• Proceedings of the IEEK Conference
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• 1998.10a
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• pp.1273-1276
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• 1998

The HMM-Net is an architecture for a neural network that implements a hidden Markov model (HMM). The architecture is developed for the purpose of combining the discriminant power of neural networks with the time-domain modeling capability of HMMs. Criteria used for learning HMM-Net classifiers are maximum likelihood (ML), maximum mutual information (MMI), and minimization of mean squared error(MMSE). In this paper we propose an efficient learning method of HMM-Net classifiers using hybrid criteria, ML/MMSE and MMI/MMSE, and report the results of an experimental study comparing the performance of HMM-Net classifiers trained by the gradient descent algorithm with the above criteria. Experimental results for the isolated numeric digits from /0/ to /9/ show that the performance of the proposed method is better than the others in the respects of learning and recognition rates.

• Journal of the Korean Institute of Educational Facilities
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• v.14 no.2
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• pp.25-34
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• 2007

This study analyzed the type of the teaming space of 84 elementary schools which were prized as excellent schools on architectural planning and design in Japan from 1985 to 2005. As a result of the study, more types of learning space appeared at different elementary schools, and there was a tendency to plan as one unit space which include class room, multipurpose space, and others, on the planning of learning space. They intended to be uses for the teaming and living activity as a group of a school year.

• Proceedings of the IEEK Conference
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• 1998.06a
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• pp.933-935
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• 1998

The HMM-Net is an architecture for a neural network that implements a hidden markov model (HMM). The architecture is developed for the purpose of combining the discriminant power of neural networks with the time-domain modeling capability of HMMs. Criteria used for learning HMM-Net classifiers are maximum likelihood(ML) and minimization of mean squared error(MMSE). In this paper we propose an efficient learning method of HMM_Net classifiers using a ML-MMSE hybrid criterion and report the results of an experimental study comparing the performance of HMM_Net classifiers trained by the gradient descent algorithm with the above criteria. Experimental results for the isolated numeric digits from /0/ to /9/ show that the performance of the proposed method is better than the others in the repects of learning and recognition rates.

• STI Policy Review
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• v.8 no.2
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• pp.49-74
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• 2017

What are some of the explanations for cross-national diversity of foresight performance among technological followers? Why are some countries more successful than others in learning how to develop national innovation system foresight? This paper argues that the answers are linked to organizational capacities at three different levels: governmental, policy network and social learning. To corroborate this argument, the paper chose Iran and Korea as benchmarking partners, and attempts to find out what makes Iran a slow learner in building innovation system foresight. The conceptual model is an improved model of Saritas's, by integrating Borras' and Andersen's conceptions and classifications. The data are collected from comprehensive interviews in both countries and second-hand data of international indexes. The paper, finally, concludes that it is the weakness of analytical-systemic capacity that impedes and delays the emergence of systemic foresight in Iran, and that this weakness stems from the adverse impacts of the dominant institutions, surrounding the innovation system. The final point is that it is not sufficient for Iran to learn the methods and techniques of foresight from Korea. It should learn how to open its macro-policy towards the global market and design appropriate industrial strategy in a coherent policy-strategy portfolio.

• Journal of Digital Convergence
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• v.11 no.12
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• pp.161-168
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• 2013

For the successful implementation of IT projects, individual consultant's competency in the project is very important. Especially, learning processes are required for solving various critical issues which can be occurred during implementing IT project. The objective of this research is to develop the measures for learning processes. Prior to setup the learning processes, we conducted 3 times in-depth interviews with IT consultants who have over 20 years IT project experiences. Through interviews with IT project expert, we tried to validate our research mode and develop survey questionnaires.

• The Korean Journal of Applied Statistics
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• v.34 no.3
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• pp.329-345
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• 2021

Recommender systems use data from customers to suggest personalized products. The recommender systems can be categorized into three cases; collaborative filtering, contents-based filtering, and hybrid recommender system that combines the first two filtering methods. In this work, we introduce and compare deep learning-based recommender system using autoencoder. Autoencoder is an unsupervised deep learning that can effective solve the problem of sparsity in the data matrix. Five versions of autoencoder-based deep learning models are compared via three real data sets. The first three methods are collaborative filtering and the others are hybrid methods. The data sets are composed of customers' ratings having integer values from one to five. The three data sets are sparse data matrix with many zeroes due to non-responses.

