• The Journal of Korean Institute of Communications and Information Sciences
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• v.39C no.8
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• pp.731-737
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• 2014

This paper presents abnormal behavior detection in crowd within surveillance video. We have defined below two cases as a abnormal behavior; first as a sporadically spread phenomenon and second as a sudden running in same direction. In order to detect these two abnormal behaviors, we first extract the motion vector and propose a new descriptor which is combined MHOF(Multi-scale Histogram of Optical Flow) and DCHOF(Directional Change Histogram of Optical Flow). Also, binary classifier SVM(Support Vector Machine) is used for detection. The accuracy of the proposed algorithm is evaluated by both UMN and PETS 2009 dataset and comparisons with the state-of-the-art method validate the advantages of our algorithm.

• Journal of Veterinary Clinics
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• v.7 no.2
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• pp.521-525
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• 1990

The present investigation confirms the zoonotic significance of Microspoum canis infection in five patients who had direct contact with diseased dogs and cats. Typical ringworm type lesions were mainly encountered on the exposed areas of the body. M. canis was isolated from the cutaneous lesions of man ana infected pets ; and also directly demonstrated in skin materials. However, the fungus could neither be recovered from the non-contact group nor from the saprobic environment. The isolates from man, dog, and cat showed similar gross as well as microscopic morphology. Further genetic studies so indicated that all the human and animal isolates of M. canis were(-) mating type. It is believed that transmission of zoophilic dermatophytes from animal to man occurs more commonly with direct exposure. In addition, the epidemiology and preventive measures are also discussed.

• The Transactions of the Korean Institute of Electrical Engineers D
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• v.54 no.5
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• pp.300-306
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• 2005

In this paper we present a guideline to evaluate how easy the use of personal robots is and how good their learning abilities are, based on the analysis of their built-in commands, user interfaces, and intelligences. Recently, we are living with robots that can be able to do lots of roles; cleaning, security, pets and education in real life. They can be classified as home robots, guide robots, service robots, robot pets, and so on. There we, however, no standards to evaluate their abilities, so it is not easy to select an appropriate robot when a user wants to buy it. Thus, we present, as a guideline that can be a standard for the evaluation of the personal robots, the standards by means of analyzing existing personal robots and results of the recent research works. We will, also, demonstrate how to apply the evaluation method to the cleaning robot as an example.

• Korean Journal of Veterinary Service
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• v.45 no.3
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• pp.237-242
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• 2022

The simultaneous analysis of mycotoxins using LC-MS/MS, a food official analysis method, was applied with compound feed for pets with high consumer preferences. In this study, the linearity of all calibration curves showed good linearity of 0.99 or more. and both the accuracy (recovery rate) and precision (repeatability) criteria of the concentration range for each mycotoxin in the National Agricultural Products Quality Management Service's Validation and Verification Guidelines were met. And as a result of analyzing FAPAS QCM in the same way, it was assesed that the z-scores of Aflatoxin B₁, Ochratoxin A, Zearalenone, and Fumonisin B₁, were within ±2 range. This study showed that the application of the food official analysis method to compound feed for pets is suitable.

• Journal of the Korean Crystal Growth and Crystal Technology
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• v.33 no.1
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• pp.31-36
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• 2023

The number of people living with a pets is increasing. The size of related industries are expanding. There is an increasing demand for various designs, functions, and materials for pet accessories. Therefore, this study proposes the development of a pet jewelry design using a phosphorescent pigment. The phosphorescent pigments have an advantage of emitting light by themselves even in dark places. The final design was derived by manufacturing this as a gemstone cutting-type resin and applying it to the development of jewelry design for pets.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.23 no.6
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• pp.133-137
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• 2023

In this paper, we developed a 'comprehensive pet management application' that combines pet AI diagnosis, animal hospital search, smart household accounts, and community functions. The application can solve the inconvenience of users who have to use multiple functions as separate applications, and can easily use pet AI diagnosis services through photos, provides animal hospital information using crawling, finds nearby animal hospitals, and supports smart households that can scan receipts using OCR text extraction techniques. By using this application, information necessary for raising pets such as health and consumption details of pets can be managed in one system.

