• 한국디지털정책학회:학술대회논문집
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• 2007.06a
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• pp.51-58
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• 2007

Considering innovation a key to raising living standards, the Ministry of Science and Technology has put in place various measures meeting the needs of the newly promoted Deputy Prime Minister of Science and Technology. Such measures include business process reengineering as streamlining the work process to achieve the improvement in quality and efficiency: building the integrated performance management system to promote performance-or tented environment; and running the 1ifelong learning system for better competitiveness of government officials. Further to the innovation efforts at work, the number of steps of the R&D budget execution is streamlined from eight to five and its payment period is considerably reduced to 15 days from 60 days. In addition, the digitalized R&D budget management systems such as e-Contract System, One-click Processing Monitoring System, and Information Service System through Short Message Service (SMS) will contribute to improving R&D performance. And these systems are efficiently integrated into a portal interface named "Yeon-gu-ma-ru." The Ministry of Science and Technology, spearheading nationwide innovation, will continue efforts to make viable achievements of innovation.

• Journal of Intelligence and Information Systems
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• v.29 no.4
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• pp.287-308
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• 2023

After launching its service in November 2022, ChatGPT has rapidly increased the number of users and is having a significant impact on all aspects of society, bringing a major turning point in the history of artificial intelligence. In particular, the inference ability of large language models such as ChatGPT is improving at a rapid pace through prompt engineering techniques. This reasoning ability can be considered as an important factor for companies that want to adopt artificial intelligence into their workflows or for individuals looking to utilize it. In this paper, we begin with an understanding of in-context learning that enables inference in large language models, explain the concept of prompt engineering, inference with in-context learning, and benchmark data. Moreover, we investigate the prompt engineering techniques that have rapidly improved the inference performance of large language models, and the relationship between the techniques.

• Journal of Distribution Science
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• v.15 no.12
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• pp.95-102
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• 2017

Purpose - This study aims to develop diagnostic indices for managerial performance of agro-food distribution corporations. In particular, weights of diagnostic indices were estimated using the AHP method. Management diagnosis on agro-food distribution corporations is expected to increase their competitiveness in the domestic market as well as in international markets. Research design, data, and methodology - It develops weights or importance of the diagnostic indices based upon the survey of 21 experts in food distribution management. The survey was carried out using e-mail. Management diagnostic indices were developed based upon four BSC(Balanced Scorecard) perspectives of finance, learning/growth/leadership, customer, and internal process/technology. Results - Diagnostic indices on financial perspective consist on profitability, productivity, growth, stability and activity. Learning and leadership perspective indices consist of management will, CEO leadership, level of learning, innovation, and level of management information system. Customer perspective indices are branding, customer and channel management and internal process/technology indices consist of fourteen sub-indices representing technologies, efficiency, and dynamics. It was estimated that the weight of financial perspective index was 0.3, internal process/technology perspective index 0.248, customer category index 0.247, and learning, growth and leadership perspective index 0.205. This study also estimates weights of sub-indices for managerial diagnosis by four different perspectives. Estimated weight of profitability (0.085) is the greatest among financial perspective indices, followed by stability (0.072), growth (0.053), productivity (0.051), and activity (0.038). While estimated weights of leadership, capability, and information indices are 0.100, 0.061, and 0.044 respectively, weights of marketing, customer management, and quality and service indices are 0.104, 0.093, and 0.051, respectively. Among internal process/technology perspective, estimated weights of efficiency, technology, and innovation indices are 0.106, 0.088, and 0.054, respectively. Conclusions - The diagnostic indices for managerial performance of agro-food distribution corporations would be utilized by agro-food distribution corporations themselves, extension service institutions, and consultants. It is also expected that central and local governments use diagnostic indices developed in this study for the purpose of evaluating the effects of governmental support programs for agro-food distribution corporations. Futhermore researchers and consultants would modify diagnostic indices developed in this study, reflecting characteristics and situation of types of agro-food distribution corporations.

