention.
PerfSONAR: An Importance of Multi-Domain Network Monitoring
Authors:   Department of Information Technology, Padmabhushan Vasantdada Patil Pratishthan's College of Engineering, Mumbai, India, Ladhe* Seema Anand
Published: October 2019

Research community interacts by means of multi-domain networks. Operating policies, set of hardware components, customers, bandwidth configuration varies from network to network. Hard failures like fiber cut, power failures are easy to detect while soft failures which result in packet loss and degrade the throughput are difficult to detect. Present network monitoring tools are subject to single administrative domain. Hence, network cannot be monitored over multiple domains. Performance focused Service Oriented Network monitoring ARchitecture (perfSONAR) is designed and developed by open source community which supports advanced level of network monitoring across multi domain network. In this paper, I have focused on the importance of multi-domain network monitoring and reviewed the work of perfSONAR proposed by various researchers.
The Vertex Prime Valuation for Jahangir and Theta Graphs
Authors:   Research Scholar, Department of Mathematics, Jawaharlal Nehru Technological University Ananthapur, Andhra Pradesh, India., Lakshmi* R. Anantha , Jayalakshmi K. ,   Associate Professor, Department of Mathematics, Jawaharlal Nehru Technological University Ananthapur, Andhra Pradesh, India.
Published: October 2019

A sequence of instructions which can help to solve a problem is called an algorithm. The reason for composing an algorithm is to reduce the timespan and understanding the solution of problems in simple way. In this paper, vertex prime valuation of the Jahangir graph Jn,m for n ≥ 2, m ≥ 3 and generalized Theta graph θ (l1, l 2, l 3, ..., ln) has been investigated by using algorithms .We discuss vertex prime valuation of some graph operations on both graphs viz. Fusion, Switching and Duplication, Disjoint union and Path union.
IoT Based Home Automation using Computer Vision
Authors:   Professor, ABES Engineering College, Ghaziabad, (UP), India., Kumar* Devendra , Maurya Rajesh Kumar ,   Assistant Professor, ABES Engineering College, Ghaziabad, (UP), India., Dwivedi Kalpana ,   Assistant Professor, ABES Engineering College, Ghaziabad, (UP), India.
Published: October 2019

In this paper we will demonstrates a flexible and dependable home security system with supplementary security using an Arduino microphone, with the ability to connect via Internet Protocol (IP) through local Wi-Fi for remote access and control by an approved user using the app smartphone. IoTs describe the impression of linking and analyzing real-world events using the Internet. The concept can be implemented in our home to create a smart, safe and automated environment. The proposed service, based on IoT, is intended to create intelligent environments using computer vision and NFC computers, which send an online message to the owner in situation of any damage, if necessary raises alarm. Do not assume the power acquired as a result of this system and such an existing system is that warnings from a Wi-Fi-connected system can be accessed from any phone regardless of its eyes, regardless of whether connect phone and internet. The purpose of this model is to ensure a smart and secure environment using latest technology for our home.
Water Quality in Areas Surrounding Mining: Las Bambas, Peru
Authors:   Department of Engineering, Mining Engineering Section, Pontificia Universidad Católica del Perú, Lima, Peru., Delgado* Alexi , Espinoza Alvaro ,   Mining Engineering Section, Pontificia Universidad Católica del Perú, Lima, Peru., Quispe Patrick ,   Mining Engineering Section, Pontificia Universidad Católica del Perú, Lima, Peru., Valverde Pablo ,   Mining Engineering Section, Pontificia Universidad Católica del Perú, Lima, Peru., Carbajal Ch. ,   Administration Program, Universidad de Ciencias y Humanidades, Lima, Peru.
Published: October 2019

