• Journal of Korean Home Economics Education Association
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• v.34 no.3
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• pp.67-83
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• 2022

This study was designed to develop a sustainable clothing life education program for middle school students and to analyze the effects of the developed program on the "Change-maker" characteristics of adolescents. This study proceeded following the ADDIE teaching design model. The learning activities in the middle school Technology and Home Economics textbooks were analyzed according to the steps of the Change-maker education program. Based on the analyzed results, the sustainable clothing life education program entitled 'Clothes for us, actions for the earth' which includes ten teaching and learning process plans, 17 individual learning activity sheets, and seven group learning activity sheets was developed. The developed program was implemented on 285 first-year students in K middle School in Ulsan. After the class, the level of Change-maker characteristics of the students increased from 3.87(SD=.54) to 4.59(SD=.64). From the interviews of the students, it was also found that the developed program influenced the values and behaviors of the students. Therefore it was confirmed that the Education for Sustainable Development(ESD) program on clothing life in middle school Home Economics developed based on the Change-maker education program stage was effective in cultivating the Change-maker characteristics of adolescents.

• Journal of Internet Computing and Services
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• v.23 no.5
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• pp.47-58
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• 2022

In recent years, navigation aids, which plays as sea traffic lights, have been digitized, and are developing beyond simple sign purpose to provide various functions such as marine information collection, supervision, control, etc. For example, Busan Port which is located in South Korea is leading the application of the advanced technologies by installing cameras on buoys and recording video images to supervise maritime accidents. However, there are difficulties to perform their major functions since the advanced technologies require long-term battery operation and also management and maintenance of them are hampered by marine characteristics. This study proposes a system that can automatically notify maritime objects passing around buoys by analyzing image information. In the existing sensor-based accident prevention systems, the alarms are generated by a collision detection sensor. The system can identify the cause of the accident whilst even though it is difficult not possible to fundamentally prevent the accidents. Therefore, in order to overcome these limitations, the proposed a maritime object detection system is based on marine characteristics. The experiments demonstrate that the proposed system shows about 5 times faster processing speed than other existing algorithms.

• Korean Journal of Remote Sensing
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• v.38 no.5_2
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• pp.765-779
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• 2022

This study evaluates the accuracy in identifying the burned area in South Korea using multi-temporal data from Sentinel-2 MSI and Landsat 8/9 OLI. Spectral indices such as the Difference Normalized Burn Ratio (dNBR), Relative Difference Normalized Burn Ratio (RdNBR), and Burned Area Index (BAI) were used to identify the burned area in the March 2022 forest fire in Uljin. Based on the results of six indices, the accuracy to detect the burned area was assessed for four satellites using Sentinel-2 and Landsat 8/9, respectively. Sentinel-2 and Landsat 8/9 produce images every 16 and 10 days, respectively, although it is difficult to acquire clear images due to clouds. Furthermore, using images taken before and after a forest fire to examine the burned area results in a rapid shift because vegetation growth in South Korea began in April, making it difficult to detect. Because Sentinel-2 and Landsat 8/9 images from February to May are based on the same date, this study is able to compare the indices with a relatively high detection accuracy and gets over the temporal resolution limitation. The results of this study are expected to be applied in the development of new indices to detect burned areas and indices that are optimized to detect South Korean forest fires.

• Journal of Korea Port Economic Association
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• v.37 no.2
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• pp.33-53
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• 2021

This study estimated the economic value of port redevelopment projects. The port redevelopment project consists of a combination of goods between market goods and non-market goods. The value of market goods can be measured at prices in the real market, but it is difficult to convert value estimates for non-market goods into currency values. Therefore, in this study, economic benefits of port redevelopment projects were estimated by the using the CVM. The estimated model used the Hanemann's model and the Bayesian approach to estimate the WTP of the sample group's using the single boundary model. Estimating the household's WTP, the Hanemann's model was estimated at KRW 10,038.33 and the Bayesian approach at KRW 12,217.1. As of the five-year period(discount benefits), the economic benefits of the port redevelopment project were estimated at 920.7 billion won for the Hanemann's model and 1.12 trillion won for the Bayesian model on a national basis. Meanwhile, as a result of estimating economic benefits(discount benefits) based on the administrative districts of Busan·Gyeongnam·Ulsan regions(five-year period), the Hanemann's model was estimated at KRW 140.4 billion and the Bayesian approach was estimated at KRW 170.8 billion.

