The Experts below are selected from a list of 108345 Experts worldwide ranked by ideXlab platform
Jian Wang - One of the best experts on this subject based on the ideXlab platform.
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modeling and simulation for Natural Disaster contingency planning driven by high resolution remote sensing images
Future Generation Computer Systems, 2014Co-Authors: Jingying Chen, Xiaodao Chen, Ze Deng, Dan Chen, Kai Xu, Xuguang Zhang, Jian WangAbstract:Natural Disasters occur unexpectedly and usually result in huge losses of life and property. How to effectively make contingency plans is an intriguing question constantly faced by governments and experts. Human rescue operations are the most critical issue in contingency planning. A Natural Disaster scenario is, in general, highly complicated and dynamic. Modeling and simulation technologies have been gaining considerable momentum in investigating Natural Disaster scenarios to enable contingency planning. However, existing MS and (2) the absence of methods and platforms to describe the collective behaviors of people in Disaster situations. Considering these problems, an M&S framework for human rescue operations in a typical Natural Disaster, i.e., a landslide, has been developed in this study. The framework consists of three modules: (1) remote sensing information extraction, (2) landslide simulation, and (3)crowd simulation. The crowd simulation module is driven by the real/virtual data provided by the former modules. A number of simulations (using the Zhouqu landslide as an example) have been performed to study human relief operations spontaneously and under manipulation, with the effect of contingency plans highlighted. The experimental results demonstrate that (1) the simulation framework is an effective tool for contingency planning, and (2) real data can make the simulation outputs more meaningful. We enable evaluation of contingency plans using modelling and simulation technology.We model crowd behaviors under Natural Disasters.We develop a DDDAS simulation framework with the support of high resolution remote sensing information.
Yoshitaka Shibata - One of the best experts on this subject based on the ideXlab platform.
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Proposal of Information Acquisition Method Utilizing CCN in a Time of Large Scale Natural Disaster
2015 10th International Conference on P2P Parallel Grid Cloud and Internet Computing (3PGCIC), 2015Co-Authors: Masaya Yamazaki, Tomoyuki Ishida, Kazuhiro Takahagi, Noriki Uchida, Kaoru Sugita, Yoshitaka ShibataAbstract:We focused on Content Centric Networking (CCN) of the next generation network. CCN is the technology for which data is reused over the whole network by storing cache of data in each router. In this paper, we propose the information acquisition method utilizing CCN in a time of large scale Natural Disaster. We attempted a comparison between IP network and CCN over the network simulator. In this comparative verification, we established the cache hit ratio, the number of hops, and data acquisition time as the evaluation item. On comparative verification, we could confirm the utility of the CCN. CCN technology has a great potential that various information can be provided to victims in poor network conditions of a time of large scale Natural Disaster.
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Proposal of New Disaster Support System for Large-Scale Natural Disaster
2014 17th International Conference on Network-Based Information Systems, 2014Co-Authors: Tomoyuki Ishida, Kazuhiro Takahagi, Akira Sakuraba, Noriki Uchida, Yoshitaka ShibataAbstract:This paper proposes New Disaster Support System at the time of large-scale Natural Disaster. This Disaster Support System consists of Relief Supplies Distribution Management System and IC Card Authorization Safety Confirmation System. Relief Supplies Distribution Management System is a system which can calculate automatically the amount of relief supplies required for evacuation centers from a refugees attribute. IC Card Authorization Safety Confirmation System is a system which can grasp the refugees information on each evacuation center in real time. At the time of large-scale Natural Disaster, Disaster Support System enables distribution of the relief supplies in line with the current conditions of each evacuation center, by cooperation of Relief Supplies Distribution Management System and IC Card Authorization Safety Confirmation System.
Shiyuan Xu - One of the best experts on this subject based on the ideXlab platform.
