bluuebunny/crossref_metadata_2025 huggingface dataset:
Correlation of The Concepts of "Terrorism", "Terrorist Act", and "Act of Terrorism" in Obligations in The Law of Tort
Authors:   Russian State Social University (RSSU), Moscow, Russian Federation, Volkova* Maria Aleksandrovna , Turkin Mikhail Mikhailovich ,   Russian State Social University (RSSU), Moscow, Russian Federation, Kuleshov Georgij Nikolaevich ,   Russian State Social University (RSSU), Moscow, Russian Federation, Bogmatsera Eduard Victorovich ,   Russian State Social University (RSSU), Moscow, Russian Federation
Published: October 2019

The article provides a comparative analysis of the terms "terrorism" and "terrorist act". In order to bring the harm-doers to civil liability, the authors suggest introducing a broader concept of an "act of terrorism". The current legislation provides for various types of liability for harm caused to victims of terrorism. However, civil liability offers a clear list of specific subjects of such liability. For victims to successfully exercise their right to compensation for harm, the authors suggest consistent use of the concepts of "damage", "loss", and "harm". In the research, the authors have answered the following basic question: when and on what grounds the person causing harm to the victims may be held liable for harm caused by a terrorist act. Another question answered was as follows: the existence of what conditions gives rise to such liability.
Impact De-Tarrification in Modeling Motor Insurance Premium in Malaysia
Authors:   Center for Actuarial Sciences Studies, Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA, 40450 Shah Alam, Selangor, Malaysia., Manan* Noraini , Hasan Nurhasniza Idham Abu ,   Department of Business Analytics, Sunway University Business School, Sunway University, No. 5, Jalan Universiti, 47500 Bandar Sunway, Selangor, Malaysia., Hasan Nurhasnira Abu ,   Research Information Services Unit, The New Straits Times Press (M) Berhad, Balai Berita Bangsar, 31 Jalan Riong, 59100 Kuala Lumpur, Malaysia., Jamal Nur Faezah ,   Department of Statistics, Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA, Perak Branch, Tapah Campus, 35400 Tapah Road, Perak, Malaysia., Rahidin Nur Diyana Atiqah Binti Md ,   Center for Actuarial Sciences Studies, Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA, 40450 Shah Alam, Selangor, Malaysia.
Published: October 2019

De-tariffication has become a hot topic for Malaysian motor insurers after effectively implemented on 1 July 2017. Generally, the insurance companies need to set a rating factor for their premium before calculating the price on selected premium. Typically, these rating factors are based on the risk profile of the policyholder. That means, the price of the premium determined by the risk factors from the profile of the policyholder. The aim of this research to investigate the impact after de-tariff implemented among the motor insurance industry. This research also investigates the effect of de-tariff on the Good Service Tax (GST) in the premium calculation. Multiple Linear Regression (MLR) was used to determine the most significant rating factor that influence the calculation of the premium received by the motor insurance industry. Once these k rating factors and parameters are identified, the value of premiums can be calculated by taking into account these rating factors and parameters in the de-tariff formula and comparing with the existing model. The result of the study indicates that de-tariff model has lower premium compared to Malaysia tariff model. Furthermore, GST is also found to have a significant impact on the motor insurance premium, where policyholders are required to pay higher premiums than non-GST premiums. The results will help the insurance companies to find new formulas in considering new rating factors and improve the accuracy of premium calculations.
Development of Entrepreneurship During the Nep Years: Innovation, Forms, Technologies
Authors:   Russian Presidential Academy of National Economy and Public Administration (RANEPA), Moscow, Russia, Shakhov* Oleg Fedorovich , Shakhova Margarita Sergeevna ,   Lomonosov Moscow State University, Moscow, Russia, Rusakova Ekaterina Petrovna ,   Peoples' Friendship University of Russia, Moscow, Russia, Sizova Yulia Sergeevna ,   Plekhanov Russian University of Economics, Moscow, Russia, Ziyadullaev Ulugbek Saidkarimovich ,   Market Economy Institute of RAS, Moscow, Russia; Tashkent State University of Economics, Tashkent, Uzbekistan
Published: October 2019

This paper is concerned with studying the evolution of entrepreneurship during the NEP (New Economic Policy) years and the establishment of new forms of social stratification in Russia. The authors discuss the specifics of entrepreneurship, its scope and sources of capital accumulation in 1921-1925. The proportions of public sector vs. private entrepreneurial enterprises in 1923 are profiled. The evolution of entrepreneurship in urban and rural areas in 1925-1926 is described.
Using Natural and Artificial Intelligence in the Talent Management System
Authors:   Department of Personnel Management and Personnel Policy, Russian State Social University, Moscow, Russia., Vinichenko* Mikhail V. , Rybakova Marina V. ,   Department of Sociology of Management, Lomonosov Moscow State University, Moscow, Russia., Сhulanova Oхana L. ,   Department of State and Municipal Management, Surgut State University, Surgut, Russian Federation., Kuznetsova Irina V. ,   Department of Economic Sociology and Management, Lomonosov Moscow State University, Moscow, Russia., Makushkin Sergey A. ,   Department of Personnel Management and Personnel Policy, Russian State Social University, Moscow, Russia., Lobacheva Anastasia S. ,   Department of Personnel management, State University of Management, Moscow, Russia.
Published: October 2019

