• Journal of the Korean Home Economics Association
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• v.36 no.10
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• pp.49-64
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• 1998

The purpose of this study is to find out the degree of practice in three systems of action in home life of female and male middle school students who have learned the home economics under the 6th curriculum revision for three years since 1995 by teacher's major, student's sex, help from the family members, mothers' job, and the form of family. The results of this study are as follows: 1) The practice in systems of action in home life is relatively low in the communicative action, but is high unexpectably in emancipative action. 2) Depending on teacher's major, the practice in systems of action in home life of the students who have been taught by home economics majored teacher is high in communicative action but there is no significant difference in emancipative action between two groups. 3) The r]practice of female students is high in family, clothing, and housing areas, but therer is no significant difference between female and male students in resources and consuming, and food and nutrition areas of home life. 4) The more the family members help the students, the higher their practice in systems of action in home life. 5) The practice in all systems of action in home life has no significant difference between mothers with jobs and mothers without jobs. 6) There is no significant difference in systems of action in home life among groups by forms of family. 7) The result of multiple regression analysis shows that the helf from family members and sex of student independent variables have relative influence in the practice of home life.

• Human Ecology Research
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• v.58 no.4
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• pp.561-583
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• 2020

This study developed and implemented a teaching · learning process plan for Home Economics in middle school by converging Habermas's three systems of action. It also examined the effect of the class through the evaluation of students and teachers who participated in the class. This study developed 10 sessions for a teaching and learning process plan by converging three systems of action and reconstructing learning elements related to 'balanced meal plan' and 'food choice' according to the practical action teaching model. After class, we surveyed the degree of help for students, analyzed the learning activity sheets, and analyzed the reflection journals of teachers to evaluate the effects of the class. This class was found to be the most helpful in practicing the healthy dietary life of students, expanding their thoughts, understanding learning contents, and helping them change their lives. As a result of analyzing the learning activity sheet, students gained enlightenment by reflecting and evaluating their action through the class; in addition, changes in interest, awareness, and action appeared. Through the convergence of three systems of action, teachers who practiced the class criticized and realized the act that students were unconsciously accepted. In addition, it confirmed the possibility that students could change their lives, family and society by promoting optimal nutrition and health for a good life that pursues the best good.

• Journal of Information Technology Applications and Management
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• v.22 no.1
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• pp.109-130
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• 2015

This study aims to provide the results of a case study, based on the action research approach, in which an user-oriented management system for enterprise information systems operational performance is successful developed and applied. This study performs the research and summarizes the results by adopting 5-step approach of action research, i.e., diagnosing, action planning, action taking, evaluating and specifying learning. The most important lessons learned from the study include (1) operation performance measures should be established to be shared by the management and users; (2) evaluation and improvement activities should be performed continually; and (3) formula to calculate the measure should be evolved so that improvement initiatives can be identified. The results of the study are expected to provide the companies intending to develop a management system for enterprise information systems operational performance with the practical and useful information. In addition, it is expected to suggest the research results that can be utilized as a basis for future research in this area.

• Journal of Korean Home Economics Education Association
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• v.9 no.1
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• pp.83-94
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• 1997

The purpose of this study was to provide fundamental information for the determination on secondary Home Economics educations contents on food/nutrition. For this purpose, the Home Economics teachers’needs assessment was performed in view of three(technical, interpretive, emancipatory) systems of action. Questionnaire survey was performed. Among 564 questionnaires sent to Home Economics teachers of 396 secondary school selected by systemic random sampling 362 questionnaires were received and 335 questionnaires were analyzed for this study. As a statistical tool, SPSS/PC(sup)+ was used to analyze frequency, mean, standard deviation, T-test and ANOVA. The major findings in this study were as followings： 1. The most important system of action Home Economics teachers recognized on the contents of food/nutrition was interpretive action, followed by emancipatory action. Technical action was turned out to be the least important system of action. 2. Home Economics teachers recognized that the content of interpretive action was the most achieved action in the text book. The least achieved action was emancipatory action, and the middle was technical action. 3. The needs related to contents of emancipatory action was the highest, followed by interpretive action. The lowest needs was the contents related to technical action. 4. Home Economics teacher’s personal background and situation variables make no difference in the importance, achievement in the text book, and the needs of food/nutrition contents.

