Abstracts of 3rd International Conference on Energy

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Feb 4, 2019 - roaim79@yahoo.com, 98eladawy@gmail.com. 3 National cancer .... Asmaa20058@hotmail.com, [email protected], a.sayed@h- ...... UK [email protected].uk. Ying He. De Montfort University. Leicester, UK.
IMAGE PROCESSING & COMPUTER VISION Track

2019 International Conference on Innovative Trends in Computer Engineering February 2nd – 4th, 2019 Aswan, Egypt

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2019 International Conference on Innovative Trends in Computer Engineering February 2nd – 4th, 2019 Aswan, Egypt

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Accurate Vehicle Counting Approach Based on Deep Neural Networks Mohamed A. Abdelwahab Faculty of Energy Engineering Aswan University, Egypt [email protected] Abstract—Vehicle counting is considered one of the most important

applications in traffic control and management. To count vehicles, synchronous vehicle detection and tracking should be carried out. Recently, detection via deep neural networks (DNN) has achieved good performance. However, exploiting the DNN efficiently for vehicle counting is still challenging. In this paper, an efficient approach for vehicle counting employing DNN and KLT tracker is proposed. To decrease the time complexity, vehicles are detected via DNN every Nframes, N=15 for example. Trajectories are extracted by tracking corner points through the N-frames. Then an efficient algorithm is introduced to assign unique vehicle labels to their corresponding trajectories. The proposed results, performed on diverse vehicle videos, show that vehicles are accurately tracked and counted whatever they are detected one or more times by the DNN.

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2019 International Conference on Innovative Trends in Computer Engineering February 2nd – 4th, 2019 Aswan, Egypt

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Application of Fuzzy Logic on Astronomical Images Focus Measure Alaa Hamdy Faculty of Engineering, Helwan University Helwan, Egypt [email protected]

Farag Elnagahy National Research Institute of Astronomy and Geophysics Helwan, Egypt

Islam Helmy National Research Institute of Astronomy and Geophysics Helwan, Egypt

[email protected]

[email protected]

Abstract— Focus accuracy is an essential factor that affects the astronomical

observations quality. The accurate measure of celestial objects properties depends on focus. Automatic focusing is necessary for astronomical observations imaging systems. This paper presents a modified focus measure operator. It also proposes the use of fuzzy logic, to transform images, because of its tolerant of imprecise and incomplete data. The focus operators are applied into two sequences of star clusters observations. The experimental results show that the suggested measure overall score exceeds the previous operators.

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2019 International Conference on Innovative Trends in Computer Engineering February 2nd – 4th, 2019 Aswan, Egypt

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Breast Cancer Detection Using Polynomial Fitting Applied on Contrast Enhanced Spectral Mammography Shaimaa Mostafa1, 2, Roaa Mubarak2, and Mohamed El-Adawy2, Amr F. Ibrahim3, Mohamed M. Gomaa3, Rasha M. Kamal4 1

Institute of Engineering, Canadian International College (CIC), Egypt [email protected] 2

Faculty of Engineering, Helwan University, Egypt [email protected], [email protected]

3 National

cancer institute, Cairo University, Egypt

[email protected], [email protected] 4

Faculty of medicine, Cairo University, Egypt [email protected]

Abstract— This paper presents a polynomial fitting technique on pixels inside

the Region Of Interest (ROI) to obtain a new feature set that can be used to differentiate between normal and cancerous cases. In this paper few features have been used if it compared to other previous works that have been used many feature sets, and then used different techniques to reduce the dimensionality, which might complicate the system also require a great computational cost. These few features are used without any need to reduce the dimensionality then it is applied on two different classifiers, the K-nearest neighbor (KNN) and the artificial neural network (ANN). The proposed techniques have been applied on 50 real cases from ‘BAHEYA Foundation for Early Detection & Treatment of Breast Cancer’ with the help of physicians and radiologists in the hospital. The used images are Contrast Enhanced Spectral Mammograms (CESM) that has clearer and more contrast images than the conventional mammograms. Applying the proposed feature set on these CESM mammograms using the two different classifiers- the Knearest neighbor (KNN) and the artificial neural network (ANN) - give accuracies of 96% and 92% respectively.

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2019 International Conference on Innovative Trends in Computer Engineering February 2nd – 4th, 2019 Aswan, Egypt

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NumPyCNNAndroid: A Library for Straightforward Implementation of Convolutional Neural Networks for Android Devices Ahmed Fawzy Gad Information Technology Department Faculty of Computers and Information Menoufia University, Egypt [email protected]

Abstract— A new open source library called NumPyCNNAndroid is proposed that minimizes the overhead of building and running convolutional neural networks on Android devices. The library is written in Python 3. It uses Kivy for building the application interface and Numerical Python for building the network itself. The library supports the most common layers. Compared to the widely known deep learning libraries, NumPyCNNAndroid avoids the extra overhead of making the network suitable for running on mobile devices. The experimental results validate the correctness of the library implementation by comparing results from both the proposed library and TensorFlow based on mean absolute error.

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2019 International Conference on Innovative Trends in Computer Engineering February 2nd – 4th, 2019 Aswan, Egypt

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Single Image Super Resolution Based on Learning Features to Constrain Back Projection Yasser K. Badran*, Gouda I. Salama*, Tarek A. Mahmoud*, Aiman Mousa* and Adel E. Moussa** * Military Technical College, Egypt ** University of Calgary, Canada **Port-Said University, Egypt [email protected], [email protected], [email protected], [email protected] [email protected]

Abstract— Image super-resolution (SR) is an active research point due to its added value for many image processing applications. The classical SR aims to obtain a high resolution (HR) image using multiple low resolution (LR) images. Recently many research works are directed towards obtaining such HR image from a single LR image which is known as single image SR restoration. This paper presents a fast singleimage SR approach based on learning the functions that can transfer LR patch into HR features. Then, these features are used to reconstruct the HR image through a process called constrained back-projection. The experimental results show that the proposed approach is capable of providing a high quality super-resolution images.

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2019 International Conference on Innovative Trends in Computer Engineering February 2nd – 4th, 2019 Aswan, Egypt

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Characterization of The Sources of Degradation in Remote Sensing Satellite Images

Mohammed S. Hussein, Mohamed E. Hanafy, Tarek A. Mahmoud Military Technical College, Egypt

Abstract— Remote sensing images are formed by the acquisition of the electromagnetic energy reflected or emitted from an object under observation using an optical system. During this process the acquired data is lost due to several degradation effects including atmospheric turbulence, relative motion between observed object and sensor, and lenses out-of-focus, hence causing severe blurring in satellite digital images. This blurring effect can be mathematically modeled using point spread function in the image’s spatial domain, or equivalently using the optical transfer function in the image’s frequency domain. The degree of spreading blurring of the point object is a measure of the quality of an imaging system. The key result of this paper is investigating the main sources of image degradation and modeling their effects on the quality of images acquired by remote sensing satellite systems.

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2019 International Conference on Innovative Trends in Computer Engineering February 2nd – 4th, 2019 Aswan, Egypt

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Investigating Relationship Between Lateral TimeTo-Peak (TTP) Displacement Curves and Stiffness of Viscoelastic Agar-Gelatin Phantoms Hassan M. Ahmed1, 2*, Nancy M. Salem1, Ahmed F. Seddik1, Mohamed I. El-Adawy1 Helwan University, Cairo, Egypt University, Beni Suef, Egypt

2Nahda

Abstract—Shear wave speed is a metric for the tissue elastic properties

and its pathologic changes. This is due to the implicit relationship between the speed of the propagating shear wave within tissue and both its elastic properties and pathologic changes. Wave propagation is a result of a force applied transiently to the tissue model. In this paper, the relationship between lateral TTP displacement curves and stiffness of different Young’s moduli phantoms is investigated. Five different elastic moduli Finite Element Models (FEMs) are used; 5.2KPa, 9.8KPa, 23.9KPa, 44.2KPa and 67.3KPa. Agar-gelatin model is used as a general model for mimicking soft tissue. Displacements are tracked with respect to the simulation time to create the displacement magnitude profile for the central node for each phantom. Results have shown that the second highest peak happens after 0.05 seconds in case of low elastic moduli FEMs. This time stamp can be used as a yardstick to differentiate between low and high elastic moduli without considering estimating the shear wave speed for many lateral nodes.

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2019 International Conference on Innovative Trends in Computer Engineering February 2nd – 4th, 2019 Aswan, Egypt

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Effect of different spatial resolutions of multitemporal satellite images change detection application Abdelrahman Yehia 1, Hassan Elhifnawy 1, Mohammed Safy 2, 1

Military Technical College, Egyptian Academy for Engineering & Advanced Technology, Egypt

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Abstract— Remote sensing (RS) satellites may provide much information about the land cover at different resolutions that have been utilized in many military and civil purposes. Multi-temporal images Change detection (CD) is one of the RS applications. Images Coregistration is an important step before the change detection process, and although they are geo-referenced to each other they may not have the same spatial resolution. So, prior to the multi-temporal analysis, images should be similar in pixel size. Using optical sensors with different characteristics and resolutions to obtain the same geographical area may cause effects in change detection results. In this paper; Image difference pixel-based change detection technique is proposed, and the effect of the image pixel size on change detection is studied. Two Images of the same area are taken from two different sensors; Worldview2 and Quickbird2 images with “2”m and “2.4”m pixel size are used respectively. The change detection results show that; for “2” m pixel size, the change detection is 0.15 % With regard to “1” m, the change detection is 0.06 % With regard to “2.4” m, and 0.05 % with regard to “4” m pixel size. On the other hand, the change detection results show that, for “2.4” m pixel size, the change detection is 0.09 % With regard to “1” m and 0.015 % With regard to “4” m pixel size.

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2019 International Conference on Innovative Trends in Computer Engineering February 2nd – 4th, 2019 Aswan, Egypt

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Enhancement of Ultrasound Images Quality Using a New Matching Material Asmaa Mohamed1 , Ashraf A. Wahba1 ,Ahmed M. Sayed1,Marwa A. Haggag2 ,Mohamed I. El-Adawy1 1

Helwan University, Egypt

[email protected], [email protected], [email protected] , [email protected] 2

National cancer institute, Cairo University, Egypt [email protected]

Abstract—This paper proposes a specific material (linseed oil) to be used

as a matching layer between the ultrasound transducer and the soft tissue of the breast instead of the used traditional gel. The acoustic impedance of this gel is about 1.48 MRayl while that of the breast soft tissue is about 1.633 MRayl. This difference in the impedance between gel and breast causes a reflection of the ultrasound signal which degrades the quality of the resultant image. The acoustic impedance of the proposed oil is about 1.631 MRayl which is more suitable than the traditional gel. The proposed material is tested on 41 breast cases at the National Cancer Institute, Cairo University. A significant enhancement in image quality is achieved using this proposed material.

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2019 International Conference on Innovative Trends in Computer Engineering February 2nd – 4th, 2019 Aswan, Egypt

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An Effective Human Action Recognition System Based on Zernike Moment Features Saleh Aly1;2 and Asmaa sayed1 1

Aswan University, Egypt University, Saudi Arabia [email protected]

2Majmaah

Abstract—Recognizing human actions from video has attracted a lot of

attention from computer vision research community due to its many prospective applications. Feature extraction is a key step for achieving an efficient human recognition system. Among other feature extraction methods, complex Zernike moment (ZM) considered as one of the most simple and successful approach. Commonly, Zernike moments are employed for feature extraction using only magnitude value of the complex ZM. In this paper, we study the performance of combining various complex ZM parts such as: magnitude, real, imaginary and phase information to improve the recognition accuracy. The proposed methodology consists of five stages: motion energy image (MEI), Zernike moments (ZM), whitening transform, bag-of-features and support vector machine (SVM) algorithm. The proposed method achieve comparable results with other state-of-the-art methods using the publicly available Weizmann action recognition dataset.

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2019 International Conference on Innovative Trends in Computer Engineering February 2nd – 4th, 2019 Aswan, Egypt

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Ensemble of Multiple Classifiers for Automatic Multimodal Brain Tumor Segmentation Moumen T. El-Melegy, Khaled M. Abo El-Magd, Samia A. Ali, Khaled F. Hussain, Yousef B. Mahdy Assiut University, Egypt

[email protected] Abstract— Ensembles of classifiers can improve the performance of

individual classifiers on several classification tasks. In this paper, we investigate the employment of ensemble methods for improving the accuracy of multimodal brain tumor segmentation. Four different ensemble methods are evaluated: Adaboost, bagging, stacking, and voting, on MICCAI BRATS 2016 challenge's MRI dataset. Our experimental results confirm the performance improvement produced by the ensemble methods over those of 20 different individual classifiers. Majority voting based ensemble method performed the best among the four ensemble methods.

