• Title/Summary/Keyword: Disaster Resources

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Physical Model Experiment on the Seepage Characteristics through a Dam by using FDR Sensor (FDR 센서를 활용한 제체 누수특성의 실내 모형 실험 연구)

  • Kim, Gyoo-Bum;Im, Eunsang;Ryu, Ho-Cheol;Hwang, Chan-ik;Kim, Hyeong-Jong
    • The Journal of Engineering Geology
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    • v.28 no.4
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    • pp.715-726
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    • 2018
  • Various methods, such as geophysical exploration, temperature measurement, and fiber optics, have been developed for detecting the seepage at a dam. In this study, in order to investigate the possibility of leakage detection using dielectric constant of FDR sensor, a physical model consisting of weak and no-weak zones is fabricated and the sensors for dielectric constant, temperature and pore water pressure measurements are installed. As a leakage happens, the dielectric constant changes more rapidly through a weak zone than no-weak zone. In addition, comparing three factors (dielectric constant, temperature, and pore water pressure), the response of dielectric constant to seepage is fast and it is easily recognized even at the end measurement point. Considering these features, it is concluded that it could be possible to cope with the leakage detection quickly and efficiently if the dielectric constant is measured at the downstream slope of a dam.

Adjacent Matrix-based Hole Coverage Discovery Technique for Sensor Networks

  • Wu, Mary
    • Journal of the Korea Society of Computer and Information
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    • v.24 no.4
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    • pp.169-176
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    • 2019
  • Wireless sensor networks are used to monitor and control areas in a variety of military and civilian areas such as battlefield surveillance, intrusion detection, disaster recovery, biological detection, and environmental monitoring. Since the sensor nodes are randomly placed in the area of interest, separation of the sensor network area may occur due to environmental obstacles or a sensor may not exist in some areas. Also, in the situation where the sensor node is placed in a non-relocatable place, some node may exhaust energy or physical hole of the sensor node may cause coverage hole. Coverage holes can affect the performance of the entire sensor network, such as reducing data reliability, changing network topologies, disconnecting data links, and degrading transmission load. It is possible to solve the problem that occurs in the coverage hole by finding a coverage hole in the sensor network and further arranging a new sensor node in the detected coverage hole. The existing coverage hole detection technique is based on the location of the sensor node, but it is inefficient to mount the GPS on the sensor node having limited resources, and performing other location information processing causes a lot of message transmission overhead. In this paper, we propose an Adjacent Matrix-based Hole Coverage Discovery(AMHCD) scheme based on connectivity of neighboring nodes. The method searches for whether the connectivity of the neighboring nodes constitutes a closed shape based on the adjacent matrix, and determines whether the node is an internal node or a boundary node. Therefore, the message overhead for the location information strokes does not occur and can be applied irrespective of the position information error.

History and Trends of Data Education in Korea - KISTI Data Education Based on 2001-2019 Statistics

  • Min, Jaehong;Han, Sunggeun;Ahn, Bu-young
    • Journal of Internet Computing and Services
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    • v.21 no.6
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    • pp.133-139
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    • 2020
  • Big data, artificial intelligence (AI), and machine learning are keywords that represent the Fourth industrial Revolution. In addition, as the development of science and technology, the Korean government, public institutions and industries want professionals who can collect, analyze, utilize and predict data. This means that data analysis and utilization education become more important. Education on data analysis and utilization is increasing with trends in other academy. However, it is true that not many academy run long-term and systematic education. Korea Institute of Science and Technology Information (KISTI) is a data ecosystem hub and one of its performance missions has been providing data utilization and analysis education to meet the needs of industries, institutions and governments since 1966. In this study, KISTI's data education was analyzed using the number of curriculum trainees per year from 2001 to 2019. With this data, the change of interest in education in information and data field was analyzed by reflecting social and historical situations. And we identified the characteristics of KISTI and trainees. It means that the identity, characteristics, infrastructure, and resources of the institution have a greater impact on the trainees' interest of data-use education.In particular, KISTI, as a research institute, conducts research in various fields, including bio, weather, traffic, disaster and so on. And it has various research data in science and technology field. The purpose of this study can provide direction forthe establishment of new curriculum using data that can represent KISTI's strengths and identity. One of the conclusions of this paper would be KISTI's greatest advantages if it could be used in education to analyze and visualize many research data. Finally, through this study, it can expect that KISTI will be able to present a new direction for designing data curricula with quality education that can fulfill its role and responsibilities and highlight its strengths.

