• The Journal of the Korea Contents Association
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• v.18 no.12
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• pp.140-149
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• 2018

Along with the recent increase in national income, social phenomena such as aging due to a decrease in population and an increase in single households are observed. There are also an increasing number of households raising pets in proportion to aging households and the increase in the number of single households, most of which use animal companions to overcome loneliness and boost domestic vitality. As more and more people consider pets as family members, the size of the domestic pet market is also growing. The growing number of pets in older households and single households is not properly managed by care such as food meals and exercise management for pets. It is necessary to research and develop robots that can monitor animal companions remotely, feed a certain amount of food at regular intervals, and manage their health through exercise. Among pet companions, dog selection is the highest. Therefore, this study identified robot research on driving methods, examples of existing pet care systems, and researched pet care robots using obstacle avoidance algorithms. In order to use the snack pay behavior and obstacle avoidance algorithm of the pet animals by applying IoT and we .oPI technology, it is able to use ultrasonic sensors on the front and has four infrared sensors on the back. However, this study does not reflect the characteristics of other pet animals as a study on pet care robots, and it requires continuous observation and testing.

• 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.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.05a
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• pp.383-385
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• 2021

According to a paper on estimating and forecasting the size of the pet-related industry published in 2018, 26.9% of the nation's pet-owned households were in their 30s and one-person households, consisting only of couples, as of 2015. Regarding the social increase in single-person households and double-income couples, it is believed that the surge in neglect time and lack of training time that pets do not want is a problem. This paper conducted the development of hardware and software products for the training and management of companion animals using Lego Mind Storm. Lego mind Storm is equipped with a variety of sensors and can produce equipment to train or care pets with simple programming through easy assembly and visual scripting. It is also expected that switching to new equipment will be easy because it is well modularized. We hope that this study will help the training and management of pets when the expansion of the pet market becomes active through this study.

• Journal of the Korea Convergence Society
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• v.10 no.11
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• pp.159-164
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• 2019

Recent developments in ICT technology have increased interest in the care and health of pets such as dogs and cats. In this paper, cluster analysis was performed based on the component data of pet food to be used in various fields of the pet industry. For cluster analysis, the similarity was analyzed by analyzing the correlation between components of 300 dogs and cats in the market. In this paper, clustering techniques such as Hierarchical, K-Means, Partitioning around medoids (PAM), Density-based, Mean-Shift are clustered and analyzed. We also propose a personalized recommendation system for pets. The results of this paper can be used for personalized services such as feed recommendation system for pets.

• Journal of Korea Multimedia Society
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• v.24 no.1
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• pp.21-29
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• 2021

With the recent increase in the number of households raising pets, various engineering studies have been underway for pets. The final purpose of this study is to automatically generate situation-sensitive captions that can express implicit intentions based on the behavior and sound of cats by embedding the already mature behavioral detection technology of pets as basic element technology in the video capturing research. As a pilot project to this end, this paper proposes a high-level capturing system using optical-flow, RGB, and sound information of cat videos. That is, the proposed system uses video datasets collected in an actual breeding environment to extract feature vectors from the video and sound, then through hierarchical LSTM encoder and decoder, to identify the cat's behavior and its implicit intentions, and to perform learning to create context-sensitive captions. The performance of the proposed system was verified experimentally by utilizing video data collected in the environment where actual cats are raised.

• Korean Journal of Agricultural Science
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• v.49 no.3
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• pp.607-617
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• 2022

As the number of households raising pets increases, the pet food industry is also growing. Since pets cannot express their intention explicitly, it appears that the owner's perception mainly affects the selection of products related to pets. In this study, consumers were categorized based on their interest in food choices and the factors influencing their interest in pet food were empirically analyzed. For the analysis, a cluster analysis, factor analysis, and Tobit analysis were conducted using consumer survey data for raising companion animals. The major findings of the study were as follows. As a result of the factor analysis and cluster analysis using questions for consumers' food consumption choices, consumer types were classified into high-interest, low-interest, and practical-seeking types. The degree of interest in pet food was high in the order of high-interest, practical-seeking, and low-interest type. Demographic characteristics such as gender, education, and household type correlate with differences in the degree of interest in pet food, and the food selection criteria of consumers also affect the degree of interest in pet food. These results show that consumers who are more interested in their food choices are more interested in pet food, and this will make possible to know pet owner's purchasing behavior for pet food.

• Korean Journal of Veterinary Service
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• v.46 no.4
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• pp.335-338
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• 2023

The COVID-19 pandemic, triggered by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has not only impacted human health on a global scale but also raised concerns about the vulnerability of a wide array of animals that are in close contact with humans. Particularly, the potential for infection and the subsequent immune response in domestic pets such as dogs and cats remain largely unexplored under natural living conditions. In this study, we have undertaken the task of detecting and tracking the presence of antibodies against SARS-CoV-2 in a small cohort of household pets-specifically, two dogs and two cats. Employing techniques such as the indirect ELISA and plaque reduction neutralization tests, we observed that the neutralizing antibodies against SARS-CoV-2 in these animals were maintained for a duration of up to six months following their initial positive test result. This duration mirrors the antibody response documented in human cases of COVID-19, suggesting a comparable post-infection immune response timeline between humans and these domestic animals.

• The Journal of the Korea Contents Association
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• v.17 no.8
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• pp.463-471
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• 2017

Recently, the number of pet-owning households drastically increased and many people took their pets as lifelong companion animals and look after them like their children. Pet business has continued to increase gradually and the need for pet supplies has increased, too. Though there are a variety of pet supplies in pet dog market which takes up many parts in the pet market, there is no design guideline on pet supplies. Thus, there are many wrong pet supplies design created by wrong idea of people. Therefore, this study aims to suggest the guideline on pet supplies design focusing on the pet-monitoring system among the various pet products. So, the pet-monitoring robot was designed to monitor pet simply using smartphone anywhere on the trip and feed by using bowl that control the signal. This study figured out types and function of existing IP camera, reflected the behavior and physical characteristics of pets and suggested the design guideline which is minimum required as pet-monitoring products. Also, trial product for which design guide was applied was produced to observe the pet behavior and identify problems while operating trial product. However, there was limit in securing data and study period to examine the satisfaction of various pets since the subject of this study was dog and it's required to conduct follow-up study by observing continuously and improving the problems in future to secure more data.

• Proceedings of the Korean Society of Veterinary Clinics Conference
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• 2007.10a
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• pp.231-235
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• 2007

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.14 no.2
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• pp.771-788
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• 2020

Detection of abandoned objects for smart video surveillance should be robust and accurate in various situations with low computational costs. This paper presents a new algorithm for abandoned object detection based on the dual background model. Through the template registration of a candidate stationary object and presence authentication methods presented in this paper, we can handle some complex cases such as occlusions, illumination changes, long-term abandonment, and owner's re-attendance as well as general detection of abandoned objects. The proposed algorithm also analyzes video frames at specific intervals rather than consecutive video frames to reduce the computational overhead. For performance evaluation, we experimented with the algorithm using the well-known PETS2006, ABODA datasets, and our video dataset in a live streaming environment, which shows that the proposed algorithm works well in various situations.