• Journal of Advanced Navigation Technology
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• v.12 no.3
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• pp.280-285
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• 2008

The traditional face detection method is to use difference picture method are used to detect movement. However, most do not consider this mathematical approach using real-time or real-time implementation of the algorithm is complicated, not easy. This paper, the first to detect real-time facial image is converted YCbCr and RGB video input. Next, you convert the difference between video images of two adjacent to obtain and then to conduct Glassfire Labeling. Labeling value compared to the threshold behavior Area recognizes and converts video extracts. Actions to convert video to conduct face detection, and detection of facial characteristics required for the extraction and use of AdaBoost algorithm.

• Proceedings of the KIEE Conference
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• 2004.07c
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• pp.1879-1881
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• 2004

변압기의 고체절연이 열화 되거나 불순물 및 수분이 혼입되어 그러한 결함부분에 임계치 이상의 고전계가 인가되면 부분방전이 발생한다. 현재 변압기에서 부분방전을 검출하기 위하여 부싱탭을 이용하거나 전류센서, 초음파센서 등을 이용하여 부분방전을 검출하고 있지만 전기적인 부싱탭이나 전류센서를 이용한 검출방법은 주변 잡음의 영향을 많이 받고 초음파법은 감도가 낮다는 단점을 가지고 있다. 본 연구에서는 이와 같은 단점을 보완할 수 있는 방안으로서 전자파를 이용한 부분방전 측정에 대한 기초연구를 실시하였으며, 변압기운전중에 전자파측정에 의한 부분방전감시가 가능한 것으로 나타났다.

• Journal of Satellite, Information and Communications
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• v.8 no.1
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• pp.61-65
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• 2013

In this paper, we propose system model to solve conventional threshold problem of using fixed false alarm for energy spectrum sensing. Spectrum sensing reliability is ensured when Secondary user have high SNR. Thus, it is not reasonable using fixed optional false alarm without considering CR user's SNR. So, we propose adaptive threshold method. adaptive threshold is decided by controling FA according to CR user's SNR.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.24 no.4
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• pp.335-341
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• 2006

This paper aims at developing an efficient method that extracts building using local spatial association of raw LiDAR data without setting up empirical variables such as a minimum building area, and applying the method to survey data to evaluate the efficiency of that. To do this, LISA(Local Indicatiors of Spatial Association) statistics are used which reflect local variations that can be appeared in the research area. It can be also a preprocess that detects spatial outliers through the significance test of LISA statistics and interpolate using kernel estimation. Boundaries of buildings as well as buildings can be extracted based on quadrant of Moran Scatterplot. Experimental results show that the proposed method is promising in extracting buildings from LiDAR data automatically.

• The Journal of the Acoustical Society of Korea
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• v.22 no.7
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• pp.519-527
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• 2003

Speech is much influenced by the existence of outliers which are introduced by such an unexpected happenings as additive background noise, change of speaker's utterance pattern and voice detection errors. These kinds of outliers may result in severe degradation of speaker recognition performance. In this paper, we proposed the GMM based on robust principal component analysis (RPCA-GMM) using M-estimation to solve the problems of both ouliers and high dimensionality of training feature vectors in speaker identification. Firstly, a new feature vector with reduced dimension is obtained by robust PCA obtained from M-estimation. The robust PCA transforms the original dimensional feature vector onto the reduced dimensional linear subspace that is spanned by the leading eigenvectors of the covariance matrix of feature vector. Secondly, the GMM with diagonal covariance matrix is obtained from these transformed feature vectors. We peformed speaker identification experiments to show the effectiveness of the proposed method. We compared the proposed method (RPCA-GMM) with transformed feature vectors to the PCA and the conventional GMM with diagonal matrix. Whenever the portion of outliers increases by every 2%, the proposed method maintains almost same speaker identification rate with 0.03% of little degradation, while the conventional GMM and the PCA shows much degradation of that by 0.65% and 0.55%, respectively This means that our method is more robust to the existence of outlier.

• Journal of fish pathology
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• v.9 no.2
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• pp.169-176
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• 1996

An indirect double antibody enzyme-linked immunosorbent assay (ELISA) was developed for rapid detection of a new virus isolated from abnormally swimming salmonid fish, RVS (Retrovirus of salmonid). Results using brain tissue homogenates, and infected cell cultures are described. The sensitivity of the methods is $10^{2.6}$ $TCID_{50}/100{\mu}l$ of the examined cell culture fluid. The specificity was confirmed by the ELISA inhibition test and virological examinations. Viral antigen could be detected in artificially infected fish tissue homogenates. The assay will allow the diagnosis of RVS-infected fish within a day.

