• Hwankyungkyoyuk
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• v.22 no.3
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• pp.72-82
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• 2009

The purpose of this study was to develope experience-education program for elementary students which use environmental resources and learning sources of Jeju island. This study designed developing framework of environmental education program for using local resources and developed experience-education program on the basis of it. Especially this program consisted of direct experience, indirect experience, and local community learning. This program consisted of five activities -'Jeju's water', 'Mecca of wind power', 'Rushing jellyfish', 'Ramsar wetland', and 'Searching the fossil'. Each activity themes was to use environmental resources of Jeju island. And this program had relationship with science, social studies, and ethics in the curriculum. The result of this study will serve to activate environmental education program for using local resources if we solve program's problem through application process.

• 제어로봇시스템학회:학술대회논문집
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• 1990.10a
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• pp.36-40
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• 1990

Conventional back propagation learning is generally characterized by slow and rather inaccurate learning which makes it difficult to use in control applications. A new multilayer perception architecture and its learning algorithm is proposed that consists of a Kohonen front layer followed by a back propagation network. The Kohonen layer selects a subset of the hidden layer neurons for local tuning. This architecture has been tested on the inverse kinematic solution of robot manipulator while demonstrating its fast and accurate learning capabilities.

• The Journal of Information Technology
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• v.5 no.2
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• pp.1-9
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• 2002

This papers is a study on design and implementation of a web-based courseware for learning Yungwol local community through the internet which is one of the self leading learning methods. Learners can learn Yungwol local community by using the web-based courseware and on the basis of this learning methods, learners can use them according to their wish at anytime and anyplace. The learner-centered teaching model can be offered by sharing, exchanging, and interacting the information each other. To achieve such purpose, two learning grounds are applied. One is the research learning ground which students can study for themselves in the course of searching for the changing cause which can affect to local community and culture. And the other is the experimental ground where is the changing cause searched from research learning ground. Social and physical environment of the lot of community can realized by surfing the network and e-mails producing web-based file through internet. If these web-based research community is more developed and used under the local area network school, self-leading research learning methods will be done regardless of the place and the time.

• The Journal of the Korea Contents Association
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• v.22 no.5
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• pp.633-642
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• 2022

This is conducted with the aim of critical discussions on existing arguments, focusing on the establishment of a higher lifelong learning ecosystem. First, this study discusses the characteristics of university education in Korea and the discourse on the crisis of local universities. Second, the arguments on the establishment of lifelong learning society and a lifelong learning system. Third, the arguments for the establishment of a higher lifelong learning ecosystem are reviewed and practical measures for this are critically discussed. The conclusion is as follows. Measures for the establishment of a higher lifelong learning ecosystem have been discussed in considerable detail, and through this, the possibility of overcoming the crisis of local universities and balanced regional development is sufficient. However, first, the university should play a central role, but this study questions whether university reform could be achieved to suit it. Second, in order to overcome the crisis, national responsibility, responsibility, and continuous support are required. On the other hand, it raised questions about whether cooperation from the current Korean government authorities is possible. Third, local communities should also achieve governance and participate in democratic ways, raising questions about whether a foundation-forming strategy for stakeholder consensus is established.

• Journal of Korean Library and Information Science Society
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• v.46 no.4
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• pp.471-491
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• 2015

The purpose of this paper is to examine the structural relationship between the use of a web medium and learning commitment to develop creative talent for higher media integrated Korean classical literature education. For this we used DBs of The 'Encyclopedia of Korean Local Culture(a local culture DB)' built by the Academy of Korean Studies, and a survey was conducted on 418 high school students, attending a classical literature class which used a local culture DB. The result of this study demonstrates media usefulness of local culture DBs' positive effect on learning commitment. Specifically, media richness and media experience affects the learning commitment through the medium usefulness. These results indicate that in order to encourage learner's medium experience and increase medium richness it is necessary to increase the utilization of mediums, such as local culture DBs.

