• International Journal of Contents
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• v.5 no.3
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• pp.57-64
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• 2009

Korea has relied on top down development method, in which companies, research and education institutions move into the industrial complexes established by the government. However, to improve local competitiveness, the paradigm is shifting from the government initiated industrial complex to the clusters based on the cooperative network of the region. Representative case is 'Samcheok-si Fire & Emergency industry cluster construction project' that begun in 2007. AHP technique analysis results on first-stage showed that priority was on policy and network elements, and the results of second-stage analysis show that priority was on Policy incentives to internationalize the cluster and strengthen link,. Cluster branding, Sharing of organizational culture to cope with changes in environment, Creation of group learning culture. The subject of this research is limited to Samcheok-si's the Fire and Emergency Industry cluster formation project. Therefore, the research area and standard should be expanded to increase generality in further researches.

• Korean Institute of Interior Design Journal
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• v.16 no.3 s.62
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• pp.85-92
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• 2007

Changing of paradigm at 21Century is changing a part of routine lives and it affects speculation system of recognizing the world. In this society, human is demanded changing of a part and new learning continuously. Like this, a role of individual and a part of various lives by changing of social environment have a close connection each other. In this society, they would need new circumstance of space by method of work. However, what show not necessity improving of work space but changing is the realities of our society. This thesis examine non-territorialization characteristics by focusing on the openness, composition, and flexibility. The working space on 21c head for a non-territorialization and be summarize. decenterial arrangement, increasing of public space and unification of personal work-station. The purpose of this study is to examine the non-territorialization by analysis of 21c working space.

• Journal of Institute of Control, Robotics and Systems
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• v.17 no.4
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• pp.346-352
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• 2011

This paper presents a system of road extraction for traffic images from a single camera. The road in the images is subject to large changes in appearance because of environmental effects. The proposed system is based on the integration of color correlograms and random forest. The color correlogram depicts the color properties of an image properly. Using the random forest, road extraction is formulated as a learning paradigm. The combined effects of color correlograms and random forest create a robust system capable of extracting the road in very changeable situations.

• Child Studies in Asia-Pacific Contexts
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• v.5 no.1
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• pp.21-38
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• 2015

This paper reviews Grammatical Mapping theory, a recently proposed theoretical paradigm for understanding children's acquisition of syntax, and ventures to apply the theory to the acquisition of semantics. Particularly, we focused on the domain of space, and proposed how children might acquire a unique system of spatial words in their mother tongue. Based on our review of evidence, we propose that there may be universal semantic primitives that serve as foundations of word meanings. We also propose that children must learn their mother tongue's semantic category system of spatial relations, from real time data. Finally, we argue that children's learning of word meanings may involve creation of a theory that makes sense to the child, and that this process of theory creation is possibly guided by universal principles and parameters.

• Journal of the Korean Data and Information Science Society
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• v.27 no.1
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• pp.255-264
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• 2016

Classification is a predictive modeling for a categorical target variable. Various classification ensemble methods, which predict with better accuracy by combining multiple classifiers, became a powerful machine learning and data mining paradigm. Well-known methodologies of classification ensemble are boosting, bagging and random forest. In this article, we assume that decision trees are used as classifiers in the ensemble. Further, we hypothesized that tree size affects classification accuracy. To study how the tree size in uences accuracy, we performed experiments using twenty-eight data sets. Then we compare the performances of ensemble algorithms; bagging, double-bagging, boosting and random forest, with different tree sizes in the experiment.

• Journal of The Korean Association For Science Education
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• v.12 no.1
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• pp.11-21
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• 1992

This study tried to find out the effect to types of test items upon the momentum effect. The previous studies showed that the momentum effect is influenced by stduents' congnitive levels and the abstractness of test items. In this study focused on the types of test items The test items are divided into 4 different types of quantitative and qualitative, verbal and image. The result showed that qualitative items showed a longer momentum effect than quantitative ones. The image items and verbal items did not show significant difference in the duration of momentum effect. The interpretation of this would need a careful psychological analysis. Anyhow, this result reconfirmed the existence of the momentum effect and showed that the study on the momentum effect could be a Significant research paradigm.

• Proceedings of the CALSEC Conference
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• 1999.07a
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• pp.95-108
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• 1999

The purpose of this study is to find the diversification of the methodology of KM (knowledge management) Benchmarking which has been developed rapidly as a new managing paradigm all over the world for the 21th century. In particular, at the point of that it has been going to be inevitable for domestic companies to adopt and utilize a knowledge management system as the pending assignment for surviving in the 21th century, this study thus can enable them to support an adoption of KM and suggest directions for companies. Therefore, the successful cases of KM adoption all through the world have been analyzed by this study with the classifications of the industrial fields, work-flows from the view point of learning organizations and information technologies. As a result, the KM type bearing the specific of the respective industry has not been unrolled, and the common element in the analysis of work-flows has been found. Based on the result, it is desirable for the companies to adapt KM, extracting necessary work field for KM. Consequently speaking, they need to benchmark and adopt the KM methodology based on the extracted results.

• Journal of Navigation and Port Research
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• v.35 no.2
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• pp.179-185
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• 2011

This paper aims to examine the use of the Balanced Scorecard in a not-for-profit organization (the Korea Shipping Association). The KSA has begun using the Balanced Scorecard paradigm in its strategic planning process. In this paper an overview is presented of the basic concepts of the Balanced Scorecard including the financial perspective, customer perspective, internal process perspective, and learning and growth perspective. The accounting system and its pros and cons of the KSA are then surveyed in terms of its performance evaluation. The application of the Balanced Scorecard approach to the KSA is discussed in detail. Implications in using the Balanced Scorecard are discussed. Finally, conclusions regarding the use of the Balanced Scorecard in a not-for-profit organization are presented. Through this paper, the comprehensive understanding of the performance evaluation for not-for-profit organizations as the KSA would be promoted.

• Journal of the Institute of Convergence Signal Processing
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• v.4 no.3
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• pp.41-48
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• 2003

This paper presents an indirect adaptive neuro controller using modified chaotic neural networks(MCNN) for nonlinear dynamic system. A modified chaotic neural networks model is presented for simplifying the traditional chaotic neural networks and enforcing dynamic characteristics. A new Dynamic Backpropagation learning method is also developed. The proposed MCNN paradigm is applied to the system identification of a MIMO system and the indirect adaptive neuro controller. The simulation results show good performances, since the MCNN has robust adaptability to nonlinear dynamic system.

• Journal of Information Processing Systems
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• v.16 no.3
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• pp.523-529
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• 2020

Future information and communication technology (ICT) is constantly evolving and converging in diverse fields depending on the wireless environment, and the trend is being further developed to increase the speed of wireless networks. Future ICT is needed in many areas such as active senior & solo-economy, hyper-connected society, intelligent machine, industrial boundary collapse, secured self, and the sharing economy. However, a lot of research is needed to solve problems such as machine learning, security, prediction, unmanned technology, etc. Therefore, this paper describes some technologies developed in the areas of blockchain, fault diagnosis, security, agricultural ICT, cloud, life safety and care, and climate monitoring in order to provide insights into the future paradigm.