bluuebunny/crossref_metadata_2025 huggingface dataset:
An Algorithm Based on Heap of Binary Search Tree to Solve Graph Coloring Problem
Authors:   CSE, DIT University, Dehradun, India., Shukla Ajay Narayan , Bharti Dr. Vishal ,   CSE, DIT University, Dehradun, India., Garg Dr. M L ,   CSE, DIT University, Dehradun, India.
Published: August 2019

Graph coloring problem is one of most frequent studied problem in the graph theory due to its uses in different area of applications like simulation of biological networks, communication networks, register allocation and many more. This problem involves the coloring of the vertices of the given a graph G (V, E) with number of available colors in such a manner that adjacent vertices must assign colors different with each other. In this paper we present a hybrid approach to assign the colors to vertices of the given graph that is based on adjacency matrix and search tree data structure. The coloring process for a particular vertex in the graph will done by getting the feasible colors available in the color list. The feasible colors that may be assigned to a vertex, retrieved from the vertex-color binary search tree generated initially for available colors. The proposed solution for the graph coloring problem is efficient in terms of its running time complexity and it will work without affecting its complexity for any kind of graph.
Integration of Partial Least Squares Path Modeling for Sustainable Tourism Development
Authors:   Department of Economics and Management, Lviv State University of Physical Culture Lviv, Ukraine, Pavlenchyk Nataliіa , Mekhovych Serhii ,   Department of Economic Analysis and Accounting National Technical University "Kharkiv Polytechnic Institute", Kharkiv, Ukraine, Bohoslavets Oksana ,   Department of Regional Studies and Tourism, Kyiv National Economic University named after Vadym Hetman, Kyiv, Ukraine, Opanashchuk Yurii ,   Department of Regional Studies and Tourism, Kyiv National Economic University named after Vadym Hetman, Kyiv, Ukraine, Hotra Viktoriya ,   Department of Enterprise Economics, Uzhhorod National University, Uzhhorod, Ukraine, Gayvoronska Inna ,   Department of Marketing and Business Administration, Odessa I.I.Mechnikov National Odessa, Ukraine
Published: August 2019

This study aims to reveal which factors and their indicators are significant (primary) for sustainable tourism from the point of view of the travellers themselves. The study was conducted in two stages and involved 415 (first phase) and 577 (second phase) respondents. The first stage was conducted online and personal communication, which allowed to question respondents in detail. The second stage was conducted only online using polls on Facebook, Twitter, Google Docs and email. Primary data were presented in the form of respondents' submissions, obtained as a result of observation through the distribution of questionnaires. Results were processed using a priori ranking technology - expert methods - using MS Excel for automatizing the process. The study revealed what factors generally accepted today and their indicators are significant (primary) from the point of view of the travellers themselves. The division of the empirical part of the study into two components allowed for a more detailed review of the opinions of the respondents and the identification of 9 leading indicators. This article draws attention to the fact that it is necessary to study phenomena not only from a theoretical point of view but also to test empirically, involving the participants in the process. The study will be useful for countries and regions that are committed to sustainable tourism. Technology, as a whole, can be used in any industry where people's opinion matters. The study is based on the theoretical basis of modern researchers and is supported by an experiment involving direct participants in the process (travellers), i.e. allows you to uncover sustainable tourism and factors affecting it from different angles.
Research on Privacy Preservation of Big Data Challenges and Real Time Applications
Authors:   CSE, CEC Landran, Kurali, India, Kaur Sukhjeet , VERMA Prof (Dr.) B.K ,   CSE, CEC Landran, Rajasthan, India
Published: August 2019

Our examination work is the most slanting since it relates to the security issues which increase, well ordered in view of the casual association inclines in society. In this paper we address the issue of uncovering an individual's information; the philosophy depends for the most part on the K-anonymity with the possibility of unimportant theory, which gets the property of the release strategy not to ravage the data more than anticipated to achieve K-lack of definition. We talk about the colossal data in detail how it is useful to guarantee an immense volume of information without change the arrangement of one of a kind data. Data stored in different forms is anonymise efficiently without affecting the integrity if data by using K-Anonymity and Artificial Bee Colony algorithm respectively. We similarly give base on security and insurance strategies and to avoid the interference. We use the phony bumble bee settlement (ABC) count to propel the tremendous enlightening accumulation. We exhibit the result in graphically the sum we improve the insurance from the as of proposed system. Here both K-Anonymity and ABC Algorithm is used (mixed) which never took care by executing parallel.
Air Quality Index Prediction using Linear Regression
Authors:   Assistant Professor, Department of CSE, BMS Institute of Technology, Bangalore, (Karnataka), India., G. N Mrs. Ambika , Singh Mr. Bhanu Pratap ,   CSE, BMS Department of CSE, BMS Institute of Technology, Bangalore, (Karnataka), India., Sah Ms. Bhavya ,   CSE, BMS Department of CSE, BMS Institute of Technology, Bangalore, (Karnataka), India., Tiwari Ms. Dishi ,   CSE, BMS Department of CSE, BMS Institute of Technology, Bangalore, (Karnataka), India.
Published: August 2019

