• 한국가스학회:학술대회논문집
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• 2005.05a
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• pp.212-212
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• 2005

• Proceedings of the Korean Information Science Society Conference
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• 2005.11b
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• pp.190-192
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• 2005

EAI(Enterprise Application Integration : 전사적 애플리케이션 통합)는 기업간 또는 기업 내부의 다양하고 이질적인 시스템과 애플리케이션 그리고 비즈니스 프로세서을 통합 하는것[1]이며, 본 논문에서는 어느 한쪽 프로세서가 중단되어도 다른 프로세서가 그 처리를 이어 받아서 중단없는 데이터 및 프로세스를 처리함으로써 기업의 전체 프로세스에는 영향이 없게하는 방법을 C API 프로그램의 구현을 통하여 증명함으로써 무중단 실시간 처리 시스템 구축에 도움이 될 것이며. 로그파일 모니터링 방법을 통한 실시간 모니터링에 대해서 설명하고, 앞으로의 발전방향에 대하여 논할것이다.

• Proceedings of the Korea Society for Industrial Systems Conference
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• 1997.11a
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• pp.383-394
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• 1997

이 논문에서 우리는 결함허용 실시간 소프트웨어 설계를 위한 명세언어를 제안한다. 특히, 현재 가장 인기있는 소프트웨어 기법인 후향 오류 복구를 위한 명세언어로 N-modular redunduncy나 voted-process pairs등에도 사용 가능하다. 지금까지의 명세 언어로서는 시스템의 정상 개발 차원에서의 명세만 가능했다. 그래서 본 논문에서는 시스템의 오류시에도 복구 가능한 논리 전달을 위한 명세를 제공한다. 복잡함을 피하기 위해 객체단위로 시스템을 이끌며, 명세서 작성시 주요한 부시스템 단위로 이 방법을 적용하면 명세 기술에 따른 오버헤드를 감소시킬 수 있다.

• Proceedings of the KIEE Conference
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• 1998.07c
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• pp.1006-1008
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• 1998

This paper describes the possible undesier-able side effects that thyristor controlled compensation may have upon in several relays. This process consisted of calculating line conditions for each of the fault, compensation and loading levels. In some cases their effectiveness at coordinating compensated lines is lost, as they no longer can always accurately determine "distances" to faults.

• 제어로봇시스템학회:학술대회논문집
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• 1997.10a
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• pp.1516-1519
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• 1997

With disseminationof Distributed Control Systems(DCS), the huge amounts of process operation data could have been available and led to figure out process behaviors better on the statistical basis. Until now, the statistical modeling technology has been susally applied to process monitoring and fault diagnosis. however, it has been also thought that these process information, extracted from statistical analysis, might serve a great opportunity for process operation improvements and process improvements. This paper proposed a general methodolgy for process operation improvements including data analysis, backing up the result of analysis based on the methodology, and the mapping physical physical phenomena to the Principal Components(PC) which is the most distinguished feature in the methodology form traditional statistical analyses. The application of the proposed methodology to the Balst Furnace(BF) process has been presented for details. The BF process is one of the complicated processes, due to the highly nonlinear and correlated behaviors, and so the analysis for the process based on the mathematical modeling has been very difficult. So the statisitical analysis has come forward as a alternative way for the useful analysis. Using the proposed methodology, we could interpret the complicated process, the BF, better than any other mathematical methods and find the direction for process operation improvement. The direction of process operationimprovement, in the BF case, is to increase the fludization and the permeability, while decreasing the effect of tapping operation. These guide directions, with those physical meanings, could save fuel cost and process operator's pressure for proper actions, the better set point changes, in addition to the assistance with the better knowledge of the process. Open to set point change, the BF has a variety of steady state modes. In usual almost chemical processes are under the same situation with the BF in the point of multimode steady states. The proposed methodology focused on the application to the multimode steady state process such as the BF, consequently can be applied to any chemical processes set point changing whether operator intervened or not.

