Based on granular computing methodology, we propose two criteria to quantitatively measure privacy invasion. The total cost criterion measures the effort needed for a data recipient to find private information. The average benefit criterion measures the benefit a data recipient obtains when he received the released data. These two criteria remedy the inadequacy of the deterministic privacy form...

Smart Grid (SG) poses operational and business challenges for energy suppliers and utility companies that are readily met by Cloud Computing (CC). Given the distributed nature of SG and CC it is inevitable that the two technologies will become integrated. In this paper we discuss the risks and opportunities that CC presents to energy suppliers and utility companies, and consider what inherent a...

The soft computing approach for gaming is different from the traditional one that exploits knowledge of the opening, middle, and endgame stages. It is aims to evolve efficiently some simple heuristics that can be created easily from the basic knowledge of the game. Integrating sphere knowledge into soft computation can enhance the performance of evolved algorithmic methodologies and quicken the...

Cloud computing is without a doubt one of the most significant innovations presented in the global technological map. This new generation of technology has the potential to positively change our lives since on the one hand it provides capabilities that make our digital lives much easier, than before, while on the other hand it assists developers in creating services that can be disseminated eas...

At a university level, the conceptual stage of computerfacilitated learning (CFL) tends to be a faculty wide forum with ideas and inputs coming from many sources (e.g. academics, support staff, students). At the department level however, it is often a single academic who develops these ideas and attempts to satisfy the requirements. These requirements necessitate a full pedagogic understanding....

The possibility of using the increasing computing power available in cloud infrastructures requires development new approaches for application software and optimization. Emerging edge paradigms offer reducing bandwidth needs optimizing latency, features particularly relevant Big Data applications, by bringing computation closer to user data generation processes. However, pose several challenges...

We discuss methodologies to obtain solutions to complex mathematical problems derived from physical models. We present an approach based on series expansion, using discretization and averaging, and a stochastic approach. Various forms based on the Boltzmann equation are used as model problems. Each of the methodologies comes with its own strengths and weaknesses, which are briefly outlined. We ...

Definition Human-centered computing (HCC) is an emerging, interdisciplinary academic field broadly concerned with computing and computational artifacts as they relate to the human condition. HCC consists of a set of methodologies for designing, implementing, and deploying computing in any field that uses computing in any form. The definition of HCC is purposely broad, and this reflects the view...