bluuebunny/crossref_metadata_2025 huggingface dataset:
CFD analysis of convergent-divergent nozzle flow and base pressure control using micro-JETS
Authors: Khan Ambareen , Aabid Abdul , A. Khan S
Published: April 2019

This paper presents numerical study was undertaken to identify the use of the micro-jets to regulate the pressure in the region from two-dimensional convergent-divergent (CD) Nozzle. At the exit of the divergent nozzle in the base region 1 mm of two micro-jets orifice diameter has been arranged at ninety degrees at pcd 13 mm to control base pressure. The inertia level at the inlet to suddenly expanded duct was 1.87. The micro-jets are suddenly expanded into a two-dimensional planar area ratio of 3.24. The L/D of the duct was 1, 2, 4, 5, 6, 8 and 10. The total wall pressure distribution from inlet to the outlet too was recorded. The results indicate that the micro-jets can oblige as the effective regulators of the pressure in the base area. The duct wall pressure field is not negatively affected by the dynamic control. Nozzles were operated with the NPR in the range from 3 to 11. The results show that we can fix the flow parameter which will result in the maximum gain in the base pressure, velocity and temperature. The convergent-divergent nozzle geometry has been modeled and simulated employing turbulence models: K-ε standard wall function turbulence model from the code was validated with the commercial computational fluid dynamics.
Investigations on grid connected PV system under variable irradiation conditions
Authors: Sreenivasa Reddy G , Bramhananda Reddy T , Vijaya Kumar M
Published: April 2019

A solar photovoltaic panel or a solar PV module is a device, which is to be considered universality the basic constituent of a solar photovoltaic system and is a combination of series and parallel assembly of solar cells. The electrical performance of this solar photovoltaic module be contingent on different environmental situations like PV cells/module solar spectral (air mass), ambient temperature, solar irradiance, angle-of-incidence.With these dependent conditions, there will be a petite chance to operate at its maximum power point (MPP) Hence, a Perturb and Observe (P&O) MPP algorithm is employed which draws considerable power with the desired time response. In present work, the interfacing of Solar PV system with the utility grid system which is having 15kW based on the Voltage Oriented Control (VOC). The temperature of the individual photovoltaic cell and solar irradiation are to be considered as inputs for the simulation process, whereas the duty cycle of the DC-DC boost converter is an output of the P&O controller. Performance of this grid-connected PV system with VOC method is analyzed with the simulation results and %THD values of the voltage and current at coupling point is verified. The results show the superiority of VOC method and its high dynamic behavior under variable irradiation conditions.
Analysis of time overruns in roads and highways sector in India using AHP ranking technique
Authors: K. Pai Siddesh , Kumar Singh Avinash , Mittal Ankur , Anand Neeraj
Published: April 2019

In today’s scenario there will be a competition exists among various construction firm, so the risk management come into picture to assess the various risk related to project. Assigning the right severity factor as per the possibility of occurrence will impart the success of organization as well as success will impart the growth of nation with increase in G.D.P. In construction of road the assessment of right severity factor, will be considered as strength to lower down the delay of time over run. Tremendous amount of effort are applied in quantitative and qualitative manner for assessment of risk severity factor. However, many criteria for risk severity factor enable the decision making methods will smoothen the process of arriving at a solution and enable decision makers to make the right decisions. Decision-making problems need systematic approach to appraise the various alternatives using quantitative and non quantitative factors. Standard methods for solving problems will lack considerations of non-quantitative factors, where numeric values are difficult to assign. Different techniques like, Analytic Hierarchy Process (AHP), Fuzzy set theory Making and Multi Criteria Decision are being used in risk severity factor. These techniques consider factors with concrete values or vague values. This research will provide solution to a risk severity factor for budget allocation problem, for allocating funds to competing and deserving organizations by using ranking analysis technique. Fuzzy set theory and AHP is used to calculate the Weights .Fuzzy set considers subjective values like preferred, strongly preferred etc. and Analytic Hierarchy Process (AHP) technique evaluates relative importance of factors by making pair wise comparison matrix. The evaluation technique will facilitate in ranking of various severity factors according to their possibility of occurrence after assigning weights to decision making factor.
Does Flow Experience Really Matter among Hotel Employees in Sarawak?
Authors: Kasa Mark , Hassan Zaiton , Yatim Azizan
Published: April 2019