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2019 International Conference on Innovative Trends in Computer Engineering February 2nd – 4th, 2019 Aswan, Egypt

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Efficient Preprocessing Algorithm for Online Handwritten Arabic Stroke Mohamed AbdElNafea

Samia Heshmat

Aswan University, Egypt [email protected]

Aswan University, Egypt [email protected]

Abstract—Developing an online handwriting recognition system for

Arabic script used in pen-based devices plays an important role in making these devices available and usable for the Arabic society. This paper develops a preprocessing algorithm for strokes written in Arabic script to improve the strokes recognition process, since there are some troubles on distinguishing the written stroke from similar characters. The uniqueness of the recommended preprocessing algorithm is the dealing with every stroke in the character separately. The algorithm is comprised of five essential phases that will settle on the strokes prepared and make the strokes ready for the next phase in recognition. Before the preprocessing algorithm, a basic step called stroke capturing is done, where data points are collected along the path of an input device (stylus pen or mouse) same time those characters are drawn.

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2019 International Conference on Innovative Trends in Computer Engineering February 2nd – 4th, 2019 Aswan, Egypt

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Refining ROI Selection For Real-Time Remote Photoplethysmography Using Adaptive Skin Detection R. M. Fouad1,2, Osama A. Omer1,2, Abdul-Magid M. Ali1, Moustafa H. Aly2 2Arab

1Aswan University, Aswan, Egypt Academy for Science, Technology & Maritime Transport, Aswan, Egypt [email protected]; [email protected]

Abstract— Remote Photoplethysmography (rPPG) is a very promising technique for measuring the cardiovascular parameters. It is attracting a widespread interest due to its ability to acquire the heart rate (HR) using low-cost RGB cameras without any physical contact with the subject. This emerging method is based on extracting HR from the small periodic color variations in the skin accompanying heartbeats. Therefore, selecting a suitable Region of Interest (ROI) for the rPPG-based HR measuring is essential and challenging first step, and it has a direct impact on the accuracy and reliability of the overall algorithm. Non-skin areas have no contribution to the HR information; however, few researchers have addressed the issue of non-skin pixels included in the ROI. This paper focuses on refining the quality of the extracted cardiovascular wave by using skin segmentation for defining the ROI, which enable us to estimate the HR from skin pixels only. Using adaptive skin detection for ROI definition is investigated, then it is compared with respect to our previous real-time rPPG-based method, in which face detection only was used to define the ROI. Furthermore, we examine the effect of segmenting the face skin into three ROIs (forehead, left cheek and right cheek), then extracting the HR from these three ROIs by fusing their resultant HR signals. Finally, we compare our rPPG measurements with ground truth values obtained from a commercial pulse oximeter. The results derived from the experiments showed that using skin segmentation can significantly improve the accuracy of the rPPG method.

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2019 International Conference on Innovative Trends in Computer Engineering February 2nd – 4th, 2019 Aswan, Egypt

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2019 International Conference on Innovative Trends in Computer Engineering February 2nd – 4th, 2019 Aswan, Egypt

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COMPUTER NETWORKS & SECURITY Track

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2019 International Conference on Innovative Trends in Computer Engineering February 2nd – 4th, 2019 Aswan, Egypt

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2019 International Conference on Innovative Trends in Computer Engineering February 2nd – 4th, 2019 Aswan, Egypt

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Performance Evaluation of Medium Access Control Protocols for Cognitive Radio Ad Hoc Networks Shimaa Abdzaher 1, Mohamed Abdrabou 1, Ahmed Al-shami 2, and Imane Saroit 3 1Suez

University, Egypt Canal University, Egypt 3Cairo University, Egypt

2Suez

Abstract—Cognitive radio is a smart technology which can enhance the

wireless communications by using the opportunistic access of the spectrum. Cognitive Radio Ad Hoc Network is a promising wireless network which depends on this technology. In this paper, we evaluate the performance evaluation of two different medium Access control protocols scenarios; single radio-multi channels Cognitive medium Access Control Protocol and two radios -multi channels cognitive medium access control protocol using Network Simulator 2 (NS-2). This study investigates the impact of increasing the packet size on the performance metrics such as network throughput. Simulation results proves that single radio-multi channels cognitive medium access control protocol outperforms the two radios-multi channels cognitive medium access control protocol in all aspects of performance metrics with increasing the packet size.

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2019 International Conference on Innovative Trends in Computer Engineering February 2nd – 4th, 2019 Aswan, Egypt

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On Network Systems Design: Pushing the Performance Envelope via FPGA Prototyping Ahmed M. Abdelmoniem Assiut University, Egypt [email protected]

Yomna M. Abdelmoniem Assiut University, Egypt [email protected]. edu.eg

Brahim Bensaou Hong Kong University of Science and Technology Kowloon, Hong Kong [email protected]

Abstract— Performance studies of computer network systems traditionally relied on mathematical modelling. Then, to deal with the increasingly complex systems in a meaningful man-ner, simulation and emulation tools have been developed to circumvent the intractability or the oversimplification that comes with mathematical methods. However, such emulation methods still make many simplifying assumptions as they are incapable of capturing the real system in its totality. Recently, Field Programmable Gate Array (FPGA) based prototyping systems have become an affordable option for researchers as an easy and quick tool for network system prototyping. In this paper, we motivate system prototyping based research via FPGA in conducting research experiments as well as facilitating new system designs where some traditional software functions are offloaded to the FPGA. We present a new switch prototype and preliminary results from its deployment in a real testbed.

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2019 International Conference on Innovative Trends in Computer Engineering February 2nd – 4th, 2019 Aswan, Egypt

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An AES Double–Layer Based Message Security Scheme Wassim Alexan, Ahmed Hamza and Hana Medhat The German University in Cairo Egypt [email protected]

Abstract— Nowadays, the Achilles heel of any software system that deals with data communication and/or storage on a cloud is the security of information being handled. However, modern cryptographic methods were proven vulnerable to brute force and side channel attacks, and thus were dubbed insufficient to be used in a secure system. Security is effected by using the cryptographic methods in proactive contexts, one of which is the use of a cryptography/steganography hybrid multi–layer system. Cryptography would be responsible for the secrecy of data whereas steganography would be responsible for the secrecy of communication. In this work, we propose two possible hierarchies which are common in that they are both double–layered and that they employ AES–256 for the cryptographic layer. As for the steganographic layer, we propose using the least significant bit (LSB) embedding by means of color–plane cycling in bitmap images. The cycling follows a prime number sequence in one method and the Fibonacci sequence in the other. We compute the mean squared error (MSE) and the peak signal to noise ratio (PSNR) for both techniques for comparison and we show the superiority of the Fibonacci sequence. We also compare our results with the results reported in the literature for some of the most commonly used LSB steganographic methods in hybrid systems and show the superiority of our proposed message security scheme.

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2019 International Conference on Innovative Trends in Computer Engineering February 2nd – 4th, 2019 Aswan, Egypt

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Speedup for Cryptography on CUDA Heterogeneous Architecture Hassan Youness Minia University, Egypt [email protected]

Abstract— Cryptography is an indispensable tool for protecting information in computer systems The Advanced Encryption Standard (AES) is one of the cryptography algorithms, which a well-known symmetric key algorithm, that utilizes the same secret key to encrypt and decrypt a message. It defeats that constraint of the more modest enter measure of the Data Encryption Standard (DES) toward using a greater and variable-length way. Moreover, It also determines those moderate preparing speed for triple DES (3DES), also uses more level assets of resources, therefore, it is preferred as the encryption and decryption standard by the U.S. government. AES is now being used worldwide for encrypting advanced information, including financial, telecommunications, and legislature data. In this paper, the AES scheme is implemented on Graphics Processing Unit (GPU) by parallelizing each step in the encryption algorithm of the AES using Compute Unified Device Architecture (CUDA). This allows enhancing the performance of the encryption algorithm execution to achieve a speedup factor of 61.36x on the multicore heterogeneous system.

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2019 International Conference on Innovative Trends in Computer Engineering February 2nd – 4th, 2019 Aswan, Egypt

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Performance Evaluation of Backhaul Network in Cloud Radio Access Networks Nada Ehab, Youmna Atef, Maggie Mashaly German University in Cairo, Egypt

Abstract—As network operators thrive to increase the speed and capacity of their mobile communication networks to cope with the rapidly increasing rate in mobile data, new revolutionary techniques have become a must to achieve these goals without increasing their power consumption. One of the solutions is to integrate the Cloud Computing paradigm into the current Radio Access Networks to make use of its numerous advantages and especially pooled resources. The main concept behind Cloud Radio Access Network is pooling the baseband processing units at a centralized location through decoupling the baseband processing units from the remote radio heads. This paper targets evaluating the performance gain achieved from C-RAN architecture by implementing an OMNET++ simulation model for the C-RAN and the traditional RAN. Four aspects were evaluated in our study: power consumption, delay, number of processing units and throughput. The results obtained shows that at intermediate traffic loads the C-RAN provides lower power consumptions rates and reduction in the number of required processing units.

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2019 International Conference on Innovative Trends in Computer Engineering February 2nd – 4th, 2019 Aswan, Egypt

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Improving the Performance of the Snort Intrusion Detection Using Clonal Selection Hussein M. Elshafie Minia University, Egypt [email protected]

Tarek M. Mahmoud Minia University, Egypt [email protected]

Abdelmgeid A. Ali Minia University, Egypt [email protected]

Abstract—Network intrusion detection system (NIDS) monitors network traffic to detect an unauthorized activity in computer networks. The NIDS is classified according to detection technique into signature and anomaly based. Each of them has its own advantage and disadvantage. The signature-based is more effective in detecting known attacks but it is unable to detect new attacks. The anomaly-based is better in detecting new attacks but it may produce many false alarms. NIDS which use both of them try to exploit the strengths of them. In this paper we propose an improvement of the well known Snort NIDS using clonal selection algorithm (CSA). The proposed approach is evaluated using the 1999 DARPA Intrusion Detection Evaluation Data Sets of MIT (Massachusetts Institute of Technology) as a testbed. The conducted experiments compare the recall, precision, and F-score of Snort NIDS on its own, Snort NIDS improved by negative selection algorithm (NSA), and the proposed approach. The obtained results show that the proposed approach is more powerful than the others.

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2019 International Conference on Innovative Trends in Computer Engineering February 2nd – 4th, 2019 Aswan, Egypt

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Effect of Application Types on the Performance of WiFi Networks Ahmed M. Mohamed Aswan University Egypt [email protected]

Adel Agamy Aswan University Egypt [email protected]

Abstract— The explosive increase in the use of smartphones and digital devices lead to an increase in the deployment of WiFi access points (IEEE802.11 standard) in private and public environments. This increase poses great challenges for Wireless Local Area Networks (WLANs) design and implementation. The major part of the traffic in these networks is generated by video streaming and audio applications. Dealing with heterogeneous traffic has become a major challenge for WiFi networks due to the emerging applications. Modeling the traffic generated by each device is essential for correctly evaluating the performance of WiFi networks. This paper presents an analytical performance model for WiFi networks that takes into account the effect of the different application types. We used the N-Burst/M/l queuing model to estimate the average packet delay and the buffer overflow probability for wireless networks. The ON/OFF traffic model is used to model the heterogeneous traffic of the network applications. We use the performance model presented in this paper to evaluate the effect of application type on the performance of WiFi networks.

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2019 International Conference on Innovative Trends in Computer Engineering February 2nd – 4th, 2019 Aswan, Egypt

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Secure Message Embedding in 3D Images Salma Elsherif, Ghadir Mostafa, Sara Farrag and Wassim Alexan The German University in Cairo [email protected] {ghader.mahmoud;sarah.farrag}@guc.edu.eg [email protected]

Abstract—Due to the evolution in digital communications, sending a sheltered message, where interferers are prying for any useful piece of information, has become a rigid mission. In this paper, a multiple layer message security scheme is proposed, utilizing 3D images. The proposed scheme is robust against any means of eavesdropping or intruding as it is comprised of four layers of security as follows: encryption using AES–128, encoding using a repetition code, least significant bit (LSB) steganography and jamming through the addition of noise. The proposed scheme is compared with its counterparts from the literature and is shown to exhibit excellent traits, in terms of being reversible and its ability to carry out blind extraction of the data as well as withstanding geometrical attacks. Furthermore, the proposed scheme exhibits very good performance in terms of the mean squared error (MSE) and the peak signal to noise ratios (PSNR).

