• Steel and Composite Structures
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• 제29권1호
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• pp.139-149
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• 2018

In this paper a new multi-step damage detection approach is provided. In the first step, condensed modal residual vector based indicator (CMRVBI) has been proposed to locate the suspected damaged elements of structures that have rotational degrees of freedom (DOFs). The CMRVBI is a new indicator that uses only translational DOFs of the structures to localize damaged elements. In the next step, salp swarm algorithm is applied to quantify damage severity of the suspected damaged elements. In order to assess the performance of the proposed approach, a numerical example including a three-layer square laminated composite plate is studied. The numerical results demonstrated that the proposed CMRVBI is effective for locating damage, regardless of the effect of noise. The efficiency of proposed approach is also compared during both steps. The results demonstrate that in noisy condition, the damage identification approach is capable for the studied structure.

• 보건행정학회지
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• 제13권2호
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• pp.44-66
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• 2003

I. Background and Purpose Health Indicator system and measurement of health status are an important fields in national health fields. This study reviewed the overall concepts of health and health indicators, health indicator system. The purposes of this study are to build the conceptual health framework, and suggest a health indicator system, in order to correspond to the situation of national health and the demand of International organizations. II. Scope and Contents The scope of this study ; - Review of tile conceptual health framework, health indicators, and health Indicator system - Selection and development of tile new individual health indicators - Suggestion of tile revised health indicator system III. Results of Study This study intented to build the conceptual and framework of national health and provide the measurement tools of health status. This study developed the health indicator system through the conceptual and hierarchial approach to national health. The health indicator system contains 6 concern: areas and each sub-areas. The major concern areas are health state and behavior, deathㆍdiseaseㆍdisability, health care utilization, health resources, health expenditure and finance, other affecting factors on health. This health indicator system is corresponding to the situation of health status patterns and the demand of international organizations. And this health indicator system is considering the present health data production system and the availability of health data.

• 한국조명전기설비학회:학술대회논문집
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• 한국조명전기설비학회 1998년도 학술발표회논문집
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• pp.177-180
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• 1998

To manage lead-acid battery efficiently and to use it longer in UPS, the state of charge(SOC) indicator of the battery is needed. So a new approach to developing battery SOC indicator for UPS is discussed in this paper. This method to determining SOC by combining the available data of discharge characteristics of a battery with neural networks(NN) is presented. The 3-layered NN with back propagation algorithm has been used. Exprement results show that the proposed method is appropriate as SOC indicator of the battery.

• 한국조사연구학회지:조사연구
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• 제10권1호
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• pp.113-139
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• 2009

건설경기의 순환적 현상을 분석하기 위해서는 연간조사 통계자료의 속성까지 포함된 월별 벤치마킹 건설지표를 사용하는 것이 바람직할 것이다. 왜냐하면 벤치마킹된 지표는 정확성, 일치성, 비교성, 완전성 등의 측면에서 통계품질이 향상된 것으로 기대되기 때문이다. 이 논문에서는 보다 정확한 것으로 간주되는 연간 단위의 통계자료와 단기변동 특성을 보유한 월간 속보지표를 활용하여 월별 건설지표를 추정하는 벤치마킹 방법들을 연구하였다. 벤치마킹이란 연간통계와 월간통계의 일치성을 보장하면서 두 통계의 단기적 및 순환적 현상과 장기추세를 모두 보유하도록 월간통계를 조정하는 방법이다. 벤치마킹 기법으로는 수치조정 접근방법인 비례배분법, 비례덴톤법, BFL BI 비율법, HP - filter BI 비율법과 모형기반 접근방법인 Chow & Lin 방법, $Fem{\acute{a}}ndez$ 방법을 고려하였다. 또한 실제 통계자료를 가지고 벤치마킹된 건설지표를 추정하였으며, 이러한 벤치마킹 방법들을 실증적으로 비교 평가하였다. 계절적 변동 및 불규칙 변동이 심한 건설지표의 경우에 모형기반 접근방법보다는 수치조정 접근방법이 보다 우수한 것으로 평가되었다. 수치조정 접근방법으로는 가장 널리 쓰이고 있는 비례덴톤법이 무난하지만, 연간통계의 조사오차 또는 측정오차를 감안하면 HP - filter BI 비율법도 고려해 볼 수 있을 것이다.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2002년도 Proceedings of International Symposium on Remote Sensing
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• pp.382-387
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• 2002

In this paper, we propose a geostatistical approach incorporated to the Bayesian data fusion technique for supervised classification of multi-sensor remote sensing data. Traditional spectral based classification cannot account for the spatial information and may result in unrealistic classification results. To obtain accurate spatial/contextual information, the indicator kriging that allows one to estimate the probability of occurrence of classes on the basis of surrounding observations is incorporated into the Bayesian framework. This approach has its merit incorporating both the spectral information and spatial information and improves the confidence level in the final data fusion task. To illustrate the proposed scheme, supervised classification of multi-sensor test remote sensing data set was carried out.

