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Most organizations in all sectors of industry, commerce and government are fundamentally dependent on their information systems (IS) and would quickly cease to function should the technology (preferably information technology - IT) that underpins their activities ever come to halt [15]. IS and IT may contribute towards efficiency, productivity and competitiveness improvements of both inter-organizational and intra-organizational systems [1]. Successful organizations manage IT function in much the same way that they manage their other strategic functions and processes. This in particular means that they understand and manage risks associated with growing IT opportunities as well as critical dependence of many business processes on IT and vice-versa. IT risk management issues are not only any more marginal or ‘technical’ problems and become more and more a ‘business problem’. Therefore, in this paper a Corporate IT Risk Management model is proposed and contemporary frameworks of IT Governance and IS Audit is shown and explained. [ABSTRACT FROM PUBLISHER]

A Microgrid is a devised grouping of loads, generation sources and energy storage interfaced through fast response power electronics to form a small scale power network. The paper discusses the complexities that could be faced by the existing Saudi Arabian Grid when Distributed Generation Resources are introduced to it. Considering a case of small microgrid and simulating a network similar to T and D structure of the Kingdom of Saudi Arabia (KSA), comparative analysis of two different buses (AC and DC) for the microgrid is presented. [ABSTRACT FROM PUBLISHER]

Chaotic sequences have been widely used as a kind of pseudorandom sequence. But some well known Chaotic sequences, such as Chebyshev sequence, have poor autocorrelation performance, and their applications are limited. Based on recently presented APAS theorem, we have modified Chebyshev map to S-Chebyshev map. S-Chebyshev sequence has excellent autocorrelation performance, whereas its other performances remain invariant or become better, and the sequence can be used more widely‥ [ABSTRACT FROM PUBLISHER]

Renewable based power generation has significantly increased over the last years. However, this process has evolved separately from electricity markets, leading to an inadequacy of the present market models to cope with huge quantities of renewable energy resources, and to take full advantage of the presently existing and the increasing envisaged renewable based and distributed energy resources. This paper proposes the modelling of electricity markets at several levels (continental, regional and micro), taking into account the specific characteristics of the players and resources involved in each level and ensuring that the proposed models accommodate adequate business models able to support the contribution of all the resources in the system, from the largest to the smaller ones. The proposed market models are integrated in MASCEM (Multi-Agent Simulator of Competitive Electricity Markets), using the multi agent approach advantages for overcoming the current inadequacy and significant limitations of the presently existing electricity market simulators to deal with the complex electricity market models that must be adopted [ABSTRACT FROM PUBLISHER]

In Prognostics and Health Management (PHM) considerations, data fusion technique is a corner step as it enables gathering non homogeneous condition information to provide a synthesizing view on component situations. Nevertheless with regards to complex industrial systems, efficient health monitoring should be addressed not only at component level but also at higher system abstraction levels since the decision making procedure relies on the global industrial system state. To face this issu e, one way consists first in gathering, in the form of vector, the different indicators carrying most important health information related to each system function. Then, a health state has to be computed by fusing each indicator vector taking into account their relevance and their relationships in accordance with the considered system level. It is proposed in this paper to use Choquet integral as an aggregation operator to support this health state development for each function within the system breaking up. It implies to formalize the capacities (Choquet integral parameters) from a bottom-up approach allowing to infer capacities of each system function from those computed at component level. It leads to trace the relevance of health information across the system levels. The feasibility and interest of this fusion approach are shown on an application structured with two system levels. [ABSTRACT FROM PUBLISHER]