• 제목/요약/키워드: Action representation

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객체지향 프로그램에서 이벤트 추상화 표현 (Abstract Representation of Events on Object-Oriented Programs)

  • 임근;이경환
    • 한국정보처리학회논문지
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    • 제4권5호
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    • pp.1257-1266
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    • 1997
  • 객체지향 언어가 가지고 있는 다양한 개념은 강력한 프로그램 구현을 지원할 수 있다. 그러나 이러한 개념에는 복잡한 이벤트의 관련성에 의해 프로그램의 분석과 이해에 어려움을 가지고 있다. 특히 객체지향 언어의 정적인 면보다는 동적인 측련의 이해를 어렵게 한다. 동적인 면은 클래스간 이벤트 작용을 인식하므로서 이해를 지원한다. 따라서 본 논문에서는 객체지향 프로그램의 이해를 지원할 수 있도록 이벤트 추상화 표현을 제시한다. 또한 클래스터링 개념을 이벤트 추상화에 적용하여, 객체지향 언어의 이해를 용이하게 지원할 수 있도록 이벤트 추상화 표현과 이벤트 추상화에 적용될 클러스터링 개념을 제시한다. 이벤트의 클래스터링에 의해서 사용 자는 클래스의 기능성 정보와 클래스 라이브러리 검색시 선택된 클래스와 이벤트 상호 작용 관계가 있는 다른 클래스를 파악함으로서 클래스 검색의 효율성을 지원한다.

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다중 판별기를 이용한 비디오 행동 인식 (Human Action Recognition in Videos using Multi-classifiers)

  • 김세민;노용만
    • 한국방송∙미디어공학회:학술대회논문집
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    • 한국방송공학회 2013년도 추계학술대회
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    • pp.54-57
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    • 2013
  • 최근 다양한 방송 및 영상 분야에서 사람의 행동을 인식하여는 연구들이 많이 이루어지고 있다. 영상은 다양한 형태를 가질 수 있기 때문에 제약된 환경에서 유용한 템플릿 방법들보다 특징점에 기반한 연구들이 실제 사용자 환경에서 더욱 관심을 받고 있다. 특징점 기반의 연구들은 영상에서 움직임이 발생하는 지점들을 찾아내어 이를 3차원 패치들로 생성한다. 이를 이용하여 영상의 움직임을 히스토그램에 기반한 descriptor(서술자)로 표현하고 학습기반의 판별기(classifier)로 최종적으로 영상 내에 존재하는 행동들을 인식하였다. 그러나 단일 판별기를 이용한 다양한 영상 인식을 수용하기에는 힘들다. 최근에 이를 개선하기 위하여 다중 판별기를 활용한 연구들이 영상 판별 및 물체 검출 영역에서 사용되고 있다. 따라서 본 논문에서는 행동 인식을 위하여 support vector machine과 spare representation을 이용한 decision-level fusion 방법을 제안하고자 한다. 제안된 논문의 방법은 영상에서 특징점 기반의 descriptor를 추출하고 이를 각각의 판별기를 통하여 판별 결과들을 획득한다. 이 후 학습단계에서 획득된 가중치를 활용하여 각 결과들을 융합하여 최종 결과를 도출하였다. 본 논문에 실험에서 제안된 방법은 기존의 융합 방법보다 높은 행동 인식 성능을 보여 주었다.

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웹툰에서의 3D컴퓨터그래픽스 적용에 관한 연구 (A Study on the 3D Computer Graphics Application in Webtoons)

  • 문희정
    • 스마트미디어저널
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    • 제4권3호
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    • pp.31-37
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    • 2015
  • 최근 컴퓨터그래픽스는 실사에 가까운 표현이 가능하게 되었다. 하지만, 2D 컴퓨터그래픽스 고유의 느낌을 선호하는 면도 없진 않다. 2D 컴퓨터그래픽스와 3D 컴퓨터그래픽스의 합성 작업은 이미 오래전부터 제작되어왔다. 하지만, 기술적인 차이로 한계를 넘지 못하거나 실사 2D에 가상의 3D 컴퓨터그래픽스가 도입되거나 2D 컴퓨터그래픽스에 이펙트 등 효과가 3D 컴퓨터그래픽스 작업을 통해 제작되어 왔다. 최근에는 웹툰 등 2D 컴퓨터그래픽스로 작업하면서 시간적으로 좀 더 제약을 많는 콘텐츠 등에 2D 컴퓨터그래픽스로 작업한 느낌을 살리면서 카메라 앵글이나 시공간적인 장면 전환이 용이한 요소를 3D컴퓨터그래픽스로 작업하여 작업의 효율을 높이는 경우가 있다. 실제 작업을 통해 적절한 방향을 제시해보고자 한다.