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2019 International Conference on Innovative Trends in Computer Engineering February 2nd – 4th, 2019 Aswan, Egypt

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COMPUTING & INFORMATION TECHNOLOGIES Track

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2019 International Conference on Innovative Trends in Computer Engineering February 2nd – 4th, 2019 Aswan, Egypt

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2019 International Conference on Innovative Trends in Computer Engineering February 2nd – 4th, 2019 Aswan, Egypt

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MQL: Mixed Query Language for Querying MySQL and HBase Databases Khaleel Mershad Arts, Sciences & Technology University (AUL) Beirut, Lebanon [email protected] Abstract— During the last twenty years, the amount of stored digital data has witnessed an enormous growth. This data is usually divided by the scientific community into structured and unstructured data. Although unstructured data is becoming a significant part of big data, there are still a large number of data generators that save their data into traditional structured databases. With the advantages that exist in adopting nonstructural database systems to save various kinds of data, many companies and institutions are shifting into acquiring and utilizing a professional non-structural DBMS. These organizations find themselves obliged to translate and convert their old structured data into new formats and forms, in order to make a copy of this data in the new system. In order to avoid the consequences of such costly operations, we present the basics of a query language that allows a database user to query structural and non-structural databases at the same time using a single query. Our proposed language allows a database user to view the two databases (structured and non-structured) as a single DB on which a single query is executed. We present a testing of our system by using MySQL and HBase as the structured and non-structured databases.

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2019 International Conference on Innovative Trends in Computer Engineering February 2nd – 4th, 2019 Aswan, Egypt

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Is GPUs Ready to Boost Genomic Alignment Computation Fuhank Buntara1, Bu-Sung Lee1, Rikky Wenang Purbojati2, Chan Xian Zhou, Eugene1 1

School of Computer Science and Engineering, 2 Singapore Centre on Enviromental Life Science Engineering Nanyang Technological University Singapore [email protected], [email protected], [email protected], [email protected]

Abstract—This paper presents a comparative study of CPU and GPU performance in sequence alignments for the Next Generation Sequencing (NGS), specifically in the context of short reads mapping to a reference genome. Bowtie2 and BWA which runs on CPU only and its equivalent, NvBowtie and BarraCUDA which runs on both CPU and GPU, is chosen as the genomic tools benchmark for this studies. The CPUs selected for our study is Intel Xeon Processor E5-2695v2(x2) and Intel Xeon Processor E5-2699 v4(x2). The GPUs that we have selected for our study are the NVIDIA Tesla K80, Pascal 100 (P100) and Volta 100 (V100). Our results show that GPUs performs better than CPUs for long read’s length and large number of reads. However, taking the price/performance ratio into account, the results suggests a case of diminishing return for the newer generation of NVIDIA GPU.

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2019 International Conference on Innovative Trends in Computer Engineering February 2nd – 4th, 2019 Aswan, Egypt

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Grammatical Facial Expression Recognition Basing on a Hybrid of Fuzzy Rough Ant Colony Optimization and Nearest Neighbor Classifier Mona Gamal Gafar Kafrelsheikh University, Egypt [email protected] Abstract—Humans use facial expressions in many contexts to communicate their ideas or weigh their emotions. Deaf people depend on these expressions mainly in daily communications. They use the facial expressions to add the grammatical meaning for sentences of similar words. Therefore, developing smart systems to recognize facial expressions becomes a necessity. The main obstacle comes from the uncertainty and ambiguity of grammatical facial decisions. Hence, fuzzy and fuzzy rough artificial intelligent algorithms formulate feasible solutions to make decisions in such situations. This paper presents a hybrid of fuzzy rough feature selection inspired by ANT Colony Optimization (FRFS-ACO) and fuzzy rough nearest neighbor (FRNN) classification algorithms to decide about different facial expressions. The proposed hybrid is compared to other artificial algorithms and hybrids to judge its accuracy and efficiency. The experiments are accomplished using a standard grammatical facial expressions data set with nine different emotions recorded by Microsoft Kinect sensor and kept on the UCI machine learning repository. The experiments and comparisons clarified that the proposed hybrid provide feasible average accuracy level of 93.7% and dramatically reduced the required classification time.

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2019 International Conference on Innovative Trends in Computer Engineering February 2nd – 4th, 2019 Aswan, Egypt

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Genetic Algorithms for Discovering Community Cores Hidden within Multidimensional Social Networks Moustafa Mahmoud Ahmed

Yaser Maher Wazery

Minia University, Egypt [email protected]

Minia University, Egypt [email protected]

Abstract—Multidimensionality in social networks is a significant problem that appeared owing to the fact that most social networking sites such as YouTube, Twitter, and Facebook enable people to interact with each other through various social activities, which reflects various types of relationships between them. Each type of these relationships is represented by a network dimension. In resent years, discovering community cores hidden within multidimensional social networks has become essential in social network analysis field. When dealing with this type of networks, the definition of community detection problem changes to be, the discovery of the shared community cores across all network dimensions. Many studies presented on the topic of community detection, but communities uncovering in multidimensional networks has not deeply investigated yet. In this paper algorithms to solve community detection problem are proposed as a single-objective and as a multiobjective optimization problem by applying genetic algorithms. The most popular objective functions proposed over the past years are used. The performance, the limitation of each objective, and how those objectives correlate with each other has been clarified. Experiments in synthetic and real world networks showed the ability of the proposed algorithms to correctly discover community structures that maximize modularity across all network dimensions, compared with others on the literature. The proposed algorithms have the advantages that it doesn’t need any prior knowledge about number of the hidden community cores.

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2019 International Conference on Innovative Trends in Computer Engineering February 2nd – 4th, 2019 Aswan, Egypt

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Recommender Systems Challenges and Solutions Survey Marwa H. Mohamed

Mohamed H. Khafagy

Mohamed H. Ibrahim

Fayoum University, Egypt [email protected]

Fayoum University, Egypt

Fayoum University, Egypt

[email protected]

[email protected]

Abstract—Today's Recommender system is a relatively new area of research in machine learning. The recommender system's main idea is to build relationship between the products, users and make the decision to select the most appropriate product to a specific user. There are four main ways that recommender systems produce a list of recommendations for a user – content-based, Collaborative, Demographic and hybrid filtering. In contentbased filtering the model uses specifications of an item in order to recommend additional items with similar properties. Collaborative filtering uses past behavior of the user like items that a user previously viewed or purchased, In summation to any ratings the user gave those items rate and similar conclusions made by other user's items list. To predicts items that the user may find interesting. Demographic filtering is view user profile data like age category, gender, education and living area to find similarities with other profiles to get a new recommender list. Hybrid filtering combines all three filtering techniques. This paper introduces survey about recommendation systems, techniques, challenges the face recommender systems and list some research papers solve these challenges.

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2019 International Conference on Innovative Trends in Computer Engineering February 2nd – 4th, 2019 Aswan, Egypt

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Automated Negotiation Framework Based on Intelligent Agents for Cloud Computing

D.M. El-Matary N. E. El-Attar

Industrial Technical Institute Technical college, Egypt [email protected]

Delta University, International, Egypt. [email protected]

W. A. Awad

I.M.Hanafy

Port-said University, Egypt [email protected]. eg

Port-said University, Egypt [email protected]

Abstract—Cloud Computing is, by nature, multi-tenant, complex, large-

scale, and heterogeneous distributed systems. Thus respectively, its processes and strategies need to be automated and integrated. one of the essential processes in the Cloud computing system is negotiating the service level agreement which always has to be elastic and flexible in handling and translating the user services' requirements. This paper aims at presenting an automated SLA negotiation framework based on autonomous and flexible agents and multi agent systems based on the autonomic computing features as suitable tools for self-detection of failures and self-monitoring for the Cloud operations and services.

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2019 International Conference on Innovative Trends in Computer Engineering February 2nd – 4th, 2019 Aswan, Egypt

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A Cloud-based Model for Medical Diagnosis using Fuzzy Logic Concepts Hosam F. El-Sofany King Khalid University, Abha, KSA Cairo Higher Institute for Engineering, Computer Science and Management, Egypt [email protected]

Islam A.T.F. Taj-Eddin Faculty of Computer and Information, Assiut University, Egypt [email protected]

Abstract—Some Countries like Egypt and Kingdom of Saudi Arabia (KSA) are facing health care challenges during the development and improving of the health sector. Recent technologies such as Cloud Computing can play an important role and enable new types of healthcare systems including medical diagnostic service to patients. The main services models for cloud computing includes: software, platform and infrastructure (as a service), to satisfy the needs of different kinds of organizations. By using cloud computing concepts, we will open some important area that is likely to have positive implications for cloud-based health care applications. From cloud computing point of view, we introduce a proposed application as HeathCare-as-a-Service (HC-AAS) model. The identification of system inputs, outputs, and rules are controlled by fuzzy logic operations. In this paper we propose a fuzzy model that will be used for developing a cloud-based health application for medical diagnostic. In addition to maintain the health record of patients, the proposed model will also use the diseases and their symptoms. Our main goal is to introduce a novel approach to develop medical diagnostic model that can help to improve the quality of healthcare in Egypt and KSA.

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2019 International Conference on Innovative Trends in Computer Engineering February 2nd – 4th, 2019 Aswan, Egypt

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H-Ahead Multivariate microclimate Forecasting System Based on Deep Learning Esraa Elhariri

Shereen A. Taie

Fayoum University, Egypt [email protected]

Fayoum University, Egypt [email protected]

Abstract—Monitoring indoor environmental quality is an es-sential aspect for resident comfort and preserving the indoor ma-terials quality. Environmental quality affected by large continu-ous fluctuations in a lot of environmental variables. Reducing and optimizing the effect of this fluctuations needs to operate Heating, ventilation, and air conditioning (HVAC) system continuously resulting in large energy consumption. This paper aims to predict a well defined future plan that operates HVAC system, taking into consideration optimizing energy consumption. The key advantage of this plan is its dependency on h-ahead multivariate time series prediction using deep learning to predict the air quality of near future. Experimental results showed that Gated Recurrent Unit (GRU) model using the indoor microclimate parameters (Temperature, humidity, and CO2) has the best accuracy for the prediction the three parameters with average Root Mean Square error of 4.0474125 for all parameters.

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2019 International Conference on Innovative Trends in Computer Engineering February 2nd – 4th, 2019 Aswan, Egypt

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A Fog-based IoT Platform for Smart Buildings

Ghada Alsuhli, Ahmed Khattab Cairo University, Egypt [email protected], [email protected]

Abstract—In this paper, we propose an Internet of Things (IoT) layered architecture that supports heating, ventilation and air-conditioning (HVAC), lighting and security systems in a building, depending on continuous environmental parameters monitoring and efficient occupancy detection. The proposed architecture is composed of five layers: end devices, network connectivity, fog processing, cloud processing and security and privacy layers. This architecture is used to build a prototype of an office ambience monitoring and control system. In the developed prototype, the information about the indoor ambience is collected in real-time in the end devices layer and sent using the network connectivity layer to the fog. This information is aggregated and preprocessed in the fog before being passed to the cloud where it is finally stored and analyzed. According to the analysis results, proper decisions are made and sent back to the related actuators to set the office ambience accordingly or to fire an alarm. Actuators remote control and system configuration are also provided through a web-based interface. The developed system prototype is deployed and tested to prove that the system satisfies its intended purposes.

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2019 International Conference on Innovative Trends in Computer Engineering February 2nd – 4th, 2019 Aswan, Egypt

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Context-Aware Recommender System Frameworks, Techniques, and Applications: A Survey

Hamdy Fadl Abdulkarem

Ghada Y. Abozaid

Mostafa I. Soliman

Aswan University, Egypt

Aswan University, Egypt

Aswan University, Egypt

[email protected]

[email protected]

[email protected]

Abstract—Tailored services or information for mobile users became very

crucial; due to the enormous amount of information and services that are available for mobile users during their various activities. Recommendation system can be merged with context awareness to provide tailored services, information, moreover learning resources for users, based on their current context and profile. Context Aware Recommendation Systems (CARSs) have various usages also many applications and services depend on it, CARSs nowadays become widely used in various domains. This paper presents a survey of CARSs overview, frameworks, techniques, algorithms, and applications. Moreover, the paper discusses the issues of CARSs in general and investigates the proposed solutions.

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2019 International Conference on Innovative Trends in Computer Engineering February 2nd – 4th, 2019 Aswan, Egypt

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Evaluation of Scheduling Techniques in Cloud Data Centers: Simulation and Experimentation Maggie Mashaly

Paul J. Kuehn

German University in Cairo Cairo, Egypt [email protected]

University of Stuttgart Stuttgart, Germany [email protected]

Abstract—Cloud Computing technology is becoming a challenging technology requirement for many enterprises and individuals nowadays. Due to its numerous advantages offered to its clients such as elasticity, scalability and cost-effectiveness the cloud computing industry has grown much since it emerged and is foreseen to continue this growth through the coming years. This growth requires cloud providers to expand the size and number of their data centers to accommodate the needs of their users. As the number of data centers increases, efficient scheduling algorithms are required in order to manage the scheduling of arrivals to a data center where it can be served optimally. This paper discusses two proposed scheduling algorithms for two distributed cloud data centers, one for cases of real-time requests with bounded delays and another for data centers having diverse geographical locations. An OMNeT++ simulation model is introduced as well as a test-bed implementation in order to test the proposed algorithms and their effectiveness under general assumptions and more realistic conditions.