• 한국지구물리탐사학회:학술대회논문집
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• 한국지구물리탐사학회 2003년도 Proceedings of the international symposium on the fusion technology
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• pp.340-343
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• 2003

This study presents a practical procedure for the Bayesian inversion of geophysical data by Markov chain Monte Carlo (MCMC) sampling and geostatistics. We have applied geostatistical techniques for the acquisition of prior model information, and then the MCMC method was adopted to infer the characteristics of the marginal distributions of model parameters. For the Bayesian inversion of dipole-dipole array resistivity data, we have used the indicator kriging and simulation techniques to generate cumulative density functions from Schlumberger array resistivity data and well logging data, and obtained prior information by cokriging and simulations from covariogram models. The indicator approach makes it possible to incorporate non-parametric information into the probabilistic density function. We have also adopted the MCMC approach, based on Gibbs sampling, to examine the characteristics of a posteriori probability density function and the marginal distribution of each parameter. This approach provides an effective way to treat Bayesian inversion of geophysical data and reduce the non-uniqueness by incorporating various prior information.

• 한국항만경제학회지
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• 제18권1호
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• pp.85-106
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• 2002

Across many industries, benchmarking is considered useful method to improve their service quality and achieve competitive advantage. Benchmarking, especially, has emerged as an increasingly important approach to improving the performance of logistics system and enables successful logistics services and doing good business in logistics services. There are no, however, literature approach for the relationship between benchmarking and port. It is the highest worth researching the application of benchmarking method on the port, since port is the most important component in supply Chain. Therefore, this paper tries to demonstrate the application of the benchmarking method on the port. To do this study, the literature approach developed by several researchers for logistics benchmarking is used as the basic framework. In addition, the following studies are executed: First, the survey of previous studies on logistics benchmarking. Second, finding the indicator and selecting the target in the port benchmarking. Third, the systematic execution schemes of the port benchmarking. Finally, based on the above studies, this paper provides a background for discussions on the future prospects for the application of the benchmarking method on the port.

• Smart Structures and Systems
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• 제6권9호
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• pp.991-1005
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• 2010

The key to detecting damage to civil engineering structures is to find an effective damage indicator. The damage indicator should promptly reveal the location of the damage and accurately identify the state of the structure. We propose to use the distance measures of low-order AR models as a novel damage indicator. The AR model has been applied to parameterize dynamical responses, typically the acceleration response. The premise of this approach is that the distance between the models, fitting the dynamical responses from damaged and undamaged structures, may be correlated with the information about the damage, including its location and severity. Distance measures have been widely used in speech recognition. However, they have rarely been applied to civil engineering structures. This research attempts to improve on the distance measures that have been studied so far. The effect of varying the data length, number of parameters, and other factors was carefully studied.

• 융합정보논문지
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• 제10권3호
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• pp.48-57
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• 2020

본 연구는 정부에서 수여하는 국가 상(償)에 도전하는 혁신선도기업을 평가 및 선정하기 위한 정성지표개발에 초점을 맞추고 있다. 혁신선도기업을 지나치게 계량적으로 평가함에 따라 제품이나 기술, 서비스 등의 혁신성이나 가치 등이 평가가 절하되는 측면을 보완하는 것이 본 연구의 목적이기도 하다. 기존의 국가상 평가지표는 장점도 있지만 평가 항목이 너무 많아 혁신선도기업의 평가에는 적합하지 않은 측면이 있었다. 연구의 접근방법은 선행연구와 TF토의를 바탕으로 정성지표개발을 위한 항목을 선정하는 것으로 하였다. 기본적으로 투입-과정-산출-효과로 이어지는 일련의 흐름으로 지표항목의 체계를 갖추도록 하였다. 최종적으로 창의성, 시스템우수성, 고객가치, 기업성과, 파급효과 등의 5개 정성 지표항목이 선정되었다. 선정된 5개 지표항목에 대해서는 개념적 정의와 평가시 주안점 등을 서술하였다. 그리고 시스템 수준평가와 ADLI 접근방식도 제시하였다. 부록에는 본 연구에서 제시한 정성지표를 활용하여 실제기업을 정성적, 정량적 양식에 따라 평가한 사례도 수록하였다. 그러나 본 연구는 혁신선도기업을 정성적인 접근방식으로 평가하는 것으로 설계되어 있어, 평가자의 수준과 관점에 따라 평가결과가 변동되는 가능성을 갖는 한계점이 내포하고 있다. 향후에는 정성지표로 활용될 수 있는 후보지표들에 대한 세부연구와 혼합지표(정량, 정성)의 개발에 대한 연구가 지속되기를 기대한다.

• 대한설비공학회:학술대회논문집
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• 대한설비공학회 2009년도 하계학술발표대회 논문집
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• pp.102-107
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• 2009

Window system is an essential component for lighting, ventilation and thermal environment in buildings. Moreover, as balcony extension in apartment houses become legalized, the performance requirements of window systems in balcony space are getting complicated. However, at this moment, five properties of the windows are used to represent the performance aspects of the system, including wind resistance, air tightness, water tightness, sound insulation, thermal resistance. And such single properties are not capable to express the performance of a space with the window systems in terms of performance concept. A performance analysis with wholistic approach is required to see the effect of the window system in built environment. Thus, performance-based approach should be established, which will be able to evaluate the goal/function and comfort of occupants/owners. As the first step to develop the performance indicator for the window systme for balcony space, this study conducts a survey to find the required performance aspects. A complete set of performance-based indicators will be developed with verification methods in the later stage of research.