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Institution

King Fahd University of Petroleum and Minerals

EducationDhahran, Saudi Arabia
About: King Fahd University of Petroleum and Minerals is a education organization based out in Dhahran, Saudi Arabia. It is known for research contribution in the topics: Catalysis & Adsorption. The organization has 7603 authors who have published 24030 publications receiving 443803 citations. The organization is also known as: College of Petroleum and Minerals.


Papers
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Proceedings ArticleDOI
06 Jul 2008
TL;DR: Deterministic construction of projection matrices that provably guarantee reconstruction with high probability are developed and compared with some simple capacity lower and upper bounds and with the recently obtained capacity of the Gaussian erasure channel.
Abstract: We use recently developed convex programming techniques to reconstruct arbitrary sparse signals observed through projections onto a small-dimensional space in background noise in order to estimate and remove impulsive noise in an OFDM system. We develop deterministic construction of projection matrices that provably guarantee reconstruction with high probability. Finally, we compare the achievable rate using our novel method with some simple capacity lower and upper bounds and with the recently obtained capacity of the Gaussian erasure channel. For practical impulse probability the proposed scheme appears to be competitive. This scheme may find some application in DSL and powerline communications, where transmission is typically affected by intersymbol interference, Gaussian noise and impulsive noise.

139 citations

Journal ArticleDOI
TL;DR: In this paper, the second law of thermodynamics is used to study the performance of single-stage and two-stage ammonia-water absorption refrigeration systems (ARSs) when some input design parameters are varied.

139 citations

Journal ArticleDOI
TL;DR: In this paper, the use of F. genetic algorithm removes the restrictions imposed on the array element displacements in order to obtain the linear analytic solution and the results presented show that it is possible to steer the array nulls precisely to the required interference directions and to achieve prescribed null depths.
Abstract: . t geneti- algorithm has been used for null steering in phased and :,daptive arrays. It has been shown that it is possible to steer the tray nul ls precisely to the required interference directions and to chieve ny prescribed null depths . A comparison with the results brained from the analytic anlution shows the advatages of using he genetic algorithm for null steering in linear array patterns. fntroduc ion: Nu :. steering in adaptive arrays can be achieved by element ,position perturbations [1 -3]. This technique is based on the assn ; sption. of. relatively smell element position perturbations so that r a analytic solution can be formulated . Results were given for displ tcemects of the elements both along , and normal to, the axis of Cu array . In this Letter , we report the use of a genetic algorithm (4) in the realisation of adaptive nulling by element position perturbations. The use of F. genetic algorithm removes the restrictions imposed on the array element displacements in order to obtain the linear analytic solution . The results presented show that it is possible to steer the array nulls precisely to the required interference dire Lions and to achieve prescribed null depths.

139 citations

Journal ArticleDOI
TL;DR: An integrated model for the joint optimization of the maintenance level and the economic design of x-control chart is presented for a deteriorating process where the in-control period follows a general probability distribution with an increasing hazard rate.

139 citations

Journal ArticleDOI
TL;DR: The focus of the GSD SLR research is mapping the research rather than providing evidence-based guidance to industry, and empirical support for the majority of risks identified is moderate to low.
Abstract: Context There is extensive interest in global software development (GSD) which has led to a large number of papers reporting on GSD. A number of systematic literature reviews (SLRs) have attempted to aggregate information from individual studies. Objective: We wish to investigate GSD SLR research with a focus on discovering what research has been conducted in the area and to determine if the SLRs furnish appropriate risk and risk mitigation advice to provide guidance to organizations involved with GSD. Method: We performed a broad automated search to identify GSD SLRs. Data extracted from each study included: (1) authors, their affiliation and publishing venue, (2) SLR quality, (3) research focus, (4) GSD risks, (5) risk mitigation strategies and, (6) for each SLR the number of primary studies reporting each risk and risk mitigation strategy. Results: We found a total of 37 papers reporting 24 unique GSD SLR studies. Major GSD topics covered include: (1) organizational environment, (2) project execution, (3) project planning and control and (4) project scope and requirements. We extracted 85 risks and 77 risk mitigation advice items and categorized them under four major headings: outsourcing rationale, software development, human resources, and project management. The largest group of risks was related to project management. GSD outsourcing rationale risks ranked highest in terms of primary study support but in many cases these risks were only identified by a single SLR. Conclusions: The focus of the GSD SLRs we identified is mapping the research rather than providing evidence-based guidance to industry. Empirical support for the majority of risks identified is moderate to low, both in terms of the number of SLRs identifying the risk, and in the number of primary studies providing empirical support. Risk mitigation advice is also limited, and empirical support for these items is low.

138 citations


Authors

Showing all 7786 results

NameH-indexPapersCitations
Omar M. Yaghi165459163918
Vinod Kumar Gupta16571383484
Robert H. Grubbs137101383140
Craig J. Hawker13474172032
Avelino Corma134104989095
C. N. R. Rao133164686718
Bharat Bhushan116127662506
Ibrahim Dincer110147956573
Sabu Thomas102155451366
Lajos Hanzo101204054380
Rahman Saidur9757634409
Gareth H. McKinley9746734624
Mohamed-Slim Alouini96178862290
Robert J. Young9064031962
Emmanuel P. Giannelis8838738528
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023103
2022347
20211,990
20201,877
20191,601
20181,589