Effect of Motor Imagery Training on Somatosensory Evoked Potentials and Upper Limb Function in Stroke Patients

  • Choi, Jongbae;Yang, Jongeun
    • 국제물리치료학회지
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    • 제11권1호
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    • pp.2005-2011
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    • 2020
  • Background: Motor imagery is the mental representation of an action without overt movement or muscle activation. However, few previous studies have demonstrated motor imagery training effects as an objective assessment tool in patients with early stroke. Objective: To investigate the effect of motor imagery training on Somatosensory Evoked Potentials (SSEP) and upper limb function of stroke patients. Design: A quasi-experimental study. Methods: Twenty-four patients with stroke were enrolled in this study. All subjects were assigned to the experimental or control group. All participants received traditional occupational therapy for 30 minutes, 5 times a week. The experimental group performed an additional task of motor imagery training (MIT) 20 minutes per day, 5 days a week, for 4 weeks. Both groups were assessed using the SSEP amplitude, Fugl-Meyer assessment of upper extremity (FMA UE) and Wolf motor function test. Results: After the intervention, the experimental group showed significant improvement in SSEP amplitude and FMA UE than did the control group. Conclusion: These findings suggest that the MIT effectively improve the SSEP and upper limb function of stroke patients.

Perception-based analytical technique of evacuation behavior under radiological emergency: An illustration of the Kori area

  • Kim, Jeongsik;Kim, Byoung-Jik;Kim, Namhun
    • Nuclear Engineering and Technology
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    • 제53권3호
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    • pp.825-832
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    • 2021
  • A simulation-based approach is proposed to study the protective actions taken by residents during nuclear emergencies using cognitive findings. Human perception-based behaviors are not heavily incorporated in the evacuation study for nuclear emergencies despite their known importance. This study proposes a generic framework of perception-based behavior simulation, in accordance with the ecological concept of affordance theory and a formal representation of affordance-based finite state automata. Based on the generic framework, a simulation model is developed to allow an evacuee to perceive available actions and execute one of them according to Newton's laws of motion. The case of a shadow evacuation under nuclear emergency is utilized to demonstrate the applicability of the proposed framework. The illustrated planning algorithm enables residents to compute not only prior knowledge of the environmental map, but also the perception of dynamic surroundings, using widely observed heuristics. The simulation results show that the temporal and spatial dynamics of the evacuation behaviors can be analyzed based on individual perception of circumstances, while utilizing the findings in cognitive science under unavoidable data restriction of nuclear emergencies. The perception-based analysis of the proposed framework is expected to enhance nuclear safety technology by complementing macroscopic analyses for advanced protective measures.

Neuroscience and the Social Powers of Narrative: How Stories Configure Our Brains

  • Armstrong, Paul B.
    • 영어영문학
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    • 제64권1호
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    • pp.3-24
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    • 2018
  • Stories are important instruments for configuring our cognitive and social worlds, but they do not necessarily make us more caring or less aggressive and self-involved. The ability to tell and follow a story requires cognitive capacities that are basic to the neurobiology of mental functioning, and so it would stand to reason that our experiences with stories would draw on and re-shape patterns of interaction that extend beyond the immediate experience of reading or listening to a narrative. Our intuitive, bodily-based ability to understand the actions of other people is fundamental to social relations, including the circuit between the representation of a configured action emplotted in a narrative and the reader's or listener's activity of following the story as we assimilate its patterns into the figures that shape our worlds. The activity of following a narrative can have a variety of beneficial or potentially noxious social consequences, either promoting the shared intentionality that neurobiologically oriented cultural anthropologists identify as a unique human capacity supporting culturally productive collaboration, or habitualizing and thereby naturalizing particular patterns of perception into rigid ideological constructs. The doubling of "me" and "not-me" in narrative acts of identification may promote the "we-intentionality" that makes socially beneficial cooperation possible, or it can set off mimetic conflict and various contagion effects. Neuroscience cannot predict what the social consequences of narrative will be, but it can identify the brain- and body-based processes through which (for better or worse) stories exercise social power.

