• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.05a
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• pp.165-167
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• 2022

The proportion of cat cats among companion animals has been increasing at an average annual rate of 25.4% since 2012. Cats have strong wildness compared to dogs, so they have a characteristic of hiding diseases well. Therefore, when the guardian finds out that the cat has a disease, the disease may have already worsened. Symptoms such as anorexia (eating avoidance), vomiting, diarrhea, polydipsia, and polyuria in cats are some of the symptoms that appear in cat diseases such as diabetes, hyperthyroidism, renal failure, and panleukopenia. It will be of great help in treating the cat's disease if the owner can recognize the cat's polydipsia (drinking a lot of water), polyuria (a large amount of urine), and frequent urination (urinating frequently) more quickly. In this paper, 1) Efficient version of DeepLabCut for posture prediction running on an artificial intelligence server, 2) yolov4 for object detection, and 3) LSTM are used for behavior prediction. Using artificial intelligence technology, it predicts the cat's next, polyuria and frequency of urination through the analysis of the cat's behavior pattern from the home CCTV video and the weight sensor of the water bowl. And, through analysis of cat behavior patterns, we propose an application that reports disease prediction and abnormal behavior to the guardian and delivers it to the guardian's mobile and the main server system.

• Journal of Korea Entertainment Industry Association
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• v.5 no.2
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• pp.77-86
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• 2011

This paper is aimed at analyzing the relationship between users' actions in relation to a SNG (Social Network Game), which mainly targets communities, and the motivations that give rise to such selective actions. The subjects of existing researches on game area have rarely dealt with game users but mainly focused on the studies and utilization of game production technologies; and, in cases of studies on games users, their subjects have been hardly more than observations of users' behaviors in relation to the performance to achieve certain goals or themes of a game; for example, upgrading a character's level or obtaining rewards through "defeat". Therefore, it is necessary to analyze the actions of SNS game users from the perspective of behavioral selections caused by various motivations of human beings rather than approaching from the perspective of problem solving methods. In order to accomplish this goal, fist of all, Lazzaro's People Fun model and motivation theory of SNS users will be analyzed. Secondly, relevant materials from 13 SNG cases will be collected. Games' events and the functional actions of users will be classified. Lastly, the primary actions of SNG users will be classified into 8 different types and motivations - action patterns will be analyzed based on the classified materials.

• Journal of Music and Human Behavior
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• v.11 no.2
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• pp.1-18
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• 2014

This study investigated the performance patterns in percussion improvisation of adolescents with behavior problems. A total of 40 middle school students participated in this study. Based on prescreening test results, the participants were assigned to either the impulsive tendency or depressive tendency groups. Both groups received two 45-minute group percussion improvisation. During the improvisation, all playing behaviors were recorded and analyzed in terms of rhythm pattern, instrument selection, intensity, and tempo of performance and performance duration. The results showed that while they were differences in improvised rhythm patterns between the two groups, the groups showed a similar tendencies in their instrument selection. With regard to performance parameters, the two groups showed significant difference in the tempo and duration of performance, but no significant difference was found in terms of intensity. This indicates that adolescents who exhibit behavior problems may be different in their playing patterns depending on their behavioral tendencies. Based on the results, music therapists can have a better understanding of how musical features expressed by this population relate to their inherent emotional and behavioral traits and how therapists should facilitate musical expression of these adolescents to address their needs.

• Knowledge Management Research
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• v.23 no.3
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• pp.259-284
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• 2022

In order to help the understanding of web novel users, this study was intended to quantitatively verify the user's behavioral types according to the characteristics of web novels. For this purpose, the direction of the study proceeded as follows. First, the motives of web novel users were investigated by referring to the motives of other digital content users. In addition, specific behavioral types of users were also collected. As a result, the motivation for using web novels was found to be 'interpersonal relationships and information acquisition with others', 'leisure activities', and 'escape from reality/relieve tension'. After that, the groups were classified as to whether there was a difference between groups according to the motives of use. As a result, the 'hobbies' type, a group with a particularly high motivation for using leisure activities, the 'stress relief' type, a group with very high escapism and tension relief characteristics, and a group with high interpersonal relationships and information acquisition with others The 'communication' type was classified as a 'multipurpose' type with high overall motivation characteristics. Then, in order to find out the specific characteristics between the types, personas were constructed based on the different behavior type data. Through this, the theoretical contribution of this study is meaningful in that it revealed the motives of web novel users. As a practical contribution, the persona was formed by combining the users' motives and behavioral patterns and visualized to be close to the actual representative users. These results are expected to help improve the web novel service by providing useful indicators for actual writers, platform managers, and users.

