• 한국철도학회:학술대회논문집
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• 한국철도학회 2007년도 춘계학술대회 논문집
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• pp.45-57
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• 2007

During the design phase of a system, which requires high reliability and safety such as aircraft, high speed train and nuclear power plant, reliability engineer must set up the target system reliability. To meet a reliability goal for the system, reliability allocation should be done gradually from the system to its element. For this end, first of all, we need to construct functional block diagram based on the design output and PWBS(Project Work Breakdown System). Another important input data for reliability allocation is the relationship between the cost and the reliability. In this study we investigate various reliability allocation models, which can be applicable to aircraft, vehicle, and power plant, and etc. And we suggest a proper reliability allocation model which can be effectively applicable to KTX-II high speed train to achieve the target system reliability.

• 한국신뢰성학회:학술대회논문집
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• 한국신뢰성학회 2005년도 학술발표대회 논문집
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• pp.109-113
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• 2005

Optimality for block designs have received much attention in the literature. Here we review these criteria and present results showing their A,D and E connection. Also we acquainted with the mathematical methods of designing optimal experiments. In this paper, we will to do work about optimality in experimental designs.

• International Journal of Reliability and Applications
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• 제2권2호
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• pp.131-135
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• 2001

Two general methods of construction leading to several series of universally optimal block designs for complete diallel crosses are provided in this paper. A method of constructing variance balance designs is also given.

• 생명과학회지
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• 제18권1호
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• pp.91-95
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• 2008

In human, sympathetic nerve blocks with local anesthetics are widely used to treat a variety of diseases in the innervating regions. However, its procedure in dogs is difficult to approach and process repeatedly because of anatomically location. Therefore, this study was designed to develop a new technique of sympathetic nerve block in beagle dogs. Fifteen healthy beagle dogs, which did not show any neurologic abnormalities and disease, were used for the study. Radiograghs were taken after injected radiopaque material mixed with 2% lidocaine at the cranial cervical ganglion and injected methylene blue using the same percutaneous technique to verify the reliability of this newly developed technique. The successful block rate of the cranial cervical ganglion block was present in 80% of all dogs and the stained cranial cervical ganglions were shown in all dogs. The results show that this new technique of the cranial cervical ganglion block is a reliable and simple method that can be used for clinical studies in dogs.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2001년도 하계학술대회 논문집 D
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• pp.2108-2110
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• 2001

Used analog control systems have been converted into digital control systems due to performance degradation and difficulty of maintenance. There are few domestic DCS (Distribued Control System)s that have been applied to power plant. To apply a domestic DCS to power plant, the reliability, redundacny, and fault tolerance of DCS is important. Besides those items, the control action of control function block is also important. In this paper, we describe the requirements that PID control function block has to have, and implement a PID control function block that satisfies those requirements. Finally, real control result using an implemented PID function block in thermal power plant shows the validity of an implemented PID control function block.

• 한국철도학회논문집
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• 제10권5호
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• pp.527-532
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• 2007

본 논문은 철도신호에서 사용되는 이중계제어장치의 전원공급방식에 대하여 상수고장률을 기반으로 하는 평균고장률에 의한 설계와 신뢰도함수에 의한 설계방안을 제안한다. 일반적으로 시스템 운명이전에 신뢰도 요구사항 만족을 위한 시스템의 신뢰도 예측은 RBD모델을 사용하였다. 하지만 이중계제어장치와 같이 여분을 갖는 시스템의 신뢰도를 RBD와 같은 조합모델에 의해 정확한 신뢰도를 모델링하기에 부적합하다. 따라서 본 논문에서는 다중계구조 제어기의 설계과정에서 단순조합모델에 의한 설계방식 선정보다는 결함발생에 대한 여분구조의 모델링을 통한 설계방식 선정이 보다 정확한 신뢰도를 갖는 시스템구축을 가능하게 하며, 운영중에 발생되는 유지보수비용 및 고장으로 인한 손실비용의 효율화를 위해 필요함을 입증한다.

