• Journal of KIISE:Computer Systems and Theory
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• v.30 no.10
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• pp.523-532
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• 2003

Video on Demand(VOD) services cause high resource consumption in a video seuer, because multimedia are characterized by continuous playback, a high bandwidth requirement, and long playback duration. Patching has been proposed to save the network I/O bandwidth of a video server. To achieve true VOD, patching uses multicasting to share video streams, thereby providing immediate VOD services to users without any service latency. A communication channel is used to either multicast the entire video as a regular channel or multicast only the leading portion of a video as a Patching channel. This paper Proposes a buffering patching technique that divides regular channels, as used in patching, into sub-regular channels and regular channels to shorten the holding time of the channels. In the proposed technique, the last portion of video data, corresponding to the size of the buffering window, is not transferred by sub-regular channels, but rather downloaded and buffered in the user buffer from the latest regular channel. When simulations were performed to compare the performance of the proposed technique with that of conventional patching, the results indicated that the proposed technique was superior in terms of the defection rate, average service latency, and fairness, although the amount of video data buffered at each user station was higher than that with patching.

• Review of Culture and Economy
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• v.21 no.3
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• pp.59-88
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• 2018

This study examines demand of the Korean TV VOD using monthly aggregate data and time series analysis models. In particular, the impact of box office attendance, number of IPTV subscribers, income and price of substitutes on TV VOD market is analyzed. Data on TV VOD download during the period 2013 January to 2018 June are used for the empirical analysis. TV VOD demand shows lower level of seasonality than box office attendance and the share of monthly top1 movie in TV VOD platform is also lower than that of box office attendance. The relationship between a movie's holdback and box office performance does not seem consistent. The empirical result of ARDL model reveals that in the short-run box office attendance, number of IPTV subscribers and price of substitutes have significant impact on TV VOD demand. The result on the long-term relation shows that income is the only determinant of TV VOD demand. The impact of box office attendance on TV VOD is not shown to be robust both for the short-term and long-term.

• Review of Culture and Economy
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• v.17 no.2
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• pp.185-216
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• 2014

It has been two years since the national certificate of Arts & Culture Education Instructor(ACEI) was implemented the 2012 amendment to the Arts & Culture Education Act. Separate from the initial policy goals, students who attend the program to achieve ACEI certificate share various expectations, motivations and intents. The purpose of the research is to understand the collective identity of future ACEIs to evaluate the initial policy implementation during the period when the collective professional identity has not been fully formed yet. This research studies the data that were collected from 172 students who were attending one of the official ACEI institutes in Seoul area. As one of qualitative research methods, Questionnaire Method was employed to conduct this phenomenological study. James E Marcia's theory provides the theoretical framework for the data analysis of this study. The research results indicate that many students'identity status are between Identity Diffusion and Moratorium, which raises concerns for both arts and cultural fields as well as the policy success. Therefore, this research will relate these findings to the larger arts and culture infrastructure in order to better prepare them as arts and cultural professionals and also to stress the importance of the job market development and social environment that can accept them.

• Journal of Cadastre & Land InformatiX
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• v.48 no.2
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• pp.153-170
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• 2018

The purpose of this study is to diagnose problems by analyzing the status of system and user in order to activate the Urban Planning Information System(UPIS). The UPIS has been distributed to all local governments through pilot and expansion projects since 2003 to utilize spatial information in urban planning and administration. The original purpose was to use GIS to support planning and to support scientific decision making, but now the main task is to designate and manage zoning districts related to land use. Therefore, the UPIS is responsible for the production (preparation procedure) and management of the local district information for use in the Korea land use information system, which is an upper concept defined by the law, but it is evaluated that its identity is ambiguous and utilization rate is low. This study is conducted to investigate the four aspects (business process, database, system, citizen service) of UPIS, and suggest concrete improvement measures. To summarize, each individual system exists in the Korea land use information system, but they all share similar data and have a linked work flow. Therefore, we suggested that the DB current plan should be established to improve the reliability of data and to redefine the business process around the UPIS.

• Proceedings of the Plant Resources Society of Korea Conference
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• 2019.04a
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• pp.42-42
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• 2019

This study was carried out to build a database system for amylose and protein contents of rice germplasm based on NIRS (Near-Infrared Reflectance Spectroscopy) analysis data. The average waxy type amylose contents was 8.7% in landrace, variety and weed type, whereas 10.3% in breeding line. In common rice, the average amylose contents was 22.3% for landrace, 22.7% for variety, 23.6% for weed type and 24.2% for breeding line. Waxy type resources comprised of 5% of the total germplasm collections, whereas low, intermediate and high amylose content resources share 5.5%, 20.5% and 69.0% of total germplasm collections, respectively. The average percent of protein contents was 8.2 for landrace, 8.0 for variety, and 7.9 for weed type and breeding line. The average Variability Index Value was 0.62 in waxy rice, 0.80 in common rice, and 0.51 in protein contents. The accession ratio in arbitrary ranges of landrace was 0.45 in amylose contents ranging from 6.4 to 8.7%, and 0.26 in protein ranging from 7.3 to 8.2%. In the variety, it was 0.32 in amylose ranging from 20.1 to 22.7%, and 0.51 in protein ranging from 6.1 to 8.3%. And also, weed type was 0.67 in amylose ranging from 6.6 to 9.7%, and 0.33 in protein ranging from 7.0 to 7.9%, whereas, in breeding line it was 0.47 in amylose ranging from 10.0 to 12.0%, and 0.26 in protein ranging from 7.0 to 7.9%. These results could be helpful to build database programming system for germplasm management.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.14 no.4
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• pp.1-18
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• 2019

