• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2017.05a
• /
• pp.733-734
• /
• 2017

Ultrasonic, infrared, and CCD cameras are typically used to obtain location information, but the error range is large depending on the surrounding environment. However, IR-UWB can be used for distance and location measurement both indoors and outdoors, Technology. It is possible to determine the existence and distance of an object by emitting a short signal width in units of 1 ns and using a reflected signal and a time delay. It is also possible to measure the exact position within the cm error irrespective of the environmental conditions. Since it processes a large number of reflection signals, we try to measure three-dimensional spatial coordinates by improving the noise by using the mean value of the signal, the band pass filter and the FFT.

• Journal of Digital Contents Society
• /
• v.14 no.1
• /
• pp.117-124
• /
• 2013

This paper suggests the robust method of extraction for moving objects in illumination variation by using image sequence from an immovable camera. The most difficult part of the implication is the effect by illumination and noise. The object area is hardly estimated when the dusky area occurs in illumination variation by time change. This thesis describes the extraction of moving objects employed by Gaussian mixture model which is noise robust measure. Also, the report suggests the elimination method of illumination part in input image by the representative illumination image which is defined to minimize the illumination influence.

• Journal of the Institute of Electronics Engineers of Korea SP
• /
• v.45 no.6
• /
• pp.88-94
• /
• 2008

A DCT-based energy-ratio measure for autofocus in digital camera is proposed in this paper. This measure, namely AC2DC1 and AC5DC1, determines the sharpness of an image using a ratio between AC and DC energy in the DCT domain. This method is derived from energy analysis of DCT coefficients. Autofocus score calculation method is used to assess the performance of the proposed measure and to compare it with other measures. Experimental results under various conditions verify the robustness of the proposed focus measure for the Gaussian as well as impulsive noises.

• Proceedings of the Korea Water Resources Association Conference
• /
• 2022.05a
• /
• pp.422-422
• /
• 2022

최근 기후변화와 도시화 등의 영향으로 인해 전 지구적으로 홍수 피해의 규모와 홍수발생 빈도가 증가하고 있다. 특히, 전 세계 인구의 약 50% 이상이 거주하고 있는 연안지역의 홍수피해 위험성은 급격히 증가하고 있는 추세이며, 각 국가는 홍수 피해를 저감하고 예방하기 위한 노력을 지속적으로 기울이고 있다. 본 연구에서는 연안지역의 감조하천을 대상으로 홍수 예경보 의사결정기법을 개발하고자 하였다. 이를 위해 감조하천에서 관측된 수위는 조석에 의한 수위(조석 성분), 파고에 의한 수위(파고 성분), 강우에 의한 수위(강우-유출 성분), 그리고 잡음에 의한 수위(잡음 성분)의 4가지 수문 성분으로 구성되어 있다고 정의하였고, 감조하천의 예측 강우 성분에 해당하는 예측 수위를 추정하기 위해 수위-유량 관계 곡선식을 개발하고자 하였다. 또한 각 수문 성분별 위기 경보 단계를 설정하고, Bayesian Network를 활용하여 수문 성분들의 위험을 종합적으로 고려할 수 있는 홍수 예·경보 의사결정 기법을 개발하였다. 3가지 난수 발생 방법에 따라 Bayesian Network 모형을 통해 다양한 수문 조건에 따른 조건부 확률을 산정하였으며, 정확도 검토를 수행한 결과 F-1 Socre가 25.1%, 63.5% 및 82.3%의 정확도를 보였다. 향후 본 연구에서 제시한 방법론을 활용한다면 기상청에서 제공하고 있는 예측 강우 및 GRM 모형을 통해 유출량을 산정하고, 이를 예측 수위로 변환하여 연안 지역의 홍수 위험도 매트릭스를 통해 홍수 예·경보에 대한 의사결정을 수행할 수 있을 것으로 판단된다.

• The Journal of the Acoustical Society of Korea
• /
• v.27 no.8
• /
• pp.418-426
• /
• 2008

In this paper, we propose an algorithm for the frequency channel segmentation using peaks and valleys in spectrogram. The frequency channel segments means that local groups of channels in frequency domain that could be arisen from the same sound source. The proposed algorithm is based on the smoothed spectrum of the input sound. Peaks and valleys in the smoothed spectrum are used to determine centers and boundaries of segments, respectively. To evaluate a suitableness of the proposed segmentation algorithm before that the grouping stage is applied, we compare the synthesized results using ideal mask with that of proposed algorithm. Simulations are performed with mixed speech signals with narrow band noises, wide band noises and other speech signals.

