• Journal of Biosystems Engineering
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• 제27권2호
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• pp.151-160
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• 2002

Cow image processing technique would be useful not only for recognizing an individual but also for establishing the image database and analyzing the shape of cows. A cow (Holstein) has usually the unique speckle pattern. In this study, the individual recognition of cow was carried out using the speckle pattern and the content-based image retrieval technique. Sixty cow images of 16 heads were captured under outdoor illumination, which were complicated images due to shadow, obstacles and walking posture of cow. Sixteen images were selected as the reference image for each cow and 44 query images were used for evaluating the efficiency of individual recognition by matching to each reference image. Run-lengths and positions of runs across speckle area were calculated from 40 horizontal line profiles for ROI (region of interest) in a cow body image after 3 passes of 5$\times$5 median filtering. A similarity measure for recognizing cow individuals was calculated using Euclidean distance of normalized G-frame histogram (GH). normalized speckle run-length (BRL), normalized x and y positions (BRX, BRY) of speckle runs. This study evaluated the efficiency of individual recognition of cow using Recall(Success rate) and AVRR(Average rank of relevant images). Success rate of individual recognition was 100% when GH, BRL, BRX and BRY were used as image query indices. It was concluded that the histogram as global property and the information of speckle runs as local properties were good image features for individual recognition and the developed system of individual recognition was reliable.

• 한국정밀공학회지
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• 제25권2호
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• pp.131-139
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• 2008

This paper presents a new saliency map which is constructed by providing dynamic weights on individual features in an input image to search ROI(Region Of Interest) or FOA(Focus Of Attention). To construct a saliency map on there is no a priori information, three feature-maps are constructed first which emphasize orientation, color, and intensity of individual pixels, respectively. From feature-maps, conspicuity maps are generated by using the It's algorithm and their information quantities are measured in terms of entropy. Final saliency map is constructed by summing the conspicuity maps weighted with their individual entropies. The prominency of the proposed algorithm has been proved by showing that the ROIs detected by the proposed algorithm in ten different images are similar with those selected by one-hundred person's naked eyes.

• 한국소음진동공학회:학술대회논문집
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• 한국소음진동공학회 2012년도 추계학술대회 논문집
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• pp.364-369
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• 2012

The vehicle sound classified into driving sound due to power-train, operating sound due to electric motor like sunroof, door lock and electronic sound. These vehicle sound has various features depend on the characteristic of sound that user required. And it based on cultural and regional difference of user. In this study, the user required vehicle sound characteristics for luxury sedan was investigated in overall viewpoint. And virtual target sound was developed through the result of user preference investigation. Next, Jury test was carried out in Germany, USA and Korea for evaluating the target sound. And the regional and individual difference of preference was analyzed through the result of jury test. This result of research will be contributed to design of vehicle sound quality and target sound setting.

• 말소리와 음성과학
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• 제1권2호
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• pp.95-103
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• 2009

We investigated the perceptual structure of Korean consonants by analyzing the confusion among consonants in various vowel contexts. The 36 CV syllable types combined by 18 consonants and 2 vowels (/i/ and /u/) were presented with masking noises or in degraded intensity. The confusion data were analyzed by the INDSCAL (Individual Difference Scaling), ADCLUS (Additive Clustering) and the probability of the transmitted information. The results were compared with those of a previous study with /a/ vowel context (Bae and Kim, 2002). The overall results showed that the laryngeal features-aspiration, lax and tense-are the most salient features in the perception of Korean consonant regardless of vowel contexts, but the perceptual saliency of place features varies across vowel conditions. In high vowel (front and back vowel) contexts, sibilant consonants were perceptually salient compared to in low vowel contexts. In back vowel contexts, grave (labial and velar) consonants were perceptually salient. These findings imply that place features and vowel features strongly interact in speech perception as well as in speech production. All statistical measures from our confusion data ensured that the perceptual structure of Korean consonants correspond to the hierarchical structure suggested in the feature geometry (Clements, 1991). We discuss the link between speech perception and production as the basis of phonology.

