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Open AccessArticle
7 Pages, 942 KB Download PDF

Petrov-Galerkin formulation for compressible Euler and Navier-Stokes equations

Advances in Science, Technology and Engineering Systems Journal, Volume 2, Issue 5, Page # 63–69, 2017; DOI: 10.25046/aj020511
Abstract:

The resolution of the Navier-Stokes and Euler equations by the finite element method is the focus of this paper. These equations are solved in conservative form using, as unknown variables, the so-called conservative variables (density, momentum per unit volume and total energy per unit volume). The variational formulation developed is a variant of the Petrov-Galerkin…

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(This article belongs to Section Applied Mathematics (MAP))
Open AccessArticle
14 Pages, 1,135 KB Download PDF

On Modeling Affect in Audio with Non-Linear Symbolic Dynamics

Advances in Science, Technology and Engineering Systems Journal, Volume 2, Issue 3, Page # 1727–1740, 2017; DOI: 10.25046/aj0203212
Abstract:

The discovery of semantic information from complex signals is a task concerned with connecting humans’ perceptions and/or intentions with the signals content. In the case of audio signals, complex perceptions are appraised in a listener’s mind, that trigger affective responses that may be relevant for well-being and survival. In this paper we are interested in…

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(This article belongs to the SP3 (Special issue on Recent Advances in Engineering Systems 2017) & Section Interdisciplinary Applications of Computer Science (CSI))
Open AccessArticle
11 Pages, 945 KB Download PDF

Radiation Hybrid Mapping: A Resampling-based Method for Building High-Resolution Maps

Advances in Science, Technology and Engineering Systems Journal, Volume 2, Issue 3, Page # 1390–1400, 2017; DOI: 10.25046/aj0203175
Abstract:

Abstract— The process of mapping large numbers of markers is computationally complex, as the increase of numbers of markers results in an exponential increase in the mapping runtime. Also, having unreliable markers in the dataset adds more complexity to the mapping process. In this research, we have addressed these two issues and proposed our solution.…

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(This article belongs to the SP3 (Special issue on Recent Advances in Engineering Systems 2017) & Section Artificial Intelligence in Computer Science (CAI))
Open AccessArticle
6 Pages, 930 KB Download PDF

Support Vector Machine based Vehicle Make and Model Recognition System

Advances in Science, Technology and Engineering Systems Journal, Volume 2, Issue 3, Page # 1080–1085, 2017; DOI: 10.25046/aj0203137
Abstract:

Vehicle analysis is a very useful component in various real world applications. In this paper, we have developed a Vehicle Make and Model Recognition (VMMR) system using Support Vector Machine (SVM). Scale Invariant Feature Transform (SIFT) and Speed-Up Robust Transform (SURF) are used to extract local features from an image. Bag-of-Features (BoF) model is used…

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(This article belongs to the SP3 (Special issue on Recent Advances in Engineering Systems 2017) & Section Interdisciplinary Applications of Computer Science (CSI))

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