• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2000년도 제15차 학술회의논문집
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• pp.516-516
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• 2000

We propose a neuron model that is possible to learn three-dimensional movement. The neuron model by imitating structure of a neuron, has the system resemble a neuron. We considered a neuron system based on the arguments, and wished to examine whether the system had reasonable function. Koch, Poggio and Torre believed that inhibition signal would shunt excitation signal on the dendrites. They believed that excitation signal operated input-signals and inhibition did as delayed ones. Thus, they were sure that function for directional selectivity was arisen by the shunting. Koch's concept is so important; therefore, we construct the neuron system with their concept. The neuron system makes the shunting function; thus, the model may have a function for directional selectivity. We initialized the connections and the dendrites by random data, and trained them by the back-propagation algorithm for three-dimensional movement. We made sure the defection of three-dimensional movement in the system.

• 비파괴검사학회지
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• 제25권3호
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• pp.163-170
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• 2005

A modular Gaussian beam model is developed to simulate some ultrasonic testing configurations where multiple interfaces are involved. A general formulation is given in a modular matrix form to represent the Gaussian beam propagation with multiple interfaces. The ultrasonic transducer fields are modeled by a multi-Gaussian beam model which is formed by superposing 10 single Gaussian beams. The proposed model, referred to as "MMGB" (modular multi-Gaussian beam) model, is then applied to a typical contact and angle beam testing configuration to predict the output signal reflected from the corner of a vertical crack. The resulting expressions given in a modular matrix form are implemented in a personal computer using the MATLAB program. Simulation results are presented and compared with available experimental results.

• 한국철도학회:학술대회논문집
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• 한국철도학회 2003년도 추계학술대회 논문집(III)
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• pp.132-137
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• 2003

This paper concerns the prediction of railway noise propagation using scale model experiment in acoustics. In order to make acoustical experiment the digital signal processing technique are applied and spark discharge sound sources have been developed in which impulse response measured in 1/20 scale model railway. In the case of scale model experiment, it is difficult to realize sufficiently small size and directivity and to get sufficient sound energy and to get repeatability. Several type of Spark discharge sound source is made in laboratory. Experiment results are compared with the calculated results by the prediction model. As the results, it was found that railway noise could be predicted in acoustical scale model experiment using spark discharge sound source.

• 한국철도학회논문집
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• 제16권6호
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• pp.460-465
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• 2013

고속철도에서의 열차무선전파는 일반적인 이동통신전파와 달리 레일, 침목 및 자갈로 구성된 철로면 반사에 의해 불규칙적으로 수신되는 지면반사파의 영향을 받는다. 본 논문에서는 이와 같이 불규칙적으로 수신되는 철로면 반사파를 랜덤변수로 모의하고, 여기에 송수신간 직접 경로에 의한 직접파를 추가한 열차무선 전파모델을 제안하였다. 제안한 전파모델을 이용한 시뮬레이션 결과 열차무선에서의 경로손실지수는 3.0으로 분석되어, 일반적인 이동통신환경에서의 4.0에 비해 경로손실이 감소하는 것으로 나타났다. 또한, 고속철도 현장에서의 열차무선 수신전력 측정치에서도 동일하게 경로손실지수가 3.0으로 분석되었다. 이상과 같은 시뮬레이션 및 측정결과로부터, 열차무선 전파모델을 검증하고 경로손실지수를 도출할 수 있었으며, 이 결과는 고속철도 열차무선통신망의 커버리지 예측 및 기지국 설계에 응용할 수 있다.

• 한국컴퓨터정보학회논문지
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• 제27권2호
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• pp.135-144
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• 2022

전자기 토폴로지 기법은 복합적인 전파 환경의 모델링을 효과적으로 수행하기 위하여, 구성되는 전파 환경 단위를 각각 해석하고 네트워크의 형태로 결합하여 재해석하는 방법이다. 일반적인 상용 통신 채널 모델에서는 전파 환경이 복합적이고 예측이 어렵기 때문에 정확도는 낮지만 평균적인 해를 활용하는 확률 모델을 활용한다. 하지만, 상대적으로 높은 정확도의 전자파 전파 특성을 요구하는 전자기 펄스 등 위협 전자파의 전파 및 결합 분석, 전자전, 5G 및 6G 이상의 로컬 통신 채널 모델 등에 사용되는 전파 모델 응용에서는 전자기 토폴로지 기법을 활용한 전파 모델링 기법 등이 활용된다. 본 논문은 주파수 영역에서 해석되는 전자기 토폴로지(EMT) 기법의 효과적인 수행 방안과 알고리즘, 그리고 프로그램 구현에 대하여 설명한다. 또한 주파수 영역의 EMT 해석 결과에 대하여 임의의 인가 신호원에 대한 시간 영역에서의 응답을 도출하는 방안에 대하여 논의한다.

