• Korean Architects
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• s.468
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• pp.60-65
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• 2008

• Electronics and Telecommunications Trends
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• v.9 no.3
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• pp.55-67
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• 1994

본고는 7년여에 걸쳐 수행된 주전산기 II, III 프로젝트를 통하여 습득한, CAD 시스템을 이용한 하드웨어 설계 기법 및 주전산기 설계 환경에 대해 기술한다. 특히 주전산기 III와 같은 큰 규모의 컴퓨터 시스템 설계 분야에 국내 최초로 적용된 고급 언어와 로직 합성 기법을 이용한 FPGA 및 ASIC 설계 기법에 대해 상세히 기술한다. 아울러 새로운 주전산기 IV에 적합하도록 개선된 하드웨어 설계 환경을 주전산기 II, III 수행시의 환경과 비교, 설명한다. 이로써 하드웨어 구현 부품 및 관련 기술의 변화를 적극 수용하는 CAD 시스템의 진화 과정을 보인다.

• The Transactions of the Korea Information Processing Society
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• v.7 no.12
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• pp.3753-3761
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• 2000

There exist several versions of schema and instances created under different versions of the schema concurrently in the database in schema evolution environments. This paper proposes a mechanism for accessing instances regardless of versions in schema evolution environments in object relational databases. Access handling routines are used in accessing to the instances through the undefined attributes in the versions in which they were created. The change of semantic information of attributes is supported. Access handling routines are defined for each pair of semantics rather than defining backdate/update functions for each pair of versions of a class. A query language that accommodates version and semantic information is defined through the extension of the primitive SQL format.

• Journal of the Korean Institute of Intelligent Systems
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• v.22 no.1
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• pp.81-86
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• 2012

In this paper, we proposed a new design methodology of a pattern classification rule based on the local linear discriminant analysis expanded from the generic linear discriminant analysis which is used in the local area divided from the whole input space. There are two ways such as k-Means clustering method and the differential evolutionary algorithm to partition the whole input space into the several local areas. K-Means clustering method is the one of the unsupervised clustering methods and the differential evolutionary algorithm is the one of the optimization algorithms. In addition, the experimental application covers a comparative analysis including several previously commonly encountered methods.

• Journal of Digital Contents Society
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• v.15 no.3
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• pp.327-338
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• 2014

This study proposes the evolution model of emerging media platform including smart media (M-IPTV, Smart TV) and IPTV, through a spiral evolution model based on the theory of the exploration & the exploitation. Authors suppose that the IP media evolved from IPTV technology, evolution of which has come through the development model of serial circular process. For explanation of this evolution, we propose the research model integrating the spiral model and the exploration & exploitation theory. Researchers define the smart media as the evolved media from IPTV, through this proposed model. We expect this model to be the theoretical base of media regulation and setting direction of future media service. Thus, this research are summed up as follows. To begin with, we classify the evolutionary stage of IPTV from the view points of service feature, regulation frame and technological characters. Secondly, we organize and confirm the research model of IPTV evolution through case analysis of the 3 cycles of each evolutionary stage. As a result, discussion of this study helps understanding mobile IP media and smart media as a post IPTV and leads the solution of various regulation issues and the development of the innovative media service and content. In addition, it can guide the government for the evolutionary direction to promote the media and the content industry.

• Proceedings of the Korean Information Science Society Conference
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• 2003.10c
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• pp.376-378
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• 2003

