By Y. Li, M. Looi, N. Zhong
Within the nice electronic period, we're witnessing many fast medical and technological advancements in human-centered, seamless computing environments, interfaces, units, and platforms with purposes starting from enterprise and conversation to leisure and studying. those advancements are jointly top characterised as lively Media know-how (AMT), a brand new sector of clever details know-how and machine technology that emphasizes the proactive, seamless roles of interfaces and structures in addition to new media in all facets of electronic lifestyles. An AMT dependent computing device approach deals prone that let the swift layout, implementation, deploying and aid of custom-made ideas. This ebook brings jointly papers from researchers from diversified parts, comparable to net intelligence, info mining, clever brokers, clever info use, networking and clever interface.IOS Press is a world technological know-how, technical and clinical writer of top quality books for teachers, scientists, and execs in all fields. a number of the parts we post in: -Biomedicine -Oncology -Artificial intelligence -Databases and knowledge structures -Maritime engineering -Nanotechnology -Geoengineering -All elements of physics -E-governance -E-commerce -The wisdom economic climate -Urban stories -Arms keep watch over -Understanding and responding to terrorism -Medical informatics -Computer Sciences
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Extra info 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
Our implementation of a head-tracking algorithm, based on the Lucas-Kanade optical flow algorithm (henceforth referred to as LK-Tracker), as described by Vámossy, Tóth and Hirschberg (2004), avoids any specialized hardware. The system 26 F. Loewenich and F. Maire / A Head-Tracker Based on the Lucas-Kanade Optical Flow Algorithm instead relies on a common web camera device, making the technology easily available to all computer users at low cost. The remainder of this paper discusses available assistive technologies for users with a disability in Section 1.
Conclusion In this paper we present a distributed recommender system model that is based on the contract net protocol [11,12]. Within the proposed model, recommender system peers from different organizations are considered as self-interested peers. In each round of recommendation making, the peer that receives recommendation request from the user is regarded as a manger agent, and the other peers that receive request from the manager agent are considered as contractor agent (a recommender peer can play both manager or contractor roles, but within one recommendation making round, they can only play one role.
Supply ratings to the recommendations. 9. Based on the user rating, evaluate the performance of the peers and update the peers profiles. 10. Feedback and reward peers based on their performances on the task. 11. Based on the feedback update the manage agent’s profile. From Figure 1, it can be seen that when a recommender peer is requested to make a recommendation for a user, it acts as a manager agent. In the role of a manager agent, the recommender first generates a strategy about how and what to recommend to the user based on the user’s profile and request, then chooses a set of recommender peers (in this context, they act as contractor agents) based on the strategy and the profiles of peer recommenders, and makes requests for recommendations to these selected recommender peers.