• 제목/요약/키워드: Task adaptation

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인물 얼굴의 나이 판단과 아기도식 속성에 대한 순응의 잔여효과 (Adaptation to Baby Schema Features and the Perception of Facial Age)

  • 이예진;김성호
    • 감성과학
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    • 제25권4호
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    • pp.157-172
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    • 2022
  • 본 연구는 순응 잔여효과 패러다임을 이용하여, 아기도식 속성을 담고 있는 여러 시각 자극들(얼굴, 신체실루엣, 손)이 공통의 처리 기제를 통해 나이 지각에 영향을 주는지 확인하고자 하였다. 실험 1에서는 아기 얼굴 혹은 성인 얼굴에 순응시킨 후 아기와 성인 얼굴을 합성(morphing)한 얼굴 자극에 대해 "아기"로 지각되는지 혹은 "성인"으로 지각되는지 판단하도록 하였다. 실험 결과, 아기 순응 조건보다 성인 순응 조건에서 합성 자극을 아기로 지각하는 비율이 더 우세한, 얼굴 나이 순응 잔여효과(age adaptation aftereffect)를 확인하였다. 실험 2와 3에서는 각각 아기와 성인의 신체 실루엣과 손 이미지를 순응자극으로 사용하여 실험 1과 동일한 나이 판단 과제를 실시하였다. 실험 결과, 신체 실루엣과 손에 대한 순응은 순응자극과 같은 방향의 잔여효과(assimilative aftereffect)를 유발하거나, 순응 후에 제시되는 얼굴에 대한 나이 지각을 편향시키지 않았다. 본 연구는 성인 연령대의 얼굴 자극만을 사용한 선행 연구와 달리, 아기-성인 간 얼굴 나이 순응 잔여효과를 통해 아기와 성인 얼굴의 나이 속성이 지각적 얼굴 공간 상에서 대조적인 방향으로 부호화된다는 것을 확인하였으나, 여러 아기도식 속성들이 공통된 처리를 통해 나이 표상에 기여한다는 증거를 확인하지는 못하였다.

Intelligent Hybrid Modular Architecture for Multi Agent System

  • Lee, Dong-Hun;Baek, Seung-Min;Kuc, Tae-Yong;Chung, Chae-Wook
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2004년도 ICCAS
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    • pp.896-902
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    • 2004
  • The purpose of the study of multi-robot system is to realize multi-robot system easy for the control of robot system in case robot is adapted in the complicated environment of task structure. The purpose of the study of multi-robot system is to realize multi-robot system easy for the control of robot system in case robot is adapted in the complicated environment of task structure. To make real time control possible by making effective use of recognized information in this dynamic environment, suitable distribution of tasks should be made in consideration of function and role of each performing robots. In this paper, IHMA (Intelligent Hybrid Modular Architecture) of Intelligent combined control architecture which utilizes the merits of deliberative and reactive controllers will be suggested and its efficiency will be evaluated through the adaptation of control architecture to representative multi-robot system.

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신기술 사용 과정에 관한 비교 사례 연구: 기술 전유 과정의 근거이론적 접근 (A Comparative Case Study on the Adaptation Process of Advanced Information Technology: A Grounded Theory Approach for the Appropriation Process)

