• 한국ITS학회 논문지
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• 제16권2호
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• pp.36-54
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• 2017

본 논문은 환경변화에 강인한 센서 융합 교통정보 수집 시스템을 제안한다. 제안된 시스템은 각 센서의 특징을 융합하여 영상 검지기에 비해 환경에 강인하고, 주 야간 등 시간에 영향을 받지 않으며 루프 검지기에 비해 유지보수에 드는 비용이 적다. 이는 레이더의 물체 추적 기법과 영상검지기의 차량분류, 적외선거리계의 신뢰성 높은 객체검지 정보를 융합하고 각 센서의 문제점을 보완하여 개선을 이루었다. 구현된 시스템을 보행자의 통행이 가능한 도로에서 주 야간 5일에 걸쳐 6시간 동안 실험한 결과 88.7%의 분류정확도와 95.5%의 차량 검지율을 나타내었다. 본 시스템의 파라미터 최적화 작업을 실험환경에 따라 적응되는 방식으로 보완한다면 교통정보 수집 체계의 고도화에 기여할 수 있을 것으로 기대된다.

• 로봇학회논문지
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• 제5권2호
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• pp.152-159
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• 2010

Finding a head of a person in a scene is very important for taking a well composed picture by a robot photographer because it depends on the position of the head. So in this paper, we propose a robust head tracking algorithm using a hybrid of an omega shape tracker and local binary pattern (LBP) AdaBoost face detector for the robot photographer to take a fine picture automatically. Face detection algorithms have good performance in terms of finding frontal faces, but it is not the same for rotated faces. In addition, when the face is occluded by a hat or hands, it has a hard time finding the face. In order to solve this problem, the omega shape tracker based on active shape model (ASM) is presented. The omega shape tracker is robust to occlusion and illuminationchange. However, whenthe environment is dynamic,such as when people move fast and when there is a complex background, its performance is unsatisfactory. Therefore, a method combining the face detection algorithm and the omega shape tracker by probabilistic method using histograms of oriented gradient (HOG) descriptor is proposed in this paper, in order to robustly find human head. A robot photographer was also implemented to abide by the 'rule of thirds' and to take photos when people smile.

• 제어로봇시스템학회논문지
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• 제16권4호
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• pp.339-345
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• 2010

This paper introduces GP(Genetic Programming) based robust corner detectors for scaled and rotated images. Various empirical algorithms have been studied to improve computational speed and accuracy including approaches, such as the Harris and SUSAN, FAST corner detectors. These techniques are highly efficient for well-defined corners, but are limited to corner-like edges which are often generated in rotated images. It is very difficult to detect correctly edges which have characteristics similar to corners. In this paper, we have focused the above challenging problem and proposed Genetic Programming-based automated generation of corner detectors which is robust to scaled and rotated images. The proposed method is compared to the existing corner detectors on test images and shows superior results.

• Journal of information and communication convergence engineering
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• 제8권6호
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• pp.640-644
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• 2010

When we talk with hands-free in a car or noisy lobby, the performance of the echo canceller degrade because background noise added to echo caused by the distance from mouth to microphone is relatively long. It gives a reason for necessity of noise-robust and high convergence speed adaptive algorithm. And if acoustic echo canceller operated not perfectly, residual signal going through the echo canceller to far-end speaker remains residual echo, which degrade quality of talk. To solve this problem, post-processing needed to remove residual echo ones more. In this paper, we propose a new acoustic echo canceller, which has noise robust and high convergence speed, linked with linear predictor as a post-processor. By computer simulation, it is confirmed that the proposed algorithm shows better performance from acoustic interference cancellation (AIC) viewpoint.

• ETRI Journal
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• 제30권6호
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• pp.807-817
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• 2008

We present a low-density parity-check (LDPC)-based, threaded layered space-time-frequency system with emphasis on the iterative receiver design. First, the unbiased minimum mean-squared-error iterative-tree-search (U-MMSE-ITS) detector, which is known to be one of the most efficient multi-input multi-output (MIMO) detectors available, is improved by augmentation of the partial-length paths and by the addition of one-bit complement sequences. Compared with the U-MMSE-ITS detector, the improved detector provides better detection performance with lower complexity. Furthermore, the improved detector is robust to arbitrary MIMO channels and to any antenna configurations. Second, based on the structure of the iterative receiver, we present a low-complexity belief-propagation (BP) decoding algorithm for LDPC-codes. This BP decoder not only has low computing complexity but also converges very fast (5 iterations is sufficient). With the efficient receiver employing the improved detector and the low-complexity BP decoder, the proposed system is a promising solution to high-data-rate transmission over selective-fading channels.

