bluuebunny/crossref_metadata_2025 huggingface dataset:
Predicting the Poverty Alleviation in the Province of Eastern Samar using Data Mining Techniques
Authors:   Information Technology Department, Eastern Samar State University – Guiuan Campus, Guiuan, Philippines., Celis Jared Harem Q. , Pagatpatan, Jr. Dr. Andres C. ,   Administration, Eastern Samar State University – Guiuan Campus, Guiuan, Philippines.
Published: October 2019

Poverty has been a main concern for century in any part of the world. The abrupt increase of population in the country and the inevitable rise of the inflation rate due to the economic challenges and other factors, it is clearly manifested that poverty is a problem that needs to be addressed seriously. With the available various advanced-technology nowadays, this problem on poverty maybe reduced with the aide of Data Mining which is a part of Data Science. This paper focused on predicting the poverty alleviation using Data Mining techniques based from all available data from the Philippine Statistic’s Authority, National Economic Development Authority, and Department of Social Welfare and Development. The application of supervised learning in Data Mining specifically, NaiveBayes Algorithm, Decision Tree J48 Algorithm, and K- Nearest Neighbour Algorithm has been utilized for the prediction of poverty alleviation in the province of Eastern Samar. The results of this study unveil that among the core indicators in identifying poverty, it is the “Economic Sector” with the attribute “Income” is the most significant factor that affects poverty alleviation in the province.
Probit Regressed Feature Selection Based Linear Programming Boost Classification for Tumor Risk Factor Identification and Disease Diagnosis
Authors:   Research Scholar, Jairams Arts & Science College, Karur-3., Renjeni* P. S. , Mukunthan Dr. B. ,   Research Supervisor, Jairams Arts & Science College, Karur-3.
Published: October 2019

Accurate diagnosis of survival rate in patients with tumor remains challenges due to the increasing complexity of treatment protocols, and different patient population samples. Due to the complexity, the risk factor of the patients gets increased. Therefore, a reliable and well-validated prediction needs to develop the automatic disease diagnosis for early detection of the tumor. The novel technique called Probit Regressed Feature Selection based Iterative Linear Programming Boost Classification (PRFS-ILPBC) is introduced for tumor risk factor identification and disease diagnosis of patient data with higher accuracy and lesser time consumption. In PRFS-ILPBC technique, Probit Regression model is a regression type to estimate the relationship between the features and the disease symptoms using bivariate correlation coefficient. Based on the correlation results, the features fall into any one of the two classes (i.e. relevant or irrelevant). With the help of relevant feature, Iterative Linear Programming (LP) Boost Classification model is applied to perform classification by combining the weak learner for tumor risk factor identification and disease diagnosis. LPBoost constructs the strong classifier through initiating with a set of weak classifiers. The training data (i.e. patient data) are taken as the input and added to the set of considered weak classifiers. The kernelized support vector machine act as weak learner compares the training features with the testing results to identify the risk factor and classify the patient data into normal or abnormal. The ensemble classifier improves disease diagnosis accuracy and reduces the false positive rate. Experimental evaluation of proposed PRFS-ILPBC technique and existing methods are carried out with different factors such as disease diagnosing accuracy, false positive rate, and computation time with respect to a number of patient data. The observed results reported that the proposed PRFS-ILPBC technique achieves higher disease diagnosing accuracy with minimum computation time as well as false positive rate than the conventional techniques.
Development of a Turbine Diffuser for a 50 Kw High-Performance Microgas Turbine Plant
Authors:   Federal State Unitary Enterprise Central Scientific Research Automobile and Automotive Institute ", Valeev* Anton Gaerovich ,   NAMI",   (FSUE «NAMI»), Moscow, Russia., Kostyukov Andrey Veniaminovich ,   Federal State Unitary Enterprise Central Scientific Research Automobile and Automotive Institute "NAMI" (FSUE «NAMI»), Moscow, Russia., Nadareishvili Givi Guramovich ,   Federal State Unitary Enterprise Central Scientific Research Automobile and Automotive Institute "NAMI" (FSUE «NAMI»), Moscow, Russia.
Published: October 2019

The article is devoted to the optimization of annular diffusers of radial-axial turbines of small-sized gas turbine engines. It shows the results of verification of the used mathematical models for calculating the flow using experimental performance charts for annular diffusers. The results of the geometry optimization of the developed diffuser are presented. The final part of the article covers the results of the optimization of the diffuser geometry by the swirl angle of the inlet flow. As a result, a highly efficient diffuser was designed for a 50 kW microturbine under development.
Fostering Talented Employees' Loyalty in Circumstances Where Artificial Intelligence is Applied
Authors:   Department of Personnel Management and Personnel Policy, Russian State Social University, Moscow, Russia., Vinichenko* Mikhail V. , Сhulanova Oхana L. ,   Department of State and Municipal Management, Surgut State University, Surgut, Russian Federation., Rybakova Marina V. ,   Department of Sociology of Management, Lomonosov Moscow State University, Moscow, Russia., Melnichuk Alexander V. ,   Department of Personnel Management and Personnel Policy, Russian State Social University, Moscow, Russia., Makushkin Sergey A. ,   Department of Personnel Management and Personnel Policy, Russian State Social University, Moscow, Russia., Malyshev Maksim A. ,   Department of Sociology of Management, Lomonosov Moscow State University, Moscow, Russia.
Published: October 2019

