Gamal Aly

Ain Shams University, Computers and Systems Engineering, Faculty Member

Followers

Following

Co-authors

Public Views

Professor of Systems and Computer Engineering. Recently I focus on Software Engineering

less

Mohammed Seyam

Mansoura University

Michael Spivey

University of California, Merced

Oleg Yu Vorobyev

Siberian Federal University

Marc Champagne

Kwantlen Polytechnic University

David Seamon

Kansas State University

Remo Caponi

University of Cologne

Gabriela Tomaselli

Universidad Tecnologica Nacional

Cabbar Veysel Baysal

Cukurova University

Paul Williams

Indiana University

Hadi Winarto

RMIT International University Vietnam

Interests

Uploads

Papers by Gamal Aly

A modified quasilinearization technique for optimal control problems with unspecified final time†

International Journal of Control, 1973

This paper presents an algorithm for t.he computation of a class of optimal control problems whic... more This paper presents an algorithm for t.he computation of a class of optimal control problems which can be reduced to a non-linear two-point boundary-value problem wit.h unspecified final time. The algorithm is based on a modified quasilinearization technique. Two examples are included for illustration.

Download

New fuzzy-based indoor positioning scheme using ZigBee wireless protocol

2012 Seventh International Conference on Computer Engineering & Systems (ICCES), 2012

This paper proposes new fuzzy-based scheme providing position information vital for smart home ap... more This paper proposes new fuzzy-based scheme providing position information vital for smart home applications. The scheme runs efficiently on the economical wireless ZigBee nodes and uses the link quality indicator (LQI) measured without the need for any additional hardware. It uses fuzzy logic to represent measure noise and surrounding environmental impacts. Position estimation is based upon the fuzzy information provided by all available ZigBee nodes and the surrounding environment is modeled by assembling a set of representative fuzzy vectors. Fuzzy levels are determined by applying the K-means algorithm given the LQI distribution as input. The scheme performance is compared to two popular schemes, the I3BM and the Environment Adaptive. The three are implemented using the Jennic JN5148 ZigBee PRO kit. It is demonstrated that for regular motion the proposed scheme significantly outperforms the other two without high computational cost, slow response, or large memory requirement.

Area estimation of LUT based designs

International Conference on Electrical, Electronic and Computer Engineering, 2004. ICEEC '04., 2004

Abstract-In this paper, we present an area estimator of LUT based designs. Our estimator takes in... more

Digital design of variable structure control systems

International Journal of Systems Science, 1990

Reachability conditions are developed for discrete single-input-single-output variable structure ... more Reachability conditions are developed for discrete single-input-single-output variable structure control systems described by linear mathematical models in general state-space form to reach a switching function from anywhere in state space. Stability conditions of a sliding mode are investigated. A modified algorithm is proposed to simplify the design procedure. Practical application to a thermal process has been achieved by using the

Fuzzy Logic Based Collision Avoidance System for Autonomous Navigation Vehicle

2018 13th International Conference on Computer Engineering and Systems (ICCES), 2018

In order to decrease the accidental traffic in the real world, many kinds of research in the adva... more In order to decrease the accidental traffic in the real world, many kinds of research in the advanced driver-assistance systems (ADAS) programs have been made. Pre-defined path tracking with obstacle avoidance is one of them and hasn’t been fully automated yet. In this paper, a fuzzy logic controller approach is proposed for collision avoidance safety system (CAS) with self-driving vehicle navigation control. The navigation controller gives the desired tires angle to keep our vehicle on right track till reaching goal point while processing the 2D laser information in case of obstacle or pedestrian detection leading to safety maneuvering or suddenly stop. Experimental work was performed on GAZEBO simulation tool and the controller was designed and implemented on MATLAB Simulink. The results show that the controller provides a significant improvement in decision making while navigation.

