• Title/Summary/Keyword: Representative human model

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감성 만족도의 정량화를 위한 퍼지 소속 함수 개발 (Development of Fuzzy Membership Function for Emotional Satisfaction Quantification)

  • 박준석;명노해
    • 대한인간공학회지
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    • 제23권2호
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    • pp.37-54
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    • 2004
  • Fuzzy theory provides an intelligence treatment model for judgement about information when it needs a solution or a decision making about vague problems. Therefore, fuzzy theory is used for appropriate evaluation and decision on obscure information as human's emotion in human factors, In previous study, fuzzy membership function is defined for judgement infOlmation as human's emotion then ultimate results are deducted through fuzzy inference model. This method uses general CWTent through literature review or max, min and average as representative statics value about considering variables. But, this method makes away with nonlinear's or inegular's factors of human sensibility. Accordingly, application of this method leads to considerable loss of information in the ultimate evaluation. For that reason, this method has a limitation in objective evaluation of human factors. So, this study focuses on development of fuzzy membership function, which evaluates human's emotion or feeling accurately and objectively. We used the regression analysis and reasoned a fuzzy membership function about the relation of the variables. Then we verified the adequacy with the reliability through the experiment after this.

Development of a reference framework to assess stylized human intrusion scenarios using GENII Version 2 considering design features of planned near-surface disposal facility in Korea

  • Kwon, Ki Nam;Cheong, Jae Hak
    • Nuclear Engineering and Technology
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    • 제51권6호
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    • pp.1561-1574
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    • 2019
  • A standard form of six stylized human intrusion scenarios for a near-surface disposal facility (e.g. the planned Korean repository, Gyeongju Phase II) is proposed through re-categorization of totally thirty-one past cases reported in public literature. A reference assessment framework for inadvertent human intrusion is newly developed using GENII Version 2 conforming to the ICRP Publication 60 and thereafter. Calculated dose from the assessment framework is verified by comparing with hand calculation results for simplified model equations independently derived. Results from GENII Version 2 and 1.485 show inevitable differences, which is mainly attributed to the difference in the external dose assessment model. If intake dose coefficients in GENII Version 1.485 are modified, the difference can be reduced but still exist to an extent. Through deterministic and probabilistic sensitivity analysis, most affecting four parameters are derived and uncertainties of the parameters are quantified. It is expected that the reference assessment framework together with representative stylized scenarios can be used to do a human intrusion impact assessment for a specific repository using site-specific information. Especially, the past practice of human intrusion impact assessment using GENII Version 1.485 with or without modification may be replaced with the new assessment framework developed in this study.

Prediction of Human Performance Time to Find Objects on Multi-display Monitors using ACT-R Cognitive Architecture

  • Oh, Hyungseok;Myung, Rohae;Kim, Sang-Hyeob;Jang, Eun-Hye;Park, Byoung-Jun
    • 대한인간공학회지
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    • 제32권2호
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    • pp.159-165
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    • 2013
  • Objective: The aim of this study was to predict human performance time in finding objects on multi-display monitors using ACT-R cognitive architecture. Background: Display monitors are one of the representative interfaces for interaction between people and the system. Nowadays, the use of multi-display monitors is increasing so that it is necessary to research about the interaction between users and the system on multi-display monitors. Method: A cognitive model using ACT-R cognitive architecture was developed for the model-based evaluation on multi-display monitors. To develop the cognitive model, first, an experiment was performed to extract the latency about the where system of ACT-R. Then, a menu selection experiment was performed to develop a human performance model to find objects on multi-display monitors. The validation of the cognitive model was also carried out between the developed ACT-R model and empirical data. Results: As a result, no significant difference on performance time was found between the model and empirical data. Conclusion: The ACT-R cognitive architecture could be extended to model human behavior in the search of objects on multi-display monitors.. Application: This model can help predicting performance time for the model-based usability evaluation in the area of multi-display work environments.

광역대표도서관의 메타버스 기반 협력적 콘텐츠 구축 모델: 경기도 지역을 중심으로 (A Metaverse-based Collaborative Content Building Model for Representative Libraries: Focusing on the Gyeonggi-do Region)

