• International journal of advanced smart convergence
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• 제11권2호
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• pp.22-29
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• 2022

In this paper, for the purpose of designing an real-time unmanned monitoring system, the YOLOv5s (small) object detection model was applied on the NVIDIA TX2^TM AI (Artificial Intelligence) edge computing platform in order to design the fundamental function of an unmanned monitoring system that can detect objects in real time. YOLOv5s was applied to the our real-time unmanned monitoring system based on the performance evaluation of object detection algorithms (for example, R-CNN, SSD, RetinaNet, and YOLOv5). In addition, the performance of the four YOLOv5 models (small, medium, large, and xlarge) was compared and evaluated. Furthermore, based on these results, the YOLOv5s model suitable for the design purpose of this paper was ported to the NVIDIA TX2^TM AI edge computing system and it was confirmed that it operates normally. The real-time unmanned monitoring system designed as a result of the research can be applied to various application fields such as an security or monitoring system. Future research is to apply NMS (Non-Maximum Suppression) modification, model reconstruction, and parallel processing programming techniques using CUDA (Compute Unified Device Architecture) for the improvement of object detection speed and performance.

• 해양환경안전학회지
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• 제26권5호
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• pp.474-482
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• 2020

안전한 해양플랜트 운용을 위해 장비 성능평가를 실시하고 그 결과를 모니터링 할 수 있는 시스템이 필요하다. 현재는 육상으로부터 멀리 떨어진 해양플랜트의 특성상 장비 성능평가를 위해 정기적으로 계측 데이터를 저장매체에 저장한 후 육상으로 운반해야한다. 이로인해 성능평가 주기가 길어지고, 다음 성능평가가 시행되기 전까지의 장비의 성능 저하 정도를 알 수 없어 장비의 고장을 방지하기 어렵다. 따라서 육상이 아닌 해양플랜트 내에 온보드(on-board) 형태의 장비 성능 모니터링 시스템을 구축할 필요가 있다. 본 논문에서는 해양플랜트 내에서 장비 성능을 평가하고 그 결과를 가시화하는 장비 성능 모니터링 시스템을 개발하기 위한 초기 단계로, 장비 성능 모니터링 시스템의 데이터베이스를 설계 및 구축하고자 한다. 이를 위해 주요 장비의 태그 데이터를 선정하여 분석을 진행하였다. 최종적으로 장비 상태를 실시간으로 계측한 데이터를 해양플랜트 내에서 저장 및 관리하기 위해 온보드 형태의 장비 성능 모니터링 시스템을 위한 데이터베이스를 설계 및 구축 하였다.

• 한국방재안전학회논문집
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• 제6권2호
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• pp.31-39
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• 2013

서울시는 2013.1월부터 6월까지 서울거리모니터링 활동에 대한 실태조사를 실시하였다. 조사결과에 따르면 거리모니터링 활동은 2013년 서울시 균형성과 지표의 달성목표인 5,000건을 이미 달성하였다. 서울시 전체 9,722건(6월말기준)을 신고하여 2012년 1,151건에 비해 대폭 증가하였지만 지역 연령 직업 성별 편차가 심하고 전체인력의 2.2%에 불과한 우수활동자 14명이 6,546건을 신고하여 총 신고실적의 67.3%에 달하는 높은 의존도를 나타냈다. 거리모니터링활동은 윌리엄 하인리히의 "1:29:300의 법칙"에 의거하여 사망자 28명, 중경상자 816명과 잠재적 부상자 8,443명을 감소시켜 총 9,287명에 달하는 서울시민의 생명을 존중하고 보호하였다고 할 수 있다. 또한 강동구사례를 중점 분석하여 모니터링활동의 명확한 목표 재설정과 달성여부를 추정하였으며, 목표달성을 위한 모니터링 전문가제도, 모니터 증원, 차등평가 포상제도, 종합평가방법을 제시하였다.

• 한국철도학회:학술대회논문집
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• 한국철도학회 2011년도 춘계학술대회 논문집
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• pp.717-724
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• 2011

In order to commercialize the track systems including the turnouts developed in Korea, the guideline of technical and systematic performance evaluation considering local environment was established on Aug. 2010. It consists of a technical compatibility, laboratory test and in-service test. Technical compatibility and laboratory test of the domestically-developed swing-nose crossing turnout on slab track(F18.5) were evaluated according to the guideline. And then in-service test was performed for the turnout installed at the 2nd phase site of Kyung-Bu HSR. In-service test is comprised of monitoring, and field and on-board test during KTX operation, where monitoring is to check the maintainability, and field and on-board test is to confirm structural and running safety. This paper is intended to explain the requirements for the in-serve test and analyze the results of monitoring and the data measured at field and on-board. Based on the in-service test, it is proven that performance of the domestically-developed swing-nose crossing turnout on slab track(F18.5) well satisfies the requirements of the guideline.

