• Title/Summary/Keyword: control of learning behavior

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Personalized Media Control Method using Probabilistic Fuzzy Rule-based Learning (확률적 퍼지 룰 기반 학습에 의한 개인화된 미디어 제어 방법)

  • Lee, Hyong-Euk;Kim, Yong-Hwi;Lee, Tae-Youb;Park, Kwang-Hyun;Kim, Yong-Soo;Cho, Joon-Myun;Bien, Z. Zenn
    • Journal of the Korean Institute of Intelligent Systems
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    • v.17 no.2
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    • pp.244-251
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    • 2007
  • Intention reading technique is essential to provide personalized services toward more convenient and human-friendly services in complex ubiquitous environment such as a smart home. If a system has knowledge about an user's intention of his/her behavioral pattern, the system can provide mote qualified and satisfactory services automatically in advance to the user's explicit command. In this sense, learning capability is considered as a key function for the intention reading technique in view of knowledge discovery. In this paper, ore introduce a personalized media control method for a possible application iii a smart home. Note that data pattern such as human behavior contains lots of inconsistent data due to limitation of feature extraction and insufficiently available features, where separable data groups are intermingled with inseparable data groups. To deal with such a data pattern, we introduce an effective engineering approach with the combination of fuzzy logic and probabilistic reasoning. The proposed learning system, which is based on IFCS (Iterative Fuzzy Clustering with Supervision) algorithm, extract probabilistic fuzzy rules effectively from the given numerical training data pattern. Furthermore, an extended architectural design methodology of the learning system incorporating with the IFCS algorithm are introduced. Finally, experimental results of the media contents recommendation system are given to show the effectiveness of the proposed system.

Semi-active seismic control of a 9-story benchmark building using adaptive neural-fuzzy inference system and fuzzy cooperative coevolution

  • Bozorgvar, Masoud;Zahrai, Seyed Mehdi
    • Smart Structures and Systems
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    • v.23 no.1
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    • pp.1-14
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    • 2019
  • Control algorithms are the most important aspects in successful control of structures against earthquakes. In recent years, intelligent control methods rather than classical control methods have been more considered by researchers, due to some specific capabilities such as handling nonlinear and complex systems, adaptability, and robustness to errors and uncertainties. However, due to lack of learning ability of fuzzy controller, it is used in combination with a genetic algorithm, which in turn suffers from some problems like premature convergence around an incorrect target. Therefore in this research, the introduction and design of the Fuzzy Cooperative Coevolution (Fuzzy CoCo) controller and Adaptive Neural-Fuzzy Inference System (ANFIS) have been innovatively presented for semi-active seismic control. In this research, in order to improve the seismic behavior of structures, a semi-active control of building using Magneto Rheological (MR) damper is proposed to determine input voltage of Magneto Rheological (MR) dampers using ANFIS and Fuzzy CoCo. Genetic Algorithm (GA) is used to optimize the performance of controllers. In this paper, the design of controllers is based on the reduction of the Park-Ang damage index. In order to assess the effectiveness of the designed control system, its function is numerically studied on a 9-story benchmark building, and is compared to those of a Wavelet Neural Network (WNN), fuzzy logic controller optimized by genetic algorithm (GAFLC), Linear Quadratic Gaussian (LQG) and Clipped Optimal Control (COC) systems in terms of seismic performance. The results showed desirable performance of the ANFIS and Fuzzy CoCo controllers in considerably reducing the structure responses under different earthquakes; for instance ANFIS and Fuzzy CoCo controllers showed respectively 38 and 46% reductions in peak inter-story drift ($J_1$) compared to the LQG controller; 30 and 39% reductions in $J_1$ compared to the COC controller and 3 and 16% reductions in $J_1$ compared to the GAFLC controller. When compared to other controllers, one can conclude that Fuzzy CoCo controller performs better.

Effect of the Spportive Project for the Priority Region of Educational Welfare Investment[SPPREWI] on School Children's Psychosocial and Cognitive Adjustment (교육복지투자우선지역 지원사업이 아동.청소년의 사회.정서 및 인지적 발달에 미치는 효과)