• 한국경영과학회지
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• 제14권1호
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• pp.88-96
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• 1989

General measure in the reliability is the k-terminal reliability, which is the probability that the specified vertices are connected by the working edges. To compute the k-terminal reliability components are usually assumed to be statistically independent. In this study the modeling and analysis of the k-terminal reliability are investigated when dependency among components is considered. As the size of the network increases, the number of the joint probability parameter to represent the dependency among components is increasing exponentially. To avoid such a difficulty the structured-event-based-reliability model (SERM) is presented. This model uses the combination of the network topology (physical representation) and reliability block diagram (logical representation). This enables us to represent the dependency among components in a network form. Computational algorithms for the k-terminal reliability in SERM are based on the factoring algorithm Two features of the ractoring algorithm are the reliability preserving reduction and the privoting edge selection strategy. The pivoting edge selction strategy is modified by two different ways to tackle the replicated edges occuring in SERM. Two algorithms are presented according to each modified pivoting strategy and illustrated by numerical example.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제12권1호
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• pp.204-226
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• 2018

Big data processing applications have been migrated into cloud gradually, due to the advantages of cloud computing. Hadoop Distributed File System (HDFS) is one of the fundamental support systems for big data processing on MapReduce-like frameworks, such as Hadoop and Spark. Since HDFS is not aware of the co-location of virtual machines in the cloud, the default scheme of block allocation in HDFS does not fit well in the cloud environments behaving in two aspects: data reliability loss and performance degradation. In this paper, we present a novel location-aware data block allocation strategy (LDBAS). LDBAS jointly optimizes data reliability and performance for upper-layer applications by allocating data blocks according to the locations and different processing capacities of virtual nodes in the cloud. We apply LDBAS to two stages of data allocation of HDFS in the cloud (the initial data allocation and data recovery), and design the corresponding algorithms. Finally, we implement LDBAS into an actual Hadoop cluster and evaluate the performance with the benchmark suite BigDataBench. The experimental results show that LDBAS can guarantee the designed data reliability while reducing the job execution time of the I/O-intensive applications in Hadoop by 8.9% on average and up to 11.2% compared with the original Hadoop in the cloud.

• 한국통신학회논문지
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• 제38C권5호
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• pp.409-419
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• 2013

키넥트 카메라는 마이크로소프트사에서 2010년 11월에 출시한 xbox360의 움직임 감지 카메라로 깊이 영상과 색상 영상을 획득할 수 있다. 하지만 적외선 패턴을 이용한 깊이 영상의 획득 방법의 한계로 인해 객체의 경계 주변으로 홀(hole) 및 잡음이 생기고 영상으로 재생 시 경계 주변에서 흔들림(flickering) 현상이 발생한다. 본 논문에서는 이러한 흔들림 현상을 보정하여 화질이 좋은 가상 시점 영상을 실시간으로 생성하는 기법을 제안한다. 제안하는 기법에서는 먼저 결합형 양방향 필터를 이용하여 경계 주변의 홀을 채운다. 경계 주변의 흔들림 현상은 화소를 탐색하여 처리하는 기법을 적용하여 보정한다. 향상된 깊이 영상과 색상 영상에 3D 워핑(3D warping) 기법을 적용하여 가상 시점 영상을 획득한다. 획득된 영상에서 가려짐 영역(occlusion region)으로 인하여 생기는 홀은 블록기반의 기울기 탐색 기법과 블록의 신뢰도를 이용하여 채우게 된다. 실험을 통해 제안하는 시스템이 가상 시점 영상을 실시간으로 합성하는 것을 확인하였다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제15권5호
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• pp.1829-1846
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• 2021

Transient faults occur in computation units of a processor, which can cause control flow errors (CFEs) and compromise system reliability. The software-based methods perform illegal control flow detection by inserting redundant instructions and monitoring signature. However, the existing methods not only have drawbacks in terms of performance overhead, but also lack of configurability. We propose a configurable approach CCFCA for detecting CFEs. The configurability of CCFCA is implemented by analyzing the criticality of each region and tuning the detecting granularity. For critical regions, program blocks are divided according to space-time overhead and reliability constraints, so that protection intensity can be configured flexibly. For other regions, signature detection algorithms are only used in the first basic block and last basic block. This helps to improve the fault-tolerant efficiency of the CCFCA. At the same time, CCFCA also has the function of solving confusion and instruction self-detection. Our experimental results show that CCFCA incurs only 10.61% performance overhead on average for several C benchmark program and the average undetected error rate is only 9.29%. CCFCA has high error coverage and low overhead compared with similar algorithms. This helps to meet different cost requirements and reliability requirements.