Venture capitalists (VCs) play an important role in finding and growing innovative venture companies with high growth potential but high risk. Venture capital investment does not depend on the system, unlike the investment for listed companies. Korea's venture capital industry has entered a period of growth, but lack of data has led to a lack of research on venture capital. Based on this background, this study attempts to analyze various factors affecting investment decision criteria of Korea VCs. In this study, I examined the major factors that VCs consider in decision making of investment through literature review, and I have drawn the research question accordingly. I will focus on the characteristics of founders, products / services, markets, financials, and networks that scholars share common investment decision criteria in Korean VCs. For the purpose of this study, the data were collected through the questionnaire surveyed by investment vetters working in current venture capital and analyzed using AHP analysis. Through this study, I tried to understand the Korean venture capital which has been poorly studied and what criteria and priorities Korean VCs make investment decisions in the Korean venture investment environment. The results of this research will contribute to the vitalization of venture investment, which is important for the upbringing of companies, by providing guidelines for establishing investment attraction strategies of venture companies.

• The Journal of the Korea Contents Association
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• v.18 no.12
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• pp.468-488
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• 2018

The maker movement is a phenomenon of society and culture where people who make necessary things come together and share knowledge and experience through creativity. However, as the maker movement has grown rapidly over the past decade, there is still a lack of consensus for how far they will be viewed as a maker movement. We need to look at how the maker movement has changed so far in order to find the direction of development of the maker movement. This study analyzes the media articles using text-based big data analysis methodology to understand how the issue of the maker movement has changed in general media. In particular, we apply Keyword Network Analysis and DTM(Dynamic Topic Model) to analyze changes of interest according to time. The Keyword Network Analysis derives major keywords at the word level in order to analyze the evolution of the maker movement, and DTM helps to identify changes in interest in different areas of the maker movement at three levels: word, topic, and document. As a result, we identified major topics such as start-ups, makerspaces, and maker education, and the major keywords have changed from 3D printer and enterprise to education.

• Korean Journal of Construction Engineering and Management
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• v.20 no.1
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• pp.124-132
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• 2019

Notwithstanding the crucial contribution of international construction industry in the national economy, previous studies on international construction contracts had mainly focused either on trend investigation or market share analysis at a point of time. Fundamentally, the international construction industry is fragmented due to its project-based nature, is heterogeneous that has to involve different firms from diverse fields, and tends to be dynamic according to macroeconomic conditions. Therefore, the combination of static and dynamic analyses is necessary to understand its underlying structure. This study analyzes the market structure of international construction contracts using the data of 9,173 projects awarded by Korean construction firms from 2000 to 2017. Industry-level performance data is analyzed both in static (market concentration) and dynamic (market mobility and instability) methods, and detailed methodology is also provided. Consequently, the static analysis result shows that the competition among Korean construction firms has been more intensified, and the dynamic analysis result indicates that market positions of Korean construction firms are unstable and vulnerable in most of the regions and the sectors. The combination of static and dynamic indices is found to be helpful to understand the underlying aspects of market structure and can be utilized as an effective strategic reference in the highly competitive market.

• Journal of Society of Occupational Therapy for the Aged and Dementia
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• v.12 no.2
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• pp.67-74
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• 2018

Objective : The purpose of this study is to quantitatively analyze the role of occupational therapy in long - term care insurance for the elderly using text mining, one of the big data analysis techniques. Method : For the analysis of newspaper articles, "Long - Term Care Insurance for the Elderly + Occupational Therapy for the Elderly" was collected after the period from 2007 to 208. Naver, which has a high share of the domestic search engine, utilized the database of Naver News by utilizing Textom, a web crawling tool. After collecting the article title and original text of 510 news data from the collection of the elderly long term care insurance + occupational therapy search, we analyzed the article frequency and key words by year. Result : In terms of the frequency of articles published by year, the number of articles published in 2015 and 2017 was the highest with 70 articles (13.7%), and the top 10 terms of the key word analysis showed the highest frequency of 'dementia' (344) In terms of key words, dementia, treatment, hospital, health, service, rehabilitation, facilities, institution, grade, elderly, professional, salary, industrial complex and people are related. Conclusion : In this study, it is meaningful that the textual mining technique was used to more objectively confirm the social needs and the role of the occupational therapist for the dementia and rehabilitation in the related key keywords based on the media reporting trend of the elderly long - term care insurance for 11 years. Based on the results of this study, future research should expand research field and period and supplement the research methodology through various analysis methods according to the year.

• Journal of Service Research and Studies
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• v.8 no.3
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• pp.115-136
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• 2018

Recently R&D projects take a collaborative works which involve industries, research institutions, and academic fields together. Collaborative R&D enjoys the economy of scales and economic efficiencies in that costs and risks share each others and compensate their competences. But there are some problems. The imbalance of power, the asymmetry of information, loss of trust, and opportunism among the co-researchers make the collaborative R&D difficult to succeed and disappointed outcomes. There are many variables on explaining the interorganizational relationships. Among them, I choose some relevant variables, construct research model and some hypotheses. Independent variables are fairness and quality, and dependent variables is loyalty. And trust are treated as the intervening variable between the independent variables and dependent variable. To test the research model and some hypothesis empirically, I collected the data using the questionnaire, The questionnaire was distributed to the persons that do collaborative R&D in Daeduck Innopolis. Sample size was 448, it was enough to analyze statistically. Data were analysed using the SPSS and AMOS. Procedural fairness and distributive fairness affect the organizational trust positively, and procedural fairness and distributive fairness affect member trust positively. Procedural quality and outcome quality affect the organizational quality positively. Procedural quality affects the member trust positively, but outcome quality does not affect member trust. Procedural fairness and distributive fairness does not affect the loyalty positively. Procedural quality does not affects loyalty, but outcome quality affects the loyalty positively. The organizational trust affects loyalty positively, and member quality affect loyalty positively.