  • Jung, Yeon-Jung;Um, Mung-Yong
    • Korean Journal of Social Welfare
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    • v.61 no.4
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    • pp.5-33
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    • 2009
  • This study attempted to evaluate the effectiveness of the Supportive Project for the Priority Region of Educational Welfare Investment(SPPREWI) which has been put into action in Korea as a part of national policies for poor school children. In so doing this study aimed to test SPPREWI's legitimacy as well as whether we have to continue this program or not. In order to fulfill this research purpose researchers identified several outcome indicators of SPPREWI, which represent psychosocial and cognitive adjustment. The variables pertaining to psychosocial adjustment domain are: self-concept; depression, anxiety, and suicidal impulse; inclination of assault and indignation; delinquency; school life adjustment; and change in social relations. The variables of cognitive adjustment include recognition of self-control in learning; control strategy of learning behavior; and preparedness for job hunting. In this study the quasi-experimental group contained students from schools which are under the SPPREWI. The control group was composed of students from schools which were free from SPPREWI but under the influence of deteriorating school environment. The quasi-experimental group and the control group were compared in terms of outcome indicators presented earlier. Within the quasi-experimental group both the students below poverty-line and the students above poverty-line were divided into two groups each by the level of service use, and were compared in terms of the outcome variables presented earlier. Study results supported the argument that SPPREWI was effective generally in improving students' school adjustment. Study results also showed that the variable of 'school nurturance' played a significant role in moderating the effect of SPPREWI on a couple of outcome variables specially when schools' overall educational environment was in poor condition. Implication as well as suggestion were presented on the basis of study findings.

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A Study on the Effect of Pro-Environmental Consumers on Environmental Education Utilizing Value-Attitude-Behavior Model (가치-태도-행동모델(VAB)을 활용한 친환경 소비자의 환경교육의 조절효과 연구)

  • Hwang, Youn-Sung;Seo, Yong-Mo
    • Journal of the Korea Convergence Society
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    • v.8 no.7
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    • pp.273-282
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    • 2017
  • This empirical study is to verify the moderating effects of environmental education on pro-environmental consumers. For this purpose, we used Value-Attitude-Behaviro Model(VAB). In addition, as an environmental education method, the environmental education method using 7 environmental movies by the multimedia with excellent learning effect in order to increase the interest and educational commitment of the learners was utilized. A total of 116 subjects were divided into experimental group and control group, and the experiment was designed based on Pretest-Posttest Control Group Design to grasp the effect of environmental education after conducting environmental education to the experiment group. The results of the analysis showed that environmental education had no effect on environmental values but it had a positive effect on improving the attitude and the pro-environmental behavior. This study proved that the sustainable environmental education could form pro-environmental behavior, even though the environmental sense of values had not been formed in adolescence, and furthermore, the earlier researches had been mainly focused on the effect of the environmental education for the adolescent.

Health Behavior and Perception of Therapeutic Restrictions in Chronically Ill Children and Their Parents (만성질환 아동과 부모의 치료적 제한에 대한 인식과 건강행위)

  • Park, Eun-Sook;Im, Yeo-Jin;Im, Hye-Sang;Oh, Won-Oak
    • Child Health Nursing Research
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    • v.12 no.3
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    • pp.405-416
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    • 2006
  • Purpose: The purpose of this study was to explore health behavior and perception of therapeutic restrictions in chronically ill children and their parents in Korea. Method: Nine children with chronic disease and of six of their parents were interviewed using semi-structured a questionnaire. The data were analyzed using explorative content analysis. Results: Health behaviors related to therapeutic restrictions was classified into four domains, and the perceptions of therapeutic restrictions into two domains. The domains regarding compliance in health behavior with therapeutic restrictions included control-centered restrictions (maintaining food limitations, avoiding harmful environments, restriction on physical activity, restriction on social activity, restriction on learning activity), and everyday pursuit of balance(preference for healthy diet, maintaining a regular life style, maintaining a standard body weight, pursuing psychological well-being, family participation). Domains regarding perception of therapeutic restrictions included obstacles to growth and development (bridled life, opportunity deprivation, prevented from playing proper role), origin of conflict (tenacity, conflict, stressor, cover-up), task for normal life (doing proper duty), and everyday affairs (becoming ordinary, familiarity). Conclusion: This study will help to enhance understanding the behavior and perception of therapeutic restrictions by chronically ill children and their families and to establish educational programs and counseling for these children and their families.

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The effects of emotion, home environment, school environment on self-regulated learning: focusing on motivational and behavioral regulation (정서, 가정환경, 학교환경이 중학생의 자기조절학습에 미치는 영향: 동기조절 행동조절 중심으로)

