• Journal of the Korean Society for Precision Engineering
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• v.16 no.2 s.95
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• pp.153-163
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• 1999

본 연구에서는 격자패널을 통한 소음전달을 감소시키기 위하여 외부 구조적 가진으로부터 유발된 경량 패널의 진동을 능동 제어하는 기법을 기술한다. 최적 되먹임제어기와 적응 앞먹임제어기가 결합된 혼합형 제어기가 진동제어기로 사용된다. 되먹임제어기는 주파수 영역의 모델규명법에 의해 추출된 다중 입/출력 패널진동계 모델에 대하여 LQG 최적기법을 이용하여 감쇠능을 향상시키도록 설계된다. 앞먹임제어기는 되먹임 궤환의 결합효과를 자동적으로 보정할 수 있는 제안된 학습법칙에 기초하여 패널의 잔류진동이 최소가 되도록 적응된다. 45.7${\times}$45.7${\times}$2.54 ${cm^3}$ 벌집형상의 고강도 패널, 4개의 관성형 구동기 및 이산신호처리장치에 의해 구현된 패널 진동계에 대한 능동제어 실험을 수행해 본 결과 600Hz 주파수대역에 대한 12dB 진동저감이 이루어 질 수 있었다.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.35 no.2B
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• pp.313-324
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• 2010

IPTV has been launched to provide a simple convergence service with broadcast and communication, and now it is evolving to support personalized service capabilities according to user's requirements. The paper presents DSON architecture and its control model to provide personalized features and user centric capability in IPTV services over service overlay network. Furthermore, the paper introduces DSON based service models on community IPTV and home IPTV service model.

• Journal of the Korea Society for Simulation
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• v.18 no.2
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• pp.77-89
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• 2009

Visual tracking technique is one of the essential things which are very important in the major fields of modern society. While contour tracking is especially necessary technique in the aspect of its fast performance with target's external contour information, it sometimes fails to track target motion because it is affected by the surrounding edges around target and weak egdes on the target boundary. To overcome these weak points, in this research it is suggested that PDMs can be obtained by generating the virtual 6-DOF motions of the mobile robot with a CCD camera and the image tracking system which is robust to the local minima around the target can be configured by constructing Active Shape Model in modular base. To show the effectiveness of the proposed method, the experiment is performed on the image stream obtained by a real mobile robot and the better performance is confirmed by comparing the experimental results with the ones of other major tracking techniques.

• The Transactions of the Korea Information Processing Society
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• v.4 no.8
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• pp.1907-1920
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• 1997

In this paper, we present integrated model of postal business that would be newly organized. The integrated model is developed through four phase. First, postal business is analyzed by three parts;collection, transportation and delivery. Second, the modeling criteria are developed that will be used for designing integrated postal business model. Third, object-oriented concepts are used by the steps of postal business modeling criteria captured. Finally, methods applied to developed model are grouped according to their function. Also, active-based mechanisms such as trigger and constraints are developed, and knowledge-based mechanisms such as inference are developed. These selected methods and attributes are encapsulated into objects. These constitute an object-active-knowledge based database model. Finally, Operational Scenario and Service Scenario are composed for real application according to proposed O-A-K model.

• Journal of Korea Multimedia Society
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• v.6 no.6
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• pp.968-976
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• 2003

In this paper, we propose a novel method for lip recognition. Lip model is built based on the concatenated gray level distribution model, and the recognition problem is simplified as the minimization problem of matching object function. The Down Hill Simplex Algorithm is used for the minimization with the proposed novel method for setting initial condition, which can refrain Iteration from converging to local minima. The proposed algorithm shows extracting lip shape from the test image where Active Shape Model fails.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2003.05a
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• pp.77-80
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• 2003

신경망의 퍼셉트론 학습법에는 이진 또는 연속 활성화 함수가 사용된다. 초기 연결강도는 임의의 값으로 설정하며, 목표치와 실제 출력과의 차이를 이용하는 것이 주된 특징이다. 즉 구해진 오차는 학습률에 따라서 다음 단계의 연결강도에 영향을 주게 된다. 이런 경우 학습률이 너무 크면 수렴성을 보장할 수 없으며, 반대로 너무 작게 선정하면 학습이 매우 느리게 진행되는 단점이 발생한다. 이런 이유로 능동적인 학습률의 변화는 신경망의 퍼셉트론 학습법에 중요한 관건이 리며, 주어진 문제를 최적으로 학습을 위해서는 결국 상황에 따른 적절한 학습률 조정이 필요하다. 본 논문에서는 학습률 조정에 퍼지 모델을 적용하는 신경망 학습 방법을 제안하고자 한다. 제안한 방법에 의한 학습은 오차의 변화에 따라 학습률을 조정하는 방식을 사용하였고, 그 결과 연결강도를 능동적으로 변화시켜 효과적인 학습 결과를 얻었다. 학습률 변화는 'Sugeno 퍼지 모델'을 이용하여 구현하였다.

• Proceedings of the Korea Information Processing Society Conference
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• 2005.11a
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• pp.1047-1050
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• 2005

현재의 수동적인 대응형 침입탐지 시스템의 문제를 해결하기 위해서 연구되고 있는 침입탐지 시스템이 능동 대응형 침입탐지 시스템이다. 본 논문에서는 능동 대응형 침입탐지 시스템을 설계 구현하기 위한 선행 연구로서 능동 대응을 위한 침입탐지 시스템의 요구사항을 7가지 구성요소로 고려하였고, 자동화 대응 실행 방법을 위해 프로토콜 접근과 스크립트 접근을 비교하였다. 또한 공격에 대한 능동 대응 방안으로 상호 협력적 구조와 NIDS와 ADS를 통합한 모델을 제시하였다.

• The KIPS Transactions:PartB
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• v.17B no.5
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• pp.375-380
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• 2010

Most of previous algorithms of object boundary extraction have been studied for extracting the boundary of single object. However, multiple objects are much common in the real image. The proposed algorithm of extracting the boundary of each of multiple objects has two steps. In the first step, we propose the fast method using the outer and inner products; the initial contour including multiple objects is split and connected and each of new contours includes only one object. In the second step, an improved active contour model is studied to extract the boundary of each object included each of contours. Experimental results with various test images have shown that our algorithm produces much better results than the previous algorithms.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.41 no.5
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• pp.1-11
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• 2004

In this paper we proposed a hierarchical ASM for real-time tracking of non-rigid objects. For tracking an object we used ASM for estimating object contour possibly with occlusion. Moreover, to reduce the processing time we used hierarchical approach for real-time tacking. In the next frame we estimated the initial feature point by using Kalman filter. We also added block matching algorithm for increasing accuracy of the estimation. The proposed hierarchical, prediction-based approach was proven to out perform the exiting non-hierarchical, non-prediction methods.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.41 no.5
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• pp.153-163
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• 2004

This paper presents a video tracking method for a deformable moving object using an active contour model in the image sequences. It is quite important to decide the local convergence directions of the contour points for correctly extracting the boundary of the moving object with deformable shape. For this purpose, an energy function for the active contour model is newly proposed by adding a directional energy term using a frame difference map to tile Greedy algorithm. In addition, an updating rule of tile frame difference map is developed to encourage the stable convergence of the contour points. Experimental results on a set of synthetic and real image sequences showed that the proposed method can fully track the deformable object while extracting the boundary of the object elaborately in every frame.