• IE interfaces
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• v.15 no.2
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• pp.182-188
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• 2002

Clustering is widely used in various fields in order to investigate structural characteristics of the given data. One of the main tasks of clustering is to partition a set of objects into homogeneous groups for the purpose of data reduction. In this paper a simple but computationally efficient clustering procedure is devised and some statistical techniques to validate its clustered results are discussed. In the given procedure, the proper number of clusters and the clustered groups can be determined simultaneously. The whole procedure is applied to a practical clustering problem for the classification of reusable fuels in nuclear power plants.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2019.11a
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• pp.256-258
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• 2019

최근 MPEG-Immersive 표준화 그룹에서는 여러 위치에 존재하는 다수의 360 영상을 취득하고 처리하여 사용자에게 제한적인 화면 전환 이동에 따른 운동 시차(motion parallex)를 제공하는 3 degrees of freedom plus (3DoF+) 기술에 관한 표준화가 진행되고 있다. 이러한 3DoF+ 표준화 기술에서의 압축은 기존의 HEVC 코덱을 사용하나, 현재 존재하는 360 영상 사용자 시점 기반 스트리밍 기법을 3DoF+ 스트리밍에 적용하기 위해서는 기존의 360 영상과 다르게 영상 서로 간의 참조과정으로 인한 의존성으로 문제가 존재한다. 본 논문에서는 해당 문제점을 서술하고, MCTS(Motion-Constrained Tile Set)를 사용하여 보다 적은 디코더와 사용자 시점에 맞게 효율적으로 영상을 전송할 수 있는 MCTS 기반 타일 그룹 분할 방법을 제안한다.

• Proceedings of the Korean Information Science Society Conference
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• 2007.06d
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• pp.285-289
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• 2007

IEEE 802.11 프로토콜은 근거리 네트워크인 LAN(Local Area Network)을 대상으로 한다. 네트워크를 구성하는 하나의 BSS(Basic Service Set)는 보통 제한된 규모의 크기를 가지며 그 안에 속한 스테이션(station)의 수는 수십 개 내외로 가정한다. 하지만 지능형 교통 시스템과 같은 대규모의 네트워크에서 하나의 AP(Access Point)가 담당하는 BSS의 크기는 수 Km에 달하며 그 안에 속한 스테이션의 수도 수백개에 달한다. 이러한 고속 이동성과 대규모의 스테이션 수를 특징으로 하는 네트워크를 지원하기 위해 기존의 802.11 프로토콜은 적합하지 않다. 본 논문에서는 대규모 고속 이동 스테이션들이 존재하는 네트워크를 지원할 수 있는 802.11 기반의 그룹화 메커니즘을 제안한다. 하나의 BSS 내에서 경쟁하는 스테이션의 수를 그룹화 하여 경쟁의 정도를 완화함으로써 성능을 개선한다. 기존의 802.11 프로토콜 성능을 수학적 모델로 평가하였던 [1]과 제안한 그룹화 메커니즘을 도입하였을 경우의 성능을 수학적으로 비교 분석한 결과 그룹화를 통해 최대 187%의 성능 향상을 가져올 수 있음을 보였다.

• Journal of the Korea Computer Industry Society
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• v.5 no.1
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• pp.1-8
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• 2004

As more and more information is processed and stored in the digital form, many techniques and systems have been developed for service multimedia informations in wireless internet. In this paper, we propose MSPOB(Multimedia Statistics Post Office Box) structure for service datum which are related with similarity to subject a set of documents through grouping. The proposed structure is determined by relationship of datum based on count index and inverted file and is determined it through the semantic similarity between objects

• Proceedings of the Korean Nuclear Society Conference
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• 1996.05b
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• pp.271-276
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• 1996

Coolant flow distribution to the assemblies and core coolant/component temperatures should be determined in LMR core steady state thermal-hydraulic performance analysis. Sodium flow is distributed to core assemblies with the overall goal of equalizing the peak cladding midwall temperatures for the peak temperature pin of each pin bundle, thus pin cladding damage accrual and pin reliability. The flow orificing analysis for conceptual design will be performed with Excel spreadsheet program ORFCE which was set up and tested, using the calibration factors based on available analyses data. For the verification of this program, flow orificing calculation for the MDP 840MWth core was performed. The calculational results are satisfactory compared to those of CRIEPI calculation.

