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IEEE International Conference on Communications Workshops, ICC

作者： Ahmad Alsharoa Hakim Ghazzai Mohamed-Slim Alouini Computer Electrical and Mathematical Science of Engineering (CEMSE) Division King Abdullah University of Science and Technology (KAUST) Thuwal Makkah Kingdom of Saudi Arabia

In this paper, a multiple relay selection scheme for two-way relaying cognitive radio network is investigated. We consider a cooperative Cognitive Radio (CR) system with spectrum sharing scenario using Amplify-and-Forward (AF) protocol, where licensed users and unlicensed users operate on the same frequency band. The main objective is to maximize the sum rate of the unlicensed users allowed to share the spectrum with the licensed users by respecting a tolerated interference threshold. A practical low complexity heuristic approach is proposed to solve our formulated optimization problem. Selected numerical results show that the proposed algorithm reaches a performance close to the performance of the optimal multiple relay selection scheme either with discrete or continuous power distributions while providing a considerable saving in terms of computational complexity. In addition, these results show that our proposed scheme significantly outperforms the single relay selection scheme.

关键词： Relays Complexity theory Cognitive radio Tin Interference Resource management Optimization

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Optimization of Approximate Inhibitory Rules Relative to Number of Misclassifications

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Procedia computer science 2013年 22卷 295-302页

作者： Fawaz Alsolami Igor Chikalov Mikhail Moshkov Beata Zielosko Computer Electrical and Mathematical Sciences and Engineering Division King Abdullah University of Science and TechnologyThuwal 23955-6900 Saudi Arabia Computer Science Department King Abdulaziz University Saudi Arabia Institute of Computer Science University of Silesia 39 Be¸dzińska St. Sosnowiec 41-200 Poland

In this work, we consider so-called nonredundant inhibitory rules, containing an expression “attribute:F value” on the right- hand side, for which the number of misclassifications is at most a threshold γ. We study a dynamic programming approach for description of the considered set of rules. This approach allows also the optimization of nonredundant inhibitory rules relative to the length and coverage. The aim of this paper is to investigate an additional possibility of optimization relative to the number of misclassifications. The results of experiments with decision tables from the UCI Machine Learning Repository show this additional optimization achieves a fewer misclassifications. Thus, the proposed optimization procedure is promising.

关键词： inhibitory rules number of misclassifications dynamic programming

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Scattering by an Impedance Cylinder Immersed Halfway Between Dielectric-Metamaterial Half-Spaces

Scattering by an Impedance Cylinder Immersed Halfway Between...

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URSI Commission B International Symposium on Electromagnetic Theory

作者： Mohamed A. Salem Aladin H. Kamel Mathematical and Computer Science and Engineering Department King Abdullah University of Science and Technology Advanced Industrial Technological and Engineering Center

ISBN: (纸本)9781467349390

The scattering of the electromagnetic field by an impedance cylinder immersed halfway between two different half-spaces is considered. One of the half-spaces is composed of a dielectric material, and the other a metamaterial. In addition to the general case, several special cases are also considered. These cases include scattering by a thin wire, the limiting values for the surface impedance on the cylinder (PEC and PMC), and the reverse isovelocity case.

关键词： Impedance Metamaterials Linear systems Electromagnetics Electromagnetic scattering Wires

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Numerically investigating the cause of broadband lasing from InAs/InP quantum-dash laser

Numerically investigating the cause of broadband lasing from...

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Electronics, Communications and Photonics Conference (SIECPC), Saudi International

作者： M. Z. M. Khan Tien K. Ng Boon S. Ooi Photonics Laboratory Computer Electrical and Mathematical Sciences and Engineering (CEMSE) Division King Abdullah University of Science and Technology Thuwal Saudi Arabia

The authors numerically investigated the origin of broadband lasing from multi-stack InAs/InP quantum dash (Qdash) laser. For this a model based on multi-population carrier-photon rate equation is developed which treats each Qdash stacking layer separately. In addition, the coupling between the adjacent stacks is also accounted in the model apart from the inhomogeneous broadening due to dash size or composition fluctuation. Simulation results show that the effect of Qdash inhomogeneity on a single plane (in-plane or localized inhomogeneity) is negligible in broadening the lasing spectra compared to the inhomogeneity across the stacks that are emitting at different wavelength. Our results would help in further optimizing the wafer structure design and improve the lasing bandwidth.