  • Lee, Shin-dong;Park, Hye-Yeong
    • (The)Korea Educational Review
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    • v.22 no.2
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    • pp.133-156
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    • 2016
  • The purpose of this study was to examine the effects of emotion, home environment, school environment on self-regulated learning, focusing on motivational and behavioral regulation. Participants are 2070 students from 95 middle schools of Korean Children and Youth Panel Study(KCYPS). The variables of emotions, home environment, school environment and motivational regulation, behavioral regulation were analyzed using correlation analysis and multiple regression. The results were as follows. First, emotion, home environment, school environment were correlated with on motivational and behavioral regulation. Second, emotion explained motivational regulation and behavioral regulation of self-regulated learning as well as home envionment and school environment. All subvariables of emotion were significantly related to behavior control. Third, among subvariables of home environment, parents education and occupations, and annual household income were not significantly related to motivational regulation and behavioral regulation. However, home economic level perceived by students and parents' interest and abuse on students had great effects. Forth, school environment has a greater explanatory effect on motivational regulation and behavioral regulation. Particularly, friendships and relationships with teachers during learning activities had a significant effect. These results showed that emotion and psychological environment of learning environment are important variables affecting on self-regulated learning and suggests the need for researches on these variables.

Design of a Direct Self-tuning Controller Using Neural Network (신경회로망을 이용한 직접 자기동조제어기의 설계)

  • 조원철;이인수
    • Journal of the Institute of Electronics Engineers of Korea SC
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    • v.40 no.4
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    • pp.264-274
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    • 2003
  • This paper presents a direct generalized minimum-variance self tuning controller with a PID structure using neural network which adapts to the changing parameters of the nonlinear system with nonminimum phase behavior, noises and time delays. The self-tuning controller with a PID structure is a combination of the simple structure of a PID controller and the characteristics of a self-tuning controller that can adapt to changes in the environment. The self-tuning control effect is achieved through the RLS (recursive least square) algorithm at the parameter estimation stage as well as through the Robbins-Monro algorithm at the stage of optimizing the design parameter of the controller. The neural network control effect which compensates for nonlinear factor is obtained from the learning algorithm which the learning error between the filtered reference and the auxiliary output of plant becomes zero. Computer simulation has shown that the proposed method works effectively on the nonlinear nonminimum phase system with time delays and changed system parameter.

The Development and Application of PBL based Education Program for Ethical Consumption (PBL을 적용한 윤리적 의류소비교육 프로그램 개발과 적용)

  • Jeon, Mi Yeon;Oh, Kyung Wha
    • Journal of Korean Home Economics Education Association
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    • v.26 no.2
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    • pp.69-87
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    • 2014
  • This research is to develop ethical clothes consumption education program that adopts PBL which is student centered professor-learning method where the learner actively participates in lessons to recognize problems and solve them. This research also tried to see the changes in the students' ethical clothes consumption awareness and problem solving skills and self-directed learning ability after applying this program to lessons. With total of four study topic, seven ethical clothes consumption education programs were developed, and the actual lesson was conducted in controlled group and experiment group. Summary of this research is as followed: First, ethical clothes consumption education program was developed using PBL. Second, teenagers' ethical clothes consumption awareness increased much more than before the course. As both the control group and the experiment group were proven to have high ethical clothes consumption involvement and awareness, it was possible to confirm there is a need for systematic and continuous consumption education at school. Third, when a post test on changes in problem solving ability and self-directed learning ability after applying PBL based ethical clothes consumption education program was conducted, students' problem solving ability was enhanced and both factors, the awareness and behavior of self-directed learning, showed significant difference.

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Effect of Panax ginseng Extract on Passive Avoidance Retention in Old Rats

  • Jaenicke, Bernhard;Kim, Eun-Joo;Ahn, Jong-Woong;Lee, Hye-Sook
    • Archives of Pharmacal Research
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    • v.14 no.1
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    • pp.25-29
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    • 1991
  • Female rats of two groups (6 and 27 months) were tested in the passive avoidance test to investigate the age-dependency of the learning ability. The results showed a significantly better avoidance behavior in the young adult animals compared to the older ones. The influence of a 13-day treatment with Panax ginseng (30 mg/kg/d, oral) on 27 month old rats caused a considerably prolonging of the latency time in comparison to the untreated control group of the same age. In the open field the treated rats exhibited neither an altered locomotion nor exploration nor a changed emotional reactivity which could explain the improved avoidance reaction.

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Frequency Analysis of Adaptive Behavior of NEAT based Control for Snake Modular Robot (뱀형 모듈라 로봇을 위한 NEAT 기반 제어의 적응성에 대한 주파수 분석)

  • Lee, Jaemin;Seo, Kisung
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.64 no.9
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    • pp.1356-1362
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    • 2015
  • Modular snake-like robots are robust for failure and have flexible locomotions for obstacle environment than of walking robot. This requires an adaptation capability which is obtained from a learning approach, but has not been analysed as well. In order to investigate the property of adaptation of locomotion for different terrains, NEAT controllers are trained for a flat terrain and tested for obstacle terrains. The input and output characteristics of the adaptation for the neural network controller are analyzed for different terrains in frequency domain.