bluuebunny/crossref_metadata_2025 huggingface dataset:
Estimation of a Spark Ignition Engine’s Performance Parameters for Ethanol-Gasoline blends using Response Surface Methodology
Authors:   Assistant Professor, department of Mechanical Engineering of Sir. MVIT, Bengaluru, Karnataka, India., KUMR-M KIRAN , MATH Dr.M.C. ,   Associate Professor, department of Thermal Power Engineering, Visvesvaraya Technological University Center for PG Studies, Mysure, Karnataka, India.
Published: August 2019

The Internal Combustion(IC) engine design and growth plays an important role in determining engine performance and emission features. The performance and emission properties of the spark ignition (SI) motor are also more influenced by gasoline ethanol blends. In this work, an effort has been made to optimize the operating parameters in order to minimize BSFC, CO, NO2, CO2, HC and maximize BTE using Response Surface Methodology (RSM). The engine is operated under constant speed conditions with different working conditions for better mixing and distinct additive composition (iso-octane) in the range of 0.3%, 0.4% and 0.5%. The appropriate RSM was used to reduce the use of petrol, its exhausts and maximize Brake Thermal Efficiency. The experimental and statistical approximation demonstrates the rise in Thermal Brake Efficiency (BTE) and decline in Specific Brake Fuel Consumption (BSFC). In addition, the chosen RSM model demonstrates reduced CO, HC, NO2 and CO2 emissions. From the assessment, it is noted that E30 mix with 0.5% additive has better motor efficiency features and reduced emissions at a peak speed of 1800rpm among all test blends with varying proportion of additives.
Adsorption and Statistical Analysis of Textile Effluent Contaminated with Congo red On Orange Peel
Authors:   PG Dept of Environmnetal Engineering, Bapuji Institute of Engineering and Technology, Davanagere, India., Mitadar Shashikumar Prakash , Adi Veena Kumara ,   PG Dept of Environmnetal Engineering, Bapuji Institute of Engineering and Technology, Davanagere, India.
Published: August 2019

In the present study we made an effort to deploy orange peel as adsorbent to remove Congo red dye from a synthetic media. Adsorption of Congo red dye was carried out using Response Surface Methodology (RSM).The influence of various factors such as adsorbent dosage, initial concentration of adsorbate and agitation time on adsorption was analyzed. A total no of 13 runs of experiments were conducted by using the detailed conditions which is designed by RSM based Box-Behnken Design. Contour plots and surface plots were analyzed to know the effect of factors. Activated orange peel could adsorb a maximum of 96.776% of congo red dye. The values observed in the experiment well agreed with the RSM predicted values .Activated orange peel seems to be better adsorbent and RSM could be a great tool undertake adsorption.: Congo Red Dye, Adsorption, Response Surface Methodology, Orange Peel, Box-Behnken Design.
Electroencephalograph Based Control and Feature Extraction Algorithms for Automated Powered Exoskeleton
Authors:   School of Electrical Engineering, VIT University, Vellore, India., Gupta Shivam , Ruban Nersisson ,   School of Electrical Engineering, VIT University, Vellore, India., Kumar Shivam ,   School of Electrical Engineering, VIT University, Vellore, India.
Published: August 2019

Mobility and the posture are the major concern for people suffering from endo skeleton disorders. For such people, exoskeleton provides great support and protection. Mostly Exoskeletons are used for the rehabilitation purposes and can improve the life of an individual who has lost his body part and thus help in assistance. In this article, various technologies which are mainly used for the implementation and performance of exoskeleton are reviewed. The systems are compared based on their accuracy and work reliability. The work discusses the machine used, the movement for which the system is tested, the training algorithms used by different researchers, the input control for the system, controlling element for the system, and their advantages. Various training algorithms are also discussed based on the feature extraction techniques which are used to obtain features from the pre-processed brain signals such as EEG, iEEG, EMG. Applying these features in the training model and robot system and testing of the system in real time or pre obtained data. This research paper is written with the intention to differentiate various techniques used and to analyse the best possible technique for conducting the biomechanical operations processes on the robot and to get the user with the most accurate and reliable system which can be used in daily life. These exoskeletons have their application in the field of medicine , military and even help firefighters for various purposes.
Design of Intelligent CNC system using IEC61499 Function Block
Authors:   Faculty of Manufacturing Engineering, Universiti Teknikal Malaysia Melaka, Melaka, Malaysia., Othman Muhammad Azri , Jamaludin Zamberi ,   Faculty of Manufacturing Engineering, Universiti Teknikal Malaysia Melaka, Melaka, Malaysia., Minhat Mohamad ,   Faculty of Manufacturing Engineering, Universiti Teknikal Malaysia Melaka, Melaka, Malaysia.
Published: August 2019

