• Title/Summary/Keyword: 2차 피해

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Effect of Air Bag and Seat Belt on Driver's Safety (에어백과 안전벨트가 운전자 안전에 미치는 영향에 관한 연구)

  • 유장석;장명순
    • Journal of Korean Society of Transportation
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    • v.21 no.2
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    • pp.7-16
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    • 2003
  • To minimize the death and injury by a collision, the installation of an air bag is recommended as a mandatory practice together with the wearing of the seat belt. By using simulated collision experiments, this research focused on the effect of an air bag and seat belt on the driver safety. The vehicle deceleration characteristics were obtained from impact experiment. LSDYNA, a software program for vehicle collision analysis, and MADYMO. a software program for driver motion after collision, were used for simulated experiment. Four cases such as air bag installed and seat belt wearing (case A), air bag installed but seat belt not wearing (case B), air bag not installed but seat belt wearing (case C), air bag not installed and seat belt not wearing (case D) were analyzed. The impact of acceleration on the injury of driver's head was analyzed by Head Injury Criterion (HIC) as well. It was found that having air bag and wearing seat belt effectively reduced driver's head injury about 52.9% to 70.5% compared with the case of having neither air bag nor wearing seat belt.

Studies on Growth Characteristics and Yield of Solanum njgrum L. (까마중(Solanum nigrum L.)의 생육특성과 전초수량에 관한 연구)

  • Choi, Seongkyu;Seo, Kyoungsun
    • Korean Journal of Plant Resources
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    • v.25 no.5
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    • pp.596-602
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    • 2012
  • This study was carried out to effect on Growth Characteristics and Yield of Solanum njgrum L. The experimental results are summarized as follows. Germination, growth characteristics and yield of Solanum nigrum Linne collected from southern parts of Korea were investigated. The one fruit weight was the heaviest in Gochang traditional S. nigrum among the collected sites. The number of seeds in one fruit was high in the orders of Gochang traditional sites, Gwangju traditional sites, Suncheon traditional sites and Naju traditional sites. The earliest flowering of Solanum nigrum was observed on 10. August. The plant height, stem diameter, leaf numbers and branch numbers were ranged from 65 cm to 75 cm, 7.1 mm to 8.2 mm, 237 ea to 270 ea and 12 ea to 17 ea, respectively. The fresh weight per plants were ranged from 265 g to 279 g, and yield of biomass were ranged from 1,298 kg to 1,367 kg per 10a. The insect pest numbers of S. nigrum according to the collected sites were showed no significant in this test.

A Study on the Implementation Level and Improvement of Incheon Strategy of Korea (한국의 인천전략 이행수준과 개선방안 연구)

  • Na, Woon Hwan
    • 재활복지
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    • v.21 no.2
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    • pp.1-27
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    • 2017
  • The purpose of this study is to evaluate the level of implementation of the Incheon Strategy and to develop measures for effective implementation. This research method used literature review and monitoring method. The results of the study are summarized as follows: First, 9 key indicators and 7 supplementary indicators, which are classified into implementation and non-implementation, 3 key indicators have been implemented, one indicator has been partially implemented, 5 indicators have not yet been implemented, Also, In the case of supplementary indicators, five were implemented and two were not. Second, the ten target areas are lacking in implementation, but the objective of 7 is to ensure the comprehensive disaster risk reduction and management, the ratification and implementation of the Convention on the Rights of Persons with Disabilities and the harmonization of the Convention with the domestic law, Also, it is analyzed that the level of implementation is in the order of improving the reliability and comparability of the data of goal 8, ensuring gender equality of goal 6 and strengthening the capacity of women. Based on these results, we propose an improvement plan for implementation. First, it is necessary to formulate policy issues and implement measures for the implementation of Incheon Strategy. Second, it is necessary to establish a system to implement and monitor for Incheon strategy. Third, Korean standards for goals and targets, key indicators and supplementary indicators are needed. Fourth, it is necessary to prioritize the target implementation and to take preemptive action. Lastly, it is necessary to educate and publicize for the Incheon strategy.

A Study on the Identification of Hazardous Factors and Prevention of Accident in Old Boilers (노후보일러 유해인자 발굴 및 사고예방에 관한 연구)

  • Sa, Min-Hyung;Woo, In-Sung
    • Journal of the Korean Institute of Gas
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    • v.23 no.4
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    • pp.1-9
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    • 2019
  • Large-scale industrial boilers operating at high temperature and high pressure, have a large amount of water, and a large amount of energy is released at the time of explosion. Currently, most industrial boilers use gas fuel such as LNG and LPG, etc. and fuel exists in the same space as equipment, so there is a high possibility of secondary damage such as fire or explosion in the event of a boiler accident. Both special care and management are required to operate the very dangerous equipment that causes casualty 2.51 per accident. For boilers of a certain size or more, the Korea Energy Agency conducts inspections in accordance with the Energy Usage Rationalization Act, KS, and public notice of the Ministry of Industry, Trade and Resources. In this research, based on the results of the inspection, the hazard factorss are configured, and a questionnaire is conducted to the inspector, the equipment manager, the maintenance person, and the person in charge of the manufacturer. We analyzed the results by using AHP (Analytic Hierarchy Process). As a result of analysis, generally recognized hazard factorss are not good management, measurement failure, specification failure, water leak, leak analysis, but connection, welding, scale, and corrosion, etc. are relatively less important. It is judged that the adverse factors that are recognized to be highly important among all groups and careers are already well managed, but less important and adverse factors should be well managed to ensure that the safe usage of the boiler.