controlling and preserving the better air excellence has become one of the most indispensible events in numerous manufacturing plus metropolitan regions at present. The excellence of air is harmfully affecting payable to the various forms of contamination affected via the transportation, power, fuels expenditures, etc. The installation of destructive fumes is spawning the severe hazard for the class of natural life in developed metropolises. Through cumulative air contamination, we require implementing competent air excellence monitoring models which gathers the statistics about the absorption of air impurities and be responsible for calculation of air contamination in each zone. Hence, air excellence estimation plus calculation has come to be a significant study area. The superiority of air is exaggerated by multi-dimensional influences comprising place, time plus indeterminate parameters. The intention of this development is to examine the machine learning based methods for air quality prediction.
Low Voltage Full Swing Fin FET Hybrid Full Adder
Authors:   Research scholar, Dept. of ECE, JNTU Kakinada, A.P, INDIA., Vejendla Nancharaiah , Reddy Dr.R. Ramana ,   Professor & Head of ECE, JNTUACEP, Pulivendula, A.P, INDIA., Balaji Dr.N. ,   Professor, Department of ECE, UCOE, Narasaraopet, JNTUK, A.P, INDIA.
Published: August 2019

In this research paper, CMOS and FinFET based hybrid Full Adders operating at low voltages with low power dissipation are proposed. The proposed CMOS based circuit is compared with few existing hybrid full adders in terms of average power dissipation and power-delay-product (PDP). The designed CMOS based hybrid adder achieves lower power dissipation and low PDP compared to other hybrid adders over a voltage range of 0.6V to 1V. The proposed CMOS implementation of hybrid full adder fails at 0.5V to produce full swing output. To solve this full swing problem, the proposed hybrid full adder is implemented using FinFETs which produce full output voltage, lower power and low PDP comparing with CMOS implementation. The circuits are designed with HSPICE tool in 32nm predictive technology model (PTM).
Design of Traffic Volume Forecasting based on Genetic Algorithm
Authors:   Priyadarshini Institute of Engineering and Technology, Nagpur, Maharastra, India, Potnurwar Dr. Archana , Aote Dr. Shailendra S. ,   Shri Ramdeobaba College of Engineering and Management, Nagpur, Maharastra, India., Bongirwar Vrushali ,   Shri Ramdeobaba College of Engineering and Management, Nagpur, Maharastra, India.
Published: August 2019

The traffic flow forecasting is very important aspect of traffic predication and congestion. It alleviates the increasing congestion problems that cause drivers to shorten the travelling duration required and prevent financial loss. Increasing congestion is one of the severe problems in big city areas. The aspect of traffic prediction is that it may give drivers to plan their traveling time and traveling path, based on the predictive data information they have. The aim is to design locally weighted regression model by proposing a method, which is a combination of Genetic algorithm and locally weighted regression method. This model helps to achieve optimal prediction performance under various traffic condition parameters. The time series model is used to predict the forecast value for the accurate assumption of the traffic volume generation according to the road capacity. The GA model results show these kind of predictions always be useful for highway road authorities.
Evaluation of Spatial Variability in Ground Water Quality using Remote Sensing
Authors:   Department of Environmental Studies, GITAM (Deemed to be University), Visakhapatnam-530045, Andhra Pradesh, India., Karnena Manoj Kumar , Saritha Vara ,   Department of Environmental Studies, GITAM (Deemed to be University), Visakhapatnam- 530045, Andhra Pradesh, India.
Published: August 2019

Water quality along Coastal Zones of Srikakulam District in Andhra Pradesh, India was analyzed through seasons of pre and post of monsoon for determining water appropriateness towards consumption by means of water quality index (WQI). Present study included collection of sub-surface water samples from sampling sites which are designated as Mandal headquarters across the coastal line. Towards developing WQI, physicochemical analysis of samples was determined considering nine important parameters that included physical parameters like total dissolved solids, chemical parameters like pH, conductivity, ionic parameters such as calcium and magnesium, sodium and potassium, chloride and sulphate. The sampling sites are mapped using geographical information systems. GPS (Global positioning system) was employed to locate the coordinates in terms of latitude and longitude. Cation-anion correlation matrixes are plotted using piper plots from values of results obtained through physico-chemical analysis. Experimental results were subjected to statistical analysis using one-way ANOVA. The WQI index in the present study was obtained in the range of 57.6 to 989.1, indicating very poor-quality water in these sampling areas. Results illustrated that groundwater of the study area required treatment before used for consumption.
Principles of Correlation Between Self-Regulation and State Legal Regulation of the Relations Related to Genetic Research: Modern Prospects
Authors:   FSBEI of HE “Moscow State Law University named after O.E. Kutafina (MSLA)”, Moscow, Russia., Mashkova Ksenia V. , Varlen Maria Viktorovna ,   FSBEI of HE “Moscow State Law University named after O.E. Kutafina (MSLA)”, Moscow, Russia., Zenin Sergey Sergeevich ,   FSBEI of HE “Moscow State Law University named after O.E. Kutafina (MSLA)”, Moscow, Russia., Bartsits Anri Lvovich ,   FSBEI of HE “Moscow State Law University named after O.E. Kutafina (MSLA)”, Moscow, Russia., Suvorov George N. ,   Academy of Postgraduate Education FSBI FCMC FMBA of Russia, Moscow, Russia.
Published: August 2019