  • 최희재;이준기
    • Asia pacific journal of information systems
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    • 제19권3호
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    • pp.99-124
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    • 2009
  • Many firms in Korea have adopted and used advanced information technology in an effort to boost efficiency. The process of adapting to the new technology, at the same time, can vary from one firm to another. As such, this research focuses on several relevant factors, especially the roles of social interaction as a key variable that influences the technology adaptation process and the outcomes. Thus far, how a firm goes through the adaptation process to the new technology has not been yet fully explored. Previous studies on changes undergone by a firm or an organization due to information technology have been pursued from various theoretical points of views, evolved from technological and institutional views to an integrated social technology views. The technology adaptation process has been understood to be something that evolves over time and has been regarded as cycles between misalignments and alignments, gradually approaching the stable aligned state. The adaptation process of the new technology was defined as "appropriation" process according to Poole and DeSanctis (1994). They suggested that this process is not automatically determined by the technology design itself. Rather, people actively select how technology structures should be used; accordingly, adoption practices vary. But concepts of the appropriation process in these studies are not accurate while suggested propositions are not clear enough to apply in practice. Furthermore, these studies do not substantially suggest which factors are changed during the appropriation process and what should be done to bring about effective outcomes. Therefore, research objectives of this study lie in finding causes for the difference in ways in which advanced information technology has been used and adopted among organizations. The study also aims to explore how a firm's interaction with social as well as technological factors affects differently in resulting organizational changes. Detail objectives of this study are as follows. First, this paper primarily focuses on the appropriation process of advanced information technology in the long run, and we look into reasons for the diverse types of the usage. Second, this study is to categorize each phases in the appropriation process and make clear what changes occur and how they are evolved during each phase. Third, this study is to suggest the guidelines to determine which strategies are needed in an individual, group and organizational level. For this, a substantially grounded theory that can be applied to organizational practice has been developed from a longitudinal comparative case study. For these objectives, the technology appropriation process was explored based on Structuration Theory by Giddens (1984), Orlikoski and Robey (1991) and Adaptive Structuration Theory by Poole and DeSanctis (1994), which are examples of social technology views on organizational change by technology. Data have been obtained from interviews, observations of medical treatment task, and questionnaires administered to group members who use the technology. Data coding was executed in three steps following the grounded theory approach. First of all, concepts and categories were developed from interviews and observation data in open coding. Next, in axial coding, we related categories to subcategorize along the lines of their properties and dimensions through the paradigm model. Finally, the grounded theory about the appropriation process was developed through the conditional/consequential matrix in selective coding. In this study eight hypotheses about the adaptation process have been clearly articulated. Also, we found that the appropriation process involves through three phases, namely, "direct appropriation," "cooperate with related structures," and "interpret and make judgments." The higher phases of appropriation move, the more users represent various types of instrumental use and attitude. Moreover, the previous structures like "knowledge and experience," "belief that other members know and accept the use of technology," "horizontal communication," and "embodiment of opinion collection process" are evolved to higher degrees in their dimensions of property. Furthermore, users continuously create new spirits and structures, while removing some of the previous ones at the same time. Thus, from longitudinal view, faithful and unfaithful appropriation methods appear recursively, but gradually faithful appropriation takes over the other. In other words, the concept of spirits and structures has been changed in the adaptation process over time for the purpose of alignment between the task and other structures. These findings call for a revised or extended model of structural adaptation in IS (Information Systems) literature now that the vague adaptation process in previous studies has been clarified through the in-depth qualitative study, identifying each phrase with accuracy. In addition, based on these results some guidelines can be set up to help determine which strategies are needed in an individual, group, and organizational level for the purpose of effective technology appropriation. In practice, managers can focus on the changes of spirits and elevation of the structural dimension to achieve effective technology use.

MRAC방식에 의한 산업용 로보트 매니퓰레이터의 실시간 제어를 위한 견실한 제어기 설계

  • 한성현;이만형
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1989년도 한국자동제어학술회의논문집; Seoul, Korea; 27-28 Oct. 1989
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    • pp.160-165
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    • 1989
  • This paper deals with the robust controller design of robotic manipulator to track a desired trajectory in spite of the presence of unmodelled dynamics in cause of nonlinearity and parameter uncertainty. The approach followed in this paper is based on model reference adaptive control technique and convergence on hyperstability theory but it does away with assumption that process is characterized by a linear model remaining time invariant during adaptation process. A computer simulation has been performed to demonstrate the performance of the designed control system in task coordinates for stanford manipulator with payload and disturbances.

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기초 및 광역지자체 기후변화 취약성 평가를 위한 웹기반 지원 도구(VESTAP) 개발 (Development of Web-Based Supporting Tool (VESTAP) for Climate Change Vulnerability Assesment in Lower and Municipal-Level Local Governments)

