in the present study, a new modelling technique was developed for the modelling and analysis of hyperchaotic systems using an expert system based on wavelet decompositions and the adaptive neuro-fuzzy inference system (anfis). the success and superior properties of this new expert system were shown by applying the hyperchaotic chen system which is a hyperchaotic system. the obtained expert s...

Autism is one of the most common neurological disorders found in children, resulting disabilities, which continue until adulthood. The accurate assessment of autism is considered as a challenging clinical decision making problem because of the presence of various types of uncertainties that exist with its factors such as social interaction, communication and behavior. These factors cannot be me...

The widespread application of reinforced concrete structures in different environmental conditions has underscored the need for effective maintenance and repair strategies. These offer numerous advantages, but are not impervious to deleterious effects chemical deterioration. outcomes this research hold significant implications management system structures. This study proposes utilization a fuzz...

This paper describes the procedures for development of signal analysis algorithms using artificial neural networks for Bridge Weigh-in-Motion (B-WIM) systems. Through the analysis procedure, the extraction of information concerning heavy traffic vehicles such as weight, speed, and number of axles from the time domain strain data of the B-WIM system was attempted. As one of the several possible ...

The Analytical Hierarchy Process (AHP) was used to characterize the bridge material selection decisions of highway officials across the United States. Understanding product choices by utilizing the AHP allowed us to develop strategies for increasing the use of timber in bridge construction. State Department of Transportation engineers, private consulting engineers, and local highway officials w...

We introduce IMGpedia: a research proposal aiming to bridge structured knowledge-bases and multimedia content. Our concrete plan is to enrich DBpedia data with further metadata about images from Wikipedia, including content-based visual descriptors. Our concrete goal is to create a unified querying and inference system that allows for interrogating the DBpedia knowledge-base and the visual cont...

IN TR O D U CTIO N -TH E PROBLEM A few years ago a problem that previously had been a modest highway maintenance concern suddenly became a major source of dif­ ficulty and expense to highway departments in many areas of the coun­ try; including Indiana. In brief, concrete bridge decks, some new, started to spall, then delaminate, then come apart in relatively large chunks. The problem was quick...

Concrete overlays on bridge decks are expected to be more durable as compared with the more common asphalt solution. Besides stresses due to traffic load and temperature variations at service, the overlays are exposed to stresses due to long term shrinkage. Of interest is to evaluate the concrete overlay due to the shrinkage induced stresses at the composite interface. Three strategies have bee...

Effectiveness of maintenance programs of existing concrete bridges is highly dependent on the accuracy of the deterioration parameters utilised in the asset management models of the bridge assets. In this paper, bridge deterioration is modelled using non-homogenous Poisson processes, since deterioration of reinforced concrete bridges involves multiple processes. Minimum Message Length (MML) is ...

Deflection control is the crucial procedure in construction control of cantilever prestressed concrete continuous girder bridge. This paper summarizes the advantages of Grey theory’s poor information processing and abilities of Neural Network’s self-learning and adaption, and the combinational algorithm of grey Neural Network is applied to the prestressed concrete bridge cantilever construction...