• Journal of the Korea Society of Computer and Information
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• v.26 no.9
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• pp.115-123
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• 2021

This study aims to analyze the changes in public perception of abandoned dogs through big data analysis. Data from January 2017 to July 2020 were collected to analyze how the quantitative change in social issues with abandoned dogs as a keyword had an effect on public perception of abandoned dogs, and factors that influence positive/negative perceptions. As a result of the study, it was confirmed that the number of stray dogs and the number of documents related to stray dogs had a positive correlation, and specific time series changes were found through various analysis techniques such as text mining, network analysis, and sentiment analysis. This study will have significance as basic data that can be used for policy establishment or other research on abandoned dogs. we hope it will help to solve problems so as to improve awareness of abandoned dogs and develop a sense of responsibility.

• Korean Journal of Veterinary Service
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• v.44 no.4
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• pp.175-183
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• 2021

This study investigated the status and analyzed of stray dogs, stray cats admitted to the Jeju Animal Shelter during the year of 2015 to 2019, and the infection rates of specific diseases for abandoned dogs. In addition, in 2017 to 2019, the collected intake and outcome data were reviewed to analyze shelter capacity in terms of housing capacity (monthly daily average intake, required holding capacity, and adoption-driven capacity), staff capacity (staff hours required for daily care). Out of 24,557 dogs admitted to the shelter, owners of 1,808 dogs (7.4%) visited the shelter and found their lost dogs, while 3,612 dogs (14.7%) were adopted to new families. However, the number of puppies that were euthanized was the highest at 12,266 (49.9%), and 6,876 (28%) died either death from disease or natural causes because they were detained in shelters. The monthly daily average (MDA), which is one of the indicators for efficient population management of Jeju Animal Shelter, was found to be 17.4 for abandoned dogs and 1.7 for abandoned cats. Seasonal variations were observed for MDA, RHC, MDA adoptions, ADC, and RSDC, indicating that various strategies are needed for shelter management. This study was performed to analyze and interpret meaningful statistics for improving the efficiency of animal shelters in Jeju. However, inconsistent collection of animal statistics limited data compilation. Creation of a basic animal statistics matrix with reference to well-designed matrices from recognized professional animal shelters is essential.

• Korean Journal of Veterinary Service
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• v.36 no.3
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• pp.187-192
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• 2013

For the monitoring of six viral disease (CIV: canine influenzavirus, CPIV: canine parainfluenzavirus, CHV: canine herpesvirus, CPV2: canine parvovirus type 2, CCoV: canine coronavirus, CNV: canine norovirus) inspections, a total of 300 samples were collected nasal or feces from the companion dogs of animal hospital (n=98) and the abandoned dogs of animal shelters (n=202) in Gwangju, Korea. Using PCR and RT-PCR, CPV2, CPIV and CHV were detected in 55 (18.3%), 11 (3.7%), 1 (0.3%), respectively. CPV2 was highly detected in May, October and November. and CPIV was highly detected in November. But those agents were not detected the virus in March and July. Based on the results of the investigation continuous monitoring for companion and abandoned dogs will be required.

• Proceedings of the Korean Society of Computer Information Conference
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• 2020.07a
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• pp.301-302
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• 2020

The number of abandoned dogs were increasing every year in South Korea. However, many dogs are euthanized in the shelter because of the lack of budget. This project predicts euthanasia of abandoned dogs using machine learning algorithm. It collects data from the public data portal where Korea government provides a public dataset as a form of open API. This project uses recent three-year data 2017 to 2019 and 263371 cases were founded. This project implements random forest and logistic regression models. This project attained an average 72% of prediction accuracy.

