• 한국군사과학기술학회지
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• 제21권2호
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• pp.204-210
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• 2018

As the 4th industrial revolution and artificial intelligence technology develop, it is expected that there will be a revolutionary changes in the security robot. However, artificial intelligence system requires enormous hardwares for tremendous computing loads, and there are many challenges that need to be addressed more technologically. This paper introduces precise tracking control technique of autonomous system that need to move repetitive paths for security purpose. The input feedforward signal is generated by using the inverse based iterative learning control theory for the 2 input 2 output nonminimum-phase system which was difficult to overcome by the conventional feedback control system. The simulation results of the input signal generation and precision tracking of given path corresponding to the repetition rate of extreme, such as bandwidth of the system, shows the efficacy of suggested techniques and possibility to be used in military security purposes.

• Journal of the Optical Society of Korea
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• 제1권1호
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• pp.1-4
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• 1997

The theoretical limit of the noise correlation between the signal and idler outputs of a nondegenerate optical parametric amplifier (NOPA) with a coherent state signal and vacuum state idler input can be enhanced if a non-vacuum coherent state idler input is employed. By choosing a balanced signal and idler input, the noise correlation is $1/{({\root}g + {\root}{g-1})}^2$, where g is the intensity gain of the NOPA, and that is superior to the prediced outputs with single signal input by approximately 3dB. The result is applicable to all the schemes that use the NOPA to produce a sub-shot noise light generation such as feed-back or feed-forward control.

• Nuclear Engineering and Technology
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• 제33권5호
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• pp.457-467
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• 2001

It is well known that the performance of a fuzzy neural network strongly depends on the input features selected for its training. In its applications to sensor signal estimation, there are a large number of input variables related with an output As the number of input variables increases, the training time of fuzzy neural networks required increases exponentially. Thus, it is essential to reduce the number of inputs to a fuzzy neural network and to select the optimum number of mutually independent inputs that are able to clearly define the input-output mapping. In this work, principal component analysis (PCA), genetic algorithms (CA) and probability theory are combined to select new important input features. A proposed feature selection method is applied to the signal estimation of the steam generator water level, the hot-leg flowrate, the pressurizer water level and the pressurizer pressure sensors in pressurized water reactors and compared with other input feature selection methods.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2000년도 하계종합학술대회 논문집(2)
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• pp.137-140
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• 2000

In this paper, we have proposed an efficient test generation method for asynchronous circuits. The test generation is based on specification level, especially on Signal Transition Graph(STG)〔1〕 which is a kind of specification method for asynchronous circuits. To conduct a high-level test generation, we have defined a high-level fault model, called single State Transition Fault(STF) model on STG and proposed a test generation algorithm for STF model. The effectiveness of the proposed fault model and its test generation algorithm is shown by experimental results on a set of benchmarks given in the form of STG. Experimental results show that the generated test for the proposed fault model achieves high fault coverage over single input stuck-at fault model with low cost. We have also proposed extended STF model with additional gate-level information to achieve higher fault coverage in cost of longer execution time.

• 대한전자공학회논문지
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• 제9권5호
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• pp.12-18
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• 1972

정현 신호 및 zero 평균 정상 정규 잡음의 협대역파 신호를 갖는 n차 반파 zero기억형 비선형 장치의 출력 SN 비 및 m차 고조파 발생의 관계를 밝혔다. 최대 출력 SN비는 소 신호 입력에서 m=n=2 이었으며 대 신호 입력에선 항시 n=2이었다.

• 전력전자학회:학술대회논문집
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• 전력전자학회 1996년도 창립기념 전력전자학술발표회 논문집
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• pp.85-88
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• 1996

New power factor correction(PFC) technique based on the averaged model of boost converter is proposed. Without measurement of input current, power factor correction scheme derived from the averaged model is presented. With the measurements of input voltage and output voltage, the control signal is generated to make the shape of the line current same as the input voltage. The characteristics of input line current distortion is analyzed by considering the generation of duty cycle.

