• Proceedings of the Korean Information Science Society Conference
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• 2006.10b
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• pp.194-199
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• 2006

본 논문에서는 불확실한 환경 상에서의 의사결정 알고리즘인 "Case-based Decision Theory" (CBDT) 알고리즘을 dynamic하게 연동되는 연속된 의사결정 문제에 대하여 강화학습의 대표적인 Q-learning의 강화기법을 응용하여 확장한 새로운 의사결정 알고리즘 "Dynamic CBDT"를 제안하고, CBDT알고리즘에 대한 Dynamic CBDT의 효율성을 테트리스 실험을 통하여 확인한다.

• English Language & Literature Teaching
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• v.11 no.1
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• pp.57-76
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• 2005

This study provides a rationale for using project-based learning with Korean students of English in Korea; in addition, it describes the process of creating and implementing project-based learning in the classroom and gives examples of how this unique teaching and learning method has been used successfully to teach learners with different levels of English proficiency. The first two chapters of the study examine the nature of project-based learning by comparing it with related fields of study, such as language teaching syllabi and methods, cognitive psychology, constructivists' views and interaction theory. The latter part of the study deals with issues related to applying project-based learning in Korean English classes. It emphasizes the importance not only of motivating active group effort and participation, but also in creating a trusting, cooperative relationship between group members in order to have a successful accomplishment of a project. The study concludes with implications for future studies.

• International Journal of Contents
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• v.12 no.4
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• pp.8-16
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• 2016

This research proposes the composition logic of an Active Learning Environment (ALE), to enable discovery by learning through experience, whilst increasing knowledge about modern architectural heritage. Linking information to the historical heritage using Information and Communication Technology (ICT) helps to overcome the limits of previous learning methods, by providing rich learning resources on site. Existing field trips of cultural heritages are created to impart limited experience content from web resources, or receive content at a specific place through humanities Geographic Information System (GIS). Therefore, on the basis of the blended space theory, an augmented space experience method for overcoming these shortages was composed. An ALE space framework is proposed to enable discovery through learning in an expanded space. The operation of ALE space is needed to create full coordination, such as a Content Management System (CMS). It involves a relation network to provide knowledge to the rule engine of the CMS. The application is represented with the Deoksugung Palace Seokjojeon hall example, by describing a user experience scenario.

• Journal of the Korean Institute of Intelligent Systems
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• v.17 no.1
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• pp.39-45
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• 2007

In this paper, we developed an intelligent web based e-learning system based on multi agents. To do development of the system, we applied an inclination test that is based on the education theory to do grouping the desirable e-learning community. The proposed system, Intelligent Web based e-learning Multi Agent System (IMAS), is used the multi agents paradigm including learning manner by neural network for grouping of e-learning community and a new distributed multi agent framework proposed here.

• Journal of information and communication convergence engineering
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• v.2 no.2
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• pp.97-101
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• 2004

This paper is about the use of existing evaluation methods, which evaluate learning determined by the score of an exam, which is either a multiple-choice type or single choice type question. These scores don't show the objective evaluations that cause some negative opinions about the scores. In this paper, we propose that the evaluation of the methods of self-directed learning use the triangle-type function of the fuzzy theory so that the learner can objectively evaluate their own learning ability. The proposed method classifies the result of learning into three fuzzy grades to calculate membership, and evaluate the result of an exam according to the final fuzzy grade degree as applied to the fuzzy grade sheets.

• Journal of KIISE
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• v.43 no.7
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• pp.751-762
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• 2016

This paper presents an overview of the emerging field of quantum machine learning which promises an innovative expedited performance of current classical machine learning algorithms by applying quantum theory. The approaches and technical details of recently developed quantum machine learning algorithms that have been able to substantially accelerate existing classical machine learning algorithms are presented. In addition, the quantum annealing algorithm behind the first commercial quantum computer is also discussed.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 1993.06a
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• pp.1082-1085
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• 1993

In this paper, we notice the fact that a human learning process is characterized by a process under a natural language environment, and discuss an approach of learning based on indirect linguistic instructions. An instruction is interpreted through some meaning elements and each trend. Fuzzy evaluation rule are constructed for the searched meaning elements of the given instruction, and the performance of a system to be learned is improved by the evaluation rules. In this paper, we propose a framework of learning based on indirect linguistic instruction based learning using fuzzy theory: FULLINS(FUzzy-Learning based on Linguistic IN-Struction). The validity of FULLINS is shown by applying it to helicopter flight control.

