• 산업융합연구
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• 제21권2호
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• pp.133-138
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• 2023

우리나라의 급속한 고령화와 핵가족화, 미혼, 저출산 등의 사회적 현상으로 1인 가구 증가에 따른 반려동물 수와 보유 가구가 증가하고 있다. 실제 4가구 중 1가구가 반려동물을 기르고 있으며, 해당 산업의 규모는 2027년 6조원에 달할 것으로 예측하고 있다. 특히 반려동물 산업의 다양화 속에서 반려동물용 화장품 시장이 각광받고 있는 상황에서 이와 관련된 연구를 고찰하고 산업발전 방안에 대한 연구들은 매우 부족한 상황이다. 이에 본 연구는 반려동물용 화장품과 관련한 학술자료, 특허기술, 최신자료를 검색 분석하여 펫화장품 산업의 기초자료로 제공하고자 시도하였으며, 그 결과는 다음과 같다. 학술 자료는 반려견 피부상태 개선을 위한 천연소재 효과성 검증과 반려동물용 화장품 산업 분석, ICT 융합 반려동물용 화장품에 관한 연구들이 진행되었고, 해당 산업은 아모레퍼시픽, LG생활건강, 애경에서 반려동물용 샴푸 출시가 이루어져 대부분 세정용 화장품이 주를 이루고 있었다. 반려동물용 특허기술에는 피부보습, 피부개선, 가렴움, 염증 증상 완화를 위한 천연물 소재 조성물과 배합비에 대한 특허등록이 이루어졌다. 이 상의 결과 반려동물용 화장품 시장의 소비 수요에 비해 연구와 개발이 아직까지는 미흡함을 확인하였고, 이에 관련 분야의 산업 분석 및 개발 연구가 활발히 이루어져야 할 것으로 생각된다.

• 한국조경학회지
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• 제33권4호
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• pp.129-142
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• 2005

Korea's pet-related society has been fast growing without the base and preparations of socio-cultural animal welfare. For the most part, Korea's current public parks, in particular, have a space structure in which a lot of friction between the general public who are not fond of dogs and dog owners in public places has been happening unavoidably. A lot of countries that are taking a lead role in animal welfare have built dog parte that the general public and dogs can enjoy together. This research starts with the realization that the concept of 'dog park' needs to be introduced in Korea as more and more Koreans own dogs and other pets. This research aims to provide guidance for dog park planning by drawing a dog park planning model and to promote basics for co-existence of dogs and people in a park and set in place animal welfare early and raise the level of awareness. Total 7 types of dog put 56 planning items including dog zone, dog playground, and agility, and a selective matrix by which it is possible to select essential recommendatory optional items by each type of dog park were drawn in this research. Overall there were the highest needs in separated area for dogs in park. A dog park planning model is designed as follows. 1) To select a dog park type that was introduced. 2) To set up facilities applicable in common and planning items desired in advance by each type. 3) To zone dog park areas by the priority order of planning items that were introduced and to position necessary facilities. 4) To plan program that should be were introduced. A dog park was expected to take some positive roles such as providing opportunities to socialize dogs, activating social communities, more effective park management by participating local community members and so on.

• Journal of Veterinary Science
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• 제23권2호
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• pp.20.1-20.8
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• 2022

Background: Emergent and re-emergent canine tick-borne infections are attracting increasing attention worldwide. The rise in pet ownership and the close relationship between dogs and their owners are the most concerning factors because dogs may act as competent reservoirs for human tick-transmitted infectious agents. Objectives: This study contributes to the epidemiological surveillance of canine tick-transmitted infections with zoonotic risk in the Republic of Korea (ROK) by investigating the seroprevalence of the pathogens, Anaplasma spp., Borrelia burgdorferi, and Ehrlichia canis. Methods: Four hundred and thirty whole blood samples from domestic dogs were collected in seven metropolitan cities and nine provinces in the ROK and tested using SensPERT Ab test kits (VetAll Laboratories^®) to detect seroreactive animals. Results: The seroprevalence rates identified were 9.8% (42/430) for Anaplasma spp., 2.8% (12/430) for B. burgdorferi, and 1.4% (6/430) for E. canis. The risk factors evaluated in this study that could be associated with the development of a humoral immune response, such as sex, age, and history of tick exposure, were similar. There was only one exception for dogs seroreactive to Anaplasma spp., where the risk factor "tick exposure" was statistically significant (p = 0.047). Conclusions: This serological survey exhibited the widespread presence of Anaplasma spp., B. burgdorferi, and E. canis throughout the ROK. Hence, dogs may play a key role as the sentinel animals of multiple zoonotic infectious agents in the country.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2019년도 춘계학술발표대회
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• pp.419-422
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• 2019