The article discusses the problem of fostering talented employees' loyalty in circumstances where artificial intelligence is applied. The intensification of competition under the conditions of another forthcoming economic crisis triggered the technological application of artificial intelligence with the conjoined fostering of talented employees' loyalty. The analysis of the results of the Google Form survey by the focus group has shown that a favorable environment prevails within organizations, which in general allows using talented employees' potential efficiently to the maximum possible extent. Discrimination, envy, and indifference of colleagues do not have that much effect on talented employees' loyalty. Creation of more favorable labor conditions for talented employees is contradictory and predetermines the discontent of other corporate employees, which may result in conflicts, the ethnic ones inclusive. The article presents the nature of the influence of artificial intelligence on talented employees' development for the first time. The majority of respondents regard this effect as a positive one (63%). The originality of the research lies in revealing the character of relations between the leaders of natural intelligence – talented employees – and artificial intelligence. This study may form the basis for reducing risks while working with talented employees in conditions where artificial intelligence is applied.
Application of Simulator Complexes as an Innovation Method for Improving the Preparedness of Fire Rescue Department Members of Emercom of Russia for Emergency Response
Authors:   Saint Petersburg University of State Fire Service of EMERCOM of Russia, St. Petersburg, Russia, Komarov M.I. , Say V.V. ,   Saint Petersburg University of State Fire Service of EMERCOM of Russia, St. Petersburg, Russia, Tursenev S.A. ,   Saint Petersburg University of State Fire Service of EMERCOM of Russia, St. Petersburg, Russia
Published: October 2019

The paper describes the necessity to use simulator complexes simulating the extreme conditions of execution of professional applied tasks as an innovation method for developing professionally important qualities of fire rescue department members of the EMERCOM of Russia. The main parameters of professionally important qualities of fire rescue department members of the EMERCOM of Russia are shown in detail. The level of importance of professionally important qualities and their characteristics were evaluated. The importance of professional training and also the necessity to constantly develop and improve the practical skills and knowledges of fire rescue department members of the EMERCOM of Russia by means of systematic trainings using simulators and simulator complexes were grounded. The innovation methods of education were described basing upon the simulator complexes simulating the extreme conditions of execution of professional and applied tasks by a member of the fire rescue department of the EMERCOM of Russia.
Global Labor Market: Providing Employment Opportunities for Young Professionals
Authors:   Voronezh State University, Voronezh, Russia., Endovitsky* Dmitry Alexandrovich , Durakova Irina Borisovna ,   Voronezh State University, Voronezh, Russia.
Published: October 2019

The article is devoted to research into retention strategies with a focus on young professionals working in the global labor market. Elements of statistical and economic analysis were used for further development of a Russian problem-solving model to be employed in this sphere. The lack of qualified specialists typical of European countries is becoming increasingly relevant in the Russian labor market. Russian employers have accumulated certain experience of retaining young talent in nationally oriented organizations, but as far as overseas expansion of business is concerned, the same aspect has been explored to a lesser degree. The research base insufficient for making statistical conclusions about the scale of this phenomenon and distribution groups of its manifestations hampers diagnostics and prevention of corresponding problems. The article substantiates the viability of international experience of researching risks involved in HR management and sets out groups of primary and secondary sources of HR risks. The nature of HR management problems in the context of the global labor market is also explained in the article. Scientific theories concerning young talent motivation are structured according to staffing policies: ethnocentric, polycentric, regiocentric and geocentric. The authors have identified specific features of scientific ideas of the values and behavior patterns preferred by young professionals, which can help to develop corresponding retention strategies.
Linear Prediction of Non-Overlapping Codons in a Genome Sequence
Authors:   Research Scholar, Dept. of Computer Science, MG-NIRSA, Affiliated to University of Mysore, Manasagangotri, Mysore, Karnataka, India., Pedakolmi Venkateswarlu , Rajan Prof. E.G. ,   Director, MG-NIRSA; Director, PRC Global Technologies Inc., Ontario, Canada.
Published: October 2019

The concept of ‘non-overlapping n-ary codons’ is proposed in this paper as a novel approach to the study of genome sequences in the framework of theoretical computer science. Given a genome sequence of length N, one can have (N/n) non-overlapping n-ary codons with 0 or 1 or up to n-1 unused nucleotides left out in the sequence. Unused nucleotides are not considered in the scheme of genetic code.
An Efficient Gastrointestinal Hemorrhage Detection and Diagnosis Model for Wireless Capsule Endoscopy
Authors:   Department of Computer and Information Science, Annamalai University, India., Ponnusamy* R. , Sathiyamoorthy S. ,   Department of Computer and Information Science, Annamalai University, Tamil Virtual Academy, India
Published: October 2019