Studies on flow in the Malaysian hotel context are still very limited even though it is an important psychological phenomenon toward developing human resources. This present study aims to investigate the role of flow experience as a mediator between the causes of burnout and its outcomes (turnover intention and work-family conflict) among the hotel employees in Sarawak, Malaysia. In the hotel industry, which has a highly demanding working environment, employee burnout would eventually lead to turnover intention and work-family conflict (WFC). To minimize these causes and outcomes, flow is hypothesized as a possible mediator in this study. The data were collected from 210 full time hotel employees, selected by random sampling method, and analyzed using SPSS version 20 and PROCESS version 2.11. The findings revealed that flow played a direct and indirect significant role between the causes of burnout and its outcomes. The findings suggest flow to be an important approach in alleviating the effects of burnout – turnover intention and work-family conflict.
A Qualitative Study Regarding the Leadership Traits and Styles of the Millennial Generation in the Manufacturing Industry
Authors: Thi Huynh Do Nga , Van Nguyen Phuong , Uyen Dinh Phuong
Published: April 2019

In human resource management, the motivations, expectations, strengths, and weaknesses of employees are important factors in an organization. For these factors, the Millennial is a generation that awaits higher expectations than previous generations. The current problems of leadership traits and styles are not well understood, especially businesses in Vietnam. This study deals with the behavior of the leaders in the place where they are working, Millennial take over the leadership role. The qualitative study aims to understand and explore the key characteristics and styles of Millennial leaders. Interest groups are affected by advanced technology, new perspectives on teamwork, professional requirements among peers, and their management. The topic is of particular interest to researchers as it transforms into a leadership role within the company. The data analysis showed good saturation and supported some key characteristics of Millennial when employees move in to reach out to their leaders. Companies can measure the success of a group through established accountability. For instance, a commitment to positive reinforcement as a primary motivation is the current widespread tendency.
Federalism Concepts and Issues in Managing the Malaysian Water Sector
Authors: Md Khalid Rasyikah , . .
Published: April 2019

Federalism refers to an agreement between several states which agree to be united as a nation state but with shared administrative responsibility. Under the dual federalism theory, the federal and the state governments are co-equals with specific powers granted by the constitution. In contrast, cooperative federalism denotes that although the federal government is supreme over the states, both acts cooperatively to solve common problem. Malaysia practices dual federalism as legislative powers of the federal and state governments are separated in the Federal Constitution. Rather than fostering cooperation, dual federalism in Malaysia has created tension between different levels of governments in the water sector as highlighted in the Selangor water woes. This paper evaluates issues arising in the Malaysian water sector from the federalism perspectives. Towards this end, doctrinal analysis on relevant laws and commentaries are made to appreciate the meaning of federalism and different approaches towards federalism. The paper concludes that different approaches towards federal-state relation can assist in improving the water sector and solve water conflict between different levels of governments in Malaysia.
Model Artificial Intelligent in E-Learning using Fuzzy Logic (Case Study Sasmoko.Com)
Authors: Harna Yossy Emny , . Sasmoko , Listriana Kusumastuti Dwi , Ghadati Rabiha Sucianna , Indrianti Yasinta
Published: April 2019

The advancement of information technology has been maximally utilized in the world of education, especially in the learning process. One form is e-learning. In its development, e-learning has several problems when faced with the background and needs of students who take part in learning. These differences affect the effectiveness of learning because not all students have the same learning style. To overcome these problems, researchers tried to use fuzzy logic methods. Fuzzy logic is chosen to answer the uncertainty that occurs in learning subjective student characters. Therefore, the study was conducted on one e-learning website called sasmoko.com. The e-learning website is a research method course where students from various backgrounds and needs are used. In this study a model was proposed in assessing student characters on the sasmoko.com website.
Usability Efficiency Analysis on E-Learning Websites
Authors: Listriana Kusumastuti Dwi , . Sasmoko , Harna Yossy Emny , Ghadati Rucia Sanna , Indrianti Yasinta
Published: April 2019

The challenge of website-based information technology is how to channel information globally quickly and precisely. The goal is that the website is not still visited by visitors, especially for e-learning website. But many challenges for e-learning service administrators. E-learning website should provide good usability, so that interaction with learners can be done quickly and precisely. The purpose of this study is to analyze the efficiency level of usability on e-learning website in case of sasmoko.com by using Nielsen model. Data analysis was carried out using the descriptive analysis technique and the next percentage was assessed for the efficiency criteria. The results of the analysis proved to improve usability on sasmoko.com site, so it can support lectures of Research Methods as blended learning.
Development of the Indonesian Teacher Engagement Index (ITEI) Apps Model without the Internet
Authors: . Sasmoko , Indrianti Yasinta , Ghadati Rabiha Sucianna , Anindyo Widhoyoko Samuel , Rosyidi Unifah
Published: April 2019

The internet network is a resource not always available in some remote areas. It makes them have difficulty in accessing information online. As a result, technological developments in the region are also obstructed. This study attempts to extend the technical approach to improve the utilization of ITEI as a self-diagnostic application that can be accessed offline through a web browser. So teachers who live in remote areas can still learn their profile engagement. With the help of the proposed platform, app developers can easily develop and publish offline Web applications with Web content and simplified external sync capabilities.
Virtual Science Laboratory (Vislab): The Effect of Visual Signalling Principles towards Students’ Perceived Motivation
Authors: Ai Chin Wong , Ahmad Jaafar Wan Yahaya Wan , Muniandy Balakrishnan
Published: April 2019