The article describes the nature of the use of natural and artificial intelligence in the talent management system in the Moscow Region. The extent of using talent management technology, the tools, the ratio of demand for natural and artificial intelligence in talent management, and the level of employee confidence in man (robot) in management are analyzed. It is revealed and substantiated that personnel management services and the management of companies do not effectively use natural intelligence in the framework of the talent management system, relying on chance and a typical approach. Ambiguity in the assessment of artificial intelligence by both employees and company management was revealed. Increased use and fears of the negative impact of artificial intelligence become opposing factors in talent management. It is proposed to quickly implement advanced technologies based on artificial intelligence, with no harm to the human and his potential. It is also proposed to constantly keep in focus the risks of intercepting initiatives in the management of artificial intelligence and the crowding out of a person from the labor market. The main advantage of the article is an integrated approach to the study of the pattern of using natural and artificial intelligence in the talent management system. The authors considered the issue of identifying the ratio of artificial and natural intelligence in talent management for the first time. The results can serve as a basis for further research in the system of human resource management, as well as good support for making management decisions in the implementation of artificial intelligence in business processes and organization management.
Intelligent Traffic Management System
Authors:   Information Technology student at Dwarkadas J. Sanghvi College of Engineering., Singh* Vedant , Unadkat Vyom ,   Information Technology from the University of Mumbai, Kanani Pratik ,   Pratik Doctoral studies from The MS university of Baroda.
Published: October 2019

Urbanization has presented opportunities of progress which has attracted people from rural areas to the cities thus leading to mass migration. This migration has been going on for decades all around the globe and has reached a point of saturation. The area of the city remains the same but the population density has increased multiple times. Commuting for work is a scene of chaos on the roads. Though there are modes of public transport, roadway is the major mode of commute and the load on roadways is ever increasing due to the rise in population. There is hardly any scope to expand the area of the roadways. The rise in the number of vehicles each year has saturated the capacity the roads were built to carry. This leads to congestion and long hours of traffic on a daily basis which tests the patience of citizens. This provokes the daily commuters to violate the traffic rules which may sometimes amount to grave accidents. Even on Highways, the empty roads entice drivers to experience the thrill of speed overlooking the fact that they are putting themselves at risk. There have been regulations imposed to reduce the chance of an accidents by implementing rules and levying heavy fines on traffic violations. Traffic cameras have been installed all around the city to monitor for traffic violations and get hold of violators. With the technological advancements to store and process large chunks of data efficiently using techniques like Deep Learning and Computer Vision, this paper proposes an automated system to detect Traffic Violations using YOLOv3 to detect and track vehicles and save a snapshot in case a violation is committed.
Nano Nickel Oxide/Vinyl Ester Composites with Improved Mechanical Strength
Authors:   Department of Chemistry, Sri Sairam Institute of Technology, Chennai, India., K* Rajeswari. , G Ramesh. ,   Department of Chemistry, Dr. Ambedkar Government Arts College (Autonomous), Chennai, India., S Guhanathan. ,   Department of Chemistry, Muthurangam Government Arts College, Vellore, India.
Published: October 2019

Nickel(II)oxide is a promising material which suits for many applications due to its speciality characters such as electrochromic, photocatalytic activity, semiconductor nature, etc. But use nickel oxide as filler in polymer composites is not well studied. In this work, nano nickel oxide filled vinyl ester matrix composites were fabricated by reinforcing various weight fractions of filler. The composites so prepared were characterized by mechanical strength analysis, Fourier Transform Infrared Spectroscopy and Scanning Electron Microscopic analysis. Outcome of the analysis showed that addition of nano NiO caused significant improvement in mechanical strength under tensile and bending stress and still further enhancement after the vinyl functionalization of nano nickel oxide.
A Crew Model using GAIIPDM in Repetitive Projects
Authors:   Research Scholar, Mechanical Engineering department, Mar Athanasious College of Engineering Kothamangalam, Mahatma Gandhi University, Kerala, India., Mathew* Jeeno , Paul Dr. Brijesh ,   Professor, Mechanical Engineering department, Mar Athanasious College of Engineering Kothamangalam, Kerala, India.
Published: October 2019