Wireless Capsule Endoscopy (WCE) captures the section of human gastrointestinal (GI) tract which is impossible by the classical endoscopy investigations. A main limitation exist in the method is the requirement of analyzing massive data quantity for detecting the diseases which consumes more time and increases the burden to the physicians. As a result, there is a requirement to effectively develop an automated model to detect and diagnosis diseases on the WCEimages. The design of the presented model depends upon the examination of the patterns exist in frequency spectra of the WCE frames because of the occurrence of bleeding regions. For the exploration of the discriminating patterns,this study presents a new feature extraction based classification model is developed. An efficient Normalized Gray Level Co-occurrence Matrix (NGLCM) is applied for extracting the features of the GI images. Then, a kernel support vector machine (KSVM) with particle swarm optimization (PSO) is applied for the classification of the processed GI images. The experimentation takes place on the benchmark GI images to verify the superior nature of the presented model. The results confirmed the enhanced classifier outcome of the presented model on all the applied images under several aspects.
Relevance of Quantitative Easing Model to Heal the Sick Indian Economy
Authors:   Research Scholar, Rayalaseema University, Kurnool-518004, Assistant Professor, Dr.K.V. Subba Reddy School of Business Management, Kurnool-518218, Andhra Pradesh, Reddy R. Sarveswara , Renuka Ajjada ,   Assistant Professor, CMR Engineering College, Medchal-501401,Telanagana., Basha Dr. S. Nayamath ,   Associate Professor, Shadan Institute for Computer Studies, Hyderabad-500004, Telangana., Mazeed Shaik Abdul ,   Research Scholar (Part-Time), Yogi Vemana University, YSR Kadapa-516005, Andhra Pradesh,, Ayeesha O. ,   Assistant Professor, MarriLaxman Reddy Institute of Technology & Management, Dundigal, Hyderabad-500043, Telangana.
Published: October 2019

The present situation of Indian economy is worse. The GDP growth rate is 5% which is very low compared to last five years trend. After a record fell down of short-term interest rates of commercial banks (below one percent), the Reserve bank of India has turned to quantitative easing (QE) to hold up economic growth. It is used by the government to amplify the supply of money in the economy. It leads to an increase in lending by commercial banks and spending by customers subsequently. On the other hand, these policies will boomerang greatly on economy and leads to extraordinarily high levels of inflation. If commercial banks fail to afford excess reserves, it may direct to unhinge in the money market. Simply it jeopardizes the entire economic system. To come out from this, Reserve Bank of India injects a fixed quantity of money into the economy by massive and unprecedented purchasing of financial assets from commercial banks and private entities. This leads to an increase in banks reserves. Quantitative easing is not a new word to the economic world; it is most popular from the times of great recession in US economy. There has been an explode of research on QE and its effects. Past studies tremendously agree that QE helps in ease financial conditions and there is no reason to doubt that it supports economic growth. It is not only very powerful in times of financial crisis, but also has a momentous effect in normal times. By and large, this research paper focuses on finding the reasons behind the slowdown of growth rate of Indian economy and provides the likely solutions to come out from the crisis.
Administration of Post-Reformation Decentralization Government
Authors:   Al Asyariah University, Mandar, Indonesia, Sahabuddin Chuduriah , Muliaty Muliaty ,   Politeknik Negeri Media Kreatif, Makassar, Indonesia, Farida Umi ,   STIE Amkop Makassar, Makassar, Indonesia, Hasbi  ,   Univeristas Hasanuddin, Makassar, Indonesia, Yusriadi Yusriadi ,   Sekolah Tinggi Ilmu Hukum Pengayoman, Makassar, Indonesia
Published: October 2019

Decentralization is a policy for regions to maximize the functions of a regional government authority. Proportional and optimal power in mobilizing every resource in the area will make the region have independence in developing the part. The method used is a literature study; besides, the authors also use media such as newspapers, magazines, bulletins, and other sources relating to the discussion as reference material in reviewing the debate, analysis using descriptive-analytic methods. Decentralization implemented in the city of Makassar has made a very positive contribution to the people of Makassar, because, with devolution, the Makassar city government can plan its development independently for the sake of a sustainable city. The implementation of decentralization in the town of Makassar has implications for the progress of regional development; this can see in the physical event in the city and the level of economic growth
Indoor Air Pollution and Concerned Health Costs in Indian Context
Authors:   Department of Economics, Gauhati University, Assam, India., Kalita Unmilan , Hazarika Arup Kumar ,   Department of Zoology, Cotton University, Assam, India.
Published: October 2019

