We apply functional approximation techniques to obtain features from online data and use these features to train support vector machines (SVMs) for online mathematical symbol classification. We show experimental results and comparisons with another SVM-based system trained using features used in the literature. The experimental results show that the SVM trained using features from functional ap...

A hybrid meta-heuristic optimization method is introduced to efficiently find the optimal shape of concrete gravity dams including dam-water-foundation rock interaction subjected to earthquake loading. The hybrid meta-heuristic optimization method is based on a hybrid of gravitational search algorithm (GSA) and particle swarm optimization (PSO), which is called GSA-PSO. The operation of GSA-PSO...

despite existing various integer programming for sequencing problems, there is not enoughinformation about practical values of the models. this paper considers the problem of minimizing maximumlateness with release dates and presents four different mixed integer programming (mip) models to solve thisproblem. these models have been formulated for the classical single machine problem, namely sequ...

abstract   statement of problem: hertzian indentation test has been proven to be an efficient and reliable alternative upon vickers hardness test. this method has been used to test dental ceramics, amalgams, glass ionomers and luting cements.there is limited published information about the load-bearing capacity of resin composites using hertizian indentation test. objectives: to investigate the...

In this paper we discuss the mathematical representation of hybrid systems, i.e. systems comprising of continuous and discrete elements. Starting from rst principles of physics, we set out a number of requirements to be met by a hybrid formalism. We then propose hybrid transition systems as a formalism satisfying these requirements. The paper is concluded by discussing the option of representin...