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2019 International Conference on Innovative Trends in Computer Engineering February 2nd – 4th, 2019 Aswan, Egypt

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A Novel Algorithm for Course Learning Object Recommendation Based on Student Learning Styles Shaimaa M. Nafea Arab Academy for Science Technology and Maritime, Egypt [email protected]. uk

Francois Siewe De Montfort University Leicester, UK [email protected]

Ying He De Montfort University Leicester, UK [email protected]

Abstract—Explosive growth of e-learning in the recent years has faced difficulty of locating appropriate learning resources to match the students learning styles. Recommender system is a promising technology in e-learning environments to present personalised offers and convey appropriate learning objects that match student inclinations. This paper, proposes a novel and effective recommender algorithm that recommends personalised learning objects based on the student learning styles. Various similarity metrics are considered in an experimental study to investigate the best similarity metrics to use in a recommender system for learning objects. The approach is based on the Felder and Silverman learning style model which is used to represent both the student learning styles and the learning object profiles. It was found that the K-means clustering algorithm, the cosine similarity metrics and the Pearson correlation coefficient are effective tools for implementing learning object recommender systems. The accuracy of the recommendations are measured using traditional evaluation metrics, namely the Mean Absolute Error and the Root Mean Squared Error.

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2019 International Conference on Innovative Trends in Computer Engineering February 2nd – 4th, 2019 Aswan, Egypt

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Matching Tumour Candidate Points in Multiple Mammographic Views for Breast Cancer Detection Mohamed Abdel-Nasser 1,2, Antonio Moreno1, Mohamed A. Abdelwahab 2, Adel Saleh1, Saddam Abdulwahab1, Vivek K. Singh1 and Domenec Puig1 1 Rovira i Virgili University, 43007 Tarragona, Spain 2 Aswan University, Egypt Abstract—Matching candidate points from multiple mammo-graphic views corresponding to the same patient may lead to an improvement in the accuracy of Computer Aided Diagnosis systems and it can help the radiologists to detect breast cancer in early stages, leading to a reduction of the percentage of mortality. In this paper, we propose a matching approach in order to detect correspondences between some candidate points from multiple mammographic views. Initially, a Scale Invariant Feature Transform detector is used to determine some candidate points in the mammographic views, then a combination between texture features is proposed to check the abnormality of the local region that surrounds each candidate point. The candidate points can be matched by integrating the information given by the texture analysis, the distance from the nipple and the location of the candidate points relative to the nipple. Some experiments are presented to show the effectiveness of the proposed approach.

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2019 International Conference on Innovative Trends in Computer Engineering February 2nd – 4th, 2019 Aswan, Egypt

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The Study of Perpendicular Distance Approach Based on RSSI for Indoor Localization Ahmed Abdelraouf, Mohamed Ashour, Hany F Hammad, and Tallal Elshabrawy The German University in Cairo, Egypt {ahmed.abd-elraouf, mohamed.ashour, hany.hammad, tallal.el-shabrawy}@guc.edu.eg

Abstract—Over the last decade, indoor localization has been gaining increasing popularity in the research community. Since GPS offers high accuracy within the outdoor environment only, the vast proliferation of IoT-enabled devices within indoor environments can serve as an alternative to achieve GPS grade of accuracy for indoor positioning. IoTenabled devices have already been shown to assist in forming several indoor positioning algorithms via several techniques. The centroid algorithm (CL) could be considered as one of the most popularly used algorithms for indoor positioning. In this paper, we propose a perpendicular distance-based approach (PD) that relies on the received signal strength indicator (RSSI). The proposed algorithm is theoretically analyzed. The RSSI-PD algorithm is simulated and its accuracy is evaluated in comparison with the developed versions of CL such as Weighted Centroid Localization Algorithm (WCL) and WeightedCompensated Weighted Centroid Localization Algorithm (WC-WCL).

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2019 International Conference on Innovative Trends in Computer Engineering February 2nd – 4th, 2019 Aswan, Egypt

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ADVANCED CONTROL, AUTOMATION, & ROBOTICS Track

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2019 International Conference on Innovative Trends in Computer Engineering February 2nd – 4th, 2019 Aswan, Egypt

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2019 International Conference on Innovative Trends in Computer Engineering February 2nd – 4th, 2019 Aswan, Egypt

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LabVIEW-Based Interactive Remote Experimentation Implementation using NI myRIO Mohanad Odema

Ihab Adly

Hani A. Ghali

Centre for Emerging Learning Technologies (CELT) The British University in Egypt (BUE), Egypt

Centre for Emerging Learning Technologies (CELT) The British University in Egypt (BUE), Egypt

Centre for Emerging Learning Technologies (CELT) The British University in Egypt (BUE), Egypt

[email protected]

[email protected]

[email protected]

Abstract—This paper presents the design process of a case study for an online interactive experiment, which might also be used in the context of interactive teaching and learning. The presented case is considered as a step towards full laboratory automation. This represents a practical solution for distantly-located universities, where students’ availability in campus is limited. It also provides an attractive economic solution for universities with large number of students, where the availability of enough laboratory equipment represents a challenging financial problem. The proposed system is based on the use of NI myRIO programmed through LabVIEW software. The deployment of NI myRIO is justified due to the required high-speed data acquisition associated with the selected case study: eddy current magnetic brake. Advantages of using both NI myRIO and LabVIEW are: 1) use of standard industrial software, and 2) familiarity of students with the LabVIEW UI.

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2019 International Conference on Innovative Trends in Computer Engineering February 2nd – 4th, 2019 Aswan, Egypt

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Comparative Evaluation of PWM Techniques Used at Mega 328/p with PI Control for Inverter-Fed Induction Motor Emad H. El-Zohri

Mohamed A. Mosbah

Sohag University, Egypt [email protected]

Sohag University, Egypt [email protected]

Abstract—This paper presents three different PWM techniques used at

mega 328/p with PI controller employed for three-phase inverter-fed induction motor (IM). These PWM generation techniques are Sinusoidal based PWM (SPWM), Third Harmonic based PWM (THPWM), and Space Vector based PWM (SVPWM) with PI control of IM. These methods are modeled using MATLAB-Simulink software. Simulation results are compared with results of an experimental prototype to confirm validity of results. used at mega 328/p to generate PWM for gate drive IGBT switching, it is inexpensive. The results exposed that SVPWM gives 15% increase in essential output with improved value. settling time of desired speed better than different techniques and less rise time, so lesser total harmonic distortion (THD) compared to SPWM or THPWM, but the SVPWM with PI control to increase overshoot of speed and increase of torque more than PI control with SPWM and THPWM.

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2019 International Conference on Innovative Trends in Computer Engineering February 2nd – 4th, 2019 Aswan, Egypt

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High Performance Control of PMSM Drive System Implementation Based on DSP Real-Time Controller Y. M. Alsayed 1, A. Maamoun 2 and A. Shaltout 3 1,2 Electronics

Research Institute (ERI), Egypt University, Egypt [email protected] , [email protected] 3 Cairo

1

Abstract—This paper presents the high performance control of PMSM drive system implementation based on DSP real-time controller. The high performance drive is used in appli-cations that need to high precision accuracies such as CNC machines and servo applications. The proposed high performance PMSM drive system consists of PMSM, three-phase voltage-source inverter based on space-vector pulse-width modulation (SVPWM), field-oriented control scheme, intelligent fuzzy logic speed controller and PI current controllers. The PM servo motor is controlled to produce a constant torque through changing the voltage/frequency ratio. The three-phase inverter based SVPWM technique supplies the PMSM with a high voltage and low harmonics. The proposed drive system is based on indirect field-oriented control to decouple the torque and flux currents which mimic the behavior of the DC-machines. The advantages of Fuzzy Logic Controller (FLC) overcomes the slow response and tuning problems of the conventional PI speed controllers without any mathematical calculations. The Dspace Real-Time controller is used to solve the control programs. The different parts of the proposed drive system are designed and tested. The advantages of the proposed drive system are confirmed by the practical results.

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2019 International Conference on Innovative Trends in Computer Engineering February 2nd – 4th, 2019 Aswan, Egypt

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Metrological Characterization of A Textile Temperature Sensor Lorenzo Quartini, Andrea Zanobini, Riccardo Marchesi, Roberto Singuaroli, Lorenzo Signorini University of Florence, Italy [email protected] Abstract—This paper presents the study of a new generation textile temperature sensor, in two different heated ovens. The first chamber was used to evaluate temperature and the last one for the evaluation of both temperature and humidity. An acquisition system of LabVIEW and another one of Agilent were developed, involving even thermocouples and Pt100. The results show many metrological characteristics proving that the sensor is an RTD type.

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2019 International Conference on Innovative Trends in Computer Engineering February 2nd – 4th, 2019 Aswan, Egypt

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Comparative Analysis of using Single / ThreePhase Voltage-Source for SVPWM Three-Phase Inverter Feeding a PM Servo Motor Y. M. Alsayed 1, A. Maamoun 1 and A. Shaltout 2 1 Electronics Research Institute (ERI), Egypt 2Cairo University, Egypt [email protected] , [email protected] 1

Abstract—In this paper, a comparative analysis of using single-phase or three-phase voltage-sources for Space-Vector pulse-width modulation (SVPWM) three-phase inverter feeding a Permanent-Magnet (PM) servomotor is presented. In industrial applications, the three-phase voltage-source is commonly used and available. However, in sometimes the availability of three-phase voltage-source is not easy, permissions and facilities from service provider are required. These costs much money to make the three-phase voltage-source available. In small power applications, the single-phase voltage-source is sufficient to provide the required power and the three-phase voltage-source is not needed. The study compares the two cases from point of view of total harmonic contents of voltages and currents of the PM servomotor in each case. The results show that in case of using single-phase voltage-source, the total harmonic distortion of phase and line voltages is reduced by 42.689 %. The total harmonic distortion of load current is reduced by 45.32 % at half load and by 40.44 % at full load. Consequently, there is an improvement in the quality of the PM servomotor voltages and currents. The size of the harmonic filter is reduced and the drive system harmonic effect on the grid due to grid connection is reduced significantly.

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2019 International Conference on Innovative Trends in Computer Engineering February 2nd – 4th, 2019 Aswan, Egypt

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System Design and Implementation of Wall Climbing Robot for Wind Turbine Blade Inspection Anwar Sahbel and Ayman Abbas The British University in Egypt (BUE) Cairo, Egypt [email protected] [email protected]

Tariq Sattar London South Bank University (LSBU) London, UK [email protected]

Abstract— Wind Turbines (WT) became essential renewable energy sources as the WT farms contribution reached megawatts scale. However, wind turbine blades (WTB) are subjected to failure due to running in harsh environments such as ultraviolet (UV) radiation, ice, temperature variation, dirt, and salt. Consequently, a periodic inspection process is required. In this paper, the design and implementation of a scaled down prototype magnetic climbing robot is proposed that can be used for WT blade inspection. The robot is equipped with two arms that can be extended one meter long to come close to the blade for inspection. Each arm is equipped with a gripper that can hold an inspection tool of weight up to one kilogram.

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2019 International Conference on Innovative Trends in Computer Engineering February 2nd – 4th, 2019 Aswan, Egypt

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Efficiency Improvement and Saving Energy within Electro-Pneumatic System Using VFD (case study: production line) Esraa M. Abd Elsadek

Hamdy Ashour Professor

AIET, Egypt [email protected]

AAST, Egypt [email protected]

Ragy Ali Refaat

Mohamed Mostafa

Alexandria University, Egypt [email protected]

Alexandria University, Egypt [email protected]

Abstract— Electro-pneumatic systems are considered very important part in most of industrial application especially in production line. However these systems experiences loss in energy which consequently decrease the system efficiency. First step in energy saving is to choose the best components, then using suitable controller that has high response and reliability such as Programmable Logic Control (PLC). Also controlling mass flow that comes out from the compressor through motor performance variation. This control aims to reduce power consumption through the compressor. In this paper, a simple production line of filling water bottles is controlled by PLC. The system compressor is connected to Variable Frequency Driver (VFD). Pneumatic system is simulated in software called automation studio. VFD is simulated in MATLAB® Simulink and results are confirmed experimentally. Adding VFD improves the motor performance by increasing the torque and the speed while reducing the power consumption. VFD also can control the system productivity.