  • 김성훈;김미령;노윤주;심효정
    • 정보관리학회지
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    • 제40권3호
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    • pp.221-244
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    • 2023
  • 주민참여예산으로 메타버스 서비스를 준비하고 있는 경기도서관을 중심으로 선행연구와 각종 정보자원을 분석하여 경기광역대표도서관에 적합한 메타버스의 역할을 도출하였다. 그리고 광역대표도서관을 중심으로 협력적 콘텐츠 구축 및 서비스 모델을 일차적으로 제시한 뒤, 광역대표도서관, 경기도를 비롯한 전국의 각종 도서관의 현장 사서들을 대상으로 설문조사를 실시하여 광역대표도서관의 메타버스 역할, 콘텐츠, 협력 가능한 콘텐츠 및 원활한 협력을 위한 고려사항 등을 도출하였다. 사서들의 의견을 조사한 결과, 광역대표도서관 메타버스의 역할은 도서관 자료의 연속적인 이용을 위한 도구이며 지역 전체를 위한 서비스 공간이 되어야 한다는 것을 알 수 있었다. 또한 응답자의 3/4이 협력적 콘텐츠 구축에 참여의향을 보였으며, 참여 시 우려가 되는 점은 인력과 예산, 업무과중으로 나타났으며, 광역대표도서관의 체계적인 지원이 필요함을 볼 수 있었다.

3차원 모핑기법에 의한 18-24세 여성의 체형별 대표 형상 도출을 위한 연구 (Development of a Representative Model for Different Body Shapes of 18-24 Aged Women - An Application of a 3D Morphing Technique -)

  • 신주영;최영림;남윤자
    • 한국의류산업학회지
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    • 제13권4호
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    • pp.590-599
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    • 2011
  • The purpose of this study is to classify body types into different groups based on 3D scanned data, and identify the representative body shapes that most frequently appear in the groups. A high frequency range was defined based on body measurement data, and representative shapes were identified based on body scan data of women aged 18-24. The major findings of this study are as follows. First, the three typical types of height, bust and drop mixes among Korean women aged 18-24 are as follows:) 155-88-N,) 160-82-A, and 165-85-A. Regarding the body type, the A and N types frequently appeared, while the H type was rare. Second, among the subjects of the high-frequency groups, upright bodies were selected as sample models and were used for morphing. An adjustment was made to the morphing results to reflect the body characteristics of the sample models evenly. Third, to verify the morphing results, the body sizes of the sample models and the created models were compared. The result showed that, the sizes were close to the average size of the sample models. Fourth, to verify whether the morphing processes adequately reflected the features of the body shapes, cross-section models of key body parts were made and the degree of representativeness was determined.

Dynamic gesture recognition using a model-based temporal self-similarity and its application to taebo gesture recognition

  • Lee, Kyoung-Mi;Won, Hey-Min
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제7권11호
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    • pp.2824-2838
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    • 2013
  • There has been a lot of attention paid recently to analyze dynamic human gestures that vary over time. Most attention to dynamic gestures concerns with spatio-temporal features, as compared to analyzing each frame of gestures separately. For accurate dynamic gesture recognition, motion feature extraction algorithms need to find representative features that uniquely identify time-varying gestures. This paper proposes a new feature-extraction algorithm using temporal self-similarity based on a hierarchical human model. Because a conventional temporal self-similarity method computes a whole movement among the continuous frames, the conventional temporal self-similarity method cannot recognize different gestures with the same amount of movement. The proposed model-based temporal self-similarity method groups body parts of a hierarchical model into several sets and calculates movements for each set. While recognition results can depend on how the sets are made, the best way to find optimal sets is to separate frequently used body parts from less-used body parts. Then, we apply a multiclass support vector machine whose optimization algorithm is based on structural support vector machines. In this paper, the effectiveness of the proposed feature extraction algorithm is demonstrated in an application for taebo gesture recognition. We show that the model-based temporal self-similarity method can overcome the shortcomings of the conventional temporal self-similarity method and the recognition results of the model-based method are superior to that of the conventional method.

서양 대표사상의 서비스철학성 연구 (A Study on the Service Philosophy of Major Western Ideology)

  • 김현수
    • 서비스연구
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    • 제9권3호
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    • pp.1-16
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    • 2019
  • 본 연구는 선행연구들에 이어서 서비스철학 정립을 위해 서양 대표사상의 서비스철학성을 고찰하였다. 선행 연구들을 참조하여 서비스철학의 구조와 운용모델을 종합하여 제시하고, 서양 대표사상의 서비스철학성을 분석하였다. 시대별로 서양 대표사상을 분석하였는데, 고대 지중해 철학, 아테네철학을 서비스구조 관점에서 상세히 분석하고, 근대 사상과 현대사상은 서비스 운용모델 정합성 관점에서 자세히 분석하였다. 서비스의 무형성과 과정성 특징이 서양 대표사상의 세계관과 부합하는지를 분석하고, 서비스의 본질적 특성인 관계성, 쌍방향성, 수평성, 조화성이 서양대표사상에서 공통적으로 강조되고 있는지를 분석하였다. 또한 서비스의 나선형 발전 모델이 서양대표사상에서의 세계 발전 모델과 정합되는지도 고찰하였다. 고대 사상에서 근대사상까지 주류 사상들은 대립물의 변증법적 발전을 강조하고 있어 서비스의 태극형 기본 구조가 서양 사상에서의 세계의 운행구조와 부합되고 있는 것으로 나타났다. 또한 고대에서 현대 사상에 이르기까지 순환론과 과정론이 중심사상으로 나타나고 있어 프로세스가 가치를 창출하는 서비스 운용모델과 일관성이 있는 것으로 나타났다. 관계성과 조화성은 대다수의 서양사상가들이 세상의 근본 운행원리로 제시하고 있으며, 쌍방향성과 수평성도 세상의 이상적인 운영모델로 제시되고 있다. 서양 대표사상들을 활용하여 서비스철학을 보다 심화시킬 수 있으며, 인류사회를 이끌어가는 사상으로서 서비스철학이 중심 역할을 할 수 있음이 확인되었다. 향후 신경제사회의 중심사상으로서 서비스철학의 구조와 운용원리를 완성하기 위한 후속 연구들이 필요하다. 미래 경제사회 발전을 견인하는 큰 사상으로서 서비스철학 완성 연구가 필요하다.

