• Journal of Construction Engineering and Project Management
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• 제2권2호
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• pp.1-17
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• 2012

The automated construction machines have been recently developed to help solve the construction industry problems that significantly affect labour, productivity, quality, and profit. Despite the importance of performance analysis to commercialize the automated construction machines, previous studies have mainly concentrated on developing hardware and software of automated construction machines. This research now focuses on two objectives: (1) to propose an analysis model which can measure productivity, quality, and safety improvement rate of automated construction machines based on research and development (R&D); and (2) to develop a performance analysis system which will aid the evaluator in analysing the performance of automated construction machines. Finally, it is anticipated that the effective use of the performance analysis model and computerized system will ably develop the high-performance, automated construction machines and establish the marketing strategy to increase not only the commercial value but also the upkeep and development of construction machines.

• 전기학회논문지
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• 제63권9호
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• pp.1171-1179
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• 2014

ISO(Independent System Operator) or TSO(Transmission System Operator) use power system analysis program to simulate contingency analysis and remedial actions to operate power system stably. Generally, power system analysis program provides automated analysis functions(or modules) to deal with wide area power system. However, because of missed contingency cases, automated contingency analysis has no practical use or has limitation. And in case of remedial action, it doesn't support automated function or takes a lot of times to study, because of simulation in manual for each cases. This paper suggests that new relation with buses and transmission line properties of power system DB used for power system analysis program to simulate automated contingency including all contingency cases needed in the field without missed cases. And it proposes automated remedial action scheme based on practical approach analysis to alleviate overloading or voltage problems. Finally it deals with automated contingency/remedial action analysis(automated scheduled outage) program which is developed by KEPCO and its performance and proposed schemes are proven by case study for real Korean power system data.

• 산업공학
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• 제18권4호
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• pp.431-443
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• 2005

This paper describes a web-based system called DESIGNER for the analysis and design for automated material handling equipment(MHE) applications in manufacturing. DESIGNER models the processes for system integration, economic analysis, performance analysis, and automated storage/retrieval system(AS/RS) design. Based on the information specified by users, the various analysis modules are invoked to meet the needs of the material handling applications. The results of the analyses provide system users with useful data for material handling system design and decision on investment in automated MHE. Example problems are also presented to demonstrate the use of the system.

• 한국ITS학회 논문지
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• 제22권5호
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• pp.182-199
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• 2023

정부는 2021년부터 다부처 연구개발사업으로 자율주행기술개발혁신사업을 추진해오고 있다. 해당 연구개발사업에서 개발되는 자율주행차와 서비스 기술은 추후 선정된 리빙랩 도시를 대상으로 일반인들에게 제공한다는 계획이다. 특히 서비스분야는 해당 서비스별 목적과 특성에 따라 안전하고 안정적인 서비스가 가능한 공간적 범위와 운행구간을 선정하는 것이 중요하다. 본 연구에서는 향후 Level 4 수준의 자율주행서비스 제공 구역 설정 방법론을 개발하기 위한 기초 연구로서 기존 공개된 논문 및 관련 문헌조사를 통해 Level 4 수준의 자율주행서비스를 위한 정적인 ODD 구성요소를 재분류하고, 자율주행의 안전성에 미치는 공간적인 영향 요인에 대하여 Level 3 자율주행차 실제 주행데이터 및 공간정보분석 기법을 활용하여 분석하였다. 공간정보분석 기법을 통해 총 6개의 주행모드변경(제어권전환) 다발 지점이 도출되었고, 해당 지점의 중복된 정적인 ODD 구성요소 확인 결과 자율주행의 안전성에 영향을 미치는 요인은 횡단보도, 신호등, 교차로, 자전거 도로, 포켓차로, 주의 표지판, 중앙분리대로 나타났다. 이러한 공간정보분석을 통한 자율주행의 공간적 요인분석은 자율주행기술개발혁신사업의 리빙랩 도시뿐만 아니라 현재 확대·운영되고 있는 자율주행차 시범운행지구에서 자율주행서비스 운영지구 선정에도 기초연구로 활용될 것으로 기대한다.

• 동의생리병리학회지
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• 제30권3호
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• pp.184-189
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• 2016

Human appearance analysis is an important part of both eastern and western medicine fields, such as Sasang constitutional medicine, rehabilitation medicine, dental medicine, and etc. By the rapid growing of depth camera technology, 3D measuring becomes popular in many applications including medical area. In this study, the possibility of using depth cameras in asymmetry analysis of human appearance is examined. We introduce the development of 3D measurement system using 2 Microsoft Kinect depth cameras and fully automated asymmetry analysis algorithms based on computer vision technology. We compare the proposed automated method to the manual method, which is usually used in asymmetry analysis. As a measure of repeatability, standard deviations of asymmetry indices are examined by 10 times repeated experiments. Experimental results show that the standard deviation of the automated method (1.00mm for face, 1.22mm for body) is better than that of the manual method (2.06mm for face, 3.44mm for body) for the same 3D measurement. We conclude that the automated method using depth cameras can be successfully applicable to practical asymmetry analysis and contribute to reliable human appearance analysis.