• Journal of the Korean Society of Radiology
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• v.16 no.7
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• pp.863-870
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• 2022

DLG (Dosimetric Leaf Gap) and transmission factor are important parameters of MLC modeling in treatment planning system. In this study, DLG and transmission factor of HD-MLC were measured using detector with different measuring volumes, and the accuracy of the treatment plans was evaluated according to the DLG values. DLG was measured using the dynamic sweeping gap method with Semiflux3D and MicroDiamond detectors. Then, 10 radiation treatment plans were generated to optimize the DLG value and compared with the measurement results. Photon energies 6, 8, 10 MV, the DLG measured by Semiflux3D were 0.76, 0.83, and 0.85 mm, and DLG measured by MicroDiamond were 0.78, 0.86, and 0.9 mm. All plans were measured by portal dosimetry and analyzed using Gamma Evaluation. In the 6 MV photon beams, the average gamma passing rate were 94.3% and 98.4% for DLG 0.78 mm and 1.15 mm. In the 10 MV photon beam, the average gamma passing rate were 91.2% and 97.6% for DLG 0.9 mm and 1.25 mm. HD-MLC needs accurate modeling in the treatment planning system. DLG could be used measured data using small volume detector. However, for better radiation therapy, DLG should be optimized at the commissioning stage of LINAC.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.42 no.6
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• pp.763-773
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• 2022

Industrial and environmental facilities, which are national growth engine, must sustain their structural safety and maintain their process to continue production activities under various load conditions including natural hazards. In this study, by improving existing design codes which aim to secure the structural safety only, new structural and seismic design codes are proposed to secure both the structural safety and the operability of facilities. In the proposed structural design code, a variety of loads to reflect the characteristics of industrial and environmental facilities are considered and load combinations for the ultimate strength design and the allowable stress design of structures are suggested. Considering the importance of a unit industrial facility and that of a unit process, the seismic design class, design earthquake, and seismic performance level of a unit component are determined to achieve the dual seismic performance objectives for securing both the structural safety and the operability. Also, the proposed design code are applied to an example of an environmental facility in order to examine its applicability.

• Journal of Korean Society for Quality Management
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• v.50 no.4
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• pp.647-664
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• 2022

Purpose: The purpose of this study is to derive major policies that domestic small and medium-sized manufacturing companies should consider to maximize productivity and quality improvement by utilizing manufacturing data and AI, and to find priorities and implications. Methods: In this study, domestic and international issues and literature review by country were conducted to derive major considerations such as manufacturing AI technology, manufacturing AI talent, manufacturing AI data and manufacturing AI ecosystem. Additionally, the questionnaire survey targeting 46 experts of manufacturing data and AI industry were conducted. Finally, the major considerations and detailed factors importance were derived by applying the Analytic Hierarchy Process (AHP). Results: As a result of the study, it was found that 'manufacturing AI technology', 'manufacturing AI talent', 'manufacturing AI data', and 'manufacturing AI ecosystem' exist as key considerations for domestic manufacturing AI. After empirical analysis, the importance of the four key considerations was found to be 'manufacturing AI ecosystem (0.272)', 'manufacturing AI data (0.265)', 'manufacturing AI technology (0.233)', and 'manufacturing AI talent (0.230)'. The importance of the derived four viewpoints is maintained at a similar level. In addition, looking at the detailed variables with the highest importance for each of the four perspectives, 'Best Practice', 'manufacturing data quality management regime, 'manufacturing data collection infrastructure', and 'manufacturing AI manpower level of solution providers' were found. Conclusion: For the sustainable growth of the domestic manufacturing AI ecosystem, it should be possible to develop and promote manufacturing AI policies in a balanced way by considering all four derived viewpoints. This paper is expected to be used as an effective guideline when developing policies for upgrading manufacturing through domestic manufacturing data and AI in the future.