• (The)Study of the Eastern Classic
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• no.57
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• pp.67-102
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• 2014

Yeoheon is a representative recluse and philosopher in the 17th Joseon dynasty. His contemporary intellectuals considered him as a sincere nobleman, Confucius in the Joseon, and moreover a saint, a cornerstone of culture, and a model for Confucianists. As a politician, he was regarded as practicing the stabilization of the people's livelihood and education, which are the key ideas of Confucian politics, when he serviced as a local governmental office twice. In addition, his ruler thought that he was right, wise, and modest, and therefore had the dignity of the old sage. His subordinates considered that he possessed the way of the old great ministers and the eye to see the current state of affairs. His theory of the Yijing is based on Cheng-Zhou learning, but developed their interpretation of the text. In addition, he discussed that Confucianism is a practical learning. His theory of the ritual was considered to follow Zhu Xi's works, but refer the old rituals and overcome the aspect of minor customs. His contemporary scholars thought that his theory of Neo-Confucianism revealed the essence of Li-Four and Qi-Seven theory regardless of scholarly parties, which were formed after Toegye and Yulgok. However, he proposed the Li-longitude and Qi-latitude theory in order to restore the real values, but it is similar to Yulgok's theory, which was criticized by the schools of Toegye and South Faction near Seoul. However, his theories revealed the fact that Joseon Confucianism cannot be simply differentiated as two major theories of "Centering on Li" and "Centering on Qi. In addition, his ideas of the universe and concern for the old showed that Joseon Confucianism is not just a theory, but is related to our lives and therefore practical in its nature.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.11 no.10
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• pp.4968-4986
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• 2017

In this paper, we primarily address the difficulty of automatic generation of a plausible depth map from a single image in an unstructured environment. The aim is to extrapolate a depth map with a more correct, rich, and distinct depth order, which is both quantitatively accurate as well as visually pleasing. Our technique, which is fundamentally based on a preexisting DepthTransfer algorithm, transfers depth information at the level of superpixels. This occurs within a framework that replaces a pixel basis with one of instance-based learning. A vital superpixels feature enhancing matching precision is posterior incorporation of predictive semantic labels into the depth extraction procedure. Finally, a modified Cross Bilateral Filter is leveraged to augment the final depth field. For training and evaluation, experiments were conducted using the Make3D Range Image Dataset and vividly demonstrate that this depth estimation method outperforms state-of-the-art methods for the correlation coefficient metric, mean log10 error and root mean squared error, and achieves comparable performance for the average relative error metric in both efficacy and computational efficiency. This approach can be utilized to automatically convert 2D images into stereo for 3D visualization, producing anaglyph images that are visually superior in realism and simultaneously more immersive.

• Journal of Educational Research in Mathematics
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• v.14 no.3
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• pp.239-266
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• 2004

This article presents new perspectives for analysing and diagnosing students' mathematical errors on the basis of Pascaul-Leone's neo-Piagetian theory. Although Pascaul-Leone's theory is a cognitive developmental theory, its psychological mechanism gives us new insights on mathematical errors. We analyze mathematical errors in the domain of proof problem solving comparing Pascaul-Leone's psychological mechanism with mathematical errors and diagnose misleading factors using Schoenfeld's levels of analysis and structure and fuzzy cognitive map(FCM). FCM can present with cause and effect among preconceptions or misconceptions that students have about prerequisite proof knowledge and problem solving. Conclusions could be summarized as follows: 1) Students' mathematical errors on proof problem solving and LC learning structures have the same nature. 2) Structures in items of students' mathematical errors and misleading factor structures in cognitive tasks affect mental processes with the same activation mechanism. 3) LC learning structures were activated preferentially in knowledge structures by F operator. With the same activation mechanism, the process students' mathematical errors were activated firstly among conceptions could be explained.