Suspicious Human Activity Recognition using Statistical Features

2018 13th International Conference on Computer Engineering and Systems (ICCES), 2018

This paper presents a new algorithm for suspicious human activity recognition in videos based on ... more This paper presents a new algorithm for suspicious human activity recognition in videos based on a combination of two different feature types. The first feature concerns the shape and is called shape moments. The second concerns the boundary coordinates and is called "Histogram of Normalized Distances (HND) from Center of gravity of the object shape (COG) and it's contour points" combining these features leads to the formation of a strong complementary feature vector that captures effective discriminate details of human action videos. The authors used two methods for classification, the Multi-class Support Vector Machine and Naive Bayes classifier. The classification by using the Multi-class SVM classifier verified recognition rate up to 95.6 %, but the Naive Bayes classifier verified 97.2%. The authors evaluated the suspicious activity recognition on 250 videos from HMDB data set. Five distinct suspicious human activities (e.g., Running, Punching, Kicking, Shooting guns and Falling floor, etc.) by 250 different persons. Experiments on HMDB show that the presented system can recognize suspicious activities effectively and accurately in surveillance videos.

Human Activity Recognition System (Hars) Using Histogram of Normalized Fourier Descriptor

Journal of Al-Azhar University Engineering Sector, 2017

This paper presents a system, which is able to recognize different continuous human activities in... more This paper presents a system, which is able to recognize different continuous human activities in real time from videos using a single stationary camera. The proposed system has a motion descriptor, Called histogram of normalized Fourier descriptor of object contour. After image segmentation the proposed system extract the object contour and estimate the FD "Fourier descriptor" of that contour then normalize FD to cancel the effect of starting point variation ,Rotation and Scale. The histogram of the normalized Fourier descriptor is used as a feature vector.The authors used three methods for classification Support Vector Machine,One versus all support vector machine and Naive Bayes classifier. The classification by using SVM shows better performance than other methods. Experimental results on two data sets weizman and KTH validate the proposed system reliability and efficiency.

Download

Human Activities Recognition Using Shape Moments and Histogram of Normalized Distances “Hnd”

Journal of Al-Azhar University Engineering Sector, 2018

this paper presents an algorithm for human activities recognition in videos based on a combinatio... more this paper presents an algorithm for human activities recognition in videos based on a combination of two different feature types The first feature type concerns the shape and is called the Shape moments. The second feature type concerns the contour boundary coordinates and the feature is called Histogram of Normalized Distances from Center of gravity of the object Shape "COG" and it's Contour points "HND". Combining these features leads to the formation of a strong complementary feature vector that captures effective discriminate details of human action videos. We use two classifiers; the first is Multi-class Support Vector Machine and the second is Naïve Bayes classifier. The Recognition rate by using Multi-class SVM classifier is up to 95.6 % but by using Naive Bayes classifier is 97.2%.

Download

An intelligent adaptive controller based on neural networks

Control and Computers, 1994

A new adaptive intelligent control scheme based on artificial neural network is presented. The pr... more A new adaptive intelligent control scheme based on artificial neural network is presented. The proposed intelligent controller is used to improve the system performance of a complex control system of known or unknown model where the reference input of the system is modified to produce the desired output. Simulation results are included to demonstrate the effectiveness of the proposed scheme.

RTOS Modeling Using SystemC

The Kluwer International Series in Engineering and Computer Science, 2003

In this paper we present our methodology for modeling a priority-based preemptive real time opera... more In this paper we present our methodology for modeling a priority-based preemptive real time operating system (RTOS) kernel in SystemC. We use the current modeling constructs of SystemC 2.0 and throughout our development of the kernel’s system calls we propose new constructs that can be used in RTOS modeling. We show then the interaction of the embedded software module consisting of the RTOS kernel and the running application tasks with a hardware module representing a bus functional model (BFM) of a generic microcontroller.

