Hybrid journal (It can contain Open Access articles) ISSN (Print) 1752-5055 - ISSN (Online) 1752-5063 Published by Inderscience Publishers[441 journals]

Authors:Sahar A. El-Rahman, Ali Hussein Saleh Zolait Pages: 103 - 121 Abstract: In the last years, oil spill detection by hyperspectral imaging has been transferred from experimental to operational. In this paper, researchers attempted to use and compare four classification approaches for the identification of oil spills. The hyperspectral image classification approaches 'namely' are support vector machine (SVM), parallelepiped, minimum distance (MD) and binary encoding (BE). These approaches used to identify the oil spill areas in both two study areas which are selected as oil-spill areas in the Gulf of Mexico and the Adriatic Sea. The classifiers are applied to the study areas after pre-processing that include the spatial and spectral subset and atmospheric correction. Whereas, the classifiers applied to the full dataset and region of interest (ROI) before and after performing principal component analysis (PCA). The PCA is utilised to eliminate redundant data, reduce the vast amount of information and consequently, decrease the processing times. The findings indicate that the SVM, MD and BE approaches supply a high classification accuracy better than parallelepiped approach using both datasets obtained from both selected region. Keywords: binary encoding approach; hyperspectral image; minimum distance approach; parallelepiped approach; principal component analysis; PCA; support vector machine; SVM Citation: International Journal of Computing Science and Mathematics, Vol. 9, No. 2 (2018) pp. 103 - 121 PubDate: 2018-05-14T23:20:50-05:00 DOI: 10.1504/IJCSM.2018.091744 Issue No:Vol. 9, No. 2 (2018)

Authors:Zhonghua Wang, Feiwen Wang, Guiying Chi Pages: 122 - 132 Abstract: The defect image enhancement of aeronautic component is vital for the defect quantitative and qualitative properties. In this paper, a novel defect image enhancement algorithm is presented, which adopts the partial differential equation of quantum mechanics. The algorithm includes two key steps as follows. Firstly, according to the quantum mechanics theory, the image edge quantum probability is computed. Secondly, the partial differential equation coupling the anisotropic edge quantum probability is constructed to enhance the defect images of aeronautical component. Compared with other methods, the experimental results indicate that the proposed method better highlight the defect images. Keywords: quantum mechanics; partial differential equation; PDE; image enhancement Citation: International Journal of Computing Science and Mathematics, Vol. 9, No. 2 (2018) pp. 122 - 132 PubDate: 2018-05-14T23:20:50-05:00 DOI: 10.1504/IJCSM.2018.091735 Issue No:Vol. 9, No. 2 (2018)

Authors:Cheng Zeng, Gantong He Pages: 133 - 141 Abstract: It has been evident that a Schur complement plays an important role in many aspects of matrix theory, in statistics, as well as in applied mathematics. The purpose of this article is to present a family of matrix inequalities involving the Kronecker product, Hadamard product and ordinary sum. Our theorems contain or extend some existing known results. Keywords: Schur complement; block matrix; Hadamard product; Kronecker product; Lowner ordering; matrix inequality; Moore-penrose inverse; Khatri-Rao product Citation: International Journal of Computing Science and Mathematics, Vol. 9, No. 2 (2018) pp. 133 - 141 PubDate: 2018-05-14T23:20:50-05:00 DOI: 10.1504/IJCSM.2018.091730 Issue No:Vol. 9, No. 2 (2018)

Authors:Ramesh Chand, G.C. Rana, S.K. Kango, Kamal Singh Pages: 142 - 154 Abstract: Double diffusive convection of Kuvshiniski viscoelastic nanofluid in a porous medium is studied for more realistic boundary conditions within the frame work of linear stability theory. The model used for nanofluid incorporates the effect of Brownian diffusion and thermophoresis. The flux of volume fraction of nanoparticles is taken to be zero on the isothermal boundaries. For the porous medium Brinkman-Darcy model is considered. The stability criterion for stationary convection has been derived and graphs have been plotted to study the effects of the Dufour parameter, Soret parameter, Lewis number, the modified diffusivity ratio and the concentration Rayleigh number on stationary convection. Keywords: double diffusive convection; Kuvshiniski viscoelastic fluid; Galerkin method; Dufour parameter; Soret parameter; porous medium Citation: International Journal of Computing Science and Mathematics, Vol. 9, No. 2 (2018) pp. 142 - 154 PubDate: 2018-05-14T23:20:50-05:00 DOI: 10.1504/IJCSM.2018.091731 Issue No:Vol. 9, No. 2 (2018)

Authors:Wenjun Wang, Hui Wang Pages: 155 - 162 Abstract: In order to improve the performance of differential evolution (DE), this paper presents a new DE variant based on Gaussian sampling (NDEGS) to forecast urban water resources demand. In NDEGS, two strategies are employed. First, Gaussian sampling is used to replace the mutation operation. Second, a dynamic population method is employed to adjust the population size during the search process. In the simulation experiment, the water resources demand in Nanchang city of China is considered as a case study. Simulation results demonstrate that NDEGS can achieve promising prediction accuracy. Keywords: differential evolution; Gaussian sampling; dynamic population size; water resources demand; forecasting; optimisation Citation: International Journal of Computing Science and Mathematics, Vol. 9, No. 2 (2018) pp. 155 - 162 PubDate: 2018-05-14T23:20:50-05:00 DOI: 10.1504/IJCSM.2018.091750 Issue No:Vol. 9, No. 2 (2018)

