• International Journal of Contents
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• 제12권1호
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• pp.60-64
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• 2016

As new applications of cloud data management system (CDMS) such as online games, cooperation edit, social network, and so on, are increasing, transaction processing capabilities for CDMS are required. Several transaction processing methods for cloud data management system (CDMS) have been proposed. However, existing transaction processing methods have some problems. Some of them provide limited transaction processing capabilities. Some of them are hard to be integrated with existing CDMSs. In this paper, we proposed a new concurrency control method to support transaction processing capability for CDMS to solve these problems. The proposed method was designed and implemented based on Spark, an in-memory distributed processing framework. It uses RDD (Resilient Distributed Dataset) model to provide fault tolerant to data in the main memory. In our proposed method, database stored in CDMS is loaded to main memory managed by Spark. The loaded data set is then transformed to RDD. In addition, we proposed a multi-version concurrency control method through immutable characteristics of RDD. Finally, we performed experiments to show the feasibility of the proposed method.

• Nuclear Engineering and Technology
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• 제50권4호
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• pp.582-588
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• 2018

Accident diagnosis is one of the complex tasks for nuclear power plant (NPP) operators. In abnormal or emergency situations, the diagnostic activity of the NPP states is burdensome though necessary. Numerous computer-based methods and operator support systems have been suggested to address this problem. Among them, the recurrent neural network (RNN) has performed well at analyzing time series data. This study proposes an algorithm for accident diagnosis using long short-term memory (LSTM), which is a kind of RNN, which improves the limitation for time reflection. The algorithm consists of preprocessing, the LSTM network, and postprocessing. In the LSTM-based algorithm, preprocessed input variables are calculated to output the accident diagnosis results. The outputs are also postprocessed using softmax to determine the ranking of accident diagnosis results with probabilities. This algorithm was trained using a compact nuclear simulator for several accidents: a loss of coolant accident, a steam generator tube rupture, and a main steam line break. The trained algorithm was also tested to demonstrate the feasibility of diagnosing NPP accidents.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2007년도 심포지엄 논문집 정보 및 제어부문
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• pp.157-159
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• 2007

The conventional hard disk has been the dominant database storage system for over 25 years. Recently, hybrid systems which incorporate the advantages of flash memory into the conventional hard disks are considered to be the next dominant storage systems to support databases for desktops and server computers. Their features are satisfying the requirements like enhanced data I/O, energy consumption and reduced boot time, and they are sufficient to hybrid storage systems as major database storages. However, we need to improve traditional index node management schemes based on B-Tree due to the relatively slow characteristics of hard disk operations, as compared to flash memory. In order to achieve this goal, we propose a new index node management scheme called FNC-Tree. FNC-Tree-based index node management enhanced search and update performance by caching data objects in unused free area of flash leaf nodes to reduce slow hard disk I/Os in index access processes.

• 전기의세계
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• 제26권1호
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• pp.71-76
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• 1977

It has been expected that the 4th generation computers will be characterized for their problem adaptability. There are few techniques of implementing such a characteristic. One of the techniques that one have considered in this paper the user microprogrammable computer architecture. There are two different computer architectures that support user microprogramming. One uses the writeable control storage and another uses the main memory. The concept of utilizing writeable control storage for microprogramming was developed in 1950's and since then the most of the user microprogrammable computers produced belong to such category. The concept of utilizing the main memory for user microprogramming was first introduced by Thomas in 1973. This architecture has a strong advantage in the aspect of the system cost. In this paper, we have developed a user microprogrammable computer. The computer utilizes the main memory for user microprograms. It employs a 32 bit micro-instruction word in the form of the little encoded. The performance of the developed machine will be evaluated in the hard ware cost, programming easiness and the running time.

• 대한인간공학회지
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• 제26권3호
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• pp.11-16
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• 2007

Viewers remember seeing more of the scene than was present in the physical input: an illusion known as boundary extension. This study examined the aspects of the distortion by presenting 69 subjects with wide-angle views of four scenes. Results of recognition and reproduction test showed that the boundary extension is not a unidirectional phenomenon. On the contrary, boundary restriction and foreground extension were observed with extreme wide-angle views of scenes. Results support the hypothesis that boundary restriction and foreground extension were mediated by the activation of a memory schema during picture perception.