Clean air is considered the fountain of life that enables humankind to sustain healthy lives while supporting unique ecosystems of the Earth. The United Nations, being the supreme policymaking body in the world, has duly stated that “clean air is a human right”. The underlying reason for this derives itself from gruesome statistics asserting that between 6 and 7 million people die prematurely each year due to air pollution, and around 90% of the global pollution breathes polluted air. Being the existential threat pollution is, most of it is caused by burning of fossil fuels that contributes not only to climate change but also deteriorating human health. A significant portion of air pollution is constituted by indoor air pollution through carbon dioxide (CO2) emissions, which has been a major cause of concern for India. It has been observed that 9 out of 10 people in India breathe air that breached safe limits and 7 million people die each year due to household air pollution through exposure to fine particles causing cardiovascular diseases, lung cancer and other pulmonary diseases. Women form a significant portion of such sufferers, whereby, a WHO report has found that mothers were more likely to deliver underweight babies in households with indoor air pollution from solid fuels. Associated with this, is the issue of increasing household expenditure on health vis-à-vis women. This paper examines the impact of such indoor pollution on women vis-à-vis health costs as part of their household expenditure allocations. Observations emphasise the need to reverse such trend of increasing indoor air pollution while moving on to a phase of employing greener fuels and technologies among households, and associated sensitive policymaking. This is expected to not only increase the standard of health among women of different strata but also will propel the productivity of human capital on a per capita basis.
Massive MIMO and Hybrid Optimization for It's Beamforming
Authors:   E&C department, Sardar vallabhbhai patel institute of technology, Vasad, India., Patel* Saurabh M , Bhatt Kiritkumar R ,   E&C department Sardar vallabhbhai patel institute of technology, Vasad, India.
Published: October 2019

The tremendous growth of traffic in wireless communication (WC) system has resulted in inadequate network capacity. 5th Generation (5G) is seen as next generation wireless communication system implemented with massive multiple-input multiple-output (M-MIMO) technology. It will play major role in future communication system. M-MIMO objective is high throughput and high speed. Beamforming technique is a key to high throughput objective - achieved by reduction in errors occurring in data transmission and reception. The intent of this research paper is to review - beam forming techniques implemented in M-MIMO and research work in this particular area. Paper classifies optimized beamforming techniques in detail for determining appropriate techniques that can be deployed in M-MIMO. Understanding limitations of present techniques and suggesting new approach for better throughput is outcome of retrospective analysis.
Industrial Automation using Zigbee Communication Protocol
Authors:   Research Scholar, Department of ECE, University of Technology, Fatehpura Road, Post Kumhariawas,Vatika, Tehsil Sanganer, Jaipur., Mahmood* Syed Sultan , Sharma Dr. Pramod ,   Faculty of Engineering, Department of ECE, University of Technology, Fatehpura Road, Post Kumhariawas,Vatika, Tehsil Sanganer, Jaipur.
Published: October 2019

If we compare wireless communication over wired communication, wireless communication offer more advantages when compared to wired communication such as lower cost, fast deployment, higher flexibility & scalability and mobile nature of system communicated wirelessly. In Industrial automation, industrial communication has very challenging requirements like packet deadline, low transmission jitter, etc. In some places wired communication is only accepted and it cannot be replaced by wireless communication. Industrial applications also run more flexible requirements applications such as email, Video content or any other application. Those services are known as Best Effort (BE) services. In order to do both the industrial application and BE services we have proposed Zigbee communication together with the IEEE 802.11 standard in this article along with comparison between the two standards using physical layer solutions. This Zigbee communication is performed using a industrial automation design and it leads to less power consumption. Result and analysis in terms of real time services is left as a future work in this paper. It is proposed that through Zigbee solution it is possible to obtain better result in certain cases than those achieved using IEEE 802.11 standards.
Effect of Elevated Temperatures on Fiber Reinforced Self Compacting Concrete
Authors:   HOD & Professor, Department of Civil Engineering. Gokaraju Rangaraju Institute of Engineering and Technology, Hyderabad, India., reddy* Dr.V. Mallikarjuna , Vasanthi S. ,   M. Tech Student, Department of Civil Engineering, Gokaraju Rangaraju Institute of Engineering and Technology, Hyderabad, India.
Published: October 2019

The present investigation is mainly focused on study the temperature effects on SCC reinforced with steel fibers on M40 grade of concrete. The main objective of the investigation is inspired from the real world - to know the strength of a concrete after subjected to an elevated temperature. Steel fibres with an aspect ratio of 40varied at a fibre dosage of 0, 1, and 1.5%by the weight of the cement used in this investigation. In this study concrete is exposed to five different residual conditions. In addition to the room temperature there are four different temperatures of 100˚c, 300˚c, 500˚c and 800˚c are considered at a retention period of 1, 2, 3 and 4 hours in muffle furnace. Compressive strength conducted after 28 days of curing. From the experimental results it is observed that SCC with steel fibres reduced the workability on the contrary there is increase in compressive strength observed with the addition of fibres. It is also observed that SCC with steel fibres has shown the better performance compared to control mix at elevated temperatures. This is mainly due to fibres are participated in delaying the cracks.
Assessment of Various Agitation Speeds for Co Digestion Process
Authors:   Assistant professor, Department of Civil Engineering, Periyar Maniammai Institute of Science and Technology, Thanjavur, Tamilnadu, India, J* Santhosh. , R Jayanthi. ,   Professor and Head, Department of Civil Engineering, Periyar Maniammai Institute of Science and Technology, Thanjavur, Tamilnadu, India
Published: October 2019

