• Proceedings of the Computational Structural Engineering Institute Conference
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• 2009.04a
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• pp.80-83
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• 2009

최근 국내 산업구조 및 생활환경의 변화로 도시구조의 고도화, 집중화로 인해 특정관리대상건축물이 다양화됨으로써 안전사고 및 재해양상이 점차 다변화 되어 증가되고 있다. 이에 따라 우리나라 정부에서는 관련 법령에 근거하여 지자체 및 재난관리책임기관 등에서 시설물의 안전관리를 수행하고 있다. 1995년 제정된 "시설물의 안전관리에 관한 특별법"에 근거하여 일정 규모 이상의 1종 및 2종 시설물을 대상으로 정기점검, 정밀점검, 정밀안전진단이 관련전문가에 의하여 주기적으로 수행되고 있으며, "재난 및 안전관리 기본법"에 의하여 특정관리대상시설을 지정하여 주기적인 안전점검이 수행되고 있다. 그러나 수작업에 의한 안전관리 업무 수행과 점검 및 진단 결과에 대한 사후 관리로 관계 업무 주체들에게 과다한 업무가 부과되면서도 안전관리가 효율적 효과적으로 이루어지고 있지 못한 상황이다. 또한 관련 업무가 서로 다른 법령 및 기관에 분산되어 업무의 비효율성을 야기하고 있다. 이에 본 연구는 특정관리대상 건축물의 효율적인 안전관리를 위해 안전관리 업무의 정형화, 안전관리 정보의 통합관리 및 현실적인 업무환경을 고려한 안전관리시스템의 개발을 목적으로 수행되었다.

• Journal of the Korea institute for structural maintenance and inspection
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• v.4 no.2
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• pp.175-184
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• 2000

The maintenance of tunnels is often neglected since tunnels has tendency to become stable with time. The determination of safety of tunnels is a complicated problem. So the role of experienced engineer in the maintenance is very important and development of an expert system which can perform as these engineers has been needed. In this study, an expert system which can determine the safety of tunnels is developed. The developed knowledge base contains the maintenance procedure which is used in KlSTEC(Korea Infrastructure Safety & Technology Corporation). Field test, laboratory test and nondestructive test methods are considered in this knowledge base. Criteria for each item and integrated diagnosis criteria are implemented in the expert system based on literatures and reports. The expert system includes basic inspection. detail inspection and precision inspection. For precision inspection. it has the capacity to exchange the result from numerical analysis by a commercial program FLAC. To verify the expert system. the proposed procedure was compared with an existing tunnel diagnosis report.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.3 no.1
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• pp.57-72
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• 2008

Serve and do so that graft together specialists' view application field of computer and developmental disability diagnosis estimation data to construct developmental disability diagnosis estimation system in this Paper and constructed developmental disability diagnosis estimation system. Developmental disability diagnosis estimation must supply information of specification area that specialists are having continuously. Developmental disability diagnosis estimation specialist system need multimedia data processing that is specialized little more for developmental disability classification diagnosis and decision-making and is atomized for this. Characteristic of developmental disability diagnosis estimation system that study in this paper can supply quick feedback about result, and can reduce mistake on recording and calculation as well as can shorten examination's enforcement time, and background of training is efficient system fairly in terms of nonprofessional who is not many can use easily. But, as well as when multimedia information that is essential data of system construction for developmental disability diagnosis estimation is having various kinds attribute and a person must achieve description about all developmental disability diagnosis estimation informations, great amount of work done is accompanied, technology about equal data can become different according to management. Because of these problems, applied search technology of contents base (Content-based) that search connection information by contents of edit target data for developmental disability diagnosis estimation data processing multimedia data processing technical development. In the meantime, typical access way for conversation style data processing to support fast image search, after draw special quality of data by N-dimension vector, store to database regarding this as value of N dimension and used data structure of Tree techniques to use index structure that search relevant data based on this costs. But, these are not coincided correctly in purpose of developmental disability diagnosis estimation because is developed focusing in application field that use data of low dimension such as original space DataBase or geography information system. Therefore, studied save structure and index mechanism of new way that support fast search to search bulky good physician data.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.15 no.5
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• pp.68-74
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• 2001

This paper describes the new algorithm method for detecting abnormal causes within power transformers. Generally, the gas analysis has been proved the most confident method of many transformer diagnostics. The proposed algorithm is adapted to the international codes of IEC, Dornenburg, Gas Pattern including the DEPCO´s gas analysis method for the improvement of diagnostic efficiency. Specially, this algorithm is programmed by the tool of Element Expert developed Neuron DATA Inc. in USA. Also, it was confirmed that the developed algorithm is proved the confidence by the use of real data in fault power transformers.

• Journal of rehabilitation welfare engineering & assistive technology
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• v.9 no.1
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• pp.61-66
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• 2015

Chest X-ray images is the most common and widely used in clinical findings for a wide range of anatomical information about the prognosis of the disease in patients with cardiopulmonary rehabilitation. Many analysis algorithm was developed by a number of studies regarding the region segmentation and image analysis, there are specific differences due to the complexity and diversity of the image. In this paper, a diagnosis support system of the chest X-ray image based on image processing and analysis methods to detect the cardiopulmonary disease. The threshold value and morphological method was applied to segment the pulmonary region in a chest X-ray image. Anatomical measurements and texture analysis was performed on the segmented regions. The effectiveness of the proposed method is shown through experiments and comparison with diagnosis results by clinical experts to show that the proposed method can be used for decision support system.