Several indistinguishable or comparative tasks/works in a project are generally alluded to as repetitive projects. A project have group of tasks which is repetitive in nature in all over the project or a similar plan in different positions are commonly known as repetitive project. In repetitive project businesses, distinctive crew choices are accessible for each task, and selecting the best choice to a task is a noteworthy test for administrators of a project. Since acquiring optimum results is found computationally escalated for this type of problems, a modified Genetic Algorithm based technique is developed to schedule projects to satisfy different goals like minimizing total task time and the total expenditure of the project, with the constraints of precedence connections between different tasks, precedence connections between different sites and the due time within which different tasks to be finished. The performance of the proposed method is compared with solutions created using existing algorithms like simple GA and ABC. Exact solutions generated by solving the developed mathematical model is utilized for validating the solutions acquired by modified GA. The computational outcomes demonstrate that the proposed GAIIPDM methodology performs significantly well in terms of quality of solutions.
A Fuzzy Knowledge Based System for Financial Credit Classification
Authors:   Software Technology Parks of India, Ministry of Electronics and IT, Govt. of India, Lucknow, India. 2. Dr. APJ Abdul Kalam Technical University, Lucknow, India, Dwivedi* Praveen Kumar , Tripathi Surya Prakash ,   Department of Computer Science and Engineering, Institute of Engineering and Technology, Lucknow, India.
Published: October 2019

Fuzzy knowledge-based systems are successfully applied in several areas to classify and modelling the knowledge base using fuzzy If then rules. In recent era, taking the loan from banking system is highly practiced and the finding the eligible person to grant the credit is challenging task. In this context, this article designed a fuzzy knowledge base system and defined eight rules for credit allocation system and implemented on two different dataset German credit allocation system and Australian credit allocation system. These data are downloaded from well-known machine learning repository UCI. To classify the credit allocation data, fuzzy decision tree and Wang and Mendel model has been used. To estimate the performance of the proposed method for credit allocation system the accuracy and the interpretability is used. The experimental analysis highlight that the Wand and Mendel model gives higher accuracy i.e. 99.9% and the interpretability of the proposed model is very less or negligible.
Scalable Methodology to Hide Audio Data in Cover Image using RGB and Gray Color based Key Positioning Image Steganography
Authors:   Assistant Professor in Anil Neerukonda Institute of Technology & Sciences, Visakhapatnam since, Jagadish* Mr.G. , Naidu Dr. Sanyasi ,   Associate Professor in Department of Computer Science and Engineering GITAM deemed to be University since
Published: October 2019

This objective of this paper is primarily focused on RGB color and Gray scale color based key positioning steganography which has been used to overcome the disadvantages of the Least Significant Bit replacement algorithm and helps to embed the audio data in the color images. The given audio data of various sizes is used to embed in the green color channel of the 24 bit color image sequentially by the key based LSB positioning algorithm. Here the audio threshold is another major area where the focus has been laid as increasing the size of the audio data[26] which can be sent through an image without losing the quality of the audio. This method of hiding the audio data through an image helps to authenticate the sender[25] and verifies whether the data has been really sent to the valid user or is used to prevent morphed secret details by the attacker in the middle. The proposed algorithm has been tested against various existing algorithm to study how effectively the algorithm is working, and how effectively it overcomes the drawbacks of the present algorithms. The algorithm is scalable to serve the purpose of authenticating the different demographical region users living all over world and also to identify that the message is reaching only to the valid user[31].
Durability Properties of M60 GradeSelf-Compacting Concrete with Partial Replacement of Cement by GGBS, Lime Powder and Metakaolin
Authors:   Professor, Department of Civil Engineering, Gokaraju Rangaraju Institute of Engineering & Technology, Hyderabad, India., Satyanarayana* Dr GVV , Chaitanya B Krishna ,   PG student, Structural Engineering, Gokaraju Rangaraju Institute of Engineering & Technology, Hyderabad, India.
Published: October 2019

In this investigation the Durability Properties of M60 grade Self compacting concrete (SCC) with partial replacement of cement by GGBS, Lime powder, and Metakaolin. Five mixes were prepared at 25% replacement of cement content with different admixture (.i.e.M1, M2, M3, M4&M5) at 0.34 w/c ratio and 1% super plasticizer dosage by cement content for maintaining required workability. Filling and passing ability were found out by slump test, V-funnel, L-box and U-box before casting the specimens. In this investigation M60 grade designed by means of Nansu method by fulfilling EFNARC guidelines for SCC. Durability properties tested under acid environment with H2SO4 and HCl and Sulphate environment with MgSO4 and Na2SO4 at curing period of 28 days. In this investigation the Lime-powder based mixes shows high durability comparatively to Metakaolin as well as addition of GGBS maintained sufficient compressive strengths.
Impact of Incorporating Metakaolin on the Mechanical Performance of High Grade Concrete
Authors:   Masters of Technology in Structural Engineering , Sardar Vallabhbhai National Institute of Technology, (SVNIT) Surat, India., Shah* Sonal , Desai Satish N. ,   Maters in Technology and Bachelor of Engineering, Sardar Vallabhbhai National Institute of Technology, (SVNIT) Surat, India.
Published: October 2019

