• The Journal of the Korea Contents Association
• /
• v.20 no.12
• /
• pp.659-670
• /
• 2020

This study analyzes the effects of companion animals on humans based on folk tales of righteous dogs in Hongseong. By targeting the theses and Hongseong righteous dog tales for this purpose, analyses of Ethnography and FGI(Focus Group Interview) were used among Qualitative Research Methods. According to research analysis, the impact of companion animals on humans was analyzed as emotional, economic, and cultural and environmental effects. In the case of emotional impact, the effect of companion animals on social sentiment is analyzed to have a positive effect in various classes, ranging from children and adolescents to the elderly and the socially vulnerable. On the economic aspect, SWOT analysis was attempted in connection with the rapid expansion of the companion animals industry, as represented by the Petconomy market, and analysis was attempted by focusing on cultural campaigns and tales that appeared in various cultural and environmental influences. The results of these studies suggest that this study is one that adds depth to the fact that it is the first attempt to analyze the culture and technology of companion animals, that it triggers the contribution of community development by analyzing the symbiotic relationship between companion animals and humans through the specific region, and that pets will have an emotional positive impact on human life in the era of the Fourth Industrial Revolution, when individualism will be maximized.

• Journal of Veterinary Science
• /
• v.22 no.2
• /
• pp.17.1-17.13
• /
• 2021

Background: Klebsiella spp. is an important conditional pathogen in humans and animals. However, due to the indiscriminate use of antibiotics, the incidence of antimicrobial resistance has increased. Objectives: The purpose of this study was to investigate antimicrobial resistance in strains of Klebsiella strains and the phylogenetic relatedness of extended-spectrum cephalosporin (ESC)-resistance among Klebsiella strains isolated from clinically ill companion animals. Methods: A total of 336 clinical specimens were collected from animal hospitals. Identification of Klebsiella species, determination of minimum inhibitory concentrations, detection of ESC resistance genes, polymerase chain reaction-based replicon typing of plasmids by conjugation, and multilocus sequence typing were performed. Results: Forty-three Klebsiella strains were isolated and, subsequently, 28 were identified as K. pneumoniae, 11 as K. oxytoca, and 4 as K. aerogenes. Eleven strains were isolated from feces, followed by 10 from ear, 7 from the nasal cavity, 6 from urine, 5 from genitals, and 4 from skin. Klebsiella isolates showed more than 40% resistance to penicillin, cephalosporin, fluoroquinolone, and aminoglycoside. ESCresistance genes, CTX-M groups (CTX-M-3, CTX-M-15, and CTX-M-65), and AmpC (CMY-2 and DHA-1) were most common in the K. pneumoniae strains. Some K. pneumoniae carrying CTX-M or AmpC were transferred via IncFII plasmids. Two sequence types, ST709 and ST307, from K. pneumoniae were most common. Conclusions: In conclusion, this is the first report on the prevalence, ESCresistance genotypes, and sequence types of Klebsiella strains isolated from clinically ill companion animals. The combination of infectious diseases and antimicrobial resistance by Klebsiella in companion animals suggest that, in clinical veterinary, antibiotic selection should be made carefully and in conjunction with the disease diagnosis.

• Journal of Dairy Science and Biotechnology
• /
• v.41 no.4
• /
• pp.179-190
• /
• 2023

Currently, various probiotics are being used to improve the nutrition of companion animals. They are widely sold as additives in companion animal foods because of the numerous gastrointestinal and immune health benefits for dogs and cats. Therefore, extensive research is being conducted to improve quality and safety during manufacturing and to extend the shelf life of companion animal foods by adding probiotics. The manufacturing process must be conducted such that the characteristics and efficacy of probiotics added to food are optimally beneficial for companion animals. Therefore, this review aims to address the overall characteristics of the probiotic strains used and to examine the various methods through which probiotics are added to companion animal foods.

• Journal of Animal Science and Technology
• /
• v.66 no.1
• /
• pp.57-78
• /
• 2024

In a global context, bacterial diseases caused by pathogenic bacteria have inflicted sustained damage on both humans and animals. Although antibiotics initially appeared to offer an easy treatment for most bacterial infections, the recent rise of multidrug-resistant bacteria, stemming from antibiotic misuse, has prompted regulatory measures to control antibiotic usage. Consequently, various alternatives to antibiotics are being explored, with a particular focus on bacteriophage (phage) therapy for treating bacterial diseases in animals. Animals are broadly categorized into livestock, closely associated with human dietary habits, and companion animals, which have attracted increasing attention. This study highlights phage therapy cases targeting prominent bacterial strains in various animals. In recent years, research on bacteriophages has gained considerable attention, suggesting a promising avenue for developing alternative substances to antibiotics, particularly crucial for addressing challenging bacterial diseases in the future.

