• Title/Summary/Keyword: Industrial policy

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A Study on the Development of Consortium Blockchain Governance Framework (컨소시엄 블록체인 거버넌스 프레임워크 개발에 관한 연구)

  • Park, Jin-Sang;Kim, Jung-Duk
    • Journal of Digital Convergence
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    • v.17 no.8
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    • pp.89-94
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    • 2019
  • Due to the limitations of public and private blockchain, several organizations are implementing consortium blockchain systems. In order for an organization to conduct business using blockchain, it must consider 'blockchain governance' factors, such as decision rights, accountability and incentives over on-chain and off-chain, depending on the organization's strategy and objectives. If an organization conducts business without blockchain governance, it cannot achieve its strategy and objectives systematically, effectively and efficiently, and cannot comply with internal external requirements such as the expectations of stakeholders and laws. However, as businesses using consortium blockchain expand, there is no research on consortium blockchain governance. Thus, in this study, the consortium blockchain governance framework, including functions, roles and responsibilities, was developed to help organizations effectively and efficiently conduct business using consortium blockchain. In addition, to review the feasibility of the developed consortium blockchain governance framework, the framework was reviewed through an advisory committee consisting of experts on blockchain and governance over two occasions. As a result of the review, components of the consortium blockchain governance framework, including functions, roles and responsibilities, were considered complete and relevant.

A Study and Analysis on Case Study of Security Evaluation Tool (보안성 평가 도구 사례 분석 연구)

  • Kim, Hyun-il;Park, Kyungyun;Seo, Changho;Moon, Daesung
    • Journal of Digital Convergence
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    • v.17 no.1
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    • pp.347-356
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    • 2019
  • Recently, the liberalization of industrial control systems has been accompanied by a major change in the structural paradigm of information systems in the public and public sectors, and potential cyber security problems in the future major infrastructure control systems that cannot respond to the level of security of existing information systems. To cope with this, a cyber security evaluation tool that can evaluate security vulnerability in three dimensions against various infrastructure control system environment is needed. However, a cyber security evaluation in the domestic environments does not have the concept of the current security status and satisfy settings of the infrastructure. Also, the most of items in that environments have had short-term inspection themselves which makes a limitation by a technical area. In order to overcome this problems, many researches are needed to apply CSET (Cyber Security Evaluation Tool) which is the US cyber security evaluation tool to the control environment of various domestic infrastructure. In this paper, first, we analyze methods to apply to the major domain through the analysis of various case studies on existing security assessement tools. Finally, we discuss future directions.

A study on the number of passengers using the subway stations in Seoul (데이터마이닝 기법을 이용한 서울시 지하철역 승차인원 예측)

  • Cho, Soojin;Kim, Bogyeong;Kim, Nahyun;Song, Jongwoo
    • The Korean Journal of Applied Statistics
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    • v.32 no.1
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    • pp.111-128
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    • 2019
  • Subways are eco-friendly public transportation that can transport large numbers of passengers safely and quickly. It is necessary to predict the accurate number of passengers in order to increase public interest in subway. This study groups stations on Lines 1 to 9 of the Seoul Metropolitan Subway using clustering analysis. We propose one final prediction model for all stations and three optimal prediction models for each cluster. We found three groups of stations out of 294 total subway stations. The Group 1 area is industrial and commercial, the Group 2 ares is residential and commercial, and the Group 3 area is residential districts. Various data mining techniques were conducted for each group, as well as driving some influential factors on demand prediction. We use our model to predict the number of passengers for 8 new stations which are part of the 3rd extension plan of Seoul metro line 9 opened in October 2018. The estimated average number of passengers per hour is from 241 to 452 and the estimated maximum number of passengers per hour is from 969 to 1515. We believe our analysis can help improve the efficiency of public transportation policy.

A Study on the Convergent Factors Related to Turnover Intention among Some Administrative Staff in Medical Institution (의료기관 일부 원무행정직의 이직의도와 관련된 융복합적 요인)

  • Kim, Seung-Hee;Bae, Sang-Yun
    • Journal of Digital Convergence
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    • v.17 no.4
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    • pp.159-166
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    • 2019
  • This paper investigated convergent factors to turnover intention among some Administrative Staff in Medical Institutions(ASMI). The survey used self-administered questionnaires for 320 administrative staffs of 27 medical institutions in the J region, selected arbitrarily from July 2, 2018 to July 27, 2018. The hierarchical multiple regression analysis shows the following results. The turnover intention of respondents turned out to be significantly higher in following groups: a group in which organizational commitment is lower, a group in which organizational loyalty is higher, a group in which exhaustion, cynicism, reduced professional efficacy, sub-areas of job burnout are higher. The results show explanatory power of 50.9%. The results of the study indicate that the efforts, to increase organizational commitment and organizational loyalty, and to decrease exhaustion, cynicism, reduced professional efficacy, sub-areas of job burnout, are required to improve the turnover intention among ASMI. These results could be used in hospital organization personnel management and industrial health education to lower the level of turnover intention in ASMI, vocational aptitude education of health care college students. In following studies, it is necessary to present and analyze the structural model affecting the turnover intention of ASMI.

