• Title/Summary/Keyword: Pet care system

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uPetCare : Ubiquitous Pet-Care System using Web2.0 (uPetCare : 웹2.0을 이용한 유비쿼터스 펫 케어 시스템)

  • Park, Jun-Sung;Lee, Gwi-Ro;Cho, Jin-Sung
    • Journal of KIISE:Computing Practices and Letters
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    • v.15 no.4
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    • pp.260-264
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    • 2009
  • There have been many studies on u-Healthcare system for human using sensor network systems. In this paper, we design and implement a healthcare system for pets called uPetCare(Ubiquitous Pet-Care System) that can manage the status of pet on the web. The main functions of this system are 1) gathering data using sensor network, 2) multi-hop communication in sensor network, 3) data compression and aggregation at sink node, 4) storing data in web server, 5) real-time data monitoring using AJAX, 6) activity recognition of pet.

CareMyDog: Pet Dog Disease Information System with PFCM Inference for Pre-diagnosis by Caregiver

  • Kim, Kwang Baek;Song, Doo Heon;Park, Hyun Jun
    • Journal of information and communication convergence engineering
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    • v.19 no.1
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    • pp.29-35
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    • 2021
  • While the population of pet dogs and pet-related markets are increasing, there is no convenient and reliable tool for pet health monitoring for pet owners/caregivers. In this paper, we propose a mobile platform-based pre-diagnosis system that pet owners can use for pre-diagnosis and obtaining information on coping strategies based on their observations of the pet dog's abnormal behavior. The proposed system constructs symptom-disease association databases for 100 frequently observed diseases under veterinarian guidance. Then, we apply the possibilistic fuzzy C-means algorithm to form the "probable disease" set and the "doubtable disease" set from the database. In the experiment, we found that the proposed system found almost all diseases correctly, with an average of 4.5 input symptoms and outputs 1.5 probable and one doubtable disease on average. The utility of this system is to alert the owner's attention to the pet dog's abnormal behavior and obtain an appropriate coping strategy before consult a veterinarian.

Customized Pet Care and Training System Using Nose-Print Recognition, Pet Robot, and Pet Band (비문 인식, 펫 로봇 및 펫 밴드를 사용한 개체 맞춤형 반려동물 케어 및 훈련 시스템)

  • Cho, Ji-Yeon;Lee, Seongsoo
    • Journal of IKEEE
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    • v.24 no.3
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    • pp.909-912
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    • 2020
  • This paper introduces a customized pet care and training system based on information technology. A specific animal is recognized by nose-print recognition. Pet robot induces the animal to move to trainer device. Trainer device trains the animal by snack, play, and clicker, and it can be easily extended for specific training using add-on devices. Pet band performs vital sign monitoring, prevention of home escape, and measurement of exercise amount. By changing configuration, this system can perform various training programs such as mitigation of separation anxiety, induction to defecation place, and prohibition of tresspassing specific place. It also provides customized training by analyzing individual behavior of animal. It can exercise and play the animal when owner is out, and it can immediately notice to the owner when the animal has health trouble.

mPetCare : Design and Implementation of Pet Care System based on PublicData (mPetCare : 공공데이터를 활용한 반려동물 케어 시스템 설계 및 구현)

  • Jo, Hyun-Sung;Park, Seok-Cheon;Park, Jun-Sik
    • Proceedings of the Korea Information Processing Society Conference
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    • 2013.11a
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    • pp.564-567
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    • 2013
  • 최근 핵가족과 고령화 등의 영향으로 반려동물과 함께 생활하는 사람들이 많아지고 있다. 특히, 1인 가구의 증가로, 외로움을 타는 현대인이 증가하면서 반려동물을 가족으로 인식하는 이들이 많아졌다. 따라서, 본 논문에서는 반려동물의 소유주들이 직면하는 문제점들을 해결하기 위하여 공공데이터를 활용한 반려동물 케어 시스템을 설계 및 구현하고, 이를 통해 반려동물을 원할히 관리 할 수 있도록 하였다.

A Study of Similarity Measure Algorithms for Recomendation System about the PET Food (반려동물 사료 추천시스템을 위한 유사성 측정 알고리즘에 대한 연구)

  • Kim, Sam-Taek
    • 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.