CNC machine tool is the end mechanism in the process of converting input materials into desired outputs shape reflecting the customer specifications and requirements. All executions and operation processes are fully organized and control by the CNC controller unit. As the brain for the whole system, the architecture and internal structure of the controller plays an important role in realizing intelligent functions of the CNC machine tool systems. Unfortunately, the methodology for CNC machines programming remains relatively unchanged over these years. Traditionally, CNC machine tools have rigid programming structure. Most of the CNC programs are restricted to any modification during machining operation execution. Establishing of STEP-NC as next generation data model lead to huge paradigm shift of future CNC system especially the ways of CNC being programmed. However, as a passive data model, STEP-NC does not have any intelligent functionality. Thus, to overcome these limitations, a new data processing unit for adaptive CNC controller is proposed based on IEC61499 function blocks. The main function of this unit is to establish operational decision-making function at controller level. It generates native information for a particular machine tool. Whereby, the availability of manufacturing resources and machine condition are taken into account. By establishing layered and distributed architecture, the proposed systems are expected to cover up the deficiency of current CNC controller structure. Hence, the portability, interoperability, flexibility and openness of the CNC controller structure can be further improved.
FSO Cooperative System Analysis for DF based Relay
Authors:   Electronics and Communication Department, Indian Institute of Information Technology Guwahati, Guwahati, Assam, India., Anees Sanya
Published: August 2019

This paper presents performance and information theoretic analysis for cascaded free space optical (FSO) communication system using decode-and-forward relaying protocol. Optical links experience Gamma-Gamma distributed atmospheric turbulence, path loss, and misalignment losses. Derived closed-form statistical characteristics of the end-to-end SNR of the system are used for outage analysis, bit-error-rate analysis, and information theoretic analysis of the proposed system, for various modulation schemes and adaptive transmission protocols, respectively. In the performance analysis, impact of misalignment losses and scintillations is seen on various performance parameters and the adaptive modulation schemes using capacity of proposed systems.
Development of Asynchronous Motor Bearing Fault Diagnosis Method using TDA and FFNN
Authors:   Department of Electrical Engineering, Poornima College of Engineering, Poornima University Jaipur, India.., Shrivastava Amit
Published: August 2019

Asynchronous motors (AM) are life line of any process industry. Malfunctioning of AM at any stage of process leads the cost of finish product and decrease the efficiency of plant. Hence detection and diagnosis of AM failure at early stage is essential for timely maintenance and enhance the overall efficiency of the plant. The work present in this paper focuses on the bearing faults of AM. For this purpose experimental setup is developed in laboratory and results are based on experimental study carried out in laboratory by analysing AM generated vibration signals using time domain analysis (TDA) and feed forward neural network (FFNN).
Advanced Network Security Analysis (ANSA) in Big Data Technology
Authors:   Department of Computer Science and Engineering, Jaypee University of Information Technology, Waknaghat, Solan-173234, Himachal Pradesh, INDIA,, Sharma Shivi , Sharma Ashish ,   SAP SD Consultant , IBM Pune, Maharashtra, Saini Hemraj ,   Department of Computer Science and Engineering, Jaypee University of Information Technology, Waknaghat, Solan-173234, Himachal Pradesh, INDIA,
Published: August 2019

Big Data has caught the attention of research, science, and business world due to the advancement in digitalization. With the evolution of the Internet of Things (IoT), data is increasing by massive amounts every day. In the big data environment, securing a large amount of data has become a challenging issue in both security and research industry. In this paper, a framework has been proposed to inspect malignant information and suspicious activities traveling over the networks by utilizing Hive Queries. This framework’s procedure loads activity information into Hadoop Distributed File System (HDFS) through a Hive database thus examining the information. This information is sorted as IP Wise, Port Wise, and Protocol Wise. Hive queries will help to achieve these three goals:- 1) Traffic classification 2) Interrupt Identification 3) analyzing of network traffic. Using this framework provides users’ a benefit of being able to investigate Big Data and helps them to detect attacks. Therefore, this framework will allow prevention of network attacks and enable real-time detection in a Big Data environment.
A Research on Microstrip Ultrawide Band Filters using Defected Ground Structure Techniques
Authors:   Electronics and Communication Engineering Department, College of Engineering, Sir Padampat Singhania University, Udaipur, India., Bohra Hussain , Ghosh Amrit ,   Electronics and Communication Engineering Department, College of Engineering, Sir Padampat Singhania University, Udaipur, India.
Published: August 2019

In this paper, microstrip ultra-wideband (UWB) filters using various defected ground structures are studied. Miniature microstrip filters employed in transceiver of modern wireless communication systems play vital role in controlling and regulating frequency response. DGS techniques are etched in ground plane to design compact microstrip based low pass, high pass, bandpass and band reject filters used in modern wireless systems. Various modified and hybrid defected ground structure techniques are employed to achieve high return loss, low insertion loss, ultra compactness, good selectivity and linearity in filters. Study reveals that the proper selection and incorporation of DGS techniques while designing microstrip ultra wideband filter optimizes the various vital parameters which enhances its performance and practicability for various modern wireless communication applications.
Whale Optimization Based Recommendation System
Authors:   Department of Computer Engineering, BMU Rohtak, Haryana, India, Sharma Bharti , Hashmi Adeel Shiraz ,   Department of Computer Engineering, Jamia Millia Islamia, Delhi, India, Kumar Dr Ankit ,   Department of Computer Engineering, BMU university, Rohtak, Harayna, India.
Published: August 2019

