Ahmad Tolba | Mansoura University (original) (raw)

Papers by Ahmad Tolba

Int. J. Comput. Their Appl., 2001

A molded outsole for an athletic shoe including molded, non-metallic studs or cleats includes a p... more A molded outsole for an athletic shoe including molded, non-metallic studs or cleats includes a plurality of first substantially identical studs and a plurality of second substantially identical studs. The first studs have a shape characterized by three partially-overlapping frustoconical shapes, blended together to present an outline which does not retain dirt, in a triangular pattern, and produce a stud shorter than a second stud. The second studs have a shape characterized by a large frustoconical portion bounded by two partially-overlapping smaller frustoconical portions, of equal height, arranged to define a generally arcuate shape presenting a concave face and a convex face, the large frustoconical portion and the two small frustoconical portions being appropriately filleted to produce a smooth surface which does not retain dirt. These second studs may be oriented to support traction primarily in a predetermined direction, and to allow pivoting. The smaller studs may be orient...

Brain computer interfaces (BCIs), devices that tap directly into brain signals, show promise in p... more Brain computer interfaces (BCIs), devices that tap directly into brain signals, show promise in providing rehabilitation but remain in research. Also, BCIs cannot work if the target signals have been eliminated due to injury. A Brain-Computer Interface (BCI) is a system which can bypass the normal motor output through the spine by using bioelectrical signals recorded on the intact scalp during purely mental activity. Such a BCI must be able to classify EEG patterns on-line and can be used to control, e.g. the movement of a cursor on a monitor. Empirical Mode Decomposition (EMD) is designed primarily for obtaining efficient method for decomposing a signal into a set of intrinsic mode functions (IMFs) and a trend is roposed. Unlike the original empirical mode decomposition (EMD), which uses spline fits to extract variations from the signal by separating the local mean from the fluctuations in the decomposing process, this new method being proposed takes advantage of the theory of vari...

Journal of Intelligent & Fuzzy Systems, 2020

Automated visual inspection is becoming an important field of computer vision in many industries.... more Automated visual inspection is becoming an important field of computer vision in many industries. The real-time inspection of flat surface products is a task full of challenges in industrial aspects that requires fast and accurate algorithms for detection and localisation of defects. Structural, statistical and filter-based approaches, such as Gabor Filter Banks, Log-Gabor filter and Wavelets, have high computational complexity. This paper introduces a fast and accurate model for inspection and localization of industrial flat surface products: Neighborhood Preserving Perceptual Fidelity Aware Mean Squared Error (NP-PAMSE). The Extreme Learning Machine (ELM) is used for classification. ELM is found to be the perfect classifier for detecting defects. The proposed model resulted in defect detection accuracy of 99.86%, with 98.16% sensitivity, and 99.90% specificity. These results show that the proposed model outperforms many existing defect detection approaches. The discriminant power displays the efficiency of ELM in differentiation between normal and abnormal surfaces.

MEJ. Mansoura Engineering Journal, 1993

Textile Research Journal, 2010

Defect detection of textiles is a necessary requirement for quality control and customer satisfac... more Defect detection of textiles is a necessary requirement for quality control and customer satisfaction. This paper presents a system for decision fusion in order to enhance the accuracy of defect detection in textiles. A multi-classifier decision fusion technique based on majority voting is presented to solve the problems of sensitivity to parameter variation and to make use of the advantages of the individual feature sets for accurate texture characterization. Features based on Gray Level Co-occurrence Matrix (GLCM), Laws Energy (LE) Filter, Local Binary Patterns (LBP), HU Moment invariants, Moment of Inertia (MOI) and Standard Deviation of Gray levels are used to train a set of Learning Vector Quantization (LVQ) classifiers. Detection accuracies of classifiers trained on single-feature sets are compared with those of the majority voting among the individual classifiers. The results obtained from majority voting indicate that the decision fusion technique improves the accuracy and r...

Believing of the importance of biometrics in this research, we have presented a fused system that... more Believing of the importance of biometrics in this research, we have presented a fused system that depends upon multimodal biometric system traits face, iris, and fingerprint, achieving higher performance than the unimodal biometrics. The proposed system used Local Binary Pattern with Variance histogram (LBPV) for extracting the preprocessed features. Canny edge detection and Hough Circular Transform (HCT) were used in the preprocessing stage while, the Combined Learning Vector Quantization classifier (CLVQ) was used for matching and classification. Reduced feature dimensions are obtained using LBPV histograms which are the input patterns for CLVQ producing the classes as its outputs. The fusion process was performed at the decision level based on majority voting algorithm of the output classes resulting from CLVQ classifier. The experimental results indicated that the fusion of face, iris, and fingerprint has achieved higher genuine acceptance recognition rate (GAR) 99.50% with mini...

