Mohamad Adnan Al‐Alaoui

American University of Beirut

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Co-Authors

Mohammed Baydoun

American University of Beirut

Rony Ferzli

Arizona State University

Manal K. Jalloul

American University of Beirut

Elias Yaacoub

Qatar University

Jimmy C. Azar

The Ohio State University

Mohamed M. Mansour

Ain Shams University

Zaher Dawy

American University of Beirut

Christine Akl

American University of Beirut

R. Mouci

Lina Al‐Kanj

Princeton University

Cooperative Institutions

American University of Beirut

Purdue University West Lafayette

Japan Broadcasting Corporation (Japan)

Nottingham Trent University

Universitat Politècnica de València

Brunel University of London

Korea University of Science and Technology

University of Science and Technology

Lund University

American University of Beirut New York Office

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A novel differential differentiator

IEEE Transactions on Instrumentation and Measurement (1991)

Mohamad Adnan Al‐Alaoui

A novel differentiator with differential inputs is described. It is characterized by a resistive input impedance and a single RC network which controls the differentiation action of the circuit. The differentiation of high-frequency noise is avoided by a transition to amplifier and integrator action at high frequencies. The common mode rejection ratio (CMRR) is more controllable in the new differentiator than in the traditional differential differentiator. Simulation and experimental results support the theoretical derivation.< >

Differentiator

Resistive touchscreen

10.1109/19.106305

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Citations (7)

Modified edge detection for segmentation

Mohammed Baydoun Mohamad Adnan Al‐Alaoui

Image segmentation is one of the major methods of image processing. Several techniques exist to tackle segmentation related ideas based on the targeted area of interest. Edge detection is another important area in image processing that can be used for segmentation. This paper presents an edge based segmentation approach that relies on applying standard edge detection algorithms followed by connecting the discontinuous edges in an efficient manner. This leads to a new segmented image with more complete edges and better distinguishable objects. This is verified by comparing the obtained edge images and the resulting segmentation with the regular edge images and their corresponding segmentation results.

Segmentation-based object categorization

Morphological gradient

Range segmentation

Region growing

10.1109/isscs.2015.7204001

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Citations (3)

Effect of hand jitter on video compression algorithms for mobile devices

Rony Ferzli Michael P. McGarry Mohamad Adnan Al‐Alaoui

We have conducted a sensitivity analysis to determine the PSNR reduction occurring from increased levels of hand jitter while recording video. To conduct this sensitivity analysis we proposed and utilized a hand jitter model. We observe from our analysis that increased hand jitter certainly lowers the PSNR. More importantly, we observe that the magnitude of the reduction in PSNR of increasing hand jitter is increased with less motion in the video. With this insight we developed a decision rule that decides when to activate a video stabilization algorithm. This decision rule requires the distinction between motion created by the scene and motion created by hand jitter as well as a mechanism to measure this motion.

10.1109/iccitechnology.2013.6579574

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Citations (1)

Application of constrained generalized inverse to pattern classification

Pattern Recognition (1976)

Mohamad Adnan Al‐Alaoui

Margin (machine learning)

Generalized inverse

10.1016/0031-3203(76)90048-0

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Citations (15)

Gauss-Newton image registration with CUDA

Manal K. Jalloul Mohammed Baydoun Mohamad Adnan Al‐Alaoui

Image registration is the process of matching different images whether 2D or 3D of certain similar or common properties for different purposes. This work addresses this field using a Gauss-Newton optimization approach. The problem is basically formulated as minimizing a cost function that is then solved by a backtracking line search. Since this is considered as a demanding problem especially for larger data, this paper presents the solution using the CUDA GPU architecture provided by Nvidia [1] in order to achieve better performance and reduce timing through parallelism.

Backtracking

Line search

Image registration

10.1109/icecs.2011.6122274

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Citations (1)

Ballistic oracle at military borders (B.O.M.B)

Mohamad Adnan Al‐Alaoui R. Farran Carol Lakkis R. Rabbat

The objective of the paper is to estimate the source and predict the target of a flying object (projectile) using image processing. This is achieved by taking successive 3D images of the object using two cameras and processing their corresponding data. It can be widely used in military applications where it is an intelligent and relatively cheap way to guess the source and target of projectiles, rockets or bombs.

10.1109/icecs.2000.911576

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A novel Cooperative Motion Estimation Algorithm based on Particle Swarm Optimization and its multicore implementation

Signal Processing Image Communication (2015)

Manal K. Jalloul Mohamad Adnan Al‐Alaoui

Initialization

Penalty Method

10.1016/j.image.2015.09.010

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Citations (12)

Al-Alaoui operator and the new transformation polynomials for discretization of analogue systems

Electrical Engineering (2008)

Mohamad Adnan Al‐Alaoui

Operator (biology)

Representation

10.1007/s00202-007-0092-0

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Citations (54)

Novel time-frequency reservation Aloha scheme for OFDMA systems

IEEE Wireless Communications and Networking Conference (2011)

Elias Yaacoub Mohamad Adnan Al‐Alaoui Zaher Dawy

A novel reservation Aloha scheme is presented for OFDMA systems. The proposed scheme is based on two dimensional reservation in time and frequency. The proposed approach is compared to other OFDMA extensions of reservation Aloha. The proposed scheme is shown to be superior in terms of increasing sum-rate, reducing the number of users in outage, and reducing the collision probability in the reservation phase.

Aloha

Frequency-division multiple access

10.1109/wcnc.2011.5779130

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Citations (4)

A novel distributed scheduling scheme for OFDMA uplink using channel information and probabilistic transmission

Computer Communications (2011)

Elias Yaacoub Zaher Dawy Mohamad Adnan Al‐Alaoui

Frequency-division multiple access

10.1016/j.comcom.2011.06.009

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Citations (2)