The principles of correlation between self-regulation and state legal regulation of the relations related to genetic research have been discussed in this article. Today the development of genetics and applied genomic medicine has a direct effect on legal relations on protecting the rights and legal interests of an individual. The main goal of the study is to research regulatory legal acts, judicial practice, and doctrinal sources aimed at determining the optimal correlation of the beginnings of self-regulation and state legal regulation of relations related to genetic research. When writing the article, the methods of collecting and studying singularities, the generalization methods, the scientific abstraction methods, as well as the method of inquiry into regularities have been used. This study is characterized by using the experience of foreign self-regulatory organizations and professional associations involved in genetics. In their study, for the first time, the authors have substantiated the conclusion that the model of the optimal correlation of state regulation and self-regulation of legal relations related to genetic research is based on the following principles: 1) informed consent for genetic research and protection of the confidentiality of the obtained information, 2) participation of self-regulating associations of medical geneticists in developing national standards for the quality of medical services in genetic research, as well as the requirements for medical organizations and medical employees who provide them, and 3) legalization of the legal status of a person providing counseling services in genetic research and in associated areas related to defining a strategy for the treatment of genetically determined diseases and the use of assisted reproductive technologies (genetic counselors). In the article it has also been stated that it is necessary to define the legal mode of protecting the information obtained during the genetic research depending on classifying such research as a certain specific category – diagnostic, pre-symptom or prognostic (carried out to assess the vulnerability of an individual to a specific disease). Third parties can only access the results of diagnostic genetic research.
Software Engineering Techniques for Block chain Technology
Authors:   Computer Science and Engineering, Sridevi Women’s Engineeirng College, Hyderabad, India, Babu Dr.T.K.S. Rathish , Balaji Dr.V. ,   Electronics and Communication Engineering, KCG College of Technology, Karapakkam, Chennai, India, Krishana Dr.V Anantha ,   Computer Science and Engineering, Sridevi Women’s Engineeirng College, Hyderabad, India
Published: August 2019

Blockchain science has determined an exceptional quantity of functions, from banking to the web of matters (IoT). Developed from the Merkle Tree, Blockchain technological expertise is a absolutely decentralized digital register which keeps a secure historical past of data exchanges. The decentralization part of Blockchain technological know-how does away the need of any valuable authority for managing it. On this paper we present a complete overview on blockchain technology. The block-chain technological expertise grants an extraordinarily progressive and at ease approach of managing transactions on-line. Hailed as one of the greatest inventions after the internet, it has taken the digital world by means of storm and is disrupting many industries. In the past few years, this technology has gained big value and its utility subject has evolved into a much broader context. The mass adoption of block-chain centered functions has accelerated dramatically and a plethora of such functions is actually available to be used.
A New Edge Computing Based Cloud System for IoT Applications
Authors:   Assistant Professor, SRM Institute of Science and Technology, Kattankulathur Chennai,, V Vijayalakshmi , S Vimal ,   Assistant Professor, Jeppiaar Engineering College, Chennai
Published: August 2019

The mobile internet and the internet of things (IoT) has emerged out with various applications were centralized cloud computing has faced several challenges over the past years. Challenges include high latency and low Spectral Efficiency. Nevertheless, these challenges can be faced using a novel technology which is now emerging out as a major trending technology that supersedes centralized cloud computing with edge devices of networks. Well, this technology will reduce the latency and will enhance spectral efficiency and will also support massive machine types of communication. A detailed description of this trending technology deals with mobile edge computing, cloudlets and fog computing. In addition, the functioning process of each computing technology is also included. The different characteristics of mobile edge computing and fog computing have been focused. However the most significant part of how these technologies work under the discussion of telecommunication network is also briefly explained.
Spatial Regularization and Adaptive Distance Metric Methods through DST for Tumor Segmentation
Authors:   Research Scholar, Department of ECE, Jawaharlal Nehru Technological University Ananthapuramu, India., Jasmine M. , Satyanarayana Prof.P. ,   Professor, Department of ECE, Sri Padmavati Mahila Visvavidyalayam, Tirupati, India., Prasad Prof.M.N.Giri ,   Professor, Department of ECE, Jawaharlal Nehru Technological University Ananthapuramu, India
Published: August 2019