Evaluation Study of Blast Resistance and Structural Factors in the Explosive Simple Storage by Numerical Analysis (수치해석을 통한 화약류 간이저장소의 방폭성 및 구조인자 평가연구)

  • Jung, Seung-Won;Kim, Jung-Gyu;Kim, Jun-Ha;Kim, Nam-Soo;Kim, Jong-Gwan
    • Tunnel and Underground Space
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    • v.32 no.2
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    • pp.160-172
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    • 2022
  • The design regulations for simple explosive storage in Korea only stipulate standards for the materials and thickness of the wall of the structure because the amount of explosives that can be stored is small. There is concern about secondary damage during an internal explosion in a simple storage facility, and it is necessary to reexamine the current standards. The numerical analysis for the TNT 15 kg explosion inside the simple storage was carried out by setting the factors using the robust experimental design method. The displacement of the structure generated under the same time condition was analyzed, and the contribution was evaluated. The contribution of concrete thickness was the highest, and the contribution of concrete strength and rebar arrangement was lower than that of concrete thickness. The reinforcement diameter contributed extremely little to the displacement. The structural standards of the simple storage that are currently applied are insufficient on blast resistance, and it is necessary to present new design standards. Therefore, the design factor to be applied later analysis and actual experiments were taken into consideration. For the design variables, the thickness of the concrete was 15 cm considering the displacement, the concrete strength was selected as general concrete considering the inlet discharge pressure, the factor with the lowest average displacement was selected for the reinforcement arrangement and the diameter of the reinforcement, the factor with the smallest level was selected in consideration of economic feasibility because the difference in displacement was low.

Waterbody Detection Using UNet-based Sentinel-1 SAR Image: For the Seom-jin River Basin (UNet기반 Sentinel-1 SAR영상을 이용한 수체탐지: 섬진강유역 대상으로)

  • Lee, Doi;Park, Soryeon;Seo, Dongju;Kim, Jinsoo
    • Korean Journal of Remote Sensing
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    • v.38 no.5_3
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    • pp.901-912
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    • 2022
  • The frequency of disasters is increasing due to global climate change, and unusual heavy rains and rainy seasons are occurring in Korea. Periodic monitoring and rapid detection are important because these weather conditions can lead to drought and flooding, causing secondary damage. Although research using optical images is continuously being conducted to determine the waterbody, there is a limitation in that it is difficult to detect due to the influence of clouds in order to detect floods that accompany heavy rain. Therefore, there is a need for research using synthetic aperture radar (SAR) that can be observed regardless of day or night in all weather. In this study, using Sentinel-1 SAR images that can be collected in near-real time as open data, the UNet model among deep learning algorithms that have recently been used in various fields was applied. In previous studies, waterbody detection studies using SAR images and deep learning algorithms are being conducted, but only a small number of studies have been conducted in Korea. In this study, to determine the applicability of deep learning of SAR images, UNet and the existing algorithm thresholding method were compared, and five indices and Sentinel-2 normalized difference water index (NDWI) were evaluated. As a result of evaluating the accuracy with intersect of union (IoU), it was confirmed that UNet has high accuracy with 0.894 for UNet and 0.699 for threshold method. Through this study, the applicability of deep learning-based SAR images was confirmed, and if high-resolution SAR images and deep learning algorithms are applied, it is expected that periodic and accurate waterbody change detection will be possible in Korea.

A Study on the Gender Rights Protection System in Arts and Cultural Industry (문화예술계 성 인권 보호를 위한 제도 연구)

  • Byun, Young geon;Lee, Sung yeop
    • Korean Association of Arts Management
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    • no.54
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    • pp.155-184
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    • 2020
  • This study aims to examine the system for gender rights in arts and cultural industry triggered by #Metoo movement and to suggest action plans to improve gender equality. Up until now, Korean government launched 'Pan-governmental Counter Plan', 'Recommendation of the Special Center for Investigating Sexual Harassment and Sexual Violence in Arts and Cultural Industries' 'the Primary and Secondary Supplemental Measures to Eradicate Sexual Harassment and Sexual Violence in the Arts and Cultural Sector by the Ministry of Culture, Sports and Tourism in Korea', and '2030 Cultural Vision'. Korean government has designed the system to protect gender rights using these proposals. Implemented policies can be grouped into 4 different categories; protecting victims, punishing abusers, implementing preventive measures, and reforming legal system. However, despite Korean government's multilateral efforts, continuous criticism aroused as policies failed to witness actual impacts in the industry. Given the fact that 2 years have passed since the launch of gender equality policy in cultural sector, this is the right time to discuss the current status and ways to improve it. For above reasons, research was conducted on documents including, but not limited to, government publications and an analysis of interviews with 9 major stakeholders of policy planning and implementation. During the study, interviews were analyzed using the qualitative research program MAXQDA. As a result, 5~10 problems were revealed in each category of the system. Furthermore, meaningful correlation has been found in improvement areas suggested by the interviewees. This connection implies that the policy for gender rights in arts and cultural industry shall be developed organically in order for the system to work.