关键词： Nonhomogeneous media Mathematical model Broadband communication Laser modes Laser theory Photonics

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Characterization of solid UV cross-linked PEGDA for biological applications

Characterization of solid UV cross-linked PEGDA for biologic...

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IEEE International Conference on Micro Electro Mechanical Systems

作者： David Castro Patrick Ingram Rimantas Kodzius David Conchouso Euisik Yoon Ian G. Foulds Department of Electrical Engineering King Abdullah University for Science and Technology Saudi Arabia Department of Biomedical Engineering University of Michigan USA Department of Biomedical Engineering Department of Electrical Engineering and Computer Science University of Michigan USA

This paper reports on solid UV cross-linked Poly(ethylene)-glycol-diacrylate (PEGDA) as a material for microfluidic devices for biological applications. We have evaluated biocompatibility of PEGDA through two separate means: 1) by examining cell viability and attachment on cross-linked PEGDA surfaces for cell culture applications, and 2) by determining if cross-linked PEGDA inhibits the polymerase chain reaction (PCR) processes for on-chip PCR. Through these studies a correlation has been found between degree of curing and cell viability, attachment, as well as on PCR outcome.

关键词： Surface treatment Curing Surface morphology Microfluidics Fabrication Solids

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Microfluidic Biosensing Device for Controlled Trapping and Detection of Magnetic Microparticles

Microfluidic Biosensing Device for Controlled Trapping and D...

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Southern Biomedical engineering Conference

作者： Ioanna Giouroudi Georgios Kokkinis Chinthaka Gooneratne Jurgen Kosel Institute of Sensor and Actuator Systems Vienna University of Technology Austria Computer Electrical and Mathematical Sciences and Engineering King Abdullah University of Science and Technology Saudi Arabia

A magnetic microfluidic device is proposed to transport and trap magnetic microparticles (MPs) to a sensing area. Once the MPs are concentrated in the vicinity of the sensing area, a spin valve type giant magnetoresistance (GMR) sensor is used to detect their presence. The device is used for the detection of biological targets once they are labeled with functionalized MPs. Manipulation of the MPs is achieved by employing a microstructure which consists of planar ring-shaped conducting microloops. These microloops are designed to produce high magnetic field gradients which are directly proportional to the force applied to manipulate the MPs. Upon sequential application of current, starting from the outermost loop, MPs are directed to move from the outermost to the innermost loop. The speed with which the MPs move towards the sensing area is controlled by the speed with which current is switched between the loops. On top of the microstructure, a microfluidic channel is fabricated using a standard photolithography technique and a dry film resist layer (Ordyl SY355). Experimental results showed that MPs of different diameters were successfully trapped at the sensing area and detected by the GMR sensor located directly under the innermost square loop.

关键词： Sensors Microfluidics Magnetic fields Micromagnetics Biology Bridge circuits Switches

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A Genetic Algorithm for Multiple Relay Selection in Two-Way Relaying Cognitive Radio Networks

A Genetic Algorithm for Multiple Relay Selection in Two-Way ...

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IEEE Vehicular technology Conference

ISBN: (纸本)9781467361866

In this paper, we investigate a multiple relay selection scheme for two-way relaying cognitive radio networks where primary users and secondary users operate on the same frequency band. More specifically, cooperative relays using Amplify-and-Forward (AF) protocol are optimally selected to maximize the sum rate of the secondary users without degrading the Quality of Service (QoS) of the primary users by respecting a tolerated interference threshold. A strong optimization tool based on genetic algorithm is employed to solve our formulated optimization problem where discrete relay power levels are considered. Our simulation results show that the practical heuristic approach achieves almost the same performance of the optimal multiple relay selection scheme either with discrete or continuous power distributions.