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Design of integrated toolkit for coastal Natural Disaster risk assessment based on GIS technology
2011 19th International Conference on Geoinformatics, 2011Co-Authors: Jun Wang, Mingwu Ye, Shiyuan XuAbstract:Urban Natural Disaster risk research is one of the effective ways on urban regional implementation of risk reduction and mitigation strategies. Disaster risk assessment and zoning is the frontier and hot issue in international Disaster risk field. Geographic Information System (GIS) technology is an important aiding tool for Natural Disaster risk researches. Over the past five years, we studied the integrated toolkit for urban Natural Disaster risk research supported by Shanghai Youth Science and Technology Venus Program (09QA1401800) `Natural Disaster risk assessment and zoning in Shanghai based on the scenarios simulation technology' and National Science Key Foundation in China (40730526) `Study on Natural Disaster contingency planning for China's coastal cities based on risk scenario analysis'. The integrated toolkit system was designed and developed based on ArcEngine 9.3 components technology, NET Framework development environment, and C# language, it includes five functional modules: (1) evolution analysis of hazard-formative environments, (2) hazard analysis of Disaster-making factors, (3) vulnerability assessment of hazard-affected bodies, (4) Disaster loss assessment and risk zoning, and (5) simulation of Disaster emergency shelter. The integrated toolkit can be used by the government to establish urban Natural Disaster mitigation strategies.
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Multi-scale coupling and application of Natural Disaster risk analysis
2011 19th International Conference on Geoinformatics, 2011Co-Authors: Zhenlou Chen, Jun Wang, Mingwu Ye, Shiyuan XuAbstract:Differences in spatial scale appear in expression of Natural Disaster risk. The large-scale region spans up to global level, regional (continental) level, watershed level of major rivers, the Natural regional and national level. Grasping the principle of “good order, reasonable distribution”, the expression of Disaster risk map focuses on regional risk general trends and macroeconomic situation. The meso-scale regions contain Natural areas, sub-districts, the provinces, cities, regions of administrative division. Risk zoning services are for the regional long-term Disaster prevention and mitigation planning. It also provides accurate background parameters for small-scale Disaster risk assessment. The small-scale regions include Natural state, the district, county, town, village, streets and communities of the administrative divisions. The risk characterization of affected areas is to improve the accuracy of vulnerability assessment. It is also provide technical methods for Disaster risk assessment.
June Hyeok Hong - One of the best experts on this subject based on the ideXlab platform.
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Current trend in Natural Disaster warning systems based on computer vision techniques
The First Asian Conference on Pattern Recognition, 2011Co-Authors: Byoungchul Ko, Joonyoung Kwak, June Hyeok HongAbstract:In this paper, a review of vision-based Natural Disaster warning methods is presented. Because Natural Disaster warning is receiving a lot of attention in recent research, a comprehensive review of various Disaster-warning techniques developed in recent years is needed. This paper surveys recent studies on warning systems four different types of Natural Disaster, i.e., wildfire smoke and flame detection, water level detection for flood prevention, and coastal zone monitoring, using computer vision and pattern-recognition techniques. Finally, we conclude with some thoughts about future research directions.
Jose Alberto Quintanilha - One of the best experts on this subject based on the ideXlab platform.
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an analysis of geospatial technologies for risk and Natural Disaster management
ISPRS international journal of geo-information, 2012Co-Authors: Luiz Augusto Manfre, Eliane Hirata, Janaina Silva, Eduardo Jun Shinohara, Mariana Abrantes Giannotti, Ana Paula Camargo Larocca, Jose Alberto QuintanilhaAbstract:This paper discusses the use of spatial data for risk and Natural Disaster management. The importance of remote-sensing (RS), Geographic Information System (GIS) and Global Navigation Satellite System (GNSS) data is stressed by comparing studies of the use of these technologies for Natural Disaster management. Spatial data sharing is discussed in the context of the establishment of Spatial Data Infrastructures (SDIs) for Natural Disasters. Some examples of SDI application in Disaster management are analyzed, and the need for participation from organizations and governments to facilitate the exchange of information and to improve preventive and emergency plans is reinforced. Additionally, the potential involvement of citizens in the risk and Disaster management process by providing voluntary data collected from volunteered geographic information (VGI) applications is explored. A model relating all of the spatial data-sharing aspects discussed in the article was suggested to elucidate the importance of the issues raised.