This paper studies the effect of incorporating metakaolin on the mechanical properties of high grade concrete. Three different metakaolins calcined at different temperature and durations were used to make concrete specimens. Three different concrete mixtures were characterized using 20% metakaolin in place of cement. A normal concrete mix was also made for comparison purpose. The compressive strength test, split tensile test and flexural strength tests were conducted on the specimens. The compressive strength test results showed that all the metakaolin incorporated concrete specimens exhibited higher compressive strength and performed better than normal concrete at all the days of curing. The rate of strength development of all the mixes was also studied. The study revealed that all the three different metakaolin incorporated mixtures had different rate of strength development for all the days of hydration (3, 7,14, 28, 56 and 90), indicating that all the metakaolins possessed different rate of pozzolanic reactivity. Further, from the analysis of the test results, it was concluded that the variation in the rate of strength development is due to the differences in the temperature and duration at which they were manufactured. The results of split tensile strength test and the flexural strength test conducted on the specimens, supported the conclusions drawn from the results of compressive strength test. The paper also discusses, the rate of development of compressive strength and the pozzolanic behaviour of the metakaolins in light of their parameters of calcination and physical properties such as amorphousness and particle size. This paper has been written with a view to make the potential of metakaolin available to the construction industry at large.
A Hybrid Framework for Brain Tumor Classification using Grey Wolf Optimization and Multi-Class Support Vector Machine
Authors:   Department of Computer Science and Engg,Uttrakhand Technical University,Dehradun India., Kumar* Arun , Ansari M.A. ,   Department of Electrical Engg., Gautam Buddha University,G.Noida,India., Ashok Alaknanda ,   Director, W.I.T.Dehradun,India.
Published: October 2019

Medical image processing has a vital role in the detection of diseases in human beings. The accuracy for disease detection using any medical image is highly dependent on the image processing methods. Features extraction and reduction are the two key steps during the medical image processing for disease classification. To develop an effective and efficient mechanism with high accuracy for classification of malignant brain tumor from Magnetic Resonance Imaging (MRI) is the objective of the present research. To achieve this, a nature inspired algorithm; namely, Grey Wolf Optimization (GWO) along with a classification method, multiclass Support Vector Machine (MSVM) is used. Further, Results for the classification accuracy obtained from GWO are compared with other two well-known optimization algorithms such as Particle Swarm Optimization (PSO) and Firefly Algorithm (FA).
A Framework to improve the Web Performance using Reorganization, Optimized Prediction and Prefetching
Authors:   Associate Professor, PG & Research Department of Computer Science, Dr.Ambedkar Government Arts College (Autonomous), Affiliated to University of Madras, Chennai, India., Shyamala* K. , Kalaivani S. ,   Research Scholar, PG & Research Department of Computer Science, Dr.Ambedkar Government Arts College (Autonomous), Affiliated to University of Madras, Chennai, India., Murugan A. ,   Associated Professor, PG & Research Department of Computer Science, Dr.Ambedkar Government Arts College (Autonomous), Affiliated to University of Madras, Chennai, India.
Published: October 2019

Improving web performance is becoming more hectic in recent days. This paperelucidates the combination of many ideas to improve web performance and given as a framework. The entire framework depicts various aspects in improving web access performance which includes website reorganization, webpage prediction and prefetching, optimized way of accessing prediction algorithm in webserver and finally improvements in a proxy cache at the time of accessing dynamic content. Each portion of the framework has been successfully proposed and implemented. The various algorithms have been introduced in each portion of the implementation. This research work not only introduced new algorithms but also create scope for further research works in terms of improving web performance.
Effects of Beam Members on Performance of Buildings under Seismic Forces
Authors:   PhD Scholar, Department of Civil Engineering, Maulana Azad National Institute of Technology, Bhopal, India., Soni* Prabhat Kumar , Dubey Dr. S. K. ,   Professor, Department of Civil Engineering, Maulana Azad National Institute of Technology, Bhopal, India., Sangamnerkar Dr. Prakash ,   Assistant Engineer, M.P. Housing and Infrastructure Development Board, Bhopal, India.
Published: October 2019

The main aim of the paper is to present an analysis to study on non-linear seismic analysis of reinforced concrete (RC) framed buildings as per the provisions of Indian code IS1893-2016 to evaluate the response of the building configurations depending upon the section sizes of the horizontal members; beams and as per variation in its cross-sectional area. The response of buildings has been noted in terms of quantities as the time period of buildings.Indian seismic code IS 1893 has been employed for the design provisions of the seismic analysis and the structures have been evaluated for seismic zone II. The design software STAAD.Pro has been used for the dynamic analysis.The response of the structure under lateral force system, induced due to seismic activities is must be analysed to understand the behaviour of structure under dynamic forces. The paper evaluates the most common but important response factors of the structure which are most important in the design of building. The paper also shows the detailed results of the time period of buildings for various building configuration. The evaluated results have been tabulated and analysed with the help of a comparative study of the obtained data. The work is useful for better understanding of the performance of the reinforced concrete buildings as per the different sizes and sections and stiffness of the beam elements.
Hypersonic Flows Over Multi-Ramp Configurations
Authors:   CFD Software Soln., MSC Software Corporation, Bangalore, India., Sundarraj* Karthik , Guven Ugur ,   Department of Aerospace Engineering, UPES, Dehradun, India., Kulkarni P S ,   Aerospace Engineering, Indian Institute of Science, Bangalore, India., Prakash Om ,   Department of Aerospace Engineering, UPES, Dehradun, India., Pawar R Ganesh ,   Aerospace Engineering, Indian Institute of Science, Bangalore, India.
Published: October 2019

