International Journal of Aeronautical and Space Sciences
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v.11
no.3
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pp.155-166
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2010
I review research on self-sensing and structural optimizations of laminated carbon/epoxy composites in Japan. Self-sensing is one of the multiple functions of composites; i.e., carbon fiber is used as a sensor as well as reinforcement. I present a controversial issue in self-sensing and detail research results. Structural optimization of laminated CFRP composites is indispensable in reducing the weights of modern aerospace structural components. I present a modified efficient global search method using the multi-objective genetic algorithm and fractal branch and bound method. My group has focused its research on these subjects and our research results are presented here.
The study conducted an employment capability reinforcement program targeting health-related college students, and then carried out positive analysis to find out how satisfaction affects adjustment to college life and academic achievement. An employment capability reinforcement program was conducted which targeted health related majors at a university located in Cheongbuk, and information on satisfaction, adjustment to college life, and academic achievement was collected through a self-administered questionnaire. The analysis results revealed that the higher the satisfaction for the employment capability reinforcement program, the better the adjustment to college life, while increased adjustment to college life affected academic achievement. Although the employment capability reinforcement program had no direct relationship of influence to academic achievement, the study shows that it does lead to increased academic achievement by way of adjustment to college life, which ends up as a positive affect for future employment. Therefore, active efforts are necessary to revitalize employment related programs that suit the characteristics of each department in order to establish an environment for revitalizing employment and increasing adjustment to college life.
This paper proposes a CNN architecture as value function network of an artificial intelligence Othello game agent and its learning scheme using reinforcement learning algorithm. We propose an approach to construct the value function network by using CNN to learn the records of professional players' real game and an approach to enhance the network parameter by learning from self-play using reinforcement learning algorithm. The performance of value function network CNN was compared with existing ANN by letting two agents using each network to play games each other. As a result, the winning rate of the CNN agent was 69.7% and 72.1% as black and white, respectively. In addition, as a result of applying the reinforcement learning, the performance of the agent was improved by showing 100% and 78% winning rate, respectively, compared with the network-based agent without the reinforcement learning.
This study was conducted to provide information useful in developing a nursing curriculum. The sample consisted of 158 nursing students in Hanyang University and 34 faculty members who has taught them in their college & the practical area. Data were collected by using a structured questionnaire, which consisted of general characteristics of the students & their self-concept, teacher's perception of student's professional roles. The results are summarized as follows; 1. General characteristics of the students When the students applied for the university, they decided what they would specialized in. Because the motive of application for their major was simply based on their high school records, they were admitted to their university without previous knowledge of their major. The reason why they wanted to tranfer to another course after the admission was the same as above. The level of satisfaction of their major was the highest in Freshman, but in other grades the higher the;, grades were, the more they satisfied with their major and they had a better prospects about their speciality. 2. Self-concept in profermance for their major Self-concept in horne aspects was more positive perception than in social aspects & self control aspects. It resulted from tile fact that all students were females and the nursing uniqueness was based on the spirit of humanity & service. The students who had graduated from the high school in rural area wanted to tranfer to another course and taken counsel their personal problems with their parents had higher self-concept in horne aspects. As their grades were higher, the self-concept in social aspects bacame higher. The students who were satisfied with their major and took counsel their personal problems with their parents had more positive self - concept in social aspects. Self-concept in self control aspects was lower than other aspects. The students who didn't take counsel their problems with their parents, were burdened with their educational expenses and their curriculum had more negative self-concept in self control aspects. Therefore the university should be concerned about student's welfare and provide detailed orientation about their curriculum. 3. Teacher's perception about learner's professional role The role model of democratic group leader, role models for learners facilitator in a students' reach for knowledge and teaching based on soundly researched theory showed more positive perception than other factors. Their mean values were over 4. 32. The professionalism of allnurshing area, reinforcement with reinforcement for learning, nursing as part of the meaningful context of the whole showed nagative perception. Their mean values were below 3. 00. Therefore the nurse as a teacher should try to promote the locus of nursing profession and participate in their research actively.
