Author
Marco Aiello
Other affiliations: University of Pisa, Vienna University of Technology, University of Catania ...read more
Bio: Marco Aiello is an academic researcher from University of Stuttgart. The author has contributed to research in topics: Web service & Smart grid. The author has an hindex of 40, co-authored 359 publications receiving 8024 citations. Previous affiliations of Marco Aiello include University of Pisa & Vienna University of Technology.
Papers published on a yearly basis
Papers
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TL;DR: A novel survey of prominent international intelligent buildings research efforts with the theme of energy saving and user activity recognition is provided, determining the most valuable activities and behaviours and their impact on energy saving potential for each of the three main subsystems, i.e., HVAC, light, and plug loads.
658 citations
TL;DR: A survey of the most relevant scientific studies investigating the properties of different Power Grids infrastructures using Complex Network Analysis techniques and methodologies and traces the evolution in such field of the approach of study during the years to see the improvement achieved in the analysis.
Abstract: The statistical tools of Complex Network Analysis are of useful to understand salient properties of complex systems, may these be natural or pertaining human engineered infrastructures. One of these that is receiving growing attention for its societal relevance is that of electricity distribution. In this paper, we present a survey of the most relevant scientific studies investigating the properties of different Power Grids infrastructures using Complex Network Analysis techniques and methodologies. We categorize and explore the most relevant literature works considering general topological properties, physical properties, and differences between the various graph-related indicators and reliability aspects. We also trace the evolution in such field of the approach of study during the years to see the improvement achieved in the analysis.
586 citations
Posted Content•
TL;DR: In this article, the authors present a survey of the most important scientific studies investigating the properties of different power grid infrastructures using complex network analysis techniques and methodologies and explore the most relevant literature works considering general topological properties, differences between the various graph-related indicators and reliability aspects.
Abstract: The statistical tools of Complex Network Analysis are of great use to understand salient properties of complex systems, may these be natural or pertaining human engineered infrastructures. One of these that is receiving growing attention for its societal relevance is that of electricity distribution. In this paper, we present a survey of the most important scientific studies investigating the properties of different Power Grids infrastructures using Complex Network Analysis techniques and methodologies. We categorize and explore the most relevant literature works considering general topological properties, differences between the various graph-related indicators and reliability aspects.
472 citations
01 Apr 2007
TL;DR: This paper presents a meta- Logic of Space-Time and Relativity Theory for Spatial Reasoning and Ontology: Parts, Wholes, and Locations.
Abstract: What is Spatial Logic?.- First-Order Mereotopology.- Axioms, Algebras and Topology.- Qualitative Spatial Reasoning Using Constraint Calculi.- Modal Logics of Space.- Topology and Epistemic Logic.- Logical Theories for Fragments of Elementary Geometry.- Locales and Toposes as Spaces.- Spatial Logic + Temporal Logic = ?.- Dynamic Topological Logic.- Logic of Space-Time and Relativity Theory.- Discrete Spatial Models.- Real Algebraic Geometry and Constraint Databases.- Mathematical Morphology.- Spatial Reasoning and Ontology: Parts, Wholes, and Locations.
337 citations
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Journal Article•
28,685 citations
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TL;DR: Some of the major results in random graphs and some of the more challenging open problems are reviewed, including those related to the WWW.
Abstract: We will review some of the major results in random graphs and some of the more challenging open problems. We will cover algorithmic and structural questions. We will touch on newer models, including those related to the WWW.
7,116 citations
Journal Article•
2,777 citations
TL;DR: A survey of the different security risks that pose a threat to the cloud is presented and a new model targeting at improving features of an existing model must not risk or threaten other important features of the current model.
2,511 citations