• Journal of Internet Computing and Services
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• v.10 no.5
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• pp.127-133
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• 2009

This paper presents an approach to classify normal and epilepsy from electroencephalogram(EEG) using a neural network with weighted fuzzy membership functions(NEWFM). To extract input features used in NEWFM, wavelet transform is used in the first step. In the second step, the frequency distribution of signal and the amount of changes in frequency distribution are used for extracting twenty-four numbers of input features from coefficients and approximations produced by wavelet transform in the previous step. NEWFM classifies normal and epilepsy using twenty four numbers of input features, and then the accuracy rate is 98%.

• Journal of the Society of Naval Architects of Korea
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• v.31 no.2
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• pp.65-77
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• 1994

This paper presents a derailed application procedure of the linear quadratic(LQ) theory for a SWATH heave and pitch control. A time domain model of coupled, linear time-invariant second order differential equations is derived from the frequency response model with the frequency dependent added mass and damping approximated as constant values at the heave natural frequency. Wave exciting forces are modeled as a sum of sinusoids. A systematic selection procedure of state and control weighting matrices is presented to obtain good transient behavior and acceptable fin movement. The validity of this controller design process is throughly investigated by simulations both in time domain and frequency domain and singular value plots of transfer function matrices. The finally designed control system shows good overall performances revealing that the applicability of the present study is proved successful.

• Journal of KSNVE
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• v.7 no.1
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• pp.143-152
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• 1997

This paper introduces experimental results of the ride qulaity characteristics of automotive seats fixed on the vibration table that is noving simultaneously to the three-axis in a similar way to the real running condition. Vibration experiment was carried out for five different automotive seats and four Korean individuals. The assessment of the ride quality characteristics for each seat and indiviual was made not only from the analysis of vibration measurements but also from the evaluation of weighied vibration signals, which were obtained using the frequency weighting function and the multiplication factor dependent on the position and axis of vibration exposure to wehole-body. The usefulness of those assessment results in analysis of the ride quality of seats is discussed and their limitation is also pointed out in this paper.

• Proceedings of the Korea Multimedia Society Conference
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• 2002.11b
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• pp.421-424
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• 2002

본 연구에서는 ARM720T core를 사용한 보드에서 머리 전달 함수(HRTF)를 이용한 입체음향 시스템을 구현하였다. ARM720T core를 탑재한 EP7312칩은 저전력 고성능 프로세서로서의 이점을 갖고 있기 때문에 HRTF의 특성을 이용한 입체음향 실시간 구현이 가능하다. 또한 ARM 프로세서를 사용함으로, DAC제어부 부분을 제외한 메인 프로세싱 부분은 ARM 계열의 다른 프로세서에서도 쉽게 사용 가능하단 이점이 있다. HRTF를 이용하여 2채널의 입체음향을 구현하는 방식은 콘볼루션에서 많은 계산량이 소요된다. 본 연구에서는 실시간 구현 시 계산량을 줄이기 위해 시간영역의 콘볼루션을 사용하지 않고 주파수 영역에서의 가중 중복 합산방식을 이용하여 계산하였다. 본 연구의 연구 결과는 가상현실이나 방송음향장비 뿐만 아니라 저전력을 요구하는 휴대용 멀티미디어 기기에서 MP3/AAC/WMA와 같은 오디오 압축 장치부분에 활용되어 질 수 있다.

• Transactions of the Korean Society of Automotive Engineers
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• v.13 no.2
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• pp.29-36
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• 2005

In oder to generate various shock signals in a field study, a passenger car was driven at several speeds over road profiles that included a number of half sine shaped bumps of various heights. A triaxial SAE pad sensor was mounted on the front passenger seat to measure the acceleration signals which might produce subjective discomfort. The measured accelerations were correlated with the subjective assessments of 14 subjects. The magnitude of subjective discomfort was found to be proportional to the VDV and also the peak to peak of the frequency weighted acceleration signal.