The purpose of this study is to investigate the effect of Virtual Science Laboratory (ViSLab) on visual signalling principles towards students’ perceived motivation. Motivation can be identified as a dimension that determines learning success and causes the high failure rate among online learners, especially in VR environments. Cognitive load researchers need to determine the motivational effects of instructional conditions, and identify strategies that maintain students’ awareness of the learning materials without their being distracted by the world outside, as well as help out instructional designers to distinguish the power of VR learning environments in enhancing the motivation of learners. The lesson of the science laboratory safety is developed in two different modes, Virtual Reality with Signalling (VRS) and Virtual Reality Non Signalling (VRNS). 2x2 quasi experimental factorial design is adopted in this research. The independent variables were the two modes of presentation. The moderator variable is the spatial ability. The dependant variable is the perceived motivation. The study sample consisted of 141 students. The Instructional Material Motivational Scale (IMMS) from Keller was used to determine students’ perceived motivation. ANOVA was carried out to determine if a significant difference occurred between the two groups in their motivation towards instructional materials. The findings of this study showed that the use of Virtual Reality with Signalling (VRS) treatment mode helped pupils perform significantly better than Virtual Reality Non Signalling (VRNS) in learning science laboratory safety. Overall, visual signalling principle needs to be considered in the design and development of Virtual Science Laboratory (ViSLab) to promote more effective learning.
The Improvement of Inter-Firm Linkages Within Dormant Mse Cluster: a Case of East Java
Authors: Hoetoro Arif , Aditya Susanto Deni , . .
Published: April 2019

The stagnant development of MSE clusters might be a priority concern of the government. It has been expected that such clusters need proper policies and regulations to well develop. In East Java, for instance, policies to improve inter-firm linkages within MSE cluster has been perceived as a vital effort to activate the dormant cluster. An effective inter-firm linkages will support the clustered MSEs to overcome their isolation problems so as to augment their productive capacity and enlarge output distribution. By taking the cluster of “Wisata Panci” in Pasuruan, East Java” as research object, this research revealed that inter-firm linkages are very beneficial for the advance development of the cluster. After suffering from financial crisis in 1998, the cluster succeeded to grow and develop to be active cluster.Methodologically, this research examined factors strengthening inter-firm linkages within the cluster by employing Analytical Hierarchy Process (AHP). In doing so, local government and cluster entrepreneurs were deeply interviewed to formulate policy choices related the strategies of inter-firm linkage improvement.The results of this research revealed that entrepreneurs within the cluster give more stressing on forward linkage improvement. Accordingly, horizontal linkage was ranked in second place. And finally, backward linkage was ranked in third place. This study concluded that both local government and entrepreneurs have same perception to more develop the cluster to be active MSEs cluster. It seems that forward linkage, especially consumptiom linkage, plays a vital role for this purpose as clustered MSEs commonly need an effective market channel to distribute their outputs widely. However, backward and horizontal linkages are also important as the linkages support further contribution to forward linkage and spur local business
Does Learning Culture Impact Directly or Indirectly on Work Engagement in the Indonesia Oil Palm Industry?
Authors: Saputra Nopriadi , . .
Published: April 2019

Indonesia oil palm industry (IOPI) has become rapid growth industry and plays strategic role in global and domestic socio-economy. IOPI is facing many social, environmental and managerial issues. The employees with high score on learning agility and work engagement become the requirement. And developing organizational culture that promotes and supports learning process is a must for palm oil company in Indonesia. This study aims to explore the impact of learning culture on learning agility and work engagement. Does learning culture impact directly or indirectly on work engagement? The study was conducted on 73 respondents who are senior staffs, supervisors and junior managers from 28 companies in IOPI.   Smart-PLS application was used for statistical data analysis in this study. The result explained that learning culture impacts indirectly (with path coefficient 0.142) and directly  (with path coefficient 0.248) on  work engagement. The development of organizational learning culture also impact directly on learning agility (with path coefficient 0.276). It is a strategic initiative for dealing with current and future business challenges.
The Academic Climate and Organizational Support Influence on Performance of Lecturers Scientific Publications (Study at the Private University Accredited in West Java)
Authors: Komala Putri Ratna , Tisnawati Sule Ernie , Effendi Nury , . Hilmiana
Published: April 2019