Recommendation System is an information filtering system which seeks to predict the “liking” of a user for an item, with the aim to suggest the user those items which he/she is most likely to select/buy. The focus of this paper is on rating prediction whose main objective is to predict the ratings the current user is going to give to the items which are yet to be rated/viewed by him/her. This paper uses a collaborative filtering based approach for generating recommendation, and the model used is a clustering-based model. In this approach all the existing users are clustered using whale optimization technique, instead of traditional clustering approaches like k-means, EM algorithm, etc. The appropriate cluster is then identified for the active user, and the ratings of the active user are predicted based on ratings given by other users belonging to the same cluster. Different measures like MAE, SD, RMSE and t-value are used for performance analysis of the proposed method and the results obtained are found to be highly accurate.
Performance Evaluation of Naive Bayes Classifier with and without Filter Based Feature Selection
Authors:   Associate Professor, Department of Computer Science and Engineering, Sri Krishna College of Engineering and Technology, Coimbatore, India, Prabha Dr.D. , Subramanian Mr. R. Siva ,   Research Scholar, Anna University, Chennai, Balakrishnan Dr.S. ,   Professor, Department of Computer Science and Engineering, Sri Krishna College of Engineering and Technology, Coimbatore, India, Karpagam Dr.M. ,   Professor, Department of Electronics and Communication Engineering, Sri Krishna College of Engineering and Technology, Coimbatore, India
Published: August 2019

Customer Relationship Ma agement tends to analyze datasets to find insights about data which in turn helps to frame the business strategy for improvement of enterprises. Analyzing data in CRM requires high intensive models. Machine Learning (ML) algorithms help in analyzing such large dimensional datasets. In most real time datasets, the strong independence assumption of Naive Bayes (NB) between the attributes are violated and due to other various drawbacks in datasets like irrelevant data, partially irrelevant data and redundant data, it leads to poor performance of prediction. Feature selection is a preprocessing method applied, to enhance the predication of the NB model. Further, empirical experiments are conducted based on NB with Feature selection and NB without feature selection. In this paper, a empirical study of attribute selection is experimented for five dissimilar filter based feature selection such as Relief-F, Pearson correlation (PCC), Symmetrical Uncertainty (SU), Gain Ratio (GR) and Information Gain (IG).
Merkle Hellman Knapsack Cryptosystem based Cloud Auditing Protocol
Authors:   Assistant Professor Government College of Engineering, Bargur, India., Charles Dr. A.
Published: August 2019

The cloud environment provided the cloud storage services to allow the users for storing, managing and accessing their data through the internet. The user worried about the integrity of data because of their data can be modified by external hackers due to the limited control. The new auditing technology is required for allowing the user to use local storage without worrying about the integrity of the data. An independent entity called Third Party Auditor (TPA) is presented for auditing task rather than putting the burden of task to the user themselves. In our proposed work, the Cloud Auditor (CA) plays the role of monitoring the modifications done to the block by any external hacker if it happens; original data is recovered from its cache log. Every data that transacts between the storage, user and the CA are encrypted with Merkle Hellman Knapsack Cryptosystem based Cloud Auditing Protocol (MHKC-CAP) algorithm. Thus the proposed methodology outperforms the existing algorithms like Message Digest 5 (MD5) algorithm and Advanced Encryption Standard (AES) by means of auditing time around 13 milliseconds and accuracy in terms of False Positive Rate (FPR) and False Negative Rate (FNR) are around 0.67% and 0.5%.
Improved Multiple Gateway Node Based Routing Architecture for Heterogeneous Wireless Sensor Network
Authors:   ME scholar in Electronics and Communication Department at National Institute of Technical Teachers Training and Research (NITTTR), sector 26, Chandigarh., Malhotra Pratima , Sharma Dr. Kanika ,   Assistant Professor in Electronics and Communication Department at National Institute of Technical Teachers Training and Research (NITTTR), Sector 26, Chandigarh.
Published: August 2019

In modern era, with technologies shifting from wired to wireless technologies, Wireless Sensor Networks (WSNs) play an essential role in advancement of technology. WSNs have limited battery .In this paper, we propose Improved Multiple Gateway Node (MGN) based Routing Architecture (IMRA) that increases both network lifetime and stability period of the network and also improves energy efficiency. It uses the technique of load balancing and considers average energy of the network to improve aforementioned parameters. IMRA is event-driven protocol and has four MGNs with unlimited power which makes this protocol efficient for use in disaster prone areas like earthquakes, forest fires etc. saving millions of lives. Wireless Sensor Networks (WSNs) play an essential role in advancement of technology. Various disasters like earthquakes, forest fires, etc. can be sensed in advance using latest technology in WSNs and preventive measures can be taken. IMRA surpasses other protocols by increasing Stability Period, Half Node Dead and Network lifetime by 58.18%, 55.94% and 52.96% respectively as compared to traditional MRA and by 156.99%, 86.2% and 90.12% respectively as compared to Threshold sensitive Energy Efficient Delay aware Routing Protocol(TEDRP).
PARK-A-LOT
Authors:   Computer Science and Engineering Department, Shri Ramdeobaba College of Engineering and Management, Nagpur, India,, Chandak Dr. Manoj B.
Published: August 2019