• Journal of Korea Entertainment Industry Association
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• v.15 no.3
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• pp.183-192
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• 2021

This study was purposed to explore the learning culture through the related literature and research review in Jewish Havruta which has interaction, critical reflection, and the driving force creating a better world. The prior researches on Havruta mainly tend to as ways to increase learners' interest in learning and studies as curriculum or teaching methods such as creativity, understanding, and problem-solving skills. However, Havruta is not just method to study subjects, but rather a process of developing thinking through dialogue and discussion. Therefore, Havruta's essential meaning as a lifelong learning should be explored. Studies showed that Jews embody the thinking process from interpreting, analyzing, setting up logic, questioning, discussing, and debating Talmud with others anytime, anywhere, and anyone throughout their learning culture. It develops basic skills for life, forms an integrated personality in relationships with others, and continuously conducts lifelong learning to shape one's own beings. Therefore, lifelong learning culture would be sharing information that one has in the process of discussion through dialogue between two or more people, and supporting and encouraging the other's failure or fear rather than attacking them. The embodiment of thinking process in which people teach and learn eachother, accept the difference, and expand thought would be significant foundation to create lifelong learning culture.

• Korea Journal of Hospital Management
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• v.18 no.2
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• pp.127-152
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• 2013

The purpose of this study was to investigate the effect of balancing, coordinating and learning strategy on performance of private university hospitals. We think that the study will contribute to establish effective management strategy of private university hospitals. Data were collected from 69 private university hospitals. We measured balancing, coordinating and learning strategy, and perceived performance of the hospital by using 5-point Likert scale. Upper-grade general hospitals were significantly higher rate of growth and profitability than others. However, general hospitals were higher level in perceived performance than upper-grade general hospitals. Hospitals located in Seoul were significantly higher growth rate than those in other regions. Large-scale hospitals were significantly higher rate of growth and profitability than small hospitals. Qualitative performance did not different in any hospital characteristics. Growth of hospitals were significantly influenced from business strategies: selective strategy, formal coordinating strategy, and external learning strategy. Profitability of hospitals were also significantly influenced from business strategies: selective strategy, adaptive strategy, and external learning strategy. Subjective performance of hospitals were significantly influenced from external learning strategy. There were no factors that are significantly influencing on qualitative performance of hospital. To have successful performance in the competitive environment, it is recommended that private university hospitals should have to establish management strategy such as balancing, coordinating, and learning strategy.

• Hwankyungkyoyuk
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• v.21 no.4
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• pp.94-110
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• 2008

Recently environmental problem becomes such a big issue all over the world that the necessity and importance of the environmental education in school has been simultaneously emphasized. While diverse methods for the environmental education have been researched, this paper, especially focused on a teaching-learning model called GBS (Goal-based scenario), aims to provide a new learner-centered approach for the environmental education. For this purpose, this paper first briefly presents two theoretical backgrounds of GBS (i.e., constructivism and Schank's dynamic memory theory), which is followed by specific and concrete strategies and methods of how to apply GBS in class for the teacher. GBS(Goal-Based Scenario) is a learner-centered model in which learners are presented with a reality-based scenario (or task or problem) and go through several stages of 'missions' to get to a final solution of the given scenario. GBS, while completely resonant with other constructivist learning models in terms of learner-centered approaches, is distinctive from others, when it supplies more specific, structured guides of learning, called 'missions', to the students throughout the whole learning process. In a words, GBS ought to be recognized as an unique learner-centered model compromising the contradictory concepts of 'learner control' and 'structure and specifics' in learning environments still without any damage of constructivist learning principles.

• International Journal of Advanced Culture Technology
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• v.12 no.1
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• pp.20-25
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• 2024

The qualitative effect of class is influenced by the instructor's class design and operation method, but it comes from motivating students to actively participate in class and utilizing potential qualities that lead to student-centered learning. Students' activities and the quality development of class participation can be utilized in presentation-based classes. This could be confirmed through the presentation classes in English language curriculum applied to English major students in Korea. In other words, with presentations conducted in language-theoretic classes such as phonetics/phonology, and syntax, it turned out that immersion in learning, concentration on class, and motivation for learning can be improved, developing systematic self-directed learning ability and cooperative mutual communication ability. Instructors need to lead the direction and design of the classes, but the actual educational effect depends on how students accept the academic tasks, how well they understand the learning contents, and how well they can systematically transmit them to others. In this respect, this study aims to investigate that learner-centered presentation classes contribute to making learners develop their competencies in class design, data utilization, imparting knowledge, and communication, which would bring about the improvement of learning quality and educational effects.