Data collection plan

Through the control room, one of two trainer nurses (JH, ES) rated trainees’ technical skill using ICATS-N. (For practical reasons (ongoing clinical commitment), it was not possible to have both trainers rating the trainees simultaneously, which precludes any analysis of interrater reliability.) On completion of the procedure, trainees also completed ICATS-N to rate their own performance and received feedback on their performance from the trainer.

Tools: Geography Markup Language (GML), the Web Feature Service (WFS), the Web Map Service (WMS), Open GIS ConsortiumIn case of a forest fire, real time delivery of geospatial information coming from a distributed wireless fire sensor network, camera or other source is of great importance.To provide real time capabilities in Web services, it is necessary network awareness that refers to the monitoring of the current conditions of the network. Network monitoring allows implementation of network control mechanisms through media transport protocols (i.e., TCP/IP, UDP or DCCP) able to automatically adapt media delivered streams to the current network capabilities maximizing, however, users’/service QoS requirements as much as possible.Two different types of geospatial data are supported: the archival and the real time data.The real time requirements are described using the WS-resource framework.Real time and archival data are published to the Real Time Middleware using a Web Service interface.The Real Time Middleware incorporates advanced data filtering methods for reducing the transmitted information. It is also responsible for preprocessing the spatial data in order to best support the required 3D visualization performance and to provide the pre-processed data layers required by the added-value services middleware layer.Data filtering is accomplished in the temporal, spatial and quality data direction.The Real Time Middleware incorporates methods that enable service interaction with the network layer of the OSI architecture. This interaction allows for a real time service streaming of the data.The presentation layer is responsible for transforming the received geospatial data in a format suitable for Web browser interface.

Three different groups of people rated the selected elements, they were asked to express agreement/disagreement concerning the incorporation of the item into the resilience guideline.Level of consensus between the different raters was calculated.Level of agreement for an item to be incorporated in the guidelines was 80%.If in the first round 80% was not reached, a second round was performed.Also, the final level of importance was calculated for each item. The importance was defined by calculating the median distribution of ranking into one of the following levels: essential, important, somewhat important, not important.

Missing detailsvideotape footage and validated ratingscales; Electromagnetic motion sensors; Leakage rate; etc

Simulation: Simple missions assigned to a trainee involve approaching the fire source to identify the accident, finding a fire hydrant, re-approaching the fire source to conduct firefighting activities, and finding nearby victims for rescue and evacuation

Modeling

Simulation; input data: tunnel characteristics, probability data

computational tests to evaluate the approximation and the performance of the continuous approximation modelTest based on synthetic data

simulation

The evaluation took place during the FIFA World Cup 2014 and tested the usability of the app with 112 users in Brazil and in Germany.The participants of the study consisted of 64 male and 48 female visitors of the public viewing areas of the FIFA World Cup 2014 (N = 112). The participants’ age ranged from 13 to 68 years