Nowadays, it is known that water is a critical issue for human life. For this reason, research in this category is a complex subject. The case chosen for this work is in the district of Tambobamba, Cotabambas province, in the region of Apurimac. This is where Las Bambas mine is operating and the area of influence includes the Challhuahuacho and Ferrobamba rivers. Based on six monitoring points, carried out between February 2017 and March 2019 by ANA, it was possible to know if these rivers would have a low or high degree of contamination. Therefore, the methodology used in this work was the Grey Clustering Method. This method includes vital water parameters established by Peruvian D.S. N° 004-2017-MINAM. The results of these studies show that the Ferrobamba River has a high water quality while the Challhuahuacho River has a poor water quality, which could be associated with spills in the area.
Critical Success Factors and Knowledge Management Process in Indian Nationalised Bank
Authors:   Department of Commerce, DSMNR University, Lucknow, India., Singh* Sanjeev Kumar , Singh Dr. Kaushiki ,   Department of Commerce, DSMNR University, Lucknow, India.
Published: October 2019

Knowledge management is now becoming the driving force for the success of any business. This paper presents the framework for understanding the critical success factor that impact the execution of knowledge management in a bank. We had entered the era where future will depend on the creation, acquisition, integration and application of knowledge at right time to innovate and take competitive edge. Knowledge can be used as asset, resource or strategy. The motivation of this study is to identify the impact of critical success factors on knowledge management process in Indian nationalised banks. The construct identified as critical success factors such as information technologies, leadership in knowledge management, knowledge management culture, and measurement of knowledge management were tested using structural equation model. 236 response were collected from the respondent employed in Indian nationalised bank in Gorakhpur with the help of questionnaire as a data gathering instrument. The finding of the study reveals that all the critical success factors used in the proposed model significantly influence the knowledge management process. Leadership in knowledge management is identified as most important predictor among the critical success factor.
Evaluation of Non-Invasive Measurement of Haemoglobin using PPG in Clinically Ill Pediatric Patients
Authors:   Research Scholar, Department of ECE, Karpagam Academy of Higher Education, Coimbatore, TamilNadu, India., Lakshmi* M. , Bhavani Dr.S. ,   Professor and Head, Department of ECE, Karpagam Academy of Higher Education, Coimbatore, TamilNadu, India., Manimegalai Dr.P. ,   Associate Professor, Department of BME, Karunya Institute of Technology and Sciences, Coimbatore, TamilNadu, India.
Published: October 2019

Non-invasive haemoglobin (SpHb) estimation using Photoplethysmograph signal has gained enormous attention among researches in order to provide an earlydiagnosis to polycythemia, anaemia, various cardiovascular diseases, etc. The primary objective of this work is to evaluate the performance efficiency of SpHb monitoring using PPG in clinically ill pediatric population. PPG signal was obtained from the pediatric patients, and SpHb was calculated from the characteristic features of PPG. Haemoglobin value obtained through venous blood sample was compared with SpHb. Theabsolute mean difference between the SpHb and Hbref was 0.78g/dL (SD 0.99; 0.1 to 4.1).For a statistical analysis of the correlation between SpHb and Hblab, IBM SPSS statistics software was used. Bland-Altman analysis, T-test and Linear regression analysis were further used for finding the agreeability limits. Overestimation of SpHb value was observed for lower Hblab values, and SpHb failed to detect anaemic subjects.
Blockchain Scalability Enhancement using Parallel Miners Selection
Authors:   Department of Computer Sc. & Engineering. Azad Institute of Engineering and Technology, Lucknow, India., Ahmad* Shafeeq , Bharti Ajay Kumar ,   School of Computer Science, Maharishi University of Information Technology, Lucknow, India.
Published: October 2019

Apart from the good utilization of the blockchain, there are different challenges that are there at the blockchain system. The problem is that despite several advantages of a blockchain, the current blockchain networks cannot support at large scale application system. Some of the major problems that blockchain technology suffering from are scalability, privacy, and interoperability. The major issue of blockchain technology is scalability. The problem of scalability means that the capacity to process a transaction on a blockchain is very limited and slow. If we think about financial transactions and we compare the ethereum blockchain or the Bitcoin blockchain to the financial transactions provided by Visa MasterCard or any other centralized company, then we would see a difference between them. The difference is that ten to fifteen transactions per second are performed by blockchain-based decentralized cryptocurrency systems in comparison to several thousand transactions per second by a centralized credit-card system.