• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• v.9 no.2
• /
• pp.701-704
• /
• 2005

PID controllers, which have been widely used in industry, have a simple structure and robustness to modeling error. But They are difficult to have uniformly good control performance in system parameters variation or different velocity command. In this paper, we propose a nonlinear adaptive PID controller based on a cell-mediated immune response and a gradient descent learning. This algorithm has a simple structure and robustness to system parameters variation. To verify performances of the proposed nonlinear adaptive PID controller, the speed control of nonlinear DC motor is performed. The simulation results show that the proposed control systems are effective in tracking a command velocity under system parameters variation.

• Proceedings of the Korean Institute of Intelligent Systems Conference
• /
• 2002.12a
• /
• pp.254-257
• /
• 2002

인터넷 보급의 확산과 전자상거래의 활성화와 유.무선 인터넷의 보급에 따른 악의적인 사이버 공격의 시도의 성공사례가 증가하고 있다. 미로 인해 점차 더 많은 문제가 야기될 것으로 예상된다. 현재 일반적인 인터넷상의 시스템은 악의적인 공격에 적절하게 대응해오지 못하고 있으며, 다른 범용의 시스템들도 기존의 백신 프로그램에 의존하며 그 공격에 대응해오고 있다. 따라서 새로운 침입에 대하여는 대처하기 힘든 단점을 가지고 있다. 본 논문에서는 생체 자율분산시스템의 일부분인 T세포의 positive selection과 negative selection을 이용한 자기/비자기 인식 알고리즘을 제안한다. 제안한 알고리즘은 네트워크 환경에서 침입탐지 시스템에 적용하여 기존에 알려진 침입뿐만 아니라 새로운 침입에 대해서도 대처할 수 있다

• Journal of the Korean Institute of Intelligent Systems
• /
• v.14 no.3
• /
• pp.279-284
• /
• 2004

Fingerprints have been widely used in the biometric authentication because of its performance, uniqueness and universality. Recently, the speed of identification becomes a very important point in the fingerprint-based security applications. Also, the reliability still remains the main issue in the fingerprint identification. In this paper, we propose the fast and reliable fingerprint matching algorithm based on the process of the 'self-nonself' discrimination in the biological immune system. The proposed algorithm is organized by two-matching stage. The 1st matching stage does the matching process by the use of the 'self-space' and MHC detector string set that are generated from the minutiae and the values of the directional field. Then the 2nd matching stage is made based on the local-structure of the minutiae. The proposed two matching stage reduces matching time while the reliability of the matching algorithm is maintained.

• Proceedings of the Korea Database Society Conference
• /
• 1999.06a
• /
• pp.373-379
• /
• 1999

This paper investigates the subject of intrusion detection over networks. Existing network-based IDS's are categorised into three groups and the overall architecture of each group is summarised and assessed. A new methodology to this problem is then presented, which is inspired by the human immune system and based on a novel artificial immune model. The architecture of the model is presented and its characteristics are compared with the requirements of network-based IDS's. The paper concludes that this new approach shows considerable promise for future network-based IDS's

• Proceedings of the Korea Inteligent Information System Society Conference
• /
• 1999.03a
• /
• pp.373-379
• /
• 1999

This pqer investigates the subject of intrusion detection over networks. Existing network-based IDS's are categorised into three groups and the overall architecture of each group is summarised and assessed. A new methodology to this problem is then presented, which is inspired by the human immune system and based on a novel artificial immune model. The architecture of the model is presented and its characteristics are compared with the requirements of network-based IDS's. The paper concludes that this new approach shows considerable promise for future network-based IDS's.

• Proceedings of the Korea Multimedia Society Conference
• /
• 1998.10a
• /
• pp.243-247
• /
• 1998

전자현미경 영상인 유방암 조직세포의 암 분포 정도를 알기 위해, 조직세포중 암이 퍼진 부분과 그렇지 않은 부분에 대해 정량적 분석과 세포수에 의한 분석을 비교하여 보았다. 유방암 조직세포의 면역조직화함염색에서 암이 있는 세포핵은 갈색으로 나타났고, 그렇지 않은 세포는 푸른색으로 나타났다. 이것은 환자를 진단하고 예지하는데 있어서 중요한 요인으로 작용하지만 지금까지는 의사의 주관적인 생각이 다분히 포함된 판단에 의존할 수 밖에 없었다. 의료영상이미지의 시각적 표현을 위해 RGB칼라를 HLS칼라로 변환하여 사용하였으며, 이것은 시각적으로 좀 더 쉽게 갈색세포핵과 푸픈색 세포핵을 구분하게 해 주었다. 두 세포핵을 분리하기 위해 히스트그램의 임계치와 Box classification의 두 알고리즘의 사용하여 추출하였다. 그리고 추출한 세포핵들에 대해 각각 정량적인 분석과 세포수에 의한 분석을 하였다. 이러한 실험은 시각적 병리정밀검사에 좋은 보조도구로 사용될 수 있을 것이다.

• The Transactions of the Korean Institute of Electrical Engineers D
• /
• v.51 no.8
• /
• pp.344-351
• /
• 2002

The proposed immune algorithm has an uncomplicated structure and memory-cell mechanism as the optimization algorithm which imitates the principle of humoral immune response. We use the proposed algorithm to solve parameter optimization problems. Up to now, the applications of immune algorithm have been optimization problems with non-varying system parameters. Therefore the usefulness of memory-cell mechanism in immune algorithm is without. This paper proposes the immune algorithm using a memory-cell mechanism which can be the application of system with nonlinear varying parameters. To verified performance of the proposed immune algorithm, the speed control of nonlinear DC motor are performed. The results of Computer simulations represent that the proposed immune algorithm shows a fast convergence speed and a good control performances under the varying system parameters.

• Journal of Korean Port Research
• /
• v.13 no.2
• /
• pp.389-398
• /
• 1999

In the biological immunity, the immune system of organisms regulates the antibody and T-cells to protect the attack from the foreign materials which are virus, germ cell, and other antigens, and supports their stable state. It has similar characteristics that has the adaptation and robustness to overcome disturbances and to control the plant of engineering application. In this paper, we build a model of the T-cell regulated immune response mechanism. We have also designed an immune response controller(IRC) focusing on the T-cell regulated immune response of the biological immune system that include both a help part to control the response and a suppress part to adjust system stabilization effect. We show some computer simulation to control the vibration of building structure system with strong wind forces excitation also demonstrate the efficiency of the proposed controller for applying a practical system even with existing nonlinear terms.

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
• /
• 1998.04a
• /
• pp.273-279
• /
• 1998

An immune system has powerful abilities such as memory, recognition and learning to respond to invading antigens, and is applied to many engineering algorithm recently. In this paper, the combined optimization algorithm is proposed for multi-optimization problem by introducing the capability of the immune system that controls the proliferation of clones to the genetic algorithm. The optimizing ability of the proposed optimization algorithm is identified by using two multi-peak functions which have many local optimums and optimization of the unbalance response function for rotor model.

• Journal of Information Technology Services
• /
• v.8 no.4
• /
• pp.129-140
• /
• 2009

The accurate estimation of software reliability is important to a successful development in software engineering. Until recent days, the models using regression analysis based on statistical algorithm and machine learning method have been used. However, this paper estimates the software reliability using support vector regression, a sort of machine learning technique. Also, it finds the best set of optimized parameters applying immune algorithm, changing the number of generations, memory cells, and allele. The proposed IA-SVR model outperforms some recent results reported in the literature.