Hazardous and Noxious Substances (HNSs) Styrene Detection Using Spectral Matching and Mixture Analysis Methods (분광정합 및 혼합 분석 방법을 활용한 위험·유해물질 스티렌 탐지)

  • Jae-Jin Park;Kyung-Ae Park;Tae-Sung Kim;Moonjin Lee
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.28 no.spc
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    • pp.1-10
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    • 2022
  • As the volume of marine hazardous and noxious substances (HNSs) transported in domestic and overseas seas increases, the risk of HNS spill accidents is gradually increasing. HNS leaked into the sea causes destruction of marine ecosystems, pollution of the marine environment, and human casualties. Secondary accidents accompanied by fire and explosion are possible. Therefore, various types of HNSs must be rapidly detected, and a control strategy suitable for the characteristics of each substance must be established. In this study, the ground HNS spill experiment process and application result of detection algorithms were presented based on hyperspectral remote sensing. For this, styrene was spilled in an outdoor pool in Brest, France, and simultaneous observation was performed through a hyperspectral sensor. Pure styrene and seawater spectra were extracted by applying principal component analysis (PCA) and the N-Findr method. In addition, pixels in hyperspectral image were classified with styrene and seawater by applying spectral matching techniques such as spectral distance similarity (SDS), spectral correlation similarity (SCS), spectral similarity value (SSV), and spectral angle mapper (SAM). As a result, the SDS and SSV techniques showed good styrene detection results, and the total extent of styrene was estimated to be approximately 1.03 m2. The study is expected to play a major role in marine HNS monitoring.

A Study on the Fraud Detection for Electronic Prepayment using Machine Learning (머신러닝을 이용한 선불전자지급수단의 이상금융거래 탐지 연구)

  • Choi, Byung-Ho;Cho, Nam-Wook
    • The Journal of Society for e-Business Studies
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    • v.27 no.2
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    • pp.65-77
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    • 2022
  • Due to the recent development in electronic financial services, transactions of electronic prepayment are rapidly growing, leading to growing fraud attempts. This paper proposes a methodology that can effectively detect fraud transactions in electronic prepayment by machine learning algorithms, including support vector machines, decision trees, and artificial neural networks. Actual transaction data of electronic prepayment services were collected and preprocessed to extract the most relevant variables from raw data. Two different approaches were explored in the paper. One is a transaction-based approach, and the other is a user ID-based approach. For the transaction-based approach, the first model is primarily based on raw data features, while the second model uses extra features in addition to the first model. The user ID-based approach also used feature engineering to extract and transform the most relevant features. Overall, the user ID-based approach showed a better performance than the transaction-based approach, where the artificial neural networks showed the best performance. The proposed method could be used to reduce the damage caused by financial accidents by detecting and blocking fraud attempts.

Utilization of Drone LiDAR for Field Investigation of Facility Collapse Accident (붕괴사고 현장조사를 위한 드론 LiDAR 활용)

  • Yonghan Jung ;Eontaek Lim ;Jaewook Suk;Seul Koo;Seongsam Kim
    • Korean Journal of Remote Sensing
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    • v.39 no.5_2
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    • pp.849-858
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    • 2023
  • Investigating disaster sites such as earthquakes and landslides involves significant risks due to potential secondary disasters like facility collapse. In situations where direct access is challenging, there is a need to develop methods for safely acquiring high-precision 3D disaster information using light detection and ranging (LiDAR) equipped drone survey systems. In this study, the feasibility of using drone LiDAR in disaster scenarios was examined, focusing on the collapse accident at Jeongja Bridge in Bundang-gu, Seongnam City, in April 2023. High-density point clouds for the accident bridge were collected, and the bridge's 3D terrain information was reconstructed and compared to the measurement performance of 10 ground control points. The results showed horizontal and vertical root mean square error values of 0.032 m and 0.055 m, respectively. Additionally, when compared to a point cloud generated using ground LiDAR for the same target area, a vertical difference of approximately 0.08 m was observed, but overall shapes showed minimal discrepancies. Moreover, in terms of overall data acquisition and processing time, drone LiDAR was found to be more efficient than ground LiDAR. Therefore, the use of drone LiDAR in disaster sites with significant risks allows for safe and rapid onsite investigations.