• Title/Summary/Keyword: Pet dog

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A Study on the Purchasing Practices of Pet Dog's Apparel (애완견 의류 구매 실태에 관한 연구)

  • Kim, Jung-Sook;Kweon, Soo-Ae;Choi, Jong-Myoung
    • Journal of the Korean Society of Clothing and Textiles
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    • v.31 no.2 s.161
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    • pp.189-196
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    • 2007
  • The purpose of this study was to find out the purchasing practices and consumer's needs for pet dog apparel to provide useful information for the manufacture of pet dog's apparel. Data were obtained from 203 consumers who have purchased dog apparel(55 male, 148 female). 57.9% of them were 20-30 years old, 27.9% were living in houses, 54.3% were apartment residents. The kinds of dog included were Shihtzu, Martise, and Yorkshireterrier, and 2/3 of the respondents own a single dog, the remainder have at least two dogs. The most important factor to consider when purchasing dog apparel was size, followed by comfort, design, and materials in that order, Most of the apparel was purchased with convenience as the primary consideration, and the average price was 10-30 thousands won, and the items were purchased at pet beauty shops or specialty shops. For materials, it showed that the majority preferred cotton or a cotton mixture which was woven or woven with knit. The survey revealed that the main purposes for the apparel were, in order, to protect the dog from cold weather and direct sunlight, to be good looks and to memorialize a special day. Consumers put the apparel on their dogs 1-3 times per week, on average, and also when they went out for a walk. They were satisfied with the design, color and quality of the material now on the market, but unsatisfied with size and price. They have a preference for cute, but simple designs and a functional style. The respondents wanted to have material that was mild or neutral, stain-resistant, and something that would repel insects.

Hybrid Fuzzy Association Structure for Robust Pet Dog Disease Information System

  • Kim, Kwang Baek;Song, Doo Heon;Jun Park, Hyun
    • Journal of information and communication convergence engineering
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    • v.19 no.4
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    • pp.234-240
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    • 2021
  • As the number of pet dog-related businesses is rising rapidly, there is an increasing need for reliable pet dog health information systems for casual pet owners, especially those caring for older dogs. Our goal is to implement a mobile pre-diagnosis system that can provide a first-hand pre-diagnosis and an appropriate coping strategy when the pet owner observes abnormal symptoms. Our previous attempt, which is based on the fuzzy C-means family in inference, performs well when only relevant symptoms are provided for the query, but this assumption is not realistic. Thus, in this paper, we propose a hybrid inference structure that combines fuzzy association memory and a double-layered fuzzy C-means algorithm to infer the probable disease with robustness, even when noisy symptoms are present in the query provided by the user. In the experiment, it is verified that our proposed system is more robust when noisy (irrelevant) input symptoms are provided and the inferred results (probable diseases) are more cohesive than those generated by the single-phase fuzzy C-means inference engine.

A Study on the Development of a Dog Fashion Show Program Using Metaverse (메타버스를 활용한 반려견 패션쇼 프로그램 개발 연구)

  • Jin-Beom, Pyeon;Hee-Eun, SunWoo;Yun-Seo, Hong;Jung-Yi, Kim
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.23 no.1
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    • pp.101-107
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    • 2023
  • The purpose of this study is to research and develop the concepts and functions of the Metabus dog fashion show. Currently, as the pet-related industry grows rapidly, the pet fashion industry is also naturally growing. However, unlike the fast-growing fashion industry, it was not enough to meet the needs of dog owners. Therefore, this study attempted to develop a metaverse dog fashion show by supplementing the problems that arise when purchasing existing pet clothes through metaverse. As a research method, first, a survey was conducted on the rise in the actual pet-related industry and the social trends of metaverse and virtual fashion shows. Second, the existing dog clothing purchase characteristics were examined through user demand analysis, and user needs were derived. Third, the appropriate form of content was established, and a new content consumption environment called metaverse was analyzed and derived. Finally, functions were derived and developed to give users satisfaction. In the future, it is necessary to study a clear payment system in connection with the actual dog clothing business based on this.