• Journal of Software Assessment and Valuation
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• v.17 no.1
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• pp.83-92
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• 2021

There are continuous and tremendous attempts to apply various sensor systems and ICTs into the dairy science for data accumulation and improvement of dairy productivity. However, these only concerns the fields which directly affect to the dairy productivity such as the number of individuals and the milk production amount, while researches on the physiology aspects of dairy cows are not enough which are fundamentally involved in the dairy productivity. This paper proposes the basic approach for extraction of daily behavior pattern from hourly behavioral data of dairy cows to identify the health status and stress. Total four clusters were grouped by k-means clustering and the reasonability was proved by visualization of the data in each groups and the representatives of each groups. We hope that provided results should lead to the further researches on catching abnormalities and disease signs of dairy cows.

• Proceedings of the Korean Information Science Society Conference
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• 2008.06d
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• pp.297-301
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• 2008

광대역 통신망의 발달과 더불어 정보통신 및 디지털 영상 기기의 대중화로 인해 텍스트 및 사진 위주의 정보 전달과 달리 소리와 영상을 기반으로 한 멀티미디어 정보 전달이 우리 생활 속의 일부로 자리 잡고 있다. 이러한 멀티미디어 정보 전달에 있어 트래픽 분산을 위한 P2P(Peer to Peer) 방식의 실시간 스트리밍 서비스에 대해 많은 연구가 있었다. 본 논문에서는 "사용자"를 중심에 두고 사용자의 서비스 이용에 대한 패턴을 파악하기 위해 사용한 "Afreeca" 인터넷 방송서비스와 사용자 패턴 수집 방법에 대해 설명한 다음, 수집된 결과를 이용하여 컨텐츠 특성별 사용자 패턴의 차이와 특징을 분석해 보았다.

• 한국어정보학회:학술대회논문집
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• 2016.10a
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• pp.235-238
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• 2016

본 논문은 사기업들의 개방 데이터를 바탕으로 사용자의 과거 행동과 주변 상황정보를 토대로 사용자의 음식 기호를 맞추는 앱 어플리케이션 '눈치코칭_음식'의 설계 및 구현에 대하여 서술한다. '눈치코칭_음식'은 사용자가 쉽게 음식점을 추천 받을 수 있도록 만들어진 앱 어플리케이션으로 기존의 필터링 방식으로 사용자가 검색하는 방식의 유사한 어플리케이션들과 달리 사용자의 주변 상황과 사용자의 행동패턴 분석을 통해 문제해결에 대한 도움을 줌으로써 시간 절약을 할 수 있다. 사용자의 별도의 입력을 받지 않고 앱에서의 간단한 클릭과 나의 음식 저장과 같은 기능을 활용할 때의 주변 위치나 날씨와 같은 상황정보를 함께 저장한 후 다음 앱 사용 시기의 상황정보와 비교하여 기존 데이터를 바탕으로 사용자에게 다시금 피드백 되는 앱이다. 사용자의 행동패턴에 따라 알림 기능을 활용하기 위해서 사용자 식사 시간 설정 기능을 통해 매일 식사하는 시간에 알림 설정을 할 수 있도록 만들었다. 또한 사용자의 편의성을 위해서 음식선택 시간의 평균을 내서 해당 설정 식사시간을 추적할 수 있도록 구성하였다.