Objective - This article aims to produce a study of: Academic climate, organizational support and the performance of scientific publications of lecturers. Then examine the influence of academic climate and organizational support on the performance of lecturer scientific publications. Research on the performance of scientific publications is still very rare, let alone linking the issue to the academic climate and organizational support. So that research on this scientific publication should be done immediately so that scientific publications of lecturers in Indonesia can increase, especially the performance of scientific publications of lecturers at the private university in West Java.Method - The research design used in this research is mixed method Research (MMR). The analytical tool uses a Partial Lease Square.Findings - Scientific publications of lecturers will increase both in quantity and quality if conducive academic climate and organizational support activities. Academic climate and organizational support affect the performance of lecturer scientific publications, either partially or simultaneously. Simultaneously influence the academic climate and organizational support to Performance of Scientific Publication of Lecturers, amounted to 54,4%. While partially Academic climate and Organizational Support influential significantly to Performance of Scientific Publication of Lecturers, which is Academic climate has a greater influence (34,8%).
Profit Growth in Indonesian Sharia Bank: the Impact of RGEC
Authors: Akhyar Chairil , . Marzuki , . Azhar , Syamni Ghazali
Published: April 2019

The purpose of this study aims to examine the impact of RGEC implementation on the growth of Sharia Banking profit in Indonesia. This study uses data of financial statements of 11 Sharia banking Indonesia during the year 2012-2014. This research uses panel regression model in testing RGEC factor on profit growth. Based on the data indicates that Sharia banking is still at risk, but GCG, ROA and CAR are still in a maintained position. Statistically this study found that NPF, CAR, inflation and Sharia banking activities affect the profitability of these banks. This indicates that Sharia banking has experienced risk and profitability problems. Economic problems inevitably affect Indonesian banks as it is seen that the level of profitability and inflation are not much different from each other.
A Study on Big Data Hadoop Map Reduce Job Scheduling
Authors: Deshai N , Venkataramana S , Hemalatha I , P. S. Varma G
Published: April 2019

A latest tera to zeta era has been created during huge volume of data sets, which keep on collected from different social networks, machine to machine devices, google, yahoo, sensors etc. called as big data. Because day by day double the data storage size, data processing power, data availability and digital world data size in zeta bytes. Apache Hadoop is latest market weapon to handle huge volume of data sets by its most popular components like hdfs and mapreduce, to achieve an efficient storage ability and efficient processing on massive volume of data sets. To design an effective algorithm is a key factor for selecting nodes are important, to optimize and acquire high performance in Big data. An efficient and useful survey, overview, advantages and disadvantages of these scheduling algorithms provided also identified throughout this paper.
Geological and Geomorphological Evaluation of Kolleru-Upputeru catchment using Geospatial Technologies
Authors: Raghuram P , Rambabu T , A.R.K Raju P , Sankara Pitchaiah P
Published: April 2019

Kolleru Lake is a unique world famous wetland ecosystem. It is one of the prime coastal ecosystems in India and regarded as Ramsar site. It is located in the coastal tracts of Krishna and West Godavari districts of Andhra Pradesh. Overexploitation and mismanagement of land and water resources are exerting detrimental impact on the lake environment. The striking manifestation of this phenomenon is seen various kinds of problems such as shrinkage in Lake area, floods in foreshore area, pollution and siltation of lake, sea water intrusion, land degradation etc. The challenge therefore is, to arrest the degradational processes and restore the lake eco-system. The generation and evaluation spatial information on the terrain conditions that include Tectonic frame work, Lithology, Structure and Geomorphology of the area using geospatial technologies carried out in  the present study forms an important component to address various issues in respect of land and water  resources. Thus, the spatial database facilitates to formulate a scientific plan for the conservation, restoration and management of Kolleru lake ecosystem.
Analyzing Call Data Through Live Calls Using Sphinx Tool
Authors: V. Krishnam Raju K , N. S. Manaswini V
Published: April 2019

For Improving the Business growth, the Business people try to know the customer's intension about their products. One of the best methods of collecting customer's feedback is telephone or mobile survey where customer service representatives(CSR) can interact with customers through phone calls and also record to analyze the customer's call data. The main issue of call data analysis through recorded files is a large amount of storage is required to store the audio files. This results increased costs, maintaining the hardware and software systems and manage a database system. In this paper we can directly convert the live calls into text files using speech to text (STT) algorithm and analyze these text files using Hadoop and MapReduce Framework for improving their future purchasing behavior.
Some Coupled Fixed Point Theorems in Modular Metric Space Using Caristi Type Contraction
Authors: Adilakshmi G , N.V.Kishore G
Published: April 2019

In this paper, we obtained a unique common coupled fixed point theorem using Caristi type contraction in modular metric spaces. Also furnished an example to support our main results.
An Inventory Model with Embeeded Acceptance Sampling Plan
Authors: Konda Reddy N , Murali Krishna K , V.N. Murty A
Published: April 2019