고문헌 속 언어를 통한 한국의 고전화장 시각화 방안 연구 (A Study on the Visualization of Classic Makeup in Korea through the Language in Old Documents)

  • 방기정
    • 패션비즈니스
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    • 제25권1호
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    • pp.96-107
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    • 2021
  • The purpose of this study was to determine how to visualize classic makeup through Korean visual language in old literature. It provides consumers with creativity to understand and communicate and proposes a new conceptual visualization model. The research method was carried out by drawing from old literature studies, previous reproduction records, examples, and international standard diagram text language expression. First, the visualization work expressed in visual language in old literature was an objective and efficient method of information delivery as a characteristic of information design. Second, visual language expressed in old documents could be divided into makeup materials and actions. Also, the diagrams were appropriate for visualizing materials and materials for storytelling. Third, in the visualization of Korean classic makeup in old literature, images were more appropriate than diagrams in the case of action. The researcher proposed a method of visualizing historical knowledge that went one step beyond the existing simple event timing method. Timeline, correlation diagram, image, and text were combined in various ways to find the most effective historical knowledge visualization method. The representation of Korean classic makeup goes beyond the meaning of language or text and is the cultural content of re-creation, which requires systematic globalization.

Representation of Event-Based Ontology Models: A Comparative Study

  • Ali, Ashour;Noah, Shahrul Azman Mohd;Zakaria, Lailatul Qadri
    • International Journal of Computer Science & Network Security
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    • 제22권7호
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    • pp.147-156
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    • 2022
  • Ontologies are knowledge containers in which information about a specified domain can be shared and reused. An event happens within a specific time and place and in which some actors engage and show specific action features. The fact is that several ontology models are based on events called Event-Based Models, where the event is an individual entity or concept connected with other entities to describe the underlying ontology because the event can be composed of spatiotemporal extents. However, current event-based ontologies are inadequate to bridge the gap between spatiotemporal extents and participants to describe a specific domain event. This paper reviews, describes and compares the existing event-based ontologies. The paper compares various ways of representing the events and how they have been modelled, constructed, and integrated with the ontologies. The primary criterion for comparison is based on the events' ability to represent spatial and temporal extent and the participants in the event.

3D WALK-THROUGH ENVIRONMENTAL MODEL FOR VISUALIZATION OF INTERIOR CONSTRUCTION PROGRESS MONITORING

  • Seungjun Roh;Feniosky Pena-Mora
    • 국제학술발표논문집
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    • The 3th International Conference on Construction Engineering and Project Management
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    • pp.920-927
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    • 2009
  • Many schedule delays and cost overruns in interior construction are caused by a lack of understanding in detailed and complicated interior works. To minimize these potential impacts in interior construction, a systematic approach for project managers to detect discrepancies at early stages and take corrective action through use of visualized data is required. This systematic implementation is still challenging: monitoring is time-consuming due to the significant amount of as-built data that needs to be collected and evaluated; and current interior construction progress reports have visual limitations in providing spatial context and in representing the complexities of interior components. To overcome these issues, this research focuses on visualization and computer vision techniques representing interior construction progress with photographs. The as-planned 3D models and as-built photographs are visualized in a 3D walk-through model. Within such an environment, the as-built interior construction elements are detected through computer vision techniques to automatically extract the progress data linked with Building Information Modeling (BIM). This allows a comparison between the as-planned model and as-built elements to be used for the representation of interior construction progress by superimposing over a 3D environment. This paper presents the process of representing and detecting interior construction components and the results for an ongoing construction project. This paper discusses implementation and future potential enhancement of these techniques in construction.

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Particle filter approach for extracting the non-linear aerodynamic damping of a cable-stayed bridge subjected to crosswind action

  • Aljaboobi Mohammed;Shi-Xiong Zheng;Al-Sebaeai Maged
    • Wind and Structures
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    • 제38권2호
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    • pp.119-128
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    • 2024
  • The aerodynamic damping is an essential factor that can considerably affect the dynamic response of the cable-stayed bridge induced by crosswind load. However, developing an accurate and efficient aerodynamic damping model is crucial for evaluating the crosswind load-induced response on cable-stayed bridges. Therefore, this study proposes a new method for identifying aerodynamic damping of the bridge structures under crosswind load using an extended Kalman filter (EKF) and the particle filter (PF) algorithm. The EKF algorithm is introduced to capture the aerodynamic damping ratio. PF technique is used to select the optimal spectral representation of the noise. The effectiveness and accuracy of the proposed solution were investigated through full-scale vibration measurement data of the crosswind-induced on the bridge's girder. The results show that the proposed solution can generate an efficient and robust estimation. The errors between the target and extracted values are around 0.01mm and 0.003^o, respectively, for the vertical and torsional motion. The relationship between the amplitude and the aerodynamic damping ratio is linear for small reduced wind velocity and nonlinear with the increasing value of the reduced wind velocity. Finally, the results show the influence of the level of noise.