• Title/Summary/Keyword: user activity analysis

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Efficient Object Selection Algorithm by Detection of Human Activity (행동 탐지 기반의 효율적인 객체 선택 알고리듬)

  • Park, Wang-Bae;Seo, Yung-Ho;Doo, Kyoung-Soo;Choi, Jong-Soo
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.47 no.3
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    • pp.61-69
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    • 2010
  • This paper presents an efficient object selection algorithm by analyzing and detecting of human activity. Generally, when people point any something, they will put a face on the target direction. Therefore, the direction of the face and fingers and was ordered to be connected to a straight line. At first, in order to detect the moving objects from the input frames, we extract the interesting objects in real time using background subtraction. And the judgment of movement is determined by Principal Component Analysis and a designated time period. When user is motionless, we estimate the user's indication by estimation in relation to vector from the head to the hand. Through experiments using the multiple views, we confirm that the proposed algorithm can estimate the movement and indication of user more efficiently.

Developing User Persona Based on the Factors of Visitor Recreation Activities in Hongneung Experimental Forest

  • Jang, Youn-Sun;Yoo, Rhee-Hwa;Lee, Jeong-Hee
    • Journal of People, Plants, and Environment
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    • v.22 no.5
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    • pp.525-539
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    • 2019
  • Much research has been conducted on user behavior by taking surveys and interviews to plan the green space effectively. However, there is a limitation in understanding detailed user characteristics such as personalities and values. This study applied the Persona-based Scenario Method (PSM) to Hongneung Experimental Forest to understand the detailed needs and behaviors of the users in the forest recreation area. The PSM is a user experience modeling technique, which tries to understand the users by describing the type of users as real people. This study 1) extracts the factors of visitor recreation activities in Hongneung Experimental Forest based on the results of the survey, 2) develops user personas based on the results of survey and comes up with activity factors, and 3) designs user scenarios. As a result of applying the PSM, 64 factors of visitor activities were derived from the observation survey in 14 sites of Hongneung Experimental Forest and 25 key factors of visitor activities were chosen through observer's brainstorming. Second, three types of personas were developed considering the key factors and the results of user characteristics with quantitative and qualitative analysis. Lastly, context scenarios were designed by applying the key factors of visitor recreation activities to the persona model. We identified the design problems of the space and design requirements through the scenarios. This study has significance in that it takes an approach from the user perspective and was applied to the forest recreation area, which was mainly used in product design. The developed personas could be used for deriving design elements and setting the direction for planning considering detailed needs, behaviors and characteristics of users.

Prediction of Dietary Knowledge using Multiple Regression Analysis for Preventing Stomach Diseases (위장질환 예방을 위한 다중회귀분석을 이용한 식이지식 예측)

  • Choi, So-Young;Kim, Joo-Chang;Chung, Kyungyong
    • Journal of the Korea Convergence Society
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    • v.10 no.7
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    • pp.1-6
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    • 2019
  • Modern society is undergoing nutritional imbalance according to the diet as the number of one person increases. This is increasing the incidence of chronic diseases such as gastrointestinal diseases and digestive diseases. This study suggests the prediction of dietary knowledge using multiple regression analysis for preventing chronic stomach diseases. The proposed method manages user's stomach diseases and dietary nutrition through the prediction of nutrition knowledge. It collects user's PHR through smart device and integrates in the health platform. The integrated data analyzes the dietary and activity of the user through multiple regression analysis. It predicts the required nutrients and provides services to users through applications. Therefore, it suggests recommended dietary components and consumed calories, appropriate dietary components based on the user's basal metabolism, and gastrointestinal levels. With the personalized health management, modern people can manage gastrointestinal diseases through a balanced diet.

Analysis of Research Trends on Social Network Service: focusing on the Studies of Twitter (소셜 네트워크 서비스의 연구경향 분석: Twitter관련 연구 중심)

  • Ha, Ilkyu
    • The Journal of the Korea Contents Association
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    • v.14 no.9
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    • pp.567-581
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    • 2014
  • Recently, with the introduction of social network services, studies that try to make use of them for the various purposes have been actively developed. In order to proceed with the research that takes advantage of social network services, it is necessary to review the relevant literature and to identify trends in researches. However, the researches of social network service since 2007 are massive amount, so to review the huge amount of relevant research literature is a very difficult task. Therefore, in this study, we analyze systematically the tendency of research related to social network service focusing on Twitter. Especially, we use the SLR(Systematic Literature Review) technique for systematic literature survey and analysis. For the literature survey, we select five well-known literature resource sites and 128 studies of literature that are surveyed. In order to identify various research trends, we conduct the survey with two research groups: researches since 2007 and researches since 2011. As a result of the investigation, since 2007, the researches associated with "Application", "User Activity" and "User Content Analysis" main study topics have been mostly carried out. In addition to the result, the trend of secondary study topics in a main study topic, trends in research based on the number of citations and the scale of the experimental data and characteristics of the author are analyzed from a variety of perspectives.

A Study on the Spatial Configuration by Investigation and Analysis of user's behavior of Public Libraries in Korea (국내 공공도서관의 이용자 행위조사.분석에 따른 공간구성에 관한 연구)

  • Lee, Soo-Kyung;Kim, Yong-Seung
    • Korean Institute of Interior Design Journal
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    • v.17 no.6
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    • pp.188-196
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    • 2008
  • The study aims to find out the changing aspects of contemporary Korean libraries so called public in terms of their spatial configuration. In so doing, it analysed 14 recently built libraries by investigation of user's behavior. Interview and observation were conducted as a method of investigation. The method of analysis was based on statistics by mapping spatial data. As the result, it could be said that most users have a clear goal in Korea. In some libraries, the distinct characteristics of behavior show that users visit other functional rooms including functional rooms for the purpose. It could be said that the configuration of space in recently public libraries become more public as a place. In view of domestic affairs, in terms of users need, the reading room for personal study have features of the most private room and a static activity. so that the reading room separate from the other functional rooms in floor, but it adjoin other functional rooms in the horizontal configuration. so its location make offset a role of functional rooms can be interactive with each other, except reading room.