The classical inventory model assumes that the quality of the items received matches with the quality required. In many cases the deviation in quality results in additional costs to the stockiest and sometimes lead to rejection of the received lot. The cost of inspection along with the other inventory costs can be unified into a single model by embedding an acceptance sampling plan into the inventory model. When the lot is accepted there is a possibility of unseen defectives, which may reach the customer leading to loss of goodwill. If the lot is rejected on inspection, the model suggests rectification and removal of non-confirming units. In this paper a model is developed to determine (i) the Economic Order Quantity and (ii) a single sample plan of the attribute type, which minimizes the Average Total Inspection. The model utilizes spreadsheet solutions to handle statistical functions.
Limited Failure Censored Life Test Sampling Plan: Pareto-Rayleigh Model
Authors: Prasad G , Subba Rao R , R.L. Kantam R
Published: April 2019

A combination of Pareto and Rayleigh distributions considered for a new T-X probability model named as Pareto-Rayleigh distribution (PR distribution). We have chosen a life time random variable X from PR distribution whose lots are to be decided for acceptance or otherwise based on sample lifetimes drawn from the lot.  A sampling scheme is developed in such way that the sample is divided into different groups and experiment is terminated whenever the first failure noticed in each group.  The theory of ordered statistics is applied for the criterion of acceptance and is compared with the similar works proposed by other authors.
On Trio Ternary 𝚪-Semigroups
Authors: Vasantha M , Madhusudhana Rao D , Satish T
Published: April 2019

In this paper the terms trio L-trio TΓ-ideal, La-trio TΓ-ideal, R-trio TΓ- ideal and trio TΓ- ideal of a TΓ-semi group are introduced and some examples are given. It is proved that (1) a TΓ-semi group T is a trio TΓ-semi group if and only if xΓTΓT = TΓTΓx = TΓxΓT  for all x ∈ T, (2) Every trio TΓ-semi group is a duo TΓ-semi group, (3) Every commutative TΓ-semi group is a trio TΓ-semi group (4) Every quasi commutative TΓ-semi group is a trio TΓ-semi group.
Asymptotic Stability of Solution of Lyapunov Type Matrix Volterra Integro-Dynamic System on Time Scales
Authors: V. Ramana G , V. S. R. Deekshitulu G , . .
Published: April 2019

This article emphasizes the characteristics and nature of  asymptotic stability of solution of Lyapunov type matrix Volterra integro-dynamic system on time scales.
Effect of the Nematode-Trapping Fungus Dactylaria Brochopaga and the Nematode Egg Parasitic Fungus Verticilium Chlamydosporium in Controlling Citrus Nematode Infesting Mandarin, And Interrelationship with the Co Inhabitant Fungi
Authors: E.M.A NOWEER , . .
Published: April 2019

In a field experiment, the nematode-trapping fungus Dactylaria brochopaga and the nematode egg parasitic fungus Verticilium chlamydosporium , was evaluated against the citrus nematode, Tylenchulus semipenetrans infesting Mandarin, Citrus reticulata, , the mixed compound was applied in October 2016 at the rate ½ kg/tree, and root and soil samples were collected monthly until the next October, 2017. Successive treatment of the same mixed compound was added in the end of April 2017. For the comparison, Vydate 24% L. was applied as well as non treated check trees were left. Data revealed that the mixed compound treatment greatly affected the citrus nematode numbers both in soil and roots, in comparing with those of Vydate or induced by mixed compound was 97% and 70%; respectively in soil and roots. Rates of reproduction increase of the citrus nematode also reached 3% and 30% in both soil and roots; respectively. Vydate treatment resulted in a relatively lesser percentages. Growth of the concomitant fungus, Trichoderma sp. was increased specially in the last samples of October 2017, however those of fungi; Aspergillus flavus, Fusarium sp. And Rhizopus sp. was reduced, due to mixed compound treatment. Aspergillus niger and Penicillium sp. were not affected by the presence of the mixed compound. Vydate did not affect the co inhabitant fungi to a great extent.
The Role of Mass Eccentricity on the Earthquake Induced Torsion in Buildings
Authors: K. Georgoussis George , Mamou Anna
Published: April 2019

This paper investigates the effect of mass eccentricity on the earthquake induced torsion in buildings. An analytical solution is proposed, which identifies the location of a key structural element for which the torsional response of a structure is minimized for any height wise variation of the mass eccentricities. The accuracy of the analytical solution is then verified with parametric numerical modelling on 9-story buildings with height wise variations of the accidental eccentricities. The numerical modeling results show that the top rotations and base torques have an inverted peak, which indicates an optimum location of the key structural element, for which the torsional response of the structure is minimized. The location of the key element which minimizes the torsional response of the structure predicted by the analytical solution is verified with reasonable accuracy by the numerical modeling results.
Post Cambridge Analytica Fallout: Observing Facebook Users Awareness Regarding Data Security
Authors: Timanta Tarigan Jos , M. Zamza Elviawaty
Published: April 2019