A principal component analysis ensemble classifier for P300 speller applications

2013 8th International Symposium on Image and Signal Processing and Analysis (ISPA), 2013

ABSTRACT Recent advances in developing Brain-Computer Interfaces (BCIs) have opened up a new real... more ABSTRACT Recent advances in developing Brain-Computer Interfaces (BCIs) have opened up a new realm for designing efficient systems that could enable disabled people to communicate. The P300 speller is one important BCI application that allows the selection of characters on a virtual keyboard by analyzing recorded electroencephalography (EEG) activity. In this work, we propose an ensemble classifier that uses Principal Component Analysis (PCA) features to identify evoked P300 signals from EEG recordings. We examine the performance of the proposed method, using different linear classifiers, on the datasets provided by the BCI competition III. Results demonstrate a classification accuracy of 91% using the proposed method. In addition, our results indicate a significant improvement in classification accuracy compared to traditional feature extraction and classification approaches. The proposed method results in low across-subjects variability compared to other methods with minimal parameter tuning required which could be useful in mobile platform P300 applications.

Task allocation using inherited area density multiobjective particle Swarm Optimization

2007 IEEE Congress on Evolutionary Computation, 2007

In this paper, we present a new approach that helps managers to optimize task allocation and work... more In this paper, we present a new approach that helps managers to optimize task allocation and work load distribution using multiobjective particle swarm optimization (MOPSO). A new algorithm has been introduced to increase number of nondominated solutions (Pareto front size), by using inheritance of nondominated solutions density estimators and modifying density estimation algorithm. The performance of the new algorithm is

AMAP for typecasting

IEEE Potentials, 2001

We introduce a design of an associative memory array processor (AMAP) to be used in character rec... more We introduce a design of an associative memory array processor (AMAP) to be used in character recognition. The design example is based upon the bit-parallel organization. The AMAP consists of identical processing elements that can store information about a specific position into the pattern and also contain some logic gates to carry out logical operations. No effort has been made

Fuzzy logic-based variable structure controllers

Journal of Microcomputer Applications, 1995

A fuzzy logic control scheme based on the variable structure system concept is presented. This sc... more A fuzzy logic control scheme based on the variable structure system concept is presented. This scheme is introduced to eliminate the necessity of relying on the mathematical description of the system. The rule-based fuzzy model is developed in a linguistic description of the dynamic characteristics of the controlled process. Simulation results demonstrate the effectiveness of the proposed scheme as compared with the conventional variable structure systems.

Towards a Framework Empowering Software Testing Process for Better Quality

International Journal of Computer Applications, 2014

Software development frameworks are considered the engine that leads the development activities w... more Software development frameworks are considered the engine that leads the development activities within software development organizations, so the main interest in this research is establishing a framework to effectively lead the development activities to enhance the software quality. The proposed framework relates each development phase with its available artifacts, software metrics can be extracted from its artifacts and relates the test practices and QA best practices during the SDLC. It provides an organized approach to handle miscommunication and poor team management that usually lead to team confusion. It also provides a way to disengage the ambiguity between the software fault and failure through establishing a clear relationship between the both concepts and developing automated models to predict the software correctness and measure its reliability.

Download

Using product line architectures to leverage systematic reuse of business knowledge

Proceedings of the 2010 Workshop on Knowledge-Oriented Product Line Engineering - KOPLE '10, 2010

Software Product Line Engineering (PLE) exploits systematic reuse by identifying and methodically... more Software Product Line Engineering (PLE) exploits systematic reuse by identifying and methodically reusing software artifacts to develop different but related software systems. Developing product lines requires analysis skills to identify, model, and encode domain and product knowledge into artifacts that can be systematically reused across the development life-cycle. As such, knowledge plays a paramount role in the success of the

The computation of optimal singular control

International Journal of Control, 1978

An algorithm for the solution of optimal control problems with singular subarcs is presented. The... more An algorithm for the solution of optimal control problems with singular subarcs is presented. The modified quasilinearization is extended to the solution of those problems where the initial conditions are updated successively. A major advantage of the quasilinearization method is its rapidity of convergence despite its simplicity in programming. It is not necessary to introduce penalty functions for the treatment

Multilevel technique for the computation of optimal singular control

International Journal of Control, 1979

This paper presents an algorithm for the computation of optimal singular control. The trajectory ... more This paper presents an algorithm for the computation of optimal singular control. The trajectory is decomposed to singular and non-singular sub-arcs. Each sub-arc is optimized locally. The interactions between different sub-arcs are then determined by a second level controller. An illustrative example is included.