• Journal of the Korea Society of Computer and Information
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• v.27 no.2
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• pp.99-106
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• 2022

In this paper, We propose a method for identifying objects by setting inscriptions and landmarks of dogs. The phenomenon of abandoning dogs is on the rise, and the number of abandoned individuals is also rapidly increasing. These abandoned dogs are becoming wild animals, causing a lot of damage to people's daily life, causing serious problems. As a solution to this problem, the animal registration system is being implemented, but there is a phenomenon that some dog owners avoid the registration method that inserts a chip, so the complete registration system is not settled. When registering a dog, removing the avoidance of dog owners will help establish the companion animal registration system. In this paper, we present a technique to identify objects by setting inscriptions and landmarks of dogs so that dog owners can register their dogs in a friendly way to eliminate this avoidance phenomenon.

• The Korean Journal of Food And Nutrition
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• v.23 no.1
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• pp.124-133
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• 2010

The total number of the dogs bred in Korea as of 2007 was 1,917,709, and among them, 77%, 1,476,776 dogs were edible dogs. Dogmeat has been legalized edible as food from Choseon dynasty, Daehan imperial state, Japan-occupied era till the present Korea. Dogs had been included in the article 2, Enforcement Ordinance of Processing and Disposal Rule of Livestock and Its Products until the end of Jan. 1979, but it was crossed out by the Notification No 3,005(Feb. 1 1979 effective) of the Minister of Agriculture and Marine Products, and as a result, the obligation that dogs should be slaughtered at the slaughtering ground was defunct. Thus, the arbitrarily dog slaughtering was empowered. As a matter of fact, the new law was not legalized in order to ban dogs from being slaughtered. The waste amount of slaughtered edible dogs amounts to 7,282 tons annually, and most of its waste from the arbitrarily-slaughtered dog is being illegally dumped without proper management and supervision. Edible dogs defecate 292,509 tons(calculates urine as dung) annually, but it is sanitarily disposed according to the Law of Management and Use of Livestock's Dung and Urine which took effective from Sep. 2009. Annual sales amount of edible dogs comes to 590 billion won on the basis of the shipment at breeding ground, but after passing through various level of marketing, and being processed as Gaesoju, and Boshintang, it forms 4 trillion won market when it reaches customers. The amount of food waste in Korea in 2007 came to 5,274,944 tons, and 633 billion won was spent for its disposal cost. Korean edible dogs of 1,476,776 heads consumed 1,266,705 tons, the 24% of total food waste. Edible dogs are the most effective means to convert food waste into food for man, not entailing the cost of disposal. On the other hand, pet dog culture brought about disposal cost, and the 51,188 dogs were abandoned at 2007, while 7 billion won was spent for the protection, euthanasia of them and the disposal of their dead bodies.

• Reproductive and Developmental Biology
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• v.35 no.4
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• pp.399-405
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• 2011

The number of abandoned dogs is increasing with the worsening of the economy and the rising of feed value. It was becoming a serious social problem because of the disease transmission and destruction of natural ecosystems by abandoned dogs been wild animal. In order to solve these problems, companion dogs necessary to secure its own genetic information and to establish the systematic tracking system. Using multiplex-PCR method with 27 microsatellite marker (MS marker) divided 3 set, various alleles occurring to 6 dog breed (Labrador Retriever, German Shepherd, English Springer Spaniel, Belgian Malinois, Jindo Dog, PoongSan Dog) make use of markers to determine allele frequency and heterozygosity. MS marker FH2834 and FH2790 have only two allele and most were found in 13 alleles at FH3381 and FH3399. Average heterozygosity of MS marker is 0.534 and especially, heterozygosity represented the highest value of 0.765 at FH3381. So, it was recognized appropriate allele frequency for individual identification and paternity diagnosis in companion dogs. Using multiplex-PCR method with MS marker, various alleles occurring to dog breed make use of markers to deter mine individual identification and paternity diagnosis, traits associated biomarkers and breed-specific marker for faster, more accurate and ways to reduce the analysis cost. Based on this result, a scientific basis was established to the existing pedigree data by applying genetics additionally. Animal registration system is expected to be conducted nationwide in future. The method expects to very useful this system.

