Industrial waste heat is currently underutilized due to the techno-economic challenges, inherent variability and intermittency of this source. To overcome existing barriers, reduce emission greenhouse gases protect global environmental conditions, energy recovery one most effective strategies. In design storage systems, material selection procedure plays an important role requires complex inter...

in the present study, modelling and vibration analysis of carbon nanotubes/ fiber/ polymer composite microplates are investigated. the governing equations of the carbon nanotubes/ fiber/ polymer composite microplates are derived based on first order shear deformation plate theory, rather than other plate theories, due to accuracy and simplicity of polynomial functions. the modified couple stres...

Graph Signal Processing is an emerging field of signal processing that combines classical signal processing with graph theory. There are two approaches which either use undirected weighted graphs that allow the usage of Laplacian matrix, or the more general approach, which is based on algebraic features, including all weighted directed graphs. We investigate the concept of causal graph signal p...

the congestion pricing has been discussed as a practical tool for traffic management on urban transport networks. the traffic congestion is defined as an external diseconomy on the network in transport economics. it has been proposed that the congestion pricing would be used to reduce the traffic on the network. this paper investigates the cordon-based second-best congestion-pricing problems on...

Spectral graph theory has proven to be a useful tool in the analysis of high-dimensional data sets. Recall that, mathematically, a graph is a collection of objects (nodes) and connections between them (edges); a weighted graph additionally assigns numerical values (weights) to the edges. Graphs are represented by their adjacency whose elements are the weights between the nodes. Spectral graph t...

Spectral Graph Theory is the study of the spectra of certain matrices defined from a given graph, including the adjacency matrix, the Laplacian matrix and other related matrices. Graph spectra have been studied extensively for more than fifty years. In the last fifteen years, interest has developed in the study of generalized Laplacian matrices of a graph, that is, real symmetric matrices with ...

Spectral Graph Theory is the study of the spectra of certain matrices defined from a given graph, including the adjacency matrix, the Laplacian matrix and other related matrices. Graph spectra have been studied extensively for more than fifty years. In the last fifteen years, interest has developed in the study of generalized Laplacian matrices of a graph, that is, real symmetric matrices with ...

Graph theory based methods are powerful means for representing structural systems so that their geometry and topology can be understood clearly. The combination of graph theory based methods and some metaheuristics can offer effective solutions for complex engineering optimization problems. This paper presents a Charged System Search (CSS) algorithm for the free shape optimizations of thin-wall...