• 한국컴퓨터정보학회논문지
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• 제27권1호
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• pp.51-59
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• 2022

무기체계의 소프트웨어 기능 의존성이 높아짐에 따라 소프트웨어는 무기체계를 제어하는 핵심요인으로 자리매김하였다. 또한 국내/외적으로 소프트웨어 개발이 중요해지면서 소프트웨어에 대한 검증이 쟁점이 되고 있다. 최근 방산시장에서 이러한 점을 인식하고 무기체계 소프트웨어 유지보수를 위한 방안을 요구하고 있다. 본 논문에서는 자동화시험장비(Automatic Test Equipment, ATE)를 이용하여 무기체계 소프트웨어 유지보수 방안을 제시한다. 그 구체적인 방안은 시뮬레이터를 활용하여 소프트웨어 기능을 확인하고 고장 케이스를 식별하는 것이다. 이는 개발업체가 고장 케이스를 식별하는 시간을 줄임으로써 무기체계 총 고장정비시간(Total Corrective Maintenance Time, TCM)을 감소시킬 수 있는 효과적인 방법이다. 제안된 소프트웨어 유지보수 기능 추가된 자동화시험장비(ATE)는 기존 대비 정비도 및 운용가용도(OA)가 개선됨을 입증하였다.

• Journal of applied mathematics & informatics
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• 제8권1호
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• pp.243-252
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• 2001

The points of failure of a decomposition process are defined to be the union of the points of failure from two component point processes for software reliability systems. Because sampling from the likelihood function of the decomposition model is difficulty, Gibbs Sampler can be applied in a straightforward manner. A Markov Chain Monte Carlo method with data augmentation is developed to compute the features of the posterior distribution. For model determination, we explored the prequential conditional predictive ordinate criterion that selects the best model with the largest posterior likelihood among models using all possible subsets of the component intensity functions. A numerical example with a simulated data set is given.

• 한국철도학회논문집
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• 제9권4호
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• pp.419-424
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• 2006

In this paper we study on a method to predict and to demonstrate the reliability of the Korea high speed train control system in quantitative point of view. For the prediction of the reliability in train control system which is composed of electronic parts, Relax Software 7.7 automation tool is employed and MIL-HDBK-217 Handbook that is a standard for the prediction of the failure rate in electronic components is used. Mean Time Between Failure (MTBF) is predicted based on the failure rate of the subsystems, State Modeling and Markov Modeling method is used to express a reliability function of the train control system composed by hardware redundancy as a function of time. We propose a Reliability Test which is performed on the level of the subsystems and Failure Report, Analysing, Correction action system which use the test operation data to prove the predicted reliability.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2000년도 제15차 학술회의논문집
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• pp.88-88
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• 2000

As more and more critical commercial applications move on the Internet, providing highly available servers becomes increasingly important. One of the advantages of a clustered system is that it has hardware and software redundancy. High availability can be provided by detecting node or daemon failure and reconfiguring the system appropriately so that the workload can be taken over bi the remaining nodes in the cluster. This paper presents how to provide the guaranteeing high availability of clustering web server. The load balancer becomes a single failure point of the whole system. In order to prevent the failure of the load balancer, we setup a backup server using heartbeat, fake, mon, and checkpointing fault-tolerance method. For high availability of file servers in the cluster, we setup coda file system. Coda is a advanced network fault-tolerance distributed file system.

• 한국콘텐츠학회논문지
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• 제8권8호
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• pp.47-56
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• 2008

임무컴퓨터는 항공전자시스템에서 임무 수행에 필요한 각종 전술데이터 처리, 영상처리, 항법정보의 관리 및 융합 등의 매우 중요한 기능을 수행한다. 이러한 중요 시스템이 단일시스템으로 구성되면, 여러 가지 SPOF(Single Point Of Failure) 요소의 고장으로 인해 전체 시스템의 고장으로 이어질 수 있다. 이는 서비스 중단으로 인한 임무의 실패뿐만 아니라 조종사의 생명까지도 위협할 수 있다. 본 논문에서는 단일 시스템의 이중화를 통해 SPOF 요소를 제거하고, 이를 운영하기 위한 방안으로 리눅스 기반의 Heartbeat, Fake, DRBD(Distributed Replicated Block Device), Bonding 등의 기법을 이용하여 고가용 시스템을 구현하였다. 또한, 구현한 고가용 시스템에서 빠른 고장 탐지를 위한 FDT(Fault Detection Time)와 고장 발생 시 임무 연속성을 위해 중요한 요소일 MTTR(Mean Time To Repair)의 평균값을 측정하고, 그에 따른 성능분석 결과를 제시한다.