• 한국건설관리학회논문집
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• 제9권2호
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• pp.67-80
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• 2008

국내의 경우 2000년 이후부터 건설교통부의 지원 하에 건축/토목/메카트로닉스 전문가 집단을 중심으로 경쟁력 있는 건설자동화 기계들이 개발되어 현장에 시험 적용되어 왔다. 개발완료된 자동화 기계의 성능을 분석하여 재래식 방식과 비교한 자동화 방식의 효율성을 제시하기 위한 연구가 수행되었으나 자동화 기계 연구개발 과정에서 요구되는 성능 분석을 체계적으로 수행하지 못하였다. 또한 자동화 기계 개발의 중요한 목적의 일부인 안전성 및 품질 향상 정도에 대해서 정성적으로만 기술함으로써 자동화 기계 개발의 종합적 가치 분석이 수행되지 못한 점은 문제점으로 지적되어 왔다. 따라서 본 연구에서는 자동화 기계 연구개발 단계를 타당성 분석 단계/제작 단계/실용화 및 마케팅 단계로 구분하고 각 단계에서 요구되는 건설자동화 기계의 성능 분석을 효율적으로 수행할 수 있도록 성능 분석 절차 및 방법론의 제시를 통해 건설자동화 기계의 종합적 성능 분석 모델 및 시스템을 개발하였다. 본 연구를 통해 제안된 성능 분석 모델 및 시스템의 활용을 통해 건설자동화 기계 개발 타당성 분석 및 현장의 요구사항을 만족시키는 우수한 성능을 지닌 자동화 기계를 개발할 수 있으며, 개발된 자동화 기계의 마케팅 전략을 효과적으로 수립할 수 있도록 함으로써 건설자동화 기계의 확대 보급 및 실용화에 기여할 수 있을 것으로 기대된다.

• 비파괴검사학회지
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• 제33권6호
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• pp.519-523
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• 2013

A steam generator (SG) tube is an important component of a nuclear power plant (NPP). It works as a pressure boundary between the primary and secondary systems. The integrity of a SG tube can be assessed by an eddy current test every outage. The eddy current technique(adopting a bobbin probe) is currently the main technique used to assess the integrity of the tubing of a steam generator. An eddy current signal analyst for steam generator tubes continuously analyzes data over a given period of time. However, there are possibilities that the analyst conducting the test may get tired and cause mistakes, such as: missing indications or not being able to separate a true defect signal from one that is more complicated. This error could lead to confusion and an improper interpretation of the signal analysis. In order to avoid these possibilities, many countries of opted for automated analyses. Axial ODSCC (outside diameter stress corrosion cracking) defects on the tubes of OPR1000 steam generators have been found on the tube that are in contract with tube support plates. In this study, automated analysis software called CDS (computer data screening) made by Zetec was used. This paper will discuss the results of introducing an automated analysis system for an axial ODSCC on the tubes of an OPR1000 steam generator.

• 한국지진공학회논문집
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• 제23권1호
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• pp.83-88
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• 2019

Structural analysis remains as an essential part of any integrated civil engineering system in today's rapidly changing computing environment. Even with enormous advancements in capabilities of computers and mobile tools, enhancing computational efficiency of algorithms is necessary to meet the changing demands for quick real time response systems. The finite element method is still the most widely used method of computational structural analysis; a robust, reliable and automated finite element structural analysis module is essential in a modern integrated structural engineering system. To be a part of an automated finite element structural analysis, an efficient adaptive mesh generation scheme based on R-H refinement for the mesh and error estimates from representative strain values at Gauss points is described. A coefficient that depends on the shape of element is used to correct overly distorted elements. Two simple case studies show the validity and computational efficiency. The scheme is appropriate for nonlinear and dynamic problems in earthquake engineering which generally require a huge number of iterative computations.

• Communications for Statistical Applications and Methods
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• 제22권1호
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• pp.55-67
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• 2015

An important problem in cluster analysis is the selection of variables that define cluster structure that also eliminate noisy variables that mask cluster structure; in addition, outlier detection is a fundamental task for cluster analysis. Here we provide an automated K-means clustering process combined with variable selection and outlier identification. The Automated K-means clustering procedure consists of three processes: (i) automatically calculating the cluster number and initial cluster center whenever a new variable is added, (ii) identifying outliers for each cluster depending on used variables, (iii) selecting variables defining cluster structure in a forward manner. To select variables, we applied VS-KM (variable-selection heuristic for K-means clustering) procedure (Brusco and Cradit, 2001). To identify outliers, we used a hybrid approach combining a clustering based approach and distance based approach. Simulation results indicate that the proposed automated K-means clustering procedure is effective to select variables and identify outliers. The implemented R program can be obtained at http://www.knou.ac.kr/~sskim/SVOKmeans.r.

• 한국건축시공학회지
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• 제15권3호
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• pp.339-349
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• 2015

A large-scale research project to develop a robot-based automated building construction system for steel structures was successfully conducted in South Korea. This paper discusses the results of the real-scale test and the key lessons gained from the testing process. The system was assessed in terms of system productivity, construction cost, quality control, and safety improvements. While the productivity of the automated system showed an improvement of about 9.5%, the construction cost was about six times higher than that of the conventional method. The field test also indicated that the automated system requires more on-site quality control measures. However, because the system can eliminate the causes of various safety accidents, safety levels might be expected to be improved significantly. It is expected that this paper will provide knowledge and insight for developing new systems, and the results of the real-scale test might be useful for other researchers and similar research projects in the future.