Data Fusion for Situation Monitoring, Incident Detection, by E. Shahbazian, G. Rogova, P. Valin

By E. Shahbazian, G. Rogova, P. Valin

Info Fusion is a truly extensive interdisciplinary know-how area. It presents suggestions and strategies for; integrating info from a number of resources and utilizing the complementarities of those detections to derive greatest information regarding the phenomenon being saw; interpreting and deriving the which means of those observations and predicting attainable results of the saw nation of our surroundings; selecting the right plan of action; and controlling the activities. right here the point of interest is at the extra mature part of information fusion, particularly the detection and identification/classification of phenomena being saw and exploitation of the similar tools for Security-Related Civil technological know-how and know-how (SST) purposes. it's important to; extend at the facts fusion technique pertinent to state of affairs tracking, Incident Detection, Alert and reaction administration; talk about a few similar Cognitive Engineering and visualization matters; supply an perception into the architectures and methodologies for development an information fusion procedure; speak about fusion methods to photograph exploitation with emphasis on protection functions; speak about novel allotted monitoring ways as an important step of scenario tracking and incident detection; and supply examples of genuine occasions, within which information fusion can increase incident detection, prevention and reaction strength. on the way to supply a logical presentation of the knowledge fusion fabric, first the final ideas are highlighted (Fusion technique, Human desktop Interactions and platforms and Architectures), remaining with a number of purposes (Data Fusion for Imagery, monitoring and Sensor Fusion and functions and possibilities for Fusion).IOS Press is a global technology, technical and clinical writer of high quality books for teachers, scientists, and execs in all fields. the various parts we put up in: -Biomedicine -Oncology -Artificial intelligence -Databases and data structures -Maritime engineering -Nanotechnology -Geoengineering -All facets of physics -E-governance -E-commerce -The wisdom economic system -Urban stories -Arms keep watch over -Understanding and responding to terrorism -Medical informatics -Computer Sciences

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Additional resources for Data Fusion for Situation Monitoring, Incident Detection, Alert and Response Management (NATO Science Series. 3: Computer and Systems Sciences)

Sample text

Basic Concepts on Multiple Classifier Systems In the field of pattern recognition, research areas dealing with the fusion of multiple classifiers are known as “multiple classifier systems” [8,16]. Hereafter, we also use this term to illustrate the basic concepts on fusion of multiple classifiers. Basically, the multiple classifier system (MCS) consists of an ensemble of different classification algorithms and a “function” to fuse classifier outputs. More precisely, the different types of MCSs can be characterized by: – – the fusion architecture: parallel, serial, hybrid.

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