Adaptive Web collaborative processes are flexible processes executed on the Web, that can configure themselves according to information not available at definition time. In this paper we show how such processes can be supported by integrating an engine for flexible process definition and execution, Cooper, and a policy engine, Protune. The resulting framework is open in its nature, since it can...

The aim in information filtering is to provide users with a personalised selection of information, based on a description of their interest profile. In some domains, users will want access to such profiles even if they are system generated. We have performed a study of the effects of combining automatic profiling with explicit user involvement. Firstly, we wanted to explore if a machine-learned...

The mobile data roaming market in the European Union is characterized by a lack of competition which is one of the main reasons for wholesale and retail prices being well above cost-based prices. In 2012, the European Commission has enacted new regulatory measures such as allowing for more players competing in the wholesale data roaming market and forcing mobile network operators to unbundle ro...

A prototype system for the filtering and ranking of news items has been developed and a pilot test has been conducted. The user’s interests are modeled by a user interest hierarchy based on explicit user feedback with adaptive learning after each session. The system learned very quickly, reaching normalized recall values of over 0.9 within three sessions. When the user’s interests “drifted”, th...

Generation of immense quantity of underutilized marine processing byproducts has long been recognized as wastes and greater efforts were given to use these materials in various applications. With a great number of researches on these byproducts, some biologically active compounds were identified and applicated to the useful compounds for human utilization. Potential applications of proteins, li...

In this paper we construct adaptive user profiles from tagging data. We present and evaluate an algorithm for creating such profiles, characterizing its behavior through statistical analysis.

User profiles are typically stored locally within proprietary personalisation architectures at service providers. Replicating the same information of the user profile, e.g. email address, across multiple independent service providers decreases consistency of user profiles. Centralising or exchange profile information increases consistency of profiles. Law issues, company policies and proprietar...

This paper describes a new methodology based on peak load consideration for reliability evaluation of a generation system. The methodology has been developed using Simpson’s (1/3) rule for loss of load probability (LOLP) evaluation. Load models are considered as straight line and stepped load duration curve for reliability evaluation. The LOLP evaluation is based on peak load consideration. The...