• The Journal of the Korea Contents Association
• /
• v.6 no.1
• /
• pp.54-63
• /
• 2006

In this paper we will propose a domain analysis methodology that uses an extended workflow mechanism based on dynamic modeling to solve problems of a traditional domain analysis on legacy systems. This methodology is called WODA(Workflow Oriented Domain Analysis). Following procedures on WODA, we can identify common/uncommon component, and also extract the cluster of components. It will be effectively reusable on developing new systems with these components. With our proposed component testing metrics, we can determine highly reusable component/scenario on identifying possible scenarios of the particular system. We can also recognize most critical/most frequent reusable components and prioritize possible component scenarios of the system. This paper contains one application of UPS that illustrates our autonomous modeling tool, WODA.

• Journal of Environmental Impact Assessment
• /
• v.11 no.1
• /
• pp.13-23
• /
• 2002

본 연구에서는 침출수를 비롯한 매립지의 각종 오염물질 배출로 수자원이 오염되어 피폭체의 피해가 빈발하는 문제를 해결하기 위해서, 매립지의 상대적 유해성을 평가하여 한정된 환경관리 예산의 합리적 배분을 위한 우선순위를 결정할 수 있는 의사결정 지원도구로서 LHR(Landfill Site Hazard Ranking)모형을 개발했다. LHR모형은 다요소의사결정(多要素意思決) 기법에 정성적 위해성(危害性) 평가기법을 접맥시켜 주관적 가중치를 모형에 반영한 가치내재화(價値內在化) 모형이다. LHR모형은 피폭체의 주요 피폭경로를 지하수 이동경로와 지표수 이동경로로 보았으며, 각 이동경로별로 누출 가능성, 폐기물 특성 및 피폭체 특성으로 요소범주를 3종류로 구분하여 폐기물의 독성이나 매립량같은 특성이 매립지의 수리지질학적 요소 및 자연지리적 요소에 의해 결정되는 오염물질의 누출 가능성을 통해 매립지 주변의 지역주민과 취약한 수생태계 같은 피폭체에 끼치는 매립지의 유해성을 상대적으로 평가했다. 그리고 LHR모형에서는 매립지 유해성을 공기 이동경로 및 사회경제적 측면에서도 평가하기 위해 매립지 이격거리별 토지이용 형태의 유해성을 평가했다. 그리고 각 평가요소별 가중치는 위계분석과정(位階分析過程)의 쌍대비교법(雙對比較法)에 의하여 할당했으며, 민감도 분석으로 LHR모형을 검증했다.

• Transactions of the Korean Society of Mechanical Engineers A
• /
• v.20 no.8
• /
• pp.2436-2448
• /
• 1996

This paper presents the development of three types of network performance manager for IEEE 802.4 token bus networks that are a part of Manufacturing Automation Protocol(MAP). The performance managers attempt to keep the average data latency below a certain level specified for each priority class. All of the three performance managers are based on a set of fuzzy rules incorporating the knowledge on the relationship between data latency and parameters of the priority mechanism. These Fuzzy Network Performance Managers(FNPMs) have been evaluated via discrete event simulation to demonstrate their efficacy.

• KSCE Journal of Civil and Environmental Engineering Research
• /
• v.38 no.3
• /
• pp.487-496
• /
• 2018

In route selection process of NIMBY facilities, many conflicts occur due to route selection procedure and NIMBY syndrome. Especially, the social conflicts surrounding the site selection and operation are frequent enough to account for 70% of the total conflict cases, causing significant losses. To resolve the conflict in route selection, social conflicts are considered. Therefore, this study proposes an improved process of selecting route considering social conflicts in the power transmission line. First, the analysis of previous research trends and interviews with experts revealed the improved exclusion zone criteria, the factors and priorities of NIMBY facilities. After selecting the candidate routes, the optimal route is selected by using Fuzzy-TOPSIS. Hence, 83.3% of six experts have verified that this model minimizes conflicts and has sufficient applicability. The proposed model is expected to be used as a tool to minimize social conflict in the selection process of the power transmission line in the early stage of the project.