关键词： Cooperative cognitive radio network two-way relaying genetic algorithm Genetic Algorithm (GA) Bidirectional relay Cognitive radio Quality of service Radio networks interference threshold relaying Consumers

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Tuning Recurrent Neural Networks for Recognizing Handwritten Arabic Words

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Journal of Software engineering and Applications 2013年第10期6卷 533-542页

作者： Esam Qaralleh Gheith Abandah Fuad Jamour Computer Engineering Depart- ment The University of Jordan Amman Jordan Computer Engineering Department Princess Sumaya University for Technology Amman Jordan Graduate Student King Abdullah University of Science and Technology Thuwal Saudi Arabia

Artificial neural networks have the abilities to learn by example and are capable of solving problems that are hard to solve using ordinary rule-based programming. They have many design parameters that affect their performance such as the number and sizes of the hidden layers. Large sizes are slow and small sizes are generally not accurate. Tuning the neural network size is a hard task because the design space is often large and training is often a long process. We use design of experiments techniques to tune the recurrent neural network used in an Arabic handwriting recognition system. We show that best results are achieved with three hidden layers and two subsampling layers. To tune the sizes of these five layers, we use fractional factorial experiment design to limit the number of experiments to a feasible number. Moreover, we replicate the experiment configuration multiple times to overcome the randomness in the training process. The accuracy and time measurements are analyzed and modeled. The two models are then used to locate network sizes that are on the Pareto optimal frontier. The approach described in this paper reduces the label error from 26.2% to 19.8%.

关键词： Optical Character Recognition Handwritten Arabic Words Recurrent Neural Networks Design of Experiments

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On the Performance of Diagonal Lattice Space-Time Codes for the Quasi-Static MIMO Channel

On the Performance of Diagonal Lattice Space-Time Codes for ...

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IEEE Vehicular technology Conference

作者： Walid Abediseid Mohamed-Slim Alouini Computer Electrical and Mathematical Sciences and Engineering (CEMSE) Division King Abdullah University of Science and Technology (KAUST) Thuwal Makkah Province Saudi Arabia

ISBN: (纸本)9781467363365

There has been tremendous work done on designing space-time codes for the quasi-static multiple-input multiple-output (MIMO) channel. All the coding design to date focuses on either high-performance, high rates, low complexity encoding and decoding, or targeting a combination of these criteria. In this paper, we analyze in detail the performance of diagonal lattice space-time codes under lattice decoding. We present both upper and lower bounds on the average error probability. We derive a new closed form expression of the lower bound using the so-called sphere-packing bound. This bound presents the ultimate performance limit a diagonal lattice space-time code can achieve at any signal-to-noise ratio (SNR). The upper bound is simply derived using the union-bound and demonstrates how the average error probability can be minimized by maximizing the minimum product distance of the code.

关键词： MIMO SNR code multiple input multiple output systems signal to noise ratios Error probability space-time codes Supernova remnants Codes Diagonal crystal lattices Closed-form solutions Lower bound DECODING

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Capacity of Spectrum Sharing Cognitive Radio Systems over Nakagami Fading Channels at Low SNR

Capacity of Spectrum Sharing Cognitive Radio Systems over Na...

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IEEE International Conference on Communications

作者： Lokman Sboui Zouheir Rezki Mohamed-Slim Alouini Computer Electrical and Mathematical Sciences and Engineering (CEMSE) Division King Abdullah University of Science and Technology (KAUST) Thuwal Makkah Province Saudi Arabia

In this paper, we study the ergodic capacity of Cognitive Radio (CR) spectrum sharing systems at low power regime. We focus on Nakagami fading channels. We formally define the low power regime and present closed form expressions of the capacity in the low power regime under various types of interference and/or power constraints, depending on the available channel state information (CSI) of the cross link (CL) between the secondary user transmitter and the primary user receiver. We explicitly characterize two regimes where either the interference constraint or the power constraint dictates the optimal power profile. Our framework also highlights the effects of different fading parameters on the secondary link ergodic capacity. Interestingly, we show that the low power regime analysis provides a specific insight on the capacity behavior of CR that has not been reported by previous studies.

关键词： Decision support systems Wireless communication

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