The effects of attaching multiple ramps to the standard double ramp configuration along with variations in ramp angle, free-stream Mach number and surface temperature are discussed in this investigation. This study investigates the changes associated with shock wave boundary layer interaction (SWBLI) due to ramp induced flow breakdown and the flow field fluctuation with changes in flow characteristics and design. This type of ramp junctions typically features in re-entry vehicles, engine intakes, system and sub-system junctions, control surfaces, etc. Ramp junctions usually are associated with strong separation bubble that has significant upstream influence impacting the effectiveness of aerodynamic surfaces, engine performance, thermal behavior and stability. Computation studies are carried out using Second order accurate, finite volume RANS solver considering compressible laminar flow characteristics, with solver settings provided like experimental conditions as per literature. Comprehensive double ramp studies with suggestions on reducing the separation bubble size are invariantly considered in literature, however there has been no study in understanding the inclusion of additional ramps in such flow scenarios. At the end of this study it was evident that such complex junction needs detailed understanding on how they benefit or impact the overall design of the system. It also gave a very good insight on the nature of flow around such complex junctions and instills motivation for detailed experimental understanding.
Three Level Hysteresis Function Based Sliding Mode Control of Three Phase PWM Inverter for Shunt Active Power Filter Application in Distribution Network
Authors:   School of Electrical Engineering, Vellore Institute of Technology, Chennai, India., Balamurugan* P. , Kumar* N. Senthil ,   School of Electrical Engineering, Vellore Institute of Technology, Chennai, India.
Published: October 2019

In this paper, a Three-Level Hysteresis based Sliding (TLHSM) function approach to regulate output currents of three-phase capacitor powered Voltage Source Inverter (VSI) is analyzed and implemented. VSI functions as shunt active power filter to compensate for harmonic currents generated by a nonlinear load in the power distribution network. The performance of the control is compared with conventional two-level hysteresis-based control through simulation in MATLAB/Simulink. Sliding Mode Control (SMC) is recognized as robust controller with a high stability over a wide range of load and source variations. The set-back of unfixed switching frequency problem with conventional two-level hysteresis control is disregarded in this approach. Switching frequency prediction is observed to be accurate. The tracking error and Total Harmonic Distortion (THD) in source currents are the measurable parameters for evaluation of control effort and is within the limits specified by IEEE519:2014 recommendations.
Impact of Distributed Generation on Network Reconfiguration for Power Loss Minimization in Radial Distribution System by Hybrid Algorithm
Authors:   Electrical & Electronics Engineering department, SDM Institute of Technology, Visvesvaraya Technological University, Ujire, D.K., India., D.P* Somashekar , Ankaliki Shekhappa G. ,   Electrical & Electronics Engineering department, SDMCET, Dharwad, India., T Ananthapadmanabha ,   Electrical and Electronics Engineering department, NIEIT, Mysuru, India., N.S Ramya ,   Electrical & Electronics Engineering department, Research Scholar, VTU, Ujire, India.
Published: October 2019

Feeder reconfiguration is a planning to change the system configuration by altering the existing tie-line and sectionalizing switches status for minimizing the system losses. Hence, the network reconfiguration is essential in distribution system to minimizing system power losses. Reduction of power loss is much considerable role in power flow of distribution network in evaluating system performance. There are several methods have been proposed for reduction of system power losses and voltage improvement. This paper mainly employs feeder reconfiguration for power loss minimization and voltage improvement using opening and closing tie line and sectionalizing switches by hybrid binary particle swarm and cuckoo search algorithm. As a consequence in this operation, there is significant improvement of voltage profile, freeing up and power loss minimization. The system performance is evaluated and tested in 33 bus system, and simulation is carried out using Matlab simulation platform. For optimal switching strategy, the cuckoo search and hybrid particle swarm optimization algorithm are implemented and showed better improvement in voltage profile, minimization of real power loss and percentage of power loss reduction.
A Hybrid Image Steganography Method
Authors:   Department of CSE, Assam University, Silchar, Assam , India., Abbasi Ilyas , Roychoudhuri Ranjana ,   Department of CSE, Assam University, Silchar, Assam , India., Chanu H. Leishang ,   Department of CSE, Assam University, Silchar, Assam , India., Rabha Sujit ,   Department of CSE, Assam University, Silchar, Assam , India., Acharjee* Tapodhir ,   Department of CSE, Assam University, Silchar, Assam , India.
Published: October 2019