• KIPS Transactions on Software and Data Engineering
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• v.9 no.12
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• pp.431-438
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• 2020

In this paper, the method to extract lip contour by multiple threshold is proposed. Spyridonos et. el. proposed a method to extract lip contour. First step is get Q image from transform of RGB into YIQ. Second step is to find lip corner points by change point detection and split Q image into upper and lower part by corner points. The candidate lip contour can be obtained by apply threshold to Q image. From the candidate contour, feature variance is calculated and the contour with maximum variance is adopted as final contour. The feature variance 'D' is based on the absolute difference near the contour points. The conventional method has 3 problems. The first one is related to lip corner point. Calculation of variance depends on much skin pixels and therefore the accuracy decreases and have effect on the split for Q image. Second, there is no analysis for color systems except YIQ. YIQ is a good however, other color systems such as HVS, CIELUV, YCrCb would be considered. Final problem is related to selection of optimal contour. In selection process, they used maximum of average feature variance for the pixels near the contour points. The maximum of variance causes reduction of extracted contour compared to ground contours. To solve the first problem, the proposed method excludes some of skin pixels and got 30% performance increase. For the second problem, HSV, CIELUV, YCrCb coordinate systems are tested and found there is no relation between the conventional method and dependency to color systems. For the final problem, maximum of total sum for the feature variance is adopted rather than the maximum of average feature variance and got 46% performance increase. By combine all the solutions, the proposed method gives 2 times in accuracy and stability than conventional method.

• Journal of Advanced Navigation Technology
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• v.14 no.2
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• pp.191-197
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• 2010

Many does an application and application but the image analysis of face detection considerably is difficult. In order for with effect of the illumination which is irregular in the present paper America the illumination to range evenly in the face which is detected, detects a face territory, Complemented the result which detects only the front face of existing. With LAB color illumination revisions compared in Adaboost face detection of existing and 32% was visible the face detection result which improves. Bought two images which are input and executed Glassfire label rings. Compared Area critical price and became the area of above critical value and revised from RGB smooth anger and LAB images with LCFD system algorithm. The operational conversion image which is extracted like this executed a face territory detection in the object. In order to extract the feature which is necessary to a face detection used AdaBoost algorithms. The face territory remote login with the face territory which tilts in the present paper, until Multi-view face territory detections was possible. Also relationship without high detection rate seems in direction of illumination, With only the public PC application is possible was given proof user authentication field etc.

• Proceedings of the KIEE Conference
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• 2011.07a
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• pp.1556-1557
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• 2011

변압기의 고체 절연이 열화 되거나 불순물 및 수분이 혼입되어 임계치 이상의 고전계가 인가되면 결합부분에서 부분방전이 발생한다. 현재 변압기에서 부분방전을 검출하기 위해서는 부싱탭을 이용하거나 전류센서, 초음파센서 등을 이용하여 부분방전을 검출하고 있지만 전기적인 부싱탭이나 전류센서를 이용한 검출 방법은 주변 잡음의 영향을 많이 받고 초음파법은 감도가 낮다는 단점을 가지고 있다. 이에, UHF 방식을 이용한 부분방전 검출 기술이 전력기기의 초기 고장진단을 발견하는 효과적인 방법으로 인식되고 있다. 최근에는 이러한 UHF 진단방식의 높은 감도, 외부노이즈에 대한 적은 영향, 온라인 측정의 가능성의 장점으로 전력용 변압기에도 적용되고 있다. 본 논문에서는 전력 변압기에서 PD 진단에 적합한 UHF 센서의 개발에 대해서 소개한다. 제안된 UHF 센서는 광대역(500 ~ 1,500MHz)에서 측정이 가능하며 감도가 우수하며 특정 대역에서 공진점을 가지는 다중 공진 모노폴 안테나 타입이다. 안테나 시뮬레이션 및 해석을 통해 유중 부분방전을 모의하여 감도 측정을 실시한 결과 제안된 UHF 센서가 전력용 변압기의 부분방전 측정에서 높은 감도를 나타냈으며, 기존 측정 방식의 단점을 보완할 수 있는 방안으로서 전자파를 이용한 부분방전 측정에 대한 기초연구를 실시하여 변압기 운전중에 전자파 측정에 의한 부분방전 감시가 가능한 것으로 나타났다.

• Korean Journal of Fisheries and Aquatic Sciences
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• v.27 no.6
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• pp.682-689
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• 1994

Ninety-six specimens of nine puffer fishes landed at a fish market of Pusan, Korea were assayed for anatomical distribution of toxicity. The puffers, Lagocephalus gloveri ('geommilbog'), Fugu rubripes rubripes ('jajubog'), Fugu rubripes chinesis ('geomjajubog'), Lagocephalus wheeleri ('hinmilbog') and Arothron firmamentum ('byeolbog'), were shown to be nontoxic in muscle and skin. However, toxicities in skins of four specimens of Lagocephalus gloveri and a specimen of Arothron firmamentum were more than 10MU/g In the puffer, Fugu xanthopterus ('ggachibog'), the skin showed to be weakly toxic as far as nine specimens out of 27 ones are concerned, and the muscle was nontoxic in all specimens. Meanwhile, it was noted that the puffer, Fugu vermicularis radiatus was found to be a toxic species, differing from the toxicity known so far. Their highest toxicities were 3,880, 1,191, 1,115, 219, 289, 5,620 and 753MU/g for liver, intestine, skin, muscle, testis, ovary and bile, respectively.