• Journal of the Korean Regional Science Association
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• v.15 no.1
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• pp.93-116
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• 1999

Recently the concept of learning has become very fashionable among academics from different economic disciplines. Economic geographers and spatial planners joined this fashion by increasingly speaking about the 'learning region'. This paper makes clear that this learning region'. This paper makes clear that this learning region concept has been launched from three angles; as spatial outcome of grand societal changes, as spatial concentration of entrepreneurial learning for innovation and as regional development concept. Despite the deficits and flaws such a young concept is faced with, such as vague definitions, the lack of empirical research and an insufficiently clear separation from existing concepts, the learning region concept might provide economic geography with more insight in agglomeration effects, stronger links with policy-making and more knowledge on path dependency and thus on unravelling the distinction between 'good' and 'bad' industrial agglomerations.

• Journal of The Korean Association of Information Education
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• v.4 no.1
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• pp.57-71
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• 2000

Generally, Web Based Instruction has been deployed through whole studies, but the characteristic that is suit various WBI materials to a course of study is a important problem of instructional practice and it also has not to overlook. Therefore, Today's problem that is application of learning materials about the regional autonomy for Web Based Instruction, A plan that it can be solved in the social studies is propelling in this paper. Each of the whole country's region, the learning about the regional autonomy with centering around text, it is a text book, 'Social Investigation', that is developed specially is teaching until now, but developmental model of learning materials about the regional autonomy for Web Based Instruction is proposed by the efforts for improve this problem. Various learning materials about the regional autonomy for Web Based Instruction applied to learn our regional cultural life through the school homepage with based on this proposal. As a result of this study, By sloughing off old sensibility with centering around text, Student's Ability of self directed learning and solving problem is expanded with the dynamic multimedia regional Webpage's environment

• 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.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.17 no.2
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• pp.576-590
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• 2023

Machine learning is widely used in various academic fields, and recently it has been actively applied in the medical research. In the medical field, machine learning is used in a variety of ways, such as speeding up diagnosis, discovering new biomarkers, or discovering latent traits of a disease. In the respiratory field, a relative regional air volume change (RRAVC) map based on quantitative inspiratory and expiratory computed tomography (CT) imaging can be used as a useful functional imaging biomarker for characterizing regional ventilation. In this study, we seek to predict RRAVC using various regular machine learning models such as extreme gradient boosting (XGBoost), light gradient boosting machine (LightGBM), and multi-layer perceptron (MLP). We experimentally show that MLP performs best, followed by XGBoost. We also propose several relative coordinate systems to minimize intersubjective variability. We confirm a significant experimental performance improvement when we apply a subject's relative proportion coordinates over conventional absolute coordinates.

• Smart Structures and Systems
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• v.30 no.6
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• pp.571-582
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• 2022

Optimal life-cycle management is a challenging issue for deteriorating regional bridges. Due to the complexity of regional bridge structural conditions and a large number of inspection and maintenance actions, decision-makers generally choose traditional passive management strategies. They are less efficiency and cost-effectiveness. This paper suggests a deep reinforcement learning framework employing double-deep Q-networks (DDQNs) to improve the life-cycle management of deteriorating regional bridges to tackle these problems. It could produce optimal maintenance plans considering restrictions to maximize maintenance cost-effectiveness to the greatest extent possible. DDQNs method could handle the problem of the overestimation of Q-values in the Nature DQNs. This study also identifies regional bridge deterioration characteristics and the consequence of scheduled maintenance from years of inspection data. To validate the proposed method, a case study containing hundreds of bridges is used to develop optimal life-cycle management strategies. The optimization solutions recommend fewer replacement actions and prefer preventative repair actions when bridges are damaged or are expected to be damaged. By employing the optimal life-cycle regional maintenance strategies, the conditions of bridges can be controlled to a good level. Compared to the nature DQNs, DDQNs offer an optimized scheme containing fewer low-condition bridges and a more costeffective life-cycle management plan.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.7
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• pp.3333-3350
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• 2019

The smart jammer launches jamming attacks which degrade the transmission reliability. In this paper, smart jamming attacks based on the communication probability over different channels is considered, and an anti-jamming Q learning algorithm (AQLA) is developed to obtain anti-jamming knowledge for the local region. To accelerate the learning process across multiple regions, a multi-regional intelligent anti-jamming learning algorithm (MIALA) which utilizes transferred knowledge from neighboring regions is proposed. The MIALA algorithm is evaluated through simulations, and the results show that the it is capable of learning the jamming rules and effectively speed up the learning rate of the whole communication region when the jamming rules are similar in the neighboring regions.