With the increasing difficulty in finding parking spaces and the increasing need for security, an automated system to guide vehicles to parking will come as rescue. With this project of ours we aim to develop an approach that will allow automated entry to the employee vehicles that are registered with the office. This system will automatically detect if a vehicle has been registered and accordingly open the gates of the institute for the vehicle along with which it will also display and guide vehicles to vacant parking spaces and alternate parking areas in case of occupied parking lots.
Image Distribution with Scalable Access Control for Privacy in Social Network
Authors:   School of Information Technology and Engineering ,Vellore Intitute of Technology ,Vellore, Anand R Dr.Vijay , J Dr.Prabhu ,   School of Information Technology and Engineering ,Vellore Intitute of Technology ,Vellore, P J Dr.Kumar ,   School of Information Technology and Engineering ,Vellore Intitute of Technology ,Vellore, thangam R Prof. Kiruba ,   School of Information Technology and Engineering ,Vellore Intitute of Technology ,Vellore, Selvan Dr. Muthamil ,   School of Information Technology and Engineering ,Vellore Intitute of Technology ,Vellore
Published: August 2019

The pervasiveness of interpersonal organizations has made it less demanding than any time in recent memory for clients parts the photographs, recordings, Different communication like audio, video materials anyone in anyplace. Be that as it may, the simple access of client produced media content additionally realizes security concerns. Customary control of connection components, however the solitary connection strategy only through particular bit of substance, can't fulfill the client protection prerequisites in substantial scale media sharing frameworks. Rather, arranging numerous connection for dimensions benefits at mutual video and audio parts are wanted. In unhandy, this adjusts the guideline for interpersonal organizations in data spread. Then again, it concurs the difficult social Websites with their informal organization clients. Propose a versatile media get to control framework to empower such an arrangement in a protected and productive way. The proposed SMAC framework engaged these adaptable encoded message approach quality based encryption calculation just as a complete key administration plot. Here, give normal evidence along with secure for demonstrate the new framework with their security. Moreover, And also lead escalated investigations cell phones to exhibit its productivity.
Effective Utilization of Quarry Residues and Mineral Admixtures in High Strength Concrete
Authors:   Research Scholar, JNT University, Anantapur, A.P., India., Basha Syed Afzal , Reddy B. Jayarami ,   Professor & HOD, Dept of Civil Engineering, YSR Engineering College of YVU, Prodattur, A.P., India., Sashidhar C. ,   Director, Industrial Consultancy Services, JNT University, Anantapur, A.P. , India.
Published: August 2019

The various requesting utilization of cement is not promptly met with Ordinary Portland cement (OPC) alone. To satisfy up the need and just as guaranteed the green concrete durability, it has ends up important to add mineral increments with the best blend of others by-product as substitution to improve the performance without risking the quality of the concrete. In the construction industry, OPC cement and stream sand are utilized as significant material making it rare and restricted. While, with respect to the cement is notable as the greatest guilty parties for discharging carbon dioxide (CO2). Consequently, incomplete substitution of cement turns into a need just as common sand in concrete by waste material or by-product without bargaining the nature of the finished result. Fractional supplanting with Ground Granulated Blast furnace Slag (GGBS), Silica Fume (SF) fuses with 100% of quarry dust (QD) as sand substitution has been utilized. The utilization of 100% QD with OPC+SF delivered increasingly durable concrete with low chloride ingress and preferred outfitting over with 100% stream sand. Notwithstanding the cost impact advantage, the decrease in exhaustion of stream sand, tending to condition and manageability issues, it is a significant commitment in making green concrete.
Achieve High Compressive Strength and durability of Concrete Made from Recycled Concrete Aggregate
Authors:   Mr. Yash Chhaniyara was born in year 1995 in a small-town Rajkot of Gujarat., Chhaniyara Yash D. , Makwana Prof. Mahesh M. ,   Assistant Professor at the School of Civil Engineering at MITWPU., S. Kulkarni Prof. Dr. Mrudula ,   She is Professor at the School of Civil Engineering at MITWPU Department of Structural Engineering at MIT Pune, India.
Published: August 2019

Growth in the construction industry is growing daily and the demolition of the old structure creates massive quantities of rubbles and from that 30-40% were coarse aggregate. Utilizing of coarse aggregates through recycling helps to give economic and sustainable development. The aim of this study is to achieve high compressive strength with minimum wear effect of new concrete made of recycled concrete aggregate. To achieve aim in this study has been considered high strength of concrete mix i.e.M40, M50 and M60 for compressive strength and for abrasion test, considered mix of M50 and M60. A replacement percentage for the compressive strength test was 0%(normal), 20%, 40%, 60%, and 80% while for abrasion test considering 0%, 20%, 40% and 60% replacement ratio. This research helps to use recycled concrete aggregate in construction sector.
Mobischool School Management System Using Android Application
Authors:   Assistant Professor, Zeal College of Engineering and Research, Pune, Maharashtra, India., Kshirsagar Aniruddha P. , Dhole Shradha K. ,   S/W Developer , JA Solutions . Pravin S. Patil, Assistant Professor, Zeal College of Engineering and Research, Pune, Maharashtra, India., Kokare Rohini B. ,   Assistant Professor, Zeal College of Engineering and Research, Pune, Maharashtra, India.
Published: August 2019

