• Journal of international Conference on Electrical Machines and Systems
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• v.3 no.2
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• pp.184-189
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• 2014

In this paper, a new design method of vibration suppression controller for multi-inertia (especially, 3-ineritia) resonance systems is proposed. The controller consists of a digital fuzzy controller for speed loop and a digital PI controller for current minor loop. The three scaling factor of the fuzzy controller and two PI controller gains are determined by Differential Evolution (DE). The DE is one of optimization techniques and a kind of evolutionary computation technique. In this paper, we have applied the DE/rand/1/bin strategy to design the optimal controller parameters. Comparing with the conventional design algorithm, the proposed method is able to shorten the time of the controller design to a large extent and to obtain accurate results. Finally, we confirmed the effectiveness of the proposal method by the computer simulations.

• Journal of Institute of Control, Robotics and Systems
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• v.7 no.1
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• pp.1155-1161
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• 2001

We propose an adaptive nonlinear control algorithm for high precision tracking and stabilization of LOS(Line-of-Sight). The friction parameters of the LOS gimbal are estimated by off-line evolutionary strategy and the friction is compensated by estimated friction compensator. Especially, as the nonlinear control input in a small tracking error zone is enlarged by the nonlinear function, the steady state error is significantly reduced. The proposed algorithm is a direct adaptive control method based on the Lyapunov stability theory, and its convergence is guaranteed under the limited modeling error or torque disturbance. The performance of the pro-posed algorithm is verified by computer simulation on the LOS gimbal model of a moving vehicle.

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

• Journal of Advanced Marine Engineering and Technology
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• v.25 no.2
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• pp.383-394
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• 2001

The stabilization control of inverted pendulum (IP) system is difficult because of its nonlinearity and structural unstability. In this paper, an Evolving Neural Network Controller (ENNC) without Error Back Propagation (EBP) is presented. An ENNC is described simply by genetic representation using an encoding strategy for types and slope values of each active functions, biases, weights and so on. By an evolutionary programming which has three genetic operation; selection, crossover and mutation, the predetermine controller is optimally evolved by updating simultaneously the connection patterns and weights of the neural networks. The performances of the proposed ENNC(PENNC)are compared with the one of conventional optimal controller and the conventional evolving neural network controller (CENNC) through the simulation and experimental results. And we showed that the finally optimized PENNC was very useful in the stabilization control of an IP system.

• Journal of Korean Society for Quality Management
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• v.32 no.3
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• pp.166-181
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• 2004

The aircraft production quality management system in Korea has been implemented to support the developmental phase of Korean aircraft industries, from overhaul of the aircraft and engines to development of military trainer aircraft. After the deletion of the Mil-Q-9858A standard in 1996, Korean aerospace companies established ISO 9001 and AS 9100 as their basic aerospace quality management system specifications. These quality standards were adopted in the same period of time by other leading international aircraft manufacturing companies. This paper presents a future direction on the improvement of quality management systems for Korean aircraft production company by considering (1) Korean governments strategy for the development of Korean aircraft Production industries, (2) short and long term business plan of Korean aerospace industries, and (3) benchmarking leading international company's quality management systems.

• 제어로봇시스템학회:학술대회논문집
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• 2005.06a
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• pp.1524-1529
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• 2005

Particle filter is a kind of conditional density propagation model. Its similar characteristics to both selection and mutation operator of evolutionary strategy (ES) due to its Bayesian inference rule structure, shows better performance than any other tracking algorithms. When a new object is entering the region of interest, particle filter sets which have been swarming around the existing objects have to move and track the new one instantaneously. Moreover, there is another problem that it could not track multiple objects well if they were moving away from each other after having been overlapped. To resolve reinitialization problem, we use competitive-AVQ algorithm of neural network. And we regard interfarme difference (IFD) of background images as potential field and give priority to the particles according to this IFD to track multiple objects independently. In this paper, we showed that the possibility of real-time object tracking as intelligent interfaces by simulating the deformable contour particle filters.

