• 융복합기술연구소 논문집
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• 제3권1호
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• pp.41-44
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• 2013

Process and manufacturing data are numerously accumulated to the enterprise database in industries but little of those data are utilized. Data mining can support a decision to manager in process from the data. However, it is not easy to field managers because a proper adoption of various schemes is very difficult. In this paper, six scenarios are conducted using data mining schemes for the various situations of field claims such as yield problem, trend analysis and prediction of yield according to changes of operating conditions, etc. Scenarios, like templates, of various analysis situations are helpful to users.

• International Journal of Reliability and Applications
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• 제4권2호
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• pp.79-95
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• 2003

Manufacturers collect and analyze field reliability data to enhance the quality and reliability of their products and to improve customer satisfaction. To reduce the data collecting and maintenance costs, the amount of data maintained for evaluating product quality and reliability should be minimized. With this in mind, some industrial companies assemble warranty databases by gathering data from different sources for a particular time period. This “marginal count failure data” does not provide (i) the number of failures by when the product entered service, (ii) the number of failures by product age, or (iii) information about the effects of the operating season or environment. This article describes a method for estimating age-based claim rates from marginal count failure data. It uses covariates to identify variations in claims relative to variables such as manufacturing characteristics, time of manufacture, operating season or environment. A Poisson model is presented, and the method is illustrated using warranty claims data for two electrical products.

• 한국철도학회논문집
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• 제20권5호
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• pp.703-712
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• 2017

철도는 인터페이스 산업으로 철도차량 선로 관제 등이 유기적으로 맞물려야 움직일 수 있다. 이를 정상적으로 운영하기 위해서는 많은 유지보수 활동이 필요한데 이러한 활동과정에서 발생하는 데이터들은 각 분야별로 관리하고 있어 업무특성에 따라 위치, 시간 등 기준 데이터가 각각 상이하여 시 공간 기반의 통합 분석을 할 수 없는 실정이다. 각 분야별로 상이한 데이터를 통합 분석하기 위해서는 데이터마이닝 기법을 통해 유의미한 정보를 추출하여 분석하는데, 이러한 분석을 위해서는 데이터 유형의 상호관련성을 인지하기 위한 기준정보의 추출과 매핑이 반드시 필요하다. 본 연구는 서로 다른 분야에서 발생하는 안전과 관련된 데이터에 대한 매핑 툴 선정과 결과에 대하여 검증을 수행하고자 한다.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2021년도 춘계학술대회
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• pp.483-486
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• 2021

데이터의 폭발적인 증가와 함께 데이터를 통한 새로운 가치와 인사이트 도출에 주력하는 '빅데이터 시대'가 도래했다. 데이터 분석 기술의 발전에 따라 진단 및 치료 및 예방 분야에서 데이터 분석 및 활용의 중요성이 확대되고 있으며, 헬스케어 분야에서는 빅 데이터 활용이 부각되고 있다. 또한 2020년 1월 데이터 3법(개인정보 보호법, 정보 통신망법, 신용정보법)이 통과되면서 가명 정보를 통한 다양한 빅데이터 활용이 가능해졌다. 그러나 다양한 정책과 규제, 일관되지 않은 데이터 품질, 전문 인력 부재 등으로 인해 헬스케어 분야의 빅데이터 활용은 여전히 어려움을 겪고 있다. 본 연구에서는 헬스케어 분야의 빅데이터 활용 현황을 살펴보고 헬스케어 빅데이터 활용 활성화를 위한 해결과제, 해외사례, 방안 및 기대 효과를 분석한다.

• Bulletin of the Korean Chemical Society
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• 제18권9호
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• pp.976-981
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• 1997

The magnetic susceptibilities of molybdenum ions with 4d1 electronic configuration in the octahedral crystal field were calculated on the basis of ligand field theory. The experimental magnetic susceptibilities for molybdenum ions, which are stabilized at the octahedral site in the perovskite lattice of Ba2ScMoⅤO6 and Sr2YMoⅤO6, were compared with the theoretical ones. We have tried to fit their temperature dependence of magnetic susceptibility with ligand field parameters, spin-orbit coupling constant ζSO, and orbital reduction parameter κ according to intermediate field coupling and strong field theory. Strong field coupling theory could not explain experimental curves without unrealistically large axial ligand field, since it ignores the mixing up between different state via spin-orbit interaction and ligand field. On the other hand, the intermediate field coupling theory could successfully reproduce experimental data in octahedral and trigonal ligand field. The fitting result demonstrates not only the fact that spin-orbit interaction is primarily responsible for the variation of magnetic behavior but also the fact that effective orbital overlap, enhanced by cubic crystal structure, reduces significantly orbital angular momentum as indicated by κ parameter.

• 한국정밀공학회지
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• 제18권4호
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• pp.37-45
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• 2001

• Wind and Structures
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• 제8권2호
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• pp.121-134
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• 2005

Wind-induced vibrations measured in the Tsuruga Test Line are characterized in this paper by single-channel data analysis based on piecewise application of Prony's method. Some of events were identified as galloping, while most of events were buffeting responses, which were confirmed partly by the buffeting analysis. Effects of end condition etc. on the response characteristics are also discussed.

• 대한설비공학회:학술대회논문집
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• 대한설비공학회 2008년도 하계학술발표대회 논문집
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• pp.103-108
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• 2008

Automatic control makes the air-handling unit go into operation and determines the functions of high-efficient and energy-saving machines. Yamatake, an automatic control system manufacturer, have expanded fault detection and diagnosis, and data volumes so as to achieve higher technology in control by developing a sensor which makes field data visible, an actuator and Intelligent Conponent. This study, thus, focuses on applications for saving energy with Intelligent Conponent and goes in for easing global warming by creating future field data-based applications.

• 대한수학회지
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• 제58권1호
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• pp.1-28
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• 2021

We study a continuous data assimilation algorithm for the three-dimensional simplified Bardina model utilizing measurements of only two components of the velocity field. Under suitable conditions on the relaxation (nudging) parameter and the spatial mesh resolution, we obtain an asymptotic in time estimate of the difference between the approximating solution and the unknown reference solution corresponding to the measurements, in an appropriate norm, which shows exponential convergence up to zero.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제14권1호
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• pp.323-343
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• 2020

With the rapid development of computer and communication techniques, copyright protection of vector geographic data has attracted considerable research attention because of the high cost of such data. A novel adaptive watermark detection algorithm is proposed for vector geographic data that can be used to qualitatively analyze the robustness of watermarks against data addition attacks. First, a watermark was embedded into the vertex coordinates based on coordinate mapping and quantization. Second, the adaptive watermark detection model, which is capable of calculating the detection threshold, false positive error (FPE) and false negative error (FNE), was established, and the characteristics of the adaptive watermark detection algorithm were analyzed. Finally, experiments were conducted on several real-world vector maps to show the usability and robustness of the proposed algorithm.