• Journal of Electrical Engineering and Technology
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• 제12권2호
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• pp.959-968
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• 2017

Electrical safety monitoring System (ESMS) is a critical component in modern power systems, which is characterized by large-scale access points, massive users and versatile requirements. For convenience of the information integration and analysis, the software development, maintenance, and application in the system, the cloud platform based ESMS is established and assessed in this paper. Firstly the framework of the system is proposed, and then the assessment scheme with a set of evaluation indices are presented, by which the appropriate cloud product can be chosen to meet the requirements of a specific application. Moreover, to calculate the weights of the evaluation indices under uncertainty, an improved interval AHP method is adopted to take into consideration of the fuzziness of expert scoring, the qualitative consistency test, and the two normalizations in the process of eigenvectors. Case studies have been made to verify the feasibility of the assessment approach for ESMS.

• 폴리머
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• 제27권3호
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• pp.189-194
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• 2003

Electro-micromechanical 시험법을 이용하여 탄소 섬유 강화 열경화성 수지 복합재료의 경화 방법에 따른 계면 평가와 손상 감지능 및 경화 모니터링에 대해 고찰하였다. 경화 후 잔류 응력은 전기 저항 측정을 통해 모니터링 하였으며, 경화 방법에 따라 상호 비교하였다. 기지 재료의 인장 강도, 탄성률 및 계면 전단 강도는 열 경화의 경우가 자외선 경화보다 더 크게 나타났으며, 열 경화에서 경화 수축은 열팽창 계수 차이에 의한 잔류 응력 및 기지 재료의 수축에 의해 자외선 경화와 비교하여 더 크게 나타났다. 열 경화 시의 경화 중 전기 저항은 자외선 경화보다 더 큰 범위에서 변하였으며, 기지 재료의 기계적 물성과 계면 접착력에 의해 다르게 나타나는 겉보기 탄성률 또한 더 컸고, 같은 응력까지 더 빠르게 도달하였다.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2017년도 춘계학술발표대회
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• pp.673-676
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• 2017

Accompanying the Internet of Things (IoT) is a demand of advanced applications and services utilizing the potential of the IoT environment. Monitoring the environment for a provision of context-aware services to the human beings is one of the new trends in our future life. The IoTivity Cloud is one of the most notable open-source platform bringing an opportunity to collect, analyze, and interpret a huge amount of data available in the IoT environment. Based on the IoTivity Cloud, we aim to develop a novel platform for comprehensive monitoring of a future network, which facilitates on-demand data collection to enable the network behavior prediction and the quality of user experience maintenance. In consideration of performance evaluation of the monitoring platform, this paper presents results of a preliminary test on the data acquisition/supply process in the IoTivity Cloud.

• Nuclear Engineering and Technology
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• 제52권8호
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• pp.1661-1668
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• 2020

A physical protection system (PPS) is used for the protection of critical facilities. This paper proposes a structure analytic hierarchy approach (SAHA) for the hierarchical evaluation of the PPS effectiveness in critical infrastructure. SAHA is based on the traditional analysis methods "estimate of adversary sequence interruption, EASI". A community algorithm is used in the building of the SAHA model. SAHA is applied to cluster the associated protection elements for the topological design of complicated PPS with graphical vertexes equivalent to protection elements.

• Smart Structures and Systems
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• 제15권3호
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• pp.555-576
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• 2015

The large number of long-span bridges constructed in China motivates the applications of structural health monitoring (SHM) technology. Many bridges have been equipped with sophisticated SHM systems in the mainland of China and in Hong Kong of China. Recently, SHM technology has been extended to field test systems. In this view, SHM can serve as a tool to develop the methods of life-cycle performance design, evaluation, maintenance and management of bridges; to develop new structural analysis methods through validation and feedback from SHM results; and to understand the behavior of bridges under natural and man-made disasters, rapidly assess the damage and loss of structures over large regions after disasters, e.g., earthquake, typhoon, flood, etc. It is hoped that combining analytical methods, numerical simulation, small-scale tests and accelerated durability tests with SHM could become the main engine driving the development of bridge engineering. This paper demonstrates the above viewpoint.

• Smart Structures and Systems
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• 제11권4호
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• pp.365-386
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• 2013

Monitoring systems currently applied to concrete bridges include strain gauges, inclinometers, accelerometers and displacement transducers. In general, vertical displacements are one of the parameters that more often need to be assessed because their information reflects the overall response of the bridge span. However, the implementation of systems to continuously and directly observe vertical displacements is known to be difficult. On the other hand, strain gauges and inclinometers are easier to install, but their measurements provide no more than indirect information regarding the bridge deflection. In this context, taking advantage of the information collected through strain gauges and inclinometers, and the processing capabilities of current computers, a procedure to evaluate bridge girder deflections based on polynomial functions is presented. The procedure has been implemented in an existing software system - MENSUSMONITOR -, improving the flexibility in the data handling and enabling faster data processing by means of real time visualization capabilities. Benefiting from these features, a comprehensive analysis aiming at assessing the suitability of polynomial functions as an approximate solution for deflection curves, is presented. The effect of boundary conditions and the influence of the order of the polynomial functions on the accuracy of results are discussed. Some recommendations for further instrumentation plans are provided based on the results of the present analysis. This work is supported throughout by monitoring data collected from a laboratory beam model and two full-scale bridges.