Internet의 확대와 망의 진화에 따라 현 통신 방식은 기존 회선 교환 방식에서 패킷 교환 방식으로 진화를 한다. NGN(Next Generation Network)이란 정확하게 정의를 내리기는 어렵지만, 개념적으로는 현존하는 모든 서비스(Voice, Data, Video 등)들과 미래에 나타날 멀티 서비스를 통합하여 수용할 수 있는 패킷 기반의 통신망을 의미한다. 이러한 개념은 망의 통합을 목적으로 하는 NGcN(Next Generation Convergence Network, 이하 NGcN)로 진화하고 있다. 하지만, 진정한 의미의 NGcN은 Legacy 회선 교환 방식(include Wireless Network)과 패킷 교환 방식의 모든 망 사용자에게 동일한 서비스를 제공하는 것이며, 이것은 Convergence Service라는 개념으로 정리를 할 수 있다. 본 논문에서는 이와 같은 접근을 Next Generation Convergence Service(이하 NGcS)로 정의를 한다. 논문에서는 NGcS 구축을 위해 지능망 서비스와 연계하여 접근을 할 것이며, INAP(Intelligent Network Application Protocol), WIN(Wireless Intelligent Network) 및 CAP(CAMEL Application Part) 등의 제어방식에 근거한다. 이러한 방식들에 대한 연동에 대해 논하며, NGcS 구축을 위한 Service Switching Function 설계 방법과 서비스를 트리거(Trigger)하기 위한 방법에 대해 논한다.

• Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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• 2004.11a
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• pp.703-706
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• 2004

공정기술의 발달과 컴퓨터 구조적인 발전에 의해서, 시스템의 동작속도가 기하급수적으로 증가하고 있다. 동작속도의 증가는 CMOS로 구현된 chip의 RC 특성에 의해서 timing variation 문제가 발생할 가능성이 높아지면서 테스트 비용이 전체 설계비용에서 차지하게 되는 비중이 급격하게 증가하고 있다. 따라서 온라인 테스트와 진화하드웨어 등이 테스트 비용감소를 위해서 연구되고 있다. 본 논문에서는 네트워크프로세서의 생존성을 위해서, 패킷엔진의 pipline의 각 stage사이의 clock slack borrowing을 이용해서 timing variation 문제를 자체적으로 해결할 수 있다는 것을 mixed-mode simulation을 통해서 통합 검증하였다. 또한 기존의 off-chip 진화하드웨어에 비해서 on-chip구현을 통해서 진화하드웨어의 성능향상과 메모리에 의해서 발생하는 overhead를 감소시키는 것이 가능함을 확인했다.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2000.11a
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• pp.369-372
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• 2000

ESO(Evolutionary Structural Optimization) method is known that elements involved low stress value are removed from the previous model or that elements are added around elements involved high stress level on it and then the optimized model is obtained with required weight. Rejection ratio/addition ratio and evolutionary ratio are predefined and elements having lower/higher stress than reference stress, which average Mises stress on edge elements times rejection ratio, are deleted/added. In this study, when the plate having a cutout is subjected various in-plane load, a cutout shape is optimized using ESO method. ANSYS is used to analyse a finite element model and optimization procedure is made by APDL (ANSYS Parametric Design Language). ESO method is useful in rather than a complex structure optimization as well as a cutout shape optimization.

• Journal of the Korea Society of Computer and Information
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• v.1 no.1
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• pp.159-170
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• 1996

In this paper, we propose a generating method for the optimal rules for the nonlinear control system using evolution algorithms and fuzzy controller. With the aid of evolution algorithms optimal rules of fuzzy logic system can be automatic designed without human expert's priori experience and. knowledge. and ran be intelligent control. The approachpresented here generating rules by self-tuning the parameters of membership functions and searchs the optimal control rules based on a fitness value which Is tile defined performance criterion. Computer simulations demonstrates the usefulness of the proposed method In non -linear systems.

• Journal of Intelligence and Information Systems
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• v.1 no.2
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• pp.73-83
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• 1995

In this paper, we propose a generating method for the optimal rules of the fuzzy rule base using evolution algorithms. With the aid of evolution algorithms optimal rules of fuzzy logic system can be automatic designed without human expert's priori experience and knowledge. can be intelligent control. The a, pp.oach presented here generating rules by self-tuning the parameters of membership functions and searchs the optimal control rules based on a fitness value which is the defined performance criterion. Computer simulations demonstrates the usefulness of the proposed method in non-linear systems.