Correlation Analysis between Game Bots and Churn using Access Record (Access Record를 활용한 게임 봇과 유저 이탈의 상관관계 분석)

  • Kim, Young Hwan;Yang, Seong Il;Kim, Huy Kang
    • Journal of Korea Game Society
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    • v.18 no.5
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    • pp.47-58
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    • 2018
  • Game bots distribute a large amount of goods or items used in a game, thereby lowering the value of game goods and items. Also, a large number of game bots hunt monsters and collect items, which hinders ordinary users from enjoying content normally. However, no research has been done on the type of user and the type of activity that the increase in bots specifically affects. Therefore, this study provides a practical implication to encourage users to use games by classifying types based on the game users' access data and analyzing the correlation with user departure due to the increase of bots.

Transaction Mining for Fraud Detection in ERP Systems

  • Khan, Roheena;Corney, Malcolm;Clark, Andrew;Mohay, George
    • Industrial Engineering and Management Systems
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    • v.9 no.2
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    • pp.141-156
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    • 2010
  • Despite all attempts to prevent fraud, it continues to be a major threat to industry and government. Traditionally, organizations have focused on fraud prevention rather than detection, to combat fraud. In this paper we present a role mining inspired approach to represent user behaviour in Enterprise Resource Planning (ERP) systems, primarily aimed at detecting opportunities to commit fraud or potentially suspicious activities. We have adapted an approach which uses set theory to create transaction profiles based on analysis of user activity records. Based on these transaction profiles, we propose a set of (1) anomaly types to detect potentially suspicious user behaviour, and (2) scenarios to identify inadequate segregation of duties in an ERP environment. In addition, we present two algorithms to construct a directed acyclic graph to represent relationships between transaction profiles. Experiments were conducted using a real dataset obtained from a teaching environment and a demonstration dataset, both using SAP R/3, presently the predominant ERP system. The results of this empirical research demonstrate the effectiveness of the proposed approach.

A Study on Estabilshing lndicies of National Park Management with Reference to User Satisfaction (이용자 만족도에 준거한 국립공원 관리의 지표설정에 관한 연구)

  • 박찬용
    • Journal of the Korean Institute of Landscape Architecture
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    • v.23 no.1
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    • pp.39-50
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    • 1995
  • This Study aims at identifying factor and variables which have significant effects on user satisfaction with recreational resources and facilities in Juwang National Park and there-by establishes indicies of planning and / or management of the park. To test the causal models of this research, the data was gathered by self-administered questionnaires from users in Juwang National Park. The analysis of the data was conducted in two phases. The first analysis dealt with exploratory gactor analysis which identified major factors involved in satisfaction with recreational facilities in Juwang National Park. The second analysis tested the fit of causal models of this research to the data using LISREL methodology. The factor analysis identified six significant factors in satisfaction with recreational resources, The six factors are convenient park facilities, natural landacape resources, linear park facilities, mineral springs and Buddhist temples, commercial and sleeping accommodations, rest areas and open space for passive recreational activity. The second phase analysis tested the fit of the causal model for satisfaction with recreation facilities to the data. The phase identified statistically significant causal links among overall satisfaction with the park, and other indigenous factors and exogenous variables. From these causal relationships, implications for future management of Juwang National Park were suggested.

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The Information Leisure Activity of the Aging Generation and the Analysis of Meaning (노년기 소비자의 정보화 여가활동 연구와 의미 분석)

  • Kim, Yeon-Jeong
    • Journal of Family Resource Management and Policy Review
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    • v.14 no.4
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    • pp.323-340
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    • 2010
  • Many social and environmental changes have emerged due to the increasing size of the aging generation. This study explored the current status of the information leisure activity of the aging generation (computer use activity, internet service participation, social community participation and blogging, UCC, etc.) and the need for serious games among elderly consumers. It analyzed the current status of serious game and information leisure span as determined by experts on elderly care at the aging welfare institute. The research methods involved applying content analysis and focus group interviews. The results were as follows: The elderly are willing to enjoy the internet and economics networks. In particular, economic investment, economic news, health, meetings, and communication are the main internet search categories. The results for serious games are less interesting than those for IT participation. The components of usefulness in terms of serious games, as identified by care experts, are simplicity, a user-friendly interface, efficacy, and certainty in using the game device. Care experts recognize that serious games represent a supplementary device to traditional physical and emotional therapy.

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A Study on the Development of Fruit Tree Experience Programs Based on User Segmentation

  • Kwon, O Man;Lee, Junga;Jeong, Daeyoung;Lee, Jin Hee
    • Journal of Environmental Science International
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    • v.27 no.10
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    • pp.865-874
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    • 2018
  • Fruit trees are a key part of agriculture in rural areas and have recently been a part of ecotourism or agrotourism. This study analyzes user segmentation based on user motivation to determine characteristics of potential customers in fruit tree farms, and thereby develop fruit tree experience and educational programs. We conducted a survey of 253 potential customers of fruit tree experience programs in September 2017. Data were evaluated using factor and cluster analyses. The results of the cluster analysis identified four distinct segments based on potential customers' motivations, that is, activity-oriented, learning-oriented, leisure-oriented, and purchase-oriented. These clusters showed that significant differences in the preference of potential customers exist. Different markets were segmented based on the benefits sought by users. The segments' characteristics were identified and activities relevant to each segment were proposed for rural tourism. Lastly, this study suggests directions for development of fruit tree farm experience and educational programs.