• Journal of the Korean association of regional geographers
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• v.14 no.2
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• pp.159-172
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• 2008

The purpose of this study is to analyse the content of regional learning in social studies textbooks for the 1st-year and 3rd-year middles school. The content of regional learning in social studies for middle school is described with not layered scale between local and global but segmented scale. So this study selected Andong city as an exemplary case and reconstructed the learning content and class to things necessary in the age of globalization. In the class for designing the local image of Andong, the students were advised to visit the homepage in Andong city. In the course. students showed increasing interest in local festivals, events, locality promotion, etc. executed by Andong. Many of the students were interested in activity designing new local images of Andong. In particular, According to the result of applying localization learning necessary in the age of globalization to 1st-year middle school students, the class was found to be understood adequately. It is needed to develop localization teaching-learning programs fit for the developmental stage of 1st-year middle school students.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.5 no.4
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• pp.281-285
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• 2005

Learning and evolving are two basics for data mining. As compared with classical learning theory based on objective function with minimizing training errors, the recently evolutionary computing has had an efficient approach for constructing optimal model without the minimizing training errors. The global search of evolutionary computing in solution space can settle the local optima problems of learning models. In this research, combining co-evolving algorithm into statistical learning theory, we propose an co-evolutionary computing for statistical learning theory for overcoming local optima problems of statistical learning theory. We apply proposed model to classification and prediction problems of the learning. In the experimental results, we verify the improved performance of our model using the data sets from UCI machine learning repository and KDD Cup 2000.

• International Journal of Contents
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• v.18 no.2
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• pp.47-57
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• 2022

e-Learning content can be defined as digital content to achieve educational goals. Since it is an educational material that can be distributed in offline, online, and mobile environments, it is important to create content that meets the learner's education environment and educational goals. In particular, if the learner is a public official, the vision, philosophy, and characteristics of each local government must reflect. As non-face-to-face online education expands further due to the COVID-19 pandemic, local governments that have relied on onsite education in the past urgently require developing strong basic competency education and special task competency content that reflect regional characteristics. Such e-learning content, however, hardly exists and the ability to independently develop them is also insufficient. In this circumstance, this case study describes the process of self-production of e-learning content suitable for Busan's characteristics by the Human Resource Development (HRD) Institute of Busan City, a local government. The field of instructional design and instructional technology is always evolving and growing by blending technological innovation into instructional platform design and adapting to the changes in society. Busan HRD Institute (BHI), therefore, tried to implement blended learning by developing content that reflected the recent trend of micro-learning in e-learning through a detailed analysis. For this, an e-learning content developer with certain requirements was selected and contracted, and the process of developing content through a collaboration between the client and developer was described in this study according to the ADDIE model of Instructional Systems Development (ISD).

• Journal of Korea Multimedia Society
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• v.19 no.5
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• pp.848-855
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• 2016

Face recognition has received a great deal of attention for the wide range of applications in real-world scenario. In this scenario, mismatches (so called heterogeneity) in terms of resolution and illumination between gallery and test face images are inevitable due to the different capturing conditions. In order to deal with the mismatch problem, we propose a local feature learning method using deep canonical correlation analysis (DCCA) for heterogeneous face recognition. By the DCCA, we can effectively reduce the mismatch between the gallery and the test face images. Furthermore, the proposed local feature learned by the DCCA is able to enhance the discriminative power by using facial local structure information. Through the experiments on two different scenarios (i.e., matching near-infrared to visible face images and matching low-resolution to high-resolution face images), we could validate the effectiveness of the proposed method in terms of recognition accuracy using publicly available databases.

• International Journal of Advanced Culture Technology
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• v.12 no.3
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• pp.159-164
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• 2024

Net surplus serves as a crucial indicator of how efficiently local governments utilize their resources. This study aims to analyze and categorize the patterns of net surplus across 75 local governments in Korea. By employing machine learning techniques such as K-means clustering and silhouette analysis, this research delves into surplus patterns, revealing insights that differ from those provided by traditional analytical methods. Machine learning enables a broader spectrum of discoveries, leading us to identify three distinct clusters in the net surplus of Korean local finances. The characteristics of these three clusters show that the wealthiest cities have the highest surplus ratios. In contrast, mid-sized municipalities, constrained by limited central government support and scarce local resources, exhibit the lowest surplus ratios. Interestingly, a significant number of cities maintain a median surplus ratio even under challenging fiscal conditions. Additionally, we identify critical thresholds that differentiate the three clusters: a grant-in-aid ratio of 19.31%, a debt ratio of 3.52%, and a local tax ratio of 25.58%. This identification of thresholds is a key contribution of our study, as these specific thresholds have not been previously addressed in the literature.