• Title/Summary/Keyword: Disaster and Safety Network

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Design, calibration and application of wireless sensors for structural global and local monitoring of civil infrastructures

  • Yu, Yan;Ou, Jinping;Li, Hui
    • Smart Structures and Systems
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    • v.6 no.5_6
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    • pp.641-659
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    • 2010
  • Structural Health Monitoring (SHM) gradually becomes a technique for ensuring the health and safety of civil infrastructures and is also an important approach for the research of the damage accumulation and disaster evolving characteristics of civil infrastructures. It is attracting prodigious research interests and the active development interests of scientists and engineers because a great number of civil infrastructures are planned and built every year in mainland China. In a SHM system the sheer number of accompanying wires, fiber optic cables, and other physical transmission medium is usually prohibitive, particularly for such structures as offshore platforms and long-span structures. Fortunately, with recent advances in technologies in sensing, wireless communication, and micro electro mechanical systems (MEMS), wireless sensor technique has been developing rapidly and is being used gradually in the SHM of civil engineering structures. In this paper, some recent advances in the research, development, and implementation of wireless sensors for the SHM of civil infrastructures in mainland China, especially in Dalian University of Technology (DUT) and Harbin Institute of Technology (HIT), are introduced. Firstly, a kind of wireless digital acceleration sensors for structural global monitoring is designed and validated in an offshore structure model. Secondly, wireless inclination sensor systems based on Frequency-hopping techniques are developed and applied successfully to swing monitoring of large-scale hook structures. Thirdly, wireless acquisition systems integrating with different sensing materials, such as Polyvinylidene Fluoride(PVDF), strain gauge, piezoresistive stress/strain sensors fabricated by using the nickel powder-filled cement-based composite, are proposed for structural local monitoring, and validating the characteristics of the above materials. Finally, solutions to the key problem of finite energy for wireless sensors networks are discussed, with future works also being introduced, for example, the wireless sensor networks powered by corrosion signal for corrosion monitoring and rapid diagnosis for large structures.

Characteristics of Social Security Contained in Mecius's People-Care Theory(保民論) (맹자의 보민론(保民論)이 지닌 사회보장적 성격)

  • Yoo, Jong Kook
    • Korean Journal of Social Welfare
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    • v.65 no.1
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    • pp.109-126
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    • 2013
  • This paper aims to define Mecius's people-care theory(保民論), and aims to recognize the characteristics of social security contained in Mecius's people-care theory. Mecius considered to the public relief as King's obligation. So to speak, the King protects to the property of the people. Especially his people-care theory implicate to continuity of safety life, a relief fund on the property, protection of disaster damage. Continuity of safety life means to enabling the people procurable food, clothing and bury dead persons without difficulties. It's may be said that implicated to the theory and system of modern social-welfare. It is reason for his opinion that a state should construct in the minimum social safety network by taking responsibility for basis needs of life. He was a humanist so much. He thought about the pursuit of the human happiness and the improvement in quality of life. Therefore his idea nearly means to the social security system in a modern sense. His thought is not only an ideal background on the public assistance and a social relief security in the contemporary but also a relief activity system such as Jindaebup called historical prototype of social welfare. It is an important fact that his people-care theory implicate to social security system.

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Implementation of Dynamic Context-Awareness Platform for Internet of Things(IoT) Loading Waste Fire-Prevention based on Universal Middleware (유니버설미들웨어기반의 IoT 적재폐기물 화재예방 동적 상황인지 플랫폼 구축)

  • Lee, Hae-Jun;Hwang, Chi-Gon;Yoon, Chang-Pyo
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.26 no.8
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    • pp.1231-1237
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    • 2022
  • It is necessary to dynamic recognition system with real time loading height and pressure of the loading waste, the drying of wood, batteries, and plastic wastes, which are representative compositional wastes, and the carbonization changes on the surface. The dynamic context awareness service constituted a platform based on Universal Middleware system using BCN convergence communication service as a Ambient SDK model. A context awareness system should be constructed to determine the cause of the fire based on the analysis data of fermentation heat point with natural ignition from the load waste. Furthermore, a real-time dynamic service platform that could be apply to the configuration of scenarios for each type from early warning fire should be built using Universal Middleware. Thus, this issue for Internet of Things realize recognition platform for analyzing low temperature fired fire possibility data should be dynamically configured and presented.