  • 오관영;이명진;한도은
    • 한국지리정보학회지
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    • 제19권1호
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    • pp.1-11
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    • 2016
  • 기후변화는 환경 분야에서 가장 주목받는 화두이며, 인류에게 직면한 가장 도적적인 과제이다. 이러한 문제를 해결하는 방법은 다양하지만, 우리나라의 경우 국가 차원의 1~2차 국가기후변화 적응대책을 수립하고, 각 광역 및 기초 지자체의 기후변화 적응 시행대책 수립을 의무화하고 있다. 기후변화 취약성 평가는 기후변화 적응 시행대책을 수립함에 있어 필수적인 역할을 담당한다. 그러나 취약성 평가는 다양한 영향인자의 복합적 연산을 통해 도출됨으로 개별적인 평가를 수행하기에는 어려움이 있다. 이에 본 연구에서는 기초 및 광역 지자체 차원에서 활용 가능한 웹기반 기후변화 취약성 평가 지원도구(VESTAP)를 개발하였다. VESTAP은 크게 지표 DB와 취약성 평가 및 표출 도구로 구성되어 있다. 지표 DB는 RCP(Representative Concentration Pathways) 4.5와 8.5로 모의된 총 455개의 미래 기후자료, 대기 환경자료, 기타 인문사회통계 자료와 그에 따른 메타데이터 정보를 포함한다. 표출 도구는 각 취약성 평가의 결과에 대한 공간분포, 편향성, 도표화 등 다양한 분석 기능을 제공함으로써 편의성을 극대화 하였다. VESTAP를 활용하여 세종특별자치시에 대한 미세먼지에 의한 건강 취약성 평가를 시범적으로 수행하였으며, 부강면이 상대적으로 취약성이 가장 높은 수치를 나타냈다. 개발된 도구를 활용하여 각 지자체는 보다 쉽고, 편리하게, 그리고 과학적 증거에 기반한 기후변화 적응 시행대책을 수립할 수 있을 것으로 기대한다.

Combining Multi-Criteria Analysis with CBR for Medical Decision Support

  • Abdelhak, Mansoul;Baghdad, Atmani
    • Journal of Information Processing Systems
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    • 제13권6호
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    • pp.1496-1515
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    • 2017
  • One of the most visible developments in Decision Support Systems (DSS) was the emergence of rule-based expert systems. Hence, despite their success in many sectors, developers of Medical Rule-Based Systems have met several critical problems. Firstly, the rules are related to a clearly stated subject. Secondly, a rule-based system can only learn by updating of its rule-base, since it requires explicit knowledge of the used domain. Solutions to these problems have been sought through improved techniques and tools, improved development paradigms, knowledge modeling languages and ontology, as well as advanced reasoning techniques such as case-based reasoning (CBR) which is well suited to provide decision support in the healthcare setting. However, using CBR reveals some drawbacks, mainly in its interrelated tasks: the retrieval and the adaptation. For the retrieval task, a major drawback raises when several similar cases are found and consequently several solutions. Hence, a choice for the best solution must be done. To overcome these limitations, numerous useful works related to the retrieval task were conducted with simple and convenient procedures or by combining CBR with other techniques. Through this paper, we provide a combining approach using the multi-criteria analysis (MCA) to help, the traditional retrieval task of CBR, in choosing the best solution. Afterwards, we integrate this approach in a decision model to support medical decision. We present, also, some preliminary results and suggestions to extend our approach.

Multi-channel Long Short-Term Memory with Domain Knowledge for Context Awareness and User Intention

  • Cho, Dan-Bi;Lee, Hyun-Young;Kang, Seung-Shik
    • Journal of Information Processing Systems
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    • 제17권5호
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    • pp.867-878
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    • 2021
  • In context awareness and user intention tasks, dataset construction is expensive because specific domain data are required. Although pretraining with a large corpus can effectively resolve the issue of lack of data, it ignores domain knowledge. Herein, we concentrate on data domain knowledge while addressing data scarcity and accordingly propose a multi-channel long short-term memory (LSTM). Because multi-channel LSTM integrates pretrained vectors such as task and general knowledge, it effectively prevents catastrophic forgetting between vectors of task and general knowledge to represent the context as a set of features. To evaluate the proposed model with reference to the baseline model, which is a single-channel LSTM, we performed two tasks: voice phishing with context awareness and movie review sentiment classification. The results verified that multi-channel LSTM outperforms single-channel LSTM in both tasks. We further experimented on different multi-channel LSTMs depending on the domain and data size of general knowledge in the model and confirmed that the effect of multi-channel LSTM integrating the two types of knowledge from downstream task data and raw data to overcome the lack of data.

