• Title/Summary/Keyword: artificial disaster

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Artificial Intelligence-based Real-time Risk Estimation Method of Construction Site Workers (인공지능기반 공사현장 작업자의 실시간 위험성 추정 방법)

  • Kang, Sung-Hwan ;Lee, Dong-Yeop;Cheung, Chong-Soo
    • Proceedings of the Korean Society of Disaster Information Conference
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    • 2023.11a
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    • pp.307-308
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    • 2023
  • 본 논문에서는 공사현장 작업자의 실질적 영향을 미치는 요소들을 고려하여 인공지능기반의 실시간 위험성 추정 기법을 개발하였다. 기존 재난안전학 또는 안전공학에서는 위험성평가를 실시하여 강도·빈도에 의하여 위험성을 추정하고 도출된 값을 통해 위험한 정도를 분류하는 경우가 많다. 그러나 대부분의 공사현장에서는 정적인 위험성평가를 통해 해당 유해위험요인을 근거로 형식적인 위험성평가가 이루어지고 있기 때문에 대부분의 사고 후 증빙 자료로만 활용되고 있는 것이 현실이다. 이 위험성평가를 진행하면서 변화하는 환경의 유해위험을 실시간으로 반영할 수 없게 되고, 이는 실질적인 작업자의 안전을 보장해 주지 못하는 문제를 발생시킨다. 이러한 점에서 위험성평가와 더불어 실질적인 안전한 작업장을 만들기 위해서 작업자의 건강정보 및 실시간 공사현장의 영상정보에 기반한 위험성 추정 기법은 실질적 안전사고를 예방하는 방법론 중 하나가 될 수 있다. 작업자의 건강정보는 개개인 맞춤형 건강 데이터에 근거한 해석이 가능하고 실시간 공사현장 영상은 작업 중 발생할 수 있는 돌발상황에 대비하기위해 사용된다. 이러한 위험성 추정 방법은 다양한 공사현장의 위험성 추정 기법으로 사용될 수 있다. 이로 인해 높은 정확도의 위험성 추정 수치를 얻을 수 있으며, 이는 실질적안 안전 예방활동에 있어서 매우 중요하게 작용한다. 위험성 추정 수치 예제를 통하여 본 논문에서 제시된 위험성 추정 방법론이 타당함을 확인하였다. 본 논문에는 기존 위험성평가에 더해 작업자의 건강정보 및 공사현장 실시간 영상정보를 이용하여 실질적인 작업자 안전을 위한 예방 방법을 제시하였다.

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Monitoring of Lake area Change and Drought using Landsat Images and the Artificial Neural Network Method in Lake Soyang, Chuncheon, Korea (Landsat 영상 및 인공 신경망 기법을 활용한 춘천 소양호 면적 및 가뭄 모니터링)

  • Eom, Jinah;Park, Sungjae;Ko, Bokyun;Lee, Chang-Wook
    • Journal of the Korean earth science society
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    • v.41 no.2
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    • pp.129-136
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    • 2020
  • Drought is an environmental disaster typically defined as an unusual deficiency of water supply over an extended period. Satellite remote sensing provides an alternative approach to monitoring drought over large areas. In this study, we monitored drought patterns over about 30 years (1985-2015), using satellite imagery of Lake Soyang, Gangwondo, South Korea. Landsat images were classified using ISODATA, maximum likelihood analysis, and an artificial neural network to derive the lake area. In addition, the relationship between areas of Lake Soyang and the Standardized Precipitation Index (SPI) was analyzed. The results showed that the artificial neural network was a better method for determining the area of the lake. Based on the relationship between the SPI value and changes in area, the R2 value was 0.52. This means that the area of the lake varied depending on SPI value. This study was able to detect and monitor drought conditions in the Lake Soyang area. The results of this study are used in the development of a regional drought monitoring program.

A Case Study of Prosthetic Ambulation Training for Upper and Both Lower Extremity Amputated Patient (상지 및 하지절단 환자의 의지보행훈련 증례연구)

  • Hong, Do-Sun;Park, Chang-Ju
    • Journal of Korean Physical Therapy Science
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    • v.7 no.1
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    • pp.367-375
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    • 2000
  • The purpose of this study is to announce the present condition, walking training, and adaptable training of a limb amputated patient. The study is a successful report of the limb amputated patient through the medical treatment of the physical therapy. A cause of the limb amputated patient, a truck driver, was that the patient was hit by a train when the driver alight from the truck. Then, the driver was surgical operated on left AK (Above Knee) amputation and left AE (Above Elbow) amputation by orthopedics at the Young Dong Severance Hospital on Dec.7, 1996. Two weeks after the operation (Dec., 22, 1996), the patient was trained at the Yonsei Medical Center Physical Therapy Hospital for the walking and temper adjust training. It was possible to do a flat surface walking and a slope surface walking without helping due to the patients optimistic personal character and motivation. However, the patient struggled to a dull surface walking and his weak endurance. the patient has several problems when the patient wears artificial legs and hands, fears on fall down, and mentally worries on noise when he walks. It is necessary to approach for this problems by many fields of the helpers, such as Rehabilitation medical doctor, physical therapist, occupational therpist, artificial limbs makers, psychologists, and etc. Therefore, in order for recovering from the amputated parts function after the surgical operation, more approved reports have to be for the amputated patients due to increasing traffic accidents, industrial disaster, cancer, diabetes, obstacles of the peripheral nervous system, and etc.

