UK Services Innovation Network
HPL-2007-23
UK Services Innovation Network - Lyons, Michael; Pym, David; Taylor, Richard; Tofts, Chris; Peachey, Will
Keyword(s): services; innovation; network; high value
Abstract: Service economies have developed rapidly to the point at which they dominate many economies. A group of three companies, British Telecom, Hewlett Packard and IBM have been working together to understand how existing service models might develop and in particular, using the UK economy, the role that ...
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A System for Privacy-Aware Resource Allocation and Data Processing in Dynamic Environments
HPL-2006-185
A System for Privacy-Aware Resource Allocation and Data Processing in Dynamic Environments - Pearson, Siani; Casassa Mont, Marco
Keyword(s): privacy; privacy policies; trusted computing
Abstract: In this paper we describe a system for allocating computational resources to distributed applications and services (within distributed data centres and utility computing systems) in order to perform operations on personal or confidential data in a way that is compliant with associated privacy polici ...
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MUPPET: Mobile Ubiquitous Privacy Protection for Electronic Transactions
HPL-2006-141(R.1)
MUPPET: Mobile Ubiquitous Privacy Protection for Electronic Transactions - Cheng, Winnie; Li, Jun; Moore, Keith; Karp, Alan H.
Keyword(s): mobile technologies; privacy; security; access control; database; ubiquitous computing; information management; services infrastructure
Abstract: Mobile companions such as smartphones and PDAs are very personal and carry a lot of sensitive data about their owners. With new services aimed at providing more targeted information retrieval through increased interactions with these devices, privacy concerns of individuals must be addressed. Existi ...
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Detection of Textured Areas in Images Using a Disorganization Indicator Based on Component Counts
HPL-2005-175(R.1)
Detection of Textured Areas in Images Using a Disorganization Indicator Based on Component Counts - Bergman, Ruth; Nachlieli, Hila; Ruckenstein, Gitit
Keyword(s): texture detection; texture analysis; texture synthesis; image analysis
Abstract: An algorithm is presented for the detection of textured areas in digital images. Texture detection has potential application to image enhancement, tone correction, defect detection, content classification and image segmentation. For example, texture detection may be combined with a color model and o ...
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