The process of segmentation in MRI pictures is turning into a significant assignment to be considered in clinical oncology applications, in view of the noise and blur that is available normally in MRI images. To minimize this natural disadvantages in the MRI images an imaging tool called belief theory is taken as the base alongside the proposed evidential clustering algorithm (ECM-MS) .This proposed technique joins the adaptive distance metric in so as to limit the clustering distortions and the comparability that happen between the voxels. The local homogeneity is measured by the spatial regularization dependent on the belief theory called Dempster Shafer Theory (DST). To get definite division the surface highlights are extricated from the data picture and is incorporated with the force of the voxels in the proposed strategy, thusly giving a decent presentation contrasted with different strategies.
Luster Sampling to Improve Classifier Accuracy for Numeric Data
Authors:   IT department, CBIT, Hyderabad, India., Reddy D Dr Lakshmi Sreenivasa , Rajini M. ,   Computer Science, Stanley Degree and PG College for Women, Hyderabad, India.
Published: August 2019

Clustering is one of the essential techniques to group similar data. Improving model accuracy is still a challenge for all variety of data. Training and testing a classifier on entire data is not possible for large scale of data. Sampling of the data is necessary for any modeling and is an important aspect in data mining. All models train and test on different samples taken by traditional techniques like random forest ensemble method. In this paper, we propose cluster sampling which is superior to any other sampling methods in improving classifier accuracy. Sampling the data from usual methods cannot cover all variety of data from the original. Cluster sampling is a two-step approach. First it clusters the entire data, second it selects samples from each cluster. These samples consists all verity of data with equal proportion. Cluster sampling leverages the tree based ensemble to handle categorical, numerical and mixed type of data. Classifiers modeled on cluster sampling samples shown superior in accuracy than modeled on other sampling techniques.
Denoising in Magnetic Resonance Images using Improved Gaussian Smoothing Technique
Authors:   Research Scholar, Department of Computer Science and Engineering, Noorul Islam Centre for Higher Education, Kanyakumari district, India., Wilson Beshiba , Dhas Dr.Julia Punitha Malar ,   Professor and Head, Department of Computer Science and Engineering, Noorul Islam Centre for Higher Education, Kanyakumari district, India.
Published: August 2019

Magnetic Resonance Images (MRI) are usually prone to noise like Rician and Gaussian noise. It is very difficult to perform image processing functions with the presence of noise. The objective of our work is to investigate the best method for denoising the MRI images. This study included 25 MRI subjects selected from the Open Access Series of Imaging Studies (OASIS) - 3 database. The 25 brain image subjects includes cases of both men and women aged 60 to 80. The input RGB image is first converted to gray scale image in which the contrast, sharpness, shadow and structure of the color of image are preserved. The proposed work uses an improved Gaussian smoothing technique for denoising Magnetic Resonance Images by constructing a modified mask for Gaussian smoothing. The performance of the proposed technique has been compared with various filters like median filter, Gaussian filter and Gabor filter. The performance evaluation was carried out by metrics like Peak Signal to Noise Ratio (PSNR), Mean Square Error (MSE) and Structural Similarity (SSIM) index. The experimental results show that the Improved Gaussian Smoothing Technique (IGST) performs better than other methods. All experiments were conducted using Scikit Learn version 0.20 and Scikit Image version 0.14.1 under Python version 3.6.7.
Design, Analysis and Implementation of a Novel Soft-Switched Bridgeless Interleaved Boost PFC Converter
Authors:   UG Scholars, Renewable Energy Conversion lab, Department of EEE, SSN College of Engineering, Chennai, India., V Aishwarya. , R Kaviya. ,   UG Scholars, Renewable Energy Conversion lab, Department of EEE, SSN College of Engineering, Chennai, India., C Kavitha. ,   UG Scholars, Renewable Energy Conversion lab, Department of EEE, SSN College of Engineering, Chennai, India, Seyezhai Dr. R. ,   Associate Professor, Renewable Energy Conversion lab, Department of EEE, SSN College of Engineering,Chennai, India.
Published: August 2019

In the modern era, the electronic equipments are widely used and it is required to maintain the supply current harmonics within the standards specified by IEC. Efforts are taken to get better power factor of these supplies using Bridgeless Interleaved Boost Converter (IBC) topology. The efficiency and the power factor of the bridgeless converter is improved in contrast to the conventional PFC as the bridged structure is eliminated. Main objective of the paper is to propose a novel Zero Voltage Switched Bridgeless IBC. This bridgeless configuration is investigated by analyzing the attributes such as output power, mark-space ratio, source voltage, input current with each other. With zero-voltage switching, the voltage regulator can engage in soft switching, which helps to minimize switching losses and electromagnetic interference. This paper also compares performance parameters such as power factor, efficiency, THD and ripple with and without ZVS in a bridgeless IBC circuit. The results show that there is a considerable ripple reduction and power factor improvement with increase in efficiency on incorporating soft switching. Replication of the projected circuit is executed in simulation and the outputs are verified using hardware implementation.
PAPR Performance Analysis of low Complexity SLM for Various Phase Sequences in MIMO-OFDM System
Authors:   Department of ECE, Gayatri Vidya Parishad College of Engineering (A), Visakhapatnam, India., Pyla Srinu , Raju K. Padma ,   department of ECE, J. N. T. University, Kakinada, Kakinada, India., Balasubrahmanyam N. ,   Department of ECE, Gayatri Vidya Parishad College of Engineering (A), Visakhapatnam, India.
Published: August 2019

