• Journal of the Korea Society of Computer and Information
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• v.28 no.2
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• pp.235-246
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• 2023

In this paper, we propose suggestions for developing a Metaverse platform for educational purpose utilizing a Delphi study method with experts on Metaverse and digital education. 17 experts participated in the 1st study and 16 took part in the 2nd study, and data was collected via emails from January 5th to 10th for the 1st study and from January 12th to 17th for the 2nd study in 2022. Collected data in the 1st study was analyzed by applying content analysis. The results for the 1st study indicated that there were 120 sub-factors were derived from 7 main questions(the necessity of a Metaverse platform for future education, how to use the Metaverse platform for education to improve the capacities needed for future human resources, problems that may arise during education using the Metaverse platform, the functions that the Metaverse platform for education should have, the infrastructure and environment required when using the Metaverse platform for education, how to use the Metaverse effectively as a learning space, subjects and educational contents that will be effective if conducted on the Metaverse platform for education). The results for the 2nd study were presented by being ranked with calculated means of sub-factors for each question. Finally, based on the results, suggestions for building a Metaverse platform for educational purpose are stated and limitations of the study and possible future study are discussed.

• Journal of Platform Technology
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• v.10 no.4
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• pp.47-55
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• 2022

Recently, diverse devices using different wireless technologies are gradually increasing in the IoT environment. In particular, it is essential to design an efficient feature extraction approach and detect the exact types of radio signals in order to accurately identify various radio signal modulation techniques. However, it is difficult to gather labeled wireless signal in a real environment due to the complexity of the process. In addition, various learning techniques based on deep learning have been proposed for wireless signal classification. In the case of deep learning, if the training dataset is not enough, it frequently meets the overfitting problem, which causes performance degradation of wireless signal classification techniques using deep learning models. In this paper, we propose a generative adversarial network(GAN) based on data augmentation techniques to improve classification performance when various wireless signals exist. When there are various types of wireless signals to be classified, if the amount of data representing a specific radio signal is small or unbalanced, the proposed solution is used to increase the amount of data related to the required wireless signal. In order to verify the validity of the proposed data augmentation algorithm, we generated the additional data for the specific wireless signal and implemented a CNN and LSTM-based wireless signal classifier based on the result of balancing. The experimental results show that the classification accuracy of the proposed solution is higher than when the data is unbalanced.

• Journal of the Korean Society for information Management
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• v.40 no.1
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• pp.1-21
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• 2023

This study specifically reviewed the performance of the ranking schemes as an efficient feature selection method for text classification. Until now, feature ranking schemes are mostly based on document frequency, and relatively few cases have used the term frequency. Therefore, the performance of single ranking metrics using term frequency and document frequency individually was examined as a feature selection method for text classification, and then the performance of combination ranking schemes using both was reviewed. Specifically, a classification experiment was conducted in an environment using two data sets (Reuters-21578, 20NG) and five classifiers (SVM, NB, ROC, TRA, RNN), and to secure the reliability of the results, 5-Fold cross-validation and t-test were applied. As a result, as a single ranking scheme, the document frequency-based single ranking metric (chi) showed good performance overall. In addition, it was found that there was no significant difference between the highest-performance single ranking and the combination ranking schemes. Therefore, in an environment where sufficient learning documents can be secured in text classification, it is more efficient to use a single ranking metric (chi) based on document frequency as a feature selection method.

• Economic and Environmental Geology
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• v.57 no.4
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• pp.353-362
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• 2024

This study examined the spectral characteristics of sediments according to moisture content using an unmanned aerial vehicle (UAV)-based hyperspectral sensor and evaluated the efficiency of moisture content detection at different flight altitudes. For this purpose, hyperspectral images in the 400-1000nm wavelength range were acquired and analyzed at altitudes of 40m and 80m for sediment samples with various moisture contents. The reflectance of the sediments generally showed a decreasing trend as the moisture content increased. Correlation analysis between moisture content and reflectance showed a strong negative correlation (r < -0.8) across the entire 400-900nm range. The moisture content detection model constructed using the Random Forest technique showed detection accuracies of RMSE 2.6%, R² 0.92 at 40m altitude and RMSE 2.2%, R² 0.95 at 80m altitude, confirming that the difference in accuracy between altitudes was minimal. Variable importance analysis revealed that the 600-700nm band played a crucial role in moisture content detection. This study is expected to be utilized in efficient sediment moisture management and natural disaster prediction in the field of environmental monitoring in the future.

• Journal of Information Technology Applications and Management
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• v.13 no.3
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• pp.29-57
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• 2006

Small and medium-sized companies (SMEs) face a number of different kinds of barriers to adopt information technology, including the lack of information, limited financial and technical resources, and absence of the well-trained work force in the realm of information technology. But application service provider (ASP)enables these SMEs to informatize. This paper is focused on studying the cases of the adoption and use of the ASP-based ERP systems that 7 SME shad adopted. The factors that influence the adoption and use of SMEs' ASP-based ERP systems are divided into the user companies that adopted the systems, the systems vendors, and environment. From the viewpoint of the user company, the successful adoption and use of the systems is significantly influenced by the clear motive of adopting the systems, the financial readiness, and the strong intention of CEO for pushing ahead with e-Business. From the systems vendor, it is influenced by the technical expertise of the vendor, the knowledge of the user company, and the experience of the systems development. From the perspective of environment, it is influenced by the push from the players in the value chains. The companies that had adopted the ASP-based ERP systems and that had extended the level of systems use had the benefits through reducing the cost, improving the internal business process, and achieving the learning and growth of the organization.

