• The Journal of Korean Institute of Communications and Information Sciences
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• v.22 no.7
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• pp.1403-1410
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• 1997

Because streaming mode connection server suitable to wide area ATM networks performs transmission, reception and lookup with time restriction for the transmission time of a cell, it has demerits of large cell loss incase that burst traffic occurs. Therefore, in this paper to decrease cell loss we propose a high speed CAM (Content Addressable Memory) which is capable of processing data of streaming mode connections server at a high speed. the proposed CAM is applied to forwarding table VPC map which performs function to output connection numbers about input VPI(Virtual Path Identifier)/VCI(Virtual Channel Identifier). The designed high speed CAM consist of DBL(Dual Bit Line) CAM structure performed independently write operation and match operation and two-port SRAM structure. Also, its simulation verification and full-custom layout is performed by Hspice and Composs tools in 0.8 .$\mu$m design rule.

• Proceedings of the KIEE Conference
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• 1998.07b
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• pp.588-591
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• 1998

In this paper, we present a robust adaptive backstepping output feedback controller for nonlinear systems perturbed by unmodelled dynamics and disturbances. Especially, backstepping technique with modular approach is used to separately design controller and identifier. The design of identifier is based on the observer-based scheme which possesses a strict passivity property of observer error system. We will use Switching-${\sigma}$ modification at the update law and the modified control law to attenuate the effects of undodelled dynamics and disturbances for nonlinear systems.

• Journal of the Semiconductor & Display Technology
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• v.16 no.1
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• pp.6-10
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• 2017

Recent enhancement in the still image acquisition devices has been widely perpetrated into the daily life of the common people. Due to this trend, the voluminous still images, that are produced and shared in the personal or the massive storage, need to controlled with effective and efficient management. The human-devised or system-generated still image identifiers used for the identification of the images are at risk in the situation of unexpected changing or eliminating of the identifiers. In this paper, we propose a parallel processing based method for still image identifier generation by utilizing the still image internal features.

• Electronics and Telecommunications Trends
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• v.28 no.3
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• pp.95-105
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• 2013

현재의 인터넷은 라우팅과 어드레싱에 대한 심각한 확장성 문제를 가지고 있다. 이러한 확장성의 가장 큰 원인은 멀티호밍, 트래픽 엔지니어링, 집적되지 못하는 주소 할당 등이며, 이로 인하여 백본 지역의 라우팅 테이블 크기가 기하급수적으로 증가하는 현상을 보이고 있다. 또한 현재의 IP 주소는 호스트의 식별자와 위치자의 의미를 함께 사용하기 때문에 호스트의 이동성 및 멀티호밍을 지원하는 데 한계점이 있다. 이러한 현재 인터넷의 문제점 해결 방안으로 식별자와 위치자 분리 구조가 연구되고 있다. 본고에서는 식별자와 위치자 분리 구조에서 필수적으로 요구되는 식별자와 위치자 간의 매핑 시스템에 관한 연구들을 소개하고 각각의 장단점을 분석한다. 본고에서는 현재 인터넷 기반의 대표적 식별자와 위치자 분리 구조 중 IETF(Internet Engineering Task Force)에서 잘 알려진 LISP(Locator Identifier Separation Protocol), HIP(Host Identity Protocol), ILNP(Identifier Locator Network Protocol)에서 제안하는 매핑 시스템들과 미래인터넷 기반의 대표적 식별자와 위치자 분리 구조 중 미국의 MobilityFirst와 한국의 MOFI(Mobile-Oriented Future Internet)에서 제안하는 매핑 시스템들을 중점적으로 소개한다.

• Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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• 2004.03a
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• pp.17-22
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• 2004

지형지물 유일식별자(UFID: Unique Feature Identifier)는 주민등록번호처럼 우리나라의 국토를 구성하고 있는 도로, 건물 및 하천 등의 모든 인공적 및 자연적 지형지물에 단일식별자를 부여함으로써 해당 지형지물을 관리하는 기관은 물론, 물류, 금융 등 각종 산업 분야에 매우 중요한 역할을 하게 된다. 따라서 본 논문에서는 국가기본지리정보에 지형지물 유일식별자를 생성 및 소멸, 검수 그리고 부여하는 방법을 제시하였다. 그리고, 국가기본지리정보를 위한 지형지물 유일식별자 관리시스템을 설계하고 구현하였으며, 서로 다른 두 데이터베이스간에 이루어지는 지형지물의 삽입, 삭제 그리고 갱신 등을 지형지물 유일식 별자를 통하여 연계하는 방안을 설계하여 제시하였다. 본 논문에서 제안한 시스템은 통신, 가스, 전략 등의 기관에 확대하여 적용이 가능할 것이다.