Development of Fine Dust Monitoring System Using Small Edge Computing (소형 엣지컴퓨팅을 이용한 미세먼지 모니터링 시스템 개발)

  • Hwang, KiHwan
    • Journal of Platform Technology
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    • v.8 no.4
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    • pp.59-69
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    • 2020
  • Recently, the seriousness of ultrafine dust and fine dust has emerged as a national disaster, but small and medium-sized cities in provincial areas lack fine dust monitoring stations compared to their area, making it difficult to manage fine dust. Although the computing resources for collecting and processing fine dust data are not large, it is necessary to utilize cloud and private and public data to share data. In this paper, we proposed a small edge computing system that can measure fine dust, ultrafine dust and temperature and humidity and process it to provide real-time control of fine dust and service to the public. Collecting fine dust data and using public and private data to service fine dust ratings is efficient to handle with edge computing using raspberry pie because the amount of data is not large and the processing load is not large. For the experiment, the experiment system was constructed using three sensors, raspberry pie and Thinkspeak, and the fine dust measurement was conducted in northern part of kyongbuk region. The results of the experiment confirmed the measured fine dust measurement results over time based on the GIS data of the private sector.

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A Study on the Path Loss of Underwater Acoustic Channel Based on At-sea Experiment at the South Sea of Korea (남해 실해역 시험 기반 수중음향채널 경로손실에 관한 연구)

  • Kim, Min-Sang;Lee, Tae-Seok;Cho, Yong-Ho;Im, Tae-Ho;Ko, Hak-Lim
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.24 no.3
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    • pp.405-411
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    • 2020
  • Recently, studies on underwater communication, related to the development of underwater resources, disaster monitoring and defense, have been actively carried out. In the design of wireless communication systems, path loss is the most important information to derive a link budget that is required to guarantee communication reliability by calculating received power level for the given communication link. The underwater acoustic channel have different characteristics according to geographical location and relevant environmental factors such as water temperature, depth, wave height, algae, and turbidity. Subsequently, many research institutes aiming to develop underwater acoustic communication systems are researching actively on the underwater acoustic channels in various sea areas. In Korea, however, studies on the path loss of the acoustic channel are still insufficient. Therefore, in this study, the path loss of the acoustic channel are studied based on measurement data of the at-sea experiment conducted at Geohae-do, southern sea of Korea.

An Investigation to Encourage the Safety Culture in Small to Medium Size Industry (기업 안전문화 활동 지원에 대한 참여기업의 인식과 지원방안 연구)

  • Jeong, Jimin;Kim, Seulgi;Lee, Kyung-Sun;Moon, Kwangsu;Choi, Wonchang;Jin, Sangeun
    • Journal of the Korean Society of Safety
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    • v.37 no.5
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    • pp.56-61
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    • 2022
  • In this study, a systematic survey was employed to investigate managers' awareness on the safety culture project in small- to medium-sized industries. The existing regulatory and technology-oriented disaster prevention strategy has been implemented to reduce industrial accidents within a short timeframe, but it is essential to reduce fundamental accidents as well by improving the organizational safety culture or software elements, such as safety awareness. Questionnaires and interviews were conducted to examine the managers' awareness about safety culture, consisting of 17 questions related to safety consulting and with the participation of 191 executives and safety managers. The results showed a significant difference in the self-pay rate of safety consulting depending on the size of the workplace under evaluation. Based on the results, the safety-consulting business focused on providing differentiated consulting support and realistic improvement plans according to the workplace size. The study concluded that it is possible to reduce fundamental human errors and improve organizations' safety awareness or safety culture by employing safety consulting differentiated by workplace size.

Evaluation of Agricultural Drought Disaster Vulnerability Using Analytic Hierarchy Process (AHP) and Entropy Weighting Method (계층화분석 및 엔트로피 가중치 산정 방법에 따른 농업가뭄재해 취약성 평가)

  • Mun, Young-Sik;Nam, Won-Ho;Yang, Mi-Hye;Shin, Ji-Hyeon;Jeon, Min-Gi;Kim, Taegon;Lee, Seung-Yong;Lee, Kwang-Ya
    • Journal of The Korean Society of Agricultural Engineers
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    • v.63 no.3
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    • pp.13-26
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    • 2021
  • Recent drought events in the South Korea and the magnitude of drought losses indicate the continuing vulnerability of the agricultural drought. Various studies have been performed on drought hazard assessment at the regional scales, but until recently, drought management has been response oriented with little attention to mitigation and preparedness. A vulnerability assessment is introduced in order to preemptively respond to agricultural drought and to predict the occurrence of drought. This paper presents a method for spatial, Geographic Information Systems-based assessment of agricultural drought vulnerability in South Korea. It was hypothesized that the key 14 items that define agricultural drought vulnerability were meteorological, agricultural reservoir, social, and adaptability factors. Also, this study is to analyze agricultural drought vulnerability by comparing vulnerability assessment according to weighting method. The weight of the evaluation elements is expressed through the Analytic Hierarchy Process (AHP), which includes subjective elements such as surveys, and the Entropy method using attribute information of the evaluation items. The agricultural drought vulnerability map was created through development of a numerical weighting scheme to evaluate the drought potential of the classes within each factor. This vulnerability assessment is calculated the vulnerability index based on the weight, and analyze the vulnerable map from 2015 to 2019. The identification of agricultural drought vulnerability is an essential step in addressing the issue of drought vulnerability in the South Korea and can lead to mitigation-oriented drought management and supports government policymaking.