• 한국통신학회논문지
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• 제42권2호
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• pp.323-330
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• 2017

밀리미터파 대역은 주파수가 30GHz-300GHz이고, 파장이 10mm-1mm인 EHF (Extremely High Frequency) 대역이다. 밀리미터파 대역에서는 장애물이 있는 경우 전파 감쇠가 심하기 때문에 Line-of-Sight (LoS)가 아닌 경우 신호가 잘 잡히지 않는다. 그렇기 때문에 밀리미터파 대역에서 신호 감쇠 측정을 할 경우에 측정 장비가 noise와 구별할 수 없는 신호들이 관찰된다. 이와 같이 감쇠가 심한 환경에서 신호 감쇠 data를 보면 특정한 값에서 제한을 받는 것이 관찰된다. 특정한 값에서 제한 받는 것을 그대로 두고 일반적인 Least square로 추정을 하는 경우에는 감쇠 exponent를 과소평가 할 수도 있다. 본 논문에서는 특정한 값에서 제한을 받아도 정확한 추정이 가능한 Tobit Maximum Likelihood Estimation, Heckman Two-stage Model 그리고 Truncation Regression model의 성능 비교를 하였다.

• 한국생산제조학회지
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• 제6권1호
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• pp.7-17
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• 1997

During the past decade, there were many well-established theories for the adaptive control of linear systems, but there exists relatively little general theory for the adaptive control of nonlinear systems. Adaptive control technique is essential for providing a stable and robust performance for application of industrial robot control. Neural network computing methods provide one approach to the development of adaptive and learning behavior in robotic system for manufacturing. Computational neural networks have been demonstrated which exhibit capabilities for supervised learning, matching, and generalization for problems on an experimental scale. Supervised learning could improve the efficiency of training and development of robotic systems. In this paper, a new scheme of adaptive-neuro control system to implement real-time control of robot manipulator using digital signal processors is proposed. Digital signal processors, DSPs, are micro-processors that are developed particularly for fast numerical computations involving sums and products of variables. The proposed neuro control algorithm is one of learning a model based error back-propagation scheme using Lyapunov stability analysis method. The proposed adaptive-neuro control scheme is illustrated to be an efficient control scheme for implementation of real-time control for SCARA robot with four-axes by experiment.

• International Journal of Computer Science & Network Security
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• 제22권3호
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• pp.382-388
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• 2022

Satellite communication for high altitude platform stations (HAPS) and low earth orbit (LEO) systems suffer from dust and sand (DU&SA) storms in the desert regions such as Saudi Arabia. These attenuations have a distorting effect on signal fidelity at high frequency of operations. This results signal to noise ratio (SNR) to dramatically decreasing and leads to wireless transmission error. The main focus in this paper is to propose common relations between HAPS and LEO for the atmospheric impairments affecting the satellite communication networks operating above Ku-band crossing the propagation path. A double phase three dimensional relationship for HAPS and LEO systems is then presented. The comparison model present the analysis of atmospheric attenuation with specific focus on sand and dust based on particular size, visibility, adding gaseous effects for different frequency, and propagation angle to provide system operations with a predicted vision of satellite parameters' values. Skillful decision and control system (SD&CS) is proposed to control applied parameters that lead to improve satellite network performance and to get the ultimate receiving wireless signal under bad weather condition.

• 전기학회논문지
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• 제61권8호
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• pp.1091-1098
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• 2012

This paper describes frequency response and propagation characteristics considering semiconducting screen in distribution cables. In CIGRE WG 21-05, Simplified Approach(SA) and Rigorous Approach(RA) which can revise the permittivity considering semiconducting screen propose for more detailed EMTP model and frequency dependant analysis. In this paper, the frequency dependent characteristics of complex permittivity are variously analysed by cole-cole function of RA. The attenuation, propagation velocity and surge impedance according to frequency range(1 kHz to 500 MHz) and cable length are also analysed by SA and EMTP simulation in distribution cables. The propagation velocity considering semiconducting screen is slower, and it is saturated over the range of 1 MHz. The signal is significantly attenuated as frequency range is high.

• 한국항공운항학회지
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• 제24권4호
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• pp.1-5
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• 2016

As a dependency on Global Navigation Satellite System (GNSS) becomes increase in various applications, its reliability has been very important. However, in South Korea, Global Positioning System (GPS) jamming incident happened four times since 2010. GNSS signal is so weak that it is highly susceptible to all types of the jamming. GNSS jamming can cause serious damage in the safety-critical applications based on the GNSS. In this paper, we present the GNSS jamming signal propagation prediction simulator based on ITU-R P.1546 model. This simulator is developed for preventing or reducing the damage from the GNSS jamming attack by predicting the jamming propagation strength based on the geographical information in Korean peninsula.