• Journal of the Korean Society for Library and Information Science
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• v.56 no.2
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• pp.5-33
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• 2022

In this study, the direction and contents of public education to develop competencies that are in line with the 2022 revised curriculum and the paradigm of future education were sought, and a plan for reading education was prepared. A creative and cooperative problem-solving method and process as not only information literacy ability to read, select, and reconstruct information but also transformative competency to respond to uncertain future and diversified situations are important amid the complex, pluralistic and rapid development of information and communication technology It was intended to give an experience of exploring and communicating through reading in order to explore and derive it. Analyze the general outline and syllabus of the curriculum, international education project definitions and indicators, and organize academic theories and research to set the direction and goal of high school reading education, and organize creative and convergence class strategies and reading activities A library reading class model was developed. Accordingly, the class model was revised by applying the development research method, and the final model was developed by supplementing it through field application evaluation. In order to achieve the research purpose end, a two-round Delphi survey was conducted on 10 reading education and curriculum experts. The model modified through the Delphi survey was developed in the final school library convergence reading class model by demonstrating the class in the educational field and supplementing it through application evaluation.

• Journal of KIISE
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• v.42 no.11
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• pp.1423-1429
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• 2015

The Internet of Things (IoT) is a new concept associated with the future Internet, and it has recently become a popular concept to build a dynamic, global network infrastructure. However, the deployment of IoT creates difficulties in satisfying different Quality of Service (QoS) requirements and achieving rapid service composition and deployment. In this paper, we propose a new QoS control scheme for IoT systems. The Markov game model is applied in our proposed scheme to effectively allocate IoT resources while maximizing system performance. The results of our study are validated by running a simulation to prove that the proposed scheme can promptly evaluate current IoT situations and select the best action. Thus, our scheme approximates the optimum system performance.

• Journal of the Korean Data and Information Science Society
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• v.9 no.2
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• pp.345-355
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• 1998

The back propagation(BP) algorithm allows multilayer feedforward neural networks to learn input-output mappings from training samples. It iteratively adjusts the network parameters(weights) to minimize the sum of squared approximation errors using a gradient descent technique. However, the mapping acquired through the BP algorithm may be corrupt when errorneous training data are employed. In this paper two types of robust backpropagation algorithms are discussed both from a theoretical point of view and in the case studies of nonlinear regression function estimation and handwritten Korean character recognition. For future research we suggest Bayesian learning approach to neural networks and compare it with two robust backpropagation algorithms.

• Journal of KIISE:Software and Applications
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• v.29 no.8
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• pp.595-603
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• 2002

Only a few studies have been conducted on how to select multiple classifiers from the pool of available classifiers for showing the good classification performance. Thus, the selection problem if classifiers on how to select or how many to select still remains an important research issue. In this paper, provided that the number of selected classifiers is constrained in advance, a variety of selection criteria are proposed and applied to tile construction of multiple classifier systems, and then these selection criteria will be evaluated by the performance of the constructed multiple classifier systems. All the possible sets of classifiers are trammed by the selection criteria, and some of these sets are selected as the candidates of multiple classifier systems. The multiple classifier system candidates were evaluated by the experiments recognizing unconstrained handwritten numerals obtained both from Concordia university and UCI machine learning repository. Among the selection criteria, particularly the multiple classifier system candidates by the information-theoretic selection criteria based on conditional entropy showed more promising results than those by the other selection criteria.

• Korean Journal of Communication Studies
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• v.22 no.2
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• pp.89-121
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• 2014

In order to suggest a strategy for continuous growth of webtoon, this article examined webtoon usage motivation and tried to make a prediction about culture content products and services connected with webtoon, including intention for viewing movies, based on webtoon; intention for switching to paid webtoon content, and intention for buying webtoon character products. From the point of view of Uses and Gratification Theory intentions for using webtoon and human sociocultural behavior intention are already predicted but with the usefulness of Theory of Planned Behavior Integrated Model this study extended the explanation power of prediction about webtoon related behavioral intention. Results found 5 motivational factors for webtoon usage i.e. 'seeking information', 'entertainment and access availability', 'webtoon genre characteristics', 'influence from a friend or acquaintance', and 'escapism and tension release'. Among them the ones that influenced the intention for viewing movies, based on webtoon, were found to be 'webtoon genre characteristics', 'escapism and tension release' and the 3 variables from Theory of Planned Behavior. 'Seeking information', 'entertainment and access availability', 'webtoon genre characteristics', and all the 3 variables from Theory of Planned Behavior were found to influence the intention for switching to paid webtoon content. The intention for buying webtoon based character products was affected by the motivational factors 'seeking information', 'escapism and tension release' and the behavior and subjective norms variables from Theory of Planned Behavior. Based on the uncommon results from the research several suggestions were made for the continuous growth of webtoon.

