• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• v.2
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• pp.83-86
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• 2006

모바일 플랫폼이 WIPI라는 표준 플랫폼으로 2004년 2월 WIP2.0으로 규격화되어 컨텐츠 개발 시간 및 비용의 최소화와 빠른 단말기 개발 공정으로 원활한 단말기 공급 그리고 1회의 컨텐츠 개발로 모든 이동 통신 사업자에 공급등 여러 가지 측면에서 장점을 가지게 되었다. 이러한 WIPI의 우수성을 우리가 직접 사용해 눈으로 확인 해보기 위해 모바일 컨텐츠 중에서 가장 활발하게 개발되고 있는 게임을 제작해 보았다.

• Proceedings of the KIEE Conference
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• 2006.07d
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• pp.2149-2150
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• 2006

FLL 회로는 측정된 신호를 voltage to current converter를 거쳐 feedbak coil에 인가함으로써 외부 자장을 상쇄하여 SQUID의 동작점을 원점으로 회귀시켜 선형 구간을 유지하도록 하는 역할을 한다. FLL회로의 동자 범위와 특성을 분석하기 위해서는 일반적인 time-delayed feedback 회로와 사용된 OP amp의 slew rate, filter 의 amplitude 및 위상 특성, SQUID의 critical current, pickup coil 및 SQUID의 inductance 등 다양한 파라미터를 고려하여야 한다. 이러한 SQUID 회로의 복합적인 특성을 SQUID 에뮬레이터를 사용함으로써 FLL 회로를 손쉽게 설계할 수 있고, 또한 회로의 최적화도 쉽게 이를 수 있다. 또한 초전도에서 동작하는 SQUID 나 자기 차폐실이 없어도 FLL 회로 등을 개발할 수 있기 때문에 생체자기시스템의 개발 초기 단계에 널리 활용될 수 있다. 따라서 이 논문의 목적은 FLL을 포함한 SQUID 제어 회로를 SQUID 센서와 분리하기 위한 방법을 제안하는 것으로 자기적으로 coupling되어 있는 feedback 회로를 회로적으로 addition을 수행하게 함으로써 SQUID와 분리하여 회로의 동작 및 특성을 측정할 수 있다.

• Journal of the Korean Data and Information Science Society
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• v.18 no.1
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• pp.107-121
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• 2007

An efficient encoding algorithm (or encryption algorithm) is essential for mobile devices since their resources such as computation power and battery capacity are very limited. This study is to propose an efficient encoding scheme for protecting mobile music. In the proposed scheme, server distributes each music file in a shuffled form or an encrypted one, then only authorized consumers can play the music after un-shuffling or decrypting it. We show the effectiveness of our proposed scheme by implementing and evaluating the prototype system on WIPI emulator. Experimental results show that our scheme can achieve much better performance than the standard encryption algorithm of OMA DRM.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 1997.10a
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• pp.413-416
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• 1997

Recently, dynamic recurrent neural networks(DRNN) for identification of nonlinear dynamic systems have been researched extensively. In general, dynamic backpropagation was used to adjust the weights of neural networks. But, this method requires many complex calculations and has the possibility of falling into a local minimum. So, we propose a new approach to identify nonlinear dynamic systems using DRNN. In order to adjust the weights of neurons, we use evolution strategies, which is a method used to solve an optimal problem having many local minimums. DRNN trained by evolution strategies with mutation as the main operator can act as a plant emulator. And the fitness function of evolution strategies is based on the difference of the plant's outputs and DRNN's outputs. Thus, this new approach at identifying nonlinear dynamic system, when applied to the simulation of a two-link robot manipulator, demonstrates the performance and efficiency of this proposed approach.

• Proceedings of the IEEK Conference
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• 2008.06a
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• pp.1159-1160
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• 2008

For safety railway vehicle movement, analysis and recoding of railway vehicle speed and driving information has written by law. nowadays, base in europe, these system is spread of various advanced country. In this paper, We implement an event recorder which record the driving and breaking information of running railway vehicle. For the event recorder, We designed the data structures with data analysis tools and a protocol between Event recorder and data analysis tool. The verification of Analysis tool was tested by to made data by Event Recorder's emulator and information of real railway driving recording.

