• Journal of Digital Convergence
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• v.11 no.11
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• pp.621-631
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• 2013

This study aimed to investigate that what factors affect the volunteer activities of dental hygiene students and present a plan and problems with devising a program for activating their volunteer activities. A self-administered questionnaire survey was conducted in 265 dental hygiene students in Gwangju from November to December 2012, obtaining the following results: 51.3% of the respondents were freshmen; 74.3% had experience of volunteer activities; and 31.7% had the activities in the field of disabilities. 56.2% were motivated to participate in the activities by 'credit-earning and volunteer activity achievements'. Most of students participated in volunteer activities through clubs. Satisfaction with major-related volunteer activities was associated with higher support by others, higher job perception, higher job adequacy, and higher support by family. To increase satisfaction with major-related volunteer activities of students research is needed to develop systematic education for volunteers, subjects suitable for colleges, and an effective program in order to alter students' perception.

• Journal of Digital Convergence
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• v.9 no.3
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• pp.31-46
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• 2011

This research suggests for efficient operation of the e-commerce guarantee financing system in domestic industries by reviewing the definition, current situation and problems of the e-commerce guarantee financing system in operation since 2001. Throughout the 10 years of the e-commerce guarantee financing system's implementation, technological development has solved many previously concerning factors. The goal of the study is to resolve the current issues of the e-commerce guarantee financing system and offer means by which to expand the accessibility of the system to domestic industries and further assistance to firms already using the system. One of the primary policies supported by the research is the reallocation of funds from archaic means of exchanging finances to the modem e-commerce guaranteed financing methods because of the increased transparency of the trading. Specifically, the funding operated by government guarantee agencies requires systematic promotion, justifying subsidies and tax breaks to companies that are using e-commerce guarantee financing because of the increased overall transparency. In addition, the benefits of e-commerce guarantee financing as a means of funding are numerous: the promotion of good business, relaxation of credit ratings for company loans, construction of the mobile operating system for small businesses, and creation of policy flexibility in operating fund agencies run by government. Future research areas include continued collection and analysis of the above data provided and new market feedback such as direct poll surveys of the operating staff in companies using e-commerce guarantee financing agencies.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.9
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• pp.112-119
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• 2016

This study aims to examine propping by the controlling shareholders and the corporate value of Korean firms with agency problems and propping perspectives. Propping refers to a transfer of resources from a higher ownership firm to a lower ownership firm, in order to prevent the latter from going bankrupt. This study used a sample of 4,077 companies listed on the KRX data exchange from 2004 to 2014. We used proxy variables such as long-term supply contracts, asset and business sales, credit facilities, loans, and equity investments to affiliates as wealth transfer instruments of the controlling shareholders. We found that propping occurred by the equity investment of affiliates in Korean firms. Also, we found that the Korean firm's value was decreased by the affiliate equity investment.

• Journal of KIISE:Databases
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• v.37 no.4
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• pp.177-184
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• 2010

In these day, many data including sensor, delivery, credit and stock data are generated continuously in massive quantity. It is difficult to learn from these data because they are large in volume and changing fast in their concepts. To handle these problems, learning methods based in sliding window methods over time have been used. But these approaches have a problem of rebuilding models every time new data arrive, which requires a lot of time and cost. Therefore we need very simple incremental learning methods. Bayesian method is an example of these methods but it has a disadvantage which it requries the prior knowledge(probabiltiy) of data. In this study, we propose a learning method based on attribute values. In the proposed method, even though we don't know the prior knowledge(probability) of data, we can apply our new method to data. The main concept of this method is that each attribute value is regarded as an expert learner, summing up the expert learners lead to better results. Experimental results show our learning method learns from data very fast and performs well when compared to current learning methods(decision tree and bayesian).

• Journal of Digital Convergence
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• v.17 no.3
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• pp.1-11
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• 2019

This study is aimed to analyze university students' learning experiences in K-MOOC by conducting a survey of university students' perception of K-MOOC, who are the major users of K-MOOC. Also it intended to use them to develop a specific strategy for continued use of K-MOOC. The study was conducted on 155 university students who attending university course and experienced K-MOOC's course within a year. The survey was conducted on online and provided with multiple questions about sustainability and satisfaction. Also survey provided with a subjective items about reason of satisfaction and dissatisfaction with the K-MOOC, and expectation about the future K-MOOC. The analysis found that the main motivation for university students was the convenience of online learning, which was the highest in questions asking why they were satisfied. For reasons of dissatisfaction, the decrease in academic volition and lack of interaction, and the technical problems of K-MOOC system were pointed out. University students learners are expecting improvements in course content and K-MOOC system. Based on these results, this paper suggests instructional strategies to help K-MOOC university students for becoming lifelong learners of K-MOOC.