• Journal of Korean Society of Occupational and Environmental Hygiene
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• v.32 no.1
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• pp.78-88
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• 2022

Objectives: To develop the smart sensor to protect worker's health from chemical exposure by adopting ICT (Information and Communications Technology) technologies. Methods: To develope real-time chemical exposure monitoring system, IoT (Internet of Things) sensor technology and regulations were reviewed. We developed and produced smart sensor. A smart sensor is a system consisting of a sensor unit, a communication unit, and a platform. To verify the performance of smart sensors, each sensor has been certified by the Korea Laboratory Accreditation Scheme (KOLAS). Results: Chemicals (TVOC; Total Volatile Organic Compounds, Cl₂: Chlorine, HF: Hydrogen fluoride and HCN: Hydrogen cyanide) were selected according to a priority logic (KOSHA Alert, acute poisoning statistics, literature review). Notifications were set according to OEL (occupational exposure limit). Sensors were selected based on OEL and the capabilities of the sensors. Communication is designed to use LTE (Long Term Evolution) and Wi-Fi at the same time for convenience. Electronic platform were applied to build this monitoring system. Conclusions: Real-time monitoring system for OEL of hazardous chemicals in workplace was developed. Smart sensor can detect chemicals to complement monitoring of traditional workplace environmental monitoring such as short term and peak exposure. Further research is needed to expand the scope of application, improve reliability, and systematically application.

• Journal of Korea Water Resources Association
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• v.54 no.spc1
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• pp.1119-1130
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• 2021

Urban flooding caused by localized heavy rainfall with unstable climate is constantly occurring, but a system that can predict spatial flood information with weather forecast has not been prepared yet. The worst flood situation in urban area can be occurred with difficulties of structural measures such as river levees, discharge capacity of urban sewage, storage basin of storm water, and pump facilities. However, identifying in advance the spatial flood information can have a decisive effect on minimizing flood damage. Therefore, this study presents a methodology that can predict the urban flood map in real-time by using rainfall data of the Korea Meteorological Administration (KMA), the results of two-dimensional flood analysis and random forest (RF) regression model. The Ujeong district in Ulsan metropolitan city, which the flood is frequently occurred, was selected for the study area. The RF regression model predicted the flood map corresponding to the 50 mm, 80 mm, and 110 mm rainfall events with 6-hours duration. And, the predicted results showed 63%, 80%, and 67% goodness of fit compared to the results of two-dimensional flood analysis model. It is judged that the suggested results of this study can be utilized as basic data for evacuation and response to urban flooding that occurs suddenly.

• Journal of Korea Entertainment Industry Association
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• v.15 no.5
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• pp.129-139
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• 2021

This study categorized the viewpoint of cooperation between schools and communities into marketability and publicness, and the viewpoint of school education and lifelong education. The perspective of school education consider to utilize local resources for the growth of students. The lifelong education perspective sees cooperation between schools communities to support the learning of residents. While the marketability perspective pursues individual choices and diversity of opportunities, the publicness perspective focuses on ensuring citizens' right to learn and evenly distributing learning opportunities. From the point of view of school education, it seeks to utilize local resources for the growth and development of students, and in the view point of lifelong education schools are understood to support the learning activities of residents. Cooperation between schools and communities could be presented by categorizing them into private organization-led, educational authorities-led, and provincial authorities-led depending on the subject of the promotion. Recently, local governments and educational governments, schools and communities are developing to a stage where they cooperate to realize the vision of a educational community. For the cooperation between schools and communities the local community, cooperation between local government and educational government and the harmony between publicness and marketability are emerging as tasks.