• Proceedings of the Korean Society of Machine Tool Engineers Conference
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• 2003.04a
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• pp.327-339
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• 2003

In this paper, a self-organizing fuzzy controller(SOFC) for the industrial robot manipulator with a actuator located at the base is studied A fuzzy login composed of linguistic conditional statements is employed by defining the relations of input-output variable of the controller, In the synthesis of a FLC, one of the most difficult problems is the determination of linguistic control rules from the human operators. To overcome this difficult SOFC is proposed for a hierarchical control structure consisting of basic level and high level that modify control rules. The proposed SOFC scheme is simple in structure, fast in computations and suitable for implementation of real-time control. Performance of the SOFC is illustrated by simulation and experimental results for robot with low joints.

• 제어로봇시스템학회:학술대회논문집
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• 1992.10b
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• pp.65-69
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• 1992

In this paper, an implementation of neuro-controller with an application of artificial neural network for an adjustment and tuning process for the completed electronics devices is presented. Multi-layer neural network model is employed with the learning method of error back-propagation. For the intelligent control of adjustment and tuning process, the neural network emulator (NNE) and the neural network controller(NNC) are developed. Computer simulation reveals that the intelligent controllers designed can function very effectively as tools for computer aided adjustment system. The applications of the controllers to the real systems are also demonstrated.

• The Magazine of the IEIE
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• v.25 no.5
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• pp.71-78
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• 1998

디지털 TV 방송을 수신하기 위한 디지털 TV 수신기의 핵심 부품을 5개의 IC로 개발하였다. 5개의 칩 세트는 VSB로 변조된 신호를 수신하기 위한 2개의 채널 디코더 IC와 3개의 비디오 신호처리 IC로 구성되어 있다. VSB 수신용 IC는 Syne 및 Timing 복구와 채널 등화 기능을 수행하는 SyncEq와 전송시의 오류를 정정하는 VSB 채널 디코더로 구성되며, 비디오 신호 처리부는 MPEG2 다중화 방식의 Transport Stream을 디코딩하기 위한 역다중화용 IC와 MPEG2 비디오 압축/신장 규격의 MP@HL의 비트스트림을 디코딩하기 위한 비디오 디코더 및 18가지 비디오 포맷을 단일한 출력 포멧으로 변환하여 주며 OSD 등 디스플레이 기능을 위한 비디오 디스플레이 처리용 IC로 구성되어 있다. 이 칩 세트는 VHDL로 설계되었으며 RTL 시뮬레이션과 하드웨어 Emulator로 시스템 레벨에서 검증되었고 0.6u, TLM, CMOS 공정을 이용하여 제작되었다.

• Proceedings of the Computational Structural Engineering Institute Conference
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• 2003.04a
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• pp.403-410
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• 2003

A new semiactive control strategy for seismic response reduction using a neuro-controller and a magnetorheological (MR) fluid damper is proposed. The proposed control system adopts a clipped algorithm which induces the MR damper to generate approximately the desired force. The improved neuro - controller, which was developed by employing the training algorithm based on a cost function and the sensitivity evaluation algorithm replacing an emulator neural network, produces the desired active control force, and then by using the clipped algorithm the appropriate command voltage is selected in order to cause the MR damper to generate the desired control force. The simulation results show that the proposed semiactive neuro-control algorithm is quite effective to reduce seismic responses. In addition, the semi-active control system using MR fluid dampers has many attractive features, such as the bounded-input, bounded-output stability and small energy requirements. The results of this investigation, therefore, indicate that the proposed semi-active neuro-control strategy using MR fluid dampers could be effectively used for control of seismically excited structures.

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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• 2000.06a
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• pp.286-290
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• 2000

Optimal neuro-control algorithm is extended to the control of a multi-degree-of-freedom structure. An active mass driver(AMD) system on the top roof is used as an exciter. The control signals are made by a multi-layer perceptron(MLP) which is trained by minimizing a sub-optimal performance index. The performance index is a function of both the output responses and the control signals. Structure having nonlinear hysteretic behavior is also trained and controlled by using proposed control algorithm. In training neuro-controller, emulator neural network is not used. Instead, sensitivity-test data are used. Therefore, only one neural network is used for the control system. Both the time delay effect and the dynamics of hydraulic actuator are included in the simulation. Example shows that optimal neuro-control algorithm can be applicable to the multi-degree of freedom structures.