• 제목/요약/키워드: latent needs

검색결과 82건 처리시간 0.028초

잠재성장곡선간 인과모델을 적용한 초기 청소년의 게임 이용 동기 욕구와 고독감에 관한 종단 연구 (Longitudinal Analysis of Young Adolescents' Game Motivation Needs and Loneliness applied Latent Growth Cause-and-Effect Models)

  • 이혜림
    • 한국멀티미디어학회논문지
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    • 제19권8호
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    • pp.1626-1635
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    • 2016
  • This study examines whether online game motivation, with social and expedition needs, are associated with the degree of loneliness among young adolescents. Using data from a survey of 2014 elementary-, middle- and high-school students in South Korea, a three-wave online survey was conducted to collect data from online players. Two latent growth cause-and-effect models were developed to test whether online game motivation influences degree of loneliness. Results showed that both social and expedition needs are positively associated with loneliness. This study contributes to the knowledge of the underlying needs for a player with loneliness and also highlights the social and expedition needs as potential therapeutic factors.

The Verification of the Reliability and Validity of Special Needs Education Assessment Tool (SNEAT) in Miyagi, Japan

  • HAN, Changwan;KOHARA, Aiko
    • 한국콘텐츠학회:학술대회논문집
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    • 한국콘텐츠학회 2016년도 춘계 종합학술대회 논문집
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    • pp.383-384
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    • 2016
  • The Special Needs Education Assessment Tool (SNEAT) were verified of reliability and validity. However, the reliability and validity has been verified is only Okinawa Prefecture, the national data has not been analyzed. Therefore, this study aimed to verify the reliability and construct validity of SNEAT in Miyagi Prefecture as part of the national survey. SNEAT using 55 children collected from the classes on independent activities of daily living for children with disabilities in Miyagi Prefecture between November and December 2015. Survey data were collected in a longitudinal prospective cohort study. The reliability of SNEAT was verified via the internal consistency method; the coefficient of Cronbach's ${\alpha}$ were over 0.7. The validity of SNEAT was also verified via the latent growth curve model. SNEAT is valid based on its goodness-of-fit values obtained using the latent growth curve model, where the values of comparative fit index (0.997), tucker-lewis index (0.996) and root mean square error of approximation (0.025) were within the goodness-of-fit range. These results indicate that SNEAT has high reliability and construct validity.

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잠재계층분석기법(Latent Class Analysis)을 활용한 영화 소비자 세분화에 관한 연구 (Segmentation of Movie Consumption : An Application of Latent Class Analysis to Korean Film Industry)

  • 구교령;이장혁
    • 한국경영과학회지
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    • 제36권4호
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    • pp.161-184
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    • 2011
  • As movie demands become more and more diversified, it is necessary for movie related firms to segment a whole heterogeneous market into a number of small homogeneous markets in order to identify the specific needs of consumer groups. Relevant market segmentation helps them to develop valuable offer to target segments through effective marketing planning. In this article, we introduce various segmentation methods and compare their advantages and disadvantages. In particular, we analyze "2009~2010 consumer survey data of Korean Film Industry" by using Latent Class Analysis(LCA), a statistical segmentation method which identifies exclusive set of latent classes based on consumers' responses to an observed categorical and numerical variables. It is applied PROC LCA, a new SAS procedure for conducting LCA and finally get the result of 11 distinctive clusters showing unique characteristics on their buying behaviors.

A Comparative Study between LSI and LDA in Constructing Traceability between Functional and Non-Functional Requirements

  • Byun, Sung-Hoon;Lee, Seok-Won
    • 한국컴퓨터정보학회논문지
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    • 제24권7호
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    • pp.19-29
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    • 2019
  • Requirements traceability is regarded as one of the important quality attributes in software requirements engineering field. If requirements traceability is guaranteed then we can trace the requirements' life throughout all the phases, from the customers' needs in the early stage of the project to requirements specification, deployment, and maintenance phase. This includes not only tracking the development artifacts that accompany the requirements, but also tracking backwards from the development artifacts to the initial customer requirements associated with them. In this paper, especially, we dealt with the traceability between functional requirements and non-functional requirements. Among many Information Retrieval (IR) techniques, we decided to utilize Latent Semantic Indexing (LSI) and Latent Dirichlet Allocation (LDA) in our research. Ultimately, we conducted an experiment on constructing traceability by using two techniques and analyzed the experiment results. And then we provided a comparative study between two IR techniques in constructing traceability between functional requirements and non-functional requirements.

스팀 에젝터에 의한 강제 증발 방식의 냉각 특성에 관한 연구 (Study on Cooling Charcteristics of Forced Evaporation by using Steam Ejector)

  • 손호재;이윤환;김영근;정효민
    • 동력기계공학회지
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    • 제10권2호
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    • pp.41-46
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    • 2006
  • This study shows a water cooling system by using a steam ejector and jet condenser to drop the temperature of the water by about $5^{\circ}C\;from\;25^{\circ}C$ or higher. In this research, to replace the present water cooling system, we focused on a water cooling system by latent heat of evaporation, thus this system needs a vacuum pressure to evaporate the water in enclosed tank. The water cooling effects are depended on the vacuum pressure in the enclosed tank, and the cooling water is generated by latent head of evaporation. As the experimental results, the absolute vacuum pressure obtained was about $5{\sim}8$ mmHg using a steam driven ejector with jet condenser.

