• 경영과정보연구
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• 제26권
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• pp.117-132
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• 2008

This study examined the individual investors' Behavior and proposed the research task how significant difference within and among investor's personality types. First of all, we investigated factors that influence individual investor's investment behavior, such as, openness, will to achieve, self-monitoring. As result investors who have lately five number of holding stock are more dependent on openness and will to achieve.

• 한국콘텐츠학회논문지
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• 제6권9호
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• pp.50-59
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• 2006

본 논문에서는 신경망을 이용한 동작분석 기법을 통한 자동화 영상감시시스템의 구현과 응급상황 검출에의 응용을 제안한다. 카메라로부터 입력된 영상은 통계적 배경 모델에 의한 배경 감산법에 의해 객체영역이 분리되고, 분리된 객체영역의 특징을 표현할 수 있는 특징벡터의 형태로 변형된다. 특징벡터를 이용한 동작분석을 위해 신경망을 사용하였고 간단한 연산에 의해 동작을 구분할 수 있도록 하였다. 본 논문에서는 실험을 위해 stand, faint, squat 등 3가지의 동작 상태를 분류할 수 있도록 하였고, 실험 결과 응급상황을 검출하기 위한 알고리즘으로 유용함을 보였다.

• 한국콘크리트학회:학술대회논문집
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• 한국콘크리트학회 1999년도 봄 학술발표회 논문집(I)
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• pp.469-474
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• 1999

The object of study is analysis to joint crack behavior of cracked joint concrete pavement. In the new constructing concrete pavement, joint crack behavior was compared general joint depth D/4 with joint depth D/3 and D/5 that it's environmental effects changed temperature and humidity. After joint saw cutting joint section was predicted crack at joint depth D/5 test section from the result for monitoring development of crack. In the setting of data logger system of the joint section, it's data compared see with the naked eye. In the research, development of crack at the joint section should effect to joint saw timing latter than joint depth. This performance could be the minimum of deterioration to the early curing. In this research, At new constructing of joint concrete pavement of highway, the monitoring system be setting after finished paving and joint sawing. The system and see with the naked eye could be analysis to pavement behaviors from collecting data at the test section. This system could be monitoring shot term and long term. In this report, joint section of crack behavior analysis used to collected data during a month after paving and joint sawing.

• 한국구조물진단유지관리공학회 논문집
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• 제9권3호
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• pp.129-138
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• 2005

본 논문은 사장교에서 모니터링 시스템을 통해 획득한 가속도 자료를 이용하여 케이블 관리기준 장력을 결정하기 위한 방법을 제시한다. 현재 한국의 많은 장대교량에 모니터링 시스템이 설치되어 있다. 모니터링 시스템은 교량의 이상현상이나 손상을 진단하고 관리주체에 경고하기 위해 설치된다. 사장교에 있어서는 그 기하학적인 형상 때문에 케이블 장력이 교량 이상징후의 중요한 지시가 될 수 있다. 만약 케이블 장력관리치가 너무 높거나 또는 너무 낮게 설정되면, 모니터링 시스템은 교량의 이상징후를 적절하게 경고하지 못할 것이다. 일반적으로, 관리치는 경험이나 공학적 판단에 의해 결정된다. 그러나 본 논문에서는 케이블 장력에 대한 확률분포모형과 신뢰성 해석에 기초한 새로운 케이블 장력관리치 설정에 대한 방법을 제시한다. 제안된 방법은 적용성 검토를 위하여 실제 콘크리트 사장교에 적용되었다.

• 한국해양공학회지
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• 제22권5호
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• pp.142-147
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• 2008

The cases of using new methods of big blocks are largely increasing on Recent large-scale bridge structures. So the accurate data of responses of bridges following environmental causes are required to be quickly recorded in order to predict. For this reason described above, the research on measuring system should be conducted for more knowledge of the details on application and stability of new methods. In this study, the new health monitoring system that can monitor the real behavior and damages of the bridge during all processes of construction is presented by analyzing cases of domestic and overseas bridge health monitoring system, and applied methods of following bridges.

