| Records |
Author  |
Chao Huang; Shifei Shen; Quanyi Huang |
| Title |
An approach based on environment attributes for representation of disaster cases |
Type |
Conference Article |
| Year |
2012 |
Publication |
ISCRAM 2012 Conference Proceedings – 9th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2012 |
| Volume |
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Issue |
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Pages |
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| Keywords |
Civil defense; Fuzzy sets; Information systems; Risk management; Case representation; Case retrieval; Emergency management; Environmental contributes; Environmental factors; Large-scale disasters; New approaches; Similar case; Disasters |
| Abstract |
In this paper we overview the ongoing research into the application of case-based reasoning in emergency management, based on which we propose a new approach for representation of large-scale disaster cases. The approach takes the environmental factors into account, and the case is organized according to key scenes, rather than disaster types. Each scene consists of inherent attributes, which are concerned with the disaster type, and environment attributes, which usually facilitate the adjustment of the decision-making, and sometimes play crucial role. To describe the environment attributes, the fuzzy sets are employed to take use of the non-quantitative information. The nearness of the fuzzy sets is used to retrieve the similar case. Based on this approach, the case retrieval could even extract the case with different type but similar environment, supposing the inherent attribute is analogous. © 2012 ISCRAM. |
| Address |
Tsinghua University, China |
| Corporate Author |
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Thesis |
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| Publisher |
Simon Fraser University |
Place of Publication |
Vancouver, BC |
Editor |
L. Rothkrantz, J. Ristvej, Z.Franco |
| Language |
English |
Summary Language |
English |
Original Title |
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| Series Editor |
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Series Title |
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Abbreviated Series Title |
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| Series Volume |
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Series Issue |
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Edition |
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| ISSN |
2411-3387 |
ISBN |
9780864913326 |
Medium |
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| Track |
Poster Session |
Expedition |
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Conference |
9th International ISCRAM Conference on Information Systems for Crisis Response and Management |
| Notes |
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Approved |
no |
| Call Number |
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Serial |
134 |
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| Author |
Chao Sun; Fushen Zhang; Shaobo Zhong; Quanyi Huang |
| Title |
Expression and Deduction of emergency scenario based on scenario element model |
Type |
Conference Article |
| Year |
2015 |
Publication |
ISCRAM 2015 Conference Proceedings ? 12th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2015 |
| Volume |
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Issue |
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Pages |
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| Keywords |
Contingency plan; Emergencies; Evolution of scenario; Scenario; Scenario Element |
| Abstract |
In the context of an era filled with frequent occurrence of emergencies, it is urgent to carry out effective treatment. The existing studies focus their research on general rule of emergency evolution, ignoring the consideration of concrete composition of scenario, whilethe formulation of contingency plan based on the real evolution process of the emergency is rare. In this paper, the basic model of scenario elements is proposed firstly. Next, from the perspective of evolution and disposal of emergency, the framework of scenario for emergencies and emergency disposal is put forward, which paves the way for depiction and scenario analysis of emergency. Finally, this paper takes the stampede as an example, dividing the scenario of emergency and its components, namely scenario elements, and representing the evolution scenario of stampede by scenario elements model. Our method takes advantage of scenario elements model to provide support for the formulation and evaluation of emergency exercise. |
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| Corporate Author |
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Thesis |
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| Publisher |
University of Agder (UiA) |
Place of Publication |
Kristiansand, Norway |
Editor |
L. Palen; M. Buscher; T. Comes; A. Hughes |
| Language |
English |
Summary Language |
English |
Original Title |
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| Series Editor |
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Series Title |
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Abbreviated Series Title |
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| Series Volume |
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Series Issue |
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Edition |
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| ISSN |
2411-3387 |
ISBN |
9788271177881 |
Medium |
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| Track |
Analytical Modelling and Simulation |
Expedition |
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Conference |
ISCRAM 2015 Conference Proceedings ? 12th International Conference on Information Systems for Crisis Response and Management |
| Notes |
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Approved |
no |
| Call Number |
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Serial |
1189 |
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| Author |
Ke Wang; Yongsheng Yang; Genserik Reniers; Jian Li; Quanyi Huang |
| Title |
An Attribute-based Model to Retrieve Storm Surge Disaster Cases |
Type |
Conference Article |
| Year |
2021 |
Publication |
ISCRAM 2021 Conference Proceedings – 18th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
Iscram 2021 |
| Volume |
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Issue |
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Pages |
567-580 |
| Keywords |
Storm surge disaster, multiple attributes, retrieval model, affected region prediction |
| Abstract |
In China, storm surge disasters cause severe damages in coastal regions. One of the most important tasks is to predict affected regions and their relative damage levels to support decision-making. This study develops a two-stage retrieval model to search the most similar past disaster case to complete prediction. Based on spatial attributes of cases, the top-ranking past cases with a similar location to the target case are selected. Among these past cases, the most similar past case is selected by disaster attribute similarities. Three typical storm surge case studies have been used and implemented into this proposed model and the results show that all the most affected regions can be predicted. The proposed model simplifies the prediction process and updates results quickly. This study provides useful information for the government to make real-time response plans. |
| Address |
