• Title/Summary/Keyword: selection behavior

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Cooperative Strategies and Swarm Behavior in Distributed Autonomous Robotic Systems based on Artificial Immune System (인공면역 시스템 기반 자율분산로봇 시스템의 협조 전략과 군행동)

  • 심귀보
    • Journal of the Korean Institute of Intelligent Systems
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    • v.9 no.6
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    • pp.627-633
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    • 1999
  • In this paper, we propose a method of cooperative control (T-cell modeling) and selection of group behavior strategy (B-cell modeling) based on immune system in distributed autonomous robotic system (DARS). Immune system is living body's self-protection and self-maintenance system. These features can be applied to decision making of optimal swarm behavior in dynamically changing environment. For applying immune system to DARS, a robot is regarded as a ?3-cell, each environmental condition as an antigen, a behavior strategy as an antibody and control parameter as a T-cell respectively. When the environmental condition (antigen) changes, a robot selects an appropriate behavior strategy (antibody). And its behavior strategy is stimulated and suppressed by other robot using communication (immune network). Finally much stimulated strateby is adopted as a swarm behavior strategy. This control scheme is based on clonal selection and immune network hypothesis, and it is used for decision making of optimal swarm strategy. Adaptation ability of robot is enhanced by adding T-cell model as a control parameter in dynamic environments.

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A Study on the Difference of Wetsuits Selection Criteria, Demographic Characteristics, Purchasing Behavior according to Lifestyle Factors (라이프 스타일 요인에 따른 웨트슈트(wetsuits) 선택속성, 인구통계적 특성, 구매행동 차이에 관한 연구)

  • Kim, Ji U;Kim, Young Sam
    • Fashion & Textile Research Journal
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    • v.21 no.1
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    • pp.46-58
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    • 2019
  • This study analyzes the effects of lifestyle on wetsuits purchasing behavior and identifies various characteristics among lifestyle groups. A questionnaire survey of 213 domestic consumers with water sport activity and wetsuits experience indicated the following results: 1) Lifestyle factors were analyzed as 6 factors: social relation ships, development orientation, trend & appearance, domestic, positive acknowledgement of hobbies, pursuit of practicality. And the wetsuits selection criteria was 4 factors: wearing fitness, product information, design, reputation. 2) Social relationships, development orientation, positive acknowledgement of hobbies and pursuit of practicality factors had a positive effect fitness. Trend & appearance, development orientation, and pursuit of practicality factors had a positive effect on product information factors ; in addition, development orientation, and trend & appearance, a positive acknowledgement of hobbies factors had a positive effect design factors. Social relationships, trend & appearance, and pursuit of practicality factors had a positive effect on reputation factors. However, trend & appearance factors negatively affected the wearing fitness factors and the positive acknowledgement of hobbies factors had negative effect on product information, reputation factors. 3) The three groups of lifestyle factors showed differences in monthly average purchasing of clothes, average annual purchasing expenditures for water sports related products, number of water sport activity days and frequency, product selection criteria.

Middle-aged Female Consumers' Buying Behavior of Outdoor Sportswear (중년 여성 소비자의 아웃도어 스포츠웨어 구매행동)

  • Chung, Sung Jee
    • Journal of the Korea Fashion and Costume Design Association
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    • v.17 no.3
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    • pp.99-113
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    • 2015
  • The purpose of the study was to explore differences in perceived importance among factors of motives for participating in outdoor sports, product selection criteria of outdoor sportswear and store selection criteria, and in buying frequencies among store types and store locations. Another purpose was to find differences in importance of product selection criteria of outdoor sportswear and store selection criteria and in buying frequencies according to store types and store locations among groups according to motives for participation in outdoor sports. The questionnaire was developed by the researcher and was collected by 221 women aged between 40 and 59. The questionnaire was composed of four parts including participation motives, store selection criteria, and product selection criteria measured by Likert type scale, and demographic characteristics measured by nominal scale. Data were analyzed by frequency test, factor analysis, repeated measure ANOVA, Bonferroni adjusted t-test, cluster analysis by Ward method, ANOVA and Tukey's test as a post-hoc test. The results of the study showed that middle-aged women rated health improvement motive as the most important factor for participating in outdoor sports. Among product selection criteria, comfort was the most important, and among store selection, personal selling was the most important. Among store types, buying frequency in off-price store was the highest and among store locations, buying frequency in stores in a residential area was the highest. Moreover, three groups were classified according to motives for participation in outdoor sports: the health improvement motive group, the conspicuous/sociable motive group, the lower motive group The health improvement motive group rated comfort as the most important factor for product selection criteria, and showed the highest buying frequency in downtown stores. Conspicuous/sociable motive groups valued design and utilization for an everyday wear and shopped more frequently in specialty store and/or in downtown stores.

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Corporate Debt Choice: Application of Panel Sample Selection Model (기업의 부채조달원 선택에 관한 연구: 패널표본선택모형의 적용)

  • Lee, Ho Sun
    • The Journal of the Korea Contents Association
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    • v.15 no.7
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    • pp.428-435
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    • 2015
  • When I examined the corporate financing statistics in Korea, I have recognized that there are several trends of them. First, large enterprises use bank loan and direct financing like corporate bond as debt. Second, small and medium companies mainly use bank loan only. So I argue that there is sample selection bias in corporate debt choice and using sample selection methodology is more adequate when analysing the behavior in corporate debt choice. Therefore I have tested panel sample selection model, using the listed korean firm data from 1990 to 2013 and I have found that the panel sample selection model is appropriate.

