• Title/Summary/Keyword: property damage

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Mapping Urban Inundation Using Flood Depth Extraction from Flood Map Image (침수지도 영상의 침수심 추출기법을 활용한 내수 침수 위험지도 작성)

  • Na, Seo Hyeon;Lee, Su Won;Kim, Joo Won;Byeon, Seong Joon
    • Journal of Korean Society of Water Science and Technology
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    • v.26 no.6
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    • pp.133-142
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    • 2018
  • Increasing localized torrential rainfall caused by abnormal climate are making higher damage to human and property through urban inundation So The need of preventive measures is being highlighted. In this study, the methodology for calculating flood depth in domestic water map using an interpolation method in order to utilizing the results of flood analysis provided only in the form of a report is suggested. In the Incheon Metropolitan City S area as the test-bed, the flood depth was calculated using the interpolating the actual flood analysis by image and verification was performed. Verification results showed that the error rate was 5.2% for the maximum flooding depth, and that the water depth value was compared to 10 random points, which showed a difference of less than 0.030 m. Also, as the results of the flood analysis were presented in various ways, the flood depth was extracted from the image of the result of the flood analysis, which changed the presentation method, and then compared and analyzed. The results of this study could be available for the use of basic data from the research on the urban penetration of domestic consumption and for decision-making of policy.

Microstructure and Mechanical Property Changes of Unidirectional and Plain Woven CF/Mg Composite Laminates after Corrosion (일방향 및 평직 CF/Mg 복합재 적층판의 부식에 따른 미세조직 및 기계적 특성 변화)

  • Yim, Shi On;Lee, Jung Moo;Lee, Sang Kwan;Park, Yong Ho;Park, Ik Min
    • Korean Journal of Metals and Materials
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    • v.50 no.9
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    • pp.697-702
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    • 2012
  • In this study, unidirectional and plain woven carbon fiber reinforced magnesium matrix composite laminates were fabricated by the liquid pressing infiltration process, and evolutions of the microstructure and compressive strength of the composite laminates under corrosion were investigated by static immersion tests. In the case of the unidirectional composite laminate, the main microstructural damage during immersion appeared as a form of corrosion induced cracks, which were formed at both CF/Mg interfaces and the interfaces between layers. On the otherhand, wrap/fill interface cracks were mainly formed in the plain woven composite laminate, without any cracks at the CF/Mg interface. The formation of these cracks was considered to be associated with internal thermal residual stress, which was generated during cooling after the fabrication process of these materials. As a consequence of the corrosion induced cracks, the thickness of both laminates increased in directions vertical to the fibers with increasing immersion time. With increasing immersion time, the compressive strengths of both composite laminates also decreased continuously. It was found that the plain woven composite laminates have superior corrosion resistance and stability under a corrosive condition than unidirectional laminates.

Intrusion Detection Methodology for SCADA system environment based on traffic self-similarity property (트래픽 자기 유사성(Self-similarity)에 기반한 SCADA 시스템 환경에서의 침입탐지방법론)

  • Koh, Pauline;Choi, Hwa-Jae;Kim, Se-Ryoung;Kwon, Hyuk-Min;Kim, Huy-Kang
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.22 no.2
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    • pp.267-281
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    • 2012
  • SCADA system is a computer system that monitors and controls the national infrastructure or industrial process including transportation facilities, water treatment and distribution, electrical power transmission and distribution, and gas pipelines. The SCADA system has been operated in a closed network, but it changes to open network as information and communication technology is developed rapidly. As the way of connecting with outside user extends, the possibility of exploitation of vulnerability of SCADA system gets high. The methodology to protect the possible huge damage caused by malicious user should be developed. In this paper, we proposed anomaly detection based intrusion detection methodology by estimating self-similarity of SCADA system.

A Study on Dynamic Analysis Model and Stability of Stone Cultural Properties of Inverted Pendulum Type with 5 Joints (5개의 연결부를 가지는 역진자형 석조문화재의 동적 해석모델 및 안정성 연구)

  • Choi, Jae-Sung
    • Journal of the Korea institute for structural maintenance and inspection
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    • v.25 no.3
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    • pp.21-30
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    • 2021
  • Architectural cultural properties suffer a lot of damage due to various environmental factors. In order to preserve damaged cultural properties, preventive preservation and long-term preservation management are becoming more important. Therefore, research on a scientific non-destructive testing method applicable to regular inspection is required. For related research, DangGan with a high flag-pole shape was selected as the subject of study among various cultural properties. Among the preserved DangGans, a basic study was conducted on the analysis technique to evaluate the structural stability by selecting Treasure No. 49 Naju SeokDangGan. An idealized model was presented and a multi-degree of freedom equation of motion was derived. In addition, an equation for estimating the critical stiffness value for each joint position is presented.