Download

Neural network learning approach of intelligent multimodel controller

IEE Proceedings - Control Theory and Applications, 1996

The authors present a novel intelligent control scheme based on an artificial neural network. The... more The authors present a novel intelligent control scheme based on an artificial neural network. The proposed controller is based on the multimodel approach to improve the system performance of a complex control system of linear or nonlinear characteristics when it operates at various operating conditions. The multimodel control scheme depends on the multiple representation of a process using different models that generate the control signal needed to make the system follow a prescribed desired trajectory. The proposed controller is implemented by a multilayer neural network to locate the model that best represents the process and generate the desired control signal to drive the process along the desired path. The proposed controller is robust as it can accommodate high and sudden deviation from the prescribed trajectory. Simulation results are included to illustrate the potential of the controller developed. 2 Statement of the problem Consider the control scheme shown in Fig. 1 where the parameters of the conventional controller are tuned such that the output y(t) tracks the desired trajectory 39s

Download

Two-level optimal stabilization in multi-machine power systems

Electric Power Systems Research, 1983

ABSTRACT

A modified quasilinearization technique for optimal control problems with unspecified final time†

International Journal of Control, 1973

Download

New fuzzy-based indoor positioning scheme using ZigBee wireless protocol

2012 Seventh International Conference on Computer Engineering & Systems (ICCES), 2012

Area estimation of LUT based designs

International Conference on Electrical, Electronic and Computer Engineering, 2004. ICEEC '04., 2004

Abstract-In this paper, we present an area estimator of LUT based designs. Our estimator takes in... more

Digital design of variable structure control systems

International Journal of Systems Science, 1990

Fuzzy Logic Based Collision Avoidance System for Autonomous Navigation Vehicle

2018 13th International Conference on Computer Engineering and Systems (ICCES), 2018

Suspicious Human Activity Recognition using Statistical Features

2018 13th International Conference on Computer Engineering and Systems (ICCES), 2018

Human Activity Recognition System (Hars) Using Histogram of Normalized Fourier Descriptor

Journal of Al-Azhar University Engineering Sector, 2017

Download

Human Activities Recognition Using Shape Moments and Histogram of Normalized Distances “Hnd”

Journal of Al-Azhar University Engineering Sector, 2018

Download

An intelligent adaptive controller based on neural networks

Control and Computers, 1994

RTOS Modeling Using SystemC

The Kluwer International Series in Engineering and Computer Science, 2003

A principal component analysis ensemble classifier for P300 speller applications

2013 8th International Symposium on Image and Signal Processing and Analysis (ISPA), 2013

Task allocation using inherited area density multiobjective particle Swarm Optimization

2007 IEEE Congress on Evolutionary Computation, 2007

AMAP for typecasting

IEEE Potentials, 2001

Fuzzy logic-based variable structure controllers

Journal of Microcomputer Applications, 1995

Towards a Framework Empowering Software Testing Process for Better Quality

International Journal of Computer Applications, 2014

Download

Using product line architectures to leverage systematic reuse of business knowledge

Proceedings of the 2010 Workshop on Knowledge-Oriented Product Line Engineering - KOPLE '10, 2010

The computation of optimal singular control

International Journal of Control, 1978

Multilevel technique for the computation of optimal singular control

International Journal of Control, 1979

Download

Neural network learning approach of intelligent multimodel controller

IEE Proceedings - Control Theory and Applications, 1996

Download

Two-level optimal stabilization in multi-machine power systems

Electric Power Systems Research, 1983

ABSTRACT

Gamal Aly

Related Authors

Uploads

Papers by Gamal Aly

Log In