• Asia pacific journal of information systems
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• v.23 no.3
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• pp.105-129
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• 2013

This study draws important factors in electronic Word-of-Mouth (eWOM) and examines how these influence the building of customer loyalty. eWOM is viewed as social communication between customers and sellers, and thus the communicative action theory is applied. With the theory, we identify reviewer and seller as influential players on customers, and derive important factors such as correctness and veracity of reviews from the reviewers' action, and information compactness and adequacy from the seller's action. We propose these constructs as antecedents of customer loyalty and further hypothesize their curvilinear impacts as follows: the marginal impacts of veracity and correctness will decrease as veracity and correctness increase, and the marginal impacts of compactness and adequacy will increase as compactness and adequacy increase. The result indicates that only the seller's action has a curvilinear impact, whereas the reviewer has proportional positive impact on customer loyalty. This study indentifies important factors in eWOM from a critical social theory perspective and validates them using the positivistic approach. For practitioners, it discusses the important factors in eWOM with the identification of the individuals who are responsible for these factors.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.6 no.3
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• pp.264-269
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• 2006

This paper presents the strategy for searching a hidden object in an unknown area for using by multiple distributed autonomous robotic systems (DARS). To search the target in Markovian space, DARS should recognize th ε ir surrounding at where they are located and generate some rules to act upon by themselves. First of all, DARS obtain 6-distances from itself to environment by infrared sensor which are hexagonally allocated around itself. Second, it calculates 6-areas with those distances then take an action, i.e., turn and move toward where the widest space will be guaranteed. After the action is taken, the value of Q will be updated by relative formula at the state. We set up an experimental environment with five small mobile robots, obstacles, and a target object, and tried to research for a target object while navigating in a un known hallway where some obstacles were placed. In the end of this paper, we present the results of three algorithms - a random search, an area-based action making process to determine the next action of the robot and hexagon-based Q-learning to enhance the area-based action making process.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.3
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• pp.792-812
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• 2022

Multi-agent systems often need to achieve the goal of learning more effectively for a task through coordination. Although the introduction of deep learning has addressed the state space problems, multi-agent learning remains infeasible because of the joint action spaces. Large-scale joint action spaces can be sparse according to implicit or explicit coordination structure, which can ensure reasonable coordination action through the coordination structure. In general, the multi-agent system is dynamic, which makes the relations among agents and the coordination structure are dynamic. Therefore, the explicit coordination structure can better represent the coordinative relationship among agents and achieve better coordination between agents. Inspired by the maximization of social group utility, we dynamically construct a factor graph as an explicit coordination structure to express the coordinative relationship according to the utility among agents and estimate the joint action values based on the local utility transfer among factor graphs. We present the application of such techniques in the scenario of multiple intelligent vehicle systems, where state space and action space are a problem and have too many interactions among agents. The results on the multiple intelligent vehicle systems demonstrate the efficiency and effectiveness of our proposed methods.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.2
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• pp.832-854
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• 2019

Action recognition has been studied in computer vision field for years. We present an effective approach to recognize actions using a dimension reduction method, which is applied as a crucial step to reduce the dimensionality of feature descriptors after extracting features. We propose to use sparse matrix and randomized kd-tree to modify it and then propose modified Local Fisher Discriminant Analysis (mLFDA) method which greatly reduces the required memory and accelerate the standard Local Fisher Discriminant Analysis. For feature encoding, we propose a useful encoding method called mix encoding which combines Fisher vector encoding and locality-constrained linear coding to get the final video representations. In order to add more meaningful features to the process of action recognition, the convolutional neural network is utilized and combined with mix encoding to produce the deep network feature. Experimental results show that our algorithm is a competitive method on KTH dataset, HMDB51 dataset and UCF101 dataset when combining all these methods.

• The Transactions of the Korean Institute of Electrical Engineers
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• v.37 no.4
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• pp.220-225
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• 1988

A class of adaptive controllers with integral action is proposed, which may riject the offset due to any load disturbance on the plant. Effective integral action and robust identification against the offset can be achieved via the zero-gain predictor. The system is improved, in this paper, to be of more generalized structure, and the detuning control weight which can cope with nonminimum-phase systems is tuned on-line. Discrete-time versions of the improved system are developed, which may be more flexible for the choice of the design parameters. The resulting control systems may also be shown to be robust to the unmodelled dynamics.

• Journal of Institute of Control, Robotics and Systems
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• v.5 no.7
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• pp.855-861
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• 1999

In this paper, we present new application for the auction method which has been based on one-chip microprocessors. We develop the portable wired terminal for market blocker. And, using that, the recommended price of products is able to push into and show the information of action status. Through our research, using EAS(Electronic Auction System), we can prevent supplier from blocker's rigging the market, because anyone who have a qualification for the action blocker is able to participate in action.