• Journal of The Korean Society of Agricultural Engineers
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• v.61 no.4
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• pp.43-54
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• 2019

The present study aims to monitor three of the community empowerment projects implemented as part of the community central revitalization projects in Yeongwol. We used an established indicator (i.e., quantitative evaluation) as well as an interview (i.e., qualitative evaluation) throughout the monitoring process. The PM (project manager) committee members, consisting of six interdisciplinary experts, carried out the monitoring from $24^{th}$ of October until the $26^{th}$ of November 2018. We categorized the results of the monitoring into the aspects of needs, software, and hardware, and analyzed them as follows: First, although the locals were willing to take part in programs, they were in overall not well informed about the ongoing programs and the program that suits their needs the most. The service organization should therefore actively publicize the program and provide sufficient information about it .Second, instead of a one-off program, the locals should be empowered to take over the program eventually and develop it as a local business model. Last, the locals from the center as well as the outskirts of Yeongwol should organize a learning net, collaboratively develop a further program, and assess its effectiveness by employing a thorough monitoring system.

• Journal of Intelligence and Information Systems
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• v.18 no.4
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• pp.43-57
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• 2012

To enhance the competitive advantage in a constantly changing business environment, an enterprise management must make the right decision in many business activities based on both internal and external information. Thus, providing accurate information plays a prominent role in management's decision making. Intuitively, historical data can provide a feasible estimate through the forecasting models. Therefore, if the service department can estimate the service quantity for the next period, the service department can then effectively control the inventory of service related resources such as human, parts, and other facilities. In addition, the production department can make load map for improving its product quality. Therefore, obtaining an accurate service forecast most likely appears to be critical to manufacturing companies. Numerous investigations addressing this problem have generally employed statistical methods, such as regression or autoregressive and moving average simulation. However, these methods are only efficient for data with are seasonal or cyclical. If the data are influenced by the special characteristics of product, they are not feasible. In our research, we propose a forecasting framework that predicts service demand of manufacturing organization by combining Case-based reasoning (CBR) and leveraging an unsupervised artificial neural network based clustering analysis (i.e., Self-Organizing Maps; SOM). We believe that this is one of the first attempts at applying unsupervised artificial neural network-based machine-learning techniques in the service forecasting domain. Our proposed approach has several appealing features : (1) We applied CBR and SOM in a new forecasting domain such as service demand forecasting. (2) We proposed our combined approach between CBR and SOM in order to overcome limitations of traditional statistical forecasting methods and We have developed a service forecasting tool based on the proposed approach using an unsupervised artificial neural network and Case-based reasoning. In this research, we conducted an empirical study on a real digital TV manufacturer (i.e., Company A). In addition, we have empirically evaluated the proposed approach and tool using real sales and service related data from digital TV manufacturer. In our empirical experiments, we intend to explore the performance of our proposed service forecasting framework when compared to the performances predicted by other two service forecasting methods; one is traditional CBR based forecasting model and the other is the existing service forecasting model used by Company A. We ran each service forecasting 144 times; each time, input data were randomly sampled for each service forecasting framework. To evaluate accuracy of forecasting results, we used Mean Absolute Percentage Error (MAPE) as primary performance measure in our experiments. We conducted one-way ANOVA test with the 144 measurements of MAPE for three different service forecasting approaches. For example, the F-ratio of MAPE for three different service forecasting approaches is 67.25 and the p-value is 0.000. This means that the difference between the MAPE of the three different service forecasting approaches is significant at the level of 0.000. Since there is a significant difference among the different service forecasting approaches, we conducted Tukey's HSD post hoc test to determine exactly which means of MAPE are significantly different from which other ones. In terms of MAPE, Tukey's HSD post hoc test grouped the three different service forecasting approaches into three different subsets in the following order: our proposed approach > traditional CBR-based service forecasting approach > the existing forecasting approach used by Company A. Consequently, our empirical experiments show that our proposed approach outperformed the traditional CBR based forecasting model and the existing service forecasting model used by Company A. The rest of this paper is organized as follows. Section 2 provides some research background information such as summary of CBR and SOM. Section 3 presents a hybrid service forecasting framework based on Case-based Reasoning and Self-Organizing Maps, while the empirical evaluation results are summarized in Section 4. Conclusion and future research directions are finally discussed in Section 5.