Mobiles are used everywhere. It is beneficial to have android application of School Management system. This application includes database handling. Fully functional, flexible application and friendly interface is required for school management application so that it will be easily handled by parents as well as teachers. It is useful to get immediate alerts to the parents about notices [13]. Paper based activities are very costly and difficult to handle [12].
Structural and Thermal Analysis of Disc Brake With Drilled Holes Of Various Materials
Authors:   Mechanical Engineering, Institute of Aeronautical Engineering, Hyderabad, India, Allamraju K.Viswanath , Ravikumar Arrola ,   Mechanical Engineering, Institute of Aeronautical Engineering, Hyderabad, India
Published: August 2019

The design of braking system of a vehicles is very important in order to minimize the accidents and increase the life span of vehicle, with this motto, in this paper presented the structural analysis, fatigue analysis and thermal analysis of disc brake with drilled holes(DBDH) was done by considering various materials of DBDH such as carbon alloy, steel and carbon steel. The comparison of those materials is studied in various mechanical and thermal properties such as deformation, strain, stress, factor of safety, number cycles under cyclic loading and heat flux. Simulation studies were done in Ansys 14.5 version. It is observed that the heat flow rate is high in carbon alloy and low in carbon steel material of DBDH model. Maximum stress is observed in steel in structural analysis.
ANN Based Block Chain Security Threat Mechanism
Authors:   School of Computer Science and Engineering, KIIT, Deemed to be University, Bhubaneswar, INDIA., Bharimalla Pranab Kumar , Praharaj Souratendu ,   Infosys Limited, Bhubaneswar, INDIA, Dash Satya Ranjan ,   School of Computer Applications, KIIT, Deemed to be University, Bhubaneswar, INDIA
Published: August 2019

Blockchain was first introduced to the world in a form of crypto currency. Since then it’s grabbing popularity day by day and has already started changing lifestyle and business process in some areas. The Blockchain is a data structure, and consists of time-stamped list of blocks, used to create a digitally secured, transactional ledger that, facilitates the process of recording transactions and tracking assets in a distributed business network instead of resting with a single provider. It brings a paradigm shift from the conventional way of storing transactional data, exchanging value, assets decentralizing and sharing data across a large network of untrusted participants without intervention of any centralized trusted agency, but still building a trusted system without compromising data integrity, security and reliability. This paper is based on survey of different consensus mechanisms already available so far and an introduce our own approach to tack one of the security threats by introducing a Neural Network to the consensus mechanism of Blockchain.
The Use Of Microturbines as an Energy Converter For Motor Transport
Authors:   Federal State Unitary Enterprise Central Scientific Research Automobile and Automotive Institute ", Karpukhin Kirill Evgenievich ,   NAMI",   , Moscow, Russia., Terenchenko Aleksey Stanislavovich ,   Federal State Unitary Enterprise Central Scientific Research Automobile and Automotive Institute "NAMI", Moscow, Russia., Kolbasov Aleksey Fedorovich ,   Federal State Unitary Enterprise Central Scientific Research Automobile and Automotive Institute "NAMI", Moscow, Russia., Kondrashov Vladimir Nikolaevich ,   Federal State Unitary Enterprise Central Scientific Research Automobile and Automotive Institute "NAMI", Moscow, Russia.
Published: August 2019

At this stage of the development of vehicles with a combined power plant, one of the areas of development is the study of the introduction of a low-power gas turbine engine, the so-called microturbine, as a converter of thermal energy into mechanical. This solution has numerous positive aspects related to its fuel consumption, small dimensions, high efficiency, as well as a number of performance indicators. In this case, the vehicle is also equipped with a high-speed generator with the goal of converting the mechanical energy of the microturbine into electrical energy. This ensures the microturbine operation in a given range on the characteristic of optimal fuel consumption. The article contains an analysis of the use of microturbine generators in vehicles; some constructive solutions are considered as well. An overview of vehicles with microturbine generators and their comparison with traditional internal combustion engines is given. The movement of the vehicle is carried out by one or several traction motors. More than ten developments of motor vehicles using the microturbine as an additional source of energy for vehicles with traction electric drive are already known in the world, including MiTRE (Microturbine Range Extender). Among such vehicles, one can name the Trolza "Ecobus" buses, Delta Hypercar supercar, Isuzu NPR trucks, Mack Truck, Kenworth.
Sculpture in Modern Environment: Educational Technology
Authors:   Institute of Art Education and Cultural Studies of the Russian Academy of Education, Moscow, Russia., Medkova Elena S.
Published: August 2019