• Journal of the Korea Society of Computer and Information
• /
• v.27 no.10
• /
• pp.1-9
• /
• 2022

In this paper, we propose the Deep Learning-Based Companion Animal Abnormal Behavior Detection Service, which using video and sensor data. Due to the recent increase in households with companion animals, the pet tech industry with artificial intelligence is growing in the existing food and medical-oriented companion animal market. In this study, companion animal behavior was classified and abnormal behavior was detected based on a deep learning model using various data for health management of companion animals through artificial intelligence. Video data and sensor data of companion animals are collected using CCTV and the manufactured pet wearable device, and used as input data for the model. Image data was processed by combining the YOLO(You Only Look Once) model and DeepLabCut for extracting joint coordinates to detect companion animal objects for behavior classification. Also, in order to process sensor data, GAT(Graph Attention Network), which can identify the correlation and characteristics of each sensor, was used.

• The Journal of the Korea institute of electronic communication sciences
• /
• v.18 no.5
• /
• pp.927-934
• /
• 2023

With the recent growth of the companion animal market, various social issues related to companion animals have also come to the forefront. Notable problems include incidents of dog bites, the challenge of managing abandoned companion animals, euthanasia, animal abuse, and more. As potential solutions, a variety of training programs such as companion animal-focused broadcasts and educational apps are being offered. However, these options might not be very effective for novice caretakers who are uncertain about what to prioritize in training. While training apps that are relatively easy to access have been widely distributed, apps that allow users to directly engage in training and learn through hands-on experience are still insufficient. In this paper, we propose a more efficient AR-based mobile app for companion animal training, utilizing the Unity engine. The results of usability evaluations indicated increased user engagement due to the inclusion of elements that were previously absent. Moreover, training immersion was enhanced, leading to improved learning outcomes. With further development and subsequent verification and production, we anticipate that this app could become an effective training tool for novice caretakers planning to adopt companion animals, as well as for experienced caretakers.

• The Journal of the Convergence on Culture Technology
• /
• v.7 no.1
• /
• pp.424-431
• /
• 2021

This study explores fire prevention measures for single-person households on the phenomenon of an increase in single-person households due to changes in the family structure due to low birthrate and aging population, full marriage, non-marriage, separation, bereavement, and returning to farming villages, and increased flexibility in the labor market. The factor that affects the fire of single-person households is the residential environment problem at the structural level. In terms of behavior, there is an increase in fire occurrence due to the rearing of companion animals. In order to prevent fires in single-person households, safety regulations without exceptions are needed to improve the residential environment at the structural level. At the behavioral level, it is necessary to expand the prevention and safety guidance of related organizations. In addition, as a measure to prevent fire caused by companion animals, manufacturers of electric ranges should develop safety devices to prevent fires caused by companion animals, such as an automatic power-off device or power supply using a timer. It can also be an important means to create and distribute promotional videos of measures necessary to safely raise companion animals, or to develop and distribute disaster preparedness programs implemented in virtual reality.

• Journal of the Korea Society of Computer and Information
• /
• v.27 no.2
• /
• pp.163-170
• /
• 2022

Currently, as the number of families living with companion animals increases, the demand for information about the health status of companion animals has increased. As the demand for this increases, there is a need for a method to measure respiration and pulse in companion animals. Considering the characteristics of hairy companion animals, we want to measure respiration and pulse signals using BCG, which is different from adsorption ECG. Since this BCG method is made by mixing respiration and pulse signals into one signal, it is necessary to separate the respiration signal waveform and the pulse signal waveform from one signal waveform. In this paper, a wearable device for BCG measurement was implemented to measure the signal, and a method of separating the signal input from the BCG wearable device into a respiration signal and a pulse signal was proposed.

• Journal of Korean Society of Industrial and Systems Engineering
• /
• v.42 no.2
• /
• pp.86-93
• /
• 2019

The population of domestic companion animals is estimated to be about 10 million now. In recent years, the domestic pet market has been launching a wide range of products and services for high quality, smart and well-being. As a result, the market size will increase from 900 billion won in 2012 to 2.3 trillion won in 2016, which has more than doubled in five years. The industry expects to reach 6 trillion won by 2020, expecting 3 trillion won this year. In particular, domestic dogs and cats market is estimated at 275.5 billion won, accounting for 19% of the domestic animal market and 1.425 billion won for the world market. However, despite the growing market for companion animals products, unfortunately the import dependence on related industrial goods is still high and the quality of service is very low. Unlike Europe and the United States, 90% of companion animals are housed in apartments, often causing problems in the health and safety of companions and companions. The purpose of this study is to develop a smart house for companion animals with environmental friendliness and AI function that can be won in competition with products of developed countries. The results of this study are expected to contribute to the creation of a new value - added base for the related industries through the strengthening of the competitiveness of the related SMEs and further the effect of employment increase and import substitution.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.15 no.2
• /
• pp.777-784
• /
• 2014

The purpose of this study is to understand the recognition of pet dogs between companion animal majors and non-majors regarding preference, knowledge, competence, role, image, use of pet dogs. A survey was conducted among 164 high school and college, university students from rural areas, medium and large cities, comprised of both companion animal majors and non-majors. The collected data was processed with $X^2$-test to see statistical significance between the two groups. The result showed a significance of (p<0.05) in competence as companion and working dogs and in Animal-Assisted Therapy for physically and psychologically challenged patients. Also, there was a great gap between two groups in recognizing pets and companion animals. Therefore, it is required to develop and implement policy programs that expand people's understanding on roles and competence of companion animals so that they can be identified as a real life companion beyond pets.