Authors:Gan Yu, Yingying Feng Pages: 163 - 170 Abstract: In this paper, we present a new firefly algorithm (FA) by using hybrid strategies to obtain a good optimisation performance. The proposed approach, namely HFA, employs three strategies. First, an adaptive parameter method is utilised to dynamically changing the step factor. Second, HFA uses a modified search strategy and eliminates the concept of attractiveness. So, HFA does not include two parameters, absorption coefficient and initial attractiveness. Third, a probabilistic attraction model is used to replace the original full attraction model. Experiments on some benchmark problems show that HFA is superior to mimetic FA (MFA) and probabilistic attraction-based FA (PAFA). Keywords: firefly algorithm; adaptive parameter; probabilistic attraction; optimisation Citation: International Journal of Computing Science and Mathematics, Vol. 9, No. 2 (2018) pp. 163 - 170 PubDate: 2018-05-14T23:20:50-05:00 DOI: 10.1504/IJCSM.2018.091749 Issue No:Vol. 9, No. 2 (2018)

Authors:Gan Yu, Yingying Feng Pages: 171 - 180 Abstract: In this article we have considered linear third order boundary value problems and proposed an efficient difference method for numerical solution of the problems. We have shown that proposed method is convergent and second order accurate. The numerical results in experiment on some test problems show the simplicity and efficiency of the method. Keywords: boundary value problem; difference method; explicit inverse; obstacle problems; second order convergence; third order differential equation Citation: International Journal of Computing Science and Mathematics, Vol. 9, No. 2 (2018) pp. 171 - 180 PubDate: 2018-05-14T23:20:50-05:00 DOI: 10.1504/IJCSM.2018.091732 Issue No:Vol. 9, No. 2 (2018)

Authors:Meng Gao, Hui Zhang Pages: 181 - 188 Abstract: Sequential Monte Carlo (SMC) methods (also known as particle filter) provide a way to solve the state estimation problem in nonlinear non-Gaussian state space models (SSM) through numerical approximation. Particle smoothing is one retrospective state estimation method based on particle filtering. In this paper, we propose a new particle smoother. The basic idea is easy and leads to a forward-backward procedure, where the Metropolis-Hastings algorithm is used to resample the filtering particles. The goodness of the new scheme is assessed using a nonlinear SSM. It is concluded that this new particle smoother is suitable for state estimation in complicated dynamical systems. Keywords: Sequential Monte Carlo; SMC; particle filter; forward filtering-backward smoothing; Metropolis-Hastings Citation: International Journal of Computing Science and Mathematics, Vol. 9, No. 2 (2018) pp. 181 - 188 PubDate: 2018-05-14T23:20:50-05:00 DOI: 10.1504/IJCSM.2018.091733 Issue No:Vol. 9, No. 2 (2018)

Authors:Wenhao Shu, Wenbin Qian, Jun Yang Pages: 189 - 196 Abstract: The uncapacitated facility location problem is an NP-hard problem. Nowadays there are few studies on this problem in practical applications on the torus internetwork topology. The objective of this paper is to extend the facility location problem on the two-dimensional torus internetwork topology. At first, the extension facility location problem with two additional constraints is formulated as integer linear programming. Then, two embedding schemes are proposed respectively by partitioning the solutions of the extension problem into stars, which exhibit a trade-off between dilation and expansion. Finally, an efficient approximation algorithm is developed to find the integer solutions of the extension facility location problem. Moreover, the relative analysis of approximation guarantee of the proposed algorithm is given. Keywords: facility location; approximation algorithm; embedding scheme; torus internetwork topology; linear programming Citation: International Journal of Computing Science and Mathematics, Vol. 9, No. 2 (2018) pp. 189 - 196 PubDate: 2018-05-14T23:20:50-05:00 DOI: 10.1504/IJCSM.2018.091736 Issue No:Vol. 9, No. 2 (2018)

Authors:Wenhao Shu, Wenbin Qian, Jun Yang Pages: 197 - 206 Abstract: Let <i>D</i> be a finite simple directed graph with vertex set <i>V</i>(<i>D</i>) and arc set <i>A</i>(<i>D</i>). A subset <i>S</i> of the vertex set <i>V</i>(<i>D</i>) is a <i>k-dominating</i> set (<i>k</i> ≥ 1) of <i>D</i> if for each vertex <i>v</i> not in <i>S</i> there exists <i>k</i> vertices {<i>u</i><sub align="right">i, ..., <i>u</i><sub align="right"><i>k</i>} ⊆ <i>S</i> such that (<i>u</i><sub align="right">i, <i>v</i>) is an arc of <i>D</i> for <i>i</i> = 1, ..., <i>k</i>. The <i>k</i>-domination number of <i>D</i>, <i>k</i>(<i>D</i>), is the cardinality of the smallest <i>k</i>-dominating set of <i>D</i>. The <i>k</i>-domination number (<i>k</i> ≥ 2) of the Cartesian products of two directed cycles, two directed paths and Cartesian products of a directed path and a cycle are determined. Also, we give <i>k</i>-domination number (<i>k</i> ≥ 2) of the direct product of two directed cycles and two directed paths. Keywords: directed graph; directed cycle; directed paths; Cartesian product; direct product; k-domination number Citation: International Journal of Computing Science and Mathematics, Vol. 9, No. 2 (2018) pp. 197 - 206 PubDate: 2018-05-14T23:20:50-05:00 DOI: 10.1504/IJCSM.2018.091734 Issue No:Vol. 9, No. 2 (2018)