• Title/Summary/Keyword: Using Behavior

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Dynamic behavior control of a collective autonomous mobile robots using artificial immune networks (인공면역네트워크에 의한 자율이동로봇군의 동적 행동 제어)

  • 이동욱;심귀보
    • 제어로봇시스템학회:학술대회논문집
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    • 1997.10a
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    • pp.124-127
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    • 1997
  • In this paper, we propose a method of cooperative control based on immune system in distributed autonomous robotic system(DARS). Immune system is living body's self-protection and self-maintenance system. Thus these features can be applied to decision making of optimal swarm behavior in dynamically changing environment. For the purpose of applying immune system to DARS, a robot is regarded as a B lymphocyte(B cell), each environmental condition as an antigen, and a behavior strategy as an antibody respectively. The executing process of proposed method is as follows. When the environmental condition changes, a robot selects an appropriate behavior strategy. And its behavior strategy is simulated and suppressed by other robot using communication. Finally much simulated strategy is adopted as a swarm behavior strategy. This control scheme is based on clonal selection and idiotopic network hypothesis. And it is used for decision making of optimal swarm strategy.

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An Empirical Analysis of the Behavior of Weaving Traffic in a Freeway Weaving Section (고속도로 위빙(Weaving) 구간의 교통행태에 대한 경험적 분석)

  • 유경수
    • Journal of Korean Society of Transportation
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    • v.6 no.1
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    • pp.17-31
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    • 1988
  • In this research, the behavior of weaving traffic is studied in terms of lane-changing behavior and gap acceptance characteristics. General trends in lane-changing behavior and gap acceptance characteristics are investigated by analyzing descriptive statistics and the factors affecting weaving behavior are determined by means of the multiple linear regression analysis. The results of analysis show that the behavior of weaving traffic is generally similar to that in a basic freeway section and an on- or of- ramp section. Traffic density and speed appear to be better parameters than traffic volume for explaining the behavior of weaving traffic. For the same purpose, using the traffic conditions of the origin and the destination lanes are found to be more effective than using the average traffic conditions of the freeway. A detailed analysis of the gap acceptance characteristics of late merging vehicles shows that there is no significant difference between the size of gaps accepted by late merging vehicles and that accepted by early merging vehicles.

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Behavior-classification of Human Using Fuzzy-classifier (퍼지분류기를 이용한 인간의 행동분류)

  • Kim, Jin-Kyu;Joo, Young-Hoon
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.59 no.12
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    • pp.2314-2318
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    • 2010
  • For human-robot interaction, a robot should recognize the meaning of human behavior. In the case of static behavior such as face expression and sign language, the information contained in a single image is sufficient to deliver the meaning to the robot. In the case of dynamic behavior such as gestures, however, the information of sequential images is required. This paper proposes behavior classification by using fuzzy classifier to deliver the meaning of dynamic behavior to the robot. The proposed method extracts feature points from input images by a skeleton model, generates a vector space from a differential image of the extracted feature points, and uses this information as the learning data for fuzzy classifier. Finally, we show the effectiveness and the feasibility of the proposed method through experiments.

Target Detection and Navigation System for a mobile Robot

  • Kim, Il-Wan;Kwon, Ho-Sang;Kim, Young-Joong;Lim, Myo-Taeg
    • 제어로봇시스템학회:학술대회논문집
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    • 2005.06a
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    • pp.2337-2341
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    • 2005
  • This paper presents the target detection method using Support Vector Machines(SVMs) and the navigation system using behavior-based fuzzy controller. SVM is a machine-learning method based on the principle of structural risk minimization, which performs well when applied to data outside the training set. We formulate detection of target objects as a supervised-learning problem and apply SVM to detect at each location in the image whether a target object is present or not. The behavior-based fuzzy controller is implemented as an individual priority behavior: the highest level behavior is target-seeking, the middle level behavior is obstacle-avoidance, the lowest level is an emergency behavior. We have implemented and tested the proposed method in our mobile robot "Pioneer2-AT". Comparing with a neural-network based detection method, a SVM illustrate the excellence of the proposed method.

