• 한국철도학회:학술대회논문집
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• 한국철도학회 2007년도 추계학술대회 논문집
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• pp.191-196
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• 2007

This paper is reviewed RAM(Reliability, Availability and Maintainability) data table utilized for RAM data management to Urban Maglev Transit. As railway systems become more complex, the RAM requirements are reinforced to ensure that a design meets Reliability, Availability, Maintainability criteria. Therefore, it needs the efficient management for RAM data of railway system to meet RAM target. At this study, RAM data management format is suggested to ensure reliability and maintainability based on acquired experience for overseas rolling stock. This RAM data table and FMECA(Failure Mode Effect Criticality Analysis) table are useful to the calculation of MTBF(Mean Time Between Failure), MTBSF(Mean Time Between Service Failure) and Maintainability. Also, this RAM management table will be efficient to improve the RAM evaluation to Urban Maglev Transit.

• 국제학술발표논문집
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• The 3th International Conference on Construction Engineering and Project Management
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• pp.956-961
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• 2009

When construction engineers perform their work in the jobsite, they have to record as-built conditions in the project log (Data Collection). On the other hand, the engineers often have to refer to the construction documents when necessary at the job faces (Data Access). The practice of Data Collection and Data Access in the jobsite can be greatly enhanced by utilizing mobile computing with wireless communications. In this paper, two cases of mobile computing applications for construction field management are presented; Mobile Specifications System and Mobile Data Collection System. The demonstration of the process for developing two mobile applications is the primary purpose of the paper. The problems and issues involved with adopting mobile computing for construction field are also presented. The simple information framework for mobile computing has been also proposed as an outcome of the research. As for development tools, readily available relational database and wireless network have been used. The use of commercial mobile broadband was examined for data communication where local area network is not available.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2024년도 춘계학술발표대회
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• pp.27-30
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• 2024

A digital platform government without boundaries between the public and private sectors and between government ministries is impossible without national data management. Logical verification was carried out in this study following the definition of the national data management system's purpose, elements, and mode of implementation. Specifically, it was broken down into three dimensions in an effort to review different aspects: the management subject, the management method, and the designation target of national data. Finally, a description of the national master data management system and organization was given. The direction for the implementation of the digital platform government will be presented by this study.

• 반도체디스플레이기술학회지
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• 제21권2호
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• pp.133-137
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• 2022

In the smart industry where data plays an important role, cloud computing is being used in a complex and advanced way as a convergence technology because it has and fits well with its strengths. Accordingly, in order to utilize artificial intelligence rather than human beings for quality management of cloud computing services, a consistent standardization method of data collected from various nodes in various areas is required. Therefore, this study analyzed technologies and cases for incorporating artificial intelligence into specific services through previous studies, suggested a plan to use artificial intelligence to comprehensively standardize data in quality management of cloud computing services, and then verified it through case studies. It can also be applied to the artificial intelligence learning model that analyzes the risks arising from the data formalization method presented in this study and predicts the quality risks that are likely to occur. However, there is also a limitation that separate policy development for service quality management needs to be supplemented.

• 국제학술발표논문집
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• The 3th International Conference on Construction Engineering and Project Management
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• pp.1068-1074
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• 2009

The progress is widely used as a critical index for successful construction project management. In spite of the importance of progress measurement, the excessive management effort to collect and maintain detailed data has been highlighted as a major barrier to measurement of highly accurate progress. In order to reduce the required workload and to enhance accuracy, several researches have been conducted. These researches can be categorized into two groups. First group focuses on automated data collection utilizing advanced technologies only for limited construction tasks. The second group is a research area where the standard progress measurement methodologies encompassing entire construction tasks are investigated. Topics include the adjusting the level of details, standardizing work processes, and applying flexible WBS. However, the techniques for automated data collection are not fully investigated yet in the second group. Combining these two research areas can provide a solution for more effective progress management in terms of enhancing accuracy and optimizing workload. However, there has been no comprehensive research addressing these two research groups in an integrated manner. In this context, the purpose of this paper is to propose a methodology that identifies the most suitable measurement method and data acquisition technology (e.g., GPS, RFID, etc.) for entire construction tasks of a project. The proposed methodology in this paper will be able to facilitate the selection process of data acquisition technologies for entire construction tasks of a project and to support the overall enhancement of automated progress management.

• 한국조경학회지
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• 제29권2호
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• pp.68-76
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• 2001

The purpose of this study is to computerize street tree management using a CAD program in order to manage the drawing record of street trees systematically and concurrently. The configuration of this program is composed of Reference Data, Data Inquiry, and Cost Assessment. The Reference Data includes characteristics of trees, monthly managements records, damage by blight and insects and usage of pesticides. The Data Inquiry includes an individual search of the tree index, simple searches and multiple searches. The Cost Assessment includes two main components, the data input with labor cost, manure ocst and pesticide cost and the assesment of management cost for prevention of blight and insects, pruning and fertilization. The results of this study are as follows: 1) When there are practices such as transplanting and removing of street trees it is immediately updated with the various situation. By creating an in progress a tree management system, up to the date information can be given to the manager for decision making. 2) To identify individual tree at the site or in drawing, the street name and numbers were used instead of coordinates. Tree tags are attached to the street trees individually. It can make DB management simple and easy. 3) By doing simple or multiple search with constructed DB, data can be provided quickly. 4) The result of this type of search are useful in the assessment of management cost very useful in regards to items such as the pruning, pesticides scattering and fertilization. 5) By using the AutoCAD software and existing PC without purchasing new equipment, the cost of system implementation can be minimized.