• 정보저장시스템학회논문집
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• 제6권2호
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• pp.41-46
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• 2010

Recently, Flash Memory Drives are one of the best media to support portable and desktop computers' storage devices. Their features include non-volatility, low power consumption, and fast access time for read operations, which are sufficient to present flash memories as major database storage components for desktop and server computers. However, we need to improve traditional storage management schemes based on HDD(Hard Disk Drive) and RAID(Redundant Array of Independent Disks) due to the relatively slow or freezing characteristics of write operations of SSDs, as compared to fast read operations. In order to achieve this goal, we propose a new storage management scheme called Hetero-Mirroring based on traditional HDD mirroring scheme. Hetero-Mirroring-based storage management improves RAID-1 operation performance by balancing write-workloads and delaying write operations to avoid SSD freezing.

• 대한전기학회논문지:시스템및제어부문D
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• 제53권8호
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• pp.578-584
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• 2004

The CSVM(Current Support Vector Machine) that is a digital architecture performing all phases of recognition process including kernel computing, learning, and recall of SVM(Support Vector Machine) on a chip is proposed. Concurrent operation by parallel architecture of elements generates high speed and throughput. The classification problems of bio data having high dimension are solved fast and easily using the CSVM. Quadratic programming in original SVM learning algorithm is not suitable for hardware implementation, due to its complexity and large memory consumption. Hardware-friendly SVM learning algorithms, kernel adatron and kernel perceptron, are embedded on a chip. Experiments on fixed-point algorithm having quantization error are performed and their results are compared with floating-point algorithm. CSVM implemented on FPGA chip generates fast and accurate results on high dimensional cancer data.

• Journal of the Korean Data and Information Science Society
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• 제14권3호
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• pp.451-459
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• 2003

The present paper suggests a method to estimate confidence interval using SV(Support Vector) in LS-SVM(Least-Squares Support Vector Machine). To get the proposed method we used the fact that the values of the hessian matrix obtained by full data set and SV are not different significantly. Since the suggested method implement only SV, a part of full data, we can save computing time and memory space. Through simulation study we justified the proposed method.

• 전자공학회논문지
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• 제50권2호
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• pp.114-121
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• 2013

Systems-On-Chips(SoC)에서 내장 메모리가 차지하는 비중은 비약적으로 증가하여 전체 트랜지스터 수의 80%~90%를 차지하고 있어, SoC에서 내장된 메모리에 대한 테스트 중요성이 증가하고 있다. 본 논문은 다양한 테스트 알고리즘을 지원하는 IEEE 1500 래퍼 기반의 프로그램 가능한 메모리 내장 자체 테스트(PMBIST) 구조를 제안한다. 제안하는 PMBIST는 March 알고리즘 및 Walking, Galloping과 같은 non-March 알고리즘을 지원하여 높은 flexibility, programmability 및 고장 검출률을 보장한다. PMBIST는 최적화된 프로그램 명령어와 작은 프로그램 메모리에 의해 최적의 하드웨어 오버헤드를 가진다. 또한 제안된 고장 정보 처리 기술은 수리와 고장 진단을 위해 2개의 진단 방법을 효과적으로 지원하여 메모리의 수율 향상을 보장한다.

• 정보처리학회논문지A
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• 제13A권4호
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• pp.295-304
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• 2006

자바 언어는 객체지향성, 안전성, 유연성으로 인하여 현재 가장 널리 쓰이는 프로그래밍 언어의 하나가 되었으며, 자바 가상머신이 제공해주는 메모리 관리기 및 가비지 컬렉터로 인하여 프로그래머는 메모리 관리에 관한 많은 고민이 줄어들었다. 본 논문에서는 임베디드용 자바 가상 머신에서 구현된 메모리 관리기 및 가비지 컬렉터에 대해서 제안한다. 메모리 관리기는 힘을 다양한 크기의 셀로 분할한 후 통일한 셀의 집단인 블록 단위로 관리하여 빠른 메모리 할당과 해제가 가능하다. 가비지 컬렉션 방법으로는 3-색상 기반 표기-쓸어담기 가비지 컬렉터를 기반 알고리즘으로 채택하였으며 멀티쓰레드를 지원하기 위해 새로운 4-색상 기반 표기-쓸어 담기 가비지 컬렉터를 제안한다. 제안하는 기법은 메모리 단편화가 발생하지만 객체 생성수가 많아짐에 따라 단편화율이 거의 일정함을 실험을 통해 보인다.