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A Study on Failure Behavior of Structures by Modified Distinct Element Method (수정개별요소법을 이용한 구조물의 파괴거동에 관한 연구)

  • 김문겸;오금호;김상훈;김우진
    • Proceedings of the Computational Structural Engineering Institute Conference
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    • 1996.10a
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    • pp.210-217
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    • 1996
  • Under strong shock loads including earthquake or blast, structures may start to crack in stress concentrated members. The continuous behavior of the structure changes to the discontinuous. In this study, numerical method analyzing continuous and discontinuous behavior of a structure is developed using a modified distinct element method. Equations of motion of each distinct element are integrated using the central difference method, one of the finite difference methods. Interactions between he elements are considered by an element and pore spring. The forces acting in the center of an element include contact stress transferred by element spring; tensile stress by pore spring; and external traction such as earthquake or blast load. To verify the proposed method, the behavior of the cantilever beam subject to the quasi-static concentrated force at the end is investigated. The failure behavior of the simply supported beam subject to the strong shock at the center is studied. The proposed method can predict the failure behavior of the structure due to the shock loading and the post-failure discontinuous behavior of the structure.

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An Analysis of Nurses' Behavior for Politeness in Cancer Patient-Centered Conversation (암 환자 중심의 대화를 위한 간호사의 공손 언어행위 분석)

  • Lee, Hwa-Jin
    • Korean Journal of Adult Nursing
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    • v.20 no.5
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    • pp.743-755
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    • 2008
  • Purpose: The purpose of this study was to describe and to analyze real conversation about polite behavior of nurses in cancer units. Methods: This study was conducted using a Brown & Levinson(1987) theory to analyze the polite behavior of nurses in cancer units. Five nurses who participated in this research gave permission to be videotaped. The data was collected from January to February, 2006. Results: Polite behavior of nurses in cancer units consisted of greetings, emotional support, open questions and indirect direction. And impolite behavior of nurses in cancer units was using the medical terminology, repetition of direct speech acts and task-oriented conversation. Conclusion: This study suggests polite behavior strategies for effective nursing conversation with cancer patients. Therefore, the findings may provide basic raw materials for educational programmes and intervention studies.

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A Study on Health-Promoting Behavior of Mid-Life Women (중년기 여성의 건강증진행위에 관한 연구)

  • Lee Kyung-Hee;Kim Tae-Ju
    • Journal of Korean Academy of Fundamentals of Nursing
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    • v.6 no.2
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    • pp.310-319
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    • 1999
  • This study was undertaken to identify the health-promoting behavior and to explore the relationship between health-promoting behavior, self-efficacy, self-esteem and climacteric symptoms among the middle-aged women. The subjects for this study were 101 women and data were obtained using a self-reported questionnaires. The Questionnaire was composed of a health promotion life styles profile, self-efficacy scale, self-esteem scale, and, climacteric symtoms check-list. Data was analyzed by the SAS program using ANOVA, Pearson correlation and stepwise multiple reggression. The results are summarized as follows : 1. The scores on the health-promoting behavior scale ranged from 46 to 114 with a mean score of 77.95(SD=12.99). 2. The scores on the health-promoting behavior of housewives was significantly higher than working women. 3. Stepwise multiple regression analysis showed that : 1) self-esteem was the main predictor and accounted for 21.75% of the total variance in health-promoting behavior 2) Self-esteem, climacteric symptoms and health-promoting behavior were contributors to quality of life. 4. In the relationship between variables, self-esteem was positively corelated with health-promoting behavior and negatively with climacteric symptoms. In conclusion, self-esteem, age and occupation were important variables in health-promoting behavior. The results of this study can be used for the management of health in middle aged women to Increase their quality of life of them.