Multiple Input Multiple Output Orthogonal Frequency Division Multiplexing (MIMO OFDM) is a key technology for contemporary communication systems due to its spectral efficiency, higher data rates, better diversity gain, good link reliability and both inter symbol interference (ISI) and multipath fading free transmission. However, due to the presence of OFDM, MIMO-OFDM suffers from high peak to average power ratio (PAPR). Even though, several schemes are available to mitigate PAPR, there is no standard solution. Selective Mapping (SLM) significantly reduces the PAPR in OFDM systems at the cost of computational complexity (CC). The CC of SLM can be reduced by proper design of SLM. This paper considers a low complexity SLM (LC SLM) scheme in which both the CC and length of the index of selected phase sequence are significantly reduced. The PAPR of an SLM-OFDM depends on the number of subcarriers in OFDM, the number of candidate blocks in SLM and selected phase sequence and this paper investigate various phase sequences and analyses their PAPR performance. Simulation results show the superior performance of Riemann sequence over the other phase sequences.
Improving the Competitiveness of Individual Workforce in the Formation of a Region’s Labor Potential
Authors:   Russian State University of Tourism and Service, Moscow, Russian Federation., Morozovna Lyubov Semenovna , Morozov Vladimir Yuryevich ,   Russian State University of Tourism and Service, Moscow, Russian Federation., Havanova Natalia Vladimirovna ,   Russian State University of Tourism and Service, Moscow, Russian Federation., Litvinova Elena Vladimirovna ,   Russian State University of Tourism and Service, Moscow, Russian Federation., Arifullin Marat Venerovich ,   Russian State University of Tourism and Service, Moscow, Russian Federation., Rozhdestvenskaya Irina Andreevna ,   Financial University under the Government of the Russian Federation, Moscow, Russian Federation.
Published: August 2019

The issue of balanced development of the labor market by expanding the services sector in the regional economy raises the question of using the social reserves of this process. This problem has been a subject of discussion for a long period and is not related only to the transition to market relations. It is in this competitive struggle that own internal social reserves, previously not consciously realized by individuals, can be most fully revealed and realized. The main issue is to identify the socio-economic basis for the formation of a competitive employee. This factor, as well as the processes of disindustrialization, are accompanied by a number of structural changes, including in the field of employment. The increase in labor productivity, the transition to more and more specialized technologies cause a significant release of labor from the mineral wealth and industrial sectors of the economy and their overflow into the services sector.In modern Russian conditions, this is all more relevant because the restructuring of the national and regional economy and post-crisis phenomena have caused significant changes in employment, while not in a positive way.
Society 5.0: a Self-Devouring System
Authors:   Kazan (Volga Region) Federal University, Russia, Tatarstan, 420008, Kazan, Kremlyovskaya Street, house, Nurullin Rafail Asgatovich
Published: August 2019

The subject matter of the paper is a philosophical analysis of the civilization-cultural development strategy Society 5.0. The strategy emerged from the idea of the Japanese government formulated in 2016. A critical analysis shows that this development program contains systemic contradictions and risks. Nevertheless, the idea seems to be achieving the goals of modern humanism in the conditions of information civilization development. The research methodology stems from the principles of consistency, complementarity, fractality and the dialectics of the concepts which are as follows: culture and civilization, linear and nonlinear development, etc. There is much evidence that today the integration of mankind has become global. The process leads to, firstly, the changes in the scales of human subjectivity, and secondly, the attitude of man to chance and need. All these characteristics are fraught with threats to the holistic existence of mankind, and the possibility of people’s coming out of the crisis to the new levels of development. Private culture, which previously served as a powerful integrator of society, is losing the opportunity to carry out an ideological, and as a result, educational function in the conditions of an informational civilization. The transition of humanity from the monocultural to the multicultural way requires of relations between culture and civilization being based on the principles of complementarity. The construction of humanity as a self-organizing system is possible only through the management of civilization processes through culture, i.e., through the spiritual improvement of the human person. Evidence suggests that the principles laid down in the Society 5.0 development program do not meet these requirements. The program aims to implement the principle of positive feedback, as it tries to solve global problems of civilization with civilization practices. Theoretically, the achievement of harmonious relations between civilization and culture becomes possible on condition of the principle of complementarity. However, this principle also implies the rule of negative feedback.
Creation of the Reporting on Sustainable Development of Companies Based on Socioeconomic Measurement Statistics
Authors:   Department of the Accounting, Analysis and Audit, Financial University under the Government of the Russian Federation, Petrov A.M. , Nikiforova E.V. ,   Department of the Accounting, Analysis and Audit, Financial University under the Government of the Russian Federation, Kiseleva N.P. ,   Department of the Accounting, Analysis and Audit, Financial University under the Government of the Russian Federation, Grishkina S.N. ,   Department of the Accounting, Analysis and Audit, Financial University under the Government of the Russian Federation, Lihtarova O.V. ,   Department of the Accounting, Analysis and Audit, Samara State University of Economics
Published: August 2019