• Biomedical Science Letters
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• v.11 no.3
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• pp.289-293
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• 2005

Two housekeeping genes, of Listeria monocytogenes dat and hlyA, were analyzed in a set of 28 isolates from different sources to estimate their genetic diversities. These strains were previously characterized by pulsed-field gel electrophoresis. Complete gene sequences for dat (465 bp) and hlyA (584 bp) had sequence similarity of $99.87-100\%$ S and $99.96-100\%$ S among isolates, respectively. Also, we found that the numbers of sequence types (ST) were about 3-fold less than those of PFGE types (3 STs versus 11 PFGE types). There was, however, a good correlation between the PFGE patterns and phylogenetic grouping of two gene sequences among the isolates. Further studies on analyzing additional loci would increase the discriminatory power of sequence typing for L. monocytogenes strains.

• Proceedings of the KIEE Conference
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• 1998.11b
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• pp.672-674
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• 1998

Java virtual machine has the garbage collector that automate memory management. Mark-compact algorithm is one of the garbage collection algorithm that operating in 2 phases, marking and sweeping. One is Marking is marking live objects reachable from root object set. Sweeping is sweeping unmarked object from memory(return to free memory pool). This algorithm is easy to implement but cause a memory fragmentation. So compacting memory, before memory defragmentation become serious. When compacting memory, all other processes are suspended. It is critical for embedded system that must guarantee real-time processing. This paper introduce enhanced mark-compact garbage collection algorithm. Grouping the objects by their size that minimize memory fragmentation. Then apply smart algorithm to the grouped objects when allocating objects and compacting memory.

• The Korean Journal of Applied Statistics
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• v.18 no.3
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• pp.543-553
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• 2005

Linear logistic regression is one of the most widely used method for credit scoring in credit risk management. This paper deals with credit scoring using splines based on Logistic regression. Linear splines and an automatic basis selection algorithm are adopted. The final model is an example of the generalized additive model. A simulation using a real data set is used to illustrate the performance of the spline method.

• The Transactions of the Korean Institute of Electrical Engineers
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• v.36 no.11
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• pp.769-776
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• 1987

This paper deals with the topological observability analysis and the development of an observable island identification algorithm for state estimation in power systems, by using the incidence matrix and bus voltage grouping. An analogy of the DC power flow method to the DC circuit analysis is introduced, and all the relationships between power flows and phase angles are replaced by the corresponding current-voltage relation. As a result, a set of topological measurement equation expressed in the form of the incidince matrix is derived for the topological analysis, and the observability test is carried out by examining the rand of the measuremint matrix. The integer Gauss elimination method is introduced in the determination of matrix rand, so that the proposed observability test yields a precise observability criterion without any nearly-zero pivot problem encountered in the conventional algorithm. Also, an observable island identification algorithm reduced its computational time in comparision with the conventional algorithms. The proposed algorithms have been tested for sample systems, and their practicability has verified.

• IE interfaces
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• v.11 no.2
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• pp.119-124
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• 1998

This paper proposes a new part family classification system (IPFACS: Image Processing and Fuzzy ART based Clustering System), which incorporates image processing techniques and a modified fuzzy ART neural network algorithm. IPFACS can classify parts based on geometrical shape and manufacturing attributes, simultaneously. With a proper reduction and normalization of an image data through the image processing methods and adding method in the modified Fuzzy ART, different types of geometrical shape data and manufacturing attribute data can be simultaneously classified in the same system. IPFACS has been tested for an example set of hypothetical parts. The results show that IPFACS provides a good feasible approach to form families based on both geometrical shape and manufacturing attributes.