• 한국통신학회:학술대회논문집
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• 한국통신학회 1986년도 춘계학술발표회 논문집
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• pp.113-118
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• 1986

Nowdays switching software designs are based on the concept of maximizing efficiency. This idea is to put through the most call, in the fastest time, using the fewest possible resources. So the memory usages are embossed one of the most important part to be considered in the switching software. This paper discusses the general concepts of switching software at first, then describes the switching data base from the view point of the access time, memory efficiency, and call processing environment.

• Journal of Advanced Marine Engineering and Technology
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• 제30권2호
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• pp.253-259
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• 2006

There is few study which automatically diagnoses the fault from ship's monitored data. The bigger control and monitoring system is. the more important fault diagnosis and maintenance is to reduce damage caused by system fault. This paper proposes fault diagnosis system using a correlation analysis algorithm which is able to diagnose and forecast the fault from monitored data and is composed of fault detection knowledge base and fault diagnosis knowledge base. For all kinds of ship's engine room monitored data are classified with combustion subsystem, heat exchange subsystem and electric motor and pump subsystem, To verify capability of fault detection, diagnosis and prediction, FMS(Fault Management System) is developed by C++. Simulation by FMS is carried out with population data set made by the log book data of 2 months duration from a large full container ship of H shipping company.

• 정보처리학회논문지B
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• 제17B권2호
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• pp.125-138
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• 2010

본 연구는 공공기관이 소장한 이미지데이터의 검색 및 열람 등의 활용성을 높이기 위한 전문검색서비스 구현 시 필수적인 문서인식시스템의 고도화를 목표로 한다. 주요한 연구방향은 공공기관이 소장하고 있는 데이터를 사전에 분석하여 문서이미지 전처리 및 문서구조분석 기술을 개발하고, 문서인식 과정에서 활용하기 위한 이미지내용DB, 문자모델DB, 용어DB로 구성되는 특화된 지식베이스를 구축하는 것이다. 또한, 지식베이스 관리도구를 개발하여 향후 다양한 형태의 문서이미지로의 확장을 가능하게 한다. 최근 본 연구는 국가기록원에서 소장하고 있는 이미지데이터에 적합한 문서구조분석 라이브러리와 특화된 지식베이스를 결합한 문서인식 프로토타입 시스템 개발을 완료했다. 향후 본 연구의 결과는 방대한 소장자료의 검색 및 활용을 극대화할 전문검색시스템 연계를 위한 성능평가 및 테스트베드 구축에 활용될 것이다.

• 디지털산업정보학회논문지
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• 제9권1호
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• pp.103-110
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• 2013

WAVE system is a vehicle communication technology. The system provides the services to prevent vehicle accidents that might occur during driving. Also, it is used to provide various services such as monitoring vehicle management and system failure. In this paper, we divide module that manages WAVE MAC state into a WSMP base MLME module and IP base module and we design and implement a parameter environment between WME module to manage the state of the WAVE system and MLMEX module to mange IP base of WAVE MAC therefore the date to be processed.Also, in order to verify the validity, we have carried out experiments to compare the speed of data processing by dividing data of 5Mbyte, 10Mbyte, 20Mbyte into the packets of 2KByte and 4KByte. Therefore, in WAVE system, the Parameter environments and data processing speed between WME and MLMEX module can be utilized in the various service of vehicle communication technology depending on the speed of data processing.

• 대한기계학회:학술대회논문집
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• 대한기계학회 2003년도 춘계학술대회
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• pp.195-200
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• 2003

An expert system for estimation of fatigue properties from simple tensile data of material is developed, considering nearly all important estimation methods proposed so far, i.e., 7 estimation methods. The expert system is developed using an expert system shell, UNIK, and the knowledge base is constructed with production rules and frames. Forward chaining is employed as a reasoning method. The expert system has three major functions including the function to update the knowledge base. The performance of the expert system is tested using the 54 ${\sigma}-N$ curves consisting of 381 ${\sigma}-N$ data points obtained for 22 materials. It is found that the expert system developed has excellent performance especially for steel materials, and reasonably good for titanium alloys.