• 한국통신학회논문지
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• 제33권6A호
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• pp.685-692
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• 2008

본 논문에서는 Inmarsat (International Marine Satellite) mini-m 시스템의 하향 링크 수신기를 위한 timing recovery 루프를 제안한다. Inmarsat mini-m 시스템 규격에서 요구하는 frequency tolerance는 ${\pm}924$ Hz (signal bandwidth: 2.4 kHz) 이며, timing acquisition 시간은 하나의 UW (Unique Word) 신호 구간인 15ms 이기 때문에 주파수 옵셋에 강인하고 UW 신호 구간에서의 빠른 aquisition 이 가능한 루프 설계가 요구된다. 이에 따라 본 논문에서는 주파수 옵셋에 강인하고 빠른 aquisition 이 가능한 timing recovery 루프를 제안하였으며, 제안된 timing recovery 루프는 UW detector와 UW detector에 의해 검출된 UW 신호를 이용한 timing recovery 루프를 연동한 구조이다. UW detector는 주파수 옵셋 환경에서 안정적인 성능을 위해 차동 기반의 noncoherent detector 방식을 적용하였으며, TED (Timing Error Detector) 알고리즘은 기존의 GAD (Gardner Detector) 알고리즘 대신 본 논문에서 제안하는 UW 신호를 이용한 차동 기반의 ELD (Early Late Detector) 알고리즘 적용하였다. 제안된 방식과 기존의 GAD와의 성능 비교를 통해 제안된 방식이 만족스러운 성능과 신뢰성 있는 동작이 가능함을 입증하였다.

• 대한음성학회:학술대회논문집
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• 대한음성학회 2002년도 11월 학술대회지
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• pp.183-186
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• 2002

The speech detection is one of the important problems in real-time speech recognition. The accurate detection of speech boundaries is crucial to the performance of speech recognizer. In this paper, we propose a speech detector based on Mel-band selection through training. In order to show the excellence of the proposed algorithm, we compare it with a conventional one, so called, EPD-VAA (EndPoint Detector based on Voice Activity Detection). The proposed speech detector is trained in order to better extract keyword speech than other speech. EPD-VAA usually works well in high SNR but it doesn't work well any more in low SNR. But the proposed algorithm pre-selects useful bands through keyword training and decides the speech boundary according to the energy level of the sub-bands that is previously selected. The experimental result shows that the proposed algorithm outperforms the EPD-VAA.

• 전기학회논문지
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• 제56권3호
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• pp.615-622
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• 2007

In general, Harris detector is commonly used for finding salient points in watermarking systems using feature points. Harris detector is a kind of combined comer and edge detector which is based on neighboring image data distribution, therefore it has some limitation to find accurate salient points after watermark embedding or any kinds of digital attacks. In this paper, we have used cross reference points which use not data distribution but geometrical structure of a normalized image in order to avoid pointing error caused by the distortion of image data. After normalization, we find cross reference points and take inverse normalization of these points. Next, we construct a group of triangles using tessellation with inversely normalized cross reference points. The watermarks are affine transformed and transformed-watermarks are embedded into not normalized image but original one. Only locations of watermarks are determined on the normalized image. Therefore, we can reduce data loss of watermark which is caused by inverse normalization. As a result, we can detect watermarks with high correlation after several digital attacks.

• 대한음성학회지:말소리
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• 제48호
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• pp.107-116
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• 2003

This paper deals with a new parameter for voice detection which is used for many areas of speech engineering such as speech synthesis, speech recognition and speech coding. CV (Coefficient of Variation) of speech spectrum as well as other feature parameters is used for the detection of speech. CV is calculated only in the specific range of speech spectrum. Average magnitude and spectral magnitude are also employed to improve the performance of detector. From the experimental results the proposed voice detector outperformed the conventional energy-based detector in the sense of error measurements.

• 설비공학논문집
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• 제26권5호
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• pp.240-246
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• 2014

A fault detector was developed for heat exchangers of a hybrid heat pump (HP) for household. The proposed detector can be applied directly to raw operating data. It is to monitor a tracking error between a measured saturation temperature and its state observer. The observer was estimated from a state-space model simulating dynamics of a heat exchanger. The real hybrid HP was substituted with a dynamic simulator that implemented two-phased heat transfer and was validated by experimental data. And artificial fault data were generated using the simulator. Diagnosing the data showed the following. The residual calculated from the state observer error shows a relatively robust consistency with respect fouling level. The fault detector is practically useful because it detects a threshold fouling beyond which the performance starts to deteriorate significantly.