• Title/Summary/Keyword: 고양이의 행동 특성

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Development of Versatile Furniture Design Considering the Behavior Characteristics of the Pet Cats (반려묘(猫)의 행동 특성을 고려한 가변형 가구디자인 개발 연구)

  • Lee, Sang-Ill
    • The Journal of the Korea Contents Association
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    • v.19 no.5
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    • pp.259-267
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    • 2019
  • As the change in social awareness regarding cats is consistent with the lifestyle of modern people who seek an independent life, the number of cats owned as a pet and its market will continue to increase. The compainion animals are not just pets to pet owners, but people communicate with their pets and the pets have begun to be recognized as a member of their family. Although the pet industry has been steadily growing and the number of cats owned by households is rapidly increasing, there is a lack of study on products based on understanding the characteristics and behavior of cats. The purpose of this study is to propose a versatile furniture design considering the behavior characteristics of cats. The versatile furniture that is easy to move and rearrange according to necessity and the environment of residential space always pays to make better use of the space. We would like to propose versatile furniture that can satisfy the aesthetic pleasures of cats and can be used as furniture at the same time depending on purpose and situation. This study aims to develop the design of furniture that can make a better environment for pets and pet owners, an it is expected to be a basic study of furniture design for them.

Population Size and Home Range Estimates of Domestic Cats (Felis catus) on Mara Islet, Jeju, in the Republic of Korea (제주 마라도에 서식하는 고양이(Felis catus)의 개체군 크기 및 행동권 추정)

  • Kim, Yujin;Lee, Woo-Shin;Choi, Chang-Yong
    • Korean Journal of Environment and Ecology
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    • v.34 no.1
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    • pp.9-17
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    • 2020
  • Domestic cats (Felis catus) introduced to insular environments can be invasive predators that often threaten endemic species and cause biodiversity loss or local extinction on the island. This study was conducted from March to July 2018 to understand the population size, home range, and spatial use of cats introduced to Mara Islet (N 33° 07', E 126° 16') in Jeju Special Governing Province, the Republic of Korea. Observation records based on their natural marks revealed that there were 20 adult cats on Mara Islet. A capture-recapture method also estimated 20 adult individuals (95% confidence interval: 20-24 individuals). According to our telemetry study on ten adults deployed with GPS-based telemetry units, the home range size was 12.05±6.99 ha (95% KDE: kernel density estimation), and the core habitat size was 1.60±0.77 ha (50% KDE). There were no significant differences in the home range and core habitat sizes by sex. The home range of domestic cats overlapped with the human residential area, where they might secure easy foods. Five of ten tracked cats were active at potential breeding colonies for the Crested Murrlet (Synthliboramphus wumizusume), and six approached potential breeding areas of the Styan's Grasshopper Warbler (Locustella pleskei), suggesting the predation risk of the two endangered species by cats. This study provides novel information on the population size and home range of introduced cats on Mara Islet which is an important stopover site of migratory birds as well as a breeding habitat of the two endangered avian species. Reducing the potential negative impacts of the introduced cats on migratory birds and the endangered species on Mara Islet requires monitoring of the predation rate of birds by cats, the population trends of cats and endangered breeding birds as well as the effective cat population control and management.

Cat Behavior Pattern Analysis and Disease Prediction System of Home CCTV Images using AI (AI를 이용한 홈CCTV 영상의 반려묘 행동 패턴 분석 및 질병 예측 시스템 연구)

  • Han, Su-yeon;Park, Dea-Woo
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.26 no.9
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    • pp.1266-1271
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    • 2022
  • Cats have strong wildness so they have a characteristic of hiding diseases well. The disease may have already worsened when the guardian finds out that the cat has a disease. It will be of great help in treating the cat's disease if the owner can recognize the cat's polydipsia, polyuria, and frequent urination more quickly. In this paper, 1) Efficient version of DeepLabCut for pose estimation, 2) YOLO v4 for object detection, 3) LSTM is used for behavior prediction, and 4) BoT-SORT is used for object tracking running on an artificial intelligence device. Using artificial intelligence technology, it predicts the cat's next, polyuria and frequency of urination through the analysis of the cat's behavior pattern from the home CCTV video and the weight sensor of the water bowl. And, through analysis of cat behavior patterns, we propose an application that reports disease prediction and abnormal behavior to the guardian and delivers it to the guardian's mobile and the server system.

Cat Behavior Pattern Analysis and Disease Prediction System of Home CCTV Images using AI (AI를 이용한 홈CCTV 영상의 반려묘 행동 패턴 분석 및 질병 예측 시스템 연구)

  • Han, Su-yeon;Park, Dea-woo
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2022.05a
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    • pp.165-167
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    • 2022
  • The proportion of cat cats among companion animals has been increasing at an average annual rate of 25.4% since 2012. Cats have strong wildness compared to dogs, so they have a characteristic of hiding diseases well. Therefore, when the guardian finds out that the cat has a disease, the disease may have already worsened. Symptoms such as anorexia (eating avoidance), vomiting, diarrhea, polydipsia, and polyuria in cats are some of the symptoms that appear in cat diseases such as diabetes, hyperthyroidism, renal failure, and panleukopenia. It will be of great help in treating the cat's disease if the owner can recognize the cat's polydipsia (drinking a lot of water), polyuria (a large amount of urine), and frequent urination (urinating frequently) more quickly. In this paper, 1) Efficient version of DeepLabCut for posture prediction running on an artificial intelligence server, 2) yolov4 for object detection, and 3) LSTM are used for behavior prediction. Using artificial intelligence technology, it predicts the cat's next, polyuria and frequency of urination through the analysis of the cat's behavior pattern from the home CCTV video and the weight sensor of the water bowl. And, through analysis of cat behavior patterns, we propose an application that reports disease prediction and abnormal behavior to the guardian and delivers it to the guardian's mobile and the main server system.

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