Ghulam Ishaq Khan Institute of Engineering Sciences and Technology

About: Ghulam Ishaq Khan Institute of Engineering Sciences and Technology is a education organization based out in Topi, Pakistan. It is known for research contribution in the topics: Quantum efficiency & Diode. The organization has 618 authors who have published 940 publications receiving 10674 citations.

Intelligent combination of kernels information for improved classification

Abstract: In this paper, we are proposing a combination scheme of kernels information of support vector machines (SVMs) for improved classification task using genetic programming. In the scheme, first, the predicted information is extracted by SVM through the learning of different kernel functions. GP is then used to develop an optimal composite classifier (OCC) having better performance than individual SVM classifiers. The experimental results demonstrate that OCC is more effective, generalized and robust. Specifically, it attains high margin of improvement at small features. Another side advantage of our GP based intelligent combination scheme is that it automatically incorporates the issues of optimal kernel and model selection to achieve a higher performance prediction model.

Comparison of Gamow–Teller strengths in the random phase approximation

Abstract: The Gamow–Teller response is astrophysically important for a number of nuclides, particularly around iron. The random phase approximation (RPA) is an efficient way to generate strength distributions. In order to better understand both theoretical systematics and uncertainties, we compare the Gamow–Teller strength distributions for a suite of nuclides and for a suite of interactions, including semi-realistic interactions in the 1p-0f space with the RPA and a separable multi-shell interaction in the quasi-particle RPA. We also compare with experimental results where available.

Galerkin's finite element formulation of the second-order boundary-value problems

Abstract: A Galerkin's finite element approach based on weighted-residual formulation is presented to find approximate solutions to obstacle, unilateral and contact second-order boundary-value problems. The approach utilizes a piece-wise linear approximations utilizing linear Langrange polynomials. Numerical studies have shown the superior accuracy and lesser computational cost of this scheme in comparison to collocation, finite-difference and spline methods.

Temperature-dependent nuclear partition functions and abundances in the stellar interior

Abstract: We calculate the temperature-dependent nuclear partition functions (TDNPFs) and nuclear abundances for 728 nuclei, assuming nuclear statistical equilibrium (NSE). The theories of stellar evolution support NSE. Discrete nuclear energy levels have been calculated microscopically, using the pn-QRPA theory, up to an excitation energy of 10 MeV in the calculation of the TDNPFs. This feature of our paper distinguishes it from previous calculations. Experimental data is also incorporated wherever available to ensure the reliability of our results. Beyond 10 MeV, we employ a simple Fermi gas model and perform integration over the nuclear level densities to approximate the TDNPFs. We calculate nuclidic abundances, using the Saha equation, as a function of three parameters: stellar density, stellar temperature and the lepton-to-baryon content of stellar matter. All these physical parameters are considered to be extremely important in the stellar interior. The results obtained in this paper show that the equilibrium configuration of nuclei remains unaltered by increasing the stellar density (only the calculated nuclear abundances increase by roughly the same order of magnitude). Increasing the stellar temperature smoothes the equilibrium configuration showing peaks at the neutron-number magic nuclei.