• The Journal of the Korea institute of electronic communication sciences
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• v.16 no.4
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• pp.709-718
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• 2021

In this paper, it can be seen that the number of abandoned dogs increases every year through the statistics on the occurrence of abandoned animals. With the goal of reducing the number of stray dogs, a smart pet dog shoulder strap is implemented based on a real-time location tracking system using the ESP32 module and GPS sensor. It is an ESP32 module with a built-in Bluetooth module. It is input to the MCU using various sensors, and finally outputs to a smart-phone application, and communicates through the built-in blue-tooth module. In addition, it uses Neopixels to compensate the weaknesses at night through LED light emission, and automatically sets the warning distance to design a music playback system through the LED flashing effect and MP3 module. In addition, a smart pet dog shoulder strap was designed to help pet dog health care by measuring the moving distance according to the amount of activity through the gyro sensor.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.12
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• pp.1-9
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• 2020

As pet dogs rapidly increase in number, abandoned and lost dogs are also increasing in number. In Korea, animal registration has been in force since 2014, but the registration rate is not high owing to safety and effectiveness issues. Biometrics is attracting attention as an alternative. In order to increase the recognition rate from biometrics, it is necessary to collect biometric images in the same form as much as possible-from the face. This paper proposes a method to determine whether a dog is facing front or not in a real-time video. The proposed method detects the dog's eyes and nose using deep learning, and extracts five types of directional face information through the relative size and position of the detected face. Then, a machine learning classifier determines whether the dog is facing front or not. We used 2,000 dog images for learning, verification, and testing. YOLOv3 and YOLOv4 were used to detect the eyes and nose, and Multi-layer Perceptron (MLP), Random Forest (RF), and the Support Vector Machine (SVM) were used as classifiers. When YOLOv4 and the RF classifier were used with all five types of the proposed face orientation information, the face recognition rate was best, at 95.25%, and we found that real-time processing is possible.

• Analytical Science and Technology
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• v.35 no.3
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• pp.136-142
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• 2022

According to media reports, the carcasses of euthanized abandoned dogs were processed at high temperature and pressure to make powder, and then used as feed materials (meat and bone meal), raising the possibility of residuals in the feed of the anesthetic ketamine and dexmedetomidine used for euthanasia. Therefore, a simultaneous analysis method using QuEChERS combined with high-performance liquid chromatography coupled with electrospray ionization tandem mass spectrometry was developed for rapid residue analysis. The method developed in this study exhibited linearity of 0.999 and higher. Selectivity was evaluated by analyzing blank and spiked samples at the limit of quantification. The MRM chromatograms of blank samples were compared with those of spiked samples with the analyte, and there were no interferences at the respective retention times of ketamine and dexmedetomidine. The detection and quantitation limits of the instrument were 0.6 ㎍/L and 2 ㎍/L, respectively. The limit of quantitation for the method was 10 ㎍/kg. The results of the recovery test on meat and bone meal, meat meal, and pet food showed ketamine in the range of 80.48-98.63 % with less than 5.00 % RSD, and dexmedetomidine in the range of 72.75-93.00 % with less than 4.83 % RSD. As a result of collecting and analyzing six feeds, such as meat and bone meal, prepared at the time the raw material was distributed, 10.8 ㎍/kg of ketamine was detected in one sample of meat and bone meal, while dexmedetomidine was found to have a concentration below the limit of quantitation. It was confirmed that the detected sample was distributed before the safety issue was known, and thereafter, all the meat and bone meal made with the carcasses of euthanized abandoned dogs was recalled and completely discarded. To ensure the safety of the meat and bone meal, 32 samples of the meat and bone meal as well as compound feed were collected, and additional residue investigations were conducted for ketamine and dexmedetomidine. As a result of the analysis, no component was detected. However, through this investigation, it was confirmed that some animal drugs, such as anesthetics, can remain without decomposition even at high temperature and pressure; therefore, there is a need for further investigation of other potentially hazardous substances not controlled in the feed.