• Korean Journal of Construction Engineering and Management
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• v.22 no.6
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• pp.15-23
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• 2021

As the construction production system is reorganized as part of the construction industry innovation plan, direct construction is expanding. According to this trend, this study analyzed the impact and problems of the expansion of direct construction through the position of the construction industry and a study of foreign cases. In addition, by diagnosing the impact of the measures to expand direct construction from various aspects, countermeasures were suggested to suitably apply the direct construction mandatory system. Also, for each alternative, effects and problems were evaluated through interviews with experts in policy/administrative and architecture fields. The alternatives for expanding and improving the efficiency of the direct construction mandatory system derived from this study are four items: granting the discretion of the client, differentiation by scale of construction, utilization of construction guarantee system, and introduction of flexible working group leader system. As a result of the expert interview, all of them were evaluated to have a positive impact directly and indirectly on the expansion of direct construction. This study contributes literature to the application of the direct construction mandatory system by examining the current status of direct construction, and suggests a direction for expanding direct construction through deduction of alternatives for applying the direct construction mandatory system and expert evaluation.

• TTA Journal
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• s.168
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• pp.100-103
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• 2016

(주)엠투엠테크는 승강기 산업분야에서 IoT 기반 스마트 디바이스를 개발 중인 스타트업 기업이다. 특히, 윈격진단, 포렌식 기능 등 확장된 관제서비스가 가능한 스마트 디바이스 개발에 주력하고 있다. 하나의 디바이스가 다양한 제조사의 승강기에 적용되려면 승강기의 주요 부품, 디바이스, 관제 센터 간의 표준화된 통신 체계가 필요하며, 기존 승강기의 안전을 담보할 수 있는 시스템 유지 관리 체계가 구축되어야 한다. 미래에는 전체 스마트 디바이스로의 연결을 더욱 확대하여 궁극적으로 스마트 빌딩, 도시로의 적용 역시 가능하게 할 단계적 진화 모델의 고려가 필요한 것도 물론이다. (주)엠투엠테크가 TIA의 중소 중견기업을 위만 표준 자문서비스를 신정만 것은 이 때문이었다. (주)엠투엠테크는 TTA 표준 자문전문가들과 함께 국제 표준을 기반으로 한 IoT 프로토콜을 적용해 제품을 업그레이드할 수 있는 시스템 아키텍처를 설계할 수 있었다.

• Journal of the Korean Society for Nondestructive Testing
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• v.14 no.3
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• pp.194-205
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• 1994

이종재료 접합재의 연구개발(R&D)이나 품질보증(QA)분야에서 최적 접합조건의 신속한 결정과 사용중 접합재의 접합강도에 결정적으로 영향을 미치는 접합계면의 박리 미접합부등의 비파괴진단 평가기법에 적극 활용되고 있는 초음파비파괴평가(UNDE)기법의 주된 특징과 적용한계, 향후 연구되어야할 과제등을 최근의 특징적인 연구경향과 적용예를 중심으로 소개하고자 한다. 본고(本稿)에서 기술하는 초음파비파괴평가기법은 부분적으로는 기술의 안정화단계에 까지 상당히 접근하여, 현재 국내 반도체산업의 품질보증분야에서는 접합재료 접합계면의 비파괴적해석에 그 유용성이 어느정도 확인되고 있으나 정량적비파괴평가(QNDE)와 검사시스템의 꽃이라 불리는 전문가시스템화에의 접근에는 아직 해결되어야할 문제가 많다. 따라서, 저자들은 앞으로 접합재료 접합계면의 비파괴적해석에 관련한 연구사례와 결과를 정량적비파괴평가의 중요성과 방향성에 초점을 두고 본학회지를 통하여 계속 연재할 계획이다.

• Proceedings of the KIEE Conference
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• 2000.07a
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• pp.125-127
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• 2000

Multiple faults are hard to diagnose correctly because the operation of circuit breakers tripped by former fault changes the topology of power systems. The information including operating time of actuated relays and tripped circuit breakers is used for considering changes of the network topology in fault section diagnosis. This paper presents a method for fault section diagnosis using a set of matrices which represent changes of the network topology due to operation of circuit breakers. The proposed method uses fuzzy relation to cope with the unavoidable uncertainties imposed on fault section diagnosis of power systems. The inference executed by the proposed matrices provides the fault section candidates in the form of a matrix made up of the degree of membership. Experimental studies for real power systems reveal usefulness of the proposed technique to diagnose multiple faults.

• Journal of the Korean Institute of Telematics and Electronics B
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• v.31B no.10
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• pp.53-66
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• 1994

In this paper, a fuzzy expert system is developed for fault diagnoisis of a drum-type boiler system in fossil power plants. The develped fuzzy espert system is composed of knowledge base, fuzzification module, knowledge base process module, knowledge base management module, inference module, and linguistic approximation module. The main objective of the fuzzy expert system is to check the states of the system including the drum level and detect faults such as the feedwater flow sensor fault, feedwater flow control valve fault, and water wall bube rupture. The fuzzy expert system diagnoses faults using process values, manipulated values, and knowledge base which is built via interviews and questionaries with the experts on the plant operations. Finally, the validity of the developed fuzzy expert system is shown via experiments using the digital simulator for boiler system is Seoul Power Plant Unit 4.