• Journal of Industrial Technology
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• v.34
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• pp.33-37
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• 2014

The current companion animal registration system is based on implanting microchip into animal body. Thus, the maintenance cost is high, and it may cause dangerous effect on the animal health. Moreover, it is very inconvenient in utilizing the information. This paper presents a pet registration and information providing system based on QR code for low cost and convenience in field application. The owner can simply register pet information on the web server, print the QR code and attach it to the pet. Any person can scan the QR code by smart phone, identify the information, and call the owner directly.

• 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.

• The Journal of the Korea Contents Association
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• v.20 no.7
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• pp.392-403
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• 2020

The aim of this study was to identify the awareness of the animal registration system, as well as to determine if there is a difference according to the types of pet attachment of consumers raising companion dogs. For this purpose, 250 data were collected by conducting an online survey and analyzed the data using SPSS 24.0. As a result of the study, pet attachment was identified as a companion attachment and emotional attachment. According to the form of attachment to dogs, the consumer types were categorized into three groups: type of simple cohabitation(25.6%), type of close companion(30.4%), and type of strong bond(44.0%). It was found that there are statistically significant differences in the relationship between the recognition and registration of the animal registration system for each consumer type. In addition, there were statistically significant differences in the perception and preference of the animal registration system depending on the type of consumer. This study has significance in that it suggests the effective direction of developing the consumer-oriented animal registration system.

• Journal of the Korea Society of Computer and Information
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• v.12 no.2 s.46
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• pp.123-130
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• 2007

The aim of this study was to propose a fusion and registration method with heterogeneous small animal acquisition system in small animal in-vivo study. After an intravenous injection of $^{18}F$-FDG through tail vain and 60 min delay for uptake, mouse was placed on an acryl plate with fiducial markers that were made for fusion between small animal PET (microPET R4, Concorde Microsystems, Knoxville TN) and Discovery LS CT images. The acquired emission list-mode data was sorted to temporally framed sinograms and reconstructed using FORE rebining and 2D-OSEM algorithms without correction of attenuation and scatter. After PET imaging, CT images were acquired by mean of a clinical PET/CT with high-resolution mode. The microPET and CT images were fusion and co-registered using the fiducial markers and segmented lung region in both data sets to perform a point-based rigid co-registration. This method improves the quantitative accuracy and interpretation of the tracer.

• Journal of the Korea Society of Computer and Information
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• v.15 no.3
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• pp.19-26
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• 2010

The most critical element in the real-time operation of RFID application programs that are suitable for the mobile environment is the RFID middleware, made exclusively for mobile handsets, which processes collected data on a real-time basis and sends only the useful information to the application client. In this paper, we intend to design and implement the Pet management system for optimized mobile RFID middleware that supports real-time data processing. The proposed Pet management system consists of registration module, retrieval module, communication module, and display module in order to display retrieval result from server. Also, the captured data in the PDA is transmitted to the server and another client system using the mobile application interface that supports the SOAP application access protocol.

• The Korean Journal of Nuclear Medicine Technology
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• v.23 no.1
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• pp.59-63
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• 2019