• 전자공학회논문지C
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• 제36C권5호
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• pp.38-47
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• 1999

저전력을 실현하기 위하여 구조, 논리 및 트랜지스터레벨에서 16비트 덧셈기를 설계하였다. 기존의 ELM덧셈기는 입력 비트 패턴에 의해 계산되는 블록캐리발생신호 (block carry generation signal) 때문에 특정 입력 비트 패턴이 인가되었을 때에는 G셀에서 글리치(glitch)가 발생하는 단점이 있다. 따라서 구조레벨에서는 특정 입력 비트 패턴에 대해서 글리치를 피하기 위해 자동적으로 각각의 블록캐리발생신호를 마지막 레벨의 G셀에 전달하는 저전력 덧셈기 구조를 제안하였다. 또한, 논리레벨에서는 정적 CMOS(static CMOS)논리형태와 저전력 XOR게이트로 구성된 저전력 소모에 적합한 조합형 논리형태(combination of logic style)를 사용하였다. 게다가 저전력을 위하여 트랜지스터레벨에서는 각 비트 전파의 논리깊이(logic depth)에 따라서 가변 크기 셀들(variable-sized cells)을 사용하였다. 0.6㎛ 단일폴리 삼중금속 LG CMOS 표준 공정변수를 가지고 16비트 덧셈기를 HSPICE로 모의 실험한 결과, 고정 크기 셀(fixed-sized cell)과 정적 CMOS 논리형태만으로 구성된 기존의 ELM 덧셈기에 비해 본 논문에서 제안된 덧셈기가 전력소모면에서는 23.6%, power-delay-product면에서는 22.6%의 향상을 보였다.

• 한국전자파학회논문지
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• 제24권7호
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• pp.730-736
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• 2013

항공기용 펄스 도플러 위상 배열 레이더에 관한 시간 영역에서의 클러터 생성 모델을 제시한다. 구형의 지구라는 가정에서 클러터 패치의 기하학적 위치를 고려하여 시간 영역의 지표면 클러터 신호를 생성하였으며, 부배열 단위로 클러터 신호를 생성하였다. 이렇게 생성한 부배열 단위의 클러터 신호는 DBF(Digital Beamforming), ABF(Adaptive Beamforming), STAP(Space-Time Adaptive Processing) 등의 다양한 레이더 응용에서 시뮬레이션 입력 신호로 사용되어질 수 있다.

• 전기학회논문지
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• 제56권3호
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• pp.632-640
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• 2007

The low force estimation method of skeletal muscle was proposed by using ICA(independent component analysis) and neuro-transmission model. An EMG decomposition is the procedure by which the signal is classified into its constituent MUAP(motor unit action potential). The force index of electromyography was due to the generation of MUAP. To estimate low force, current analysis technique, such as RMS(root mean square) and MAV(mean absolute value), have not been shown to provide direct measures of the number and timing of motoneurons firing or their firing frequencies, but are used due to lack of other options. In this paper, the method based on ICA and chemical signal transmission mechanism from neuron to muscle was proposed. The force generation model consists of two linear, first-order low pass filters separated by a static non-linearity. The model takes a modulated IPI(inter pulse interval) as input and produces isometric force as output. Both the step and random train were applied to the neuro-transmission model. As a results, the ICA has shown remarkable enhancement by finding a hidden MAUP from the original superimposed EMG signal and estimating accurate IPI. And the proposed estimation technique shows good agreements with the low force measured comparing with RMS and MAV method to the input patterns.

• 대한전기학회논문지:시스템및제어부문D
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• 제54권1호
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• pp.1-10
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• 2005

This paper proposes a new and simple input prediction method for robust servo system. A robust tracking control system for optical disk drives was proposed recently based on both Coprime Factorization (CF) and Zero Phase Error Tracking (ZPET) control. The CF control system can be designed simply and systematically. Moreover, this system has not only stability but also robustness to parameter uncertainties and disturbance rejection capability. Since optical disk tracking servo system can detect only tracking error, it was proposed that the reference input signal for ZPET could be estimated from tracking errors. In this paper, we propose a new control structure for the ZPET controller. It requires less memory than the previously proposed method for the reference signal generation. Numerical simulation results show that the proposed method is effective.