Analysis of Improvement Effects on Building Approach Vulnerability by Expanding Emergency Rescue Centers in Busan (부산지역 119구조대 증설을 통한 건축물 접근취약성 개선효과 분석)

  • Choi, Jun-Ho;Lee, Ji-Soo;Hong, Won-Hwa
    • Fire Science and Engineering
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    • v.29 no.5
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    • pp.79-87
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    • 2015
  • The placement of Korean fire-fighting administrative power in urban areas shows regional unbalance. In an ideal system, all citizens would be provided with equal fire protection and rescue services, but this is usually difficult to realize due to regional conditions or budget problems. In the case of Busan Metropolitan City, we deduced that it is impossible for half of the buildings to receive rescue services within 5 min, and the conditions are much worse for areas with long or wide fire-fighting service regions. The approach vulnerability for the existing emergency rescue squad locations was assessed. The results revealed that if a rescue team's location is shifted, the improvement effect will be virtually insignificant because of their geographical position. Therefore, this study suggests the establishment of additional rescue squads. It is proven that adding 5 rescue centers in the following locations could solve the problem of approach vulnerability: Bukbu, Gangseo, Geumjeong, Gijang, and Haeundae, in order of effectiveness. The number of buildings in the areas is 53,546.

Smart Escape Support System for Passenger Ship : Active Dynamic Signage & Real-time Escape Routing (능동형 피난유도기기와 실시간 피난경로생성 기술을 적용한 여객선 스마트 인명대피 시스템)

  • Choi, James;Yang, Chan-Su
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2017.11a
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    • pp.79-85
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    • 2017
  • It is critical that passengers should be given timely and correct escape or evacuation guidance from captain and crews when there are hazardous situations in a ship. Otherwise the consequences could be disastrous as "SEWOL Ferry" the South Korean passenger ship which sank in southern coastal area on 16th April 2014. Due to the captain's delayed evacuation decision and lack of sufficient number of crews to guide passengers' evacuation, the accident recorded many casualties, most of whom were high school students (302 passengers sank down with the ship while 172 rescued). Building a passenger ship with well-designed physical escape routes is one thing and guiding passengers to those escape routes in real disaster situation is another. Passengers get panic and move to a wrong direction, bottleneck makes situation worse, and even crews get panic also - passive static escape route signage and small number of trained crews might not be enough to take care of them. SESS (Smart Escape Support System) is being developed sponsored by South Korea Ministry of Ocean and Fisheries starting from 2016 with 4 years of roadmap. SESS comprises multiple active dynamic signage devices which communicate with real-time escape routing server software via LoRa (Long Range) proprietary wireless network.

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Analysis of the Spread of Issues Related to COVID-19 Vaccine on Twitter: Focusing on Issue Salience (코로나19 백신 관련 트위터 상의 이슈 확산 양상 분석: 이슈 현저성을 중심으로)

  • Hong, Juhyun;Lee, Mina
    • The Journal of the Convergence on Culture Technology
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    • v.7 no.4
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    • pp.613-621
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    • 2021
  • This study conducted a network analysis to determine how COVID-19 vaccine-related issue spread on Twitter during the introduction stage of the COVID-19. Issue diffusion tendency is analyzed according to the time period: phase 1 (initiation of vaccine introduction: March 7 - April 3, 2021), phase 2 (stagnant period of vaccination: April 4 - April 22, 2021), and phase 3 (increase of vaccination: April 23 - May 5, 2021). NodeXL was used for data collection and analysis. Daily Twitter network data were collected by entering search terms highly related to the COVID-19 vaccine. This study found that side effects-related opinions were repeatedly formed throughout the analysis period. As the vaccination rate increased and death cases were reported on media, death-related issues also emerged on Twitter. On the other hand, vaccine safety did not receive much attention on Twitter. The results of this study highlight the role of social media as a channel of issue diffusion when a national disaster strikes. We emphasize the need for the government to monitor public opinions on social media and reflect them in crisis communication strategies.

A fundamental study on the development of feasibility assessment system for utility tunnel by urban patterns (도심지 유형별 공동구 설치 타당성 평가시스템 개발에 관한 기초 연구)

  • Lee, Seong-Won;Sim, Young-Jong;Na, Gwi-Tae
    • Journal of Korean Tunnelling and Underground Space Association
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    • v.19 no.1
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    • pp.11-27
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    • 2017
  • The road network system of major domestic urban areas such as city of Seoul was rapidly developed and regionally expanded. In addition, many kinds of life-lines such as electrical cables, telephone cables, water&sewerage lines, heat&cold conduits and gas lines were needed in order for urban residents to live comfortably. Therefore, most of the life-lines were individually buried in underground and individually managed. The utility tunnel is defined as the urban planning facilities for commonly installing life-lines in the National Land Planning Act. Expectation effectiveness of urban utility tunnels is reducing repeated excavation of roads, improvement of urban landscape; road pavement durability; driving performance and traffic flow. It can also be expected that ensuring disaster safety for earthquakes and sinkholes, smart-grind and electric vehicle supply, rapid response to changes in future living environment and etc. Therefore, necessity of urban utility tunnels has recently increased. However, all of the constructed utility tunnels are cut-and-cover tunnels domestically, which is included in development of new-town areas. Since urban areas can not accommodate all buried life-lines, it is necessary to study the feasibility assessment system for utility tunnel by urban patterns and capacity optimization for urban utility tunnels. In this study, we break away from the new-town utility tunnels and suggest a quantitative assessment model based on the evaluation index for urban areas. In addition, we also develop a program that can implement a quantitative evaluation system by subdividing the feasibility assessment system of urban patterns. Ultimately, this study can contribute to be activated the urban utility tunnel.