• 한국정보교육학회:학술대회논문집
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• 2005.08a
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• pp.322-330
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• 2005

현대 사회는 정보의 홍수 시대로서, 날로 늘어나는 정보의 바다 속에 검색의 한계도 존재하며 사람들이 원하는 정보를 선별하는 능력이나 방법도 고도화 되어져야 한다. 본 논문에서는 이러한 문제점을 해결하기 위해서 교육용 문서에 적합한 카테고리를 가지고 있는 RSS에 대한 소개와 함께 RSS 리더를 설계하고 구현하고자 한다. RSS 신디케이션 포맷은 누구든지 코멘트, 뉴스 헤드라인, 최신기사에 대한 링크, 설명 그리고 이미지 등을 쉽게 공유할 수 있도록 해준다. 이러한 정보는 웹사이트뿐만 아니라 PDA, 핸드폰, 이메일 등에서도 자유롭게 볼 수 있다. 이러한 RSS 기술은 e-learning에서도 추후 변화를 가져다 줄 것으로 예상된다. 교수설계자가 설계한 학습단위의 완성을 위해 자료를 수집하여 초고와, 원고를 만들기 위해 교정, 교열을 하며, 디자이너를 통해 HTML 페이지를 만들던 기존의 프로세스를 대폭 간소화시켜 줄 수 있기 때문이다.

• Proceedings of the Korea Contents Association Conference
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• 2011.05a
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• pp.79-80
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• 2011

국방기술 및 무기체계의 도입은 다양한 형태의 정보원을 바탕으로 다각정인 분석을 해야 하며, 국가 경제 및 정치적인 사항 등 많은 요소의 영향을 받는다. 또한 한 번 도입된 체계는 짧게는 5년에서 길게는 10년 혹은 15년에 이르기 까지 아주 오랜 기간동안 도입되어야 하기 때문에 개발 단계에서 이를 전력화 하고 유지 보수하는 단계에 이르기 까지 일괄적이면서도 미래 선도 기술에 대한 예측이 가능하도록 서비스가 되어야 한다. 아울러 해를 거듭할 수록 최첨단 군사기술이 등장하고 있기 때문에 다양한 학습 콘텐츠를 제공하기 위해서는 시맨틱 검색에 기반한 다양한 국방 기술 정보를 제공하는 시맨틱 검색 환경을 제공해야 한다. 본 고에서는 이에 따른 시맨틱 검색 및 복합지식 기반 이러닝 환경의 프로토타입을 제시한다.

• Proceedings of the Korean Information Science Society Conference
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• 2012.06d
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• pp.35-37
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• 2012

원격교육과 e-러닝의 차세대 형태로 모바일 교육에 대한 관심이 급증하고 있다. 이러한 모바일 교육은 스마트폰을 중심으로 전개되고 있으며 사이버 대학교뿐만 아니라 일반 오프라인 대학에서도 적극적인 움직임을 보이고 있다. 본 논문에서는 u-캠퍼스 환경기반에서의 모바일 교육 서비스 시스템을 설계하였다. 모바일 교육 서비스 시스템은 u-캠퍼스 환경기반에서 교육 수요자들인 학생들에게 시공간의 제약 및 디바이스에 제약이 없는 학습 환경 시스템을 제공하고 모바일 캠퍼스 플랫폼 기반의 m-러닝 시스템을 설계한 것이다.

• International Journal of Quality Innovation
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• v.6 no.3
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• pp.1-18
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• 2005

This paper presents the empirical research results conducted in a Swedish care organization for elderly and handicapped. The objective of the research was to empirically assess the implementation and practices of a quality system (ISO 9000) from an organizational change and development perspective. The empirical data were collected through multiple methods; interviews were carried out with key-persons and leadership in the organisation and surveys were conducted to all employees. Interactive methods have been applied to various groups in the organisations e.g., directors, supervisors, and the leadership of the quality project and the local politicians. The empirical findings indicate, among others, that the implementation processes were received and perceived differently in the different parts of the care organisation due to different leadership strategies and employee involvement policies. Other critical factors such as acceptance, resistance, motivation, commitment, the role of leadership, learning possibility, etc. have also been investigated, analysed and discussed. Finally some recommendations on how to approach organisational change as well as strategies for implementing a quality system in the care sector are presented.

• Journal of Korea Society of Digital Industry and Information Management
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• v.7 no.4
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• pp.101-110
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• 2011

The change of digital convergence service environment converted the subject of design into user -centric one instead of developer-centric one, and changed the existing design environment focused on product development into the new user -centric design environment. Accordingly, GUI considering user's usability come to take big shares in those contents being used for multimedia equipments. However, as the present educational contents provide complex interface due to its design produced based on the existing e-learning system, they have many problems in that they don't consider user's usability. Thus this paper aimed to analyze actual examples through GUI elements of educational contents being used for multimedia equipments and attempt to suggest some directions for development. additionally, consider the various characteristics of digital convergence environment and educational contents, and try to set up strategic directions possible to utilize user'-centric interface elements more usefully and properly at the time to produce designs.