• Journal of Korea Society of Industrial Information Systems
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• v.15 no.3
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• pp.67-75
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• 2010

Network reprogramming is a technology that allows several sensor nodes deployed in sensor field to be repaired remotely. Unlike general communication in sensor network where small amount of data is transferred, network reprogramming requires reliable transfer of large amount of data. The existing network reprogramming techniques suffers high cost and large energy consumption to recover data loss in node communication. In this paper, a cluster based network reporgramming scheme is proposed for sensor network. It divides sensor field into several clusters and chooses a cluster header in charge of data relay to minimize duplicated transmission and unnecessary competition. It increases reliability by effective error recovery through status table.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.10
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• pp.289-299
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• 2016

Weapon systems require reliability in the development phase for efficient combat readiness. Improved reliability in various manufacturing processes have been achieved using data analysis. However, data analysis in the development phase is difficult due to problems such as the lack of data, high cost, and the importance of security. Therefore, Post Logistics Support (PLS) data collected following integration is analyzed for long-term quality improvement of weapon systems. In this study, we propose a methodology for examining the correlation between the failure rate and PLS data as follows: First, key variables affecting reliability were identified the correlation between variables on the failure rate examined. Second, corresponding analysis was conducted for determining the correlation between patterns of categorical data. Third, extract categories with the higher contribution and quality of representation, and find the highest variable correlated with failure period through visualization. Then, after selecting patterns which have shorter failure period, the cause of decreased reliability was confirmed through frequency analysis. This study will contribute to improving reliability when developing new weapon systems and will help to strengthen the combat readiness of military.

• Proceedings of the Korean Information Science Society Conference
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• 2003.04a
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• pp.689-691
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• 2003

워크플로우 관리 시스템은 모델링에서 비즈니스 프로세스 정의 데이터를 엔진으로 전송하기 위한 방법으로 정적 저장소와 동적 저장소 방식을 이용한다. 정적 저장소를 통한 데이터 전송은 로컬간 데이터 교환에 장점이 있지만 유연성과 확장성의 문제점을 갖는다. 본 논문에서는 유연성과 확장성 문제 해결 방법으로 동적 저장소 방식을 이용하며 알려지지 않는 외부 데이터의 신뢰성을 체크하기 위하여 WfMC 표준에서 제정한 XPDL를 사용함으로써 문법적, 의미적 타당성을 검증한다. 즉 XPDL 기반의 동적 저장소 전송 메커니즘을 설계하고 신뢰성 있는 데이터 전송을 위하여 문법적, 의미적 타당성 검증에 필요한 컴포넌트를 제시하고자 한다.

• Proceedings of the Korean Information Science Society Conference
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• 1999.10c
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• pp.587-589
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• 1999

일반적으로 산업자동화 시스템은 생산 및 운용 데이터에 매우 민감하다. 따라서, 이들 데이터에 관한 신뢰성, 안정성 및 최적화에 중점을 두어 시스템이 개발되어야 하며, 이는 크게 제어부와 GUI 부분으로 나뉜다. 제어부는 각각의 동작 기기를 담당하고, GUI는 사용자와 자동화 시스템 사이의 제어 및 데이터 통신을 담당한다. 따라서 제어부와 GUI부분 사이의 통신정보는 생산, 제어 및 운용 정보를 포함한다. 이는 GUI 부분이 사용자와 운용부분사이의 정보를 전달함으로 정확한 통신정보분석 및 처리는 매우 중요한 요인이 된다. 그러나 GUI 통신부분에서 운용데이터의 손실 없이 안전한 시스템을 구현하는 것은 매우 어렵다. 따라서, 본 논문은 메시지 인터럽트 방식과 타이머를 조합하는 방법을 이용하여 GUI 통신부분의 안전한 처리방법에 대하여 구현 및 개발하였다. 또한, 본 방법은 많은 조건에서 운용데이터의 손실을 줄임으로써 시스템의 안정성 및 신뢰성을 높일 수 있었다.

• Journal of the Korean Institute of Intelligent Systems
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• v.18 no.2
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• pp.200-205
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• 2008

For data analysis, fuzzy entropy is introduced as the measure of fuzziness, similarity measure is also constructed to represent similarity between data. Similarity measure between fuzzy membership functions is constructed through distance measure, and the proposed similarity measure are proved. Application of proposed similarity measure to the example of reliable data selection is also carried out. Application results are compared with the previous results that is obtained through fuzzy entropy and statistical knowledge.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.2 no.2 s.3
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• pp.55-64
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• 2003

This research is about executing the suitability evaluation of the data through wireless communication system in comparison with the data through the wire system used in National Highway Traffic Management System. The communication system for the evaluation was established on Peoyngteak-Anjung section(about 19 Km) at Route 38 in southern National Highway of the National Capital region where image detectors with the communication by wire were set up. In the situation, the comparison of the data transmission rates between the wire system and the proposed system was accomplished. Before we evaluate the possibility of application about the proposed system, the elements of wireless systems performed the spot investigations. Traffic data transmission test among the equipments was accomplished on the section of the Route 38 where wireless communication equipments were set up. And then, the test of traffic data transmission between the field equipment and the data collective center of wireless communication system was carried out. It evaluated the reliability of wireless communication data for the suitability evaluation of cable/wireless data collected while 73 days.