모바일폰 문자 메시지가 동적·정적 보행자 충돌회피전략에 미치는 영향 (Effects of Mobile Phone Text Messaging on Collision Avoidance Strategy with Approaching and Stationary Pedestrian)

  • Lee, Yeon-Jong;Kim, Joo-Nyeon
    • 한국운동역학회지
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    • 제31권1호
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    • pp.37-43
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    • 2021
  • Objective: The purpose of this study was to investigate the effect of mobile phone text messaging on the collision avoidance strategy for an approaching and stationary pedestrian. Method: Eighteen healthy young adults participated in this study. Each participant was asked to perform a task to walking with/without mobile phone text messaging and a task to avoid collisions with another pedestrian who was approaching or stationary during walking. Results: When text messaging with avoidance collision, it showed an early onset time, a larger mediolateral COM trajectory, trunk rotation angle and trunk rotation velocity (p<.05). Also, compared to an approaching pedestrian, when avoiding collision with a stationary pedestrian, it showed a later onset time, a lager avoidance displacement, mediolateral COM trajectory, trunk rotation angle (p<.05). Conclusion: Results suggest that mobile phone text messaging while collision avoidance leads to delay the perception stage and alters the adaptation stage. Consequently, pedestrian executed in an exaggerated avoidance action to create a greater safety margin when attending to mobile phone test messages while avoiding another pedestrian.

다층 퍼셉트론에서의 빠른 화자 적응을 위한 선택적 주의 학습 (Selective Attentive Learning for Fast Speaker Adaptation in Multilayer Perceptron)

  • 김인철;진성일
    • 한국음향학회지
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    • 제20권4호
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    • pp.48-53
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    • 2001
  • 본 논문에서는 에러 역전파 알고리듬에 기반한 다층 퍼셉트론의 학습 속도를 개선하기 위해 선택적 주의 학습방식을 제안한다. 제안된 방식은 학습 과정에서 세 가지 선택적 주의 기준을 적용하여 학습 데이터베이스 내의 일부 데이터만을 입력 패턴으로 사용하거나 주어진 입력 패턴에 대해 신경회로망내의 특정 영역만 선택적으로 학습이 이루어지도록 한다. 이러한 선택적 주의 기준은 다층 퍼셉트론의 출력층에서 계산된 평균 자승 에러와 은닉층의 각 노드에서 획득된 클래스 의존적인 적합도(relevance)를 이용하여 설정된다. 학습 속도의 개선은 학습 반복 횟수 당 계산량을 줄임으로써 이루어진다. 본 논문에서는 고립 단어 인식시스템에서의 화자 적응 문제에 대해 제안한 선택적 주의 학습방법을 적용하여 그 유효성을 알아보았다. 실험 결과로부터 제안한 선택적 주의 기법이 학습 속도를 평균 60%이상 개선시킬 수 있음을 확인하였다

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연속적인 미디어를 위한 네트워크 적응형 전송 및 네트워킹 지원 설계 이슈들 (Design Issues in Network Adaptive Delivery and its Networking Support for Continuous Media)

  • Kim, Jong-Won
    • 한국통신학회논문지
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    • 제28권10B호
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    • pp.899-915
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    • 2003
  • 다양한 미디어 콘텐츠를 최선형 서비스에 머무르고 있는 유무선 인터넷의 네트워크 상태에 무관하게 전달하기 위해서는 네트워크 가장자리에서 동작하는 미디어 응용프로그램들이 보다 적응화되어야 한다. 즉 응용프로그램에서 전달하고자 하는 미디어 콘텐츠가 요구하는 네트워크 품질에 대한 요구와 기반 네트워크 서비스론 적응적으로 연결하는 것이 매우 중요하다. 본 논문에서는 먼저 응용프로그램에게 요구되는 혼잡제어 및 전송율 제어, 오류 제어, 그리고 동기화 및 적응형 재생 등과 같은 네트워크 적응화 기능들에 대해 의논한다. 이어서 네트워크 적응적 미디어 스트리밍을 실현하는 기반이 되는 요소들을 물리적인 네트워크, 프로토콜 지원에서 미들웨어에 걸치는 총체적인 지원의 구도하에서 설명한다. 최종적으로는 상기한 미디어 응용프로그램과 네트워크 지원 기반을 동시에 이해하면서 실현되는 동적인 네트워크 적응화의 구조를 제안한다.