• 가정과삶의질연구
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• 제16권2호
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• pp.107-122
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• 1998

It has been suggested that equity theory a social psychological theory concerned with the fairness in casual relationships should be applicable to marital relationships. This study describes the development of the scale for measuring perception of equity which measure the level of equity in marital relationships among Korean couples. PES(Perception of Equity Scale) is composed of two subscales; detailed measure of equity(DME) and global measure of equity(GME). The PES which include items from two areas of concern for intimates-pschological-emotional concern day-to-day concern-are describes. As results of test reliability of areas of DME range from .86 to .88 and reliability of GME is .92. And there are primarily evidences of construct validity of PES. Therefore PES is very reasonable scale to measure of equity/inequity perception in married couples. Finally analyzing of the level of equity in this sample husbands and wives has generally equitable relationships with their partn rs. Another findings suggest that husbands are overbenefited of their patners through marriage whereas wives are not.

• 해양환경안전학회지
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• 제16권4호
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• pp.421-425
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• 2010

최근 지구온난화로 인한 수온상승과 해수면의 상승으로 인해 해양 생태계가 변화되고 있다고 보고되고 있다. 한반도 주변 해역에서도 수온과 해수면이 상승하고 플랑크톤의 종 조성이 변화되고 가시파래, 불가사리, 해파리 등의 유해 생물종의 출현 빈도가 증가되고 있고, 바다 사막화가 증가되는 등 해양 생태계의 변화로 어업활동이 어려워지고 어업생산량이 감소하여 어민 경제가 심각한 영향을 받고 있다. 본 보고서에서는 지구 온난화의 원인과 그 메커니즘을 소개하고, 지구 온난화에 따른 해양환경 변화와 해양 생태계에 미치는 영향과 그 대책에 관하여 보고하고자 하였다.

• 대한전자공학회논문지SP
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• 제38권2호
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• pp.160-168
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• 2001

목표물의 위치 정보를 알아내고 그것을 추적하기 위한 대표적인 방법 중의 하나로 차영상을 이용한 움직임 영역 검출 기법이 지금까지 많이 사용되어 왔다. 이 방법은 배경이 고정되어 있는 상황이라는 가정이 필요하며, 카메라가 움직이는 경우에는 전역 움직임 보상 기법이 반드시 필요하게 된다. 따라서 본 논문에서는 카메라가 움직이는 경우에도 차영상 정보를 이용하여 실제 이동하는 목표물을 포함하는 최소 사각형을 정확하게 찾는 방법을 제안한다. 전역 움직임 보상을 위해서 움직임 계수를 구할 때, 오류 벡터로 인해서 전역 움직임 계수를 잘못 추정하게 되면 이동 목표물의 검출에 실패하는 결과를 낳는다. 이러한 문제점으로 인하여 여기에서는 배경 영상의 신뢰성 있는 움직임 벡터를 선별하여 보다 정확한 전역 보상이 이루어지는 알고리즘을 제안하여, 결과적으로 정확한 이동 목표물의 위치를 얻는 방법에 대해서 기술하고 있다. 제안된 기법으로 다양한 영상에 적용한 결과, 배경을 효과적으로 제거하고 목표물의 위치를 대체로 정확하게 찾을 수 있다는 것을 보여 주었다. 특히 움직이는 카메라에서 얻은 영상에 대해서는 기존의 방법보다 매우 우수한 결과를 얻는다는 것을 확인할 수 있었다.

• Journal of Communications and Networks
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• 제13권6호
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• pp.591-601
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• 2011

Today's Internet which provides communication channels with best-effort end-to-end performance is rapidly evolving into an autonomic global computing platform. Achieving autonomicity in the Future Internet will require a performance architecture that (a) allows users to request and own 'slices' of geographically-distributed host and network resources, (b) measures and monitors end-to-end host and network status, (c) enables analysis of the measurements within expert systems, and (d) provides performance intelligence in a timely manner for application adaptations to improve performance and scalability. We describe the requirements and design of one such "Future Internet performance architecture" (FIPA), and present our reference implementation of FIPA called 'OnTimeMeasure.' OnTimeMeasure comprises of several measurement-related services that can interact with each other and with existing measurement frameworks to enable performance intelligence. We also explain our OnTimeMeasure deployment in the global environment for network innovations (GENI) infrastructure collaborative research initiative to build a sliceable Future Internet. Further, we present an applicationad-aptation case study in GENI that uses OnTimeMeasure-enabled performance intelligence in the context of dynamic resource allocation within thin-client based virtual desktop clouds. We show how a virtual desktop cloud provider in the Future Internet can use the performance intelligence to increase cloud scalability, while simultaneously delivering satisfactory user quality-of-experience.