Hierarchical Regression Analysis of Subjective Health Perception and Eating-out Selection Attributes of Elderly People (실버세대의 주관적 건강인식도와 외식선택속성의 위계적 회귀분석에 관한 연구)

  • Kim, Boram;Muk, Young-im;Yoon, Ji-young;joo, Nami
    • Journal of the Korean Dietetic Association
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    • v.25 no.3
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    • pp.188-198
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    • 2019
  • This study examined the subjective health recognition, motivation, selection property, consumption realties, and generalities of elderly people eating out. The ratio of women eating out in those over 60 years of ages was high and people in that age group ate out most actively. The score of convenience-oriented, gourmet-oriented, and dignity-oriented of the selection property for eating out increased with increasing frequency and expenditure for eating out. With increasing age, a negative (-) relationship with a decrease in the safety-oriented score of the selection property for eating out was predicted. As the number of days eating out increased, a positive (+) relationship with an increase in the safety-oriented score of the selection property for eating out was observed. As the scores of physical and social health perception increased, a positive (+) relationship with an increase in the gourmet oriented score was observed. Based on the results, various research on the relationship between the health recognition and eating out behavior of those over 60 years of age are required.

Dynamic Selection of Neural Network Modules based on Cellular Automata for Complex Behaviors (복잡한 행동을 위한 셀룰라 오토마타 기반 신경망 모듈의 동적선택)

  • Kim, Kyung-Joong;Cho, Sung-Bae
    • The Transactions of the Korean Institute of Electrical Engineers D
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    • v.51 no.4
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    • pp.160-166
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    • 2002
  • Since conventional mobile robot control with one module has limitation to solve complex problems, there have been a variety of works on combining multiple modules for solving them. Recently, many researchers attempt to develop mobile robot controllers using artificial life techniques. In this paper, we develop a mobile robot controller using cellular automata based neural networks, where complex tasks are divided to simple sub-tasks and optimal neural structure of each sub-task is explored by genetic algorithm. Neural network modules are combined dynamically using the action selection mechanism, where basic behavior modules compete each other by inhibition and cooperation. Khepera mobile robot simulator is used to verify the proposed model. Experimental results show that complex behaviors emerge from the combination of low-level behavior modules.

Motivation-Based Action Selection Mechanism with Bayesian Affordance Models for Intelligence Robot (지능로봇의 동기 기반 행동선택을 위한 베이지안 행동유발성 모델)

  • Son, Gwang-Hee;Lee, Sang-Hyoung;Huh, Il-Hong
    • Proceedings of the IEEK Conference
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    • 2009.05a
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    • pp.264-266
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    • 2009
  • A skill is defined as the special ability to do something well, especially as acquired by learning and practice. To learn a skill, a Bayesian network model for representing the skill is first learned. We will regard the Bayesian network for a skill as an affordance. We propose a soft Behavior Motivation(BM) switch as a method for ordering affordances to accomplish a task. Then, a skill is constructed as a combination of an affordance and a soft BM switch. To demonstrate the validity of our proposed method, some experiments were performed with GENIBO(Pet robot) performing a task using skills of Search-a-target-object, Approach-a-target-object, Push-up-in front of -a-target-object.

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Correlations among Cognitive Age, Sociocultural Attitudes towards Appearance, and Appearance Management Behavior (인지연령, 외모에 대한 사회문화적 태도 및 외모관리행동 간의 관계 연구)

  • Park, Kwang-Hee
    • Journal of the Korean Society of Clothing and Textiles
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    • v.36 no.7
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    • pp.756-766
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    • 2012
  • This study investigated the relationships among cognitive age, sociocultural attitudes towards appearance, and appearance management behaviors. This study gave a questionnaire survey to adults between the ages of 17 and 76 who lived in the Daegu and Gyeongbuk regions of South Korea. Data collected from the 296 respondents were analyzed using descriptive statistics, correlation analyses, and ANOVA. The sociocultural attitudes towards appearance (awareness and internalization) were significantly correlated with appearance management behaviors (weight training, skin care, hair care, make-up, and clothing selection). The cognitive age was significantly correlated with the sociocultural attitudes towards appearance and appearance management behaviors such as weight training and clothing selection.

Clothing Preference and Management Behaviors of the Korean Elderly Women

  • Nam, Yoon-Ja;Kim, In-Sook
    • The International Journal of Costume Culture
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    • v.2 no.2
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    • pp.1-13
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    • 1999
  • This study aimed to give an updated description of general clothing behavior patterns of the Korean elderly women. 430 women over 60 years old residing in Seoul wre surveyed with a questionnaire asking about their daily practices of clothing selection, disposal, recycling, quantity and place of purchase, and their background variables. Data were treated to SPSS for descriptive statistics, Chi-square analysis, ANOVA and Duncan's multiple range test. The result revealed that the wardrobe of the Korean aged women is by now fully oriented toward the western style. The subjects disposed of their clothing mainly because of their body size changes and had elementary fitting problems unsolved. They had clothing recycling experinces and turned out to be inactive clothing consumers with differing shopping places according to the types of clothing items to be purchased. The subjects'age and income level had significant effects on various facets of their clothing behavior.

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Selection of a Predictive Coverage Growth Function

  • Park, Joong-Yang;Lee, Gye-Min
    • Communications for Statistical Applications and Methods
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    • v.17 no.6
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    • pp.909-916
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    • 2010
  • A trend in software reliability engineering is to take into account the coverage growth behavior during testing. A coverage growth function that represents the coverage growth behavior is an essential factor in software reliability models. When multiple competitive coverage growth functions are available, there is a need for a criterion to select the best coverage growth functions. This paper proposes a selection criterion based on the prediction error. The conditional coverage growth function is introduced for predicting future coverage growth. Then the sum of the squares of the prediction error is defined and used for selecting the best coverage growth function.