This is age of fast communication and data revolution. Huge amount of data is transmitted and received in every second utilizing the current infrastructure. Providing the security and maintaining integrity of the data while it is being transferred through the public channels is a challenging task. Steganography can be used in this purpose by concealing the data inside text, image, audio or video file formats and send the files to the other end. This paper gives an overview of various image steganography methods. To hide secret information in images various steganographic methods are available which have their own pros and cons. In this paper we have discussed the types of image steganography. Here we propose two different image steganography methods using Modified Least Significant Bits (LSB) and Discrete Wavelet Transform (DWT) methods. Also, the results are analyzed using different parameters like Peak signal to noise ratio(PSNR), Mean Square Error(MSE) to find out the efficiency of the proposed methods.
Modeling and Optimization of EDM of Metal Matrix Composite using Black Hole Algorithm
Authors:   Mechanical Engineering Department, AKS University, Satna - 485001, Madhya Pradesh, India, Pandey Shrihar , Shrivastava* Pankaj Kumar ,   Mechanical Engineering Department, AKS University, Satna - 485001, Madhya Pradesh, India, Singh Pushpendra ,   Electrical Engineering Department, Rajkiya Engineering College, Banda-210201, Uttar Pradesh, India
Published: October 2019

Many advanced materials have been developed in the recent past to meet the present day technological demands. Aluminum-boron-carbide (Al-B4C) metal matrix composite (MMCs) is such a material slowly gaining popularity among researchers. The advanced machining processes (AMPs) are best manufacturing method to shape these types of innovative materials. The experimental investigations on Al-B4C MMC using one such AMP known as electrical discharge machining (EDM) have been carried out in the present work. Important electrical parameters of EDM have been considered as input control factors to evaluate two of the most important responses. Four evolutionary optimization techniques; black hole, differential evolution, shuffled frog leaping algorithm and coordinated aggregation based particle swarm optimization is applied to get best out of the process. Finally all the evolutionary optimization techniques have been compared for their performances.
Durability Properties of Self Compacting Concrete by using M-Sand as Fine Aggregate
Authors:   Professor& HoD of Civil Engineering, Griet, Telangana, India, Reddy* Dr.V.Mallikarjuna , Sucharitha R. ,   PG Student, Structural Engineering, Griet, Telangana, India,
Published: October 2019

Self-compacting concrete is also called as self consolidated concrete which does not require vibration for placing and compaction. In the present trend scarcity of natural sand become a huge problem to construction industry, inorder to reduce this problem alternatives are used, one of the alternative material is Manufactured sand. Manufactured sand is produced from hard granite stone by crushing. There are two reasons to M-sand i.e, availability & transportation. An attempt was made to evaluate the workability and strength characteristics & durability properties of self compacting concrete with river sand and manufactured sand as fine aggregates. For each replacement level, constant workability was maintained by varying the dosage of superplasticizer. Sulphate attack and chloride attack of the specimens were determined. Different proportions of solution are used for durability study.
Design of Infrared Radiation for Best Heat Source Performance In Paint Cure Oven
Authors:   Department of Mechanical Engineering, Vel Tech Multitech, Chennai - 600062, Tamilnadu, India., Pandian* Alagu Sundara , S Palani ,   Department of Mechanical Engineering, Vel Tech Multitech, Chennai, Tamilnadu, India., M Selvam ,   Department of Mechanical Engineering, Vel Tech Multitech, Chennai - 600062, Tamilnadu, India., D Vijayakumar ,   Department of Mechanical Engineering, Vel Tech Multitech, Chennai, Tamilnadu, India., K Suresh ,   Department of Mechanical Engineering, Vel Tech Multitech, Chennai - 600062, Tamilnadu, India.
Published: October 2019

This project aims at altering the conveyor speed for maximum productivity and modifying the oven in order to increase the efficiency of powder coating process involved in painting the components of lifts. The primary thing to be considered while modifying the oven is the heat source provided. Most of the industries use forced convection for heating up the product in order to cure the powder coating process. This project aims at providing infrared radiation as the heat source to cure the powder over the metal surface. Forced convection is advantageous for more complex shapes. But the components of lifts are not of complex shapes. So, it would be efficient to use infrared. The forced convection system requires long heat up time, high energy consumption, large floor area and some additional setups for air circulation inside the oven. Infrared radiation heating would eliminate these drawbacks. The infrared radiation would be absorbed by the material in order to heat up. This is more efficient in case of curing the powder coated parts. Because, in case of forced convection first the paint in form of powder is heated and then the heat is transferred to the metal surface. Whereas in case of infrared heating, the metal would be heated first and then it would be transferred towards the powder paint. In other words, we could say that the infrared radiation heating provides backward heating which would increase the efficiency and life of the paint coated. Temperature control and instant heating are also the advantages of infrared heating. Hence designing the infrared source for the given metal and powder specifications is done in this project.
Economic and Social Aspects of International Labor Migration
Authors:   Financial University under the Government of the Russian Federation, Moscow, Russia., Abanina* Irina Nikolaevna , Ogloblina Elizaveta Valentinovna ,   Financial University under the Government of the Russian Federation, Moscow, Russia., Seredina Maria Igorevna ,   Financial University under the Government of the Russian Federation, Moscow, Russia, Chicherova Elena Yuryevna ,   Russian Academy of national economy and public administration under the President of the Russian Federation, Moscow, Russia.
Published: October 2019