• Journal of Life Science
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• v.30 no.11
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• pp.1021-1032
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• 2020

Numbers of companion animals and people rearing them are increasing in developed countries. As a result, businesses related to companion animals are becoming more advanced and specialized. Dogs have been cohabiting with humans as companions (pets) for thousands of years and, as a result, eat carbohydrate-rich foods similar to humans and maintain lives similar to their owners. Tight bonds between dogs and their owners are formed by sharing similar lifestyles, including a dwelling and food. Owners are responsible for their pets and treat them with emotional stability. Pets depend on their owners, although the food situation can cause stress. Since pet dogs are carnivorous in nature, providing pet dogs with a nutritionally balanced diet and functional materials is important for a healthy gut microbiome. Recently, the gut microbiota has become a research focus because it is associated with protection from harmful pathogens and immune regulation while maintaining physiological homeostasis. An abnormal gut microbiota is related to pathogenic processes and various gut, metabolic, mental, and neurological diseases. Additionally, pet dogs at risk of disease affect the health of their owners. Therefore, this review discusses the composition and diversity of the gut microbiota of dogs and the relationships between the gut microbiota and diseases.

• Review of KIISC
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• v.14 no.1
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• pp.56-64
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• 2004

유비쿼터스 컴퓨팅은 정보주체의 자기정보관리를 요구한다. 우리나라에서는 최근 프라이버시 보호에 관해 몇 가지 주목할만한 진전이 있었지만 아직 정보주체의 자기정보관리를 효과적으로 뒷받침할 수 있는 법 제도나 기술개발이 충분히 이루어지지 못하고 있는 실정이다. 특히 사회적 신뢰는 매우 낮은 수준에 있다. 만약 지금 상태로 u-컴퓨팅 시대를 맞이한다면 우리사회는 심각한 혼란에 빠지게 될 지도 모른다. 국가적으로 프라이버시 보호에 관한 획기적인 대책이 요구된다. 선도적 집단들은 우리 사회의 신뢰수준을 높이는데 진력해야 하고 정부는 관련 법제도 정비와 PETs 개발에 적극 나서야 할 것이다.

• Journal of Preventive Medicine and Public Health
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• v.33 no.3
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• pp.271-279
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• 2000

Objectives : To assess the seroprevalence and risk factors of toxoplasmosis in high school students in Cheju Province, Korea. Methods : A total of 4,570 high school students from 18 schools in Cheju Province were investigated for Toxoplasma gondii antibodies(IgG) by enzyme linked immunosorbent assay (ELISA). Risk factors for toxoplasmosis, such as place of residence, type of house, contact with cats and other pets, and rare meat consumption, were examined by questionnaire. Results . The overall antibody positive rate was 5.5% and ranged from 2.6 to 11.5% by school. There was no significant difference between males and females. Statistical analyses of the questionnaire data indicated that the risk factors for seropositivity were: (1) birth place (Cheju/others), (2) place of residence (rural/urban), (3) dietary habits (vegetarian/non vegetarian), (4) eating rare meat, (5) exposure to pets and (6) hepatitis B. Conclusion : We confirmed that the prevalence of the anti-Toxoplasma gondii antibody in a population of high school students in Cheju Province was to the previously reported prevalence.

• Journal of KIISE:Software and Applications
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• v.37 no.4
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• pp.305-310
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• 2010

In this paper, we propose a heuristic algorithm for motion correspondence based on a point series similarity. A point series is a sequence of points which are sorted in the ascending order of their x-coordinate values. The proposed algorithm clusters the points of a previous frame based on their local adjacency. For each group, we construct several potential point series by permuting the points in it, each of which is compared to the point series of the following frame in order to match the set of points through their similarity based on a proximity constraint. The longest common subsequence between two point series is used as global information to resolve the local ambiguity. Experimental results show an accuracy of more than 90% on two image sequences from the PETS 2009 and the CAVIAR data sets.