By Y. Li, M. Looi, N. Zhong
Within the nice electronic period, we're witnessing many quick clinical and technological advancements in human-centered, seamless computing environments, interfaces, units, and structures with functions starting from company and conversation to leisure and studying. those advancements are jointly most sensible characterised as lively Media expertise (AMT), a brand new region of clever info know-how and computing device technology that emphasizes the proactive, seamless roles of interfaces and platforms in addition to new media in all elements of electronic existence. An AMT established computing device approach bargains companies that let the fast layout, implementation, deploying and help of custom-made suggestions. This publication brings jointly papers from researchers from various parts, similar to internet intelligence, info mining, clever brokers, shrewdpermanent details use, networking and clever interface.IOS Press is a world technological know-how, technical and scientific writer of fine quality books for teachers, scientists, and execs in all fields. many of the parts we submit in: -Biomedicine -Oncology -Artificial intelligence -Databases and data platforms -Maritime engineering -Nanotechnology -Geoengineering -All facets of physics -E-governance -E-commerce -The wisdom economic climate -Urban stories -Arms keep an eye on -Understanding and responding to terrorism -Medical informatics -Computer Sciences
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Additional resources for Advances in Intelligent IT - Active Media Technology 2006, Proceedings of the 4th International Conference on Active Media Technology, AMT 2006, June 7-9, 2006, Brisbane, Australia
It offers a robust framework for rapid visual detection in grey scale images of frontal faces. Working with grey scale images provides a significant performance boost compared to other approaches involving color information. The algorithm classifies images based on Haar-like features rather than pixel data. These features are selected using Adaboost. Successively more complex classifiers are put in a cascade structure, which dramatically increases the speed of the detector by focusing attention on promising regions of the image.
Agents are the programs that will gather the contents of the semantic web process them and exchange them with other agents. Off course for the agents to exchange information with each other there will have to be some degree of proof between them that the information they gathered is true. Digital signatures and proofs can overcome this. XML allows authors of documents to create their own mark-up language, where the meaning of the 40 K. Curran and G. Gumbleton / Intelligent Decision Making with the Semantic Web information is placed in the document.
As a result, a workflow is generated as the service request (input) in the SOA. Service requests can be treated as the Internet workflow that requires corresponding pieces of software component to complete the task sequence requested by users. A service request can be further decomposed as a sequence of tasks. Each task requires a corresponding WS component to serve for the necessary functionalities. A concrete example of applying the concept of workflow on a service request is given as follows.