• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2000년도 추계종합학술대회 논문집(3)
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• pp.5-8
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• 2000

Voltage mode chaotic neuron has been designed in integrated circuit and fabricated by using 0.8$\mu\textrm{m}$ single poly CMOS technology. The fabricated CMOS chaotic neuron consist of chaotic signal generator and sigmoid output function. This paper presents an analysis of the chaotic behavior in the voltage mode CMOS chaotic neuron. From empirical equations of the chaotic neuron, the dynamical responses such as time series, bifurcation, and average firing rate are calculated. And, results of experiments in the single chaotic neuron and chaotic neural networks by two neurons are shown and compared with the simulated results.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 1998년도 추계종합학술대회 논문집
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• pp.1297-1300
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• 1998

In this paper, we discuss the identification of a chaotic system using chaotic neural networks. Because of selfconnections in neuron itself and interconnections between neurons, chaotic neural networks identifiers show good performance in highly nonlinear dynamics such as chaotic system. Simulation results are presented to demonstrate robustness of chaotic neural networks identifier.

• 한국전자파학회논문지
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• 제18권1호
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• pp.90-95
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• 2007

LDR(Low Date Rate) UWB(Ultra Wide Band) 시스템에서 chaotic 신호를 이용한 OOK(On Off Keying) 통신 방법이 선택적 사항으로 채택되어 있다. 이 시스템에서 중요 회로 중에 하나인 chaotic 신호 발생 회로는 현재 대부분 아날로그 형태의 피드백 구조를 이용하고 있으나, 아날로그 형태의 피드백 구조는 공정 변화에 대한 취약점이 있어 양산성에 어려움이 있다. 이를 해결하기 위해 본 논문에서는 0.18 um CMOS 공정을 이용하여 디지털 구조의 PN-sequence를 응용하여 중심 주파수 4 GH에서 2 GHz의 대역폭을 갖는 Quasi-chaotic 신호 발생 회로를 설계 및 검증하였다.

• 전자공학회논문지B
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• 제33B권2호
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• pp.131-139
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• 1996

This paper describes the chaotic neuron model to represent the complicated states of brain and analyzes the dynamical responses of chaotic neuron such as periodic, bifurcation, and chaotic phenomena which are simulated iwth numerical analysis. Next, the chaotic neuron circuit is implemented w ith the analog electronic devices. The transfer function of chaotic neuron is given by summed the linear and nonlinear property. The output function of chaojtic neuron is designed iwth the two cMOS inverters and a feedback resistor. By adjusting the external voltage, the various dynamical properties are demonstrated. In addition, we construt the chaotic neural networks which are composed of the interconnection of chaotic neuroncircuit such as serial, paralle, and layer connection. On the board experiment, we proved the dynamci and chaotic responses which exist in the human brain.

• 한국전자파학회논문지
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• 제19권3호
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• pp.384-390
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• 2008

본 논문에서는 TSMC 0.18 um CMOS 공정을 사용하여 UWB Chaotic-OOK(On-Off Keying) 통신을 위한 송신기를 설계하였다. 송신기는 Quasi-chaotic 신호 발생기, OOK 변조기, 구동 증폭기로 구성되어 있다. 일반적으로 아날로그 피드백을 사용하는 chaotic 신호 발생기는 공정 변화에 대한 취약점이 있어 이를 개선하기 위하여 디지털 피드백 구조의 Quasi-chaotic 신호 발생기를 사용하였다 또한, OOK 변조를 위해 T형 구조의 변조기와 단일 출력 신호를 얻기 위한 차동 입력 단일 출력 구동 증폭기를 설계하였다. 측정 결과, 요구되는 spectrum mask를 만족시키는 출력을 얻었으며, 데이터 20 Kbps, 200 Kbps, 2 Mbps, 10 Mbps에 따른 OOK 변조 테스트를 통해 출력 신호를 확인하여 UWB chaotic-OOk 송신기로 사용 가능함을 확인하였다.

• Journal of Multimedia Information System
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• 제8권2호
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• pp.131-142
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• 2021

This paper traces the process of constructing a new one-dimensional chaotic map, and will provide a simple application in color image encryption. The use of Sarkovskii's theorem will make it possible to determine the existence of chaos and restrict all conditions to ensure the existence of this new sequence. In addition, the sensitivity to initial conditions will be proved by Lyapunov's index value. Similarly, the performance of this new chaotic map will be illustrated graphically and compared with other chaotic maps most commonly used in cryptography. Finally, a humble color image encryption application will show the power of this new chaotic map.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 1999년도 하계종합학술대회 논문집
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• pp.1041-1044
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• 1999

In This paper, we investigated the single step prediction for output responses of chaotic system with multi Input multi output using chaotic neural networks. Since the systems with chaotic characteristics are coupled between internal parameters, the chaotic neural networks is very suitable for output response prediction of chaotic system. To evaluate the performance of the proposed neural network predictor, we adopt for Lorenz attractor with chaotic responses and compare the results with recurrent neural networks. The results demonstrated superior performance on convergence and computation time than the predictor using recurrent neural networks. And we could also see good predictive capability of chaotic neural network predictor.

• 센서학회지
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• 제21권5호
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• pp.389-393
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• 2012

A chaotic oscillator with light controllability was designed. The proposed chaotic oscillator consists of a photo sensor, two phase clock driven MOS switches, nonlinear function blocks for chaotic signal generation. SPICE circuit analysis using a 0.35 um CMOS process parameters was performed for its chaotic dynamics. And we confirmed that chaotic behaviors of the circuit can be controlled according to light intensity. By SPICE simulation, chaotic dynamics by time waveforms, frequency analysis was analyzed. SPICE results showed that proposed circuit can make various light-controlled chaotic signals.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제8권11호
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• pp.4137-4152
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• 2014

This paper investigates the description ability of chaotic feature vector to dynamic textures. First a chaotic feature and other features are calculated from each pixel intensity series. Then these features are combined to a chaotic feature vector. Therefore a video is modeled as a feature vector matrix. Next by the aid of bag of words framework, we explore the representation ability of the proposed chaotic feature vector. Finally we investigate recognition rate between different combinations of chaotic features. Experimental results show the merit of chaotic feature vector for pixel intensity series representation.

• 한국소음진동공학회:학술대회논문집
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• 한국소음진동공학회 1997년도 추계학술대회논문집; 한국과학기술회관; 6 Nov. 1997
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• pp.154-159
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• 1997

In this paper, we describe the OGY method that convert the motion on a chaotic attractor to attracting time periodic motion by malting only small perturbations of a control parameter. The OGY method is illustrated by application to the control of the chaotic motion in chaotic attractor to happen at the famous Logistic map and Henon map and confirm it by making periodic motion. We apply it the chaotic motion at the behavior of the thin beam under periodic torsional base-excitation, and this chaotic motion is made the periodic motion by numerical experiment in the time evaluation on this chaotic motion. We apply the OGY method with the Jacobian matrix to control the chaotic motion to the periodic motion.