• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.23 no.3
• /
• pp.45-50
• /
• 2023

As the ownership of pets has steadily increased in recent years, the need for an effective pet management system has grown. In this study, we propose a pet management system with a deep learning-based emotion recognition SNS. The system detects emotions through pet facial expressions using a convolutional neural network (CNN) and shares them with a user community through SNS. Through SNS, pet owners can connect with other users, share their experiences, and receive support and advice for pet management. Additionally, the system provides comprehensive pet management, including tracking pet health and vaccination and reservation reminders. Furthermore, we added a function to manage and share pet walking records so that pet owners can share their walking experiences with other users. This study demonstrates the potential of utilizing AI technology to improve pet management systems and enhance the well-being of pets and their owners.

• Journal of KIISE:Computing Practices and Letters
• /
• v.15 no.4
• /
• pp.260-264
• /
• 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.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2023.05a
• /
• pp.650-651
• /
• 2023

반려동물의 건강 상태를 파악하기 위해서 수면 패턴을 모니터링하는 것은 중요하다. 본 논문에서는 6축 센서 데이터를 활용하여 수면 패턴을 모니터링하고, 이를 바탕으로 설계된 헬스케어 시스템을 제안한다. 이 시스템은 크게 데이터 수집, 행동 분류, 수면 패턴 모니터링으로 구성된다. 6축 센서 데이터와 ResNet-LSTM을 통해 반려동물의 행동(두 발로 서다, 네 발로 서다, 걷다, 킁킁대다, 뒷다리만 앉다, 엎드리다, 모든 발이 앉다, 놀다, 빠르게 걷다)을 분류하고, 분류된 행동을 활용하여 수면패턴을 분석한다. 이를 통해 수면 이상을 확인하고 반려동물의 건강 상태를 간접적으로 평가하여 적절한 처치 및 관리하고자 한다.

• Journal of the Korea Convergence Society
• /
• v.11 no.11
• /
• pp.19-24
• /
• 2020

Recently, due to the rapid increase of pets, there is a need for an integrated pet-related personalized product recommendation service such as feed recommendation using a health status check of pets and various collected data. This paper implements a product recommendation system that can perform various personalized services such as collection, pre-processing, analysis, and management of pet-related data using big data. First, the sensor information worn by pets, customer purchase patterns, and SNS information are collected and stored in a database, and a platform capable of customized personalized recommendation services such as feed production and pet health management is implemented using statistical analysis. The platform can provide information to customers by outputting similarity product information about the product to be analyzed and information, and finally outputting the result of recommendation analysis.

• Journal of the Korea Convergence Society
• /
• v.7 no.6
• /
• pp.29-34
• /
• 2016

Nowadays, real-time devices that provide health care for a companion animal is being developed by IoT technology and its demand such as smart puppy tag is increasing. However, it is difficult for IoT devices of companion animals to process complex nature due to miniaturized hardware and constructive nature. There is a clear limit to custom advanced features like health care implementation. This paper designs an integrated platform with statistical analysis which makes it possible to customized services such as feed production, pharmaceutical production, and health care for each companion animal. Middleware that collects sensor information, customer's spending pattern and information from Social Network Service is also designed by making use of IoT devices which companion animals wear. Furthermore, the paper designed data analyzer which analyzes and refines data from collected information that can be applied to personalized services.

• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.15 no.3
• /
• pp.51-57
• /
• 2015

In this paper, we tried to broaden a width of practical use field for applications through combining to existing contents after constructing various contents for companion animals. For this, we designed and developed our new companion animal management system(PET-IN) by adding various contents such as information management, schedule management, health management, QR code, SNS, shopping, map service for companion animals to smartphone applications. By PET-IN accessibility and satisfactory level tests, we found out that new synergy effect have appeared through combining each contents, and connectivity is increased. So, practical use field is broaden. These tests show us that comprehensive content composition is necessary for companion animal applications, and this study can be used as important data when new companion animal application contents are constructed in the future.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2018.10a
• /
• pp.677-679
• /
• 2018

반려동물 인구 천만 시대에 맞는 맞춤형 의료 서비스의 필요성 증대 등 국내 반려동물 시장의 성장세에 맞추어 다양한 반려동물 관련 앱 서비스가 출시되고 있다. 그중 의료 관련 분야의 서비스의 수요가 고령 반려동물의 증가에 따라 특히 급속도로 증가하는 분야임에도 불구하고 관련 사례나 연구가 미약하다. 따라서 본 논문에서는 기존에 제공되는 서비스 중 추론의 비효율성 문제를 극복하고 추론 과정에서의 사용자 피드백을 활용하여 궁극적으로 진단의 효율성을 극대화할 수 있는 전문가 시스템을 제시하였다.

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

• The Korea Swine Journal
• /
• v.25 no.2 s.282
• /
• pp.173-177
• /
• 2003

21세기 양돈산업의 전망은 환경문제, 사료생산, 동물복지 등 다양한 생산제한 요인에 의하여 국제적으로 돈육수급이 불안정할 것으로 예상되지만, 세계적으로 돼지고기 소비는 아시아 지역의 경기회복 등으로 증가추세에 있어 우리의 노력 여하에 따라서는 내수 소비확대 및 수출재개 등 경쟁력 있는 양돈산업으로 발전될 수 있다고 생각합니다. 또한 미래의 양돈산업 전개방향은 소비자 중심의 산업으로 변화되어 돈육의 건강개념과 영양적 가치 증진 및 식품의 안전성에 중점을 둘 것이며, 특히 소비자의 의식변화는 미래 양돈산업을 지배하는 결정적인 요인이 될 것입니다. 한편 유통경영 측면에서는 수직협력 시스템(Vertical co-ordination)과 효율적인 물류유통관리(MSCM) 시스템 도입이 가속화 될 것입니다. 즉, 소비자가$\codt$저마진에 의한 다량판매, 대규모 사육, 생산비 절감 기술개발에 주력할 것이라고 생각됩니다. 이에 따라 우리나라 양돈산업의 국제경쟁력 제고를 위하여 보다 시급히 해결되어야 할 질병$\codt$방역관리, 유통구조 개선, 고품질 돈육생산 및 위생$\codt$품질향상 분야에 있어서 중점 추진되어야 할 내용을 소개하고자 합니다.

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