Textile Research Journal

ABSTRACT Homoscedasticity of homogeneous flat surface products is a necessary condition for a hig... more ABSTRACT Homoscedasticity of homogeneous flat surface products is a necessary condition for a high quality product. The quality of homogeneous flat surface products, like paper sheets, steel slabs, textiles, and glasses, plays a crucial role in raising the profile of the manufacturing companies. This paper presents a new approach for defect detection using the Levene's test, which is used for testing the homogeneity of variances of samples drawn from the same population. It is assumed that the variances of samples taken from the same population are equal. Occurrence of defects results in a Levene's test measure that is higher than some critical value indicating that the null hypothesis of equal variances is rejected. Noise immunity of the proposed technique is ensured through pre-filtering the fabric image using the Wiener filter that is an edge preserving filter. The robustness to variations of the sliding window size and the structures of fabric is analyzed. The major advantages of the proposed technique are the low computational complexity and noise immunity while maintaining high accuracy.

The International Journal of Advanced Manufacturing Technology, 2015

ABSTRACT Manufacturing defects in flat surface products such as thin films, paper, foils, aluminu... more ABSTRACT Manufacturing defects in flat surface products such as thin films, paper, foils, aluminum plates, steel slabs, fabrics, and glass sheets result in degradation of the visual quality of the product image. This leads to less satisfied customers, waste of material, and bad company reputation. This research presents a novel application of image visual quality measures such as the multiscale structural similarity index (MS-SSIM). A novel algorithm has been implemented for fast detection and location of defects in many flat surface products. Comparison of the proposed algorithm with the state-of-the-art approaches indicate promising results. A defect detection accuracy of 99.1 % has been achieved with 98.62 % precision, 97.7 % recall/sensitivity, and 100 % specificity. The discriminant power shows how well the MS-SSIM discriminates very effectively between normal and abnormal surfaces. The MS-SSIM has resulted in much better performance than the single-scale SSI approach but at the cost of relatively lower processing speed. The major advantages of the presented approach are as follows: scale invariance, avoiding the problem of parameter selection in the case of the state-of-the-art Gabor filter banks based approach, the higher detection accuracy, and the quasi real-time processing speed.

International Journal of Applied Information Systems, 2016

The task of face recognition has been actively researched in recent years. This paper provides an... more The task of face recognition has been actively researched in recent years. This paper provides an up-to-date review of major human face recognition research. We first present an overview of face recognition and its applications. Then, a literature review of the most recent face recognition techniques is presented. Description and limitations of face databases which are used to test the performance of these face recognition algorithms are given. A brief summary of the face recognition vendor test (FRVT) 2002, a large scale evaluation of automatic face recognition technology, and its conclusions are also given. Finally, we give a summary of the research results.

International Journal of Hybrid Intelligent Systems, 2009

Abstract. This paper presents a new approach for building a committee machine (LVQCM) that is bas... more Abstract. This paper presents a new approach for building a committee machine (LVQCM) that is based on learning vector quantization (LVQ) neural networks. The proposed committee machine was then applied to solve the problem of facial gender recognition. Design of individual ...

International Journal of Hybrid Intelligent Systems, 2010

ABSTRACT This paper introduces a novel method for defect detection in homogeneous flat surface pr... more ABSTRACT This paper introduces a novel method for defect detection in homogeneous flat surface products. The coefficient of variation is used as a homogeneity measure for approximate defect localization and features extracted from the Log - Gabor filter bank response are used to accurately localize and detect the defect while reducing the complexity of Gabor based inspection approaches. The scanning window size and threshold parameter are the two major factors that affect the system performance. An adaptive technique is proposed for selecting the size of the scanning window and automating the selection of the threshold level. Compared to the Log-Gabor filters, the proposed combination resulted in speeding up the defect detection process by about ten times. The experimental results show that the proposed system gives promising results and is applicable for defect detection in homogeneous surfaces like paper, steel plates, ceramic tiles and foils.

2009 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT), 2009

... Fusion AS Tolba Faculty of Computer Studies, Arab Open University, HQ a.tolba@arabou.edu. kw ... more ... Fusion AS Tolba Faculty of Computer Studies, Arab Open University, HQ a.tolba@arabou.edu. kw HAKhan Faculty of Computer Studies, Arab Open University, HQ h.khan@arabou.edu.kw Hazem M. Raafat Math. &Computer Sci. Dept. Kuwait University hazem.raafat@ku.edu.kw ...

ICM'99. Proceedings. Eleventh International Conference on Microelectronics (IEEE Cat. No.99EX388), 2000

Face detection in a natural scene is an essential step in automated human face recognition. The e... more Face detection in a natural scene is an essential step in automated human face recognition. The eyes-strip of a human face plays the most important part in the detection process, since this area is not affected by hairstyle. Geometric techniques for feature extraction have the problems of sensitivity to lighting conditions and facial expressions. The weakness of the geometric techniques

PARALLEL COMPUTING ELSEVIER Parallel Computing 24 (1998) 181 -203 Practical aspects Implementatio... more PARALLEL COMPUTING ELSEVIER Parallel Computing 24 (1998) 181 -203 Practical aspects Implementation and performance evaluation of a parallel ocean model Manu Konchady a'\ Arun Sood "*, Paul S. Schopf c-2 a Mitre Corporation, McLean, VA 22 ¡02, USA Department of ...