In the present day context of environmental pollution, the continuous generation of organic wastes and its improper management has been playing a vital role. Current global Municipal Solid Wastes (MSW) generation levels are approximately 1.3 billion tonnes per year and are expected to increase to approximately 2.2 billion tonnes per year by 2025. These wastes have to be properly treated and should be safely disposed. Among the various processing technologies, the anaerobic digestion technology in the form of Co digestion process is the most valuable approach in the waste management sector as it provides a bio fuel and organic rich manure to the society. It requires a good operation technique like mixing in order to maintain the stability of the digester for biogas production. An attempt has been made by utilizing different types of wastes in a lab scale reactor for co digestion process with mixing technique. Kitchen wastes, Poultry Litter and slaughterhouse wastes were used as substrates and fresh cow dung as inoculum. Three Organic Loading rates of 2.5 g VS l/day, 2.68 g VS l/day and 2.83g VS l/day were taken with the hydraulic retention time of 35 days. The mixing was performed through the mixer at various speeds of 30 rpm, 45 rpm, 60rpm and 100 rpm during the co digestion process. When compared to other agitation speeds like 30rpm, 60 rpm and 100rpm, 45 rpm agitation speed performed its digestion upto 80th day with the minimum gas production of 0.1 l/day. The stability of the digester also maintained well with the VFA/Alkalinity ratio of 0.17 on the day of maximum yield and 0.12 at the end of digestion period. The percentage of Total Solids reduction and Volatile solids reduction for 45rpm agitation speed was 51.04% and 55.49% respectively. Hence, the agitation speed of 45rpm had been chosen as the optimum speed for lab scale co digestion process.
Short Term Road Traffic Flow Forecasting using Artificial Neural Network
Authors:   Research Scholor, Department of Statistics, OSMANIA University, Hyderabad, India,, Sumalatha* V. , Dingari Manohar ,   Research Scholor, Department of mathematics, GITAM University, Hyderabad,502329 India., Jayalakshmi Prof. C. ,   Professor, Department of Statistics, OSMANIA University, Hyderabad, India
Published: October 2019

In recent days, road traffic management and congestion control has become major problems in any busy junction in Hyderabad city. Hence short term traffic flow forecasting has gained greater importance in Intelligent Transport System(ITS). Artificial Neural Network(ANN) models have been fruitfully applied for classification and prediction of time series. In this paper, an attempt has been made to model and forecast short-term traffic flow at 6.no. junction in Amberpet, Hyderabad, Telangana state, India applying Neural Network models. The traffic data has been considered for peak hours in the morning for 8A.M to 12 Noon, for 5 days. Multilayer Perceptron (MLP) network model is used in this study. These results can be considered to monitor traffic signals and explore methods to avoid congestion at that junction.
Rules Assurance: Preventing Unauthorized Access through Building Right Firewall Configuration
Authors:   Associate Professor Department of Computer Science , Dr. Ambedkar Government Arts College, Chennai, India., Shyamala* Dr.K. , Priyadharshini G. ,   Research Scholar Department Of Computer Science , Dr. Ambedkar Government Arts College, Chennai, India.
Published: October 2019

Any business organization’s backbone is their infrastructure which establishes the connection between their own intranet, vendor/customer network and external world. Network is linked between these network are through dedicated connection or public connection via internet. To build any network, it requires servers, firewalls, routers, core and access switches with communication link. The topology of network, link type, usage of network devices are chosen based on organization need and type of data transaction flows between these networks. Considering volume of data growth because of digital revolution, sensitiveness of data like Personally Identifiable Information (PII) or Protected Health information (PHI), it is necessary to protect data from hackers and save network from phishing, malware or ransomeware. Firewall will control the access and decides what to allow or deny between networks. These rules are defined in firewall Access Control List (ACL). A strong, well matured access control policy plays a key role to ensure network security and data protection. A firewall rule defines inbound and outbound data traffic between source and destination. These sources and destinations are identified by IP addresses, subnet ranges, protocols, applications, and port numbers. ACL defines what can be accessed / denied from internal (OUT BOUND) or from external (IN BOUND). In general a firewall has hundreds of ACLs and at times in thousands as well. Since frequent changes are inevitable, managing firewall rules becomes a complex task. There is no relationship between these rules and need not be in an order. Firewall will not validate duplicate or overlapping of rules. Every rule in ACL is independent and there are more possibilities of having obsolete and invalid rules. To overcome all these complexities, this wok presents rules mining, which helps to analyze firewall rules, identify security flaws, vulnerabilities from existing rules and eliminate redundant or unused rules from network. This paper proposes a new guidelines that can be used on existing firewall ACL or while building new firewall ACL to protect network from external sources. These guidelines will help network administrators to fix configuration errors.
Effects of Integrating Augmented Reality in Early Childhood Special Education
Authors:   Division of IT,School of Engineering,Cochin University of Science and Technology,India., K.K* Savitha , V.G Renumol ,   Division of IT, School of Engineering,Cochin University of Science and Technology, India.
Published: October 2019

