• Journal of the Korea Institute of Information Security & Cryptology
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• v.31 no.6
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• pp.1261-1266
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• 2021

Existing information security risk assessment methods focus on evaluating the vulnerability of information assets. However, when the form of information assets changes and new types of information assets emerge, there is a limitation in that the evaluation standards for them are also added or deleted. Existing methods have insufficient research on the path through which cyber threats are introduced. In particular, there is very little research on blocking the inflow path for web-based information systems with public IPs. Therefore, this paper introduces the main research contents of the BDLA (Blockade and Defense Level Analysis)-based information security risk assessment model. In addition, by applying the BDLA-based information security risk assessment model, the information security risk level was studied by measuring the blockade level and security equipment level of 17 public institutions.

• The Journal of the Korea Contents Association
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• v.19 no.8
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• pp.44-57
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• 2019

As dance performances in the theater space are centered on text, they have plots and make characters stand out. They also emphasize expressivity and technique, and their recognition of space is very modern and typical of dichotomous Cartesian thinking. The museum space has many similarities with the theater space in that it is a result of modernity and granted authority to present arts. The performances in museums place value more on the presence than on the representation. For this reason, works in museums, which are frequently presented in recent years, are mainly works of site-specific or performative concepts. Now, rather than being able to obtain from aesthetics defined as works, the museum is assured its own aesthetic production and justification, paying attention to the performance as an event occurring now and here.

• The Journal of Korean Association of Computer Education
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• v.22 no.3
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• pp.135-146
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• 2019

Big data analysis is actively used for collecting and analyzing direct information on related topics in each field of society. Applying big data analysis technology in education field is increasingly interested in Korea, because applying this technology helps to identify the effectiveness of education methods and policies and applying them for policy formulation. In this paper, we propose our approach of utilizing big data analysis technology in education field. We focus on free semester program, one of the current core education policies, and we analyze the main points of interests and differences in the free semester through analysis and visualization of texts that are written on the operation reports prepared by each school. We compare regional differences in key characteristics and interests based on the free semester operation reports from middle schools particularly at Seoul and Gangwon-do regions. In conclusion, applying and utilizing big data analysis technology according to the needs and requirements of education field is a great significance.

• Journal of the Korea Society for Simulation
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• v.28 no.2
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• pp.89-95
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• 2019

This paper introduces the simulation concepts and technical approach of underwater weapon system performance analysis simulator, especially focused on probabilistic target detection concepts. We calculated the signal excess (SE) value using SONAR equation, then derived the probability density function(PDF) for target presence($H_1$) or absence($H_0$) cases, respectively. With the Neyman-Pearson detector criterion, we got the probability of detection($P_D$) while satisfying the given probability of false alarm($P_{FA}$). At every instance of simulation, target detection is decided in the probabilistic perspective. With the proposed detection implementation, we improved the model fidelity so that it could support the tactical decision during the operation.

• Journal of the Korean Data Analysis Society
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• v.20 no.6
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• pp.3049-3067
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• 2018

Although there is a growing body of research on organizational commitment profiles based on a person-centered approach, it is not widely applied to the commitment research conducted by Korean organizational scholars yet. Therefore, in this paper, we introduced the concept and analytical methods, such as cluster analysis and latent profile analysis (LPA), of the person-centered approach. In addition, we also performed both cluster analysis and LPA to identify types of organizational commitment profiles of Korean employees based on the combination of affective, continuance and normative commitment on the sample from a range of different fields in South Korea (n = 349). Both analyses extracted two comparable sets of 6 commitment profiles. These six profiles were then contrasted with employee turnover intention. Finally, implications for commitment theory, practices and future research issues were discussed.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.21 no.3
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• pp.7-14
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• 2021

The emergence of the automated smart grid has become an essential device for responding to these problems and is bringing progress toward a smart grid-based society. Smart grid is a new paradigm that enables two-way communication between electricity suppliers and consumers. Smart grids have emerged due to engineers' initiatives to make the power grid more stable, reliable, efficient and safe. Smart grids create opportunities for electricity consumers to play a greater role in electricity use and motivate them to use electricity wisely and efficiently. Therefore, this study focuses on power demand management through machine learning. In relation to demand forecasting using machine learning, various machine learning models are currently introduced and applied, and a systematic approach is required. In particular, the GP learning model has advantages over other learning models in terms of general consumption prediction and data visualization, but is strongly influenced by data independence when it comes to prediction of smart meter data.

• The Journal of the Korea Contents Association
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• v.21 no.7
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• pp.448-458
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• 2021

As the fourth industrial revolution accelerates, universities have made great efforts to develop and reform creative convergence courses for improving the students' creative convergence capabilities. Although various subjects such as "Capstone" and "Design Thinking" to the improvement of students' creative convergence competences, many courses focus on creativity education in the direction of creating new products or outputs such as engineering, design, and art, so there is still a lack of systematic education and subjects on creative convergence capabilities from a humanities and sociological perspective. In order to overcome their limitations of creative courses, "H" University developed a 'Imaginative Innovators' class with the purpose of solving creative problems on social issues related to sciences, culture, politics, economics, and so on. In this study, we introduced the purpose, methodology, students' best practices etc. of the "Imaginative innovator" course. In addition, we discussed the limitations and complements as well as the advantages and possibilities of the course. These findings are expected to contribute to the development and expansion of creativity education.

• Journal of The Korean Association of Information Education
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• v.25 no.6
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• pp.987-994
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• 2021

Computational Thinking is an analytical thinking ability that is necessary for everyone and everywhere. The existing Computational Thinking development education provided in Practical textbooks leads to block-based programming languages from unplugged activities. Many unplugged activities focus on practicing sequential order, which may lack the learning of abstractions or automation concepts. In block-based programming languages, concepts such as coordinate planes, which are not introduced in elementary school curriculum, appear, making students feel burdened by the block-based programming language itself. In this study, a curriculum was designed for elementary student's computational thinking through game-based programming language education. The results and their effectiveness were analyzed through the beaver challenge. As a result of analyzing the pre-test and post-test scores, it was confirmed that students' computational thinking skills improved.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.22 no.3
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• pp.1-8
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• 2022

Recently, Google MedeiaPipe presents a novel approach for neural network-based hair segmentation from a single camera input specifically designed for real-time, mobile application. Though neural network related to hair segmentation is relatively small size, it produces a high-quality hair segmentation mask that is well suited for AR effects such as a realistic hair recoloring. However, it has undesirable segmentation effects according to hair styles or in case of containing noises and holes. In this study, the energy function of the test image is constructed according to the estimated prior distributions of hair location and hair color likelihood function. It is further optimized according to graph cuts algorithm and initial hair region is obtained. Finally, clustering algorithm and image post-processing techniques are applied to the initial hair region so that the final hair region can be segmented precisely. The proposed method is applied to MediaPipe hair segmentation pipeline.

• Korean Journal of Clinical Laboratory Science
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• v.55 no.3
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• pp.219-226
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• 2023

Transcranial doppler ultrasonography (TCD) applies a low frequency of 2 MHz to measure the blood flow velocity and waveform within the skull. Medical technologists at several hospitals are conducting these examinations, and education is being imparted in many schools and academic societies. However, the skill of the tester is of utmost importance when performing TCD. Technicians who are conducting the procedure for the first time have trouble locating the blood vessels, and some experienced personnel are worried because too many blood vessels are present. Since this procedure does not directly look at and measure blood vessels, there are several limitations and difficulties. Therefore, this study aims to provide some help by introducing precautions and suggestions for TCD technicians conducting the test.