Time filter
Source Type

Zaky M.H.,AASTMT | Nasser A.A.,AASTMT | Khedr M.E.,AASTMT
Communication, Management and Information Technology - Proceedings of the International Conference on Communication, Management and Information Technology, ICCMIT 2016 | Year: 2017

In Brain Computer Interface (BCI), a subject’s thoughts are read to provide an appropriate way of communication where only brain signals are used. The Information of Electroencephalogram (EEG) signals defer between subjects depending on their thoughts according to research. In this paper, a combined feature extraction method is proposed to obtain the best result of discrimination between three Motor Imagery (MI) movements which are Left Hand, Right Hand and both Feet through an offline analysis for two subjects. The signals are featured using statistical time domain features, Band Power (BP), statistical from Discrete Wavelet Transform (DWT) coefficients and Common Spatial Pattern (CSP), then the features are classified using Linear Discriminant Analysis (LDA), K-Nearest Neighbors (K-NN), Naive Bayes and Linear Support Vector Machine (SVM). The combination of CSP and statistical time domain features classified using LDA is found to outperform all other combinations with an average accuracy above 95%. © 2017 Taylor & Francis Group, London.

Ismail O.,AASTMT
ICCTD 2010 - 2010 2nd International Conference on Computer Technology and Development, Proceedings | Year: 2010

Interest point detection and matching is a basic computer vision task. This paper uses the Non-Subsampled Contourlet Transform (NSCT) detector with some local descriptors to develop a robust Interest point matching system. The NSCT -based detector is very efficient in extracting relevant image features that have good localization and rich geometric information. Once interest points have been extracted, invariant descriptors can be computed to represent these points and match them by comparing their descriptors using similarity distance metric measure. Several experiments have been conducted on a variety of datasets that compare the proposed approach to the widely used Harris and Hessian detectors with the same local descriptors. The results show that the NSCT method is efficient in natural scenes with distinctive texture, occlusion and clutter objects. It offers robustness for detecting points in blurred images. It is also invariant to rotation, translation, and partially invariant to scale and viewpoint angle changes. © 2010 IEEE.

Ismail N.M.,AASTMT | Ismail N.M.,CA Technologies | Iskander M.,Coastal Research Institute | El-Sayed W.,Coastal Research Institute
Proceedings of the Coastal Engineering Conference | Year: 2012

This paper presents an assessment of the performance of a shoreline revetment; M. Ali Seawall, placed to protect the land behind against flooding and overtopping at coastal site, within Abu Qir Bay, East of Alexandria along the Nile Delta coast. Coastal zone management of the bay coastline is of utmost significance to the protection of the low agricultural land and the industrial complex located in the rear side of the seawall under the current and progressive effects of climate change. The latest storm in December 2010, which hit the Nile Delta and which was the severest in the last decades showed that generated surges, up to 1.0 m as well as a maximum of 7.5 m wave height in the offshore of Alexandria presented a major natural hazard in coastal zones in terms of wave run up and overtopping. The storm, fortunately, resulted in a partial and modest flooding of the zone behind the seawall particularly in the beach segment, located in the middle of the seawall. This research project aims to the design review of the seawall which was first constructed in 1830 to protect the lowland agricultural area, 2.0 m below mean sea level, and was rehabilitated in 1981 as part of the Master Plan of the Nile Delta Coastal Zone Management. The seawall was further upgraded in 2009; one year before the 2010 storm. The paper will give an overview of the seawall design and its upgrades and the current conducted hydrodynamic analyses to estimate wave height distributions, wave run up and overtopping over the seawall and its beach segment. Use has been made of the in-house modified ImSedTran-2D model as well as universal design standards as EurOtop (2008). Based on the results for worst design scenarios, recommendations are given to increase the height of the seawall cap, to strengthen the beach top and back slope with a facility to drain storm water to increase coastal resilience behind the seawall. Comparison of the predicted overtopping with the observed wave overtopping volumes during the 8hrs-2010 storm, allowed the verification of the used universal design tools. Impact of precise estimate of storm and barometric surge as well as seawall armor roughness and shapes on overtopping rates are highlighted.

Mohamed N.A.,University for Information Science and Technology | El-Azeim M.A.,AASTMT | Zaghloul A.,University for Information Science and Technology | El-Latif A.A.A.,Menoufia University
Proceedings of the 2015 7th International Conference of Soft Computing and Pattern Recognition, SoCPaR 2015 | Year: 2015

In present time, in order to provide security of multimedia data while transmission and storage processes, the protection of image data can be accomplished using encryption. This paper presents a new image encryption scheme relaying on a chaotic 3D cat map and Turing machine in the form of dynamic random growth technique. The proposed technique composed of two processes of pixels' locations confusion using a chaotic 3D cat map, which is performed concurrently with substituting values swapping pixels' locations using Turing machine. The generated key is dependent on the plain image, to resist the chosen plaintext attack. Both experimental and security analysis show that the presented technique can achieve a large key space and resist the common against cipher attacks. These good cryptographic advantages make it suitable for image transmission over network. © 2015 IEEE.