Evaluation of Phytochemical econtents and antioxidant activity of Korean common bean (Phaseolus vulgaris L) landraces (한국 재래종 강낭콩 유전자원의 phytochemical 및 항산화 활성 평가)

  • Lee, Kyung Jun;Shin, Myoung-Jae;Cho, Gyu-Taek;Lee, Gi-An;Ma, Kyung-Ho;Chung, Jong-Wook;Lee, Jung-Ro
    • Journal of the Korean Society of International Agriculture
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    • v.30 no.4
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    • pp.357-369
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    • 2018
  • The Korean common bean (Phaseolus vulgaris L.) has been receiving increased attention as a functional food. The objective of this study was to reveal the phytochemicals genetic variation and antioxidant activity of 209 Korean common bean landraces. Antioxidant activity was evaluated with the DPPH (2,2-diphenyl-1-picryl-hydrazyl-hydrate), ABTS (2,2'-azino-bis(3-ethylbenzothiazoline-6-sulphonic acid), ferric reducing antioxidant power (FRAP), and superoxide dismutase (SOD) assay. Antioxidant activities among common bean accessions showed wide variation. Four flavonoids (kaempferol, myricetin, quercetin, and naringenin) of the 209 Korean common bean landraces were measured using HPLC. Among them, kaempferol had the highest phytochemicals compared to the other three flavonoids. Using the relative antioxidant capacity index (RACI), it was found out that the IT104587 had the highest antioxidant activity. Meanwhile, in clustering analysis, the Korean common bean landraces were classified into three clusters. Among them, cluster II contained 64 landraces with higher antioxidant activities and phytochemicals than the other clusters, except DPPH. The results could provide information on the valuable Korean common bean landraces for the development of new common bean varieties.

The Effects of Childcare Teachers Professionalism on Job Performance (보육교사의 전문성이 직무성과에 미치는 영향)

  • Jeong, Mun-Gyung;Yang, Kyung-Hee
    • Industry Promotion Research
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    • v.6 no.3
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    • pp.59-70
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    • 2021
  • The purpose of this study is to analyze the impact of childcare teachers' professionalism on job performance, enhance the effectiveness of childcare teachers, and provide basic data to help them satisfy their duties. Statistical processing of the collected data has been studied through the SSPPWIN 21.0 program, level of expertise, understanding, skills, and attitude recognized by child care teachers, the higher the level of professionalism, the higher the age, educational background, and experience, the higher the level of expertise. In addition, various policy and institutional support at the level of childcare-related administrative agencies or local governments is needed to develop operational measures suitable for each type of daycare center and improve the quality of childcare services. Programs for the promotion of professionalism and job performance of childcare teachers should be developed and regular education, training and workshops should be provided to support application to childcare sites. This study is meant to improve the level of professionalism of daycare centers to achieve desirable professionalism and efficient organizational goals of daycare centers, and to improve the job performance of daycare centers and provide basic data to help them satisfy their jobs.

Deep Learning-based Technology Valuation and Variables Estimation (딥러닝 기반의 기술가치평가와 평가변수 추정)

  • Sung, Tae-Eung;Kim, Min-Seung;Lee, Chan-Ho;Choi, Ji-Hye;Jang, Yong-Ju;Lee, Jeong-Hee
    • The Journal of the Korea Contents Association
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    • v.21 no.10
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    • pp.48-58
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    • 2021
  • For securing technology and business competences of companies that is the engine of domestic industrial growth, government-supported policy programs for the creation of commercialization results in various forms such as 『Technology Transaction Market Vitalization』 and 『Technology Finance-based R&D Commercialization Support』 have been carried out since 2014. So far, various studies on technology valuation theories and evaluation variables have been formalized by experts from various fields, and have been utilized in the field of technology commercialization. However, Their practicality has been questioned due to the existing constraint that valuation results are assessed lower than the expectation in the evaluation sector. Even considering that the evaluation results may differ depending on factors such as the corporate situation and investment environment, it is necessary to establish a reference infrastructure to secure the objectivity and reliability of the technology valuation results. In this study, we investigate the evaluation infrastructure built by each institution and examine whether the latest artificial neural networks and deep learning technologies are applicable for performing predictive simulation of technology values based on principal variables, and predicting sales estimates and qualitative evaluation scores in order to embed onto the technology valuation system.