The article looks at the issues connected with art education aimed at training professional sculptors and qualified spectators. It outlines the main problems of sculptural thinking in the Russian mentality. The current situation is described in terms of shifting paradigms related to filling the everyday environment of Russian cities with sculptural objects. The article provides results of the research into preferences of population groups most knowledgeable about art, such as experts in art education, teachers and professional sculptors. A stable tradition of visual thinking rather than using tactile imagery has been identified, as well as preferences for the realistic paradigm of art and academic traditions at all stages of sculptors’ training. At the same time, the article shows positive changes in the social demand towards small-scale sculpture that is actively present in the living environment of a modern person. The main problems of sculptor training at different levels of education are indicated. The author suggests a new model of teaching sculpture based on the actualization of mythological traditions in the cultural paradigm of postmodernism.
The Economic Significance of Statistical Research Activities of Representative Offices of Companies Abroad
Authors:   Doctor of Economic Sciences (Advanced Doctor), Professor of the Accounting, Analysis and Audit Department of the Financial University under the Government of the Russian Federation, Moscow, Russia,, Kosolapova Marina V. , Petrov Alexander M. ,   Doctor of Economic Sciences (Advanced Doctor), Professor of the Accounting, Analysis and Audit Department of the Financial University under the Government of the Russian Federation, Moscow, Russia,, Yshanov Igor G. ,   Ph.D., associate professor of the Accounting, Analysis and Audit Department of the Financial University under the Government of the Russian Federation, Moscow, Russia, Muravitskaya Nataliya K. ,   Ph.D., professor of the Accounting, Analysis and Audit Department of the Financial University under the Government of the Russian Federation, Moscow, Russia, Nurmuhamedova Hursheda Sh. ,   Ph.D., associate professor of the Accounting, Analysis and Audit Department of the Financial University under the Government of the Russian Federation, Moscow, Russia
Published: August 2019

The modern development of economic relations is unthinkable without obtaining data to make an informed and rational business management decision. This situation determines the significance of statistical information and justifies its primary role. This article presents statistical analytics data that discloses activity directions implemented abroad by commercial offices of the Russian Federation. In turn, the study, analysis, and evaluation of statistical data contribute to the formation and implementation of modern methods for determining the effectiveness of the representative offices' activities of the Russian Federation economic entities. Another generally accepted direction of using statistical data information is to improve the investment policy in advanced research, development, and optimization of the business model. Statistical data processing should be prompt, reliable and efficient. The effectiveness of statistical information is considered through the receipt of economic benefits by an economic entity implementing its activities as the representative offices abroad. By means of statistical data, regularities of changes of the social, economic environment and other external factors influencing the development result of an economic entity are determined, which in turn contributes to the development of effective sustainable development policy.
Cost Effective Ant Colony Optimization in Cloud Computing
Authors:   Department of Computer Science, Banasthali Vidyapith, Rajasthan, India., Gupta Dr. Yogesh Kumar , Yadav Chandrakanta ,   Department of Computer Science, Banasthali Vidyapith, Rajasthan, India.
Published: August 2019

Cloud computing is a term for a wide range of developments possibilities. It is rapidly growing paradigm in software technology that offers different services. Cloud computing has come of age, since Amazon's rollouted the first of its kind of cloud services in 2006. It stores the tremendous amount of data that are being processed every day. Cloud computing is a reliable computing base for data-intensive jobs. Cloud computing provide computing resources as a service. It is on-demand availability of computing resources without direct interaction of user. A major focus area of cloud computing is task scheduling. Task scheduling is one among the many important issues to be dealt with. It means to optimize overall system capabilities and to allocate the right resources. Task scheduling referred to NP-hard problem. The proposed algorithm is Cost Effective ACO for task scheduling, which calculates execution cost of CPU, bandwidth, memory etc. The suggested algorithm is compared with CloudSim with the presented Basic Cost ACO algorithm-based task scheduling method and outcomes clearly shows that the CEACO based task scheduling method clearly outperforms the others techniques which are in use into considerations. The task is allotted to the number of VMs based on the priorities (highest to lowest) given by user. The simulation consequences demonstrate that the suggested scheduling algorithm performs faster than previous Ant Colony Optimization algorithm in reference to the cost. It reduces the overall cost as compare to existing algorithm.
Novel Method of FKP Feature Extraction Using Mechanical Variable
Authors:   Department of Computer Science & Applications, Kurukshetra University, Kurukshetra, India., Singh Sukhdev , Kant Chander ,   Department of Computer Science & Applications, Kurukshetra University, Kurukshetra, India.
Published: August 2019

Feature extraction is one of the most essential phase in biometric authentication. It helps in extracting and measuring the biometric image as ideal as possible. These features sets can be used further for image matching, recognition or learning techniques in supervised algorithms. In the proposed work a novel features extraction method for finger knuckle print is explored with comparative analysis. The proposed scheme is based on different mechanical variables and its efficiency also proved by plotting different curves in Matlab R2009a.
Development and Evaluation of Eastern Samar State University-Can-avid Campus Website
Authors:   College of Computer Studies, Eastern Samar State University, Can-avid, Philippines., Quiloña Janice Dyan G. , Afable Shoven M. ,   College of Computer Studies, Eastern Samar State University, Can-avid, Philippines.
Published: August 2019