• The Journal of Korean Institute of Communications and Information Sciences
• /
• v.39C no.10
• /
• pp.887-895
• /
• 2014

Drowsy driving is a large proportion of the total car accidents. For this reason, drowsiness detection and warning system for drivers has recently become a very important issue. Monitoring physiological signals provides the possibility of detecting features of drowsiness and fatigue of drivers. Many researches have been published that to measure electroencephalogram(EEG) signals is the effective way in order to be aware of fatigue and drowsiness of drivers. The aim of this study is to extract drowsiness-related features from a set of EEG signals and to classify the features into three states: alertness, transition, and drowsiness. This paper proposes a drowsiness detection system using errors-in-variables(EIV) for extraction of feature vectors and multilayer perceptron (MLP) for classification. The proposed method evaluates robustness for noise and compares to the previous one using linear predictive coding (LPC) combined with MLP. From evaluation results, we conclude that the proposed scheme outperforms the previous one in the low signal-to-noise ratio regime.

• Journal of the Korean Society for Nondestructive Testing
• /
• v.35 no.1
• /
• pp.12-17
• /
• 2015

In this study, we analyzed and showed the enhanced thermal resolution of a lock-in infrared thermography system by employing a blackbody system and micro-register sample. The noise level or thermal resolution of an infrared camera system is usually expressed by a noise equivalent temperature difference (NETD), which is the mean square of the deviation of the different values measured for one pixel from its mean values obtained in successive measurements. However, for lock-in thermography, a more convenient quantity in the phase-independent temperature modulation amplitude can be acquired. On the basis of results, it was observed that the NETD or thermal resolution of the lock-in thermography system was significantly enhanced, which we consider to have been caused by the averaging and filtering effects of the lock-in technique.

• Proceedings of the KIEE Conference
• /
• 2003.07a
• /
• pp.271-273
• /
• 2003

최근에 전력선통신(PLC: power line communication)에 관한 연구 및 개발이 활성화되고 있는 가운데, 정부에서는 전력선통신을 위한 전송채널의 주파수허용범위를 기존의 협대역인 450kHz에서 광대역인 30MHz로 확대할 계획이다. 현재, PLC 시스템에서는 대용량정보를 고속으로 전송하기 위한 고속 PLC기술의 개발이 활발히 진행되어지고 있으며, 이러한 통신시스템 기술의 구현을 위해서는 새롭게 확대될 30MHz대역에서의 전력선채널의 분석이 무엇보다도 중요한 해결 과제라고 할 수가 있을 것이다. 전력선은 각종 전기기기와 가전제품 및 사무기기로부터 발생되는 잡음들이 직접 유입되며, 또한 부하가 전력선에 연결되는 시간과 공간에 따라 전송 특성이 수시로 가변하는 특성을 가진다. 이와 같은 열악한 전력선통신채널 환경을 극복하고 통신의 에러극복능력을 향상시키기 위해서는 기존의 협대역 채널모델을 그대로 적용하기에는 부적합한 면이 많으므로, 새롭게 허용될 광대역 주파수를 갖는 전력선 채널에 대한 모델링기법이 요구된다. 따라서, 새롭게 인가될 광대역 채널을 위한 효율적인 전력선통신시스템을 개발하기 위해서는 전력선채널의 리모델링에 근거한 다양하고 실험적인 고찰이 수반되어야 하리라고 판단된다. 그러므로, 본 논문에서는 Mixture 잡음 모델링기법을 이용하여, 부하변동 및 가변적인 잡음 특성을 가진 전력선채널모델을 새롭게 분석하였다. 또한, 새롭게 분석한 전력선채널모델에 관한 수식을 직교 코드에 의한 다중접속 통신 기술인 CDMA 방식에 적용하여 비트 에러율을 유도해 봄으로써 그 유효성을 확인하였다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2017.05a
• /
• pp.790-792
• /
• 2017

As the demand of digital image processing devices has been rapidly increased recently, the excellent image quality is required. However, degradation can be occurred with multiple causes during transmission and processing process. Therefore, the needs to eliminate the noise are increased and the noise elimination technology became the major study area. Therefore, image restoration algorithm was suggested to apply the filter differently by edge and non-edge areas, using modified edge detection with preprocessing process so as to relieve the effect of additive white Gaussian noise(AWGN) which is added in the image, in this article. In addition, it was compared with the existing methods using peak signal to noise ratio(PSNR) as the objective determination standard of the improvement effect.

• The Journal of Korean Institute of Communications and Information Sciences
• /
• v.34 no.9C
• /
• pp.922-927
• /
• 2009

Utilization problem of the limited spectrum is the one of the most important issues in wireless communication systems. Cognitive radio technique which is finding and utilizing frequency holes is also one of those techniques. Specially, the spectrum sensing technique to detect the primary user signal is a core technology in cognitive radio area. In this paper, we propose the spectrum sensing algorithm using Bussgang theorem. The proposed algorithm calculates the statistical difference between the Gaussian noise and the primary user signal by applying Bussgang theorem to the received signal. The algorithm is not affected by noise uncertainty and can detect the primary user signal in the very low SNR environment. We evaluate the algorithm through computer simulations with 12 ATSC A/74 DTV signal captures based on IEEE 802.22 WRAN and formulate the sensing threshold for the proposed scheme.