• Communications for Statistical Applications and Methods
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• 제17권4호
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• pp.551-560
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• 2010

This paper considers a Bayesian approach to modeling a flexible regression function under structural measurement error model. The regression function is modeled based on semiparametric regression with penalized splines. Model fitting and parameter estimation are carried out in a hierarchical Bayesian framework using Markov chain Monte Carlo methodology. Their performances are compared with those of the estimators under structural measurement error model without a semiparametric component.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1996년도 한국자동제어학술회의논문집(국내학술편); 포항공과대학교, 포항; 24-26 Oct. 1996
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• pp.367-370
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• 1996

This study deals with the motion modeling by the unit motion of robots and the work measurement through classification of robot motions and standardization. The proposed approach is to scrutinize the Predetermined Time Standards(PTS) methods for measurement of manual tasks performed by people and the basic motions for accomplishing that tasks. And then, it constructs the unit motion models as subsets composed with the basic motions. It apply together with movements distance as a time variable, too. These results are used for the work measurements of robots by the unit motion models.

• Journal of the Korean Data and Information Science Society
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• 제21권2호
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• pp.379-385
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• 2010

This paper considers Bayesian approach to modeling a flexible regression function under functional measurement error model. The regression function is modeled based on semiparametric regression with penalized splines. Model fitting and parameter estimation are carried out in a hierarchical Bayesian framework using Markov chain Monte Carlo methodology. Their performances are compared with those of the estimators under functional measurement error model without semiparametric component.

• 한국철도학회:학술대회논문집
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• 한국철도학회 2003년도 춘계학술대회 논문집
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• pp.403-408
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• 2003

This paper presents measurement to develop load model for electric locomotive. Load model is defined as polynomial form and each coefficient is solved by the least square method. Therefore, many data is required for using this method. The measurement is performed on KNR line, from Chongryangri to Donghae. The subject of measurement is voltage, current, active power, reactive power an frequency for EL8100.

• Computers and Concrete
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• 제28권6호
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• pp.605-619
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• 2021

Building Information Modeling (BIM) models are a powerful tool for preserving and using architectural history. Manually creating information models for such a significant number and variety of architectural monuments as Dong drum towers is challenging. The building logic based on "actual measurement construction" was investigated using the metamodel idea, and a metamodel-based automated modeling approach for the wood framework of Dong drum towers was presented utilizing programmable algorithms. Metamodels of fundamental frame kinds were also constructed. Case studies were used to verify the automated modeling's correctness, completeness, and efficiency using metamodel. The results suggest that, compared to manual modeling, automated modeling using metamodel may enhance the model's integrity and correctness by 5-10% while also reducing time efficiency by 10-20%. Metamodel and construction logic offer a novel way to investigate data-driven autonomous information-based modeling.

• 서비스연구
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• 제13권3호
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• pp.147-159
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• 2023

본 연구는 기존의 서비스디자인 방법론의 소수 데이터를 기반으로 휴리스틱 기반의 연구 한계를 극복하고, 의료서비스의 질적 수준 관리에서 핵심가치로 주목받고 있는 경험데이터의 객관적 측정 및 가공에 관한 모델을 개발하기 위한 연구이다. 이론적 배경에서 의료서비스에서 경험의 중요성, 경험데이터의 측정 및 가공, 환자중심성 실현에 관한 문헌연구를 진행하였다. 이와 같은 문헌 및 이론적 배경 연구결과를 기반으로 다음과 같이 4가지 연구변수에 대하여 조작적 정의하고, 통계적으로 검정을 진행하였다. 가설 H1은 3가지 요인 관점의 경험데이터 측정이 페르소나 모델링에 주는 영향이고, 가설 H2는 페르소나 모델링이 서비스청사진 시각화에 주는 영향, 가설 H3은 서비스청사진 시각화는 환자중심성 실현에 주는 영향, 가설 H4는 페르소나 모델링이 환자중심성의 실현에 주는 영향이다. 요인분석, 신뢰성 분석, 상관분석의 데이터 기초검정 후 회귀분석기법으로 검증한 결과 4가지 가설은 모두 채택되었다. 결론적으로 병원에서 좋은 의료진과 의료장비만을 갖춘다고 해서 그 가치를 인정받기 어려운 시대이기에 환자들에겐 의료진과 의료장비의 효용보다 지속해서 어떠한 의료서비스 경험을 얻고 있는지가 더 중요하다는 의미를 파악할 수 있었다. 서비스 경제의 시대에서 병원서비스 경쟁력의 핵심은 매력적인 경험을 제공하느냐가 병원의 진짜 실력이 되기에 본 연구 주제인 경험데이터의 측정과 가공이 환자중심성의 실현과 스마트병원 구현에 중요한 의미가 있을 것이다.

• 한국지반공학회:학술대회논문집
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• 한국지반공학회 2005년도 춘계 학술발표회 논문집
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• pp.439-444
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• 2005

Shotcrete lining is likely to be deteriorated due to the ground water which the lining is exposed to. Some tunnel collapses seemed to be affected by shotcrete degradation were reported. But there isn't any assessment method of shotcret long-term degradation. So, Experimental technology for shotcrete long-term degradation modeling was developed in this study. The shotcrete long-term degradation modeling, developed in other study in Korea Institute of Construction Technology, require the time-history of volume change. Digital strain observation system was used to acquire the time-history of volume change. To verify the Strain Observation Digital System, the measurement using the system was compared to the one using a micrometer. Through this process, The experiment for shotcrete long-term degradation modeling was set up.

• Ecology and Resilient Infrastructure
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• 제8권2호
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• pp.133-133
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• 2021

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 2010년도 추계학술대회 논문집
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• pp.1017-1018
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• 2010

• Industrial Engineering and Management Systems
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• 제7권1호
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• pp.78-89
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• 2008

The need for holistic modeling efforts for returns that capture the extended closed loop supply chain (CLSC) system at strategic as well as operational level has been clearly recognized by the industry and academia. Strategic decision-makers need comprehensive models that can guide them in efficient decision-making to increase the profitability of the entire forward and return chain. Therefore, determination of a near optimal design configuration, which includes the environmental, economical and technological capability factors, is important in strategic decision-making effort that affect the profitability of the closed loop supply chain. In this paper, we adopted an improved system dynamics methodology to tackle strategic issues that affect various performance measures, like market, time/cost, environment etc., for closed loop supply chains. After studying real life implementation issues in CLSC design, we presented guidelines for the PBM (Participative Business Modeling) methodology and presented its extension for the strategic dynamic system modeling of return chains. Finally, we demonstrated the measurement of operational performance by extending SD (system dynamic) application to closed loop supply chain management.