• Journal of the Earthquake Engineering Society of Korea
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• v.25 no.6
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• pp.261-266
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• 2021

Nuclear power plants in Korea were designed and evaluated based on the NRC's Regulatory Guide 1.60, a design response spectrum for nuclear power plants. However, it can be seen that the seismic motion characteristics are different when analyzing the Gyeongju earthquake and the Pohang earthquake that has recently occurred in Korea. Compared to the design response spectrum, seismic motion characteristics in Korea have a larger spectral acceleration in the high-frequency region. Therefore, in the case of equipment with a high natural frequency installed in a nuclear power plant, seismic performance may be reduced by reflecting the characteristics of domestic seismic motions. The failure modes of the equipment are typically structural failure and functional failure, with an anchorage failure being a representative type of structural failure. In this study, comparative analyses were performed to decide whether to consider the inelastic behavior of the anchorage or not. As a result, it was confirmed that the seismic performance of the anchorages could be increased by considering the inelastic behavior of an anchorage.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.39 no.6
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• pp.599-607
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• 2021

Street-view images, which are omnidirectional scenes centered on a specific location on the road, can provide various obstacle information for the pedestrians. Pedestrian network data for the navigation services should reflect the up-to-date obstacle information to ensure the mobility of pedestrians, including people with disabilities. In this study, the object detection model was trained for the bollard as a major obstacle in Seoul using street-view images and a deep learning algorithm. Also, a process for updating information about the presence and number of bollards as obstacle properties for the crosswalk node through spatial matching between the detected bollards and the pedestrian nodes was proposed. The missing crosswalk information can also be updated concurrently by the proposed process. The proposed approach is appropriate for crowdsourcing data as the model trained using the street-view images can be applied to photos taken with a smartphone while walking. Through additional training with various obstacles captured in the street-view images, it is expected to enable efficient information update about obstacles on the road.

• The Journal of the Convergence on Culture Technology
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• v.9 no.4
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• pp.161-170
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• 2023

In this study, our primary focus was on preserving the unique characteristics inherent to the medium of printmaking art, such as cultural implications and formal features, during the digital transformation of traditional printmaking. We investigated methods to incorporate augmented reality (AR) technology into the creation process of traditional printmaking. To help understand the intended fusion of traditional printmaking art and AR technology in this digital transition era, we categorized AR artworks into four types and conducted an analysis of various AR artwork examples from across the globe. From this analysis, we derived the methodologies and design directions for combining AR technology with traditional printmaking. Moreover, we created an AR printmaking piece based on the author's artwork "Spring, Summer, Fall, Winter," thereby demonstrating the significant role AR technology can play in the evolution of printmaking. Through this research, we were able to verify the potential and value of AR printmaking as an immersive art form capable of providing a more expansive narrative.

• Journal of Digital Convergence
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• v.15 no.6
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• pp.133-143
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• 2017

Data is the most important asset in the financial sector. On average, 71 percent of financial institutions generate competitive advantage over data analysis. In particular, in the card industry, the card transaction data is widely used in the development of merchant information, economic fluctuations, and information services by analyzing patterns of consumer behavior and preference trends of all customers. However, creation of new value through fusion of data is insufficient. This study introduces the analysis and forecasting of consumption trends of credit card companies which convergently analyzed the social data and the sales data of the company's own. BC Card developed an algorithm for linking card and social data with trend profiling, and developed a visualization system for analysis contents. In order to verify the performance, BC card analyzed the trends related to 'Six Pocket' and conducted th pilot marketing campaign. As a result, they increased marketing multiplier by 40~100%. This study has implications for creating a methodology and case for analyzing the convergence of structured and unstructured data analysis that have been done separately in the past. This will provide useful implications for future trends not only in card industry but also in other industries.

• The Journal of the Convergence on Culture Technology
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• v.9 no.6
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• pp.1173-1178
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• 2023

In modern society, there is a tendency to emphasize efficiency and lead to detailed planning of team projects and individual tasks within organizations. In a 24-hour routine, the ability to use time effectively is considered an indicator of conscientiousness, and people try to imitate planned and organized people and utilize various systems to manage their daily lives. The reason why you want to perform a given task efficiently is because it affects the success or failure of the project by completing the task within a set period of time. Neglecting the project schedule is considered a major risk that threatens a successful outcome. This applies not only to large-scale organizational projects but also to individual life, and utilizes a variety of schedule management tools that emphasize time-based efficient management. In project management, it is necessary to carefully understand the detailed work progress rather than simply based on Today. In this paper, we propose an Android application that can manage schedules by accessing the user's project in units of tasks rather than dates, and introduce its implementation. The application we implemented in this paper can manage the project's goals and schedule by registering the project to which the user belongs. In addition, it provides the ability to approach work efficiently by visualizing the progress of the entire project or individual goals. As a result, users can use the application we propose in this paper to focus on their projects and manage schedules by task, thereby improving the overall efficiency of the project.