The article is devoted to the consideration of socio-economic aspects of international labor migration. It is established that international labor migration determines a number of positive effects in the economy of the host country. It is determined that in modern conditions, illegal international labor migration is becoming increasingly widespread. At the same time, illegal labor migrants fall into the shadow sector of the economy, increasing its share. This effect is negative and in the long-term perspective has destructive impact on any national economy of the recipient country of international labor migrants. It is proved that the negative impact of international labor migration on the economy of the recipient country is manifested in the fact that immigrants lay their claim to a certain share of public benefits that the state provides for its citizens. This effect is especially enhanced when families migrate with parents who will be paid a pension in the recipient country.
Agricultural Insurance as a Tool of Marketing Risk Management in Agriculture
Authors:   Parakhin Oryol State Agrarian University, Oryol, Russia., Bogachev* Aleksandr Iv. , Avarskii Nabi D. ,   Federal State Budgetary Scientific Institution "Federal Research Center of Agrarian Economy and Social Development of Rural Areas - All-Russian Research Institute of Agricultural Economics" under Ministry of Science and Higher Education of Russian Federation, Moscow, Russia., Alpatov Anton V. ,   Federal State Budgetary Scientific Institution "Federal Research Center of Agrarian Economy and Social Development of Rural Areas - All-Russian Research Institute of Agricultural Economics" under Ministry of Science and Higher Education of Russian Federation, Moscow, Russia., Khashir Aslan A. ,   Federal State Budgetary Scientific Institution "Federal Research Center of Agrarian Economy and Social Development of Rural Areas - All-Russian Research Institute of Agricultural Economics" under Ministry of Science and Higher Education of Russian Federation, Moscow, Russia., Gumerov Vadim R. ,   Federal State Budgetary Scientific Institution "Federal Research Center of Agrarian Economy and Social Development of Rural Areas - All-Russian Research Institute of Agricultural Economics" under Ministry of Science and Higher Education of Russian Federation, Moscow, Russia., Khashir Bella O. ,   Kuban State Technological University, Krasnodar, Russia.
Published: October 2019

The aim of the study is to assess the current state of agricultural insurance with state support as one of the components of the development mechanism of the agricultural sector and determine the vectors of its development. It is concluded that such insurance has not yet become a financial tool to minimize economic risks for most farmers. According to the results of the study, the main sources, causes and risk factors for reducing the stability of the agricultural insurance system were identified; the results of changes in the relevant legislation on agricultural insurance are evaluated; a set of measures has been formulated to transform the current agricultural risk insurance system aimed at developing and improving the efficiency of this sector of the insurance market of the Russian Federation.
Socio Economic Impact of Weekly Markets: An Assessment of Farmers in Garo Hills of Meghalaya
Authors:   Department of Management, North-Eastern Hill University, Tura Campus, Tura, Meghalaya, India., Akojam* Dr Sunildro L.S.
Published: October 2019

The weekly markets in Garo Hills of Meghalaya have been a source of livelihood for thousands of farmers. These markets have also been the main source for availing all basic commodities for survival of thousands of villagers who don’t have access to the normal markets for daily essential commodities. But it is observed that farmers who are directly engaged in these weekly markets for ages are not growing economically as well as socially significantly. This paper is an attempt to understand the role of weekly markets in the lives of farmers of thousands villages who are directly engaged in the market for their source of income for livelihood. The paper analyses the socio-economic impacts of the rural weekly markets in the lives of farmers in Garo Hills of Meghalaya. Data was collected through a semi structured schedule from 35 weekly markets operating in Garo Hills. Altogether 175 farmers (5 from each market) who sell their agricultural produce directly in these markets are considered for the study. The study found out that the farmers are able to improve their economic status through it but not significant enough to save for buying extra assets. The average monthly income of the farmers and their economic status is increasing with the years in weekly market. Through the market, farmers get to interact more with others sellers as well as customers. They have become more active in market related activities helping each other in the event of problematic situation and they are receiving more moral supports from others including sellers and customers.
Twitter Sentiment Analysis on Indian Government Project using R.
Authors:   MPhil Scholar, Department of Computer Sciences, BGSBU Rajouri, J&K, India., Verma Pankaj , Khanday* Akib Mohi-Ud-Din ,   Ph.D. Scholar, Department of Computer Sciences, BGSBU Rajouri, J&K, India., Rabani Syed Tanzeel ,   Ph.D. Scholar, Department of Computer Sciences, BGSBU Rajouri, J&K., Hussain Mahmood ,   Ph.D. scholar, department of Computer Sciences, BGSBU Rajouri, J&K., Jamwal Dr. Sanjay ,   Professor, Department of Computer Sciences, BGSBU Rajouri, J&K, India.
Published: October 2019