• 한국철도학회:학술대회논문집
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• 한국철도학회 2007년도 추계학술대회 논문집
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• pp.411-418
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• 2007

To analyze dynamic and long-term behavior of high speed rail system, and seismic measurements been installed at the various locations in the high speed rail system. Among these, 76 measurements were installed Chunan and Deajeon, and 80 measurements between Kwangmyung and Chunan. From these 156 measurements, real time data are continuously corrected and be sent to the main monitoring system to be used further analysis. These two systems were installed by different institution, and so there are not only basic differences in the system itself, but system running methods and data collecting/transferring methodology. There has been systematic difficulties due to these differences. This study shows the whole steps of high speed rail data monitoring systems include measurement equipment itself and data collecting/transferring system. study will proposed a more effective methods for collecting. This study also discuss the real time analysis method which can be used for future high speed rail monitoring system.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2003년도 ICCAS
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• pp.1968-1970
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• 2003

In this paper we propose a system to forecast the dangerous behavior of the dementia patients. Basic idea of our approach is to measure the body movements of the dementia patients using the acceleration sensor. Based on the data measured, warning the care-givers about possible dangerous actions like falling down from the bed and slipping down onto the floor to some extent. The signals measured by the acceleration sensor are processed by a one-chip computer. Based on the diagnosis of the one-chip computer , alert signal is generated to the care-giver by a wire-less signal. The sensor is implemented in a compact body . Applicability of the system is now being examined at a nursing home.

• 한국지반공학회:학술대회논문집
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• 한국지반공학회 1999년도 가을 학술발표회 논문집
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• pp.103-108
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• 1999

This paper describes development of a new automated real-time system which preforms measurement data reduction and management, geotechnical backanalysis, and feedback design for embankment construction on soft ground. Such a system can be an effective, useful and economical tool for managing a large site development on soft ground. The system consists of data base system to characterize soil properties and identify instrumentation, analysis system for ground behavior and stability coupled with automatic monitoring system, and feedback design system which is a new technique to reflect the analysis of measured ground behavior against original design.

• ETRI Journal
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• 제21권4호
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• pp.52-64
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• 1999

QoS monitoring is a kind of real-time systems which allows each level of the system to track the ongoing QoS levels achieved by the lower network layers. For these systems, real-time communications between corresponding transport protocol objects is essential for their correct behavior. When two or more entities are employed to perform a certain task as in the case of communication protocols, the capability to do so is called interoperability and considered as the essential aspect of correctness of communication systems. This paper describes a formal approach on modeling and interoperability test case generation of a real-time QoS monitoring protocol. For this, we specify the behavior of flow monitoring of transport layer QoS protocol, i.e., METS protocol, which is proposed to address QoS from an end-to-end's point of view, based on QoS architecture model which includes ATM net work in lower layers. We use a real-time Input/Output finite State Machine to model the behavior of real-time flow monitoring over time. From the modeled real-time I/OFSM, we generate interoperability test cases to check the correctness of METS protocol's flow monitoring behaviors for two end systems. A new approach to efficient interoperability testing is described and the method of interoperability test cases generation is shown with the example of METS protocol's flow monitoring. The current TTCN is not appropriate for testing real-time and multimedia systems. Because test events in TTCN are for message-based system and not for stream-based systems, the real-time in TTCN can only be approximated. This paper also proposes the notation of real-time Abstract Test Suite by means of real-time extension of TTCN. This approach gives the advantages that only a few syntactical changes are necessary, and TTCN and real-time TTCN are compatible. This formal approach on interoperability testing can be applied to the real-time protocols related to IMT-2000, B-ISDN and real-time systems.

• 한국안전학회지
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• 제33권6호
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• pp.42-49
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• 2018

In this study, we have developed a prediction model for expansion and contraction behaviors of expansion joint in Gwangan Bridge using machine learning techniques and bridge monitoring data. In the development of the prediction model, two famous machine learning techniques, multiple regression analysis (MRA) and artificial neural network (ANN), were employed. Structural monitoring data obtained from bridge monitoring system of Gwangan Bridge were used to train and validate the developed models. From the results, it was found that the expansion and contraction behaviors predicted by the developed models are matched well with actual expansion and contraction behaviors of Gwangan Bridge. Therefore, it can be concluded that both MRA and ANN models can be used to predict the expansion and contraction behaviors of Gwangan Bridge without actual measurements of those behaviors.