• Journal of the Korean Society of Earth Science Education
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• v.13 no.1
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• pp.110-120
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• 2020

It is generally reported that field learning and a class using regional materials motivate learning and give a positive effect on learning of geology unit, science subject. The purpose of this study is to develop and to suggest regional materials for learning of geology unit, science subject at Jaeundo. The results of this study are as follows. Regional materials were developed at three locations (namjin dockyard area, yangsan beach area and dunjang beach area) of the study area. Namjin dockyard area (A site) is composed of terrain of sea cliff, sand beach and mud flat. Sedimentary rocks, weathering phenomenon of rocks and strata of various shape are distributed in sea cliff of A site. Yangsan beach area (B site) is composed of coastal terrain as sea cliff and sand beach about 1.5km long. Sedimentary rocks and rhyolite are distributed in sea cliff of B site. Tafoni formed by weathering process of rocks are developed on sedimentary rock outcrop of B site. Dunjang beach area (C site) is composed of coastal terrain of sea cliff, sand beach about 2km long and sea stack. Stratified sedimentary rocks are distributed in sea cliff of C site. Sea stack located in near halmi island on the west side of dunjang beach area is a good sample showing erosion process of sea cave for a long time. Unique geomorphology and geology phenomena distributed in 3 sites at Jaeundo can be used as regional materials for learning of geology unit, science subject. And, Regional materials shall be used in conjunction with the text book data of geology units. These 3 sites of the study area are worth using as field learning course for elementary and middle school students.

• Journal of the Korean association of regional geographers
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• v.12 no.2
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• pp.281-290
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• 2006

Map uses graphic language of dot, line and area to represent surface of the earth. Map has been adopted as tools for regional and cartography learning to improve graphicacy in geography education. Due to the rapid development in GIS and internet, practical use of maps has been extended in various study area. This Study is to develope web-based leaning materials for self-controled geography instruction. As learning materials for this aim, it has been constructed WebGIS for topography and thematic maps with boundary map of Chungbuk, digital map of Jochiwon(1:25,000), statistic data and field images. Function of WebGIS intend to improve skills on geo-information collection and spatial query, regional difference of spatial distribution. Individual learning using internet can make an improvement of learner centeredness and problem-solving. Finally, it will be expected to be suggest one of the education guide as blueprint in info-society.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.47 no.1
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• pp.41-50
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• 2024

Korea is facing a significant problem with historically low fertility rates, which is becoming a major social issue affecting the economy, labor force, and national security. This study analyzes the factors contributing to the regional gap in fertility rates and derives policy implications. The government and local authorities are implementing a range of policies to address the issue of low fertility. To establish an effective strategy, it is essential to identify the primary factors that contribute to regional disparities. This study identifies these factors and explores policy implications through machine learning and explainable artificial intelligence. The study also examines the influence of media and public opinion on childbirth in Korea by incorporating news and online community sentiment, as well as sentiment fear indices, as independent variables. To establish the relationship between regional fertility rates and factors, the study employs four machine learning models: multiple linear regression, XGBoost, Random Forest, and Support Vector Regression. Support Vector Regression, XGBoost, and Random Forest significantly outperform linear regression, highlighting the importance of machine learning models in explaining non-linear relationships with numerous variables. A factor analysis using SHAP is then conducted. The unemployment rate, Regional Gross Domestic Product per Capita, Women's Participation in Economic Activities, Number of Crimes Committed, Average Age of First Marriage, and Private Education Expenses significantly impact regional fertility rates. However, the degree of impact of the factors affecting fertility may vary by region, suggesting the need for policies tailored to the characteristics of each region, not just an overall ranking of factors.

• Journal of the Korean Geographical Society
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• v.36 no.4
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• pp.483-494
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• 2001

The purpose of this study is to analyze the relation between regional identity and national identity in a regional textbook in Korea. In geography education, regional textbooks are curriculum materials which represent regional identity based on territorial difference from other regions. In local curriculum level, the harmony between national unity and regional identity is to be pursued as educational objective. However, this harmony appears to be distorted in the school textbook in Je-Ju Province, a case region. For example, Confucian cultural landscapes are represented as otherness in regional discourses, but togetherness in the regional textbook. Also, the regional textbook implies that the boundary of external territorialization is mainly not regions but nations, and it seems to intend that leasers get a sense of place towards their region as periphery of nation. Therefore, we argue that regional identity, which must be stressed in a regional textbook, is marginalized in a case region.