In this paper, we present an integrated system architecture for metacomputing on top of distributed scientific resources via semantic-driven information management. Our approach is to consider both data and programs a...
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Electroencephalograph (EEG) recordings during right and left motor imagery can be used to move a cursor to a target on a computer screen. Such an EEG-based bra in-computer interface (BCI) can provide a new communicati...
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The design of an embedded DraM based on MOSFETs with alternative gate dielectrics is presented and analysed. Design and evaluation of NMOS devices with high-k dielectric gate insulators and DraM circuits took place. R...
Squarers modulo M are useful design blocks for digital signal processors that internally use a residue number system and for implementing the exponentiators required in cryptographic algorithms. In these applications,...
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Virtual Enterprises are a, relatively, new business model that is greatly depended on network technology. Providing services in such an environment is a challenge in itself;architectural, technological and organisatio...
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Virtual Enterprises are a, relatively, new business model that is greatly depended on network technology. Providing services in such an environment is a challenge in itself;architectural, technological and organisational difficulties have not permitted yet the development of a framework for Virtual Enterprise enaction. In this paper we describe a Virtual Private Network architecture that uses special monitor and coordination processes in order to achieve efficient delivery of services and activities in Virtual Enterprise environments. We discuss the general architecture of the system, emphasising on the solutions used to monitor and co-ordinate various activities.
Today, peer-to-peer (P2P) networks, e.g., filesharing networks like Gnutella, are specialised towards specific purposes. New P2P networks have to be created and installed to support new purposes. Furthermore, current ...
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The challenge of the Semantic Web Mining technologies in the e-Learning domain can relate to the provision of personalized experiences for the users. Particularly, these applications can take into consideration the in...
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ISBN:
(纸本)0889864802
The challenge of the Semantic Web Mining technologies in the e-Learning domain can relate to the provision of personalized experiences for the users. Particularly, these applications can take into consideration the individual needs and requirements of learners. In this paper, we propose a framework for personalised e-Learning based on aggregate usage profiles and a domain ontology. We have distinguished two stages in the whole process, one of offline tasks that includes data preparation, ontology creation and usage mining and one of online tasks that concerns the production of recommendations.
Generic web search is designed to serve all users, independent of the individual needs and without any adaptation to personal requirements. We propose a novel technique1 that performs post-categorization to the result...
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ISBN:
(纸本)0769522742
Generic web search is designed to serve all users, independent of the individual needs and without any adaptation to personal requirements. We propose a novel technique1 that performs post-categorization to the results of popular search engines at the client's side. A user profile is built based on user's choices from a category hierarchy (explicitly given requirements) and user's search history (implicitly logged choices). Caching is utilized in order to provide improved responses. An experimental prototype has been implemented based on results coming from a popular search engine. The experimental results indicate strongly that the proposed mechanism is both effective and efficient.
We propose a simple and intuitive cost mechanism which assigns costs for the competitive usage of m resources by n selfish agents. Each agent has an individual demand;demands are drawn according to some probability di...
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This work aims a two-fold contribution: it presents a software to analyse logfiles and visualize popular web hot spots and, additionally, presents an algorithm to use this information in order to identify subsets of t...
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ISBN:
(纸本)1595930515
This work aims a two-fold contribution: it presents a software to analyse logfiles and visualize popular web hot spots and, additionally, presents an algorithm to use this information in order to identify subsets of the website that display large access patterns. Such information is extremely valuable to the site maintainer, since it indicates points that may need content intervention or/and site graph restructuring. Experimental validation verified that the visualization tool, when coupled with algorithms that infer frequent traversal patterns, is both effective in indicating popular hot spots and efficient in doing so by using graph-based representations of popular traversals.
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