• Korean Journal of Remote Sensing
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• v.36 no.5_2
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• pp.989-1006
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• 2020

Building change monitoring based on building detection is one of the most important fields in terms of monitoring artificial structures using high-resolution multi-temporal images such as CAS500-1 and 2, which are scheduled to be launched. However, not only the various shapes and sizes of buildings located on the surface of the Earth, but also the shadows or trees around them make it difficult to detect the buildings accurately. Also, a large number of misdetection are caused by relief displacement according to the azimuth and elevation angles of the platform. In this study, object-based building detection was performed using the azimuth angle of the Sun and the corresponding main direction of shadows to improve the results of building change detection. After that, the platform's azimuth and elevation angles were used to detect changed buildings. The object-based segmentation was performed on a high-resolution imagery, and then shadow objects were classified through the shadow intensity, and feature information such as rectangular fit, Gray-Level Co-occurrence Matrix (GLCM) homogeneity and area of each object were calculated for building candidate detection. Then, the final buildings were detected using the direction and distance relationship between the center of building candidate object and its shadow according to the azimuth angle of the Sun. A total of three methods were proposed for the building change detection between building objects detected in each image: simple overlay between objects, comparison of the object sizes according to the elevation angle of the platform, and consideration of direction between objects according to the azimuth angle of the platform. In this study, residential area was selected as study area using high-resolution imagery acquired from KOMPSAT-3 and Unmanned Aerial Vehicle (UAV). Experimental results have shown that F1-scores of building detection results detected using feature information were 0.488 and 0.696 respectively in KOMPSAT-3 image and UAV image, whereas F1-scores of building detection results considering shadows were 0.876 and 0.867, respectively, indicating that the accuracy of building detection method considering shadows is higher. Also among the three proposed building change detection methods, the F1-score of the consideration of direction between objects according to the azimuth angles was the highest at 0.891.

• Journal of Digital Convergence
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• v.13 no.8
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• pp.69-82
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• 2015

This article critically examines the backgrounds and meanings of National Competency Standards (NCS) that is employed by Korean colleges for managing performance-based, competency-based curriculum. Findings are as follows: 1) the NCS-based curriculum was primarily adopted to enhance students' business competency for their successes in a competitive job market. 2) NCS is questioned its efficacy to resolve Korean employment issues in a serious economic structure in which a growing number of jobless youth and aged employees and education discrimination are involved. 3) NCS, with its emphasis on the Tyler Rationale and principles of scientific curriculum development, has many criticisms due to its technical approaches to educational processes and needs to be replaced with an alternative paradigm. 4) This article suggests that administrators, policy makers, and educators seek ways to resolve NCS issues considering contextual features of Korean job market and rethinking NCS ideology in the education process. A need for curriculum reconceptualisation is discussed.

• Journal of the Korea Convergence Society
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• v.3 no.1
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• pp.27-34
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• 2012

After Fukushima Nuclear Accident on Mar11, 2011, to grasp the thought of university students in Korea on radiation and medical radiation and seek for the right mass communication on the radiation safety of the people and the proper teaching method on radiation, 790 questionnaires from the universities which had a four-year department of radiological science in 5 provinces(Gyeonggi, Gangwon, Chungcheong, Jeolla, and Gyeongsang-do) all over the country were collected and analyzed. The questionnaire was composed of 36 items, and it was analyzed that one of the important causes that made them feel that radiation was dangerous was 'even if they were exposed to the small quantity of radiation, they could have trouble later.' ($3.28{\pm}1.05$). In the item of the control of radiation, there were the respondents who answered that the government should take action rather than an individual($3.87{\pm}0.89$). In the item of 'Fukushima Nuclear Accident made me think that 'We should not keep nuclear power generation', the result was $2.79{\pm}0.95$. In the item of 'My thought on the medical radiation has negatively changed since Fukushima Nuclear Accident', the students who hadn't taken the course related with radiation showed a negative thought on the medical radiation, such as, there was $2.64{\pm}1.02$ as a whole, $2.31{\pm}1.00$ in department of radiological science, $2.94{\pm}0.95$ in department of dental hygiene, and $3.13{\pm}0.82$ in other departments. And also, those who thought that the education of radiation was necessary were 82.28%, and T.V or Internet was thought as the most effective teaching method.

• Journal of the Korea Convergence Society
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• v.8 no.9
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• pp.301-309
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• 2017

This study analyzed the effect of cooperation activities among SMEs. In order to study empirical analysis, we classified the types of cooperation into four dimensions: technology cooperation, human resource cooperation, sales cooperation and financial cooperation. Review the role of the collaborative philosophy as a predictor. This study also analyzed the relationship between cooperation philosophy, cooperation activities and performance. The results of this study are as follows: First, the result of path analysis between cooperation philosophy and cooperation activities shows that cooperation philosophy has an important influence on technical cooperation, human resource cooperation, sales cooperation and financial cooperation. Second, the results of the relationship between cooperation activities and achievements, technical cooperation, human resource cooperation, and sales cooperation have an important influence on cooperation performance. The meaning of this study is as follows. Analyze empirical tests using the PSBP model from a partnership perspective. We are trying to verify the relationship with SMEs. Therefore, we can suggest a beneficial implication to explain the importance of cooperation activities between SMEs. Also, SME business units have a problem with technical information leakage when they form partnerships, but in order to overcome this problem, we can use cooperative philosophies and avoid negative views.

• The Journal of the Convergence on Culture Technology
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• v.10 no.2
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• pp.517-524
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• 2024

This study aims to train and implement a deep learning model for the fusion of website creation and artificial intelligence, in the era known as the AI revolution following the launch of the ChatGPT service. The deep learning model was trained using 3,000 collected web page images, processed based on a system of component and layout classification. This process was divided into three stages. First, prior research on AI models was reviewed to select the most appropriate algorithm for the model we intended to implement. Second, suitable web page and paragraph images were collected, categorized, and processed. Third, the deep learning model was trained, and a serving interface was integrated to verify the actual outcomes of the model. This implemented model will be used to detect multiple paragraphs on a web page, analyzing the number of lines, elements, and features in each paragraph, and deriving meaningful data based on the classification system. This process is expected to evolve, enabling more precise analysis of web pages. Furthermore, it is anticipated that the development of precise analysis techniques will lay the groundwork for research into AI's capability to automatically generate perfect web pages.