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Kim, Jihae;Go, Jeonghwan;Kwon, Cheolhee
- Journal of Broadcast Engineering
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- v.26 no.2
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- pp.175-183
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- 2021
The study of the fine grained classification of images continues to develop, but the study of object recognition for animals with polymorphic properties is proceeding slowly. Using only pet images corresponding to dogs and cats, this paper aims to compare methods using image processing and methods using deep learning among methods of classifying species of animals, which are fine grained classifications. In this paper, Grab-cut algorithm is used for object segmentation by method using image processing, and method using Fisher Vector for image encoding is proposed. Other methods used deep learning, which has achieved good results in various fields through machine learning, and among them, Convolutional Neural Network (CNN), which showed outstanding performance in image recognition, and Tensorflow, an open-source-based deep learning framework provided by Google. For each method proposed, 37 kinds of pet images, a total of 7,390 pages, were tested to verify and compare their effects.
https://doi.org/10.5909/JBE.2021.26.2.175 인용 PDF KSCI KPUBS

Kwon, Hyeok-dong;Kim, Hyun-jun;Jang, Kyoung-bae;Seo, Hwa-jeong
- Journal of the Korea Institute of Information and Communication Engineering
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- v.24 no.6
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- pp.786-794
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- 2020
For systematic pet management, the pet registration system has established. It makes the owner of the pet is given greater responsibility through the pet registration system but it also provided with welfare. One of the advantages of the pet registration system is that prepare system what return to owner quickly and safety through information inquiry when the pets are lost. But there are some conflict with the law in the information inquiry, so it occurs interfere the system. In this paper, we propose using the Smart Contract to finding the missing animal effectively. Proposed method discloses only the partially information. Thus it will be eliminated conflict parts, and increases the information accessibility to increase the number of people who can inquiry information. In addition, keeping the RFID inquired feature for compatible with the existing system. The smart contract querying enables quickly and precision access to information. Lastly, compare the proposed method with existing method to see the improvement.
https://doi.org/10.6109/jkiice.2020.24.6.786 인용 PDF KSCI