Sinkhole Tracking by Deep Learning and Data Association (딥 러닝과 데이터 결합에 의한 싱크홀 트래킹)

  • Ro, Soonghwan;Hoai, Nam Vu;Choi, Bokgil;Dung, Nguyen Manh
    • The Journal of Korean Institute of Information Technology
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    • v.17 no.6
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    • pp.17-25
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    • 2019
  • Accurate tracking of the sinkholes that are appearing frequently now is an important method of protecting human and property damage. Although many sinkhole detection systems have been proposed, it is still far from completely solved especially in-depth area. Furthermore, detection of sinkhole algorithms experienced the problem of unstable result that makes the system difficult to fire a warning in real-time. In this paper, we proposed a method of sinkhole tracking by deep learning and data association, that takes advantage of the recent development of CNN transfer learning. Our system consists of three main parts which are binary segmentation, sinkhole classification, and sinkhole tracking. The experiment results show that the sinkhole can be tracked in real-time on the dataset. These achievements have proven that the proposed system is able to apply to the practical application.

Reproduction of Flood Inundation in Marine City, Busan During the Typhoon Chaba Invasion Using ADCSWAN and FLOW-3D Models (ADCSWAN과 FLOW-3D 모델을 이용한 태풍 차바 내습 시 부산 마린시티의 침수범람 재현)

  • Choi, Heung-Bae;Um, Ho-Sik;Park, Jong-Jib;Kang, Taeuk
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.26 no.7
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    • pp.881-891
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    • 2020
  • In recent years, large-scale development of coastal areas has caused the loss of many lives and extensive property damage in coastal areas, due to wave overtopping caused by high-wave invasion and strong typhoons. However, coastal inundation studies considering the characteristics of domestic coastal areas are insufficient. This study is a methodology study that aimed to reproduce inundation of surge and wave complex elements by applying the ADCSWAN (ADCIRC+SWAN) and FLOW-3D models. In this study, the boundary data (sea level, wave) of the FLOW-3D model was extracted using the ADCSWAN (ADCIRC+SWAN) model and applied as the input value of the FLOW-3D model and a reproduction was created of the Flooding due to surge and overtopping in Busan Marine City when the typhoon Chaba passed. In addition, the existing overtopping empirical equation and the overtopping calculated by the FLOW-3D model were compared, and for coastal inundation, a qualitative verification was performed using the Inundation Trace Map of Land and Geospatial Informatrix Corporation, and the effectiveness of this study was reviewed.

Optimization of SWAN Wave Model to Improve the Accuracy of Winter Storm Wave Prediction in the East Sea

  • Son, Bongkyo;Do, Kideok
    • Journal of Ocean Engineering and Technology
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    • v.35 no.4
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    • pp.273-286
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    • 2021
  • In recent years, as human casualties and property damage caused by hazardous waves have increased in the East Sea, precise wave prediction skills have become necessary. In this study, the Simulating WAves Nearshore (SWAN) third-generation numerical wave model was calibrated and optimized to enhance the accuracy of winter storm wave prediction in the East Sea. We used Source Term 6 (ST6) and physical observations from a large-scale experiment conducted in Australia and compared its results to Komen's formula, a default in SWAN. As input wind data, we used Korean Meteorological Agency's (KMA's) operational meteorological model called Regional Data Assimilation and Prediction System (RDAPS), the European Centre for Medium Range Weather Forecasts' newest 5th generation re-analysis data (ERA5), and Japanese Meteorological Agency's (JMA's) meso-scale forecasting data. We analyzed the accuracy of each model's results by comparing them to observation data. For quantitative analysis and assessment, the observed wave data for 6 locations from KMA and Korea Hydrographic and Oceanographic Agency (KHOA) were used, and statistical analysis was conducted to assess model accuracy. As a result, ST6 models had a smaller root mean square error and higher correlation coefficient than the default model in significant wave height prediction. However, for peak wave period simulation, the results were incoherent among each model and location. In simulations with different wind data, the simulation using ERA5 for input wind datashowed the most accurate results overall but underestimated the wave height in predicting high wave events compared to the simulation using RDAPS and JMA meso-scale model. In addition, it showed that the spatial resolution of wind plays a more significant role in predicting high wave events. Nevertheless, the numerical model optimized in this study highlighted some limitations in predicting high waves that rise rapidly in time caused by meteorological events. This suggests that further research is necessary to enhance the accuracy of wave prediction in various climate conditions, such as extreme weather.