Geomechanical and hydrogeological validation of hydro-mechanical two-way sequential coupling in TOUGH2-FLAC3D linking algorithm with insights into the Mandel, Noordbergum, and Rhade effects

  • Lee, Sungho;Park, Jai-Yong;Kihm, Jung-Hwi;Kim, Jun-Mo
    • Geomechanics and Engineering
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    • v.28 no.5
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    • pp.437-454
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    • 2022
  • The hydro-mechanical (HM) two-way sequential coupling in the TOUGH2-FLAC3D linking algorithm is validated completely and successfully in both M to H and H to M directions, which are initiated by mechanical surface loading for geomechanical validation and hydrological groundwater pumping for hydrogeological validation, respectively. For such complete and successful validation, a TOUGH2-FLAC3D linked numerical model is developed first by adopting the TOUGH2-FLAC3D linking algorithm, which uses the two-way (fixed-stress split) sequential coupling scheme and the implicit backward time stepping method. Two geomechanical and two hydrogeological validation problems are then simulated using the linked numerical model together with basic validation strategies and prerequisites. The second geomechanical and second hydrogeological validation problems are also associated with the Mandel effect and the Noordbergum and Rhade effects, respectively, which are three phenomenally well-known but numerically challenging HM effects. Finally, sequentially coupled numerical solutions are compared with either analytical solutions (verification) or fully coupled numerical solutions (benchmarking). In all the four validation problems, they show almost perfect to extremely or very good agreement. In addition, the second geomechanical validation problem clearly displays the Mandel effect and suggests a proper or minimum geometrical ratio of the height to the width for the rectangular domain to maximize agreement between the numerical and analytical solutions. In the meantime, the second hydrogeological validation problem clearly displays the Noordbergum and Rhade effects and implies that the HM two-way sequential coupling scheme used in the linked numerical model is as rigorous as the HM two-way full coupling scheme used in a fully coupled numerical model.

A Random Walk Model for Estimating Debris Flow Damage Range (랜덤워크 모델을 이용한 토석류 산사태 피해범위 산정기법 제안)

  • Young-Suk Song;Min-Sun Lee
    • The Journal of Engineering Geology
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    • v.33 no.1
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    • pp.201-211
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    • 2023
  • This study investigated the damage range of the debris flow to predict the amount of collapsed soil in a landslide event. The height of the collapsed slope and the distance traveled by the collapsed soil were used to predict the total trajectory distance using a random walk model. Debris flow trajectory probabilities were calculated through 10,000 Monte Carlo simulations and were used to calculate the damage range as measured from the landslide scar to its toe. Compiled information on debris flows that occurred in the Cheonwangbong area of Mt. Jirisan was used to test the accuracy of the proposed random walk model in estimating the damage range of debris flow. Results of the comparison reveal that the proposed model shows reasonable accuracy in estimating the damage range of debris flow and that using 10 m × 10 m cells allows the damage range to be reproduced with satisfactory precision.

E-Isolation : High-performance Dynamic Testing Installation for Seismic Isolation Bearings and Damping Devices

  • Yoshikazu Takahashi;Toru Takeuchi;Shoichi Kishiki;Yozo Shinozaki;Masako Yoneda;Koichi Kajiwara;Akira Wada
    • International Journal of High-Rise Buildings
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    • v.12 no.1
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    • pp.93-105
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    • 2023
  • Seismic isolation and vibration control techniques have been developed and put into practical use by challenging researchers and engineers worldwide since the latter half of the 20th century, and after more than 40 years, they are now used in thousands of buildings, private residences, highways in many seismic areas in the world. Seismic isolation and vibration control structures can keep the structures undamaged even in a major earthquake and realize continuous occupancy. This performance has come to be recognized not only by engineers but also by ordinary people, becoming indispensable for the formation of a resilient society. However, the dynamic characteristics of seismically isolated bearings, the key elements, are highly dependent on the size effect and rate-of-loading, especially under extreme loading conditions. Therefore, confirming the actual properties and performance of these bearings with full-scale specimens under prescribed dynamic loading protocols is essential. The number of testing facilities with such capacity is still limited and even though the existing labs in the US, China, Taiwan, Italy, etc. are conducting these tests, their dynamic loading test setups are subjected to friction generated by the large vertical loads and inertial force of the heavy table which affect the accuracy of measured forces. To solve this problem, the authors have proposed a direct reaction force measuring system that can eliminate the effects of friction and inertia forces, and a seismic isolation testing facility with the proposed system (E-isolation) will be completed on March 2023 in Japan. This test facility is designed to conduct not only dynamic loading tests of seismic isolation bearings and dampers but also to perform hybrid simulations of seismically isolated structures. In this paper, design details and the realization of this system into an actual dynamic testing facility are presented and the outcomes are discussed.