• Journal of The Korean Association For Science Education
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• v.21 no.1
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• pp.30-37
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• 2001

The importance of integrated approach have increased gradually in science education. But most of researches on integrated science have been based on the structure of science and epistemology. The investigations of students' psychological science domains are needed for effectiveness of integrated science in science curriculum and classrooms. In this study, for exploration of elementary school students' psychological science domains and their properties, students(N=96) were asked to classify scientific words presented on textbooks in several categories. Many psychological science domains were revealed. Among them, the domains that were over 20% are 'Electricity', 'The human body', 'The earth', 'Energy', 'Plant', 'Animal', 'Environment', 'Living things', 'Weather', 'Flower'. According to the results from analysis on the words that students presented in each domains, the participants hold strongly the relationships caused by everyday experiences. For example, 'light' and 'heat' showed high frequency in 'Electricity' domain and 'The human body' domain included 'force' and 'motion' in high frequency. The most inclusive domain was 'The earth'. Not only the words on earth science but also biological and chemical words were classified in this domain. So The integration that centered with 'The earth' domain looks correspond to the elementary school students' psychological aspect.

• Journal of The Korean Association For Science Education
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• v.34 no.6
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• pp.549-558
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• 2014

Integrated concepts that are broad enough to embrace facts, principles, laws, and concepts of multiple disciplines could become the core of integrated education. Integrated concept-centered education enables effective and practical learning. In this study, the Delphi Method was implemented targeting experts in science (physics, life science, chemistry, and earth science) and humanities (history, geology, economics, ethics, and politics) to find out the integrated concept that can be used to design the concept-centered integrated education in the Republic of Korea. 124 experts participated in this survey. Delphi survey was conducted for three rounds. In the first round, an open questionnaire was given to experts to collect feasible integrated concepts in each major field. Then, in the second round experts were asked to select integrated concepts that could be used practically in the field of their major. In the third round, the integrated concept with selection frequency over medium value were given. They were asked to evaluate the applicability of integrated concepts by using the Likert-scale questionnaire. Through this process, content validity was analyzed. As a result, five integrated concepts (change, interaction, space-time, energy, and equilibrium) were selected for the inter-science integration. And thirteen integrated concepts (conflict, community, relationship, structure, power, diversity, culture, change, society, interaction, freedom, justice, and equality) were chosen for the inter-humanities integration. Finally, for the science-humanities integration, seven integrated concepts (structure, diversity, change, interaction, cycle, system, and environment) were determined.

• Journal of Gifted/Talented Education
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• v.25 no.5
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• pp.731-747
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• 2015

The purpose of this RSP program is to enhance the invention gifted students' creative thinking and self-efficacy in studying. This program has 20 subcategories and interesting activities attracting students' attentions which are based on TRIZ's 40 principles of invention. 3-Steps to learning, which are - experiencing, recognizing, and inventing are arranged as teaching methods of RSP program. In the first step, experiencing, students are motivated and get a glimpse of the principles of invention while experiencing innovative products. In the next step, recognizing, students grasp the related scientific principles from the products. In the last step, inventing, students are given keys to solutions for problematic situations and then they create new ideas after repetitive encounters with several products made by similar principles. RSP program is different from other programs in that it has this 'inventing' step, where students can create new ideas based on related basic knowledge. In conclusion, RSP program is systematically well organized with 4 steps(purpose, contents, teaching method and evaluation) and is shown to enhance invention gifted students' creativity and self efficacy in studying. Therefore, the RSP program is shown to be a reliable and useful program, and may be used in the classes for positive results.

• Journal of Korea Entertainment Industry Association
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• v.15 no.1
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• pp.207-220
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• 2021

The purpose of the study is to investigate the application and utility of emergency rescue education and derive limitations, improvements and development directions of university education based on the field experience of 119 emergency medical technician(EMT)s. The research subjects were six new 119 emergency medical technician(EMT)s within three years of starting their first-aid service in the field. After conducting in-depth narrative interviews, the analysis was performed using Colaizzi method. The 82 formulated meanings were derived from significant statements. From formulated meanings, 23 themes, 4 theme clusters, 2 categories were identified. The four theme clusters were 'The effectiveness of university education', 'The limitations of university education', 'The direction of improvement in educational methodology' and 'The direction of improvement in educational contents. University education has been helpful overall, but limitations are observed at the same time, suggesting that it should be developed through the improvement of educational methodologies (i.e. problem-based learning, field case review, education through role-playing, simulation education, strengthening skill ect.) and educational content (i.e. training tailored to the field, education focused on trauma or cardiac arrest, expansion of triage education in disaster management, reinforcement of education on-site safety, education on special patients, diverse guidance and faculty for different perspectives).

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.39 no.6
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• pp.363-369
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• 2021

High-definition road maps are used as the basic infrastructure for autonomous vehicles, so the latest road information must be quickly reflected. However, the current drawing and structural editing process of high-definition road maps are manually performed. In addition, it takes the longest time to generate road lanes, which are the main construction targets. In this study, the point cloud of the road lane markings, in which color types(white, blue, and yellow) were predicted through the PointNet model pre-trained in previous studies, were used as input data. Based on the point cloud, this study proposed a methodology for automatically drawing and structural editing of the layer of road lane markings. To verify the usability of the 3D vector data constructed through the proposed methodology, the accuracy was analyzed according to the quality inspection criteria of high-definition road maps. In the positional accuracy test of the vector data, the RMSE (Root Mean Square Error) for horizontal and vertical errors were within 0.1m to verify suitability. In the structural editing accuracy test of the vector data, the structural editing accuracy of the road lane markings type and kind were 88.235%, respectively, and the usability was verified. Therefore, it was found that the methodology proposed in this study can efficiently construct vector data of road lanes for high-definition road maps.