• Journal of Cadastre & Land InformatiX
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• v.48 no.2
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• pp.109-119
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• 2018

Point of interest (POI) of the city is a special place that has what importance to the user. For example, it is such landmark, restaurants, museums, hotels, and theaters. Because of its role in the social and economic life of us, these have attracted a lot of interest in location-based applications such as social networks and online map. However, while it can easily be obtained through the Web, the basic information of POI such as geographic location, another effort is required to obtain detailed information such as Wi-Fi, accepting credit cards, opening hours, romper room and the assessment and evaluation of other users. To solve these problems, a new method for correcting position error is required to link location-based social network service (LBSNS) data and POIs. This paper attempts to propose a position error correction method of POI and LBSNS data to enrich POI information from the vast information that is accumulated in LBSNS. Through this study, we can overcome the limitation of individual POI information via the information fusion method of LBSNS and POI, and we have discovered the possibility to be able to provide additional information which users need. As a result, we expect to be able to collect a variety of POI information quickly.

• The Korean Journal of Applied Statistics
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• v.32 no.4
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• pp.607-618
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• 2019

A new and interesting task in statistics is to effectively analyze functional data that frequently comes from advances in modern science and technology in areas such as meteorology and biomedical sciences. Functional linear regression with scalar response is a popular functional data analysis technique and it is often a common problem to determine a functional association if a functional predictor variable affects the scalar response in the models. Recently, Kong et al. (Journal of Nonparametric Statistics, 28, 813-838, 2016) established classical testing methods for this based on functional principal component analysis (of the functional predictor), that is, the resulting eigenfunctions (as a basis). However, the eigenbasis functions are not generally suitable for regression purpose because they are only concerned with the variability of the functional predictor, not the functional association of interest in testing problems. Additionally, eigenfunctions are to be estimated from data so that estimation errors might be involved in the performance of testing procedures. To circumvent these issues, we propose a testing method based on fixed basis such as B-splines and show that it works well via simulations. It is also illustrated via simulated and real data examples that the proposed testing method provides more effective and intuitive results due to the localization properties of B-splines.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.25 no.3
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• pp.346-354
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• 2021

Since 2015, Blockchain has experienced rapid development throughout the world, institutions including Central Banks, Government Departments, Commercial Banks, IT Giants are all accelerating their exploration on Blockchain, and investment on Blockchain related R&D departments and start-up companies also shows explosive growth. This paper studies the impact of blockchain technology on banks' conventional trade settlement methods and describes blockchain technology in term of its concepts, advantages, and disadvantages. It also studies the application processes of blockchain technology combined with conventional trade settlement methods (remittance, collection, and L/C), and analyzes the positive and negative impacts of blockchain technology on the conventional trade settlement methods. In addition, this paper lists the blockchain application cases, analyzes the technology development status and existing problems, and puts forward suggestions and measures for the development of blockchain finance in China based on the case analysis and impact research.

• International Journal of Computer Science & Network Security
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• v.22 no.11
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• pp.248-254
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• 2022

Educational innovations are first created, improved or applied educational, didactic, educative, and managerial systems and their components that significantly improve the results of educational activities. The development of pedagogical technology in the global educational space is conventionally divided into three stages. The role of innovative technologies in Higher School practice is substantiated. Factors of effectiveness of the educational process are highlighted. Technology is defined as a phenomenon and its importance is emphasized, it is indicated that it is a component of human history, a form of expression of intelligence focused on solving important problems of being, a synthesis of the mind and human abilities. The most frequently used technologies in practice are classified. Among the priority educational innovations in higher education institutions, the following are highlighted. Introduction of modular training and a rating system for knowledge control (credit-modular system) into the educational process; distance learning system; computerization of libraries using electronic catalog programs and the creation of a fund of electronic educational and methodological materials; electronic system for managing the activities of an educational institution and the educational process. In the educational process, various innovative pedagogical methods are successfully used, the basis of which is interactivity and maximum proximity to the real professional activity of the future specialist. There are simulation technologies (game and discussion forms of organization); technology "case method" (maximum proximity to reality); video training methodology (maximum proximity to reality); computer modeling; interactive technologies; technologies of collective and group training; situational modeling technologies; technologies for working out discussion issues; project technology; Information Technologies; technologies of differentiated training; text-centric training technology and others.

• 한국노년학
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• v.29 no.4
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• pp.1341-1359
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• 2009

In the wake of the radical structural change of the society, problems in family support for the old aged have arisen. Against this backdrop, the aim of this study was to examine aspects of the conflicts in family support focusing on novels by Park Wan-seo, and to analyze the expression of the family support awareness within the social consciousness. It selected the works that contain the contents of the elderly's support among 92 short stories, which were published from 1970s and 2006. The short novels that are contained the elderly's support are 9; , , , , ,