• Proceedings of the Korea Information Processing Society Conference
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• 2022.11a
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• pp.650-652
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• 2022

최근 데이터를 기반 응용개발이 다양한 분야에서 진행되고 있으며, 수집 데이터는 주요한 의사결정에 사용되고 있다. 이러한 데이터 기반 응용은 데이터의 무결성(data integrity)의 보장과 데이터 생산 과정에서의 진본 확인을 위한 체계가 요구된다. 본 논문에서는 영상 데이터의 무결성 검증 시스템을 구성하는 Logger 설계와 개발을 기술한다. 개발된 Logger 는 해시값을 통해 영상 데이터의 신뢰성을 만족할 수 있다면 영상 데이터를 통해 학습되어 생성된 학습 모델에 대한 신뢰성 또한 보장할 수 있다. Logger 는 라즈베리파이 환경에서 구현한 후 FPS 를 변경하며, 무결성 검증을 실험한다.

• Review of KIISC
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• v.31 no.4
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• pp.29-33
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• 2021

암호학을 세대로 구분하면 단순 패스워드 인증을 1 세대, 송수신 및 데이터 저장 암호를 2 세대, 서명 및 키 공유에 활용하는 암호를 3세대, 키를 사용하지 않는 암호를 4 세대라고 분류 할 수 있다. 현재 암호는 3 세대에 있으며, 암호키를 많이 사용함으로 인하여, 키의 노출로 인한 안전성의 문제를 해결하고자 연구가 있었으며, 4세대 암호로 동형암호가 제시되고 있다. 동형암호는 종대종(End-to-End) 암호의 신뢰성을 보장하며, 중간 과정에서 데이터 처리를 위하여 복호하지 않고서도 가공이 가능하도록 가단성(Malleability)을 제공한다. 이러한 속성을 기반으로 비식별화 처리하지 않고서 원데이터를 처리할 수 있어서, 데이터의 가치가 보존되고, 신뢰성 있는 데이터를 체득할 수 있다. 더욱이 중간단계에서 복호하지 않고서 데이터를 처리는 개인정보보호를 원천적으로 제공할 수 있는 메커니즘으로 파악된다. 본 고에서 동형암호 관련 산업동향 및 국제표준화 동향을 살펴본다.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.5
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• pp.2603-2609
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• 2014

Reliability analysis of mechanical systems requires statistical modeling of input random variables such as distribution function types and statistical parameters that affect the performance of the mechanical systems. Some random variables are correlated, but considered as independent variables or wrong assumptions on input random variables have been used. In this paper, joint distributions were modeled using copulas and Bayesian method from limited number of data. To verify the proposed method, statistical simulation tests were carried out for various number of samples and correlation coefficients. As a result, the Bayesian method selected the most probable copula types among candidate copulas even though the candidate copula shapes are similar for low correlations or the number of data is limited. The most probable copulas also yielded similar reliabilities with the true reliability obtained from a true copula, so that it can be concluded that the Bayesian method provides accurate statistical modeling for the reliability analysis.

• The KIPS Transactions:PartA
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• v.16A no.6
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• pp.481-488
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• 2009

GIS is used to isolate large power electrical equipment using SF6 gas. While GIS has simple structure, it has few break down, relatively high reliability. But it is hard to check up faults for reason of pressure. Faults of GIS should have a ripple effect on community and be hard to recovery. Consequently, GIS imports a preventive diagnostic system to find internal faults in advance. It is most important that reliability on the GIS preventive diagnostic system, because it estimates abnormality of system by analysis result of collected data. But, exist system which used central data management is low efficiency, and hard to guarantee timeliness and accuracy of data. To guarantee timeliness and accuracy, the GIS preventive diagnostic system needs accordingly to use a real-time middleware. So, in this paper, to improve reliability of the GIS preventive diagnostic system, we use a middleware based on TMO for guaranteeing timeliness of real-time distributed computing. And we propose an improved GIS preventive diagnostic system applying data acquisition, monitoring and control methods based on the TMO model. The presented system uses the Communication Control Unit(CCU) for distributed data handling which is supported by TMO. CCU can improve performance of the GIS preventive diagnostic system by guaranteeing timeliness of data handling process and increasing reliability of data through the TMO middleware. And, it has designed to take full charge of overload on a data acquisition task had been processed in an exist server. So, it could reduce overload of the server and apply distribution environment from now. Therefore, the proposed system can improve performance and reliability of the GIS preventive diagnostic system and contribute to stable operation of GIS.