• Annual Conference on Human and Language Technology
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• 2016.10a
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• pp.235-238
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• 2016

본 논문은 사기업들의 개방 데이터를 바탕으로 사용자의 과거 행동과 주변 상황정보를 토대로 사용자의 음식 기호를 맞추는 앱 어플리케이션 '눈치코칭_음식'의 설계 및 구현에 대하여 서술한다. '눈치코칭_음식'은 사용자가 쉽게 음식점을 추천 받을 수 있도록 만들어진 앱 어플리케이션으로 기존의 필터링 방식으로 사용자가 검색하는 방식의 유사한 어플리케이션들과 달리 사용자의 주변 상황과 사용자의 행동패턴 분석을 통해 문제해결에 대한 도움을 줌으로써 시간 절약을 할 수 있다. 사용자의 별도의 입력을 받지 않고 앱에서의 간단한 클릭과 나의 음식 저장과 같은 기능을 활용할 때의 주변 위치나 날씨와 같은 상황정보를 함께 저장한 후 다음 앱 사용 시기의 상황정보와 비교하여 기존 데이터를 바탕으로 사용자에게 다시금 피드백 되는 앱이다. 사용자의 행동패턴에 따라 알림 기능을 활용하기 위해서 사용자 식사 시간 설정 기능을 통해 매일 식사하는 시간에 알림 설정을 할 수 있도록 만들었다. 또한 사용자의 편의성을 위해서 음식선택 시간의 평균을 내서 해당 설정 식사시간을 추적할 수 있도록 구성하였다.

• Korean Journal of Child Studies
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• v.14 no.2
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• pp.137-147
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• 1993

감정이입은 친사회적 행동의 잠재적 동기요인으로서 발달심리학자들 (e.g., Feshbach, 1978 ; Hoffman, 1975)로부터 지대한 관심을 받아왔다. 어려움에 처한 다른 사람에 대해 감정이입적으로 자극된 사람은 상호 체험하는 심적 고통(distress)으로부터 벗어난다는 기대에 의해서, 또는 지원적 행위 후에 대리체험할 수 있는 긍정적인 감정에 대한 기대에 의해서, 그 사람을 지원하도록 동기유발 되어질 수 있다(Barnett & Thompson, 1985; Hoffman, 1975). 감정이입과 친사회적 행동 사이의 긍정적 관계에 대한 충분한 이론적 근거에도 불구하고, 그 관련성을 실증하는데 실패한 많은 연구들에서 나타난 개념적, 방법론적 문제들이 본 논문에서 분석되었다. 성인의 감정이입과 친사회적 행동과의 관계에 대한 연구들은 상당히 일관된 긍정적 결과를 제시해온 반면, 아동들, 특히 어린 유아들을 대상으로 한 경우, 명백하거나 쉽게 해석할 수 있는 패턴의 관련성이 확립되지 못했다. 이러한 종전 연구에서의 문제점은 감정이입에 대한 개념적 논쟁 및 측정방법의 어려움에 기인할 수 있다. 감정이입과 친사회적 행동 사이의 실험적인 관련성의 강도는 이 변인들을 측정하기 위해 사용된 방법들의 특성과 제한성에 다분히 의존하는 것으로 보인다. 친사회적 반응에 영향을 미치는 것으로 가정되어지는 다양한 상황적, 동기적 요소들을 감안하여, 유아의 감정이입 능력이 구체적인 사회적 상황에서 작용되는 과정이 보다 면밀하게 연구되어져야 한다.

• Journal of the Institute of Electronics Engineers of Korea TE
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• v.42 no.3
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• pp.31-38
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• 2005

This paper proposes an implementation method of intelligent characters that can properly adapt to action patterns of opponent characters in fighting games by using genetic algorithm. For this intelligent characters, past actions patterns of opponent characters should be included in the learning process. To verify the effectiveness of the proposed method, two types of experiments are performed and their results are compared. In first experiment(exp-1), intelligent characters consider current action and its step of an opponent character. In second experiment (exp-2), on the other hands, they take past actions of an opponent characters into account additionally. As a performance index, the ratio of score obtained by an intelligent character to that of an opponent character is adopted. Experimental results shows that even if the performance index of exp-1 is better than that of exp-2 at the beginning of stages, but the performance index of exp-2 outperforms that of exp-1 as stages go on. Moreover, optimum solutions are always found in all experimental cases in exp-2. Futhermore, intelligent characters in exp-2 could learn moving actions (forward and backward) and waiting actions for getting more scores through self evolution.