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Automatic National Image Interpretability Rating Scales (NIIRS) Measurement Algorithm for Satellite Images (위성영상을 위한 NIIRS(Natinal Image Interpretability Rating Scales) 자동 측정 알고리즘)

  • Kim, Jeahee;Lee, Changu;Park, Jong Won
    • Journal of Korea Multimedia Society
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    • v.19 no.4
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    • pp.725-735
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    • 2016
  • High-resolution satellite images are used in the fields of mapping, natural disaster forecasting, agriculture, ocean-based industries, infrastructure, and environment, and there is a progressive increase in the development and demand for the applications of high-resolution satellite images. Users of the satellite images desire accurate quality of the provided satellite images. Moreover, the distinguishability of each image captured by an actual satellite varies according to the atmospheric environment and solar angle at the captured region, the satellite velocity and capture angle, and the system noise. Hence , NIIRS must be measured for all captured images. There is a significant deficiency in professional human resources and time resources available to measure the NIIRS of few hundred images that are transmitted daily. Currently, NIIRS is measured every few months or even few years to assess the aging of the satellite as well as to verify and calibrate it [3]. Therefore, we develop an algorithm that can measure the national image interpretability rating scales (NIIRS) of a typical satellite image rather than an artificial target satellite image, in order to automatically assess its quality. In this study, the criteria for automatic edge region extraction are derived based on the previous works on manual edge region extraction [4][5], and consequently, we propose an algorithm that can extract the edge region. Moreover, RER and H are calculated from the extracted edge region for automatic edge region extraction. The average NIIRS value was measured to be 3.6342±0.15321 (2 standard deviations) from the automatic measurement experiment on a typical satellite image, which is similar to the result extracted from the artificial target.

Dynamic Characteristics of the Box Structure in Multi-layered Ground Under Earthquake Load (지진하중을 받는 다층지반내 박스구조물의 동적 특성)

  • Kim, In Dae;Shin, Eun Chul;Park, Jeong Jun
    • Journal of the Korean Geosynthetics Society
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    • v.19 no.1
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    • pp.55-63
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    • 2020
  • In this study, a scaled model test of the shaking table and a seismic analysis considering effective stresses were performed to reveal the dynamic behavior characteristics of box structures deep located in multi-layered soils upon seismic loading. The input seismic wave was operated below the ground using five seismic waves, including long period wave (Hachinohe), short period wave (Ofunato), artificial wave and real earthquakes that occurred in Gyeong-ju and Po-hang. As a result of model test and numerical analysis, the vertical displacement of box structures upon seismic loading was greater than that of horizontal direction, and it was confirmed that an increase of excess pore water pressure below the foundation ground caused a displacement. In addition, behavior of the ground and structures during artificial seismic wave appeared to be larger than real earthquake wave.

The Influence of Forest Fire on the Characteristics of Polymer Insulator for Transmission Lines (산불영향에 따른 송전용 폴리머애자의 특성)

  • Lee Donu-Il;Chung Yong-Woon;Yu Kun-Yang;Choi In-Hyuk
    • The Transactions of the Korean Institute of Electrical Engineers C
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    • v.54 no.3
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    • pp.127-131
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    • 2005
  • Big fire such as mountain fire may cause the prevention of the functions of the overhead cables and insulators, which may affect the operation of the transmission lines. In the worst case, this kind of disaster may have a huge effect on the whole industry of a country. However, the study on the effect of the mountain fire on the transmission line is very rare. Therefore, in order to understand the effect of the mountain fire on the polymeric insulator for transmission lines, the author observed the deformation of the sheds of the polymeric insulators and the change of the discs of the porcelain insulators under fire, varying the ignition time using the artificial ignition testing equipment which simulates the mountain fire, and investigated the electrical and mechanical characteristics of the insulators after the ignition test. For the test, the miniature insulators made of polymeric material and porcelain have been utilized. As the result, the following conclusions were obtained. First, the porcelain insulator was degraded in electrical characteristics when the insulator was subjected to the fire for approximately 5 minutes; whereas, the polymeric insulator was not degraded though there were some damage on its sheds. Second, after 20 minute exposure to the fire, the polymeric insulator lost a lot of parts of sheds, but the electrical characteristics was lowered by around $20\%$, but the porcelain insulators were electrically degraded by more than $80\%$.