• 환경영향평가
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• 제8권1호
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• pp.17-27
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• 1999

Applicability of LCA in establishing the integrated solid waste management were examined. Data were collected from current waste management system. LCA method was then applied to find environmentally sustainable waste management. The process comprises five steps : (1) collecting data, comparing the data with comprehensive urban planning as well, (2) analyzing the current waste treatment procedure leading to the database establishment, (3) LCA for the waste management system, (4) finding alternative scenarios based on the former steps, (5) establishing the optimum method in Ecopolis, best fitted to the local situation. The results and suggestions in this study are expected to yield comprehensive analysis as to current practices in waste management. More importantly it will be a valuable data in minimizing environmental burdens in connecting with living environments of Ecopolis. Information regarding the urban system and total environmental quality are expected from this study.

• 산업공학
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• 제17권4호
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• pp.397-406
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• 2004

It is widely known that labor costs are continuously and rapidly growing in terms of the raw cost of products in Korea. The increased labor costs are degrading the competitiveness of dairy industry sector as in the other major industrial fields. Furthermore, the number of dairy farms is constantly decreasing while that of dairy cattle is increasing. Thus, mechanized and/or automated stockbreeding management systems are crucially required to support professional stockbreeding management, as well as to enhance the productivity of the sector. Hence this paper develops an IIS (Integrated Information System) for dairy cattle stockbreeding management. IIS is composed of five application modules and associated utility programs. The five modules are individual stock management, milking management, feeding management, propagation management, and disease management. The utility programs are involved in stock farm accounting, and handy unloading of individual stock data into a personal data acquisition device. Compared with existing foreign products, the developed system takes advantages of various stock body measurement data such as body weight, body temperature, milk conductivity, milking amount, and the number of walking steps. All the measured data are transmitted into a programmable logic controller that monitors and controls measurement devices. The transmitted data are finally aggregated into an integrated database located in the main personal computer. The integrated data are analyzed and reformed in the five modules of IIS, then, used for providing farmers with various farm states and information through application module scenes. Hence, IIS keeps the each module work in a systematic and compatible manner, while supervising the whole stockbreeding management system.

• 대한산업공학회지
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• 제39권1호
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• pp.1-9
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• 2013

The current manufacturers have generated tremendous amount of digitized product data to efficiently share and exchange it with other stakeholders or various software systems for product development. The digitized product data is a valuable asset for manufacturers, and has a potential to support high level strategic decision makings needed at many stages in product development. However, the lack of studies on extraction of key performance indicators(KPIs) from product data management(PDM) databases has prohibited manufacturers to use the product data to support the decision makings. Therefore this paper examines a possibility of an architecture that supports KPIs for evaluation of product development performances, by applying multidimensional product data model and on-line analytic processing(OLAP) to operational databases of product data management. To validate the architecture, the paper provides a prototype product data management system and OLAP applications that implement the multidimensional product data model and analytic processing.

• 한국기록관리학회지
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• 제21권4호
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• pp.1-18
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• 2021

본 연구에서는 오늘날 기록관리는 정보통신 기술의 발전과 업무환경이 급변하고 정부의 규모와 여러 기능들이 확대되면서 행정업무에서 발생하는 기록과 그에 따른 데이터 생산량이 대폭 증가함에 따라 관리에 대한 중요도가 커졌다. 빅데이터의 특성을 가진 공공기록물의 개념과 빅데이터 특징을 연계하여 사례로 설명한다. 빅데이터 발생 환경에 따른 사회적, 기술적, 환경적, 경제적, 정치적 영역으로 살펴보기 위해 'STEEP'분석을 실시하였다. 공공기록관리분야에서 빅데이터 기술 적용 적절함과 필요성을 알아보고 활용이 가능한 업무 분석을 통해 공공기록관리 업무의 최우선 적용 가능한 프레임워크를 도식하고 업무 시사점을 제시하였다. 첫째, 공공기록관리 절차와 표준에 '분석' 단계를 넣고 기록관과 기록물관리전문요원들에 의해 빅데이터 분석기술을 적용할 수 있는 신규 조직과 추가연구와 시도가 필요하다. 둘째, 많은 양의 데이터 속에 비구조화 되어있고 숨겨져 있는 패턴을 발견할 수 있도록 통합적 사고와 관련이 있는 '빅데이터 분석 자격'을 갖춘 기록물관리전문요원을 양성하여야 한다. 셋째, 공공기록분야에 빅데이터기술과 인공지능을 결합하여 자가 학습 시킨 후, 맥락을 분석하고 이를 통해 공공기관의 사회 현상과 환경을 분석하고 예측 되도록 하여야 한다.