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An Analysis on Attitudes of University Students in the Prediction of Smoking Behavior (흡연행위 예측을 위한 대학생의 태도 분석)

  • Jung Hyang Mi
    • Child Health Nursing Research
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    • v.4 no.1
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    • pp.128-149
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    • 1998
  • Cigarette smoking has been identified as the single most important source of preventable morbidity and mortality. Smoking behavior varies each individual, so individuality & subjectivity of smoking behavior must be specially focused upon to understand smoking behavior. The purpose of this study was to find attitudes of university students in the prediction of smoking behavior. Q-Methodological method was used as a research design and data were collected during the period from Jan.1, 1997 to Feb. 28, 1998. As the research method, Q-statements were collected through in- depth interviews and a literature review. For the study 33 Q-statements were selected. There were 45 university students as subjects for the research. The 45 university students sorted the 33 statements using the principle of Forced Normal Distribution. The principle of Forced Normal Distribution, which has nine scales to measure the individual opinions, Pc Quanl program was used for analysis and Q-factors were analyzed by using principal component analysis. According to the results of this study, there were four categories of opinion about the smoking behavior in university students. The first type is seeking the habitual dependency. The second type is seeking the stress relief : The third type is seeking the active disapproval : The fourth type is seeking the self control. As a result, The meaning of the smoking behavior is affected by perceived subjective experience, so we need to understand each persons meaning of the smoking behavior and to develop appropriate nursing interventions based on the typology of smoking behavior. Finally, The result of the study will provide basic data for smoking prevention and cessation program.

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Factors Affecting Children's Preventive Behaviors for Novel Influenza A(H1N1) (초등학교 고학년 학생의 신종인플루엔자 예방행동에 미치는 영향요인)

  • Park, Sin-Young;Kim, Myung
    • Korean Journal of Health Education and Promotion
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    • v.27 no.1
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    • pp.9-19
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    • 2010
  • Objectives: This study is to identify the factors which affect children's preventive behavior for novel influenza A(H1N1) and to provide basic data to health education for children. Methods: The subject of this study were 551 children who were attending on the 4~6th grade in elementary school in Seoul. The data were collected using a self-reporting questionnaire for 5 days from October 12 through 16, 2009. Data were all digitized and analyzed using SPSS 17.0K. Results: As for relationship between preventive behavior and the other variables, correlations were observed with sensibility, self efficacy, respond efficacy and behavior intention, and it was statistically significant(p<.001). According to the result of analyzing factors affecting preventive behavior for Novel Influenza A(H1N1), it was affected by variables such as perceived threat, perceived efficacy, behavior intention. Behavior intention was the most influencing variable and has shown influence in order of self efficacy, sensibility, severity and respond efficacy as follows. Conclusion: The results showed effects on preventive behavior of perceived threat, perceived efficacy and behavior intention. It may be beneficial to improve empowerment for students to prevent influenza A(H1N1) by focusing on perceived threat, perceived efficacy, behavior intention.

Influencing Factors of Exercise Behavior Change in Nursing Students (간호학생의 운동변화 단계 요인)

  • Suh, Boo Deuk
    • Korean Journal of Adult Nursing
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    • v.18 no.4
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    • pp.573-581
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    • 2006
  • Purpose: This study was to predict the stage of exercise behavior change in undergraduate students and to identify the factors affecting exercise behavior change by using the trans theoretical Model. Method: The subjects were 193 undergraduate students at K and D university in D city. Data were collected by questionnaire surveys using convenience sampling and analyzed by SPSS 12.0 program. Results: 77.7% of 193 nursing students do not exercise or they exercise irregularly. Exercise self-efficacy score and exercise benefits score were decreased with advancing exercise stage, on the other hand exercise barriers score and the process of exercise behavior change score were increased. In addition to this, the results revealed that stage of exercise behavior was significantly correlated with the process of exercise behavior change, exercise benefits, exercise barriers and exercise self-efficacy. Conclusion: These results suggested that the process of exercise behavior change, exercise decisional balance and exercise self-efficacy can be potential affecting factors for the stages of behavior change in university students. Therefore, these findings give useful information for educating nurse to construct nursing service programs focused on the stage of behavior change.

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