The main motive behind this research paper is to use the power of social media to observe, examine and analyze the opinion regarding recent Indian government project as the opinion of people plays a vital role in formulating the government policies. By getting into the deeper insights on social media, one can easily analyze the behavior of people regarding various issues and policies, which was otherwise impossible using traditional sources. The case study was done on Statue of Unity. Analysis was done on one of the famous social networking sites i.e. Twitter, using R programming language. Twitter API was used to collect the primary data. Tweets were analyzed by using opinion lexicon and Emotion lexicon-based approaches. Opinion Lexicon based approach categorized the sentiment of tweets in three categories, while Emotion Lexicon based approach refined them into eight more categories. The research work done in this paper will help government to understand the emotions of people regarding their policies and will also enrich people to help them understand majority vote of people.
Internet of Things in Smart City Environments
Authors:   Faculty of Interdisciplinary Studies (Computer Engineering), Bharati Vidyapeeth (Deemed to be University), Pune, India., Gupta* Sanjay Kumar , Vanjale S.B. ,   Department of Computer Engineering, Bharati Vidyapeeth (Deemed to be University), Pune, India.
Published: October 2019

With the advent of smart devices, a huge paradigm shift is observed in the way the users define service quality. Further, these devices or Internet of Things (IoT) devices as they are generally addressed, have acted as catalyst for comfort and connectivity and are building blocks of Smart City environment. With limited thought related to security is involved during the deployment of such devices, they offer a dangerous environment of opportunity to the attackers from the internet; which not only jeopardize network security, bus also the privacy of the users. Hence, it is of utmost importance to address the security concerns in smart city environment. This paper attempts to study the current IoT technologies deployed in a smart-city environment along with its vulnerabilities and possible solutions to improve IoT security. An approach is made to study the various vulnerabilities available with the IoT devices deployed in the smart city setup, various motivation of an attacker and the analyse some of the recent attacks witnessed by IoT devices. A few possible solutions for mitigation are suggested in this paper. The findings of the paper can be implemented in any network of IoT devices.
Visualization of Correlation for Air Pollution Time Series using TAQMN Data
Authors:   Computer Science, Mangalore University, Mangalore, Karnataka, India., K .S* Harishkumar , Doreswamy  ,   Computer Science, Mangalore University, Mangalore, Karnataka, India.
Published: October 2019

In Taiwan country Annan, Chiayi, Giran, and Puzi cities are facing a serious fine particulate matter (PM2.5) issue. To date the impressive advance has been made toward understanding the PM2.5 issue, counting special temporal characterization, driving variables and well-being impacted. However, notable research as has been done on the interaction of the content between the selected cities of Taiwan country for particulate matter (PM2.5) concentration. In this paper, we purposed a visualization technique based on this principle of the visualization, cross-correlation method and also the time-series concentration with particulate matter (PM2.5) for different cities in Taiwan. The visualization also shows that the correlation between the different meteorological factors as well as the different air pollution pollutants for particular cities in Taiwan. This visualization approach helps to determine the concentration of the air pollution levels in different cities and also determine the Pearson correlation, r values of selected cities are Annan, Puzi, Giran, and Wugu.
Effect of Polyethylene Glycol in Self-Curing of Self Compacting Concrete
Authors:   Professor & HoD of Civil Engineering, Griet, Telangana, India, Reddy* Dr. V. Mallikarjuna , Praveen Rathod ,   PG Student, Structural Engineering, Griet, Telangana, India,
Published: October 2019

The objective of this research is to evaluate the strength characteristics of self-compacting concrete as self-curing material by using water soluble Polyethylene Glycol 400. The objective of self-curing agent is to decrease concrete water disposal, thus increasing concrete's water retention ability in comparison with conventional curing. Self curing Concrete is a modern method, which performed to meet the water needs of the concrete without external curing. This research discusses the compressive, flexural, and split tensile strength of the concrete having the self-curing agent. Polyethylene glycol (PEG) of Molecular Weight 400 (PEG 400).The percentage of self-curing used from 0.5, 0.1, 1.5 and 2 percent by weight of cement. From the experimental results it is observed that optimal dosage PEG 400 is achieved at one percent being maximum strength. It is also found that the increase in PEG dosage decreases the strength of concrete.
Industrial Waste Disposal: Development of New Technologies and Economic Mechanisms of Management
Authors:   Chechen State University, Grozny, Russia., Bamatov* Ibragim Musaevich , Alekseev Evgeny Valerevich ,   Moscow State University of Civil Engineering (National Research University), Moscow, Russia., Silaeva Anna Alexandrovna ,   Russian State University of Tourism and Service, Moscow, Russia., Faizrakhmanova Aigul Linarovna ,   Kazan Federal University, Elabuga, Russia., Melnichuk Alexander Vasilyevich ,   Russian state social University, Moscow, Russia.
Published: October 2019

The purpose of this paper is to analyse the methods and instruments of funding and taxation in the waste disposal sector in countries with different levels of economic development, budget decentralisation, population density and cultural traditions. The paper covers the issues of industrial waste disposal and international practice in addressing this problem. The condition, problems and ways of waste disposal are discussed, with a focus on the role of the state and tax mechanisms in different countries. Based on an expert survey, an optimum strategy is proposed to bring down waste in industrial production by implementing new technology. The strategy is designed to prevent and minimise waste generation, to reuse and recycle waste, recover or dispose of waste materials, treat and destruct waste