Various research studies showed the praiseful impact of technology tools in the education process of the special kids. The intention of this comparative study was to explore how Augmented Reality (AR) based educational application would support mild and moderate Intellectually Disabled (ID) children of age 5-10. Eight ID students from a Block Resource Center in Kerala, India were participated in this study. They were divided into two groups. Children with hyperactivity were selected as experimental group, and they had extra support from AR-based tool via smartphone. The control group students were trained by using conventional method. After measuring the parameters such as learning outcome, response to the learning material, learning time and memory capacity, the data has been analyzed. From the analysis results, it noticed that the participants from the experimental group exhibited improvements in all the parame-ters than those in the control group. In addition to the experi-ment, a survey was conducted among their parents and the re-source teachers to know their feedback about the effectiveness of the application. The observed parameters and the survey results indicate that the implementation of AR-based educational ap-plications in early childhood special education system is worth to explore further.
Enriched Particle Swarm Optimization Created By Varying Parameters for Optimization
Authors:   Department of Mathematics, Indira Gandhi National Tribal University, Amarkantak Madhya Pradesh – 484887, India, Verma* Pooja , Parouha Raghav Pasad ,   Department of Mathematics, Indira Gandhi National Tribal University, Amarkantak Madhya Pradesh – 484887, India.
Published: October 2019

Particle swarm optimization (PSO) is one of the most capable algorithms that reside to the swarm intelligence (SI) systems. Recently, it becomes very popular and renowned because of the easy implementation in complex/real life optimization problems. However, PSO has some observable drawbacks such as diversity maintenance, pre convergence and/or slow convergence speed. The ultimate success of PSO depends on the velocity update of the particles. Velocity has a significant dependence on its multiplied coefficient like inertia weight and acceleration factors. To increase the ability of PSO, this paper introduced an enriched PSO (namely ePSO), to solve hard optimization problems more precisely, efficiently and reliably. In ePSO novel gradually decreased inertia weight (as an alternative of a fixed constant value) and new gradually decreased and/or increased acceleration factors (meant for cognitive and social modules) is introduced. Proposed ePSO is used to solve four well known typical unconstrained benchmark functions and four complex unconstrained real life problems. The overall observation shows that proposed new algorithm ePSO is fitter than the compared algorithms significantly and statistically. Moreover, the convergence accuracy and speed of ePSO are also improved effectively.
Recommendation Based on Prediction of Commuter Flow and Occupancy in Bus Transport
Authors:   Department of Computer Science and Engineering, Rajalakshmi Engineering College, Chennai, India,, Sreekrishna* M. , Sankarram N. ,   Department of Computer Science and Engineering, Rajalakshmi Engineering College, Chennai,, Sha Dinesh ,   UG Scholar, Department of Computer Science and Engineering, Rajalakshmi Engineering College, Chennai., Dakshin  ,   UG Scholar, Department of Computer Science and Engineering, Rajalakshmi Engineering College, Chennai., Ashwini  ,   UG Scholar, Department of Computer Science and Engineering, Rajalakshmi Engineering College, Chennai.
Published: October 2019

The current public transportation in India is found to have higher traffic congestion levels within the bus and is an inefficient transport system for the public. The traffic and the over congested public transports we see on the roads is an effect of this problem. Increasing the public transportation is not the only solution, to make it better we also need to make it smarter. Though there are many other proposals for smart transportation we have come up with a unique way of approaching it. The aim is to provide smartness to the existing transportation system so that it becomes efficient and user-friendly for the public. The public need not depend on the paper tickets anymore and instead can have an smart RF ID with themselves which is not a big issue since its just credit card sized. One big advantage with this system is that public who are waiting to board can know the number of passengers in the vehicle and can decide whether to board or not beforehand. By this way the higher authorities can also see if there is a scarcity in any particular route and can immediately send more vehicles in the particular route. Using this technique, the congestion of the vehicles can be reduced and it will be easier for the public to make use of the public transportation system.
Revolution of E-Wallets Usage among Indian Millennial
Authors:   Ms. Mridula M Menon, Menon Mridula M ,   Research Scholar- Dept. of Management Studies,   Hindustan Institute of Technology and Science,   Chennai,, Ramakrishnan Dr. Harihara Sudhan ,   Assistant Professor-Dept. of Management Studies; Hindustan Institute of Technology and Science; Chennai, Tamil Nadu
Published: October 2019

India is already pacing ahead on the trajectory of a major digital revolution. Digitalization in the mechanism of sending and receiving payments is definitely considered as the milestone in the age of cashless economy. While the usage of smartphones along with the easily and readily available Internet access is already at its peak and continuing to increase among the Indian population, both urban and rural, the acceptance of the electronic payment method or E Wallets is the focus of this paper. This paper intends to empirically examine the adoption patterns of e wallets by the respondents. A survey of customer perception Vis a Vis usage pattern levels regarding e wallets will be made based on a study on the Indian millennial population. It also helps identify the hurdles and challenges to the adoption of e wallets. Therefore, the purpose of this study is to explore the adoption of the e wallet among Indian millennial with focus on (1) the adoption levels of e-wallets, (2) the usage patterns of e wallets, (3) the preference for e-wallets, and (4) the challenges in using e-wallets. In order to accomplish the aforesaid purpose a well-structured questionnaire will be circulated to the millennial population based out of the Chennai City, wherein they were asked questions with regards to adoption of e wallets. The study would be a valuable input to the research areas of finance, by divulging into E wallet payment systems in India, an emerging concept.
Online Education in Russia as a Form of On-The-Spot Learning
Authors:   Dr. phil., associate professor Federal State Budgetary Educational Institution of Higher Education Novosibirsk State Agricultural University, Chernykh* S.I. , Parshykov V.I. ,   Dr. phil., professor, Federal State Budgetary Educational Institution of Higher Education Novosibirsk State Agricultural University
Published: October 2019