• 한국음향학회지
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• 제15권2호
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• pp.61-71
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• 1996

본 논문에서는 음성합성을 위한 대화체(회화체) 음성의 triphone 단위 데이터베이스 구축에 대하여 보고한다. 특히 본 연구는 방송 매체를 이용하여 대화체 음성을 수집하고 3차에 걸친 대화체 표기(transcription)작업을 거쳐 triphone 단위의 분할 및 음성기호층 단계의 레이블링을 목표로 진행되었다. 수집된 총 10시간 방송분량중 6시간 분량을 데이터베이스 구축에 사용하였으며, 나머지 4시간은 예비 분으로 수집되었다. 낭독체 음성 데이터베이스 구축과는 여러 면에서 다른, 대화체 음성 데이터베이스 구축을 위한 음성 데이터 수집에서부터 triphone 단위 레이블링까지의 과정을 본 논문에서 기술하고, 보다 체계적이고 일관성있는 대화체 음성 데이터베이스 구축을 위해 필요한 계획 및 요구 사항에 대해서 논하고자 한다.

• 한국태양에너지학회 논문집
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• 제30권3호
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• pp.25-32
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• 2010

A real-time monitoring system was developed for transfer, receive, backup and analysis of wind power data at three wind farm(Hang won, Hankyung and Sung san) in Jeju. For this monitoring system a communication system analysis, a collection of data and transmission module development, data base construction and data analysis and management module was developed, respectively. These modules deal with mechanical, electrical and environmental problem. Especially, time series graphic is supported by the data analysis and management module automatically. The time series graphic make easier to raw data analysis. Also, the real-time monitoring system is connected with wind power forecasting system through internet web for data transfer to wind power forecasting system's data base.

• Journal of Advanced Marine Engineering and Technology
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• 제30권2호
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• pp.247-252
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• 2006

Almost ship monitoring systems are event driven alarm system which warn only when the measurement value is over or under set point. These kinds of system cannot warn until signal is growing to abnormal state that the signal is over or under the set point. therefore cannot play a role for preventive maintenance system. This paper proposes fault diagnosis method which is able to diagnose and forecast the fault from present operating condition by analyzing monitored signals with present ship monitoring system without any additional sensors. By analyzing the data with high correlation coefficient(CC), correlation level of interactive data can be defined. Knowledge base of abnormal detection can be built by referring level of CC(Fault Detection CC. FDCC) to detect abnormal data among monitored data from monitoring system and knowledge base of diagnosis built by referring CC among interactive data for related machine each other to diagnose fault part.

• 한국마린엔지니어링학회:학술대회논문집
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• 한국마린엔지니어링학회 2005년도 전기학술대회논문집
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• pp.281-286
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• 2005

Almost ship monitoring systems are event driven alarm system which warn only when the measurement value is over or under set point. These kinds of system cannot warn while signal is growing to abnormal state until the signal is over or under the set point and cannot play a role for preventive maintenance system. This paper proposes fault diagnosis method which is able to diagnose and forecast the fault from present operating condition by analyzing monitored signals with present ship monitoring system without additional sensors. By analyzing this data having high correlation coefficient(CC), correlation level of interactive data can be understood. Knowledge base of abnormal detection can be built by referring level of CC(Fault Detection CC, FDCC) to detect abnormal data among monitored data from monitoring system and knowledge base of diagnosis built by referring CC among interactive data for related machine each other to diagnose fault part.

• 대한전기학회논문지
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• 제39권3호
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• pp.240-246
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• 1990

The security control can be defined as all control actions and counter-measures to return the operating state of the system to a normal state. In an emergency state, fault clearing and/or overload suppression is enabled as a security control in order to prevent the extension of the fault. In the alert state, counter-measures should be set up in advance for the dangerous points of the system operation in drder to protect the system from expected accidents. In the normal state, the routine scenario is conducted to analyze system state. In the decision-making of the classification of system states, the heuristic and experienced knowledge can be well applied and thus application of expert system to this area attains considerable achievements. In this study, it is attempted to extract empirical rules through heuristic analysis and establish the knowledge base. Finally, the incorporation method with the conventional program packages in proposed. The expert system is designed to select an appropriate method and to perform the corresponding package. The input data can be automatically set up by using the data base. The computation results can be automatically added to the data base.