The recent increase in single-person households and family income has led to an increase in the number of pet owners. However, due to the owners' difficulty to communicate with them for 24 hours, pets, and especially dogs, tend to display unwanted behavior that can be harmful to themselves and their environment when left alone. Therefore, detecting those behaviors when the owner is absent is necessary to suppress them and prevent any damage. In this paper, we propose a camera-based system that detects a set of normal and unwanted behaviors using deep learning algorithms to monitor dogs when left alone at home. The frames collected from the camera are arranged into sequences of RGB frames and their corresponding optical flow sequences, and then features are extracted from each data flow using pre-trained VGG-16 models. The extracted features from each sequence are concatenated and input to a bi-directional LSTM network that classifies the dog action into one of the targeted classes. The experimental results show that our method achieves a good performance exceeding 0.9 in precision, recall and f-1 score.

• 한국인공지능학회지
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• 제9권1호
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• pp.29-35
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• 2021

In this paper, we analyzed the factors of adoption and implemented a predictive model to activate the adoption of animals. Recently, animal shelters are saturated due to the abandonment and loss of companion animals. To address this, we need to find a way to encourage adoption. In this paper, a study was conducted using two data from an open data portal provided by Austin, Texas. First, a correlation analysis was conducted to identify the attributes that affect the result value, and it was found that Animal Type Intake, Intake Type, and Age upon Outcome influence the Outcome Type with correlation coefficients of 0.4, 0.26, and -0.2, respectively. For these attributes, the analysis was conducted using Multiclass Logistic Regression. As a result, dogs had a higher probability of Adoption than cats, and animals subjected to euthanasia were more likely to adopt. In the case of Public Assist and Stray, it was found that the Missing rate was high. Also, the length of stay for cats increased to 12.5 years of age, while dogs generally adopted smoothly at all ages. These results showed an overall accuracy of 62.7% and an average accuracy of 91.7%, showing a fairly reliable result. Therefore, it seems that it can be used to develop a plan to promote the adoption of animals according to various factors. Also, it can be expanded to various services by interlocking with the webserver.

• Parasites, Hosts and Diseases
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• 제51권2호
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• pp.237-241
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• 2013

Giardia lamblia is recognized as one of the most prevalent parasites in dogs. The present study aimed to establish a loop-mediated isothermal amplification (LAMP) assay for rapid and specific detection of G. lamblia from dogs. The fecal samples were collected and prepared for microscopic analysis, and then the genomic DNA was extracted directly from purified cysts. The concentration of DNA samples of G. lamblia were diluted by 10-fold serially ranging from $10^{-1}$ to $10^{-5}ng/{\mu}l$ for LAMP and PCR assays. The LAMP assay allows the amplification to be finished within 60 min under isothermal conditions of $63^{\circ}C$ by employing 6 oligonucleotide primers designed based on G. lamblia elongation factor 1 alpha ($EF1{\alpha}$) gene sequence. Our tests showed that the specific amplification products were obtained only with G. lamblia, while no amplification products were detected with DNA of other related protozoans. Sensitivity evaluation indicated that the LAMP assay was sensitive 10 times more than PCR. It is concluded that LAMP is a rapid, highly sensitive and specific DNA amplification technique for detection of G. lamblia, which has implications for effective control and prevention of giardiasis.