ROC evaluation for MLP ANN drought forecasting model (MLP ANN 가뭄 예측 모형에 대한 ROC 평가)

  • Jeong, Min-Su;Kim, Jong-Suk;Jang, Ho-Won;Lee, Joo-Heon
    • Journal of Korea Water Resources Association
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    • v.49 no.10
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    • pp.877-885
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    • 2016
  • In this study, the Standard Precipitation Index(SPI), meteorological drought index, was used to evaluate the temporal and spatial assessment of drought forecasting results for all cross Korea. For the drought forecasting, the Multi Layer Perceptron-Artificial Neural Network (MLP-ANN) was selected and the drought forecasting was performed according to different forecasting lead time for SPI (3) and SPI (6). The precipitation data observed in 59 gaging stations of Korea Meteorological Adminstration (KMA) from 1976~2015. For the performance evaluation of the drought forecasting, the binary classification confusion matrix, such as evaluating the status of drought occurrence based on threshold, was constituted. Then Receiver Operating Characteristics (ROC) score and F score according to conditional probability are computed. As a result of ROC analysis on forecasting performance, drought forecasting performance, of applying the MLP-ANN model, shows satisfactory forecasting results. Consequently, two-month and five-month leading forecasts were possible for SPI (3) and SPI (6), respectively.

Multidimensional Networking Application of Ship Black Box and Forensic Data Extraction (다차원 네트워킹을 적용한 선박 블랙박스에서 Forensic자료 생성)

  • Park, Dea-Woo
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2009.10a
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    • pp.387-390
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    • 2009
  • Digital devices that apply Ubiquitous-IT Convergence in ship manufacture are used as ship automation device. Need sailing data recording of ship black box that equip integrity and consecutiveness as legal confesser fare that inquire responsibility whereabouts of disaster such as fire of ship. It is research that create Forensic data from ship black box using Multidimensional networking that use ZigBee radio short distance communications division Wireless LAN with short distance RFID sensor that is used in ship in this treatise, UWB communication, GPS and artificial satellite. Sailing recording of shipping that is recorded to black box is transmited, and stores doubly by real time on ship insurance company and ship administration recording membrane using SHA-1 hash function and secure consecutiveness and integrity as Forensic data through artificial satellite encoding by 3DES 1024bit.

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Estimation of High-resolution Sea Wind in Coastal Areas Using Sentinel-1 SAR Images with Artificial Intelligence Technique (Sentinel-1 SAR 영상과 인공지능 기법을 이용한 연안해역의 고해상도 해상풍 산출)

  • Joh, Sung-uk;Ahn, Jihye;Lee, Yangwon
    • Korean Journal of Remote Sensing
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    • v.37 no.5_1
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    • pp.1187-1198
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    • 2021
  • Sea wind isrecently drawing attraction as one of the sources of renewable energy. Thisstudy describes a new method to produce a 10 m resolution sea wind field using Sentinel-1 images and low-resolution NWP (Numerical Weather Prediction) data with artificial intelligence technique. The experiment for the South East coast in Korea, 2015-2020,showed a 40% decreased MAE (Mean Absolute Error) than the generic CMOD (C-band Model) function, and the CC (correlation coefficient) of our method was 0.901 and 0.826, respectively, for the U and V wind components. We created 10m resolution sea wind maps for the study area, which showed a typical trend of wind distribution and a spatially detailed wind pattern as well. The proposed method can be applied to surveying for wind power and information service for coastal disaster prevention and leisure activities.

Analysis of Geological Factors for Risk Assessment in Deep Rock Excavation in South Korea (한국의 대심도 암반 굴착 위험도 산정을 위한 인자 분석)

  • Ihm, Myeong Hyeok;Lee, Hana
    • Tunnel and Underground Space
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    • v.31 no.4
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    • pp.211-220
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    • 2021
  • Tunnel collapse often occurs during deep underground tunneling (> 40 m depth) in South Korea. Natural cavities as well as water supply pipes, sewer pipes, electric power cables, artificial cavities created by subway construction are complexly distributed in the artificial ground in the shallow depths of the urban area. For deep tunnel excavation, it is necessary to understand the properties of the ground which is characterized by porous elements and various geological structures, and their influence on the stability of the ground. This study analyzed geological factors for risk assessment in deep excavation in South Korea based on domestic and overseas case study. As a result, a total of 7 categories and 38 factors were derived. Factors with high weights were fault and fault clay, differential stress, rock type, groundwater and mud inrush, uniaxial compressive strength, cross-sectional area of tunnel, overburden thickness, karst and valley terrain, fold, limestone alternation, fluctuation of groundwater table, tunnel depth, dyke, RQD, joint characteristics, anisotropy, rockburst and so forth.