A new organizational form of educational practices - online learning has been examined in the article. The positive and negative aspects of this educational practice have been determined. It has been stated that in the context of further technologicalization and digitalization, online learning can become the main form of organizing educational practices.
Evaluating the Best-Practice Criteria of Higher-Order Thinking Skills for Design and Technology Courses
Authors:   Faculty of Education, Universiti Teknologi Malaysia, 81310, Johor, Malaysia., Hashim* Nurzalina , Saud Muhammad Sukri ,   Faculty of Education, Universiti Teknologi Malaysia, 81310, Johor, Malaysia., Rahman Mohammad Ashraf Abdul ,   Faculty of Engineering Technology, Universiti Tun Hussein Onn Malaysia, 84600, Muar, Johor, Malaysia
Published: October 2019

A more systematic and better Higher-Order Thinking Skills (HOTS) approach would allow teachers to offer their best effort in order to produce students with higher-order thinking skills. Successful nurturing of HOTS requires the student’s initiative to change from normal thinking to a critical way of thinking. Educational transformation aimed at cultivating HOTS is in line with contemporary situations because teachers also encounter students who are far different today compared to a decade or so before. The implementation of HOTS among teachers should be intensive and continuous via various methods to ensure the teacher’s capability to teach and learn is always improving. Failure to implement a good HOTS would weaken the objective of the Malaysia Education Development Plan 2013-2025 (PPPM 2013-2025) aimed at producing students who are highly productive and skilled in using information technology and communication. Hence, this paper intended to comprehensively identify the criteria for best-practice for HOTS in the Design and Technology course as well as evaluate the criteria by using the Delphi Method. This method comprised three interview sessions with a panel of 15 experts whose function was to determine the criteria obtained from literature sources. These criteria were then used as components to develop an instrument to measure teachers’ experience when carrying out HOTS during the teaching and learning sessions.
DRI-Based Implementation for Detecting and Eliminating Cooperative Black Hole Nodes in MANET
Authors:   Research scholar, MD University, Rohtak, India., Sharma* Deepak
Published: October 2019

Mobile Ad hoc Networks is configured by itself using the Mobile nodes in the Network, the maintenance also done by the wireless nodes itself. Dynamic topology, hop-to-hop communication and open-to-all are the features of MANETS, but these features made security of network highly challengeable. From security concern, routing protocols are highly vulnerable to many security threats like black hole attack. In black hole attack malicious node generates false routing information to the path requests about the route it asked for, which results all data packets forward toward it-self by the source and the black hole node manipulate its data. The cooperative black hole nodes in the other hand cooperate within the malicious nodes to fool the single black hole attack prevention algorithms. Here an approach is proposed to detecting the cooperative black holes nodes and eliminate them by broad casting there information into the network.
Decontamination of Nickel Toxicity of Soil by Chelate Assisted Remediation using Brachiaria Mutica (FORSSK.) STAPF
Authors:   Department of Environmental Science, School of Applied Sciences, Centurion University of Technology and Management, Odisha, Arzoo* Atia , Satpathy Kunja Bihari ,   Department of Botany, School of Applied Sciences, Centurion University of Technology and Management, Odisha
Published: October 2019

Phytoremediation is an environment friendly and cost effective method for remediation of heavy metals from contaminated soils by using plants. Chelate assisted metal uptake by plant has only been discovered in the sector of phytoremediation. It is a potential technology for accumulation of heavy metal by plants after application of chelating agents to soil which enhances the level of metal uptake in phytoremediation processes. Chelating agents are commonly used to form complexes with different metal contaminants within the natural environment. The novelty of this work is to reduce the pollution load by ecofriendly method. The research gap adresses in this study is the reduction of nickel pollution by using chelating agent. In this study two chelating agents namely EDTA (Ethylene diamine tetra acetic acid) and DTPA (Diethylene triamine penta acetic acid) were used along with the nickel treated soil and also with soil without containing nickel to determine the efficiency of decontamination by a wild plant "Para grass" [Brachiaria mutica (Forssk.) Stapf] towards phytoremediation of nickel. In this experiment it was observed that the plant which were subjected to grow in EDTA with nickel treated soil accumulated more nickel than the other two sets which were subjected to grow in nickel treated soil with DTPA and also without chelating agent.
Dividend Yields, Stock Returns and Reputation
Authors: Kang Eun , Kim Ryumi , Oh Sekyung
Published: October 2019