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Design and Implementation of Intelligent Medical Service System Based on Classification Algorithm

  • Yu, Linjun;Kang, Yun-Jeong;Choi, Dong-Oun
    • International Journal of Internet, Broadcasting and Communication
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    • 제13권3호
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    • pp.92-103
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    • 2021
  • With the continuous acceleration of economic and social development, people gradually pay attention to their health, improve their living environment, diet, strengthen exercise, and even conduct regular health examination, to ensure that they always understand the health status. Even so, people still face many health problems, and the number of chronic diseases is increasing. Recently, COVID-19 has also reminded people that public health problems are also facing severe challenges. With the development of artificial intelligence equipment and technology, medical diagnosis expert systems based on big data have become a topic of concern to many researchers. At present, there are many algorithms that can help computers initially diagnose diseases for patients, but they want to improve the accuracy of diagnosis. And taking into account the pathology that varies from person to person, the health diagnosis expert system urgently needs a new algorithm to improve accuracy. Through the understanding of classic algorithms, this paper has optimized it, and finally proved through experiments that the combined classification algorithm improved by latent factors can meet the needs of medical intelligent diagnosis.

잠재계층분석을 활용한 결혼이주여성의 건강관련행동 군집유형과 영향요인 (Health related behavior patterns and associated factors among marriage immigrant women using latent class analysis)

  • 조원섭;유승현;김혜경
    • 보건교육건강증진학회지
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    • 제32권5호
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    • pp.17-31
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    • 2015
  • Objectives: This paper aims to identify the health related behaviors patterns and its associated factors among marriage immigrant women in Korea, and discusses their application to health promotion strategies. Methods: The study participants were 7,591 immigrant wives in Gyeonggi province who participated in health examinations conducted by the Korea Association of Health Promotion in 2011-2013. The participants completed self-administered questionnaires on sociodemographics, psychological characteristics, health status and health care factors, and health related behaviors. Results: A 3-latent-class model of health behaviors was identified related to 'lack of physical activity', 'abnormal diet', and 'not experienced medical check-up': 'high risk class', 'middle risk class', and 'low risk class'. Most of the participants belong to 'middle risk class'. Country of origin, age, length of stay, number of children, work status, health insurance status, and unmet health care needs were associated with problematic health behaviors in middle risk health behavior class. Conclusions: Health promotion and intervention programs for marriage immigrant women and their family members need to consider the health behavior patterns of physical inactivity, abnormal diet and no medical check-up and develop multiple behavior intervention with pre-existing program modification.

Latent Dirichlet Allocation 토픽모델링을 이용한 한방 의료 서비스 분석에 관한 연구 : 의료 소비자의 온라인 리뷰를 중심으로 (A Study on the Analysis of Korean Medical Services using Latent Dirichlet Allocation Topic Modeling : Focusing on online reviews by medical consumers)

  • 손채연;송연우;이승호
    • 대한예방한의학회지
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    • 제26권1호
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    • pp.43-57
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    • 2022
  • Objective : This study aims to understand the consumer's needs for Korean medicine medical service using online review analysis of medical consumers. Methods : We analyzed the purpose and satisfaction factors of medical service use using LDA (Latent Dirichlet Allocation) topic modeling. The data used in the study was 120,727 screened reviews written by medical consumers registered on Naver. The analyzed results were compared with the "2020 Korean Medicine Utilization Survey". Results : From 2018 to 2021, the five most frequently used terms were "kindness", "treatment", "doctor", "Korean medicine", and "acupuncture". The main purpose of visiting Korean medicine medical clinic and hospital was to treat "traffic accidents" in 2018, "waist(back) pain" in 2019, "musculoskeletal pain" in 2020 & 2021. Based on the rating, reviewers were satisfied with "explanation of treatment" and "treatment attitude", and dissatisfied with "accessibility to the institution". Conclusion : We concluded that the main purpose of use of Korean medicine institution was to treat musculoskeletal disorders. Based on the results of this study, it is expected that it will be used to improve Korean medicine medical service in the future.

잠재프로파일 분석을 이용한 성인 도박자의 심리적 특성과 문제도박 수준의 차이 (Latent Profile Analysis of Korean Adult Gamblers' Psychological Characteristics and Their Differences in Levels of Problematic Gambling)

  • 김재환;오성은;장성호
    • 한국심리학회지 : 문화 및 사회문제
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    • 제28권4호
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    • pp.577-595
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    • 2022
  • 본 연구는 잠재프로파일 분석을 활용하여 성인 도박자의 심리적 특성을 분류하고, 잠재프로파일에 따른 결과를 확인하고자 하였다. 이를 위해 본 연구는 도박행동 패턴, 기본심리욕구, 및 스트레스, 우울, 불안과 같은 정신건강 수준에 대해 온라인 설문에 참여한 도박자 473명을 대상으로 하였다. 잠재프로파일 분석을 한 결과 성인 도박자의 심리적 특성은 크게 3가지 유형으로 나타났으며, '정신건강-심리욕구 저 집단', '정신건강-심리욕구 중 집단', '정신건강-심리욕구 고 집단'으로 나타났다. 또한, 결과변수인 문제도박 수준은 각 잠재프로파일에 따라 유의하게 다른 차이를 보였으며, 정신건강-심리욕구 저 집단은 문제성 도박, 정신건강-심리욕구 중 집단은 중위험 도박, 정신건강-심리욕구 고 집단은 저위험 도박 수준으로 나타났다. 본 연구는 기존의 도박 문제에 대한 변인 중심의 연구의 한계를 극복하고, 도박자들의 심리적 특성들과 그들의 다른 잠재프로파일에 따른 문제도박 수준의 차이에 대한 새로운 통찰을 제공하였다는 점에서 의의가 있다. 끝으로 본 연구의 한계와 향후 도박문제에 대한 연구방향에 대해서 제언하였다.