To provide an avenue for the university where it can share its profile, mission, vision, policies, achievements, capabilities, news and activities in the local, national and international arena of the academe, the IT Development Team of ESSU Can-avid
Nonlinear Analysis of Flat Steel Frame Semi rigid Connection Subjected to Dynamic Loads
Authors:   Hanoi Architectural University, 100000 Ha noi, Vietnam, Nguyen Hong Son , Pham Trung Thanh ,   Vietnam Institute for Bulding Science and Technology, Hanoi, Vietnam, Tran Van Quan ,   University of Transport Technology, 100000 Hanoi, Vietnam, Nguyen Quang Hung ,   Thuyloi University, Hanoi, Vietnam.
Published: August 2019

The paper aims to analyze the plastic frame elasticity with a beam-column joint which is a nonlinear semi-rigid linkage, an ideal plastic elastic material model; set up the elastic elastic equation, using the Newmark method to solve the differential equations of oscillating equations with Newton-Raphson iterative method of improvement and programming to determine the internal force and the movement of the frame by the programming language MATLAB program; limit the scope of research on structural problems subject to earthquake load described by acceleration diagram.
Impact of Wind Load on Large Plate Billboards in Vietnam
Authors:   Hanoi Architectural University, Ha noi, Vietnam, Nguyen Le Thuy , Nguyen Hong Son ,   Hanoi Architectural University, Ha noi, Vietnam, Tran Van Quan ,   University of Transport Technology, Hanoi, Vietnam, Nguyen Quang Hung ,   Thuyloi University, Hanoi, Vietnam.
Published: August 2019

The paper presents the analysis of the impact of wind loads on large plate billboards, how to determine and convert input data and repeat cycle conversion ratios in calculating the wind load between Vietnam standards and foreign standards. In addition, the article presents the notes in the calculation according to different standards, thereby giving the process of calculating the determination of wind load according to Vietnam standard TCVN 2737-1995, European standard EN 1991- 1-4 and AmericanASCE / SEI 7-05 standards for large billboard advertising by MathCad calculation software, presenting calculations for a specific billboard, from the results of the presentation, we get some conclusions and recommendations.
Preparation and Characterization of Gel Polymer Electrolyte Based on PAN- NH4CF3SO4 and Nano ZrO2 Filler –Application as an Electrochemical cell
Authors:   Associate Professor in Department of Chemistry, ANRK and Kodad, Suryapet, India., Dr. Hariprasad  , Maragani Dr. Narasimha Rao ,   Professor in Department of Physics, PRIW, and Khammam, India., Kumar Dr. K.Vijaya ,   Professor and HOD of Physics in Dayananda Sagar Academy of Technology and Management, Bangalore., BABU Dr. KARRI SUNIL ,   Associate Professor in Department of Physics, Chaitanya Engineering College, vizag, India.
Published: August 2019

In the present investigation, the Nano Composite Gel Polymer Electrolyte (NCGPEs) based on nano fillers ZrO2, Polyacrylonitrile (PAN), and Ammonium Triflate (NH4CF3SO4) doped at various wt% ratios prepared with the help of solution cast technique. The better amorphous nature observed for the 70PAN:30NH4CF3SO4 composition with addition of 1-4 wt% of ZrO2 nano fillers and structural, complexation studies of NCGPEs were confirmed by XRD technique. The micro structural studies and particle size can be revealed by SEM technique. DC Conductivity studies reveal the ionic conductivity performance on effect of temperature and composition wt% of nano powder. The ionic conductivity studies observed for 70PAN:30NH4CF3SO4 with nano powder ZrO2 concentration ranging from 1-4 wt%. The sample containing 3wt% of ZrO2 exhibits the highest conductivity order of 4.20x10-4 S cm-1 at room temperature (303K) and 4.65x 10-3 S cm-1 at 373K. The cell parameters like Open Circuit Voltage, Short Circuit Current, energy density and power density were perfectly determined which were useful to explain electrochemical cell behaviour.
Ethics in Cloud Computing: Implications for India
Authors:   Ph.D Scholar, Department of Management, Birla Institute of Technology Mesra, Ranchi, Jharkhand, India,, Baral Manish Mohan , Verma Amitabh ,   Assistant Professor, Department of Management, Birla Institute of Technology Mesra, Ranchi, Jharkhand,, Chittipaka Venkataiah ,   Professor, Department of Operations, GITAM Institute of Management, GITAM (Deemed to be University), Visakhapatnam, Andhra Pradesh.
Published: August 2019

Cloud Computing (CC) has drawn the attention in global business level. It is another age of computing systems, progressively creating a promising answer to computing complexity and increasing size of data. Although the evolution has not reached the maturity level but still there is adequate research about this topic. The study is proposed to identify the factors, which influences cloud computing adoption (CCA) in India through ethical context. Research was conducted using methodology of quantitative technique, which was based on study of 149 respondents from different industries in India. A research model was proposed which consisted of 6 hypothesis and then tested through multiple regression methods and factor analysis. The findings of the study shows that reliance on technology, proscriptive pressure and control are significant contributors and functional creep, compliance and educational pressure were insignificant contributors. It classifies probable advantages and probable ethical or moral issues for would be clients, particularly in the field of business.
Upcoding Fraud Discovery in the Economical Fields Using Block Chain Technology
Authors:   Associate Professor, Department of Computer Science and Engineering, PACE Institute of Technology & Sciences, Ongole, A.P., Jyothi E.V.N. , Sailaja S. ,   Associate Professor, Rise Krishna Sai Prakasam Group of Institutions, Ongole, A.P.
Published: August 2019