• 정신신체의학
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• 제4권1호
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• pp.54-63
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• 1996

In this cluster analysis of out-patients with irritable bowel syndrome (IBS) we described the psychological features and personality patterns of these patients. The Minnesota Multiphasic Personality Inventory (MMPI) was administered to 29 IBS patients who received treatment in the gastroenterology department of Ajou University Hospital to produce individual profiles for each patient. The 29 profiles with 13 standard scales, 15 content scales and 11 personality scales were subjected to cluster analysis resulting in three clusters of the original sample. Titles used to describe the psychological features and personality patterns seen in the three clusters included : (1) depression and anxiety : (2) somatization and denial of affect ; (3) anger overcontrol. Future studies on the treatment of IBS patients may well consider these features, as IBS patients have different psychological patterns.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2000년도 하계학술대회 논문집 D
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• pp.3022-3024
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• 2000

Biometrics is the electronic recognition of individuals achieved through a process of extracting, and then verifying, features which are unique to that individual. This field is rapidly evolving technology that has to be widely adopted in a broad range of applications. Many methods have been studied such as extraction of the facial features, the voice, the vein and even a person's signature. Among biometrics, a hand veins provide large, robust, stable, hidden biometric features. Hand vein patterns have been proven to be absolutely unique by Cambridge Consultants Ltd. Because of this advantage, hand vein recognition are recently developing field in the field of a security.

• 디지털콘텐츠학회 논문지
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• 제12권3호
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• pp.319-327
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• 2011

클라우드 컴퓨팅은 인터넷상에 기업이나 소비자들에게 IT서비스를 제공하기 위한 유연하고 비용 효과적인 검증된 전송 플랫폼으로, 계산이나 데이터가 데스크탑이나 포터블 PC로부터 대규모 데이터센터로 이동하는 계기가 되었다. 이와 같은 클라우드 컴퓨팅 서비스의 활성화를 위해서는 현재 제공되거나 향후 제공될 서비스가 현재와 미래의 고객을 만족시키기 위해 개선되어야 할 서비스 품질요건에 대한 분석이 필수적이다. 본 연구는 클라우드 서비스 환경에서 서비스품질 규명을 위한 연구의 일환으로서, 탐색적 방법을 사용하여 기존 다양한 문헌을 분석하였으며, 이로부터 7가지의 클라우드 컴퓨팅의 서비스 특성과 세부속성들을 정의하였다.

• 대한세포병리학회지
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• 제4권1호
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• pp.41-44
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• 1993

A case of primary amelanotic melanoma of the vagina diagnosed in scraping smear is described. A 64-year-old woman complained of vaginal bleeding with a $2.5\times2cm$ sized, fungating mass on the right lateral vaginal wall near the introitus for 2 months. Scraping smears from the mass showed scattered individual tumor cells with single, bi- or multi-nucleated eccentric nuclei having prominent macrouucleoli and occasional intranuclear inclusions. The cytoplasm was plump and cyanophilic with a indistinct rim. No melanin pigment was identified. Characteristic cytologic features of this case were very helpful to exclude more common squamous cell carcinoma in the vagina, which was strongly suggested in biopsy specimen.

• Journal of Biosystems Engineering
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• 제17권2호
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• pp.143-155
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• 1992

The aim of this study is to develop a general purpose algorithm for analyzing geometrical features of agricultural products and microscopic particles regardless of their numbers, shapes and positions with a computer vision system. Primarily, boundary informations of an image were obtained by Scan Line Coding and Scan & Chain Coding methods and then with these informations, geometrical features such as area, perimeter, lengths, widths, centroid, major and minor axes, equivalent circle diameter, number of individual objects, etc, were analyzed. The algorithms developed in this study was evaluated with test images consisting of a number of randomly generated ellipsoids or a few synthesized diagrams having different features. The result was successful in terms of accuracy.

• BMB Reports
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• 제43권12호
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• pp.836-841
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• 2010

In the era of personal genomics, predicting the individual response to drug-treatment is a challenge of biomedical research. The aim of this study was to validate whether interaction information between genetic and transcriptional signatures are promising features to predict a drug response. Because drug resistance/susceptibilities result from the complex associations of genetic and transcriptional activities, we predicted the inter-relationships between genetic and transcriptional signatures. With this concept, captured genetic polymorphisms and transcriptional profiles were prepared in cancer samples. By splitting ninety-nine samples into a trial set (n = 30) and a test set (n = 69), the outperformance of relationship-focused model (0.84 of area under the curve in trial set, P = $2.90{\times}10^{-4}$) was presented in the trial set and validated in the test set, respectively. The prediction results of modeling show that considering the relationships between genetic and transcriptional features is an effective approach to determine outcome predictions of drug-treatment.