• 한국응용곤충학회지
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• 제60권4호
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• pp.493-502
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• 2021

식용곤충 함유 반려동물 식품 시장의 성장 요인을 확인하기 위하여, 반려동물 식품시장 규모가 가장 큰 국가가 미국임을 고려하여 미국인 소비자를 대상으로 식용곤충 함유 반려동물 식품에 대한 인식과 태도를 분석하였다. 연구는 반려견을 키우는 재한 미국인 16명을 두 그룹으로 나누어 심층토론 방식으로 다음과 같은 세 가지 상황에서 진행하였다. 먼저 식용곤충 함유 반려동물 식품에 대한 자유 연상 인식을 관찰하였고, 이후 식용곤충 함유 반려동물 식품 관련 언론 정보를 제공한 후 이에 대한 태도를 분석하였으며, 마지막으로 실제 제품을 제시하여 구매 맥락에서의 소비자 태도를 확인하였다. 분석 결과, 참여자들은 식용곤충 원료에 대해 자유 연상 시 '친환경적인', '지속가능한'과 같은 환경적 가치에 대한 인식이 높고 이와 관련한 구체적 언론 정보에 대해서도 긍정적인 태도를 보였지만, 구매 맥락에서는 오히려 환경적 가치보다 '저 알레르기', '고단백질', '피부/모질 개선' 등과 같은 영양 및 건강기능적 가치를 중요하게 여기는 것으로 나타났다. 한편, '식용곤충 원료에 대한 거부감'은 일반 식품과 마찬가지로 반려동물 식품에서도 여전히 가장 중요한 부정적 요소로 나타났다. 본 연구 결과는 미국인 소비자들을 대상으로 세 가지 상황에서 식용곤충 함유 반려동물 식품의 환경적, 영양적, 건강기능적 가치에 대한 인식과 태도를 조사함으로써 식용곤충 원료 산업에서 시도하고 있는 반려동물 식품 시장 진출 전망에 대한 가능성을 확인한 것에 의의가 있다.

• 한국의류산업학회지
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• 제20권2호
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• pp.219-225
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• 2018

The purpose of this study is to make an ideal dummy for adult Maltese with proper investigation of its character and direct measurement of dog body-shape. The results of the study are as follows; First, there were 6 factors to affect the characteristics of Maltese body in the analysis, which are size of body, leg shape, chest shape, leg thickness, body length, length between fore-legs. In the cluster analysis with the 6 factors there were two types of Maltese body. Type 1 has body characteristics with large body, thick leg, and small distance between front legs. Type 2 has average size of all factors including body size, leg thickness, and length between fore-legs. Second, type 2 was selected as a representative one to make a dummy reflected body shape of characteristics because it took 67.71% from entire considered factors and has average value in the measured size. The first dummy pattern was planned by copying the surface area of the representative body shape with the method of surgical tape. A dummy of single body with trunk and legs was made using 30's cotton cloth, polyester inside batting, compressed form PVC and metallic wire on the joint of trunk and legs to support dummy shape. The second pattern was made by correcting size difference of the pattern and adding the pattern of neck covering plate, metal magnetic button was inserted on the center of joint area of trunk and legs to make detachable legs for easy slip on and off the pet's wear.

• 산업경영시스템학회지
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• 제42권2호
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• pp.86-93
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• 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.

• 방송공학회논문지
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• 제26권2호
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• pp.175-183
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• 2021

영상의 세부 분류에 대한 연구는 계속적으로 발전하고 있지만, 다형성의 성질을 갖는 동물에 대한 객체인식 연구는 더디게 진행되고 있다. 본 논문은 개와 고양이에 해당하는 애완동물 이미지만을 이용하여, 세부 분류인 동물의 종을 분류하는 방법 중 영상처리를 이용한 방법과 딥러닝을 이용한 방법을 비교하는 것을 목표로 한다. 본 논문에서 영상처리를 이용한 방법으로 객체 분리를 위해 Grab-cut 알고리즘을 사용하고, 영상 인코딩을 위해 Fisher Vector를 사용한 방법을 제안한다. 다른 방법으로는 기계학습으로 여러 분야에서 좋은 성과를 얻고 있는 딥러닝을 이용하였으며, 그 중에서도 이미지 인식 분야에서 뛰어난 성능을 보인 Convolutional Neural Network(CNN)과 구글에서 제공하는 오픈소스 기반 딥러닝 프레임워크인 Tensorflow를 활용하였다. 제안하는 각각의 방법에 대해 37종의 애완동물 이미지, 총 7,390장에 대해 실험하여 그 효과를 검증 및 비교하였다.