Problem/Relevance - The relationship between dividend yields and stock returns is an unresolved issue in finance. Previous papers show mixed results on the relationship. To clarify the relationship,we consider dividend reputation. We investigate whether dividend reputation plays a role in explaining the relationship between dividend yields and stockreturns.Research
Objective/ Questions –We hypothesize that firms with dividend reputation tend to have less risk compared to firms without dividend reputation, and the expected return of firms with dividend reputation will be lower given the dividend yield, whichis called the “reputation effect.” A mix of firms with and without dividend reputation in a sample could distort the relationship between stock returns and dividend yields. We group stocks according to reputation and analyze the relationship between dividend yields and stock returns.
Methodology - We construct our sample from all firms listed on the NYSE, AMEX, and NASDAQ stockexchanges. In our analysis, reputation effects are included to analyze the relationship between dividend yields and stockreturns. We divide our sample firms into three groups according to the track record of dividend payments to control for reputation effects: (1) reputation-established firms, (2) reputation-building initiation, and (3) no reputation firms. To test the hypotheses, we run the panel regression with reputation variables and the controlvariables.Major Findings –We find that the reputation effect is strongest for reputation-established firms and a weaker reputation effect for reputation-building younger firms.After controlling the reputation effect and other relevant variables, we find that there does exist a significantly positive relationship between dividend yields and stockreturns. Implications –The empirical results show that the reputation effect is higher for established firms with a good track record of dividend payments than for firms with a short history of dividend payments or for firms with an unreliable history of dividend payments. After controlling the reputation effect and other relevant variables, we find there exists a significantly positive relationship between dividend yields and stock returns. We also find that one year is not enough time for firms to build a dividend reputation.
ANALISIS SWOT DALAM IMPLENTASI PROMOTIONAL MIX DODOL PRODUKSI IBU MITA DI DESA KAPUH KANDANGAN
Authors: Jumiati Jumiati , Humaidi Muhammad
Published: October 2019

Abstract: This study aims to analyze SWOT in the implantation of Mita's promotional Mix Dodol Production in Kapuh Kandangan Village. The variables used in this study are promotion and SWOT strategies. The population and samples in this study were 9 leaders and employees of Dodol Production Mita Kandangan Production. The technique of collecting data uses the method of observation, interviews, documentation, and literature. Data analysis techniques in this study are SWOT analysis (S) Strengths, (W) Weakness, (O) Opportunities, and (T) Threats. EFAS (External Strategic Factor Analysis Summary) and IFAS (External Factor Analysis Summary). This result that the promotion strategy to increase sales in the Production of Mother Mita Dodol in the Kapuh Kandangan Village is based on the EFAS Matrix analysis with a value of 2,843 indicating that the Ibu Mita Production Dodol in Kapuh Kandangan Village is able to anticipate opportunities that arise from the external environment and based on IFAS Matrix analysis obtained a value of 2,765, this indicates that the Production Mole of Mrs. Mita in Kapuh Kandangan Village has developed and can overcome weaknesses. Although externally able to anticipate external opportunities and threats, Ibu Mita's Production Dodol in Kapuh Kandangan Village needs internal improvement, so as to be able to use the power to take advantage of the opportunities. Keywords: promotion strategy, SWOT, dodol, Kandangan Vilage Abstrak: Penelitian ini bertujuan untuk menganlisis SWOT dalam implentasi promotional Mix   Dodol Produksi Ibu Mita di Desa Kapuh Kandangan. Variabel yang digunakan dalam penelitian ini adalah strategi promosi dan SWOT. Populasi dan sampel dalam penelitian ini adalah pimpinan serta karyawan Dodol Produksi Ibu Mita Kandangan yang berjumlah 9 orang. Teknik pengumpulan data menggunakan metode observasi, wawancara, dokumentasi, dan studi pustaka. Teknik analisis data dalam penelitian ini adalah analisis SWOT (S) Strengths, (W) Weakness, (O) Opportunities, and (T) Threats. EFAS (Eksternal Strategic Factor Analysis Summary) dan IFAS (Eksternal Factor Analysis Summary). Hasil ini bahwa strategi promosi untuk meningkatkan penjualan pada Dodol Produksi Ibu Mita Di Desa Kapuh Kandangan adalah berdasarkan analisis Matriks EFAS diperoleh nilai sebesar 2,843 hal tersebut menunjukkan bahwa Dodol Produksi Ibu Mita di Desa Kapuh Kandangan  mampu mengantisipasi peluang yang muncul dari lingkungan eksternal dan mengantisipasi datangnya ancaman dan berdasarkan analisis Matriks IFAS diperoleh nilai sebesar 2,765 hal tersebut menunjukkan bahwa Dodol Produksi Ibu Mita di Desa Kapuh Kandangan  sudah berkembang dan dapat mengatasi kelemahan. Walaupun secara eksternal mampu mengantisipasi peluang dan ancaman eksternal, Dodol Produksi Ibu Mita di Desa Kapuh Kandangan perlu pembenahan secara internal, sehingga mampu menggunakan kekuatan yang dimiliki untuk memanfaatkan kesempatan yang ada. Kata kunci : Strategi promosi, SWOT, dodol, Desa Kandangan