원자력 산업의 위반오류 발생 메커니즘 개발 및 유형 분류 (Conceptual Models of Violation Error in a Nuclear Power Plant)

  • 강보라;한성호;정동영;이용희
    • 한국안전학회지
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    • 제31권1호
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    • pp.126-131
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    • 2016
  • Although many studies have been conducted to find solutions to deal with human errors effectively, violations have been rarely studied in depth. The violation is a type of human error when an employee takes an action with intention but does not intend harmful outcomes. Violations have characteristics similar to other types of human errors but it is difficult to understand the intention of an employee from accident reports. The objective of this study is to develop a conceptual model of violation errors for preventing accidents/failures in a nuclear power plant from violation errors. Based on the previous studies, the characteristics of violations were collected in 9 categories and 136 items. They were classified into three-kinds of characteristics (human-related, task-related, organization-related characteristics) to construct conceptual models of routine/situational violations. The representative cases of accidents/failures in a nuclear power plant were analyzed to derive the specific types of routine/situational violation occurrence. Three types of conceptual model for each violation were derived according to whether the basic, human-related, and task-related characteristics are included or not. The conceptual models can be utilized to develop guidelines to support employees preventing routine/situational violations and to develop supportive system in nuclear power plant.

체감온도이론의 비교 연구 (A Comparative Study on the Windchill Indices)

  • 박정환;한욱;박래설
    • 한국지구과학회지
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    • 제23권8호
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    • pp.676-682
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    • 2002
  • 겨울철 체감온도는 온도와 바람에 의해 느끼는 추위의 정도를 정량화한 것이다. Siple-Passel은 최초로 바람에 의한 냉각효과를 이용하여 바람냉각상당온도를 제시하였으나 일반인에게 적합하지 않기 때문에 많은 문제점이 지적되어 왔으므로 이 논문에서 결점들을 비교 분석하였다. Steadman 모델은 열평형(thermal equilibrium) 이론에 근거하여 보다 현실적이지만 추위의 정도를 구분하여 설명하지 못하였다. 최근 캐나다와 미국에서 개발한 JAG/TI-모델은 보다 정확하고 이해하기 쉬우며 인체실험을 반영하였으나 태양복사, 습도, 개인의 신체적 차이 등은 고려하지 않았다. 나이, 사람의 활동, 건강, 신진대사 등이 다르기 때문에 어느 모델이 사람에게 적합한지는 실험 비교가 필요하다. 따라서 우리의 야전환경에 적합한 체감온도모델의 개발이 요구된다.

A Kidnapping Detection Using Human Pose Estimation in Intelligent Video Surveillance Systems

  • Park, Ju Hyun;Song, KwangHo;Kim, Yoo-Sung
    • 한국컴퓨터정보학회논문지
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    • 제23권8호
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    • pp.9-16
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    • 2018
  • In this paper, a kidnapping detection scheme in which human pose estimation is used to classify accurately between kidnapping cases and normal ones is proposed. To estimate human poses from input video, human's 10 joint information is extracted by OpenPose library. In addition to the features which are used in the previous study to represent the size change rates and the regularities of human activities, the human pose estimation features which are computed from the location of detected human's joints are used as the features to distinguish kidnapping situations from the normal accompanying ones. A frame-based kidnapping detection scheme is generated according to the selection of J48 decision tree model from the comparison of several representative classification models. When a video has more frames of kidnapping situation than the threshold ratio after two people meet in the video, the proposed scheme detects and notifies the occurrence of kidnapping event. To check the feasibility of the proposed scheme, the detection accuracy of our newly proposed scheme is compared with that of the previous scheme. According to the experiment results, the proposed scheme could detect kidnapping situations more 4.73% correctly than the previous scheme.