• Journal of the Korean Society for information Management
• /
• v.30 no.3
• /
• pp.157-181
• /
• 2013

Using user satisfaction surveys and LibQUAL+ instruments, libraries are increasingly gathering qualitative data such as verbatim user comments as well as quantitative data. Such qualitative data can be utilized as clues in establishing library service strategies: to better understand user issues, to identify areas for service improvement, and to prioritize user needs. For this, it is necessary to analyze user comments data and to apply results to the delivery of service and the library policies. This study is an attempt to investigate ways in which user comments data can be made useful in libraries. It identifies different methods of analyzing user comments data from LibQUAL+ surveys and compares qualitative data analysis software programs and taxonomies. It also presents the results of applying these tools to a subset of actual user comments data gathered from a recent LibQUAL+ survey at a major university library in Korea.

• The KIPS Transactions:PartD
• /
• v.13D no.3 s.106
• /
• pp.415-424
• /
• 2006

There are increasing numbers of foreign and domestic organizations that are using CMM/CMMI to establish their processes and keep improving them. CMMI and IDEAL models of SEI provide the best practices of processes and guide the organization using them based on processes maturity levels. However, they do not deal with their tools or methods that describe how to implement the processes in the organization. Therefore, in this paper, we developed a method in which various tools and statistical methodology of 6 sigma are applied to identify the process areas to be improved, to extract problems in those areas and to prioritize them. We expect this paper can contribute to the organizations that are searching for practical way of implementing CMMI based software process improvement and of identifying improvement items systematically. Also this method will be used to understand the result of improvement activities quantitatively.

• Journal of the Korea Institute of Building Construction
• /
• v.10 no.6
• /
• pp.7-17
• /
• 2010

Modern construction technology has been highly systemized, which has simplified the construction methods applied to construction sites. However, on reinforced concrete construction sites, there have recently been many new disasters, and these have been bigger than before due to the heavy dependency on manpower. This study investigates the cause and cases of disasters during reinforced concrete construction. In addition, the study surveyed the psychological condition of construction site personnel in relation to the safety awareness and the causes of disasters, while deriving the basic components related to disasters on construction sites in order to analyze the relationship between each component to suggest an efficient safety management measures checklist. Construction site personnel should utilize the results drawn from this study as a disaster prevention tool to use in a safety education class, and not consider this simply as statistical data, but as a checklist to ensure full awareness of the appropriate priorities for safety categories to utilize in the reinforced concrete construction in order to execute reasonable safety management.

• Journal of The Korean Association of Information Education
• /
• v.25 no.5
• /
• pp.673-681
• /
• 2021

This study is a case study of artificial intelligence education subjects in the graduate school of education. The main educational contents consisted of understanding and practice of machine learning, data analysis, actual artificial intelligence using Entries, artificial intelligence and physical computing. As a result of the survey on the educational effect after the application of the curriculum, it was found that the students preferred the use of the Entry AI block and the use of the Blacksmith board as a physical computing tool as the priority applied to the elementary education field. In addition, the data analysis area is effective in linking math data and graph education. As a physical computing tool, Husky Lens is useful for scalability by using image processing functions for self-driving car maker education. Suggestions for desirable AI education include training courses by level and reinforcement of data collection and analysis education.

• 한국정보교육학회:학술대회논문집
• /
• 2021.08a
• /
• pp.401-409
• /
• 2021

This study is a case study of artificial intelligence education subjects in the graduate school of education. The main educational contents consisted of understanding and practice of machine learning, data analysis, actual artificial intelligence using Entries, artificial intelligence and physical computing. As a result of the survey on the educational effect after the application of the curriculum, it was found that the students preferred the use of the Entry AI block and the use of the Blacksmith board as a physical computing tool as the priority applied to the elementary education field. In addition, the data analysis area is effective in linking math data and graph education. As a physical computing tool, Husky Lens is useful for scalability by using image processing functions for self-driving car maker education. Suggestions for desirable AI education include training courses by level and reinforcement of data collection and analysis education.

• Korean Journal of Construction Engineering and Management
• /
• v.9 no.5
• /
• pp.159-167
• /
• 2008

This study provides a effective approach to the construction management problem with the limited number or amount of available resources using the analytic hierarchy process. Construction management is a series of decision making processes for planning and controling of cost, time and quality as main objectives in construction works. When several activities need the limited same resource at the same time, it is very hard to decide the priority of the activities in the real situations. For that the scientific decision making method and procedure for resource allocation are required. This study solves the resource allocation problem by dealing with the decision making problem which the activities are distributed to multiple projects and under multiple criteria. The analytic hierarchy process is a method devised to solve complex multi-criteria decision problems. The result shows that this study can be effectively used to make decisions in situations involving multiple objectives by evaluating the prioritized ranking and degree of the activity alternatives based on the overall preferences.