• 제목/요약/키워드: Extended Self

검색결과 477건 처리시간 0.023초

전역 초음파 센서 시스템을 이용한 이동 로봇의 자기 위치 추정 (Self-localization of a Mobile Robot Using Global Ultrasonic Sensor System)

  • 이수영;진재호
    • 제어로봇시스템학회논문지
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    • 제9권2호
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    • pp.145-151
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    • 2003
  • A global ultrasonic sensor system for self-localization of a mobile robot is proposed in this paper. The global ultrasonic sensor system consists of three or more ultrasonic transmitters fixed at some positions in the world coordinate and receivers in the moving coordinate of a mobile robot. In this global sensor system it is easy to get state vector of the mobile robot in the world coordinate from the distance information between each ultrasonic transmitter and receiver. An extended kalman filter algorithm is used to process the noisy ultrasonic signal and to estimate the state vector. In case of using several independent ultrasonic transmitters, it is necessary to avoid the cross talk among the ultrasonic waves and to synchronize between each ultrasonic transmitter and receiver. The small sized radio frequency modules are adopted to solve the cross talk and the synchronization problem Computer simulation and experiments are carried out to verify the effectiveness of the proposed ultrasonic sensor system.

A New Learning Algorithm for Neuro-Fuzzy Modeling Using Self-Constructed Clustering

  • Kim, Sung-Suk;Kwak, Keun-Chang;Kim, Sung-Soo;Ryu, Jeong-Woong
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2005년도 ICCAS
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    • pp.1254-1259
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    • 2005
  • In this paper, we proposed a learning algorithm for the neuro-fuzzy modeling using a learning rule to adapt clustering. The proposed algorithm includes the data partition, assigning the rule into the process of partition, and optimizing the parameters using predetermined threshold value in self-constructing algorithm. In order to improve the clustering, the learning method of neuro-fuzzy model is extended and the learning scheme has been modified such that the learning of overall model is extended based on the error-derivative learning. The effect of the proposed method is presented using simulation compare with previous ones.

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전역 초음파 시스템을 이용한 이동 로봇의 자율 주행 (Autonomous Navigation of Mobile Robot Using Global Ultrasonic System)

  • 황병훈;이수영
    • 제어로봇시스템학회논문지
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    • 제10권6호
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    • pp.529-536
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    • 2004
  • Autonomous navigation of an indoor mobile robot using the global ultrasonic system is presented in this paper. Since the trajectory error of the dead-reckoning navigation grows with time and distance, the autonomous navigation of a mobile robot requires to localize the current position of the robot, so that to compensate the trajectory error. The global ultrasonic system consisting of four ultrasonic generators fixed at a priori known positions in the work space and two receivers on the mobile robot has the similar structure with the well-known satellite GPS(Global Positioning System), and it is useful for the self-localization of an indoor mobile robot. The EKF(Extended Kalman Filter) algorithm for the self-localization is proposed and the autonomous navigation based on the self-localization is verified by experiments.

A New Learning Algorithm of Neuro-Fuzzy Modeling Using Self-Constructed Clustering

  • Ryu, Jeong-Woong;Song, Chang-Kyu;Kim, Sung-Suk;Kim, Sung-Soo
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • 제5권2호
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    • pp.95-101
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    • 2005
  • In this paper, we proposed a learning algorithm for the neuro-fuzzy modeling using a learning rule to adapt clustering. The proposed algorithm includes the data partition, assigning the rule into the process of partition, and optimizing the parameters using predetermined threshold value in self-constructing algorithm. In order to improve the clustering, the learning method of neuro-fuzzy model is extended and the learning scheme has been modified such that the learning of overall model is extended based on the error-derivative learning. The effect of the proposed method is presented using simulation compare with previous ones.

청소년의 사회측정적 인기도에 영향을 미치는 생태학적 변인 (The Ecological Variables on Adolescent's Popularity)