In early 2018, Cambridge Analytica, a UK based political consulting group, was in the middle of the spotlight regarding its activity collecting Facebook users’ personal data. The data was harvested without users’ consent and was used to influence voter opinion to support a presidency campaign. This event triggered numerous movement aimed to inform and motivate the public to be concern of the use of their data in social media. However, whether these actions have raised the awareness of social media users is yet to be investigated. The objective of this paper is to harvest the awareness of social media users in Indonesia. We’ve performed a survey and collected answers from 312 responders who actively use social media in everyday life. The result shows that most of the responders have a low awareness regarding the event and its impact to social media industry. Over 24% of our responders have heard of the event and only 7% of the responders were able to describe the event correctly. Moreover, most of these users did not aware how their profile information in social media may be used to achieve commercial or political purpose by social media industry or collaborating third party without their consent.
The Effect of Media Sports Immersion on Smart Phone Users' Loyalty and Sports Activities
Authors: Ik Kim Nam , Mun Park Sun
Published: April 2019

Modern society is an information society through media, which has a great effect on human behavior, and this social flow also has a great influence on people's sports activities. In other words, people can acquire information about sports that they want anywhere and anytime, can express their opinions, and can form groups with people who have same interest due to the development of wireless internet and smart phones. In addition, the immersion in media sports is influential as a major factor of sports activities. The immersion on the internet is defined as an important criterion of consumers' spontaneous interest and as what includes individuals' pleasure, mental stimulation and awareness of interest. The immersion in media sports is connected to loyalty. The loyalty, which is a factor that affects the decision of human behaviors, means favorable attitudinal and mental attachment. It means the loyalty is preceded until sports activities are performed through media sports. Therefore, this study is intended to reveal the effects of media immersion by media sports involving experiences on sports participation. This study is intended to reveal the effects of media immersion by media sports involving experiences on sports participation. For this study, total 300 participants in their 20s ~ 30s including 150 males and 150 females who experienced media sports using smart phones were selected with the convenience sampling method. Prior to the survey, their media sports involving experiences using smart phones were confirmed. For the questionnaire completion method, self-administration method was used. For analysis of data, the data with answers of questionaries completed were collected, valid samples are coded according to the coding manual with double entry and no entry excluded, the coded data were entered into computer individually, and then frequency analysis, Exploratory Factor Analysis, Reliability Analysis and Multiple Regression Analysis were done with the use of SPSS Windows 18.0 Version statistical program. The results of the study are as follows. First, the immersion of media sports has a partial effect on sports loyalty. Second, the immersion of media sports has a partial effect on sports activities. Third, the high sports loyalty has a partial effect on sports activities.
Implementation of Online and Offline Building Information System based on Virtual Reality and Augmented Reality
Authors: Ganiev Asilbek , Sun Shin Ho , Hee Lee Kang
Published: April 2019

Modern people can use navigation on the outside to save time and get to the destination well. Likewise, in order to find out more information about a destination building, such a system is increasingly needed both in front of the computer (on-line) of the house and after reaching the destination in the building (off-line). Accordingly, we employ Building Information System (BIS) as a system that provide users with content related to a building like BIO and BIM. The Building Information Online system (BIO) is an interactive map application designed to assist customers in finding parcels and building on a map online. The Building Information Modeling (BIM) allows nD information to be visualized simultaneously by architects, engineers and constructors to gain a synchronized understanding viewing from different perspectives. Inspired by above researches, we implement a service that provides online and offline Virtual Reality (VR) and Augmented Reality (AR) content for a building. This system can provide users outside the building with information within the building via devices with VR and AR support regardless of space restrictions. The system is designed to operate across scenarios requiring offline, online, offline-online collaboration, etc., and the corresponding experiments are carried out.
The Reuse Process of OSS Components
Authors: Bae Kim Jong , Jin Bae Myung
Published: April 2019

In recent years, OSS has been expanding globally, with the advantage of being able to avoid adverse consequences of proprietary software monopolies, and to reduce the budget and procedures for maintenance and upgrades.  This can serve as a good opportunity to prevent the monopoly of large corporations and establish a balanced industrial structure through fair competition. despite the many advantages of OSS, we are having difficulties in using OSS due to several reasons. To meet the functionality of the required software, leveraging open source is seen as an effective way to reduce costs and ensure quality. However, in the actual development process, it is difficult to select open source with proper function and quality, to analyze it, to change it, and to integrate it into the target system. In order to solve these problems, this study proposed the procedures and methods for identifying and selecting open source, and the efficient improvement and integration method through minimal modification.
Location based FDS Framework
Authors: Bae Kim Jong , Jin Bae Myung
Published: April 2019

