• Transactions of the Korean Society for Noise and Vibration Engineering
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• v.20 no.3
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• pp.287-295
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• 2010

This study deals with the design of a bi-directional damper using a tuned liquid damper(TLD) and a tuned liquid column damper(TLCD) for a SDOF building. Two dampers are usually needed to reduce wind-induced responses of tall buildings since they are along and across wind ones. The proposed damper has the advantage of controlling both responses with a single damper. The damper used in this study behaves as both a TLCD in a specific translational direction and a TLD in the other orthogonal direction. This paper presents experimental verification to confirm its control performance. First, shaking table test is carried out to investigate reducing responses by the damper. Control performance of the damper is expressed by the transfer function from shaking table accelerations to SDOF building ones. Testing results show that the damper reduced bi-directional responses of a SDOF building. Also, it reduced torsion responses.

• English Language & Literature Teaching
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• v.12 no.3
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• pp.227-242
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• 2006

In a post-modern society where things exist and events happen in the form of Baudrillardian simulation, alterity of the other is erased and transcendence is denied. Don DeLillo's White Noise depicts what may happen in a society where alterity and transcendence are experienced in the neutral and safe forms. It will be argued in this paper that such phenomena reflect the desire of the self to conquer the others and neutralize the existence of them for the self's enduring safety and accomplishment. However, the attempt must fail due to inevitable death. The invincibility of death reminds one of the limit of his ability and the existence of uncontrollable part of the other. This paper will focus on DeLillo's critique of such a society, the affect of the existence of death as an invincible force, and his message about the way to live under these conditions.

• Electronics and Telecommunications Trends
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• v.29 no.6
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• pp.22-30
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• 2014

전기에너지를 기계에너지로 변환하는 기존의 브러시 있는 직류모터보다 고효율, 저소음, 제어용이성, 고내구성 특징을 가지는 브러시 없는 직류(BLDC: Brushless Direct Current)모터의 응용분야의 확대로 지속적으로 성장하는 BLDC 모터시장에 대응하기 위한 에너지 절감형 BLDC 모터구동시스템 기술개발이 절실히 요구되는 실정이다. 이에 따라, 본고에서는 일반차량 및 PHEV(Plug-in Hybrid Electric Vehicle)/EV(Electric Vehicle) 등 그린자동차용, 에어컨, 세탁기, 냉장고 등 그린백색 가전용, 산업용 건조기, ATM, 자판기 등 그린산업 기기용 BLDC 모터에 적용할 수 있는 에너지 절감기능이 우수한 BLDC 모터, BLDC 모터구동회로, 고전압 파워소자구동회로, 고전압 파워소자로 구성된 BLDC 모터구동시스템 기술동향에 대해 논의하고자 한다.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.22 no.5
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• pp.740-746
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• 2018

Up until now, attempts to produce computer instruments have been largely focused on two types of sampling methods and physical modeling. Since the sampling method removes much of the harmonics in the sampling process, the effect of exciter that emphasizing the harmonic of the strings are mini. However, the physical modeling method can produce a lot of harmonics, and by emphasizing the harmonics of a particular frequency band among these harmonics, it is possible to produce a sound more like a lively sound. In this paper, we propose a method of using white noise in realizing exciter emphasizing harmonics of pre - specified frequency band in prefectural physical modeling. And comparing the envelope and spectrum of the Gayageum sound, we confirmed that the physical modeling method with the exciter is more suitable for the actual Gayageum sound than the sampling method and the conventional physical modeling method.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.38 no.1
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• pp.64-72
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• 2010

Due to the interaction between main oxidizer flow and the wall injected flow resulting from the regression process, a specific time characteristics identified in the frequency spectrum of streamwise velocity is generated in the hybrid rocket motor. In order to understand the response of the turbulent flow to two different types of external momentum forcing, LES analysis was conducted without considering the combustion. It turns out that both concentrated and distributed forcings do not lead to the disastrous resonance phenomenon. Energy contents are enhanced due to the added momentum but the peak frequency was not modified in the turbulent flow near the end of the rocket motor. Natural frequency of the flow system should be taken into account to further pursue the instability issue by using external forcing.

• Journal of KSNVE
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• v.9 no.4
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• pp.849-855
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• 1999

Neural Networks have shown potential to become an attractive alternative to classic methods for identification and control of non-linear dynamic systems. The purpose of this paper is to present an application of neural networks, that is a neural reconstruction of the input signal of a non-linear unknown system. This basic methodology could be used for practical purpose in several engineering fields. Clearly applications of the proposed scheme can be of interest for physical systems where a complete network of sensors measuring system inputs is not available. It should also be emphasized that the application of the reconstruction scheme is of little or no interest when the analyzed system works and operates at nominal conditions. In fact, only when failures and/or system anomailes occur, leasing to performance degradation and/or shutdown, the application of this scheme is of interest. The paper presents the results of the methodology applied to unknown non-linear dynamic systems and the robustness of the scheme to white and colored system noise was evaluated.