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2019 International Conference on Innovative Trends in Computer Engineering February 2nd – 4th, 2019 Aswan, Egypt

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Automatic Traffic Violation Recording and Reporting System to Limit Traffic Accidents Based on Vehicular Ad-hoc Networks (VANET) Samir A. Elsagheer Mohamed Qassim University, KSA Aswan University, Egypt. (Email: [email protected]; [email protected]) Abstract— The number of road accidents increases and causes many problems. Many people die and injured. In addition, that causes many economic, social and psychological problems that have negative impact to the development of the world. The main cause of the majority of these accidents is due to the violation of the traffic rules: driving with high speeds, crossing a red-light signal, not keeping sufficient distance with the front vehicle in the highways, driving in the wrong reverse direction, etc. As the number of roads and streets are very large and the total length of these roads is very long, there is no way to fully monitor all of them all the time by Traffic Patrol or camera systems. This paper proposes a system to automatically and autonomously detect and record the traffic violations without the help of the human being. We propose the development of a device (on-board unit) that will be placed inside the vehicle and be secured so that the vehicle’s driver cannot stop it. This on-board unit detects and records the major traffic violations committed by a vehicle in real time at any time in any place. In addition, we propose an automatic reporting system to send the committed traffic violations to the traffic authority systems.

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2019 International Conference on Innovative Trends in Computer Engineering February 2nd – 4th, 2019 Aswan, Egypt

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Crowd Modeling Based Auto Activated Barriers for Management of Pilgrims in Mataf Samir A. Elsagheer Mohamed Qassim University, KSA Aswan University, Egypt [email protected]; [email protected]

Mohammad Tanvir Parvez Qassim University, Qassim, KSA [email protected]

Abstract— Tens of millions of people visit every year the Grand Mosque in Makkah for Hajj and Umrah. Making Tawaf (circumambulating the Ka’ba) is an essential rite in Hajj and Umrah. During peak hours, crowd density in Mataf (the area around the Ka’ba) becomes extremely intense. Even when the crowd density in Mataf is less, kissing the Black Stone (a part of the ritual of making the Tawaf) is a daunting task. This is due to the lack of proper queueing of pilgrims wishing to touch and kiss the Black Stone. In this work, we propose a Finite State Machine (FSM) based model for simulating the crowd movement during Tawaf. The model can be implemented in real time crowd monitoring in Mataf. Based on the models outputs, a system for auto-activated barriers is proposed to arrange the pilgrims in queue who want to touch and kiss the Black Stone.

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2019 International Conference on Innovative Trends in Computer Engineering February 2nd – 4th, 2019 Aswan, Egypt

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2019 International Conference on Innovative Trends in Computer Engineering February 2nd – 4th, 2019 Aswan, Egypt

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COMMUNICATIONS & ELECTRONICS Track

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2019 International Conference on Innovative Trends in Computer Engineering February 2nd – 4th, 2019 Aswan, Egypt

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2019 International Conference on Innovative Trends in Computer Engineering February 2nd – 4th, 2019 Aswan, Egypt

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Compact Planer UWB Antenna for High Speed Communications Ahmed A. Ibrahim Electronic and communication Engineering Department. Minia university-El-Minia-Egypt [email protected] Abstract—UWB antenna with small size and asymmetric coplanar strip (ACS) - fed for a high speed communication application is presented. The radiator patches of the two designed antennas are chosen as elliptical and semi-elliptical structure. The partial and bending coplanar ground plan is designed to achieve the desired UWB features. The designed antennas have bandwidth from 3.2 GHz to more than 11.7 GHz. The proposed antenna has size of 28 × 11.5 mm2. The electromagnetic simulator CST microwave studio is used in the antenna simulation. The proposed antenna is fabricated and measured. The antenna radiation patterns have nearly omnidirectional radiation over the UWB range with suitable gain. The behavior of the proposed antenna makes it suitable for the UWB applications.

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2019 International Conference on Innovative Trends in Computer Engineering February 2nd – 4th, 2019 Aswan, Egypt

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WiFi Antenna Design and Modeling using Artificial Neural Networks Passant k. Abbassi

N. M. Badra

German University in Cairo, Egypt [email protected]

Ain Shams University Cairo, Egypt [email protected]

A. M. M.A. Allam

Ahmed El-Rafei

German University in Cairo, Egypt [email protected]

Ain Shams University Cairo, Egypt [email protected]

Abstract—Artificial neural networks (ANN) have gained popularity in microwave modeling, design and simulations. This article is devoted to designing efficient antenna to achieve high gain and optimal impedance matching in addition to employing ANN to model the microstrip antenna. The proposed elliptical patch antenna operates at 2.4 GHz used for wireless applications. The ANN is fed with data set derived by CST EM simulator to train and test the NN model. The feed-forward backpropagation ANN is used along with Levenberg-Marquart (LM) learning algorithm to model the antenna. Extensive analyses has been carried out to provide an efficient ANN model by the aid of statistical measures as mean square error (MSE), mean error and standard deviation error. Moreover, the proposed antenna is fabricated and measured. A high agreement between simulated and measured antenna return loss is illustrated.

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2019 International Conference on Innovative Trends in Computer Engineering February 2nd – 4th, 2019 Aswan, Egypt

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Tri-band Pass Filter Using Optimized Psi-shaped Resonators Shahenda Hatem1,3, Hesham A. Mohamed 2, Roaa Mubarak3, Korany R. Mahmoud 3,4 1

Institute of Engineering, Canadian International College (CIC), Egypt 2 Electronics Research Institute (ERI), Egypt. 3 Helwan University, Egypt 4 National Telecommunications Regulatory Authority, Ministry of Communication, and Information Technology, Egypt [email protected], [email protected], [email protected], [email protected]

Abstract—In this paper, a tri-band pass filter (BPF) at 0.75 GHz, 2.1 GHz, and 3.5 GHz is designed using a modified tri-mode Psi shape resonator whose parameters are optimized using particle swarm optimization algorithm (PSO). The Psi shape resonator input impedance has three resonance frequencies with two transmission zeroes which improve the isolation between passbands. A mathematical analysis is performed to calculate the center resonance frequencies of the proposed design for the tri-band pass filter (BPF). The implemented design is simulated, fabricated, and measured. All measured results are consistent with the analysis and the simulations.

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2019 International Conference on Innovative Trends in Computer Engineering February 2nd – 4th, 2019 Aswan, Egypt

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A QoS-based Power Optimization for D2D underlaying Macro-Small Cellular Networks with Imperfect Channel Estimation Engy Aly Maher German University in Cairo, Egypt [email protected]

Ahmed El-Mahdy German University in Cairo, Egypt [email protected]

Abstract— The Device-to-Device (D2D) communication un-derlaying cellular networks generates interference due to reusing the same resources of the conventional cellular network. Therefore, efficient interference management tech-niques are required to control the interference. In this paper, we address the problem of interference management for underlay D2D users in a two-tier heterogeneous macrosmall cell network assuming imperfect Channel State Information (CSI). The optimal power of D2D users that maximize the Signal to Interference and Noise (SINR) ratio is obtained in presence of imperfect CSI. The effect of channel estimation error on the performance of both D2D and cellular users is measured in terms of the achievable rate and the cumulative distribution function (CDF) of the SINR.

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2019 International Conference on Innovative Trends in Computer Engineering February 2nd – 4th, 2019 Aswan, Egypt

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RF Energy Harvesting Using Transparent Antenna for IoT Application Nermeen A. Eltresy 1,2, Dalia N. Elsheakh 2, Esmat A. Abdallah 2, Hadia M. Elhennawy1 1 2

Ain Shams University, Cairo, Egypt. Electronics Research Institute, Egypt. [email protected]

Abstract— This paper presents a broad band fully transparent antenna for radio frequency energy harvesting. This antenna is used for powering internet of things low power devices especially in the smart museums. The proposed antenna has a high transparency that reached to 90%. So that it can be fixed on museums glass windows, buildings or cars without any effect on the eye vision and decoration. Moreover, it is the first time to fabricate a fully transparent antenna in Egypt. So, the proposed antenna has simple structure just to master the fabrication technology. Glass is used as a substrate and the indium tin oxide is used as a transparent conductor. The proposed antenna has low cost material and fabrication technology. The same proposed antenna is printed on opaque FR4 substrate which is used for comparison. The chosen opaque substrate has thickness and dielectric constant close to the transparent glass substrate.

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2019 International Conference on Innovative Trends in Computer Engineering February 2nd – 4th, 2019 Aswan, Egypt

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Compact Broadband Rectenna for Harvesting RF Energy in WLAN and WiMAX Applications Osama M. A. Dardeer, Hala A. Elsadek, and Esmat A. Abdallah Electronics Research Institute (ERI), Egypt [email protected], [email protected], [email protected]

Abstract— This paper presents a compact broadband rectenna for harvesting RF energy in WLAN and WiMAX applications. A coplanar waveguide (CPW) rectangular monopole antenna loaded with double inverted-L strips is designed as the receiving antenna. By using an inverted-L open circuited stub as an input matching network, a compact rectifying circuit based on the voltage doubler principle is proposed, which has broadband performance. The receiving antenna and the rectifier are simulated using CST and ADS software packages, fabricated using photolithographic technique, and measured. The antenna is operating from 1.83—3.58 GHz (bandwidth of 1.75 GHz), and 5.4—6 GHz (bandwidth 600 MHz). These bands cover different wireless applications such as: GSM 1800, UMTS 2100, IEEE 802.11b&g WLAN systems, 3.5 GHz WiMAX system, and the IEEE 802.11a WLAN system. The antenna gain reaches 4.2 dBi at 5.8 GHz while the radiation efficiency is 99.6 %. The measured rectifier conversion efficiency reaches 29.72 % at 6 dBm input power while the measured total rectenna power conversion efficiency is 27.725 % at a frequency of 3.5 GHz.

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2019 International Conference on Innovative Trends in Computer Engineering February 2nd – 4th, 2019 Aswan, Egypt

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The Effect of Different Surface Grating Shapes on Thin Film Solar Cell Efficiency Khalil M. ElKhamisy1,*, S. El-Rabaie2, Salah S. Elagooz1, and Hamdy Abd Elhamid 3,** 1The

Higher Institute of Engineering, El-Shorouk Academy, Egypt 2Menoufia University, Egypt 3Zewail City of Science, Center of Nanoelectronics and Devices, Egypt *[email protected] **[email protected]

Abstract— In this work we studied the grating shape and their dimension effects on the optical, the electrical properties and therefore on the efficiency of thin film solar cell. This study was introduced using 3d numerical simulation results obtained from Multiphysics simulator. The semiconductor transport model is applied for solving the electrical properties, whereas the optical effect was applied to the PV by using electromagnetic module. The PV efficiency was improved by 1.73 % in case of using half circle grating compared to solar cell without grating. After study the effect of different types we extract the equivalent circuit of each thin film solar with one type of presented grating types.

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2019 International Conference on Innovative Trends in Computer Engineering February 2nd – 4th, 2019 Aswan, Egypt

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Compact Bandpass Filter Based on Split Ring Resonators Mohamed Hesham, Sameh O. Abdellatif The British University in Egypt, Egypt [email protected], [email protected]

Abstract— The advances in communication technology stands for the need of compact size, easy to fabricate microwave devices. Herein, we propose a robust, tunable, band-pass filter, operating in the X-band (9.1 GHz). Metamaterial based on split-ring resonators (SRRs) is suggested to implement the proposed filter. The proposed design showed an improvement of 84% and 58% in the insertion loss (0.348 dB) and reflection loss (23.8 dB) respectively with respect to previous publications. In addition, the filter provided an acceptable sharpness to be utilized in radar applications. A tunability in the resonance frequency can be easily reached by changing the SRRs gap where a frequency range between 8.62 GHz and 9.46 GHz can be tuned. A fabricated filter is demonstrated where the mismatching between simulation and experimental results is justified.

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2019 International Conference on Innovative Trends in Computer Engineering February 2nd – 4th, 2019 Aswan, Egypt

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Investigating antenna positioning, beam width and direction in indoor DAS systems to meet coverage Hadil Hesham German University in Cairo, Egypt [email protected]

Yasmine Ayman

Mohamed Ashour

German University in Cairo , Egypt yasmine.abdelall@student .guc.edu.eg

German University in Cairo, Egypt [email protected] u.eg

Abstract— In a wireless communication network, achieving the required signal strength with an efficient use of resources is a huge challenge especially in indoor environments. In an indoor environment, the number of deployed antennas, their location, and beam width affects the signal strength. Directional antennas are used to improve indoor planning in terms of signal strength and power leakage. The paper has two aims, first, to compare the Omnidirectional and directional antennas under certain performance metrics for a given number and position of Omni/Directional antenna. The aim is to analyze the importance of the type of antenna deployed versus the optimization of placement and number of the antenna. Secondly, this paper further focuses on finding an initial solution for the deployment of antennas location number and beam width in order to meet user’s indoor coverage requirements in DAS environment. A proposed algorithm based on the next best choice of antenna activation based on coverage forms an initial solution of the number and position of antennas in an indoor building. Results showed that the directivity might not always outperform the omnidirectional antennas, as the position and number of Omni antennas if chosen efficiently may be better. This highlights the idea that the optimization of the antenna location and number is more important than the type of antenna used.