• Journal of Information Technology Applications and Management
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• v.17 no.3
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• pp.25-41
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• 2010

F&B(food and beverage) in accommodation industry is a key service that determine the satisfaction of customers in tourism industry. As the importance of the management of quality gets increasingly highlighted in service industry, the innovation in the management of service quality and satisfaction in tourism industry is gaining high attention. In this research, we focused on the improvement and innovation of the management of procurement process for F&B service based on the smart use of information technology. A case and scenario analysis of the improvements in the management of procurement process is performed focusing on a medium-size accommodation business. Future opportunities and potential of further IT-based innovation is discussed.

• 제어로봇시스템학회:학술대회논문집
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• 2002.10a
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• pp.70.1-70
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• 2002

In the fuzzy applications and theories, it is very important to consider how to design the optimal fuzzy model from short training data, in order to construct the reasonable fuzzy model for identifying the practical process. There are several concerns to be confirmed for efficient fuzzy model design. One of concern is the optimization problem of the fuzzy model. In various applications, the genetic algorithm is widely applied to obtain optimal fuzzy model and other cases that adopt evolutionary mechanism of the nature. If we use natural selection and multiplication operation of the genetic algorithm, early convergence to local minimum can be occurred. In other word, we can find only optimum...

• 한국HCI학회:학술대회논문집
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• 2006.02b
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• pp.789-794
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• 2006

UI (User Interface)는 끊임없이 진화한다. 사용자의 새로운 요구 사항을 만족시키기 위해, 기존 UI에 대한 불편 사항을 해결하기 위해, 경쟁 제품의 더 좋은 UI를 따라 잡기 위해, 그리고 새로운 기술로 기존에는 불가능했던 것이 가능해 짐으로 인해, UI는 지속적으로 더 좋은 방향으로 변화하고 있다. 특히 휴대폰과 같이 라이프사이클이 짧은 제품의 UI는 매 제품마다 UI를 변화시킬 수 없기 때문에 기업 입장에서의 전략적인 접근이 중요해 진다. 더욱이 충분한 검증 없이 이루어진 진화의 방향은 사용자가 원하는 방향과 일치하지 않게 되어 오히려 퇴화하는 문제도 발생할 수 있다. 본 논문은 UI가 생성, 유지, 융합, 소멸되어 가는 진화론적 발전 속성 및 그러한 속성에 영향을 주는 요소들을 살펴보고, 라이프사이클이 짧은 제품의 UI를 개선할 때 어떤 전략을 취하는 것이 기업 차원에서 좋은지를 설명한다. UI 진화 전략은 크게 점진적 개선을 추구하는 구릉식 전략과 한번에 도약하는 계단식 전략으로 나눌 수 있다. 위 두 전략들은 사용자 만족도, 개선에 필요한 비용과 그 가치, 개선 후의 리스크 (Risk)에 따라 장단점을 가진다. 결론적으로 본 논문에서는 두 전략 모두 서로 상반되는 장단점을 가지므로, 어느 한 전략을 취하기 보다는 UI 요소의 특성 및 변화의 규모에 따라 두 전략을 혼용하는 전략이 기업 입장에서 최적의 전략임을 주장한다.

• The Transactions of the Korean Institute of Electrical Engineers P
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• v.57 no.3
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• pp.215-224
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• 2008

In this paper, we introduced a linear motor-based transfer system with an active pid controller which can be replaced with an automated guided vehicle (AGV) for the port automation. This system, which is named LMCTS(liner motor-based container transfer system), is based on PMLSM (permanent magnetic linear synchronous motor) which basically consists of stator modules on the rail and shuttle car. Therefore more progressive and adaptive control mechanisms should be required to control a system with large variation of container weight, the difference of each characteristic of stator modules, a stator module's trouble etc. We introduced an active control mechanism with an online tuning scheme using modified evolutionary strategy. Some computer simulations are implemented to assess the robustness of the proposed system.