A study on Recognition of and Preference for Toy Breeds between Young and Older Generations (청년 세대와 중장년 세대 간 토이 견종 인지도와 선호도에 관한 연구)

  • Shin, Yeun-Ho
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.16 no.12
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    • pp.8853-8860
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    • 2015
  • This study is to identify recognition of and preference for toy breeds between young and older generations by investigating their understating on pet dogs, difference in pet preference and reasons behind their choice of dog breeds, recognition and preference by toy breeds. A survey was conducted among 137 youths and 60 elderlies in medium/large cities and rural areas. Collected data was processed with ${\chi}^2$-test to see statistical significance. The result showed a significance of p<0.01 in recognition of pet/companion animals and toy breeds, and in pet dog preference and reasons of dog choice, along with p<0.05 in recognition and preference by toy breeds. Thus, this research to provide basic information requires to widely understand characteristics of toy breeds throughout generations due to widespread preference for such breeds and to continue research on change factors in their level of recognition and preference for the right choice when he/she decides to raise a toy dog.

Recognition of Dog Breeds based on Deep Learning using a Random-Label and Web Image Mining (웹 이미지 마이닝과 랜덤 레이블을 이용한 딥러닝 기반 개 품종 인식)

  • Kang, Min-Seok;Hong, Kwang-Seok
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2018.10a
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    • pp.201-202
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    • 2018
  • In this paper, a dog breed image provided by Dataset of existing ImageNet and Oxford-IIIT Pet Image is combined with a dog breed image obtained through data mining on Internet and a random-label is added. this paper introduces to recognize 122 classes of dog breeds and 1 class that is not dog breeds. The recognition rate of dog breeds using both conventional DB and collection DB was improved 1.5% over Top-1 compared to recognition rate of dog breeds using only existing DB. The image recognition rate about non-dog image, was 93% recognition rate in case of 10000 random DBs.

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A Machine Learning Approach to Detect the Dog's Behavior using Wearable Sensors

  • Aich, Satyabrata;Chakraborty, Sabyasachi;Joo, Moon-il;Sim, Jong Seong;Kim, Hee-Cheol
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2019.05a
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    • pp.281-282
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    • 2019
  • In recent years welfare of animals is the biggest challenge because animals, especially dogs are widely recognized as pet as well as they are using as service animals. So, for the wellbeing of the dog it is necessary to perform objective assessment to track their behavior in everyday life. In this paper, we have proposed an automatic behavior assessment system for dogs based on a neck worn and tail worn accelerometer and gyroscope platform, and data analysis techniques that recognize typical dog activities. We evaluate the system based on the analysis of 8 behavior traits in 3 dogs, incorporating 2 breeds of various sizes. Our proposed framework able to reproduce the manual assessment that is based on the video recording which is treated as gold standard that exhibits the real-life use case of automated dog behavior analysis.

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Design of an Autonomous Eating Pet Robot

  • Park, Ch.S.;Choi, B.J.;Park, S.H.;Lee, Y.J.
    • 제어로봇시스템학회:학술대회논문집
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    • 2003.10a
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    • pp.855-858
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    • 2003
  • The trends of recent developed a pet robot which interacts with people are increased gradually. There are a few pet robots that are a robot dog, robot cat, and robot fish. The pet robot is featured that it is possible to sympathize and give pleasure to human. The pet robots express delight, sorrow, surprise, and hunger through the artificial intelligence. Previously, the pet robot has to exchange the battery when it is exhausted. Commercialized robots have a self-recharging function, which express hunger. Robot dog AIBO, SONY in Japan, checks the battery for expressing hunger. They find an energy station for recharge. While operation time of AIBO is 1 hour 30 minutes, recharging time is 2 hours. Recharging time is longer than operation time. During the recharge, they don't operate. We obtain a motivation for eating the battery when find the problem. In this paper, introduce an Autonomous Eating Pet Robot and propose a design for realization. The Autonomous Eating Pet Robot has a function that is the most basic instinct that is finding a food and evacuating.