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2019 International Conference on Innovative Trends in Computer Engineering February 2nd – 4th, 2019 Aswan, Egypt

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Cross-tier Interference Reduction in MIMO Heterogeneous Network with Imperfect CSI Engy Aly Maher

Ahmed El-Mahdy

German University in Cairo, Egypt [email protected]

German University in Cairo, Egypt [email protected]

Abstract— The spectrum insufficiency has become a major problem in wireless communication systems due to increas-ing the demand on broadband applications. Heterogeneous macro-small cell network, Device-to-device (D2D) communi-cations, and multiple-input multipleoutput (MIMO) systems all are promising technologies to improve the spectrum efficiency and the data rate in future cellular networks. In this paper, the problem of cross-tier interference reduction in MIMO in heterogeneous macro-small cell network enabling D2D communications is investigated in presence of imperfect Channel State Information (CSI). Underlaying D2D commu-nications, sharing the same resource of the cellular network, causes co-channel interference. Two precoding selection meth-ods are used in the D2D underlaying MIMO system. The first one aims to maximize the rate of the D2D user while the second one aims to reduce the cross-tier interference between the D2D and the cellular user. Simulations are performed to investigate the effect of imperfect CSI on the system performance using the two selection methods.

66

2019 International Conference on Innovative Trends in Computer Engineering February 2nd – 4th, 2019 Aswan, Egypt

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Clustering of Remote Radio Heads in C-RAN to minimize the number of Base-Band Units Hadil Hesham

Rana Hesham

Mohamed Ashour

German University in Cairo, Egypt

German University in Cairo, Egypt

German University in Cairo, Egypt

[email protected]

[email protected] c.edu.eg

[email protected] g

Abstract— Cloud Radio Access Networks (C-RAN) offer the means for adopting the coverage and the capacity according to the changing user densities and the associated change of required capacity. C-RAN decouples the provisioning of virtual Base Band Unit (BBU) from the physical transmission provided by the Remote Radio Head (RRH). This decoupling provides a similar decoupling between capacity and coverage. C-RAN allows the activation of the number of RRHs needed for coverage and the number of BBUs needed to satisfy the capacity need. The ability to connect multiple RRHs to the same BBU allows for enhancing coverage while achieving rate requirements using the least number of BBUs. The aim of this paper is to minimize the number of BBUs used to offer wireless coverage by providing techniques to split the coverage into the smallest number of RRH clusters. Each cluster is then connected to a single BBU. The paper investigates the use of three RRH clustering techniques in indoor 4G networks: a modified Kmeans based technique and two heuristic algorithms using numerical simulations. Results show that the K-means technique produced lower activated BBUs and the RRH clusters were tighter in space providing better user coverage per cluster.

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2019 International Conference on Innovative Trends in Computer Engineering February 2nd – 4th, 2019 Aswan, Egypt

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Remaining Energy Aware ML-CSMA/TDMA Hybrid MAC Protocol for LTE-M2M Wireless Network Ahmed Naguib1, Waleed Saad1,2, Mona Shokair1 1Menofia University, Egypt 2Shaqra University, Kingdom of Saudi Arabia [email protected], [email protected], [email protected].

Abstract— One of the major issues that faces the planning of M2M (Machine-to-Machine) networks is the energy consumption, due to battery driven nodes. MTC (Machine Type Communication) is the communication of machine nodes over wireless network to enable IoT (Internet of Things) technology. The expected tremendous usage of this technology during the next few years, will give rise to a massive number of machine nodes served by one base station. The need for a multiple access technique that manages the simultaneous communication between this huge number of nodes and the base station with an energy efficient manner is an urgent issue. In this paper, we design a scalable hybrid energy efficient MAC protocol based on ML-CSMA (Multi-Layer Carrier Sense Multiple Access) concept, which provides an enhancement in the energy consumption with less degradation in the system throughput. The proposed protocol increases the lifetime of the batterypowered nodes.

68

2019 International Conference on Innovative Trends in Computer Engineering February 2nd – 4th, 2019 Aswan, Egypt

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Design Of Area Efficient And Low Power 4-Bit Multiplier Based On Full- swing GDI technique Omnia Ali Albadry1, M. A. Mohamed El-Bendary2, Fathy Z. Amer3, Said M. Singy4 1

Sohag University, Egypt Helwan University, Egypt 3 Helwan University, Egypt 4 Banha University, Egypt 2

[email protected], [email protected], [email protected], [email protected]

Abstract— This paper presents a design of 4-bit multiplier using full adder cell based on full swing gate diffusion input technique. The proposed adder design consists of 18 transistors and compared with different logic styles for full adders through cadence virtuoso simulation based on TSMC 65nm models at a supply voltage of 1v and frequency 250MHz. The simulation results showed that the proposed full adder design dissipates low power while improving the area and provides full swing output voltage among all the designs taken for comparison. The proposed full adder used to design Array, Barun and Baugh Wooley multipliers, Energy and Transistor count of these multipliers improved compared to CMOS.

69

2019 International Conference on Innovative Trends in Computer Engineering February 2nd – 4th, 2019 Aswan, Egypt

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Performance of RF underwater communications operating at 433 MHz and 2.4 GHz Salma M. Maher, Ziad M. Ali, Haitham H. Mahmoud, Sameh O. Abdellatif, Mohammad M. Abdellatif The British University in Egypt, Egypt [email protected]

Abstract— The development of Underwater communications networks has become a hot topic in the research over the past few years. Many technologies are promising, however, they suffer from considerable latency, and larger attenuation with distance which degrades the overall network performance. This paper implements a low cost underwater communication network (UWCN) in order to investigate the effect of the operating frequency on the network performance during data transmission. The transmission of data is studied in three scenarios; Airto-Air, Air-to-Water, and Water-to-Water scenarios. Furthermore, the performance of the network with two operating frequencies is examined in terms of the end-to-end delay, throughput, and packet loss.

70

2019 International Conference on Innovative Trends in Computer Engineering February 2nd – 4th, 2019 Aswan, Egypt

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A Comparative Study of Relaying Networks: An Outage Probability Approach Wassim Alexan1 and Rowan Zaki1, and Saleh Megahed2 1

The German University in Cairo, Egypt Huawei Technologies Co., Ltd., Egypt

2

[email protected], rowan [email protected] [email protected]

Abstract— Wireless relaying networks have at-tracted much attention in recent years due to their many advantages in terms of spatial diversity, increased coverage and better data rates. More specifically, wireless relaying networks employing the log–likelihood ratio (LLR) as the criterion of activation/deactivation of a relay node in a mul-tiple–node system have been applauded for their simplicity and high efficiency. Most of such research works focused on evaluating the performance of these networks by utilizing the BER as the prime performance metric. In this paper, we carry out a performance comparison of two relaying networks, by deriving closed–form expressions for their prob-ability of outage.

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2019 International Conference on Innovative Trends in Computer Engineering February 2nd – 4th, 2019 Aswan, Egypt

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Optimizing Gate-on-Source Overlapped TFET Device Parameters by Changing Gate Differential Work Function and Overlap Dielectric Muhammad Elgamal and Mostafa Fedawy Arab Academy for Science, Technology and Maritime Transport, Egypt [email protected], [email protected]

Abstract— In this paper, we demonstrate, by using 2-D simulations, that with varying the gate-source overlap dielectric material and differential work function we can boost the maximum cutoff frequency, on/off ratio and the subthreshold swing of DGTFET. We show also that when the main gate dielectric is hafnium dioxide, the best matching source overlap material is silicon dioxide to achieve better performance. The effect of differential work function on all main device parameters is investigated at several source-overlap lengths and at several main gate work functions. For sake of ease of choice of best device performance, we use a relative figure-of-merit for each of the simulated devices and then target the optimization of this figure-of-merit. This approach facilitated the choice of optimum device in a large dataset as we encountered.

72

2019 International Conference on Innovative Trends in Computer Engineering February 2nd – 4th, 2019 Aswan, Egypt

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Improvement Of All Digital Interferometer Fiber Optic Gyroscope (IFOG) Accuracy Using True-Log Amplifier Ahmed El Ghrabawy 1,2,a, Mostafa Fedawy1,b, Mohamed S. ElMahallawy1,c 1 Arab Academy for Science, Technology, and Maritime Transport, Egypt 2

Higher Technological Institute, Egypt

[email protected], [email protected], [email protected]

Abstract— Because of its high performance fiber optic gyroscopes demand growing up very fast. Most of applications require high precision at ultra-low rotation rates which makes it complicated and costly. The use of high resolution analog to digital converters (ADC) can solve this problem but with high implementation complexity and cost. In this paper we introduce a new and a simple processing unit to improve All Digital IFOG accuracy by replacing ordinary transimpedance amplifier (TIA) with True-log amplifier (TLA). Our results show that ADC bits can reduced by 30% and have the same output accuracy.

73

2019 International Conference on Innovative Trends in Computer Engineering February 2nd – 4th, 2019 Aswan, Egypt

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Loose Animal-Vehicle Accidents Mitigation: Vision and Challenges

Waleed Saad and Abdulaziz Alsayyari Shaqra University, Saudi Arabia.

Abstract— Undoubtedly, utilizing smart detection systems of loose animals crossing highways has become a necessity to reduce the reportedly high number of animal-vehicle accidents worldwide, where some of such accidents are fatal in their nature. In the Kingdom of Saudi Arabia, for example, loose camels are the main cause of animal-vehicle accidents, which commonly cause deaths and injuries with lifelong consequences. Loose animals vary from one country to another. For instance, animal-vehicle accidents often involve deer and moose in the USA and cows and elephants in India. Mostly, such accidents occur at nights and in foggy and dusty weathers. Therefore, the mitigation of such phenomenon has become a hot research topic in recent years and as a result variety of detection systems have been proposed. In this paper, a survey of animal-vehicle approaches are presented and compared. Moreover, a number of popular proposed systems are investigated and a study of their advantages and disadvantages are presented. Finally, the challenges for designing a reliable animal detection system are summarized and a proposed model for animal-vehicle collision avoidance system for camels is presented.

74

2019 International Conference on Innovative Trends in Computer Engineering February 2nd – 4th, 2019 Aswan, Egypt

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Design of 6 GHz High Efficiency Long Range Wireless Power Transfer System Using Offset Reflectors fed by Conical Horns Mahmoud AbdelHafeez1, Khalil Yousef1,2, Mohamed AbdelRaheem1, and Elsayed Essam M. Khaled1 1

Assiut University, Egypt Shanghai Jiao Tong University, China [email protected]

2

Abstract— This paper presents a proposed design procedure of a Wireless Power Transfer (WPT) system based on high efficiency offset reflector antennas fed by conical horns. The system’s performance evaluation is also demonstrated. The antennas in the transmitter and receiver sides of the proposed WPT system are symmetric. The performance of the system is optimized by calibrating the feeding horns and the offset reflector’s dimensions to minimize the path and reflection losses of the proposed WPT system. The results show that correct line of sight alignment of the transmitter and receiver enhances the efficiency of the system. With an operating frequency of 6 GHz and 1 W of power transfer over a distance of 12 m between the transmitter and receiver, the system attains a total transfer efficiency of 62.9 %.

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2019 International Conference on Innovative Trends in Computer Engineering February 2nd – 4th, 2019 Aswan, Egypt

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2019 International Conference on Innovative Trends in Computer Engineering February 2nd – 4th, 2019 Aswan, Egypt

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COMPUTATIONAL METHODS IN POWER SYSTEMS Track

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2019 International Conference on Innovative Trends in Computer Engineering February 2nd – 4th, 2019 Aswan, Egypt

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2019 International Conference on Innovative Trends in Computer Engineering February 2nd – 4th, 2019 Aswan, Egypt

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Application of Multi-Verse Optimizer for Transmission Network Expansion Planning in Power Systems Abdullah M. Shaheen

Ragab A. El-Sehiemy

Suez University, Egypt [email protected]

Kafrelsheikh University, Egypt [email protected]

Abstract—Transmission Network Expansion Planning (TNEP) is an important issue in electrical power systems. It is a mixed integer, nonlinear, non-convex optimization problem which aims to optimal selection of the routs, types, and number of the added circuits to face the expected future predicted load forecasting at minimum costs. This paper proposes the application of Multi-Verse Optimizer (MVO) for solving the TNEP with security constraints. MVO has various merits of being simple structure, having adaptive control parameter, and operating with high ability to escape the local optima stagnation. The MVO has been developed and applied to solve the TNEP problem for two realistic transmission Egyptian networks of West Delta System (WDS) and 500 kV of Extra High Voltage System (EHVS). The predicted load forecasting up to 2030 is considered based on the adaptive neuro-fuzzy inference system (ANFIS). The simulation results for the two systems show the capability of the proposed MVO to solve efficiently the TNEP problem. The MVO superiority is proven to produce economic planning and secure transmission routes.

