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Institution

Ghulam Ishaq Khan Institute of Engineering Sciences and Technology

EducationTopi, Pakistan
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.


Papers
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Journal ArticleDOI
TL;DR: A spectrum efficient CRN (SE-CRN) is proposed that employs a hybrid underlay-interweave mode of CRNs for secondary users (SUs) under cooperative communication and it is shown through numerical results that SUE can be reasonably enhanced by SE- CRN.

23 citations

Proceedings ArticleDOI
05 May 2009
TL;DR: A novel application of zero-forcing (ZF) and minimum mean square error (MMSE) algorithms as time-domain channel equalization techniques for WPM systems are proposed and it is shown that, for a multipath wireless channel, WPM using MMSE-equalizer has a better bit error rate (BER) performance as compared to ZF-equalized WPM, as well as OFDM system.
Abstract: In comparison to Orthogonal Frequency Division Multiplexing (OFDM), Wavelet Packet Modulation (WPM) offers much lower side lobes in transmitted signal, which reduces inter-carrier interference (ICI) and narrowband interference (NBI). It is also spectrally efficient since it does not utilize cyclic prefix (CP), nevertheless, it requires an efficient equalization technique to counter the inter symbol interference (ISI) and ICI created by the channel. In this paper, performance comparison of OFDM and WPM for several multipath wireless channels is presented. We propose a novel application of zero-forcing (ZF) and minimum mean square error (MMSE) algorithms as time-domain channel equalization techniques for WPM systems. It is shown that, for a multipath wireless channel, WPM using MMSE-equalizer has a better bit error rate (BER) performance as compared to ZF-equalizer in WPM, as well as OFDM system.

22 citations

Journal ArticleDOI
TL;DR: In this article, an algorithm based on method of lines coupled with radial basis functions is presented for the numerical solution of Kawahara, modified Kawhara, and KdV Kawhaara equations, where the results are compared with the exact solution and with the results in the relevant literature to show the efficiency of the method.
Abstract: In this work, an algorithm based on method of lines coupled with radial basis functions namely meshless method of lines (MMOL) is presented for the numerical solution of Kawahara, modified Kawahara and KdV Kawahara equations. The motion of a single solitary wave, interaction of two and three solitons and the phenomena of wave generation is discussed. The results are compared with the exact solution and with the results in the relevant literature to show the efficiency of the method.

22 citations

Journal ArticleDOI
01 Jun 2017
TL;DR: In this paper, the authors investigated a suitable set of friction stir processing parameters to form AL7075T651/TiN nano composite and quantified the effect of these variations on the composite through several microstructural and mechanical tests.
Abstract: Friction stir processing is a novel material fabrication technique. This study was undertaken in order to investigate a suitable set of friction stir processing parameters to form AL7075T651/TiN nano composite. A number of samples were produced by varying the process parameters, namely, tool-pin geometry, number of passes and the direction of tool rotation. The pin geometries employed include triangular, square and threaded taper; the passes were varied over two levels (i.e. 2 and 4) and the tool rotation was changed as clockwise and counter clockwise between the successive passes. The effect of these variations on the composite was quantified through several microstructural and mechanical tests. The increase in the number of passes was observed to improve various characteristics of the composite (i.e. distribution of TiN particles, grain refinement and mechanical properties). The effect of tool geometry, however, was associated with the choice of the number of passes. The change in the direction of tool ...

21 citations

Journal ArticleDOI
TL;DR: In this paper, the performance of spark plasma sintered (SPS) nano-alumina (∼150nm)-based composites reinforced with 10, 20 and 30% uncoated and nickel-coated cubic boron nitride (cBN) particles was evaluated using a ball-on-disc configuration against three different counterface materials (WC, Si3N4 and Al2O3) under dry sliding conditions.
Abstract: Currently, there is a rising demand to develop composite materials with outstanding tribological properties along with excellent thermal-mechanical properties for harsh tribological applications. In view of this demand, the tribological behaviour of spark plasma sintered (SPS) nano-alumina (∼150 nm)-based composites reinforced with 10, 20 and 30 wt.% uncoated and nickel-coated cubic boron nitride (cBN) particles was evaluated using a ball-on-disc configuration against three different counterface materials (WC, Si3N4 and Al2O3) under dry sliding conditions. A variety of techniques were used to evaluate the phase composition and to study the dispersion, wear behaviour and wear mechanisms. The nano-alumina composites exhibited improved wear resistance and coefficient of friction (COF). These results were attributed to the unique combination and uniform dispersion of the reinforcing particles within the composites. Moreover, Ni-coated cBN particles displayed high wear resistance, primarily due to the excellent interfacial bonding provided by the nickel coating. The wear resistance of the sample reinforced with 30% cBN-Ni was improved by at least 85%. The wear mechanisms involved during sliding wear were abrasion, matrix grain pullout (dislodgement of matrix material), microcracking, chipping, and tribolayer formation.

21 citations


Authors

Showing all 626 results

NameH-indexPapersCitations
Wajid Ali Khan128127279308
Shuichi Miyazaki6945518513
Muhammad Zubair5180610265
Mohammad Islam441929721
Asifullah Khan381925109
Muhammad Waqas323837336
Rana Abdul Shakoor301403244
Noor Muhammad291602656
Abdul Majid282313134
Muhammad Abid273773214
Iftikhar Ahmad261432500
Shaheen Fatima24792287
Ghulam Hussain241271937
Zubair Ahmad241451899
Muhammad Zahir Iqbal231291624
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20235
20229
2021180
2020154
2019100
201863