• Proceedings of the KIEE Conference
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• 1995.07b
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• pp.804-806
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• 1995

This paper discusses Self-organized Distributed Networks(SODN) as identifier of nonlinear dynamical systems. The structure of system identification employs series-parallel model. The identification procedure is based on a discrete-time formulation. The learning with the proposed SODN is fast and precise. Such properties arc caused from the local learning mechanism. Each local networks learns only data in a subregion. Large number of memory requirements and low generalization capability for the untrained region, which are drawbacks of conventional local network learning, are overcomed in the SODN. Through extensive simulation, SODN is shown to be effective for identification of nonlinear dynamical systems.

• Journal of the Korean Institute of Intelligent Systems
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• v.13 no.5
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• pp.606-613
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• 2003

As a technical method for controlling chaotic dynamics, this paper presents a predictive control for chaotic systems based on radial basis function networks(RBFNs). To control the chaotic systems, we employ an on-line identification unit and a nonlinear feedback controller, where the RBFN identifier is based on a suitable NARMA real-time modeling method and the controller is predictive control scheme. In our design method, the identifier and controller are most conveniently implemented using a gradient-descent procedure that represents a generalization of the least mean square(LMS) algorithm. Also, we introduce a projection matrix to determine the control input, which decreases the control performance function very rapidly. And the effectiveness and feasibility of the proposed control method is demonstrated with application to the continuous-time and discrete-time chaotic nonlinear system.

• Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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• 2008.06a
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• pp.3-9
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• 2008

최근 유비쿼터스(ubiquitous), 네비게이션(navigation), 위치기반서비스(Location Based Service) 등의 발전으로 공간정보에 대한 욕구가 증가하고, 나아가 사용자의 환경에 구애받지 않고 공간정보를 제공하는 서비스가 발전하고 있다. 그러나 현재 우리나라는 표준화된 식별자가 없이 정부 부처별 또는 지방자치단체로 공간정보 특히, 그 필요성이 높은 건축물을 DB로 구축 관리하고 있어, 이들 시스템의 고유번호를 건축물 유일식별자로 활용하는데 한계가 있다. 또한 여러 지형지물 식별차도 개별 업무 및 DB관리를 위하여 부여된 측면이 있어 건축물 유일식별자로는 적당치 않았다. 따라서 본 연구에서는 국가 차원의 건축물 유일식별자의 필요성을 제기하고, 이들 유일식자 관리시스템을 난립한 건축물 고유번호를 상호적으로 변환하는 시스템으로 활용할 것을 제안한다.

• Speech Sciences
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• v.14 no.2
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• pp.105-114
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• 2007

The performance of speaker identifier is severely degraded in noisy environments. A study suggested the concept of observation membership for enhancing performances of speaker identifier with noisy speech [1]. The method scaled observation probabilities of input speech by observation identification values decided by SNR. In the paper [1], the authors suggested heuristic parameter values for membership function. In this paper we attempt to apply particle swarm optimization (PSO) for obtaining the optimal parameters for speaker identification in noisy environments. With the speaker identification experiments using the ETRI database we prove that the optimization approach can yield better performance than using only the original membership function.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 1993.06a
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• pp.1021-1024
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• 1993

System identification is a major component for a control system. In biosystems, which is nonlinear and dynamic, precise identification would be very helpful for implementing a control system. It is difficult to precisely identify such non-linear systems. The measurable data on products from 2,3-butanediol fermentation could not be included in a process model based on kinetic approach. Meanwhile, a predictive capability is required in developing a control system. A neural network (NN) dynamic identifier with a by/(1＋ t ) transfer function was therefore designed being able to predict this fermentation. This modified inverse NN identifier differs from traditional models in which it is not only able to see but also able to predict the system. A moving window, with a dimension of 11 and a fixed data size of seven, was properly designed. One-step ahead identification/prediction by an 11-3-1 BPNN is demonstrated. Even under process fault, this neural network is still able to perform several-step ahead prediction.