  • 도금혜
    • 가정과삶의질연구
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    • 제25권4호
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    • pp.43-55
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    • 2007
  • The Purpose of this study was to investigate the ecological variables on adolescent's sociometric popularity. Independent variables were organism(sex, age, aggression, self-esteem, impulsiveness, prosocial behavior, dominance), microsystem(parenting style, family support, friends relationship, teacher support), mesosystem(family-peer relationship, family-school relationship), and exosystem(positive community environment, social support of extended family, school's policy). The subjects were 835 - 1st and 2nd graders of two middle and two high schools in Daegu. Adolescent's sociometric popularity and ecological variables were measured with questionnaire. Adolescent's sociometric popularity was measured with sociometric popularity questionnaire. Organism variables were measured with sex, age, aggression, self-esteem, impulsiveness, prosocial behavior and dominance questionnaire. Microsystem variables were measured with parenting style, family support, friends relationship and teacher support questionnaire. Mesosystem variables were measured with family-peer relationship and family-school relationship questionnaire. Exosystem variables were measured with positive community environment, social support of extended family and school's policy questionnaire. The data analyzed by frequency, percentage, mean, cronbach's $\alpha$, and multiple regression. The major findings were as follows: First, adolescent's sociometric popularity was affected by age, overt aggression, academic self-esteem, social self-esteem, and impulsiveness of organism variables. Second, adolescent's sociometric popularity was affected by mother's affectional parenting, mother's control parenting, and attachment to friends of microsystem variables. Third, adolescent's sociometric popularity was affected by family - peer relationship and family - school relationship of mesosystem variables. Fourth, adolescent's sociometric popularity was affected by appraisal support of extended family, after-school activity, and circle activity of exosystem variables.

Factors Influencing Use of Smartphone Applications for Healthcare Self-Management: An Extended Technology Acceptance Model

  • Jo, Heui-Sug;Jung, Su-Mi
    • 보건교육건강증진학회지
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    • 제31권4호
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    • pp.25-36
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    • 2014
  • Objectives: The self-management of chronic diseases is currently receiving much attention. This study applied an extended technology acceptance model (ETAM) to analyze the factors influencing acceptance of a healthcare smartphone application. Methods: Three hundred people living in Seoul and Gyeonggi who used smartphones were quota sampled. A telephone survey was conducted using a structured questionnaire based on ETAM. A path analysis was carried out using the AMOS 17.0 program, and the model was verified. Results: The analysis revealed significant factors of perceived usefulness (.374, p < .001), enjoyment (.210, p < .001), subjective norms (.168, p < .001), perceived costs (.146, p < .001), and innovativeness (.138, p < .001). Cost directly influenced intention to use health applications; self-efficacy and perceived ease of use indirectly affected intention through innovation and perceived usefulness. Conclusions: This study helped to identify the main factors that influence usage intention of smartphone applications. These findings could contribute to promoting the self-management of chronic disease through future health applications using smartphones.

P.W.R. 원자로의 부하추종제어 (Load Following Control of Pressurized Water Reactor)

  • 이범;박영환
    • 제어로봇시스템학회논문지
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    • 제14권3호
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    • pp.221-225
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    • 2008
  • This paper presents a self-tuning controller for pressurized water reactor (P.W.R.). This self-tuning controller includes two substantial steps, such as parameter identification and control-law building in each cycle. Extended least square algorithm is used for parameter identification, Kalman filter is used for state estimation, and discrete Riccati equation is used for optimal control. Effectiveness of this algorithm is shown through computer simulation and sensitivity analysis.

CMOS 테스트를 위한 Built-In Self-Test 회로설계 (A Built-In Self-Test Method for CMOS Circuits)

  • 김윤홍;임인칠
    • 전자공학회논문지B
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    • 제29B권9호
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    • pp.1-7
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    • 1992
  • This paper proposes a built-in self-test tchnique for CMOS circuits. To detect a stuck-open fault in CMOS circuits, two consequent test patterns is required. The ordered pairs of test patterns for stuck-open faults are generated by feedback shift registers of extended length. A nonlinear feedback shift register is designed by the merging method and reordering algorithms of test patterns proposed in this paper. And a new multifunctional BILBO (Built-In Logic Block Observer) is designed to perform both test pattern generation and signature analysis efficiently.

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XML 데이터 처리에서 시맨틱 (Semantics in XML Data Processing)

  • 진민
    • 한국산학기술학회논문지
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    • 제12권3호
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    • pp.1327-1335
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    • 2011
  • XML은 계층적이고 스스로 기술하는 구조를 가지는 데이터를 표현하기에 좋지만 XML 자체는 시맨틱을 가지고 있지 않다. 하지만 XML이 널리 새로운 응용에서 사용됨에 따라 XML 시맨틱이 필요하게 되었다. 이 논문은 XML 데이터 처리 환경에서 시맨틱을 조사하였다. XML 시맨틱은 사용 용도에 따라 구조적 시맨틱, 관계 시맨틱, 확장 시맨틱과 시맨틱 웹으로 분류할 수 있다. 그리고 질의 처리와 같이 XML 문서 관리에서 활용하기 위해 확장된 관계 시맨틱을 제안한다.