A Design of File Leakage Response System through Event Detection (이벤트 감지를 통한 파일 유출 대응 시스템 설계)

  • Shin, Seung-Soo
    • Journal of Industrial Convergence
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    • v.20 no.7
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    • pp.65-71
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    • 2022
  • With the development of ICT, as the era of the 4th industrial revolution arrives, the amount of data is enormous, and as big data technologies emerge, technologies for processing, storing, and processing data are becoming important. In this paper, we propose a system that detects events through monitoring and judges them using hash values because the damage to important files in case of leakage in industries and public places is serious nationally and property. As a research method, an optional event method is used to compare the hash value registered in advance after performing the encryption operation in the event of a file leakage, and then determine whether it is an important file. Monitoring of specific events minimizes system load, analyzes the signature, and determines it to improve accuracy. Confidentiality is improved by comparing and determining hash values pre-registered in the database. For future research, research on security solutions to prevent file leakage through networks and various paths is needed.

The use of cost-benefit analysis in performance-based earthquake engineering of steel structures

  • Ravanshadnia, Hamidreza;Shakib, Hamzeh;Ansari, Mokhtar;Safiey, Amir
    • Earthquakes and Structures
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    • v.22 no.6
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    • pp.561-570
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    • 2022
  • It is of great importance to be able to evaluate different structural systems not only based on their seismic performance but also considering their lifetime service costs. Many structural systems exist that can meet the engineering requirements for different performance levels; therefore, these systems shall be selected based on their economic costs over time. In this paper, two structural systems, including special steel moment-resisting and the ordinary concentric braced frames, are considered, which are designed to meet the three performance levels: Immediate Occupancy (IO), Life Safety (LS), Collapse Prevention (CP). The seismic behavior of these two systems is studied under three strong ground motions (i.e., Tabas, Bam, Kajour earthquake records) using the Perform3D package, and the incurred damages to the studied systems are examined at two hazard levels. Economic analyses were performed to determine the most economical structural system to meet the specified performance level requirements, considering the initial cost and costs associated with damages of an earthquake that occurred during their lifetime. In essence, the economic lifetime study results show that the special moment-resisting frames at IO and LS performance levels are at least 20% more economical than braced frames. The result of the study for these building systems with different heights designed for different performance levels also shows it is more economical from the perspective of long-term ownership of the property to design for higher performance levels even though the initial construction cost is higher.

The protective effect of methanol extract of Corni Fructus on brain injury caused by unilateral common carotid artery occlusion in mice (산수유(山茱萸) 메탄올 추출물이 편측 경동맥 폐색으로 유도된 생쥐의 허혈성 뇌손상에 미치는 영향)

  • Choi, Na Ri;Jo, Sung Hyeon;Lee, Se-Eun;Lee, Min Ji;Cho, Suin
    • The Korea Journal of Herbology
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    • v.35 no.1
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    • pp.1-8
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    • 2020
  • Objectives : This study was conducted to evaluate the effects of Corni Fructus, the dried fruits of Cornus officinalis Sieb., on unilateral common carotid artery occlusion (UCCAO) in mouse model. Methods : The Corni Fructus used in the experiment was extracted with anhydrous methanol, then filtered and freeze-dried. C57BL/6 mice used in the experiments were conducted left UCCAO surgery to set up UCCAO rodent model for mice. The mice were divided into five groups for evaluate the effect of methanol extract of Corni Fructus (COM) on UCCAO induced ischemic brain injury. The expression levels of nitric oxide in cerebrum and serum, body weight change were measured. To determine the effect of UCCAO and COM administration on brain neurons, morphological changes of the cerebrum through a microscope was conducted. And western blot was performed to confirm the underlying mechanism of neuroprotective effect of COM administration. Results : COM administered UCCAO groups (CO50, CO150, and CO500) had no significant effects on nitric oxide production in ipsilateral hemisphere proteins and sera. The CO500, 500 mg/kg COM administration, attenuated UCCAO-induced p38 inflammatory signaling pathway and inflammatory mediators such as iNOS and COX-2. The CO500 group showed resilient morphological changes of hippocampus neuronal cells about brain damage caused by decreased flow of blood. These group also showed decreased inflammation and cellular stress response in neuronal cells. Conclusions : From these results, COM has a neuroprotective property via moderating inflammatory factors and cellular stress inducing factors in brain cells.