The importance of statistical data disclosed in the reporting on the sustainable development of economic agents under unstable economic conditions is revealed in the article. The principles and methods of preparing the reporting on the sustainable development of economic agents are defined. The fundamental principle of sustainability in development is the requirement of compliance with the sustainability criteria in operation. According to the concept of sustainable development for economic agents, it is necessary to form ways of long-term strategic development in order to increase the business value taking the requirements of the socioeconomic and environmental responsibility into account, which prioritizes provision of such information as statistical data for conducting research. The involvement of economic agents in the concentration of sustainable development by creating the reporting for stakeholders will allow society to achieve the greatest effect from the activities of such business entities.
Accounting System in Terms of Modern Information Technology
Authors:   Financial University under the Government of the Russian Federation, Moscow, Russia., Polenova Svetlana Nikolaevna , Mislavskaya Natalya Anatolyevna ,   Financial University under the Government of the Russian Federation, Moscow, Russia., Sotnikova Lyudmila Viktorovna ,   Financial University under the Government of the Russian Federation, Moscow, Russia., Ermakova Marina Nikolaevna ,   Financial University under the Government of the Russian Federation, Moscow, Russia.
Published: August 2019

Economic entities taking diverse managerial decisions rely primarily on enterprise information system data, including accounting. The purpose of this article is to examine the issues of generating reliable and useful information in Russian accounting and reporting during the use of advanced technologies of accounting process automation, and to justify the possible ways of their solutions. Scientific developments in the field of modern information technologies, accounting and reporting have served as a methodological and theoretical basis of the work conducted by the authors. The methods of generalization, analysis, synthesis, detailing, and grouping have become the special methods of research and analysis. The obtained results have allowed to explain the problems to be solved: the qualification level of experts, ethical and moral component in the accounting profession, the unreliability and inadequacy of accounting information, loss of accounting data due to possible hacking of cloud servers, etc.
Modeling of Economic Risks of an Industrial Enterprise using a Tree of Logical Possibilities
Authors:   Moscow State Institute of International Relations (MGIMO University), 76, Prospekt Vernadskogo, 76, Moscow, 119454, Russian Federation, Dudin Mihail Nikolaevich ,   Russian Presidential Academy of National Economy and Public Administration (RANEPA), 82, Vernadsky Prosp., Moscow, 119571, Russian Federation, Reznik Elena Anatolievna ,   Russian Presidential Academy of National Economy and Public Administration (RANEPA), 82, Vernadsky Prosp., Moscow, 119571, Russian Federation, Alferov Valery Nikolaevich ,   Financial University under the Government of the Russian Federation (Financial University), Leningradskij prospekt, dom № 49. Moskva, 125468, Russian Federation, Vysotskaya Nataliya Vladimirovna ,   National Research University Higher School of Economics (HSE), 20 Myasnitskaya str., Moscow, 101000, Russian Federation; Russian University of transport (RUT (MIIT), Obraztsova str, d. 9, p. 9, Moscow, 127994, Russian Federation, Moshkin Igor Aleksandrovich ,   Moscow Metropolitan Governance University, Sretenka, 28, Moscow, 107045, Russian Federation
Published: August 2019

The aim of the study is to simulate the probability of occurrence of economic risks in industrial enterprises using trees of logical possibilities, and the subsequent ability to manage them. To solve the set goal, the method of expert survey was used. The expert evaluation was carried out by the ranking method to determine the probability of occurrence of each of the economic risk components. The expert evaluation involved executives of industrial enterprises and managers of commercial banks. According to the research results, the risk assessment of an industrial enterprise should be focused on the study of the impact of primary economic risks. This can be done by building a tree of logical possibilities (usually called also logic tree) of occurrence of industrial, commercial, and financial risk components of the industrial enterprise. Visualization of the study using trees of logical possibilities along with conducted expert survey will help to establish quickly and clearly the levels of risk components and predict the state of the enterprise based on the actual circumstances.
Technologies of Corporate Social Responsibility in Accounting and Statistics
Authors:   Department of the Accounting, Analysis and Audit, Financial University under the Government of the Russian Federation, Moscow, Russia., Vorozheykina T.M. , Muravitskaya N.K. ,   Department of the Accounting, Analysis and Audit, Financial University under the Government of the Russian Federation, Moscow, Russia., Lukyanenko G.I. ,   Department of the Accounting, Analysis and Audit, Financial University under the Government of the Russian Federation, Moscow, Russia., Antonova O.V. ,   Department of the Accounting, Analysis and Audit, Financial University under the Government of the Russian Federation, Moscow, Russia., Lyalkova E.E. ,   Department of the Accounting, Analysis and Audit, Financial University under the Government of the Russian Federation, Moscow, Russia., Basova M.M. ,   Department of the Accounting, Analysis and Audit, Financial University under the Government of the Russian Federation, Moscow, Russia.
Published: August 2019

