• Proceedings of the KIEE Conference
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• 2011.07a
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• pp.2033-2034
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• 2011

본 논문에서는 물체 내부를 파괴하지 않고 검사 할 수 있는 방식 중에 인체에 무해한 테라헤르츠파를 이용하여 짧은 시간 영역과 짧은 시간 주파수 영역을 분석하고, 집적회로 샘플을 대상으로 실험하였으며 짧은 시간 주파수 영역을 분석함으로써 비파괴 검사를 할 수 있다는 가능성을 제시하였다.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.30 no.9A
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• pp.822-829
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• 2005

In this paper, a processing time and trafnc capacity analysis algorithm for RFID system using LBT-Random Searching scheme is proposed. Service time, carrier sensing time, additional delay time required for contiguous frequency channel occupancy, and additional delay time required for the contiguous using the same frequency channel are considered and the processing delay and frequency channel capacity are analyzed for the steady state operation of the system. The simulation results showing maximum capacity of the system and explaining the accuracy of the algorithm are provided.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.30 no.10A
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• pp.930-937
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• 2005

In this paper, a processing time and traffic capacity analysis algorithm for RFID system using LBT-serial searching scheme is proposed. Service time, carrier sensing time, additional delay time required for contiguous frequency channel occupancy, and additional delay time required for the contiguous using the same frequency channel are considered and the processing delay and frequency channel capacity are analyzed for the steady state operation of the system. The simulation results showing maximum capacity of the system and explaining the accuracy of the algorithm are provided.

• Journal of KSNVE
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• v.6 no.3
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• pp.341-347
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• 1996

Vibration analysis is one of the most powerful tools available for the detection and isolation of incipient faults in mechanical systems. The methods of vibration analysis in use today and under continuous study are broad band vibration monitoring, time domain analysis, and frequency domain analysis. In recent years, great interest has been generated concerning the use of time- frequency repesentation and its application for a machinery diagnostics and condition monitoring system. The objective of the study described in this paper was to develop a new diagnostic tool for the rotating machinery. This paper introduces a new time frequency representation. Directional Winger-Ville Distribution, which analyese the time-frequency structure of the rotating machinery vibration.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2001.05a
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• pp.271-275
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• 2001

두뇌-컴퓨터 인터페이스로 활용하기 위한 시도로서, 인간의 가장 간단한 의사 표시인 긍/부정 의사와 관련한 뇌파를 측정하고 시간-주파수 분석을 수행하였다. 선행 연구 결과와 뇌파 측정 실험 조건에 대해 살펴 보고, 시간-주파수 분석 결과로부터 긍/부정 반응 동작에 따른 뇌파 변화에 대해 토론하였다.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 1997.11a
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• pp.98-101
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• 1997

사람 사이의 가장 간단한 의사 표현인 긍정/부정을 뇌파를 통해 분별하려는 작업의 첫걸음으로 시각자극에 의해 일어난 긍정/부정 감성 상태에 대해 전두부와 후두부에서 뇌파를 측정하였다. 시간-주파수 분석을 행하고, 특정 주파수 세부 대역에서 상대출력의 시간에 따른 변화를 살펴보았다. 긍정적 감성상태에서는 느린 a 파의 증가가, 부정적 감성상태에서는 빠른 a파일의 증가가 관찰된다. 이러한 상대출력의 시간에 따른 증감을 통해 긍정/부정 감성상태의 분별 규칙을 설정하여 측정된 뇌파에 적용을 보았다.

• The Journal of the Korea Contents Association
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• v.11 no.3
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• pp.271-280
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• 2011

Heart Rate Variability (HRV) analysis is a convenient tool to assess Myocardial Ischemia (MI). The analysis methods of HRV can be divided into time domain and frequency domain analysis. This paper uses wavelet transform as frequency domain analysis in contrast to time domain analysis in short term HRV analysis. ST-T and normal episodes are collected from the European ST-T database and the MIT-BIH Normal Sinus Rhythm database, respectively. An episode can be divided into several segments, each of which is formed by 32 successive RR intervals. Eighteen HRV features are extracted from each segment by the time and frequency domain analysis. To diagnose MI, the Neural Network with Weighted Fuzzy Membership functions (NEWFM) is used with the extracted 18 features. The results show that the average accuracy from time and frequency domain features is 75.29% and 80.93%, respectively.

• Journal of KSNVE
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• v.9 no.4
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• pp.841-848
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• 1999

In the quality assurance check process of DC motor systems, even though the overall sound pressure level is acceptable, there is an incident that subjective evaluation leads to failure in product quality due to annoying noise. This kind of problem may be originated from the manufacturing or assembly process. In this paper, the transient spectral analysis, or the time-frequency analysis is applied to the noise quality problem. For the case study, the cause of annoying noise in the wind shield wiper motor is experimentally analyzed in detail. It is concluded that the defect in the shaft causes the impact noise which is not detectable by steady spectral analysis. Also demonstrated is how the time-frequency analysis is effectively applied to the annoying noise identification of the rotor-gear system.

• Journal of the Korean Society for Nondestructive Testing
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• v.19 no.4
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• pp.270-276
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• 1999

Fourier transform has been one of the most commonly used tools in study of frequency characteristics of signal. However, based on the Fourier transform. it is hard to tell whether a signal's frequency contents evolve in time or not. Recently, to overcome Fourier transform fault. not to represent non-stationary signal, time-frequency analysis methods are developed and those can represent informations of signal's time and frequency at the same time. In this study we analysed ultrasonic signal for degraded SUS 316 with time-frequency analysis method. In particular the methods such as short time Fourier(STFT) and Wigner-Ville distribution(WVD) were used to extract frequency contents and characteristics from ultrasonic signals.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2002.05a
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• pp.286-290
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• 2002

두뇌-컴퓨터 인터페이스(brain-computer interface)를 적용하기 위한 연구로서 주어진 문제에서 긍/부정을 선택할 때 나타나는 뇌파를 분별하기 위해서 시간-주파수 분석을 하였다. 단시간 퓨리에 변환(short time fourier transform : STFT)을 하여 긍/부정 선택시 뇌파의 시간-주파수 변화량을 보고, 시간-주파수 분해능이 좋은 웨이블릿 변환(wavelet transform)을 적용하여 서로 비교하였다. 두 가지 분석에서 공통된 결과는 주로 RT전 0.5초 주위에서 유의미한 결과를 나타내었고, 웨이블릿 분석에서 더 좁은 구간에 나타나며, 통계적으로 더 유의미한 결과를 나타내었다.