Large Scale Infrastructure Systems

Centralized Clustering Method To Increase Accuracy In Ontology Matching Systems

Ontology is the main infrastructure of the Semantic Web which provides facilities for integration, searching and sharing of information on the web. Development of ontologies as the basis of semantic web and their heterogeneities have led to the existence of ontology matching. By emerging large-scale ontologies in real domain, the ontology matching systems faced with some problem like memory con...

Decentralized Interaction Estimators in Large Scale Power Systems with Neural Networks.

A Three-terms Conjugate Gradient Algorithm for Solving Large-Scale Systems of Nonlinear Equations

Nonlinear conjugate gradient method is well known in solving large-scale unconstrained optimization problems due to it’s low storage requirement and simple to implement. Research activities on it’s application to handle higher dimensional systems of nonlinear equations are just beginning. This paper presents a Threeterm Conjugate Gradient algorithm for solving Large-Scale systems of nonlinear e...

A Holistic View of Health Infrastructure Resilience Before and After COVID-19

Large-scale events such as COVID-19 show that there are situations that can lead to huge stress on health infrastructuresystems (HIS). The pandemic reveals that it is very difficult to protect HIS from all kinds of possible hazards. Considerthe trend of these types of viruses, such as N1H1, SARS and Ebola. These types of hazards could be more frequentand extreme in the future....

A Variable Structure Observer Based Control Design for a Class of Large scale MIMO Nonlinear Systems

This paper fully discusses how to design an observer based decentralized fuzzy adaptive controller for a class of large scale multivariable non-canonical nonlinear systems with unknown functions of subsystems’ states. On-line tuning mechanisms to adjust both the parameters of the direct adaptive controller and observer that guarantee the ultimately boundedness of both the tracking error and tha...

Probabilistic Contaminant Source Identification in Water Distribution Infrastructure Systems

Large water distribution systems can be highly vulnerable to penetration of contaminant factors caused by different means including deliberate contamination injections. As contaminants quickly spread into a water distribution network, rapid characterization of the pollution source has a high measure of importance for early warning assessment and disaster management. In this paper, a methodology...