• Science of Emotion and Sensibility
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• v.11 no.2
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• pp.207-214
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• 2008

The inspection processing is for reducing loss which occurs fault because of fabric appearance. Up to now inspection machine which is used from inspection process is classified with the macrography inspection machine and the full automatic inspection machine. The macrography inspection machine is low price and efficient equipment but does not record information of fault. On the other side, the automatic inspection machine is high price, also the detection rate of one changes with effect of environment variable but able to record information of fault. It developed semi-automatic cloth inspection machine with the weak point of the macrography inspection machine and the automatic inspection machine was complemented. And when it uses information which was collected by semi-automatic cloth inspection machine, the loss rate of original fabric is able to calculate. So sewing factories will be able to predict fabric consuming quantity.

• Journal of Advanced Marine Engineering and Technology
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• v.36 no.2
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• pp.258-266
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• 2012

Recently, Acoustic Emission (AE) technique is widely applied to develop the early fault detection system, and the problem about a signal processing method for AE signal is mainly focused on. In the signal processing method, envelope analysis is a useful method to evaluate the rolling element bearing problems and Wavelet transform is a powerful method to detect faults occurred on gearboxes. However, exact method for AE signal is not developed yet. Therefore, in this paper, two methods, which is Hilbert transforms (HT) and Hilbert-Huang transforms (HHT), will be compared for development a signal processing method for early fault detection system by using AE. AE signals were measured through a fatigue test. HHT has better advantages than HT because HHT can show the time-frequency domain result. But, HHT needs long time to process a signal, which has a lot of data, and has a disadvantage in de-noising filter.

• The Journal of the Korea Contents Association
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• v.9 no.8
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• pp.91-98
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• 2009

This paper presents a solution to error avalanche of deciphering where radio noise brings random bit errors in encrypted image data under ubiquitous environment. The image capturing module is to be made comprising data compression and encryption features to reduce data traffic volume and to protect privacy. Block cipher algorithms may experience error avalanche: multiple pixel defects due to single bit error in an encrypted message. The new fault tolerant scheme addresses error avalanche effect exploiting a three-dimensional data shuffling process, which disperses error bits on many frames resulting in sparsely isolated errors. Averaging or majority voting with neighboring pixels can tolerate prominent pixel defects without increase in data volume due to error correction. This scheme has 33% lower data traffic load with respect to the conventional Hamming code based approach.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.29 no.11B
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• pp.956-966
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• 2004

Nowadays, NGN(Next Generation Network) is evolving into network with packet based QoS.\ulcorner This paper presents the recovery method as a selecting way of more efficient path in MPLS network that reduces the service interruption time. In order to increase the efficiency of usage of recovering resource which is one of major functions of disorder recovering, it opens the state information of each Node both to fault detector and bandwidth broker so that it reduces message transmission time for recovery when functional disorder occurs. in addition, by effective management and adjustment of required bandwidth of entire network depending on the changes of traffic load, it improves the efficiency of bandwidth usage. and in MPLS network supporting priority selection function, it allocates domains depending on the traffic relating to priority order to the entire network so that\ulcorner it efficiently allocates proper resources to the restoring process between the entry and the end for the traffic of high priority and for low priority traffic, it restores path oかy inside disordered domain. by doing this, it reduces resetting time and unnecessary massage transmission.

• The Korean Journal of Applied Statistics
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• v.21 no.5
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• pp.813-823
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• 2008

The non-homogeneous Poisson process(NHPP) based software reliability growth models are proved quite successful in practical software reliability engineering. The fault detection rate is usually assumed to be the continuous and monotonic function. However, the fault detection rate can be affected by many factors such as the testing strategy, running environment and resource allocation. This paper describes a parameter estimation of software reliability growth model with change-point problem. We obtain the maximum likelihood estimate(MLE) and least square estimate(LSE), and compare goodness-of-fit.