• Journal of Korean Society of Disaster and Security
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• v.15 no.3
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• pp.79-88
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• 2022

Cable-supported bridges, as important large infrastructures, require a long-term and systematic maintenance strategy. In particular, various methods have been proposed to secure safety for the bridges, such as installing various types of sensor on members in the bridges, and setting management thresholds. It is evidently necessary to propose a strategic plan to efficiently manage increasing number of cable-supported bridges and data collected from a number of sensors. This study aims to develop an analysis tool that can automatically remove abnormal signals and calculate statistical results for the purpose of efficiently analyzing a wide range of data collected from a long span bridge measurement system. To develop the tool, basic information such as the types and quantity of sensors installed in long span bridges and signal characteristics of the collected data were analyzed. Thereafter, the Humpel filtering method was used to determine the presence or absence of an abnormality in the signal and then filtered. The statistical results with filtered data were shown. Finally, one cable-stayed bridge and one suspension bridge currently in use were chosen as the target bridges to verify the performance of the developed tool. Signal processing and statistical analysis with the tool were performed. The results are similar to the results reported in the existing work.

• Disaster Prevention Review
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• v.18 no.1
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• pp.63-75
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• 2016

• Journal of Korean Society of Disaster and Security
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• v.15 no.4
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• pp.31-38
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• 2022

In the case of special bridges whose superstructure is supported by cables, there are many blind spots that are difficult to access without special equipment and personnel. As a result, there are difficulties in the safety inspection of special bridges. The purpose of this study is to review the inspection blind spots of cable-supported bridges such as cable-stayed bridges and suspension bridges, and to study ways to eliminate blind spots using drones. To this end, the cables, stiffened girder, and pylons of the cable-stayed bridge located in the sea were inspected using drones. Through this study, it was confirmed that external safety inspection of special bridges that are difficult for inspectors to access is possible using drones. In particular, drone inspection to check the external condition and damage of the pylon, which is a blind spot for inspection of special bridges, is a very effective safety inspection method.

• The Journal of the Convergence on Culture Technology
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• v.10 no.4
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• pp.271-283
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• 2024

The study seeks to examine the alignment between the Model of Human Occupation (MOHO) and the Six Principles of the Individuals with Disabilities Education Act (IDEA) through qualitative analysis. The study utilizes a qualitative methodology that entails a comprehensive review of the existing literature to establish connections between MOHO and Individuals with Disabilities Education Act (IDEA) principles, with a specific focus on collaborative special education environments. Data collection involves examining academic literature on MOHO, Individuals with Disabilities Education Act (IDEA) principles, and the partnership between occupational therapists and special education teachers. Thematic analysis is employed to identify recurrent themes and relationships, offering valuable insights into the theoretical foundations of MOHO and its compatibility with the Individuals with Disabilities Education Act (IDEA)The Model of Human Occupation (MOHO) highlights the significance of active engagement and meaningful participation in inclusive education. It promotes the development of independence and self-determination in occupational performance for children with special needs. Moreover, MOHO stresses the importance of offering tailored support and adjustments for these children.

• Journal of Korean Society of Disaster and Security
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• v.16 no.4
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• pp.129-136
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• 2023

A special offshore bridge with a high pylon has special structural features.Special offshore bridges have inspection blind spots that are difficult to visually inspect. To solve this problem, safety inspection methods using drones are being studied. In this study, image data of the pylon of a special offshore bridge was acquired using a drone. In addition, an artificial intelligence algorithm was developed to detect damage to the pylon surface. The AI algorithm utilized a deep learning network with different structures. The algorithm applied the stacking ensemble learning method to build a model that formed the ensemble and collect the results.

• Journal of Music and Human Behavior
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• v.16 no.1
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• pp.89-117
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• 2019

The purpose of this study was to explore and better understand special education music teachers' perceptions of their music curriculum. For this purpose, we conducted a focus group interview with seven special education music teachers. During the interview, four major themes and 14 sub-themes were identified. The main themes were the following: (a) types of applied activities and the goals of music classes (e.g., activities to be applied in various ways depending on the characteristics of the disability and intended outcome), (b) difficulty in implementing the music curriculum (e.g., lack of fit between textbook and students' chronological ages, lack of time and focus, self-evaluation of performance as a music teacher, (c) therapeutic experiences during music classes (e.g., expectation for positive effects through music therapy, joy of witnessing changes in students, and sense of togetherness), and (d) obstacles to the therapeutic approach of music classes and need for support (e.g., lack of professional knowledge regarding therapeutic approaches and problems with administrators and school environment). Based on these results, problems in implementing the music therapy approach as part of the music curriculum in special education schools are discussed and practical solutions for educators are offered.

• Defense and Technology
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• no.4 s.182
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• pp.36-45
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• 1994

미국 특수전투단에 속해 있는 컴퓨터 바이러스 전투단은 걸프전시 이라크의 미사일망을 교란 시킬 목적으로 컴퓨터 바이러스를 그들의 컴퓨터에 투입하여 물리적인 폭탄보다도 더 위력적인 효과를 발휘하여 연합군의 공격이 감행되었을 때 효과적으로 이라크의 레이다망을 억제하였다.

• 한국도로학회:학술대회논문집
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• 2010.03a
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• pp.229-234
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• 2010

• Computational Structural Engineering
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• v.28 no.2
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• pp.52-57
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• 2015

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.6
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• pp.664-668
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• 2018

Free-standing structures that are especially high are more likely to receive brain attacks caused by lightning. Since special structures are generally part of national industrial structures, lightning strikes mostly cause socio-economic damage. Lightning protection facilities are installed to prevent such lightning damage, but in 2015, support cables on West Sea bridges were hit by lightning, causing a lot of economic damage. Accordingly, the design of a lightning protection system shall establish protective measures after analyzing the risk of debris falling onto the structure. In this thesis, lightning strikes are analyzed directly in relation to the modeling system that operates the actual information collection system for lightning strikes, depending on the location of the tall, free-standing structures, and practical lightning hazard information is provided by a meteorological station. In addition, we propose monitoring and applying a probability correction rate to the calculation of the lightning risk based on the number of lightning strikes directly reaching the ground in order to obtain an effective lightning risk assessment.