79

2019 International Conference on Innovative Trends in Computer Engineering February 2nd – 4th, 2019 Aswan, Egypt

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Optimal Allocation of Distributed Generations and Capacitor Using Multi-Objective Different Optimization Techniques Ayat Ali Saleh,

Al-Attar Ali Mohamed

A. M. Hemeida ,

Aswan University, Egypt

Aswan University, Egypt

Aswan University, Egypt

[email protected]

[email protected]

ashraf@ aswu.edu.eg

Abstract—In this paper, the performance of different optimization techniques namely, Moth Swarm Algorithm (MSA) and Whale Optimization Algorithm (WOA) are presented and compared for minimization of single and multi-objective namely, (total network power losses, and voltage deviation) in radial distribution systems by identify the Optimal Placement of Distributed Energy Resources (DER) together with capacitor (C). In this regard, multiple-DER units are analyzed under two load power factors (i.e., unity and optimal) with and without C. The proposed algorithms have been tested on the 33-bus radial distribution network. The performance of the different optimization algorithms has been compared with other evolutionary optimization technique under different system operating conditions. The simulation results observed the impact of integrating the proper size of DER at the suitable placement based on different techniques with and without C.

80

2019 International Conference on Innovative Trends in Computer Engineering February 2nd – 4th, 2019 Aswan, Egypt

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Mitigation of Electric Vehicles Charging Impacts on Distribution Network with Photovoltaic Generation Morsy Nour1,3, Abdelfatah Ali2,3, Csaba Farkas3 1

Aswan University, Egypt South Valley University, Egypt 3 Budapest University of Technology and Economics, Hungary 2

[email protected], [email protected], [email protected]

Abstract—There is continuous and fast increase in electric vehicles (EVs) sales recently. These EVs are charged from the electric power system, usually at distribution networks which presents a challenge to distribution networks. This paper presents a study for mitigating the impacts of uncontrolled EV charging on low voltage (LV) distribution network supplying commercial consumers. For this purpose, decentralized photovoltaic (PV) generation is used. This study takes into account the current status of the distribution networks where there is no communication infrastructure or advanced metering infrastructure (AMI) devices present in the grid, neither is there a control center. Therefore, there is no coordination between the EV charging and PV generation. The transformer loading, cable loading, voltage profile at the furthest point from the transformer and daily energy losses are investigated for three operation scenarios. The first scenario is the original state (base case) of the LV distribution network which supplies only commercial consumers, and neither EVs nor PV generation is connected to it. In the second scenario EVs are connected to the network for charging. In the third scenario EVs are connected to the network for charging and PV generation is available. The study is performed using DIgSILENT Power Factory software. 24-hour time series simulations are executed with a load flow every 15 minutes. The results demonstrate that the decentralized PV generation can alleviate the impacts of uncontrolled EV charging on commercial LV distribution network.

81

2019 International Conference on Innovative Trends in Computer Engineering February 2nd – 4th, 2019 Aswan, Egypt

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Optimal Placement of Distributed Energy Resources Including Different Load Models Using Different Optimization Techniques Al-Attar Ali Mohamed

Shimaa Mohamed Ali

Aswan University, Egypt

Aswan University, Egypt

[email protected]

[email protected]

A.M.Hemeida

Abdalla Ahmed Ibrahim

Aswan University, Egypt

Aswan University, Egypt

[email protected]

[email protected]

Abstract—This article introduces how to improve the real power losses and voltage deviation in distributed network system due to Distributed Energy Resources (DERs) allocation strategy by using Moth Swarm Algorithm (MSA) and Differential Evolution (DE) Algorithm. The proposed Optimization techniques are implemented on 33-bus and 69bus IEEE standard radial distribution test systems with constant, industrial, residential, and commercial loads. The evaluated results have been confirmed the superiority with high performance of the DE technique than MSA technique to find the best solutions of DERs units allocation for different load factors.

82

2019 International Conference on Innovative Trends in Computer Engineering February 2nd – 4th, 2019 Aswan, Egypt

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Modified Maximum Power Point Tracking Technique Based on One Cycle Control for PV Applications Khalid Awad

Omar Abdel-Rahim

Mohamed Orabi

Aswan University, Egypt

Aswan University, Egypt

Aswan University, Egypt

[email protected]

[email protected]

Abstract— This paper introduces two contributions. the first is the development of switched inductor quadratic boost converter (SIQBC) with a very high gain at low duty cycle for photovoltaic (PV) application which can reach experimentally above .A model for the SIQBC was enforced on the laboratory .The second contribution is that the development of an efficient and quick tracking maximum power point tracking (MPPT) strategy based on the one cycle control (OCC) .The planned algorithmic program attains the Maximum power point (MPP), once scanning and tracking the I–V curve during a comparatively short time, with little oscillation in steady state. the change in the radiation level causes the proposed MPPT to be resetting and repeating the tracking. even in the case of fast environmental conditions variation this algorithm can track the maximum power in a comparatively short time.

83

2019 International Conference on Innovative Trends in Computer Engineering February 2nd – 4th, 2019 Aswan, Egypt

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Impact of Optimum Allocation of Distributed Generations on Distribution Networks Based on Multi-Objective Different Optimization Techniques Ayat Ali Saleh

Al-Attar Ali Mohamed

A. M. Hemeida

Aswan University, Egypt

Aswan University, Egypt

Aswan University, Egypt

[email protected]

[email protected]

ashraf@ aswu.edu.eg

Abstract— A number of different optimization algorithms namely, Moth Swarm Algorithm (MSA), and Particle Swarm Optimization (PSO) algorithm are presented and compared in this paper. Different optimization techniques are used to determine the optimum allocation of distributed generation (DG) in radial distribution systems during reduction of single and multi-objective function namely, (total network power losses, voltage deviation, and total operating cost). The multi objective function is formed by using the weighted sum method. In this paper, multiple-DG units have been analyzed under two load power factors (i.e., unity and optimal). The proposed algorithms have been tested on the 33-bus radial distribution network. The performance of the different optimization algorithms has been compared with other evolutionary optimization technique under different system operating conditions. The simulation results observed the impact of integrating the proper size of DG at the suitable placement based on different techniques.

84

2019 International Conference on Innovative Trends in Computer Engineering February 2nd – 4th, 2019 Aswan, Egypt

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Modeling and Control of a Charge/Discharge Unit of Electric Power System for Low Earth Orbit Satellites Ahmed Adam Ibrahim

Sherif Helmy

Military Technical College, Egypt [email protected]

Military Technical College, Egypt [email protected]

Usama AbuZayed

Ramadan Moustafa

Military Technical College Cairo, Egypt [email protected]

Beni-Suef University, Egypt [email protected]

Abstract— The main role of batteries which used as a secondary power source in any spacecraft is to supply power to the satellite under the condition of shadow or the inability of solar-PV arrays to feed the satellite loads with power. In this paper, model and control of a charge/discharge unit (CDU) of the battery in low earth orbit satellites is developed. The proposed CDU control algorithm regulates the satellite bus voltage within the standardized levels. Furthermore, the CDU control is tested against various disturbances to verify the proper operation of the unit.

85

2019 International Conference on Innovative Trends in Computer Engineering February 2nd – 4th, 2019 Aswan, Egypt

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Voltage/Frequency Control of Isolated Unbalanced Radial Distribution System Fed from Intermittent Wind/PV Power Using Fuzzy Logic ControlledSMES Hossam S. Salama1,2, Mohamed M. Aly1 and I. Vokony2 1

2

Aswan University, Egypt Budapest University of Technology and Economics, Hungary [email protected], [email protected], [email protected]

Abstract— Nowadays, the world is directing to the renewable energy sources to generate electricity. However, these sources have Intermittent energy nature which leads to fluctuations in the voltage and frequency, so it became necessary to use controlled energy storage units. This paper addresses an isolated unbalanced three-phase radial distribution system fed from wind energy conversion system (WECS) of squirrel cage induction generator (SCIG) and photovoltaic (PV) power for energy injection. Superconducting magnetic energy storage (SMES) units have been used as energy storage system to mitigate the intermittent power generated from renewable energy sources. Fuzzy logic controller is used to control the charging/discharging of SMES. MATLAB/Simulink package is used to demonstrate the system, WECS, PV, and SMES. The simulated results illustrated the ability the fuzzy logic controlled-SMES to mitigate the intermittency of power generated from WECS/PV that helps to control the frequency and voltage of the studied system.

86

2019 International Conference on Innovative Trends in Computer Engineering February 2nd – 4th, 2019 Aswan, Egypt

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Recloser-fuse Coordination of Radial Distribution Systems with Different Technologies of Distributed Generation Mohamed M. Aly, Hammad Mahrous and Mahmoud M.A. Mahmoud Aswan University, Egypt [email protected], [email protected], [email protected]

Abstract— This paper discusses the effects of distribution generation (DG) on the recloser-fuse coordination of radial distribution systems. These effects are considered one of the disadvantages of connecting DGs with distribution systems and depend on the technology, location and size of DGs. Three different locations of DGs are studied: firstly, when the DG is located between the recloser and fuse, secondly, when the DG is located upstream of recloser and fuse, and thirdly, when the DG is located downstream of recloser and fuse. In every location the technology and size of the DG is varied and the penetration level at which the coordination is lost is recorded. The different studied technologies of the DGs are photovoltaic (PV), wind turbine of squirrel cage induction generator (Type 1) and wind turbine of synchronous generator (Type 4). The studied system is a radial distribution system consisting of 14 buses with main feeder and two laterals. All simulations are performed using ETAP 12.6.0 package. The results show that the recloser-fuse coordination may be lost as the size of DG increases, the worst location is when the DG is connected downstream to the recloser and fuse, and the worst DG technology is the Type 4 wind turbine.

87

2019 International Conference on Innovative Trends in Computer Engineering February 2nd – 4th, 2019 Aswan, Egypt

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Performance Assessment of a Realistic Egyptian Distribution Network Including PV Penetration with DSTATCOM Ashraf Ramadan

Mohamed Ebeed

Salah Kamel

King saud University, Saudi Arabia

Sohag University, Egypt

Aswan University, Egypt

ashraframadanragab@gmail. com

[email protected]

[email protected]

Abstract— This paper presents the influences of integrating Distributed Static Compensators (DSTATCOMs) and Photo voltaic (PV) units in the real distribution network (Tala City) at Menoufia˜Egypt. The investigation is carried out with and without DSTATCOMs at different penetration levels of PV which include 60%, 70%, 80%, and 90%. The optimal ratings and locations of the DSTATCOMs and the PV units were determined using the improved sine cosine algorism (ISCA). The ISCA is based on Levy flight distribution with adaptive operators to enhance the searching performance of the original SCA. The considered objective function includes the power losses minimization, voltage deviations minimization and voltage stability improvement. The obtained results can be concluded that inclusion of PV units can reduce the power losses and improve both of the voltage profile and stability of the system considerably with increasing the penetration levels. In addition, the performance of the studied system is significantly improved when it is connecting with both PV penetration and DSTATCOM compared with the case of PV penetration only. Moreover, the obtained results verified the effectiveness of the proposed optimization technique for assigning the allocations of the DSTATCOMs and PV units in terms of the objective function.

88

2019 International Conference on Innovative Trends in Computer Engineering February 2nd – 4th, 2019 Aswan, Egypt

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Smart Charging of Electric Vehicles According to Electricity Price Morsy Nour1,3, Sayed M. Said2,3, Abdelfatah Ali2,3, and Csaba Farkas3 1

Aswan University, Egypt

South Valley University, Egypt 3Budapest University of Technology and Economics, Hungary 2

[email protected], [email protected], [email protected], [email protected]

Abstract— The growing popularity of private vehicles’ electrification will have a negative impact on the electric power system, especially on the distribution networks, if electric vehicles (EVs) charging is not managed properly. In this paper, a new technique for smart charging of EVs is proposed and tested with simulation. A fuzzy logic controller is used to control and manage the EV charging process to maximize electric utility and EV owner benefits. The electric utility’s benefit is to mitigate the EV charging impacts on the distribution network by shifting EV charging to the off-peak period, while EV owners’ benefit is to charge the EV at low cost. The controller regulates and controls the EV charging power depending on electricity price signal provided by the electric utility and EV battery state of charge (SoC). This controller needs basic communication with the electric utility to receive the electricity price signal every 1 hour. The objective of the controller is to charge EVs at low cost while keeping the normal operating conditions of the distribution network. MATLAB/SIMULINK is used to perform simulations and test the effectiveness of the proposed smart charging method. The results demonstrated that the proposed smart charging method reduced the impacts of EVs charging on the distribution network compared with uncontrolled charging.