A Study on the Information Strategy Planing for the Construction of the Online Information System for the Transaction of Art (미술품 거래정보 온라인 제공시스템 구축을 위한 정보전략계획)

  • Seo, Byeong-Min
    • Journal of Digital Convergence
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    • v.17 no.11
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    • pp.61-70
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    • 2019
  • The The government has recently announced its mid- to long-term plans for promoting art. With the advent of the 4th industrial revolution, contemporary art contents that are integrated with Intelligent Information Technologies such as Artificial Intelligence (AI), Virtual Reality (VR), and Big Data are being introduced, and social interest in humanities and creative convergence is rising. In addition, the industrialization of the art market is expanding amid the rising popularity of art among the general public and the growing interest of art as an investment replacement system, along with the strengthening of the creative personality education of our Education Ministry. Therefore, it is necessary to establish a strategy for transparency and revitalization of the art market by providing comprehensive information such as search functions, analysis data, and criticism by writer and price. This paper has established an information system plan for the establishment of an online supply system for art transaction information, providing auction transaction information for art market, providing report and news for art market, providing public relations platform, and providing art market analysis service and membership relationship management service. To this end, the future model was established through environmental analysis and focus analysis of the art market, and strategic tasks and implementation plans were established accordingly.

A Study on the Active Economic Activities by the Job Program to Overcome the Poverty of the Elderly in the Aged Society (고령사회 노인빈곤 극복의 일자리사업을 통한 적극적 경제활동 방안 고찰)

  • Kim, Young-Chul;Kim, Seo-Ho
    • Industry Promotion Research
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    • v.6 no.1
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    • pp.55-62
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    • 2021
  • This study regards the need for jobs to overcome the poverty of the elderly in an aged society, and as well as researches ways to participate in active economic activities in old age. The results of the study are as follows. First, the legal system needs to be improved. In addition to institutional support for the expansion of jobs for the elderly, improvement of awareness of the elderly and reinforcement of infrastructure such as a delivery system are required, and a legal basis for this is needed. To this end, occupations targeting the elderly must be selected first, and legal procedures must be prepared by the government. Second, there must be social consideration and support for the elderly. Extension of the retirement age plays an important role in enhancing employment for the elderly. Along with the improvement of the legal system, social consideration is required. Therefore, since the elderly policy without social consensus is bound to fail, various support methods that can lead to social support must be devised. Third, the elderly must have a sense of poverty and willingness to rehabilitate themselves. Elderly people should not only ask for their children and social support. The elderly must be able to find a way to become the economic agent themselves. To do this, a basic awareness of the elderly poverty consciousness is needed, and a change of awareness to escape the poverty of the elderly is necessary. Therefore, the elderly need to be self-reliant, and they must choose jobs according to their own abilities. In conclusion, the elderly job program is a part of income increase that solves the poverty of the elderly in the aged society, and the elderly are required to actively participate in economic activities.

Strategies for the Development of Watermelon Industry Using Unstructured Big Data Analysis

  • LEE, Seung-In;SON, Chansoo;SHIM, Joonyong;LEE, Hyerim;LEE, Hye-Jin;CHO, Yongbeen
    • The Journal of Industrial Distribution & Business
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    • v.12 no.1
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    • pp.47-62
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    • 2021
  • Purpose: Our purpose in this study was to examine the strategies for the development of watermelon industry using unstructured big data analysis. That is, this study was to look the change of issues and consumer's perception about watermelon using big data and social network analysis and to investigate ways to strengthen the competitiveness of watermelon industry based on that. Methodology: For this purpose, the data was collected from Naver (blog, news) and Daum (blog, news) by TEXTOM 4.5 and the analysis period was set from 2015 to 2016 and from 2017-2018 and from 2019-2020 in order to understand change of issues and consumer's perception about watermelon or watermelon industry. For the data analysis, TEXTOM 4.5 was used to conduct key word frequency analysis, word cloud analysis and extraction of metrics data. UCINET 6.0 and NetDraw function of UCINET 6.0 were utilized to find the connection structure of words and to visualize the network relations, and to make a cluster of words. Results: The keywords related to the watermelon extracted such as 'the stalk end of a watermelon', 'E-mart', 'Haman', 'Gochang', and 'Lotte Mart' (news: 015-2016), 'apple watermelon', 'Haman', 'E-mart', 'Gochang', and' Mudeungsan watermelon' (news: 2017-2018), 'E-mart', 'apple watermelon', 'household', 'chobok', and 'donation' (news: 2019-2020), 'watermelon salad', 'taste', 'the heat', 'baby', and 'effect' (blog: 2015-2016), 'taste', 'watermelon juice', 'method', 'watermelon salad', and 'baby' (blog: 2017-2018), 'taste', 'effect', 'watermelon juice', 'method', and 'apple watermelon' (blog: 2019-2020) and the results from frequency and TF-IDF analysis presented. And in CONCOR analysis, appeared as four types, respectively. Conclusions: Based on the results, the authors discussed the strategies and policies for boosting the watermelon industry and limitations of this study and future research directions. The results of this study will help prioritize strategies and policies for boosting the consumption of the watermelon and contribute to improving the competitiveness of watermelon industry in Korea. Also, it is expected that this study will be used as a very important basis for agricultural big data studies to be conducted in the future and this study will offer watermelon producers and policy-makers practical points helpful in crafting tailor-made marketing strategies.