Aly El-Osery

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Papers by Aly El-Osery

Time delay and power control in spread spectrum wireless networks

IFAC Proceedings Volumes

Delay in the computation of the signal-to-interference ratio in communication systems is unavoida... more Delay in the computation of the signal-to-interference ratio in communication systems is unavoidable. In the the case of mobile communication, delay is a very critical problem due the fast variation of the communication channel and the need for effective, fast and accurate power control. In this paper we present our approach to dealing with the delay in mobile communication systems as well as our controller to achieve and maintain the desired signal quality. We will concentrate on the code division multiple access (CDMA) systems.

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An Integrated Simulation Environment Realizing the Ability of Nano-Photonic Crystals to Detect and Quantify Submicron and Microdamage in Materials

Journal of Computational and Theoretical Nanoscience

Page 1. Delivered by Ingenta to: ? IP : 93.91.26.12 Tue, 24 May 2011 19:18:37 RESEARCH AR TICLE .... more

Entropy-based optimal sensor networks for structural health monitoring of a cable-stayed bridge

Smart Structures and Systems, 2009

ABSTRACT The sudden collapse of Interstate 35 Bridge in Minneapolis gave a wake-up call to US mun... more ABSTRACT The sudden collapse of Interstate 35 Bridge in Minneapolis gave a wake-up call to US municipalities to re-evaluate aging bridges. In this situation, structural health monitoring (SHM) technology can provide the essential help needed for monitoring and maintaining the nation&#39;s infrastructure. Monitoring long span bridges such as cable-stayed bridges effectively requires the use of a large number of sensors. In this article, we introduce a probabilistic approach to identify optimal locations of sensors to enhance damage detection. Probability distribution functions are established using an artificial neural network trained using a priori knowledge of damage locations. The optimal number of sensors is identified using multi-objective optimization that simultaneously considers information entropy and sensor cost-objective functions. Luling Bridge, a cable-stayed bridge over the Mississippi River, is selected as a case study to demonstrate the efficiency of the proposed approach.

Power control algorithms in wireless communications

This paper presents a comprehensive review of the published algorithms on power control for cellu... more This paper presents a comprehensive review of the published algorithms on power control for cellular systems. The majority of the research is focused on Code Division Multiple Access (CDMA) systems, although a small fraction of the reviewed literature pertains to Frequency Division Multiple Access (FDMA) and Time Division Multiple Access (TDMA).

Low-Cost Inertial Navigation

Studies in Systems, Decision and Control, 2015

On issues and considerations in modern mobile robotics

International Journal of Automation and Control, 2008

ABSTRACT Designing an adaptable and robust robotic platform is very critical in providing a tool ... more ABSTRACT Designing an adaptable and robust robotic platform is very critical in providing a tool to test and use highly needed autonomous behaviours. As the required capabilities increase, the complexity of the designed platform also increases and results in more challenges. In this paper, we survey some key issues and possible solutions in the design of mobile robotic platforms. We also present our design that is based on the tracked robot named MATILDA made by Mesa Robotics.

Erratum: Control and Systems Engineering

Studies in Systems, Decision and Control, 2015

Systems Engineering and Autonomous Control

International Journal of Intelligent Computing in Medical Sciences & Image Processing, 2008

Applications of Fuzzy Logic to Digital Phase-Locked Loop

An Inertial Navigation System for Autonomous Outdoor Robots

Leveraging wireless communication systems for aiding inertial-based navigation systems

2015 10th System of Systems Engineering Conference (SoSE), 2015

An update on the framework for a junior level design course

2015 10th System of Systems Engineering Conference (SoSE), 2015

Transmission power management in ad hoc networks: issues and advantages

Proceedings. 2005 IEEE Networking, Sensing and Control, 2005., 2005

Power management is a very important aspect of ad-hoc networks. With power management capacity, t... more Power management is a very important aspect of ad-hoc networks. With power management capacity, throughput and battery lifetime could be increased, and latency could be reduced. But all of these advantages may be hindered depending on the power management employed and depending on the network configuration. In this paper, issues and advantages involved in the design of power control and

High-accuracy heading determination

2013 8th International Conference on System of Systems Engineering, 2013

In a system of systems context, a variety of applications are dependent on the knowledge of locat... more In a system of systems context, a variety of applications are dependent on the knowledge of location and attitude of individual agents in order to collaborate. For example, a soldier on the battle field observing a potential target transmits this information to a base station which then is shared with an unmanned air vehicle for surveillance. Without precise knowledge of the soldier's position and azimuth angle to the target, the handoff to the UAV would not carry much merit. The availability of low-cost MEMS inertial measurement units (IMU) increases the feasibility of realizing a compact inertial navigation systems (INS) capable of operating in a variety of environments, including GPS degraded or denied scenarios. Due to errors in the IMU, it is very challenging to self-initialize the attitude of the device in a reasonable time frame. In this paper, we present a novel approach that utilizes a unique magnetohydrodynamic (MHD) angular rate sensor (ARS) in a carouseling configuration in order to perform attitude selfinitialization to within 4-milli radians in less than a minute. Further more, real environmental issues, such as platform vibration and base motion (e.g. sinking) are also addressed.

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Applied Stochastic Learning Automata in Modeling and Simulation

A Virtual Laboratory for Autonomous

In this paper we present the use of stochastic learning automata (SLA) in mutli-agent robotics. I... more In this paper we present the use of stochastic learning automata (SLA) in mutli-agent robotics. In order to fully utilize and implement learning control algorithms in the control of multi-agent robotics, an environment for simulation has to be first created. A virtual laboratory for simulation of autonomous agents, called V-Lab is described. The V-Lab architecture can incorporate various models of the environment as well as the agent being trained. A case study to demonstrate the use of SLA-based learning control of two cooperative robots is presented.

Non-parametric expectation maximization: a learning automata approach

SMC'03 Conference Proceedings. 2003 IEEE International Conference on Systems, Man and Cybernetics. Conference Theme - System Security and Assurance (Cat. No.03CH37483), 2003

... Wael Abd-Almageed&amp;quot; Aly El:Osery# Christopher E. Smith&amp;quot; ... This num... more ... Wael Abd-Almageed&amp;quot; Aly El:Osery# Christopher E. Smith&amp;quot; ... This number bas to be specified accurately, in order to hit the right balance between the accuracy of density estimation from one side, and the complexity of the function, which affects the speed of both training&amp;#x27;and testing ...

7. Image Enhancement: Probability versus Fuzzy Expert Systems

Bridging the Gap, 2002

Control and Systems Engineering

Studies in Systems, Decision and Control, 2015

<title>A fuzzy-statistical contour model for MRI segmentation and target tracking</title>

Visual Information Processing XIII, 2004

In this paper, a new formulation for the parametric active contour model is presented. The new fo... more In this paper, a new formulation for the parametric active contour model is presented. The new formulation is based on statistical pattern recognition theory. A hybrid of kernel density estimation and fuzzy logic is used to show that active contours can be thought of as a pattern recognition problem. The proposed approach is used in two different application domains, with

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