Elsaharty M.A.,AASTMT | Hamad M.S.,AASTMT | Ashour H.A.,AASTMT
IECON Proceedings (Industrial Electronics Conference) | Year: 2011

Current controlled inverter using hysteresis controller is popular due to the simplicity of the algorithm implementation with a robust dynamic response. However, the controller action requires the use of analogue circuitry to maintain its characteristics which lacks the interfacing, maintenance, flexibility, and integration of a digital system. In this paper, a digital hysteresis controller based on sampling the feedback signal and applying control action at a fixed interval is investigated. The controller is applied on three proposed configurations for a single phase grid connected inverter with a designed LCL filter and a primary control loop on the filter inductor current. Parameters affecting the hysteresis controller primary characteristics are investigated and a selection criteria of filter parameters is derived. To eliminate performance issues arising from parameters mismatching and variable switching frequency, adaptive hysteresis band calculation and a secondary control loop is proposed. By means of simulation and experimental implementation, the performance of the configurations is evaluated. © 2011 IEEE.

Elmasry M.I.S.,AASTMT | El-Ashkar N.H.,AASTMT | Alasadi M.F.A.,AASTMT
ICSDEC 2012: Developing the Frontier of Sustainable Design, Engineering, and Construction - Proceedings of the 2012 International Conference on Sustainable Design and Construction | Year: 2013

Special structures such as bridges, nuclear and power plants, etc, have unique importance. These strategic structures age and degrade with time. Previously, visual inspection was the main tool for following such structures' degradation. Recently, Structural Health Monitoring (SHM) is used by the industry as a viable technique to obtain continuous realtime data about the safety and serviceability of vital structures. Moreover, measuring electrical resistivity is a low cost, simple, efficient method that has received recent attention in terms of SHM. The objective of this study is to use electrical resistivity measurements in SHM of Reinforced Concrete (RC) beams. An experimental program is conducted to study the effect of crack initiation and propagation in RC beams on Inner Electrical Resistivity Measurements (IERM) when beams are loaded by the three-point bending test. The results show that the technique is effective in detecting cracks and can be extended to global SHM of RC structures. © 2013 American Society of Civil Engineers.

Elmasry M.I.,AASTMT | Shehadeh M.F.,AASTMT | Attia M.S.,AASTMT
International Conference on Noise and Vibration Engineering 2012, ISMA 2012, including USD 2012: International Conference on Uncertainty in Structure Dynamics | Year: 2012

Steel structures such as bridges, offshore oil and gas platforms are considered as strategic structures which may be subjected to nontraditional severe loading. Therefore, this may infer the generation of cracks and hidden damage anywhere in these structures. If such damage is not detected early, the accumulation of such hidden damage may affect seriously the integrity of the defected structures. Thus, there is a desperate need for a suitable tool for Structural Health Monitoring (SHM). This study emphasizes on applying SHM that is based on a Non Destructive Testing (NDT) technique which is the Acoustic Emission (AE). AE technique is advantageous in that it can detect the damage growth in real time. The research herein focuses on steel trusses as a structural system in making an online monitoring system that aims to detect the growing structural damage. The results show that the suggested technique is effective and useful for allocating the damage and identifying the type of damage in the steel truss members or joints in real time. © (2012) by the Katholieke Universiteit Leuven Department of Mechanical Engineering All rights reserved.

Daif A.R.,AASTMT | Rizkaa M.A.,AASTMT
2013 2nd International Conference on E-Learning and E-Technologies in Education, ICEEE 2013 | Year: 2013

In this paper, the authors propose an enhanced model for evaluating students' performance in an e-learning collaborative environment aiming to decrease courses dropout rates by helping instructors monitor and enhance their students' in-class and online activity. At the end we generate JIT (Just-InTime) reports that visually present students' and groups' performance that will help in providing instant help and guidance for students. © 2013 IEEE.

Naguib A.,AASTMT | El-Shaib M.,AASTMT | Adel M.,AASTMT | Shehadeh M.,AASTMT
International Review of Mechanical Engineering | Year: 2015

The Mechanical machining processes such as machining, cutting and welding induce residual stresses in structural elements. Welding is considered one of the common causes of such residual stresses due to metal shrinkage effects. Mild steel T-sections are widely used in many structures such as (i.e. bridges, offshore platforms and marine vessels). Since, local heating during welding causes severe thermal gradients welding in the welded structure and the uneven cooling that follows produces residual stresses and distortion. The aim of this paper is predicting the presence of residual stresses using acoustic emission (AE) technique. Series of laboratory bending tests are carried out on four welded T-section beams. Four different welding sequences have been applied to generate different values of residual stresses. The raw AE signal was analyzed in time and frequency domains. The results showed promising indications that the AE could be used as a screening technique for monitoring residual stresses presented in the welded structures. © 2015 Praise Worthy Prize S.r.l. - All rights reserved.

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