• Journal of Information Technology Applications and Management
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• 제11권4호
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• pp.87-94
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• 2004

The software reliability growth model(SRGM) has been developed in order to estimate such reliability measures as remaining fault number, failure rate and reliability for the developing stage software. Almost of them assumed that the faults detected during testing were evetually removed. Namely, they have studied SRGM based on the assumption that the faults detected during testing were perfectly removed. The fault removing efficiency. however. IS imperfect and it is widely known as so in general. It is very difficult to remove detected fault perfectly because the fault detecting is not easy and new error may be introduced during debugging and correcting. Therefore, the fault detecting efficiency may influence the SRGM or cost of developing software. It is a very useful measure for the developing software. much helpful for the developer to evaluate the debugging efficiency, and, moreover, help to additional workloads necessary. Therefore. it is very important to evaluate the effect of imperfect dubugging in point of SRGM and cost. and may influence the optimal release time and operational budget. I extent and study the generally used reliability and cost models to the imperfect debugging range in this paper.

• ETRI Journal
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• 제42권5호
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• pp.748-760
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• 2020

MapReduce is a framework that can process huge datasets in parallel and distributed computing environments. However, a single machine failure during the runtime of MapReduce tasks can increase completion time by 50%. MapReduce handles task failures by restarting the failed task and re-computing all input data from scratch, regardless of how much data had already been processed. To solve this issue, we need the computed key-value pairs to persist in a storage system to avoid re-computing them during the restarting process. In this paper, the task failure resilience (TFR) technique is proposed, which allows the execution of a failed task to continue from the point it was interrupted without having to redo all the work. Amazon ElastiCache for Redis is used as a non-volatile cache for the key-value pairs. We measured the performance of TFR by running different Hadoop benchmarking suites. TFR was implemented using the Hadoop software framework, and the experimental results showed significant performance improvements when compared with the performance of the default Hadoop implementation.

• 정보처리학회논문지:소프트웨어 및 데이터공학
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• 제4권9호
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• pp.331-336
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• 2015

IoT 기반 센서네트워크에서 사용자 또는 센서노드가 원하는 서비스에 접근하기 위해서는 기본적으로 서비스 탐색이 요구된다. 기존의 서비스 탐색 관련 연구는 중앙집중적인 Resource Directory(RD) 서버나 P2P 방식을 이용한다. 그러나 이러한 방식들은 point-of-failure나 서비스 탐색 메시지 플러딩(flooding)을 초래한다. 따라서 본 논문에서는 기존의 CoAP 기반 서비스 탐색 방식에 Social Web of Things(SWoT) 개념을 접목함으로써 기존 방식의 단점을 극복하고 소셜 네트워크 서비스(SNS)를 바탕으로 키워드 기반 탐색과 위치 기반 탐색 등의 기능을 새롭게 추가하여 편의성을 제고하였다. 제안하는 SWoT 서비스 탐색 기술의 검증을 위해 테스트베드를 구축하여 시험하고 평가하였다.

• Computers and Concrete
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• 제19권5호
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• pp.477-488
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• 2017

In this paper, an innovative technique for finite element (FE) modeling of steel tube-confined concrete (STCC) columns with active confinement under axial compressive loading is presented. In this method, a new constitutive model for the stress-strain relationship of actively-confined concrete is proposed. In total, 14 series of experimental STCC stub columns having active confinement were modeled using the ABAQUS software. The results obtained from the 3D model including the compressive strength at the initial peak point and failure point, as well as the axial and lateral stress-strain curves were compared with the experimental results to verify the accuracy of the 3D model. It was found that there existed a good agreement between them. A parametric study was conducted to investigate the effect of the concrete compressive strength, steel tube wall thickness, and pre-stressing level on the behavior of STCC columns with active confinement. The results indicated that increasing the concrete core's compressive strength leads to an increase in the compressive strength of the active composite column as well as its earlier failure. Furthermore, a reduction in the tube external diameter-to-wall thickness ratio affects the axial stress-strain curve and the confining pressure, while increasing the pre-stressing level has a negligible effect on the two.

• Wind and Structures
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• 제7권1호
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• pp.55-70
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• 2004

Aerostatic instability of a suspension bridge may suddenly appears when the deformed shape of the structure produces an increase in the value of the three components of displacement-dependent wind loads distributed in the structure. This paper investigates the aerostatic stability of suspension bridges using an advanced nonlinear method based on the concept of limit point instability. Particular attention is devoted to aerostatic stability analysis of symmetrical suspension bridges. A long-span symmetrical suspension bridge (Hu Men Bridge) with a main span of 888 m is chosen for analysis. It is found that the initial configuration (symmetry or asymmetry) may affect the instability configuration of structure. A finite element software for the nonlinear aerostatic stability analysis of cable-supported bridges (NASAB) is presented and discussed. The aerostatic failure mechanism of suspension bridges is also explained by tracing aerostatic instability path.