Prediction of cyanobacteria harmful algal blooms in reservoir using machine learning and deep learning (머신러닝과 딥러닝을 이용한 저수지 유해 남조류 발생 예측)

  • Kim, Sang-Hoon;Park, Jun Hyung;Kim, Byunghyun
    • Journal of Korea Water Resources Association
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    • v.54 no.spc1
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    • pp.1167-1181
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    • 2021
  • In relation to the algae bloom, four types of blue-green algae that emit toxic substances are designated and managed as harmful Cyanobacteria, and prediction information using a physical model is being also published. However, as algae are living organisms, it is difficult to predict according to physical dynamics, and not easy to consider the effects of numerous factors such as weather, hydraulic, hydrology, and water quality. Therefore, a lot of researches on algal bloom prediction using machine learning have been recently conducted. In this study, the characteristic importance of water quality factors affecting the occurrence of Cyanobacteria harmful algal blooms (CyanoHABs) were analyzed using the random forest (RF) model for Bohyeonsan Dam and Yeongcheon Dam located in Yeongcheon-si, Gyeongsangbuk-do and also predicted the occurrence of harmful blue-green algae using the machine learning and deep learning models and evaluated their accuracy. The water temperature and total nitrogen (T-N) were found to be high in common, and the occurrence prediction of CyanoHABs using artificial neural network (ANN) also predicted the actual values closely, confirming that it can be used for the reservoirs that require the prediction of harmful cyanobacteria for algal management in the future.

The Improvement Index of Smart Public Services to Advance Information Accessibility for the Elderly (고령자 정보접근성 향상을 위한 스마트 공공서비스 지표)

  • Kim, Mi-Yun;Byun, Sung-Jun
    • Journal of Digital Convergence
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    • v.16 no.5
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    • pp.43-53
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    • 2018
  • Recently, public service for the improvement of quality of life and life support such as safety, aging, disaster, welfare, housing, economy, urban environment, traffic etc are actively developed based on open public data, and the spread of the network and the necessity of everyday life, smartphones are playing a role in providing public services. Currently, the development of science is changing the life expectancy of human beings and changing into social structure in which aged people become bigger due to various social conditions and low fertility and aging problems. However, the elderly who do not have easy access to information are very uncomfortable in dealing with mobile devices with very low accessibility and utilization of public services provided by mobile phones. Therefore, this study recategorizes the condition of the elderly presented in the previous study and identifies the problem through case analysis provided for the elderly. Also, we summarize the hierarchy of the core items of the existing interface design and derive it as an improvement index of the public service design for the improvement of the information accessibility of the elderly, and propose a design method to improve the utilization of the public service provided through the mobile device.

AutoML and Artificial Neural Network Modeling of Process Dynamics of LNG Regasification Using Seawater (해수 이용 LNG 재기화 공정의 딥러닝과 AutoML을 이용한 동적모델링)

  • Shin, Yongbeom;Yoo, Sangwoo;Kwak, Dongho;Lee, Nagyeong;Shin, Dongil
    • Korean Chemical Engineering Research
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    • v.59 no.2
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    • pp.209-218
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    • 2021
  • First principle-based modeling studies have been performed to improve the heat exchange efficiency of ORV and optimize operation, but the heat transfer coefficient of ORV is an irregular system according to time and location, and it undergoes a complex modeling process. In this study, FNN, LSTM, and AutoML-based modeling were performed to confirm the effectiveness of data-based modeling for complex systems. The prediction accuracy indicated high performance in the order of LSTM > AutoML > FNN in MSE. The performance of AutoML, an automatic design method for machine learning models, was superior to developed FNN, and the total time required for model development was 1/15 compared to LSTM, showing the possibility of using AutoML. The prediction of NG and seawater discharged temperatures using LSTM and AutoML showed an error of less than 0.5K. Using the predictive model, real-time optimization of the amount of LNG vaporized that can be processed using ORV in winter is performed, confirming that up to 23.5% of LNG can be additionally processed, and an ORV optimal operation guideline based on the developed dynamic prediction model was presented.