Purpose The motion due to respiration of patients undergoing PET/CT is a cause of artifacts in image and registration error between PET and CT images. The degree of displacement and distortion for tumor, which affects the measurement of Standard Uptake Value (SUV) and lesion volume, is especially higher for tumors that is small or located at the base of lungs. The purpose of this study was to evaluate the usefulness of prone position in the correction of image distortion due to respiration of patients in PET/CT. Materials and Methods The imaging equipment used in this study was PET/CT Discovery 600 (GE Healthcare, MI, USA). 20 patients whose lesions were identified in the middle and lower lungs from May to August 2018 were enrolled in this study. After acquiring whole body image in the supine position, additional images of the lesion area were obtained in the prone position with the same conditions. SUVmax, SUVmean, and volume of the lesion were measured for each image, and the displacement of the lesion on PET and CT images were measured, compared, and analyzed. Results The SUVmax, SUVmean, and volume, and displacement of the lesion were $4.72{\pm}2.04$, $3.10{\pm}1.38$, $4.68{\pm}3.20$, and $4.64{\pm}1.88$, respectively for image acquired in the supine position and $5.89{\pm}2.42$, $3.97{\pm}1.65$, $2.13{\pm}1.09$, and $2.24{\pm}0.84$, respectively for image acquired in the prone position, indicating that, for all the lesions imaged, SUVmax and SUVmean were higher and volume and displacement were smaller in the images acquired in prone position compared to those acquired in supine one(p<0.05). Conclusion These results showed that the prone position PET/CT imaging improves the quality of the image by increasing the SUV of the lesion and reducing the respiratory artifacts caused by registration error between PET and CT images. It is considered that the PET/CT imaging in the prone position is helpful in the diagnosis of the disease as an economical and efficient methods that correct registration error for the lesions in basal lung and reduce artifacts.

• IEMEK Journal of Embedded Systems and Applications
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• v.18 no.6
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• pp.267-275
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• 2023

This paper presents the development of specialized software for annotating volume-of-interest on ¹⁸F-FDG PET/CT images with the goal of facilitating the studies and diagnosis of head and neck cancer (HNC). To achieve an efficient annotation process, we employed the SE-Norm-Residual Layer-based U-Net model. This model exhibited outstanding proficiency to segment cancerous regions within ¹⁸F-FDG PET/CT scans of HNC cases. Manual annotation function was also integrated, allowing researchers and clinicians to validate and refine annotations based on dataset characteristics. Workspace has a display with fusion of both PET and CT images, providing enhance user convenience through simultaneous visualization. The performance of deeplearning model was validated using a Hecktor 2021 dataset, and subsequently developed semi-automatic annotation functionalities. We began by performing image preprocessing including resampling, normalization, and co-registration, followed by an evaluation of the deep learning model performance. This model was integrated into the software, serving as an initial automatic segmentation step. Users can manually refine pre-segmented regions to correct false positives and false negatives. Annotation images are subsequently saved along with their corresponding ¹⁸F-FDG PET/CT fusion images, enabling their application across various domains. In this study, we developed a semi-automatic annotation software designed for efficiently generating annotated lesion images, with applications in HNC research and diagnosis. The findings indicated that this software surpasses conventional tools, particularly in the context of HNC-specific annotation with ¹⁸F-FDG PET/CT data. Consequently, developed software offers a robust solution for producing annotated datasets, driving advances in the studies and diagnosis of HNC.

• Proceedings of the Korea Information Processing Society Conference
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• 2019.10a
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• pp.737-741
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• 2019

최초의 암호화폐인 비트코인과 동시에 등장한 블록체인 기술은 시대를 지나며 발전을 거듭하여 현재는 많은 사람들의 관심을 이끄는 기술이 되었다. 블록체인은 내용을 손쉽게 변경할 수 없는 특징을 지니며 그에 따라 강한 신뢰도를 지니게 된다. 이러한 특징으로 인해 블록체인은 암호화폐 뿐만 아니라 다양한 분야에서 사용되기 시작했다. 우리는 본 특징을 활용하여 블록체인 기반의 애완동물 등록제를 제안한다. 현재 애완동물 산업은 규모가 상당히 거대하며 애완동물은 주인에게 강한 책임이 주어진다. 국내에서는 동물등록제를 통해 동물을 관리하지만 다른 법령과 상충되는 부분 때문에 의미가 퇴색하며 실효성에 이의가 제기되고 있다. 블록체인을 활용한 동물등록제는 부분적으로 공개된 환경에서 정보를 공유하며 분양 등의 사유로 주인이 변경되었을 경우 이를 손쉽게 추적할 수 있는 기반을 제공한다. 따라서 현재 동물등록제의 단점을 크게 해소할 수 있을 것으로 예상되며 다양한 장점을 지니기에 제안하는 바이다.