This article describes the insights of the future evolution of financial accounting in the context of the digital economy, and the strategy for introducing corporate social responsibility into financial accounting and reports. The requirement for introducing corporate social responsibility is explained primarily by the companies’ growing awareness of their obligations to society. Companies in the modern world tend to do business with due account of the current social tasks and issues. Those businesses that do consider the implications of their operations make corporate social responsibility their strategic priority. The pioneers in corporate social responsibility, who were the first to speak openly on the topic, were Mr. G. Swope, President of General Electric, and Mr. W. Gifford, President of American Telephone and Telegraph Company. The idea of the social responsibility of business has spread all over the world and was adopted by many companies, resulting in the emergence of the concept of corporate social responsibility. Today, business is a valid corporate citizen exercising its influence on the social, economic and political environment. As such, it may not allow itself to neglect the social background of its activities since it may result in the deterioration of its public image and the way it is perceived by its consumers and investors.
The "Project Management" Program: Technologies for Implementation
Authors:   Research Institute of the Federal Penitentiary Service of Russia, Moscow, Russia., Sergeeva Marina Georgiyevna
Published: August 2019

For practical implementation of a model of organizing individual creativity of cadets in the educational process of a military higher education institution based on project activities, the "Project Management" program was developed and implemented for members of the experimental group. The purpose of the program is to develop the individual creativity of cadets in extracurricular project activities. Cadets' individual creativity is considered as a personal intellectual and practical activity, aimed at creating new individual and socially-significant values, where a cadet acts as a subject of creative development. Axiological, cognitive-creative and operational components are distinguished in the structure of individual creativity.
3D Face Reconstruction Techniques: Passive Methods
Authors:   Department of Computer Science & Engineering, Faculty of Engineering, Christ (Deemed to be University), Bangalore, India., John Sincy , Danti Ajit ,   Department of Computer Science & Engineering, Faculty of Engineering, Christ (Deemed to be University), Bangalore, India.
Published: August 2019

In the recent literature, 3D face reconstruction received wide interest and has become one of the significant areas of research. 3D face reconstruction provides in depth details on geometrics, texture and color of the face, which are utilized in different applications. It supports a multitude of applications, ranging from face recognition and surveillance to medical imaging, gaming, animation, and virtual reality. This paper attempts to consolidate the research works that have happened in the history of 3D face reconstruction. Also, we try to classify the existing methods based on the input for the process. The databases used in the recent works are discussed and the performance evaluation of methods on different databases is analyzed. The challenges addressed in recent studies are mainly focused on the faster reconstruction of 3D Images, improved accuracy of reconstructed images, human pose identification, image reproduction with higher resolution. Researchers have also tried to address occlusion related problems. Passive methods, used by different researchers are analyzed and their effects on different parameters are discussed in this work. Finally, possible future areas for improvement in terms of reconstructions are presented for the benefit of researchers.
Isolation and Identification of Lactic Acid Bacteria from Dangke a White Soft Traditional Cheese from Enrekang Regency
Authors:   Ph.D Candidate of Graduate School of Hasanuddin University, Makassar, Indonesia., Zakariah M. Askari , Malaka Ratmawati ,   Professor Agriculture Program of Graduate School of Hasanuddin University, Makassar, Indonesia., Laga Amran ,   Professor Agriculture Program of Graduate School of Hasanuddin University, Makassar, Indonesia., Ako Ambo ,   Professor Agriculture Program of Graduate School of Hasanuddin University, Makassar, Indonesia.
Published: August 2019

Dangke is a White soft traditional cheese from Enrekang Regency. It have a potential to have Lactic Acid Bacteria isolate. Lactic acid bacteria could be produce a bacteriocin to inhibit pathogenic bacteria. Sample of dangke were obtained from 3 district (Enrekang, Cendana, and Bamba) in Enrekang Regency. All isolate were tested for characteristics based on Gram straining, and biochemical tested. Isolation and identification of Lactic Acid Bacteria from dangke a white soft traditional cheese were suspected to be Lactobacillus lactis, Lactobacillus bulgaricus, Leuconostoc dextranicum, and Streptococcus thermophillus.
Two Pass Multidimensional Key Generation and Encryption Algorithm for Data Storage Security in Cloud Computing
Authors:   Department of Computer Science, Jamia Millia Islamia, New Delhi, India., Tajammul Mohd. , Parveen Rafat ,   Department of Computer Science, Jamia Millia Islamia, New Delhi, India.
Published: August 2019