Tsinghua University; Tsinghua University; KU Leuven; Tsinghua University; Tsinghua University |
| Corporate Author |
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Thesis |
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| Publisher |
Virginia Tech |
Place of Publication |
Blacksburg, VA (USA) |
Editor |
Anouck Adrot; Rob Grace; Kathleen Moore; Christopher W. Zobel |
| Language |
English |
Summary Language |
English |
Original Title |
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| Series Editor |
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Series Title |
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Abbreviated Series Title |
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| Series Volume |
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Series Issue |
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Edition |
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| ISSN |
978-1-949373-61-5 |
ISBN |
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Medium |
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| Track |
Planning, Foresight and Risk Analysis |
Expedition |
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Conference |
18th International Conference on Information Systems for Crisis Response and Management |
| Notes |
wangke16@mails.tsinghua.edu.cn |
Approved |
no |
| Call Number |
ISCRAM @ idladmin @ |
Serial |
2356 |
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| Author |
Min Zhu; Ruxue Chen; Shi Chen; Shaobo Zhong; Cheng Liu; Tianye Lin; Quanyi Huang; Xin Zhai |
| Title |
A Conceptual Double Scenario Model for Predicting Medical Service Needs in the International Disaster Relief Action |
Type |
Conference Article |
| Year |
2018 |
Publication |
ISCRAM 2018 Conference Proceedings – 15th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
Iscram 2018 |
| Volume |
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Issue |
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Pages |
409-418 |
| Keywords |
Disaster Relief; Medical Service Needs; Scenario Model |
| Abstract |
Man-made and natural disasters have affected people worldwide. Mass casualty incidents would create a surge in demand for medical services. Medical service needs are the basis of medical strategic readiness plan. In recent years, international actions have been criticized for being ill-adapted to dominating health needs of the affected region. The “Scenario-Response” modeling is an important method in disaster prediction. This research established a medical service needs scenario model with two different levels of ambition: a disaster scenario, in which casualty figure, composition of injuries are constrained by the types of the disaster as well as the degree of the damage, and a country scenario, in which the healthcare needs are constrained by the health coverage and the health condition of local people. Armed conflicts in Yemen and Syria Arab Republic were analyzed by this model. The results showed that the outcome of this model fit the reality. |
| Address |
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Thesis |
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| Publisher |
Rochester Institute of Technology |
Place of Publication |
Rochester, NY (USA) |
Editor |
Kees Boersma; Brian Tomaszeski |
| Language |
English |
Summary Language |
English |
Original Title |
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| Series Editor |
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Series Title |
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Abbreviated Series Title |
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| Series Volume |
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Series Issue |
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Edition |
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| ISSN |
2411-3387 |
ISBN |
978-0-692-12760-5 |
Medium |
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| Track |
Planning, Foresight and Risk Analysis |
Expedition |
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Conference |
ISCRAM 2018 Conference Proceedings - 15th International Conference on Information Systems for Crisis Response and Management |
| Notes |
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Approved |
no |
| Call Number |
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Serial |
2118 |
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| Author |
Min Zhu; Ruxue Chen; Tianye Lin; Quanyi Huang; Guang Tian |
| Title |
Describing and Forecasting the Medical Resources assignments for International Disaster Medical relief Forces Using an Injury-Driven Ontology Model |
Type |
Conference Article |
| Year |
2019 |
Publication |
Proceedings of the 16th International Conference on Information Systems for Crisis Response And Management |
Abbreviated Journal |
Iscram 2019 |
| Volume |
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Issue |
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Pages |
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| Keywords |
Medical Resource Assignment, Disaster Medical Relief, Injury-Driven Ontology Model. |
| Abstract |
Available medical resources are the basis of efficient disaster medical relief. The medical resources assignment for disaster medical relief forces is usually fixed. However, the injury condition distribution changes in different disaster and so does the demand for the medical resources. So the assignment of medical relief forces should be more flexible and based on the injury. We analyzed the component parts and rules of disaster medical relief, defining the related concepts and rules. Then, we constructed the describing rules of injury-treatment-medical-technique-resource-assignment process. Based on these, we established the ontology of disaster medical relief system and the injury-driven medical resources assignment ontology model (MRAOM). We used the model to describe the medical relief situation after earthquake to demonstrate the model could describe complicated situations. We also used the model to describe and forecast the medical resource assignment of treating batch wounded to demonstrate the model's validity. |
| Address |
6th Medical Center of General Hospital of PLA, China;Tsinghua University, China, People's Republic of China |
| Corporate Author |
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Thesis |
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| Publisher |
Iscram |
Place of Publication |
Valencia, Spain |
Editor |
Franco, Z.; González, J.J.; Canós, J.H. |
| Language |
English |
Summary Language |
English |
Original Title |
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| Series Editor |
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Series Title |
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Abbreviated Series Title |
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| Series Volume |
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Series Issue |
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Edition |
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| ISSN |
2411-3387 |
ISBN |
978-84-09-10498-7 |
Medium |
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| Track |
T7- Planning, Foresight and Risk Analysis |
Expedition |
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Conference |
16th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2019) |
| Notes |
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Approved |
no |
| Call Number |
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Serial |
1926 |
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