Results

The basic consideration of command and control architectures that reflect two main dimensions has been taken into account to develop the proposed architecture: the organizational structure and the communication network structure. On the other hand, the distributed nature of the system allows simulating in real time the same

Condición inestable que implica un cambio inminente, brusco o notable que requiere atención y medidas urgentes para proteger la vida, los recursos, la propiedad o el medioambiente.
 

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in different computers geographically separated, although the simulation server is centralized. The interactions of each participant (whether they are virtual or real entities) are seamless in order tomaintain coherence during the whole simulation.

Addressing 5 questions led the panel to offer 33 suggestions. Because of the large number of suggestions, the results have been separated into two sections: part I, Infrastructure/Capacity in the accompanying article, and part II, Response/Recovery/ Research in this article.A lack of rudimentary ICU resources and capacity to enhance services plagues resource-poor or constrained settings. Capacity building therefore entails preventative strategies and strengthening of primary health services. Assistance from other countries and organizations is often needed to mount a surge response. Moreover, the disengagement of these responding groups and host country recovery require active planning.

One of the contributions of this work is that it showcases the utility of microscopic traffic simulation for regional emergency preparedness and highlights opportunities and challenges related to the development of large scale microscopic simulation models. Moreover, the project finidngs can provide guidance to regional transportation officials and public safety qgencies toward implementing effective traffic management strategies in the event of an actual regional emergency.

The experiment confirms that the proposed model provides more accurate evaluations for global users and better supports geospatial resource utilizations in SDIs than previous mechanisms.

In general, the performance of the four approaches is very satisfying: out of the 20 water masks 17 reach OAs of >90% and 11 OAs of >95%. Also, both the UAs and the PAs give reasonable results for nearly all approaches, with most values clearly above 85.0%The four approaches give similar classification results of the PAs, UAs, and OAs in areas where open water surfaces are relatively smooth and the occurrence of water look alike areas is low, i.e. in the test areas of Vietnam and China. In areas of low contrast between open water surfaces and the surrounding non-water areas, the classification result strongly depends on the selected threshold value. In the test area of Mali, many sand-covered areas exist that exhibit backscatter levels nearly as low as water areasIn cases of occurring water look alike areas, TFS and RaMaFlood, which both use auxiliary data derived from digital elevation models, lead to the best classification results.

This article proposed algorithm based on fuzzy comprehensive evaluation algorithm, combining hierarchy analysis method (AHP), make the calculated conclusion more reliability and accuracy. By simulation show that the proposed algorithm based on AHP-fuzzy comprehensive evaluation method has higher accuracy compared with the general algorithm, it is more accord with people's demand for path under emergency conditions.Experiments show that the AHP-fuzzy comprehensive evaluation algorithm is more accord with people demand for path emergency conditions.

With the CDIRS method proposed in this paper, the heterogeneity and disorder can be avoided, and the targets and constraints of the offsite nuclear emergency response problems in the original space can be transformed into the target space, being processed unified by formal modeling and ordered reasoning.(1) The ‘‘feature mapping and space modeling – interoperable mediating and interoperability verifying – ordered integrating and reasoning” based CDIRS framework is proposed for offsite nuclear emergency response. (2) Under the CDIRS framework, the concrete space mapping and modeling principles are presented, and then the integrated decision-making problems can be mapped from the original space into the CDIRS spaces; (3) To solve the possible interoperability problems of the cross-domain integration processes, relevant interoperable mediator models and interoperability verifying methods of the CDIRS spaces are proposed; (4) The CDIRS spaces ordering principles and relevant basic reasoning rules are defined for obtaining the integrated cross-domain nuclear emergency response solutions; (5) the formally expression and achievement method based on the protégé tools is presented.

Experiments demonstrate that the precision and recall for detection of the definite locations against geotagging by human judgement are on average of 80%. We also conclude that the accuracy of geographical focus of the OzCT geotagger is considerably higher than other systems. While existing geocoding systems have lower coverage for suburb and street focus, our approach detects suburbs in more than 60% situations.

The EDER knowledge model provides a foundation for intelligent emergency response that helps solve knowledge problems to improve earthquake disaster response.

We have identified that Team Syntegrity could be useful in the steps User Integration, Designing the netAgora environment, developing Test Scenarios, and assessment of netAgora environment.