• 한국건축시공학회:학술대회논문집
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• 한국건축시공학회 2023년도 봄 학술논문 발표대회
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• pp.343-344
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• 2023

In order to expand its entry into not only the domestic construction market but also overseas global markets, it is necessary to secure technological competitiveness, and as a fundamental measure, it is necessary to increase the proportion of R&D investment and establish and revitalize R&D organizations. Therefore, the purpose of this study is to analyze construction sales and construction R&D investment for global construction companies in Korea and Japan, derive implications, and provide basic data for government policy establishment and global construction company strategy establishment. As a result of analyzing R&D investments in construction companies in Korea and Japan, it can be seen that Japanese construction companies have higher R&D investment costs compared to sales compared to Korea. In particular, the proportion of R&D investment continues to increase year-on-year, strengthening global competitiveness due to technology development. In addition, Japanese construction companies have established a technology research institute to discover and conduct future R&D research such as advanced IT, disaster prevention, and environment.

• Smart Structures and Systems
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• 제32권4호
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• pp.235-251
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• 2023

A method that can estimate global deformation and internal forces using a limited amount of displacement data and based on the shape superposition technique and a neural network has been recently developed. However, it is difficult to directly measure sufficient displacement data owing to the limitations of conventional displacement meters and the high cost of global navigation satellite systems (GNSS). Therefore, in this study, the previously developed estimation method was extended by combining displacement, slope, and strain to improve the estimation accuracy while reducing the need for high-cost GNSS. To validate the proposed model, the global deformation and internal forces of a cable-stayed bridge were estimated using limited multi-response data. The effect of multi-response data was analyzed, and the estimation performance of the extended method was verified by comparing its results with those of previous methods using a numerical model. The comparison results reveal that the extended method has better performance when estimating global responses than previous methods.

• 대한기계학회논문집A
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• 제24권1호
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• pp.240-249
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• 2000

An improved global optimization algorithm is developed by extending the domain elimination method. The concept of triangular patch consists of two or more trajectories of local minimizations is introduced to widen the attraction region of the domain elimination method. Using the an-]c between each of three vertices of the patch and a design point, we measure the proximity, between the design point and the patch. With the Gram-Schimidt orthonormalization, this method can be extended to general n-dimensional problems. We code the original domain elimination algorithm and a patch-based algorithm. Then we compare the performance of two algorithms. Through the well-known example problems. the algorithm using patch is shown to be superior to the original domain elimination algorithm in view of computational efficiency.

• 한국정보시스템학회지:정보시스템연구
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• 제29권3호
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• pp.159-178
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• 2020

Purpose The purpose of this study is to demonstrate the relationship between ICT(Information & communication technology) infrastructure, investment environment, and innovation performance from a national perspective. Design/methodology/approach We derived 5 hypotheses based on the literature review. To measure each concept, We converted the scores of each country provided by the Global Innovation Index into a 7 Likert scale and performed a regression analysis. Findings According to the empirical analysis result, this study confirmed that knowledge and technology output mediated the relationship between ICT infrastructure and creative goods and services. In addition, this study confirmed that the investment environment has a moderating effect between ICT infrastructure and knowledge and technology output.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2005년도 춘계학술발표대회
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• pp.443-446
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• 2005

본 논문에서는 패턴 분류문제에서 특징의 분포와 빈도를 고려하는 FMM(Fuzzy Min-Max) 신경망 구조와 이를 이용한 특징 분석 기법을 소개한다. 이는 기존의 모델에서 균일한 가중치를 고려했을때 비정상적 학습데이터에 학습 효과가 민감하게 왜곡되는 현상을 방지한다. 또한 학습된 신경망으로부터 각 특징의 중요도를 분석할 수 있게 한다. 본 연구에서는 제안된 모델의 특성을 소개하고 특징 값과 하이퍼박스 간의 관계로부터 특징의 연관도 요소, 중요도 평가 및 특징의 서열화 기법을 제시한다. 이는 패턴 분류 신경망의 노드수를 최적화 함으로써 학습 및 분류 과정에서 연산의 효율성을 증대시킨다.

• Journal of Mechanical Science and Technology
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• 제20권8호
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• pp.1169-1182
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• 2006

Robust design technology has been applied to versatile engineering problems to ensure consistency in product performance. Since 1980s, the concept of robust design has been introduced to numerical optimization field, which is called the robust optimization. The robustness in the robust optimization is determined by a measure of insensitiveness with respect to the variation of a response. However, there are significant difficulties associated with the calculation of variations represented as its mean and variance. To overcome the current limitation, this research presents an implementation of the approximate statistical moment method based on kriging metamodel. Two sampling methods are simultaneously utilized to obtain the sequential surrogate model of a response. The statistics such as mean and variance are obtained based on the reliable kriging model and the second-order statistical approximation method. Then, the simulated annealing algorithm of global optimization methods is adopted to find the global robust optimum. The mathematical problem and the two-bar design problem are investigated to show the validity of the proposed method.