Many companies which essentially required cloud computing services are still in ambivalence whether to adopt it or not. In this research paper an attention has been drawn on security of storage as a Service which is an integral part of Infrastructure as a Service which provide famous CSP, AWS. Whenever someone rent the storage from the cloud service provider, chances of its compromising can take place. Therefore it is intelligence to encrypt the data before uploading it to the cloud and more intelligently divide the data into fragments and encrypt these fragments separately and then upload on cloud. Suppose that if this data is divided into n fragments then n algorithm are required to encrypt these fragments or use single one algorithm and change its key n times otherwise if only one key will be used and someone steal this key then all fragments will be decrypted with the same key. Many algorithms like DES, AES, RSA, Elgamal and Blow Fish are there but they all are static in nature and one more weakness of these algorithms is that size of encrypted file increased. While some researchers used these algorithms in combination and some used double encryption, nevertheless nature remains static and decrypted file size increase rapidly. Now, there is a requirement to design a data sensitive algorithm which could sense data and produce different key for different data automatically. In this paper Two Pass Multidimensional Key Generation and Encryption Algorithm has been proposed which will sort the above problem. Another beauty of this algorithm is that it checks the integrity of the documents while decrypting. Out of millions or billions of characters if only one character or word is altered or removed then this algorithm will show that documents integrity has been violated.
A GIS Based Method for Assessing the Association Between Urban Development and Crime Pattern in Sungai Petani, Kedah Malaysia
Authors:   School of Government, COLGIS, Universiti Utara Malaysia, Kedah, Malaysia., Mansor Nur Suhaili , Mohd Shafri Helmi Zulhaidi ,   Department of Civil Engineering, Faculty of Enginnering, Universiti Putra Malaysia, Selangor, Malaysia., Mansor Shattri ,   Department of Civil Engineering, Faculty of Enginnering, Universiti Putra Malaysia, Selangor, Malaysia.
Published: August 2019

Physical development plays a vital role in the urban area that consists of the needs of the physical structure and social process that challenges towards the improvement of the local's well-being. The research evaluates the relationship between urban development and crime pattern using spatial analysis. The research uses satellite imagery data and remote sensing technique to detected urban changes from 2000 until 2013 in Kedah, Malaysia. The result of the research is generated a spatial analysis that identified the hotspots and directional of criminal activities in the study area. The result indicated that they are a positive relationship between urban development and criminal activities, particularly violent crime, property crime and drug abuse case. The result from in-depth interview with the locals indicated that majority of locals in the study area felt unsafe with criminal activities occurring within their neighborhood and negatively impacting their well-being. Industrial and commercial area identified as the hotspot of the criminal activities in the study area. The research can help government and police department to curb the increasing number of criminal activities within the urban setting and achieved their aim to reduce criminal activities index annually.
Deflection Behaviour of RC Beams using Reshaped Waste Tyre Rubber as Partial Replacement of Coarse Aggregate
Authors:   Research Scholar, Department of Civil Engineering, Karpagam Academy of Higher Education, Coimbatore, India., Harikaran M. , Balasundaram N. ,   Professor & HoD, Department of Civil Engineering, Karpagam Academy of Higher Education, Coimbatore, India.
Published: August 2019

The increasing demand of natural resources for the concrete production has impacted the surroundings and the concern to protect these natural resources is increasing. Lately, handling and management of scrap is the primary issue faced by the countries worldwide. The waste problem is the most important problems facing the world as a source of the environmental pollution. One of the censorious wastes to be control in today is ‘waste tyre’ because; recent development in transportation has create big number of vehicles, which produce huge quantities of used tyres. Disposing such waste tyres is a critical waste management concern around the world at the moment. Various research work had been conducted in the past which had results that showed reduction in the mechanical energy of the concrete. The motive of this study is to use the reshaped waste tyre rubber as partial alteration of coarse aggregate in the concrete and to examine the outcome of providing an mooring hole of10mm in dia on the surface of the rubber gravel which makes the cement plaster to form a cylindrical mooring between the gravel and the concrete as well work as are bar to the rubber gravel thereby, increase withstanding power to failure under load which simultaneously increase the strength. The partial replacements of coarse aggregates are done at 0%, 5%, 10%, 15% and 20% by quantity of coarse gravel. The resulting concrete beams are tested for the physical characteristics of concrete. The Comparison of flexural response of beams are made with ordinary Portland cement concrete (OPCC)and Reshaped Waste Tyre Rubber Aggregate Concrete (RWTRAC)for various compositions of Reshaped Waste Tyre Rubber Aggregate replacement to coarse aggregate. Consequently the tests on RWTRAC beams of 10 % rubber aggregate replacement are conducted and results indicated that all the beams are failed in pure bending region and gives deflection nearly same as the conventional beam with the influence of the ultimate moment. Based on the observations during testing, the beams failed in pure flexural compression failure mode. Ductility factor of RWTRAC beam also showed enhanced performance when compared with the performance of conventional concrete. After testing it is inferred that till 10% of RWTRA replacement, the compressive and flexural strength of concrete is nearly same as the conventional concrete, but from 10 to 20% the strengths are abruptly fallen.