• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 1998.06a
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• pp.308-313
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• 1998

In this paper we will discuss a type of inductive learning called learning from examples, whose task is to induce general description of concepts from specific instances of these concepts. In many real life situations, however, new instances can be added to the set of instances. It is first proposed within the framework of rough set theory, for such cases, an algorithm to find minimal set of rules for decision tables without recalculation for overcall set of instances. The method of learning presented here is base don a rough set concept proposed by Pawlak[2][11]. It is shown an algorithm to find minimal set of rules using reduct change theorems giving criteria for minimum recalculation with an illustrative example. Finally, the proposed learning algorithm is applied to fuzzy system to learn sampled I/O data.

• Fashion Information and Technology
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• v.2
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• pp.22-32
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• 2005

Sourcing Simulator is specialized form of software capable of providing great insight into merchandising decision making. It is relatively easy to learn and operate by reading the help menus, experimenting with inputs, and critically analyzing outputs. 1 see that it has great potential in a training program for new merchandisers to help them absorb the complexity of the numbers they must effectively use. The Sourcing Simulator, Version 1 that accompanies my textbook, Merchandising: Theory Principles, and Practice, 2nd ed. is the least complex version available. Two versions are available from [TC]2 - Retail version and The Retail/ Manufacturing version. The Retail Version is very similar to the Version 1. The Retail/ Manufacturing Version includes analysis of processes and costs in the manufacturing process as well as the merchandise planning component that we have discussed here. Sourcing Simulator is developed at North Carolina State University by Dr. Russ King, and available from Textile Clothing Technology Corporation $[TC]^2$, Cary, North Carolina.

• Korean Institute of Interior Design Journal
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• v.14 no.2 s.49
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• pp.161-168
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• 2005

Kindergarten is the first educational experience of toddlers, where they experience living in a group environment. Carefully designed, it is intended to provide an environment for nurturing the systematic growth and development of youngsters. Through effective stimulation, young children display their abilities as they independently learn in the controlled setting of Kindergarten. This study advocates the support of educational activities through the use of systematic and scientific architectural design in order to achieve the challenging goals and results desired of Kindergarten education. Upon determining the current state of Kindergarten architectural design, I have sought to apply innovative architectural concepts which can be used to design desirable learning environment for Kindergarten aged children. In calculation of area, the average gross building area is minimum $2.3m^{2}/p$ and optimum $2.5m^{2}/p$. The area of classroom is optimum $6.8m^{2}/p$.

• Proceedings of the Korean Institute of Interior Design Conference
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• 2004.05a
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• pp.81-85
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• 2004

It became new social interest for children to have their own appropriate physical, mental, social environment as one independent identity, In these social atmosphere, new design method and standard of children's residence, education, playing environment which can fill their desire. When home and school are the first places to meet the world and learn, museum and science hall are the representing places to provide education and entertainment, especially to preschoolers, they are the prior education system. it is the most important these science halls to give children potential familiarity of science rather than direct knowledge. Also these places should be stepping stones of the process of intellectual growth as foundation stones for future science education. On this research i will provide a direction to space planning of children's science hall, extended to children' museum studying display producing of playing conception, the necessary element of children's physical, mental, social behavior development process.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2008.10a
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• pp.304-307
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• 2008

A spreadsheet-based linear program (LP) software, so called, the LP-Tableau is developed to aid users to learn the simplex algorithm systematically and to understand the various conditions that make the problem unusual and, in some instances, impossible to solve. The LP-Tableau has several good features over other spreadsheet-based LP software programs available. First, the data input in the LP-Tableau is very convenient especially when small-sized problems are analyzed. Further, the LP-Tableau allows for two solution methods (i.e., Big-M and Two-Phase) and displays the whole iterations in tableau format. Thus users can easily understand the principle of the algorithm step by step. Finally, the LP-Tableau visually displays various conditions of the optimal solutions that might occur in solving the LP problems.

• Journal of Korean Library and Information Science Society
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• v.39 no.2
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• pp.213-226
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• 2008

The purpose of this study was to analyze the effect of bibliotherapy for developing children's social competence. Specifically, this study investigated the relationship between bibliotherapy and social competence for elementary school children. In this study, social competence includes self-esteem, self-control, peer-relationship. As a result, bibliotherapy was significantly to related to self-control, self-esteem, peer-relationship. These results will be contributed to learn and develop social competence through bibliotherapy.

• Journal of Electrochemical Science and Technology
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• v.11 no.3
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• pp.318-321
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• 2020

Here I present a formula which converts a constant phase element (CPE) to its equivalent capacitor. Electrochemical impedance spectroscopy is capable of resolving a complex electrochemical processes into its faradaic and non-faradaic elements, and the non-faradaic process is frequently described as a CPE in place of a capacitor due to the non-ideality. Being described as a capacitor, the non-faradaic element provides information by its capacitance, but a CPE cannot provide a physical meaning. In order to solve the problem, the CPE has been dealt with as an equivalent capacitor of which the capacitance provides practical information. Succeeding the two methods previously suggested, a new conversion method is suggested in this report. While the previous ones manipulate only the CPE, the new method takes both the CPE and its related resistor into account for conversion. By comparing the results obtained by the three methods, we learn that the results are nearly the same within tolerable ranges, and conclude that any of the method choices is acceptable depending on the conditions of the system of interest.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.2 no.1
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• pp.1-8
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• 2002

It has been integrated into several navigation systems. This paper shows that system recognizes difficult indoor roads without any specific marks such as painted guide line or tape. In this method the robot navigates with visual sensors, which uses visual information to navigate itself along the read. The Neural Network System was used to learn driving pattern and decide where to move. In this paper, I will present a vision-based process for AMR(Autonomous Mobile Robot) that is able to navigate on the indoor read with simple computation. We used a single USB-type web camera to construct smaller and cheaper navigation system instead of expensive CCD camera.

• 제어로봇시스템학회:학술대회논문집
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• 2001.10a
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• pp.164.1-164
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• 2001

Q-learning is a recent reinforcement learning algorithm that does not need a modeling of environment and it is a suitable approach to learn behaviors for autonomous agents. But when it is applied to multi-agent learning with many I/O states, it is usually too complex and slow. To overcome this problem in the multi-agent learning system, we propose the successive Q-learning algorithm. Successive Q-learning algorithm divides state-action pairs, which agents can have, into several Q-functions, so it can reduce complexity and calculation amounts. This algorithm is suitable for multi-agent learning in a dynamically changing environment. The proposed successive Q-learning algorithm is applied to the prey-predator problem with the one-prey and two-predators, and its effectiveness is verified from the efficient avoidance ability of the prey agent.

• Research in Mathematical Education
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• v.20 no.1
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• pp.11-19
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• 2016

Investigating students' lived mathematical experiences presents dual challenges for the researcher. On the one hand, we must respect that students' experiences are not directly accessible to us and are likely very different from our own experiences. On the other hand, we might not want to rely upon the students' own characterizations of what constitutes mathematics because these characterizations could be limited to the formal products students learn in school. I suggest a characterization of mathematics as objectified action, which would lead the researcher to focus on students' operations-mental actions organized as objects within structures so that they can be acted upon. Teachers' and researchers' models of these operations and structures can be used as a launching point for understanding students' experiences of mathematics. Teaching experiments and clinical interviews provide a means for the teacher-researcher to infer students' available operations and structures on the basis of their physical activity (including verbalizations) and to begin harmonizing with their mathematical experience.