In recent years, Bayesian model updating techniques based on measured data have been applied to system identification of structures and to structural health monitoring. A fully probabilistic Bayesian model updating approach provides a robust and rigorous framework for these applications due to its ability to characterize modeling uncertainties associated with the underlying structural system an...

This study shows the design of a new hybrid power generation system, photovoltaic panel (PV)–coupled solid oxide fuel cell (SOFC) and gas turbine (GT)–electrolyser. Three objectives (cost, pollutant emissions, and reliability), which are usually in conflict, are considered simultaneously. The design of a hybrid system, considering the three mentioned objectives, poses a very complex problem of o...

Fluorescence tomography (FT) is a promising molecular imaging technique that can spatially resolve both fluorophore concentration and lifetime parameters. However, recovered fluorophore parameters highly depend on the size and depth of the object due to the ill-posedness of the FT inverse problem. Structural a priori information from another high spatial resolution imaging modality has been dem...

A hybrid approach for intrusion detection in computer networks is presented in this paper. The proposed approach combines an evolutionary-based fuzzy system with an Ant Colony Optimization procedure to generate high-quality fuzzy-classification rules. We applied our hybrid learning approach to network security and validated it using the DARPA KDD-Cup99 benchmark data set. The results indicate t...

Predicting the Seismic Behavior of the Dywidag Ductile Connector (DDC) Precast Concrete System Elizabeth Mary Kenyon Structural engineering is heavily dependent on the use of computers. When creating a building model using structural analysis software, it is required that the designer have an understanding of the system behavior and the modeling program capabilities. Some engineers in the South...

In this paper, we introduce several hybrid connectionist-structural acoustic models for context-independent phone-like units. The structural part has been modeled with Markov chains or nite state networks learned by grammatical inference techniques. A multilayer perceptron or a committee of multilayer perceptrons is used to estimate the emission probabilities of the structural models. We compar...

Hybrid AC/DC microgrids facilitate the procedure of DC power connection into the conventional AC power system by developing the distributed generations (DGs) technologies. The conversion processes between AC and DC electrical powers are more convenient by hybrid systems. In this paper, an energy management system (EMS) for a hybrid microgrid network is proposed due to the optimal utilization of...

Fossil Fuels are always considered as environmental pollutants. On the other hand, the political and economic situations highly affect the price of these fuels. Offshore wind and wave, as renewable energy sources, represent the better alternatives for electricity generation. Therefore, it is necessary that wind speeds effectively be estimated due to the absence of field measurements of the wind...