• The Transactions of the Korea Information Processing Society
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• v.6 no.8
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• pp.2106-2112
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• 1999

In decision-making, information is the thing manufactured as the useful type for decision -making. We can improve the efficiency of decision-making by elimination of unnecessary information. Rough set is the theory that can classify and reduce the unnecessary. But the reduction process of rough set becomes more complex according to the number of attribute and tuple. After eliminating of the dispensable attributes using $\chi$2 and rough set, the indispensable attributes are used for the units of input layers in neural network. This rough-neural network can support more correct decision-making of neural network.

• Journal of Internet Computing and Services
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• v.10 no.6
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• pp.19-26
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• 2009

In this paper, a minimum Euclidian distance criterion between error PDF and Dirac delta function is introduced and a constant modulus type blind equalizer algorithm based on the criterion is proposed. The proposed algorithm using constant modulus error in place of actual error term of the criterion has superior convergence and steady state MSE performance, and the error signal of the proposed algorithm exhibits more concentrated density function in blind equalization environments. Simulation results indicate that the proposed method can be a reliable candidate for blind equalizer algorithms for multipoint communications.

• Journal of KIISE:Computer Systems and Theory
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• v.33 no.1_2
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• pp.79-91
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• 2006

The intelligent disk can improve the overall performance of the I/O subsystem by processing the I/O operations in the disk side. At present time, however, realizing the intelligent disk seems to be impossible because of the limitation of the I/O subsystem and the lack of the backward compatibility with the traditional I/O interface scheme. In this paper, we proposed new model for the intelligent disk that dynamically optimizes the I/O subsystem using the information that is only related to the physical sector. In this way, the proposed model does not break the compatibility with the traditional I/O interface scheme. For these works, the boosting algorithm that upgrades a weak learner by repeating teaming is used. If the last learner classifies a recent I/O workload as the multimedia workload, the disk reads more sectors. Also, by embedding this functionality as a firmware or a embedded OS within the disk, the overall I/O subsystem can be operated more efficiently without the additional workload.

• Journal of The Korean Association of Information Education
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• v.21 no.4
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• pp.415-424
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• 2017

Due to the influence of the fourth industrial revolution in recent years, maker education is getting attention. Therefore, this study tried to propose the possibility of application (app) development education as maker education by empirically verifying the affective and cognitive effects of app development education using authoring tool. To do this, we implemented app development education in D high school in Seoul, Korea, and collected data from 41 participants. We analyzed the changes in attitudes toward SW education and creative problem-solving ability before and after the education by conducting the paired t-test, and the level of satisfaction and perceived achievement through descriptive statistics analysis. Also, the learner's responses collected through the open-ended questionnaire were analyzed qualitatively. The result showed that the attitude toward SW education and creative problem-solving ability showed statistically significant improvement after app development education using the authoring tool, and the learner's statement also supported this result. Also, satisfaction and perceived achievement after the education were relatively high. Through these results, we have empirically confirmed the effect of app development education using the authoring tool for high school students, and derived the theoretical and practical implications.

• Journal of Korean Library and Information Science Society
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• v.46 no.3
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• pp.119-140
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• 2015

The domestic and foreign standards of school libraries suggest that school library should be run to give useful and pleasant experiences to students. This study applies Csikszentmihalyi's 'flow theory' to analyze the relationships between students' flow experience and their satisfaction about school libraries use. The variables selected in this study are students' satisfaction, flow experience, library skill, challenge of library use, types of library use and students' learning styles. The research model is designed by using these 6 variables in this study. The data are collected from 293 students and analyzed by structural equation modeling. The results of this study are as follows: The entire casual relationships show that library skills influence in types of library use, types of library use affect students' learning styles and students' learning styles influence in satisfaction through flow. To improve students' satisfaction about school library use, this study proposes effective ways related to teacher librarians' role performances to expand students' flow experience and increase their library skills.