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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• 2009.04a
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• pp.423-423
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• 2009

미진동 제어라는 분야에 대한 연구는 반도체 산업이 초고도화 및 초정밀화가 진전되고 있는 최근에 들어와 학계보다는 전문 반도체와 TFT-LCD의 미진동제어 관련 엔지니어 그룹과 정밀 장비 제작사를 중심으로 이루어져왔다. 고집적 생산 제품을 가공 및 검사하기 위해서는 가공 선폭 이상의 분해 성능을 가진 고정밀도의 생산 및 검사 장비가 필요하다. 이런 고정밀도 생산 및 검사장비는 내외부로부터 입력되는 진동에 민감한 영향을 받는다. 초기 반도체 산업을 주도한 미국을 중심으로 일부 학자와 반도체 진동 제어를 수행하는 전문연구소에서 작성한 BBN-Criteria는 정밀장비의 용도나 분해능 별로 정리된 진동허용규제치를 지침서로 사용하여 왔다. 그러나 장비의 엄밀한 주파수 특성 및 정밀도 측면에서 불확실한 영역부분을 가지고 있기 때문에 미소한 진동을 제어하는 구조 설계자 관점에서는 불충분한 자료이다. 그리고 주파수 분해능을 가진 진동허용규제치를 제시하는 것이 바람직하지만 대부분의 제작사에서는 그렇지 못하고 있다. 그런 이유에는 장비 개개의 진동허용규제치가 다른 고가의 장비 전량에 대하여 시험을 수행해야 하는 점, 가진(加振)특성, 중량, 크기 등의 진동실험 자체에 어려움 때문이다. 또한 진동실험시 가진주파수의 분해능의 결려에 따른 장비의 동적 특성이 고려되지 않은 불확실한 영역 부분을 포함한 진동허용규제치를 제시함으로서 불확실한 영역부분의 진동 하한치를 진동허용규제치의 상한치로 결정하는 문제로 인하여 진동허용규제치가 더욱 가혹하게 제시되어 건물 구조 설계와 방진의 어려움을 가중시킬 여지가 있다. 본 논문에서는 이런 어려움 등을 회피하는 방법으로 주파수응답함수(Frequency Response Function, FRF)를 이용하여 정밀장비의 진동허용규제치를 결정하는 간편하면서도 더욱 정밀한 새로운 방법을 모색하였다.

• Transactions of the Korean Society for Noise and Vibration Engineering
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• v.27 no.2
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• pp.155-161
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• 2017

When a military vehicle is driven on a cross-country road, the occupants are exposed to vibration at a body resonance. In case that the exposure continues for too long period, the attention ability of the occupant could be affected by the vibration exposure. In the study, it was experimentally tried to find if there is a correlation between degradation of attention and vibration exposure. Two kinds of test among various psychological attention tests were employed, which were selected with considering a situation of carrying out military mission on vehicle. At the result, the searching test for controlled attention showed significant degradation in the accuracy and performance time in case of exposure at the vibration. And the attention degradation appeared to be greater when the vibration exposure increases. The dual task test for divided attention showed the difference between vibration and non-vibration condition, but showed it is insignificant for the attention to degrade by increasing exposure time.

• Journal of KSNVE
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• v.11 no.3
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• pp.461-470
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• 2001

A friction-type clutch system sometimes generates spick-slip vibration during engagement, which disturbs smooth start of a car and makes a passenger uncomfortable. In this study, the spick-slip vibration in four types of friction couples was investigated at two different engagement conditions respectively of which the amount of slip time and clutch travel was varied. Results are found as follows. First, the vibration increased at the condition of small engine torque and large torque fluctuations due to higher harmonics of engine speed. Second, the friction couple without a pre-damper has advantages of reducing the vibration. This study also suggested an evaluation method of vehicle vibration in the view point of human perception by using the frequency weighting of ISO2631-1.

• The Journal of the Korea Contents Association
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• v.12 no.2
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• pp.1-9
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• 2012

This paper presents an algorithm for depression diagnosis using the Neural Network with Weighted Fuzzy Membership functions (NEWFM) and heart rate variability (HRV). In the algorithm, 22 different features were initially extracted from the HRV signal by frequency domain, time domain, wavelet transformed, and Poincar$\acute{e}$ transformed feature extraction methods; of these 6 optimal features were selected by significance evaluation using Non-overlap Area Distribution Measurement (NADM) based on NEWFM. The proposed algorithm uses these 6 optimal features to diagnose depression with an accuracy of 95.83%.

• The Journal of the Korea Contents Association
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• v.10 no.6
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• pp.27-34
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• 2010

This paper presents a methodology for classifying left and right motor imagery using a neural network with weighted fuzzy membership functions (NEWFM) and wavelet-based feature extraction. Wavelet coefficients are extracted from electroencephalogram(EEG) signal by wavelet transforms in the first step. In the second step, sixty numbers of initial features are extracted from wavelet coefficients by the frequency distribution and the amount of variability in frequency distribution. The distributed non-overlap area measurement method selects the minimized number of features by removing the worst input features one by one, and then minimized six numbers of features are selected with the highest performance result. The proposed methodology shows that accuracy rate is 86.43% with six numbers of features.