Huffman Compression, also known as Huffman Coding, is one of many compression techniques in use t... more Huffman Compression, also known as Huffman Coding, is one of many compression techniques in use today. The two important features of Huffman coding are instantaneousness that is the codes can be interpreted as soon as they are received and variable length that is a most frequent symbol has length smaller than a less frequent symbol. The traditional Huffman coding has two procedures: constructing a tree in O(n^2) and then traversing it in O(n). Quantum computing is a promising approach of computation that is based on equations from Quantum Mechanics. Instantaneousness and variable length features are difficult to generalize to the quantum case. The quantum coding field is pioneered by Schumacher works on block coding scheme. To encode N signals sequentially, it requires O(N3) computational steps. The encoding and decoding processes are far from instantaneous. Moreover, the lengths of all the codewords are the same. A Huffman-coding-inspired scheme for the storage of quantum informati...

2007 International Conference on Computer Engineering & Systems, 2007

Mining knowledge from large amounts of spatial data is known as spatial data mining. It becomes a... more Mining knowledge from large amounts of spatial data is known as spatial data mining. It becomes a highly demanding field because huge amounts of spatial data have been collected in various applications ranging from geo-spatial data to bio-medical knowledge. The amount of spatial data being collected is increasing exponentially. So, it far exceeded human&amp;amp;amp;amp;#x27;s ability to analyze. Recently, clustering has

The Open Biomedical Engineering Journal, 2010

The last decade has witnessed an explosive use of medical images and Electronics Patient Record (... more The last decade has witnessed an explosive use of medical images and Electronics Patient Record (EPR) in the healthcare sector for facilitating the sharing of patient information and exchange between networked hospitals and healthcare centers. To guarantee the security, authenticity and management of medical images and information through storage and distribution, the watermarking techniques are growing to protect the medical healthcare information. This paper presents a technique for embedding the EPR information in the medical image to save storage space and transmission overheads and to guarantee security of the shared data. In this paper a new method for protecting the patient information in which the information is embedded as a watermark in the discrete wavelet packet transform (DWPT) of the medical image using the hospital logo as a reference image. The patient information is coded by an error correcting code (ECC), BCH code, to enhance the robustness of the proposed method. ...

Quantum computing is a promising approach of computation that is based on equations from Quantum ... more Quantum computing is a promising approach of computation that is based on equations from Quantum Mechanics. A simulator for quantum algorithms must be capable of performing heavy mathematical matrix transforms. The design of the simulator itself takes one of three forms: Quantum Turing Machine, Network Model or circuit model of connected gates or, Quantum Programming Language, yet, some simulators are hybrid. We studied previous simulators and then we adopt features from three simulators of different implementation languages, different paradigms, and for different platforms. They are Quantum Computing Language (QCL), QUASI, and Quantum Optics Toolbox for Matlab 5. Our simulator for quantum algorithms takes the form of a package or a programming library for Quantum computing, with a case study showing the ability of using it in the circuit model. The .NET is a promising platform for computing. VB.NET is an easy, high productive programming language with the full power and functionali...

The 10th IEEE International Symposium on Signal Processing and Information Technology, 2010

Page 1. A General Framework For Remote Laboratory Access: A Standarization Point Of ViewYasser H.... more Page 1. A General Framework For Remote Laboratory Access: A Standarization Point Of ViewYasser H. Elawady Faculty of computers and Information technology Taif University, Taif, KSA. y.alawadi@tu.edu.sa ... 1l8. 176.9O o.,ss 3/1 Fig.6. Login screen Port 54321 ...

International Journal of Computer Applications, 2011

Hands-on laboratory experiments are a vital part of engineering and physical sciences education, ... more Hands-on laboratory experiments are a vital part of engineering and physical sciences education, having a strong impact on students' learning outcomes. With the increased usage of electronic kits in the educational laboratories, and the need for training a huge number of students on these kits, it is imperative to enable to remote access to a physical laboratory, either as part of an on-site or distance learning course. In addition to the convenience provided to students, there are also cost and safety related benefits. Many institutions can not afford the expensive equipment provided in a physical lab. Such laboratories are very convenient and effective for learning hardware design concepts and elaborating hardware-based graduation projects. This paper addresses the hardware (HW) and software (SW) tools necessary for building a general framework for remote laboratory access. The proposed system allows performing experiments remotely across the Internet via web interface as well as locally in the classroom. In addition, it introduces enhancements for the remote lab activities leading to improving its performance and makes the data transfer more secure.