The FDS (Fraud Detection System) is a technological approach to prevent financial accidents by detecting abnormal behavior in financial transactions. In this paper, we present system components and considerations for efficient FDS construction and operation, and propose an optimized FDS operation framework based on IT governance. In addition, we propose a model that can improve the accuracy of abnormal transaction detection by using GPS information of user. This research is expected to be an operation model for Fintech based FDS that enables safe transactions without sacrificing the convenience of customers.
Design of Next-Generation 4D Mask Pack
Authors: Jin Kwon Hye , . .
Published: April 2019

This study identified the development status and material development technology of mask packs in the beauty industry, which is recently receiving a global attention and designed a 4D mask pack enriched with hydrogels to meet the demand of the new era. This study also presented a next-generation mask model that has superior adhesion capability to facial curves. It was developed by applying hydrogels, a soft material similar to the extracellular matrix, to control mechanical properties of the mask pack for appropriate stiffness and swelling ratio. This development technology is considered to be a great help in creating a new convergence field of future beauty industry.
Gait Imbalance Determination Using Foot Plantar Pressure Measurement
Authors: Jae Lim Myung , Jin-Nam Yun , Kun Chung Dong , Man Kwon Young
Published: April 2019

The ability to walking is a basic component of human mobility, and gait, which is the pattern of walking, may help or harm human health depending on posture. Therefore, it is a part of smart health care to measure gait quality in real time and inform the user of the posture. This paper determines whether body balance is maintained during gait by using foot plantar pressure measurement among methods to determine the gait balance. Thus, it aims to investigate changes in body balance according to the weight of bags and the plantar pressure measurement system, and to implement a system that give a notice when an unbalanced gait occurs in the future study.
A Comparative Study between of Fuzzy C-Means Algorithms and Density based Spatial Clustering of Applications with Noise
Authors: Kyu Lee Kwang , . .
Published: April 2019

Data mining technology has emerged as a means of identifying patterns and trends from large amounts of data and is a computing intelligence area that provides tools for data analysis, new knowledge discovery, and autonomous decision making. Data clustering is an important problem in many areas. Fuzzy C-Means(FCM)[11,12,13] is a very important clustering technique based on fuzzy logic. DBSCAN(Density Based Spatial Clustering of Applications with Noise)[8] is a density-based clustering algorithm that is suitable for dealing with spatial data including noise and is a collection of arbitrary shapes and sizes. In this paper, we compare and analyze the performance of Fuzzy C-Means and DBSCAN algorithms in different data sets.
Warning System Using Multicast Transmission for Pedestrian and Pedal-Cyclist Safety Against the Electric-Powered Driving Means in CVCN Network
Authors: Kim Bachyun , Woo Yoseop , Kim Iksoo
Published: April 2019

This paper deals with a warning system for the safety of pedestrians/pedal-cyclists against electric-powered driving means including hybrid/PHEV/EV/FCEV and electric wheel on minor roads. These roads are a subset of connected-vehicle communication network(CVCN). The fatalities of pedestrians/pedal-cyclists declined recently compared to the early 2000s, but fatality rate of vehicle accidents is increasing. Clearly, this phenomenon will continue because of the increasing number of virtually silent hybrid/PHEV/EV/FCEV and electric wheels on the road.The hybrid/PHEV/EV/FCEV such as green electric-powered ones that can reduce environmental pollution are much more dangerous than traditional vehicles to pedestrians/pedal-cyclists on minor roads. The main risk factor of the electric-powered vehicles is that they are very quiet on the road because of the use of electric motor instead of engine. Thus, the safety warning system that can notify pedestrians/pedal-cyclists the dangerous approaches of vehicles from their behind have to be provided on minor roads.The proposed framework for safety warning system using multicast informs pedestrians/pedal-cyclists through smartphone when electric powered driving means are closing from their behind on minor roads. This is a new technology that uses vibration or sound of smartphone instead of artificial noise generation which is equipped to the electric powered driving means recently.
Design of Prevention Method Against Infectious Diseases based on Mobile Big Data and Rule to Select Subjects Using Artificial Intelligence Concept
Authors: KIM Sunghyun , HWANG Hyunseok , LEE Jaeho , CHOI Joonki , KANG Jangmook , LEE Sangwon , . .
Published: April 2019

The rapid evolution of transportation has enabled us to travel to any part of the world. At the same time, infectious diseases are now able to reach anywhere in the world via this same ease of travel. In 2015, a MERS epidemic broke out in Korea. The MERS virus infected 186 people with 38 dead and caused economic damage worth 6 billion dollars. In this paper, we investigate a joint project of KT and KCDC (Korea Centers for Disease Control and Prevention) to prevent infectious diseases through the use of mobile roaming Big Data. KT developed a monitoring system that uses telephone roaming data to identify subscribers who traveled to a country affected with an infectious disease. Upon returning to Korea, a subscriber receives a notice that he/she is required to report for potential quarantine in accordance with the regulations and gets guided on the measures to take in case symptoms of the infectious disease occur. The travel information is also provided to healthcare facilities throughout the country for reference when symptomatic individuals visit them. Laws and regulations are enacted to allow personal information to be used to prevent and control infectious diseases. By providing a solution for monitoring individuals with potential risk of having been infected, loss of life and financial loss caused by the spread of panic of infectious disease have been minimized. This study is an example of the significant social contribution of Big Data. The global propagation of this system can reduce the threat of the spread of infection significantly.
A Study on Comparison of Network Location Efficiency of Web Application Firewall
Authors: Cho Sung-Ho , Choi Sung-Uk , . .
Published: April 2019