Discovering the fraud is the most important now a days as it is observed in every sector starting from Banks to schools. Therefore it is significant discover this fraud so that the loss could be zero. Upcoding fraudulence is one kind of fraud observed now days in which the provider gains extra monetary by coding a solution in spite it is taken by the claimer the fraud will claim the insurance one more time without allusion of certified person. Owed to this claimer could misplace assurance still he is endorsed person to increase due to fraud has already claimed the monetary. With the help of expert system and data withdrawal it’s easier to recognize scam. With superior technologies like block chaining it’s easier to detect fraud in the addition of fraud it is also known the history of the fraud. This paper concentrates on up coding Fraudulence discovery using block chain technology.
Passenger Capacity of Underground Metro by the Use of Neural Network Program (NNP)
Authors:   civil department, higher technological institute 10th of Ramadan city,, Eldeeb Mai Moaz , kotb Akram soltan ,   construction building, faculty of engineering and technology Arab academy for science, technology and maritime transport, Cairo, Riad Hany Sobhy ,   Civil Eng. Dept. Ain Shams University Cairo,, Ashour Mohamed Ayman ,   architecture Eng. Dept. Ain Shams University Cairo
Published: August 2019

The present paper deals with studying on (GCUM) by the use of (NNP), consequently, the future passenger fluctuations can be well predicted and it will be helpful to make wise decisions for realizing the most safety and economic future operation.To attain this goal, a methodology was proposed to collect the necessary data and analyze them. These data were applied as the inputs into the Neural Network Program (NNP) for the two (GCUM) lines ‘1’ & ‘2’ to have two models as inputs and outputs, one for the 1st line and the other for the 2nd one, taking only into consideration, the input, and output variables which gave tolerances less 19% than that were obtained by applying excel program. Thus, it is easily to predict the future capacity for any predicted year, and the corresponding headway as well as to prepare an estimated schedule complies with the required future Rolling Stock (RS).
Customer Service Quality Management System
Authors:   Russian State Social University, Moscow, Russian Federation., Dyakonov Mikhail Yu. , Novikov Aleksey Valeryevich ,   “Research Institute of the Federal Penitentiary Service of Russia”, Moscow, Russia; Criminal Law Department of Astrakhan state University, Astrakhan, Russia; Civil Law Department Russian Customs Academy, Lyubercy, Moscow region, Russia., Slabkaya Diana N. ,   Research Institute of the Federal Penitentiary Service of Russia, Moscow, Russia., Balova Suzana L. ,   Financial University under the Government of the Russian Federation, Moscow, Russian Federation., Sekerin Vladimir Dmitriyevich ,   V.A. Trapeznikov Institute of Control Sciences of Russian Academy of Sciences, Moscow., Gorokhova Anna Evgenievna ,   V.A. Trapeznikov Institute of Control Sciences of Russian Academy of Sciences, Moscow, Russia.
Published: August 2019

A service enterprise is considered to be a complex set of material and technical, information, labor, financial and human resources, whose diversity involves the search for ways of rational combination and use them to ensure the achievement of the set goals of the enterprise. Service quality management is one of the types of management activities that arose as a result of the labor division and specialization of enterprise management functions. The aim of the study is to identify the possibilities of designing a Service Quality Management System at the enterprises of the restaurant industry meeting the requirements of ISO 9001.The article shows the relevance of solving the problem of modeling the customer service quality management system based on ISO standards in the enterprise of the restaurant business, as well as analyzes various theoretical approaches to understanding the essence of the service quality management system.To achieve the set goal, a structural and functional model of the customer service quality management system was developed, as well as a model of the staff quality management system.
An Application of Big Data in Social Media Anomaly Detection using Weight Based Technique to Compare Performance of PIG and HIVE
Authors:   Computer Science & Engineering, Medi-Caps University, Indore, India., Mishra Prashant , Rane Asst. Prof. Dheeraj ,   Computer Science & Engineering, Medi-Caps University, Indore, India.
Published: August 2019

Social media is become one of the most popular application. Commonly social media is used for communication and social activities. Thus a significant amount of data is produced in these platforms and handling of these data requires advance data handling techniques thus big data is used to deal with such huge data. On the other hand, now in these days attackers and phishers are also active on social media. These attackers create fake profiles and trap the users to still their confidential and sensitive information. In this context the fake profiles are one of the serious problems in these days in social media. In this presented work a new technique for detecting the social media anomaly profile is prepared and their implementation is described in this paper. In addition of that the experimental analysis on real twitter profiles are also performed for 1200 profile features. To process these data two BIG data utilities are used namely PIG and HIVE is used. These profile features are collected from the live twitter data and evaluation of different profiles. The experimental results are compared for both the utilities (i.e. PIG and Hive) to demonstrate the successfully identification of legitimate and anomaly profiles.