Smoking is considered to be one of the important risk factors associated with various health problems. Thirty seven million people in America quit smoking in the past decade, with 90% quitting on their own(Americal Heart Association, 1986). According to McAlister(1975), 70% of smokers reported that they adopted a self-help smoking cessation approach rather than a formal treatment program. In our country, although, auccessful exsmokers have used, are not available, concerns about smoking cessation have increased, recently, due to changes in social and political attitudes to health promotion. This study was conducted to help smokers who had made a decision to adopt a self-helf smoking cessation approach instead of depending on a formal treatment program. It provided a structurd way for sucessful smoking cessation by identifying change mechanism factors which have been commonly used by smokers. The subjects selected for this study were 155 university students between 20 and 29. Years of age the results from the analysis of the collected data showed that seven factors in the self-help change processes significant, and they are named, Stimulus Control, Self-Determination, Information Management, Reinforcement Management, Helpful Relationships, Dramatic Relief, and Cognitive Restructuring. All of the factors except Self-Determination represent the same change mechanisms which are proposed by Prochaska et at.(1988). Self-Determination uniformly includes items belonging to various change processes. Therefore, it might be an transitional factor including strategies related to both cognitive and behavioral dimensions. In spite of this, noted that one item which gives meaning of Self-Determination shows the highest factor loading, it is named Self-Determination.
The Self Compacting Concrete, SCC is the new generation type of concrete which is not needed to be compacted by vibrator and it will be compacted by its own weight. Since SCC is a new innovation and also the high strength self compacting concrete, HSSCC behavior is like a brittle material, therefore, understanding the strength effect on the serviceability performance of reinforced self compacting concretes is critical. For this aim, first the normal and high strength self compacting concrete, NSSCC and HSSCC was designed. Then, the serviceability performance of reinforced connections consisting of NSSCC and HSSCC were investigated. Twelve reinforced concrete connections (L = 3 m, b = 0.15 m, h = 0.3 m) were simulated, by this concretes, the maximum and minimum reinforcement ratios ${\rho}$ and ${\rho}^{\prime}$ (percentage of tensile and compressive steel reinforcement) are in accordance with the provision of the ACI-05 for conventional RC structures. This study was limited to the case of bending without axial load, utilizing simple connections loaded at mid span through a stub (b = 0.15 m, h = 0.3 m, L = 0.3 m) to simulate a beam-column connection. During the test, concrete and steel strains, deflections and crack widths were measured at different locations along each member. Based on the experimental readings and observations, the cracked moment of inertia ($I_{cr}$) of members was determined and the results were compared with some selective theoretical methods. Also, the flexural crack widths of the members were measured and the applicability for conventional vibrated concrete, as for ACI, BS and CSA code, was verified for SCCs members tested. A comparison between two Codes (ACI and CSA) for the theoretical values cracking moment is indicate that, irrespective of the concrete strength, for the specimens reported, the prediction values of two codes are almost equale. The experimental cracked moment of inertia $(I_{cr})_{\exp}$ is lower than its theoretical $(I_{cr})_{th}$ values, and therefore theoretically it is overestimated. Also, a general conclusion is that, by increasing the percentage of ${\rho}$, the value of $I_{cr}$ is increased.