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Dog Meat Foods in Korea (한국의 개고기 음식에 대한 고찰)

  • 안용근
    • The Korean Journal of Food And Nutrition
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    • v.12 no.4
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    • pp.397-408
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    • 1999
  • In the year of 1998 the heads of dog raised in Korea were 1,846,411 and the number of the households raising dogs is 819,112 which means that the heads of pet dog and edible dos were 819,112 and 1,027,299, respectively, because each house raised about one pet dog and one edible dog breeder raised hundreds of dog. in 1998 the number of exported dogs came to 28 heads and that of imported dogs was 296 heads. But edible dog that was slaughtered or processed has not been reported to be exported or imported. It is known that at the Shenyang Xingshan Food Ltd in Shenyang, Chinese, 300,000 heads of dogs were rais-ed slaughtered and processed of dog meat per year, and 20% of them were exported. In Korea the cook of dog meat is a special food culture with a long history. During the Chosun dynasty dog meat had been eaten to be cooked diversely such as Gaejangkuk(a soup) Suyuk(a boiled meat) Sundae(a sausage) Kui(a roasted meat) Gaezim(a steamed meat) Nurumi(a meat roasted or fried to which lot of spice paste are added) Gaesoju(an extract) Musulju(a wine) Musuldang(a sweet cane) Now it is cooked as Bosintang(a soup) Suyuk (a boiled meat) Jeongol (boiled meat mixed with spices vegetables and water on the pot) Duruchigi(boiled meat added spice vegatasble and slightly roasted) Muchim(boiled meat added by spice and mixed) Gaesoju(an extract) with the number of recipes lessened compared with those of the old times. The reason is due to the intervention and criticism from foreign countries. But foreigner's blame for the dog meat is absurd and excessive action because Korea raises exceptional dogs which are edible.

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Mite infestation rate of pet dogs with ear dermatoses (귀 피부병이 있는 애완견에서 진드기 감염률)

  • 박건수;박진성
    • Parasites, Hosts and Diseases
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    • v.34 no.2
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    • pp.143-150
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    • 1996
  • This study aimed to investigate the incidence of the canine ear dermatoses caused by mitts and the relativity of the causative mites of canine dermatoses to the pruritic dermatoses of the families possessing the pet dogs. Total 970 samples were collected from the lesional hairs and scales of the ear of pet dogs referred to Chung-Woon animal clinic in Seoul from January, 1990 to December, 1995. The mites were collected from the samples by means of the washing method . Presence of pruritic dermatoses in the families possessing the pet dog was evaluated. Among 2,147 mites collected from 970 samples, 2,117 specimens were Octonectes cwnotis and others were Scrcoptes conis (30 mites). O. cwnotis were found in 382 samples out of total 970 samples (39.4%) and S. cams were found in 3 samples (0.3%). Although two families out of 382 families that possessed the diseased pet dog by O. cwnotis had the family histories of pruritic dermatoses, their pruritic dermatoses were not related to the infestation by O. cwnotis. In conclusion, O. cwnotis, the most common canine mite producing pruritic ear dematoses, does not cause pruritic dermatoses in man.

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Evaluation of nutritional adequacy after investigating amino acid and mineral content in pet food distributed in South Korea

  • Ju-Hyeon Choi;Eunhee Chang;Hyung-Ju Seo;Yeong Gil Lee;Jihyun Kim;Guk-Tak Han;Seung Hwa Lee;Tae Woong Na
    • Analytical Science and Technology
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    • v.37 no.2
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    • pp.79-86
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    • 2024
  • Among the nutrients in feed, amino acids and minerals are important for the growth and development of pets. In particular, interest in nutritional components related to the health of pets is increasing as pet-raising households and pet food markets have recently grown. Therefore, in this study, 55 pet food products distributed in South Korea were purchased, and the content of 3 essential and conditionally essential amino acids (taurine, lysine, arginine) and 4 minerals (Ca, P, Na, K) was investigated. Among the three amino acids, arginine was found to have the highest content, and the average content was 1.79 and 1.37 % in cat and dog foods, respectively. On the other hand, the taurine content was the lowest, but it was found to be higher than the minimum requirement of 0.10 % for cats set by the American Association for Feed Control (AAFCO) and the European Federation of Pet Food Industries (FEDIAF). As a result of the four-component analysis of minerals, the content of Ca was found to be the highest, and the average content was confirmed to be 1.64 and 1.25 % in cat and dog food, respectively. On the other hand, Na was the lowest, but it was higher than the AAFCO minimum requirement and FEDIAF minimum requirement for young cat and dog food. Among all 55 samples examined, the content of the three amino acids and the four inorganic components was confirmed to be suitable for the recommended minimum intake and maximum allowable intake presented by AAFCO and FEDIAF.