Implementation of Pet Management System using Lora Module (LoRa 모듈을 이용한 반려동물 관리시스템 구현)

  • Park, Se-Jun;Choi, Eik-Hyeon;Yoo, Tae-Jun;Mo, Ji-Soo;Lee, Sang-Ho
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.18 no.5
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    • pp.275-281
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    • 2018
  • Along with the growing market for pets and the increasing interest in pet management, the need for pet management systems is increasing. Development of IoT-related technologies has made it possible to develop the related systems. This paper implements a variety of functions through Bluetooth 4.0 and LoRa communication between devices using Arduino and Android applications depending on distances. In the paper, users can receive real-time location information through the communication between Android applications and devices attached to pets, store pet information, manage pet information, and store stroll courses more conveniently with the developed system.

Solution to Decrease Spatial Dose Rate in Laboratory of Nuclear Medicine through System Improvement (시스템 개선을 통한 핵의학 검사실의 공간 선량률 감소방안)

  • Moon, Jae-Seung;Shin, Min-Yong;Ahn, Seong-Cheol;Yoo, Mun-Gon;Kim, Su-Geun
    • Quality Improvement in Health Care
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    • v.20 no.1
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    • pp.60-73
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    • 2014
  • Objectives: This study aims at decreasing spatial dose rate through work improvement whilst spatial dose rate is the cause of increasing personal exposure dose which occurs in the process of handling radioisotope. Methods: From February 2013 until July 2013, divided into "before" and "after" the improvement, spatial dose rate in laboratory of nuclear medicine was measured in gamma image room, PET/CT-1 image room, and PET/CT-2 image room as its locations. The measurement time was 08:00, 12:00 and 17:00, and SPSS 21.0 USA was opted for its statistical analysis. Result: The spatial dose rate at distribution worktable, injection table, the entrance to the distribution room, and radioisotope storage box, which had showed high spatial dose rate, decreased by more than 43.7% a monthly average. The distribution worktable, that had showed the highest spatial dose rate in PET/CT-1 image room, dropped the rate to 42.3% as of July. The injection table and distribution worktable in the PET/CT-2 image room also showed the decline of spatial dose rate to 89% and 64.4%, respectively. Conclusion: By improving distribution process and introducing proper radiation shielding material, we were able to drop the spatial dose rate substantially at distribution worktable, injection table, and nuclide storage box. However, taking into account of steadily increasing amount of radioisotope used, strengthening radiation related regulations, and safe utilization of radioisotope, the process of system improvement needs to be maintained through continuous monitoring.

Deep Learning-based Pet Monitoring System and Activity Recognition device

  • Kim, Jinah;Kim, Hyungju;Park, Chan;Moon, Nammee
    • Journal of the Korea Society of Computer and Information
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    • v.27 no.2
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    • pp.25-32
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    • 2022
  • In this paper, we propose a pet monitoring system based on deep learning using an activity recognition device. The system consists of a pet's activity recognition device, a pet owner's smart device, and a server. Accelerometer and gyroscope data were collected from an Arduino-based activity recognition device, and the number of steps was calculated. The collected data is pre-processed and the amount of activity is measured by recognizing the activity in five types (sitting, standing, lying, walking, running) through a deep learning model that hybridizes CNN and LSTM. Finally, monitoring of changes in the activity, such as daily and weekly briefing charts, is provided on the pet owner's smart device. As a result of the performance evaluation, it was confirmed that specific activity recognition and activity measurement of pets were possible. Abnormal behavior detection of pets and expansion of health care services can be expected through data accumulation in the future.

Critical Factors Affecting Successful Client Satisfaction Management of Companion Animal Hospital (반려동물병원의 고객만족경영 성공요인에 관한 연구)

  • Baik, Choong-Ki;Shin, Cheol-Ho;Kim, Bo-Young
    • Journal of Veterinary Clinics
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    • v.29 no.1
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    • pp.49-57
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    • 2012
  • Success of any business solely is dependant on how to satisfy clients in healthcare-related industry. In the short history of Korea pet-care industry, there were not many guidelines on client satisfaction management of companion animal hospitals. The studies on many pet healthcare facilities were conducted based on their cost-benefits and the advantages of medical operation within special features of the traditional hospital management system. However the companion animal hospitals recently need to improve the service quality and client closed communication in keen competition on pet healthcare market. This study explores client satisfaction management could be the new issue of the veterinary hospital business. And it finally suggests of the critical factors affecting successful client satisfaction management of companion animal hospital based on the eight case studies.