Purpose: This study was performed to identify the factors that change exercise behave. This study will also classify and identify the characteristics of excercise stages to which the elderly belong Also, to identify the processes of change which influence on the changes in exercise performed by the elderly. Methods: Convenient samples of 198 subjects over the age 60 in Seoul Korea(mean age=70) were selected from elderly communities and were all mentally conpetant older adults. The data were collected from April 1,1999 to May 30, 1999. The research instruments were measured the change in exercise (Marcus et al., 1992b), such as Stage of Change measure(Marcus et al,1992a). The data were analyzed by SAS Program. Results: 1. According to the measure of change without missing data, 191 subjects were distributed each stage of change for exercise: 50 subjects (26.1%), 7 subjects (3.6%), 52 subjects (27.2%), 4 subjects (2%), and 78 (40.8%) belonged to the precontemplation stage, the contemplation stage, the preparation stage, the action stage and the maintenace stage. 2. According to the factor analysis, 6 factors of change were identified as appropriate processes of change and were named by the researchers. The names were; 'Supportive helping relationship', 'Self cognitive determination', 'Environmental reinforcement', Consciousness raising', Reinforcement of negative condition and 'Conversion of negative condition'. 3. According to the stage of change, there were significant mean differences in the 'Supportive helping relationship(F=22.04, p=.0001)', 'Self cognitive determination (F=50.87, p=.0001)', 'Reinforcement of negative condition(F=7.84,p=.0006)'. 4. Through the discriminant analysis, it was found that Self cognitive determination is the most influential variable as one of the processes of change which can discrimiate the three stages of change (precontemplation, preparation, and maintenance). Also the next significant variable was Reinforcement of negative condition. Conclusion: The process of the dey change is one of concepts of The transtheoretical model known as strategies and the techniques people use as they go through the different stages of change. Even though this study is cross- sectional not longitudinal study, the finding of this study gives useful information for exercise intervention, by using this strategy of exercise for elderly in different stages of change in exercise.
Jo, Hyunbin;Shin, Dongmin;Seo, Eunhye;Lee, Wookjin;Lee, Junghoon
Journal of the Korean institute of surface engineering
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v.53
no.6
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pp.300-305
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2020
Corrosion of reinforcement steel rebar is a serious problem in a wide range of concrete application for buildings and infrastructures. Hydrophobizing surface treatments, such as self-assembled monolayer coating, edible oil-impregnation and silicone oil-impregnation were applied to solidified concrete. The hydrophobizing of concrete significantly reduces an absorption and transportation of water toward a steel rebar in concrete, so that the corrosion resistance of the steel rebar. In particular, the silicone oil-impregnation not only forms the hydrophobic monolayer on the concrete but also fills the inter-connected pores of concrete, thus the corrosion of steel rebar is significantly inhibited compared to the self-assembled monolayer coating and edible oil-impregnation. Therefore, the silicone oil-impregnation can be a promising candidate for preventing corrosion of steel rebar in concrete for durable performance and safety.
Journal of the Korean Institute of Telematics and Electronics S
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v.36S
no.2
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pp.28-37
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1999
Differentially Responsible Adaptive Critic Learning technique is proposed for learning the control technique with multiple control inputs as in robot system using reinforcement learning. The reinforcement learning is a self-learning technique which learns the control skill based on the critic information Learning is a after a long series of control actions. The Adaptive Critic Learning (ACL) is the representative reinforcement learning structure. The ACL maximizes the learning performance using the two learning modules called the action and the critic modules which exploit the external critic value obtained seldomly. Drawback of the ACL is the fact that application of the ACL is limited to the single input system. In the proposed Differentially Responsible Action Dependant Adaptive Critic learning structure, the critic function is constructed as a function of control input elements. The responsibility of the individual control action element is computed based on the partial derivative of the critic function in terms of each control action element. The proposed learning structure has been constructed with the CMAC neural networks and some simulations have been done upon the two dimensional Cart-Role system and robot squatting problem. The simulation results are included.
Journal of the Korean Institute of Intelligent Systems
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v.7
no.5
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pp.34-45
/
1997
In this paper, we present hardware implemcntation of self-organizing feature map (SOFM) neural networkwith constant adaptation gain and binary reinforcement function on FPGA. Whereas a tnme-varyingadaptation gain is used in the conventional SOFM, the proposed SOFM has a time-invariant adaptationgain and adds a binary reinforcement function in order to compensate for the lowered abilityof SOFM due to the constant adaptation gain. Since the proposed algorithm has no multiplication operation.it is much easier to implement than the original SOFM. Since a unit neuron is composed of 1adde $r_tracter and 2 adders, its structure is simple, and thus the number of neurons fabricated onFPGA is expected to he large. In addition, a few control signal: ;:rp sufficient for controlling !he neurons.Experimental results show that each componeni ot thi inipiemented neural network operates correctlyand the whole system also works well.stem also works well.
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