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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• 1995.04a
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• pp.147-152
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• 1995

실험에 의한 모우드 해석 방법들은 1980년대부터 활발히 연구되어 많은 새로운 방법들이 개발되어 발표되었다. 그러나 개발된 대부분의 방법들은 측정된 데이타를 일괄처리하는 밸치(또는 off-line) 방법들이다. 최근에는 시간에 따라서 변하는 구조물의 동특성을 규명하는 분야에 모우드 해석 방법이 응용되어 사용되고 있다. 이러한 응용분야에서는 모우드 변수들의 변화되는 값을 새로운 데이타가 샘플링 될 때마다 그 값들을 수정하면서 추정할 수 있는 회귀적인(recursive 또는 on-line) 방법을 사용하여야 한다. Davies와 Hammond[1]는 회귀적 선형 자승법(Recursive Least Squares : RLS)을 이용하여 모우드 변수를 구하고 이를 벧치방법인 Instrumental Variable 방법과 Fourier 방법의 결과와 비교하였다. 그러나, 그 결과에서 보여준것처럼 RLS 방법은 잡음 대 시호비가 낮을 때에만 모우드 변수 값들을 정확하게 추정할 수 있었다. Sundararajan과 Montgomrey[2]는 회귀적 선형 최소자승 격자필터(lattice filter)를 이용하여 구조물의 차수(order)와 고유진동형, 그리고 진폭을 결정한 후 이를 토대로 회귀적 gradient형태의 방정식 오차 규명 방법(equation-error identification algorithm)에 의하여 모우드 변수들을 추정하였다. 이 방법은 2차원 격자구조물의 모우드 변수 추정에 사용되었으며, 또한 적응모우드제어에도 성공적으로 이용되었다. 그러나, 이 방법도 잡음 대 신호비가 낮은 환경에서만 사용할 수 있다는 단점이 있다. 위에서 언급한 방법들은 모두 RLS 방법을 기초로 하여 개발되었으나, RLS 방법은 전형적인 결정적(deterministic)방법으로서 잡음이 섞인 데이타를 처리하기에는 부적절한 방법임이 널리 알려진 사실이다[3]. 최근에 Ben Mrad와 Fassois[4]는 신호에 잡음이 존재하여도 이를 잘 처리할 수 있는 확률적(stochastic) 방법을 개발하여 기존의 결정적 방법들과 그 결과를 비교하였다. 그러나, 개발된 방법은 응답 신호에 백색잡음(white noise)이 섞이는 특수한 경우에만 사용할 수 있게 만들어져서 이 방법의 실질적인 적용에는 어려움이 있다. 본 연구에서는 기존의 방법들의 단점을 극복할 수 있는 새로운 회귀적 모우드 변수 규명 방법을 개발하였다. 이는 Fassois와 Lee가 ARMAX모델의 계수를 효율적으로 추정하기 위하여 개발한 뱉치방법인 Suboptimum Maximum Likelihood 방법[5]를 기초로 하여 개발하였다. 개발된 방법의 장점은 응답 신호에 유색잡음이 존재하여도 모우드 변수들을 항상 정확하게 구할 수 있으며, 또한 알고리즘의 안정성이 보장된 것이다.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 1999.03a
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• pp.127-132
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• 1999

Cardiovascular, respiratory and electrodermal responses to acute stress episodes modeled by combined presentation of intense white noise and performance of word recognition task with noise background were studied in 15 college students. Experimental procedure consisted in sessions with white noise, word recognition task presentation with noise background and test with noise background. Recorded physiological variables were analyzed in terms of their sensitivity to detect activation of sympathetic and parasympathetic branches of autonomic nervous system and thus reflect autonomic arousal level during shout-term stress-inducing experimental manipulations. It was shown that performance of effortful mental task with noise background elicited significant physiological responses typical for active coping behavior, namely electrodermal arousal and increased cardiovascular activity. this response profile was more profound as compared to white noise only or attending task in noise background. However, all physiological responses were mostly phasic, without long-term tonic changes, since almost all variables recovered to their initial baseline levels, suggesting that dominant autonomic mechanisms in transient acute stress episodes were of parasympathetic nature (withdrawal in stress with subsequent activation in restoration period), while sympathetic contribution was not long-lasting. Nevertheless, increased number of stressors and their longer exposure may result in higher profile of tonic sympathetic arousal and reduced functional role of vagal mechanisms in autonomic balance regulation.

• The Journal of the Korea institute of electronic communication sciences
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• v.13 no.4
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• pp.865-874
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• 2018

This paper is about a smart pillow, and a smart diaper. The smart pillow analyzes the frequency of a baby's cry and applies its digital value to the band pass filter. If the crying is between 300-600Hz, the white noise comes out. The smart diaper alerts to the smart phone if the humidity outside the diaper is over 99%, or the temperature is over $29^{\circ}C$ after the defecation of the baby. The smart diaper also prevents choking of the baby by alert to smart phone if they are in a dangerous position by sensing the location of the infant.

• Journal of rehabilitation welfare engineering & assistive technology
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• v.11 no.1
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• pp.45-52
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• 2017

EEG signals that are the same as those that have the same disabled people. So, the EEG signals are becoming the next generation. In this paper, we propose an internet of things system that controls the indoor environment using EEG signal. The proposed system consists EEG measurement device, EEG simulation software and indoor environment control device. We use data as EEG signal data on emotional imagination condition in a comfortable state and logical imagination condition in concentrated state. The noise of measured signal is removed by the ICA algorithm and beta waves are extracted from it. then, it goes through learning and test process using SVM. The subjects were trained to improve the EEG signal accuracy through the EEG simulation software and the average accuracy were 87.69%. The EEG signal from the EEG measurement device is transmitted to the EEG simulation software through the serial communication. then the control command is generated by classifying emotional imagination condition and logical imagination condition. The generated control command is transmitted to the indoor environment control device through the Zigbee communication. In case of the emotional imagination condition, the soft lighting and classical music are outputted. In the logical imagination condition, the learning white noise and bright lighting are outputted. The proposed system can be applied to software and device control based BCI.