This paper proposes a method to optimize the performance of web application firewalls according to their positions in large scale networks. Since ports for web services are always open and vulnerable in security, the introduction of web application firewalls is essential. Methods to configure web application firewalls in existing networks are largely divided into two types. There is an in-line type where a web application firewall is located between the network and the web server to be protected. This is mostly used in small scale single networks and is vulnerable to the physical obstruction of web application firewalls. The port redirection type configured with the help of peripheral network equipment such as routers or L4 switches can maintain web services even when physical obstruction of the web application firewall occurs and is suitable for large scale networks where several web services are mixed. In this study, port redirection type web application firewalls were configured in large-scale networks and there was a problem in that the performance of routers was degraded due to the IP-based VLAN when a policy was set for the ports on the routers for web security. In order to solve this problem, only those agencies and enterprises that provide web services of networks were separated and in-line type web application firewalls were configured for them. Internet service providers (ISPs) or central line-concentration agencies can apply the foregoing to configure systems for web security for unit small enterprises or small scale agencies at low costs.
Raspbot
Authors: R Prashanth , Wajahath Syed , Sarma R Roshen , R Joshi Rajath , Chidaravalli Sharmila
Published: April 2019

Sign language is a language that uses manual communication to convey meaning. This includes simultaneously employing hand gestures, movement, orientation of the fingers, arms or body, and facial expressions. RASPBOT has been designed to understand not only human voice but hand signs language as well. It has been designed in such a way that it can be used by a wide variety of individuals. RASPBOT allows the users to: Ask a question normally or ask a question using sign language. RASPBOT recognizes the Hand Signs and produces the recognized Alphanumeric Character as output. It forms meaningful sentences and give responses to the queries by recognizing the characters thus breaking down the barriers between normal people and specially disabled people. These features have been represented by functions in the program. RASPBOT then understands the question and then replies appropriately.
Design and Production of Portable Bar Bender
Authors: K Mariyappan , N Karthick , Ahamed.N Aasik , S Gopinath , S Pradeep. , Kumar.S Suresh
Published: April 2019

During this generation many projects and inventions are invented to reduce the man power, time, and difficulties of the work. But still some small types of works are only based on the man power because of the cost price of invention and difficult of handling of inventions. This designed and fabricated hydraulic bar bending equipment is used for bending rods, strips, angles, and bars. During some period a type of hydraulic rod bending machines only used on large scale and industrial works. In our type we simplified the design suitably for small scale construction based rod bending works.
Design and Simulation of Automated Swaging Machine
Authors: Anbazhagan R , Rekka G , Rajamanickam S , Dinesh C , Ilayaraja M , Srirangaramanujaa V
Published: April 2019

One of the major time consuming factor on calculating the machine time for the job is loading and unloading. By decreasing the time taken during the loading and unloading of the job, play a significant role in increasing the production of the company. In the proposed study, the swaging machine is automated by means of simple but effective mechanism. The mechanism involves from lifting of the job from its initial position to the top of the slope with the help of slider operated by the pneumatic piston .Then, it is carried to the designated position in the work holding device with the help of controlled gravitational force by belt operated profile. The feeder attached to the swaging machine feed the job and bring back the job, back to the work holding device form there, it is carried to the unloading area by hooks attached belt conveyor. Position sensor is used to sense the position of the job and feed it as an input to operate the other Mechanisms. This work is a cyclic process which converts the swaging machine automated and work continuously. By this proposed work, the production increase, dependency on the reduction of man power, working hours of the swaging machine is increased.
Real-Time Shading Image Implementation Technology for Physical Viod Display
Authors: Seo Song Eun , Tae Kim Gi , Dae Hong Sung
Published: April 2019

Background/Objectives: The purpose of this study is control technology to reflect user's appearance and movement in the void display in real time.Methods/Statistical analysis: In this paper, we have developed real-time shading image data acquisition based on RGB-D sensor and real-time interaction image control structure for realizing 0-255 Depth image of physical void display. We also study integrated interlocking control solution for integrated interlocking of hardware and software.Findings: Conventional flip displays show data in 0,1 image representation. On the other hand, the void display we are studying acquires real-time data based on RGB-D and shows the data in depth 0-255 image representation.Improvements/Applications: In the void display, the image representation of 0.1 was extended to the depth 0-255 representation.