89

2019 International Conference on Innovative Trends in Computer Engineering February 2nd – 4th, 2019 Aswan, Egypt

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The Whale Optimization Algorithm Based Controller for PMSG wind Energy Generation System Aswan University, Egypt

Ahmed Lotfy Haridy Aswan University, Egypt

A.M.Hemeida Aswan University, Egypt

[email protected]

[email protected]

[email protected]

Al-Attar Ali Mohamed

Abstract— The direct drive permanent magnet synchronous generator (PMSG) have many advantages consequently, it ends up a standout amongst the most appealing variable speed wind generation types. This paper proposes a novel application of a Whale Optimization Algorithm (WOA) aims at finding the optimal parameters of the conventional Proportional-Integral (PI) controllers for the permanent magnet synchronous generator based wind energy conversion system (WECS). The Whale Optimization Algorithm (WOA) is applied to the classical PIcontroller on machine side converter system to find the optimal gains of the PMSG, to such an extent that a maximum power point tracking (MPPT) under normal condition, a step change of wind speed and the optimal dynamic performance of PMSG under grid fault can be easily achieved. Three case studies in this paper, dynamic responses of the system under normal operation, a step change of wind and a three-phase symmetrical fault with using crowbar protection and without crowbar protection. The optimal values that result from the WOA algorithm are compared with the simplex method.

90

2019 International Conference on Innovative Trends in Computer Engineering February 2nd – 4th, 2019 Aswan, Egypt

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Submerged Solar Energy Harvesters Performance for Underwater Applications Salsabeel Kamal, Ghazal M. Al-sayyad, Rana Abdelmoteleb, Mohammad Abdellatif and Sameh O. Abdellatif The British University in Egypt (BUE) Cairo, Egypt [email protected]; [email protected]

Abstract— Underwater communications is the transmission of data in an unguided water medium through wireless carriers such as; optical waves, radio-frequency waves and acoustic waves. Such type of communication system is utilized to enable the realization of the ocean exploration system and other marine monitoring/exploration systems. Seeking for a sustainable setup, the enrolment of energy harvesting sources in these wireless nodes have been presented as a replacement of the short-lifetime battery sources. In this paper, there are experimental measurements as well as theoretical studies for two different light harvesters have been conducted underwater with considering the air measurements as a reference. Moreover, Trade-off between cooling effect and light attenuation as well as scattering is tackled where optimum submerging distance is measured for various water types. I-V characteristic curves for the two harvesters are plotted using Keithley 2401 source-meter and artificial calibrated light source. The simulation model is validated using the experimental data, where perfect agreement was observed after considering the experimental parameter.

91

2019 International Conference on Innovative Trends in Computer Engineering February 2nd – 4th, 2019 Aswan, Egypt

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Distribution Network Reconfiguration Using Augmented Grey Wolf Optimization Algorithm for Power Loss Minimization Hanan Hamour Aswan University, Egypt

Salah Kamel Aswan University, Egypt

[email protected]

[email protected]

Loai Nasrat

Juan Yu

Aswan University, Egypt

State Key Laboratory of Power Transmission Equipment & System Security and New Technology, 2Chongqing University, China

[email protected]

[email protected]

Abstract— This paper proposes augmented Grey wolf optimizer (AGWO) for solving the radial distribution network reconfiguration problem. In the developed algorithm, the optimal switches combination is determined to change the topological structure of the system and reduce the total real power losses subject to the system operating onstraints. AGWO inspired from behavior of the alpha α, and beta β grey wolves in the nature. The proposed algorithm is tested on IEEE 33bus radial distribution system. The simulation results prove reasonable computing time and high performance of the proposed method comparing with other well-known optimization techniques.

92

2019 International Conference on Innovative Trends in Computer Engineering February 2nd – 4th, 2019 Aswan, Egypt

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Simulating The Thermoelectric Behaviour of CNT Based Harvester Mohamed F. Sanad, Ahmed Shaker, Sameh O. Abdellatif and Hani A. Ghali Centre for Emerging Learning Technologies (CELT) Faculty of Engineering, The British University in Egypt (BUE) Cairo, Egypt [email protected]

Abstract— Thermoelectric harvesters, where electrical energy is produced from temperature difference, show interest among various researchers during the previous decade. Carbon nanotubes (CNT), as a semiconductor, have been utilized as a thermoelectric paste due to its appropriate Seebeck coefficient. However, optimized paste wasn’t highlighted in literature due to lack in an efficient numerical model. Herein, we propose a novel numerical simulation model, based on Comsol Multiphysics, to simulate the thermoelectric behavior of a CNT based harvester. Simulation data is validated by experimentally prepared and characterized paste. The comparison showed an acceptable agreement.

93

2019 International Conference on Innovative Trends in Computer Engineering February 2nd – 4th, 2019 Aswan, Egypt

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Multi-Objective Whale Optimization Algorithm for Optimal Allocation of Distributed Generation and Capacitor Bank Ayat Ali Saleh,

Al-Attar Ali Mohamed

Aswan University, Egypt

Aswan University, Egypt

[email protected]

[email protected]

A.M.Hemeida

Abdalla Ahmed Ibrahim

Aswan University, Egypt

Aswan University, Egypt

[email protected]

[email protected]

Abstract— In this paper, proposed optimization technique called whale optimization algorithm (WOA) is presents to find the optimum allocation of distributed generation (DG) and capacitor in radial distribution systems during reduction of single and multi-objective function namely, (network power losses, voltage deviation, and total operating cost). The multi objective function is formed by the use of weighted sum method. In this paper, multiple-DG units have been analyzed under two load power factors (i.e., unity and optimal) with and without capacitor (C). WOA technique has been applied to a 33-bus radial distribution system. The performance of the WOA technique is compared with other evolutionary optimization methods under different operating conditions of the system. The impact of integrating the proper size of DG and C at the suitable placement based on proposed algorithm are shown in the simulation results.

94

2019 International Conference on Innovative Trends in Computer Engineering February 2nd – 4th, 2019 Aswan, Egypt

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Most Valuable Player Algorithm for Solving Direction Overcurrent Relays Coordination Problem Ahmed Korashy

Salah Kamel

Aswan University, Egypt

Aswan University, Egypt

[email protected]

[email protected]

Abdel-Raheem Youssef

Francisco Jurado

South Valley University, Egypt

University of Jaén, Spain

[email protected]

[email protected]

Abstract— This paper proposes the application of Most Valuable Player Algorithm (MVPA) to find the optimal solution for directional overcurrent relays (DOCRs) coordination problem. The coordination problem of DOCRs is considered as a non-linear optimization problem. The decision variables for this problem are relay settings. Minimize the summation of the operating times of all primary relays with maintaining the coordination margin between relays pairs is the main goal of this study. The feasibility and performance of the proposed algorithm for solving the coordination problem of DOCRs are assessed in two test system (8-bus and IEEE-30 bus). The results show the ability of the proposed algorithm for solving DOCRs coordination problem without any miscoordination. The results of the proposed optimization algorithm are compared with other previously optimization techniques.

95

2019 International Conference on Innovative Trends in Computer Engineering February 2nd – 4th, 2019 Aswan, Egypt

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Impact of Optimal Allocation of Renewable Distributed Generation in Radial Distribution Systems Based on Different Optimization Algorithms Shimaa Mohamed Ali

Al-Attar Ali Mohamed

A. M. Hemeida ,

Aswan University, Egypt

Aswan University, Egypt

Aswan University, Egypt

[email protected]

[email protected]

ashraf@ aswu.edu.eg

Abstract— This paper aims to propose Satin Bowerbird Optimization (SBO) Algorithm and Ant Lion optimizer (ALO) Algorithm for optimal sitting and sizing of renewable distributed generations (RDGs) (such as Photovoltaic (PV) and wind turbine (WT)) in radial distribution networks (RDN) to reducing the system power loss and consequently maximizing the net saving. The proposed methods are implemented on 33-bus and 118-bus IEEE standard radial distribution test systems. To ensure the validation of the proposed approaches, the simulation results obtained are compared by the proposed methods with each other and with the other existing technology.

96

2019 International Conference on Innovative Trends in Computer Engineering February 2nd – 4th, 2019 Aswan, Egypt

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An Enhanced Jaya Optimization Algorithm (EJOA) for Solving Multi-Objective ORPD Problem A. F. Barakat1, Ragab A. El-Sehiemy1, Mohamed I. Elsayd2, and E. Osman2 1

Kaferelsheikh University, Egypt 2 AL-Azhar University, Egypt

[email protected], [email protected], [email protected], [email protected]

Abstract— this article presents an enhanced Jaya optimization algorithm (EJOA) for solving a multi objective function (MOF) of the optimal reactive power dispatch (ORPD) problem. This solution aims to determine the optimal scheduling of control variables to achieve the ORPD primary objectives as well as respecting equality and inequality constrains. This problem is concerned with minimizing the real power losses (PL) and voltage deviation (VD) in power systems. The ORPD problem can be formulated as a non-linear and complex framework. The MOF is dependent on a combination of weighted sum method and fuzzy logic to find the best compromise solution of the competitive objective functions (COFs). For proving the effectiveness of the proposed EJOA, two test systems, IEEE 30-bus system and the network of west delta as a real system (WDRN), are used to prove the capability of the proposed Jaya algorithm with weight sum method and fuzzy member ship for solving a multi- objective ORPD problem. The obtained results confirm that the proposed Jaya algorithm is an effective tool that can makes a noticeable enhancement on solving ORPD problem.

97

2019 International Conference on Innovative Trends in Computer Engineering February 2nd – 4th, 2019 Aswan, Egypt

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Design of Microgrid with Flywheel Energy Storage System Using HOMER Software for Case Study Abdelmaged M. Aly1, Ahmed M. Kassem2, Khairy Sayed2, and Ismail Aboelhassan1,2 1

Aswan University, Egypt Sohag University, Egypt

2

Abstract—A comparison of two microgrid systems based on renewable energy sources (RES) generation for a case study "New Sohag University, Sohag, Egypt" is presented in this paper. The first microgrid system consists of PV solar panels, diesel generator (DG) and converter. By improving the first microgrid using energy storage systems (ESS) (i.e. battery for long-term storage purpose and flywheel for short-term storage purpose), the second system is constructed. Here, the data about economic and environmental effects of the two systems are collected by using HOMER software. Moreover, both two systems are compared in terms of Total Net Present Cost (TNPC), Cost of Energy (COE), carbon dioxide emissions and fuel diesel consumption. The impact of the uncertainty of the diesel fuel price on TNPC of the optimal system is investigated as well by the sensitivity analysis that allowed in Homer software.

98

2019 International Conference on Innovative Trends in Computer Engineering February 2nd – 4th, 2019 Aswan, Egypt

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Developing Phase-Shift PWM-Based Distributed MPPT Technique for Photovoltaic Systems A. Elmelegi1, Mokhtar Aly2, Emad M. Ahmed2,3 1

Upper Egypt Electricity Distribution Company, Ministry of Electricity and Renewable Energy, Egypt 2 Aswan University, Egypt 3 Jouf University, Saudi Arabia

[email protected], [email protected], [email protected]

Abstract—Multilevel inverters have several advantages over conventional two level inverter, due to their modularity and decreased filter size. Multilevel inverters can be derived using both fundamental frequency switching and higher frequency switching as well. This paper focuses on using phase-shift pulse width modulation technique (PWM) for maximum power point tracking (MPPT) in distributed photovoltaic (PV) systems. The proposed modulation technique overcomes the problem of partial shading conditions by generating the modulation signal for each PV module that corresponds to the maximum power point tracking MPPT. The proposed method can be extended to cover any number of PV modules without any control complexity and lookup tables. The performance of the proposed technique has been simulated and tested using MATLAB SIMULINK environment and investigated with different radiation and loading conditions.

99

2019 International Conference on Innovative Trends in Computer Engineering February 2nd – 4th, 2019 Aswan, Egypt

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A Pareto Strategy based on Multi-Objective for Optimal Placement of Distributed Generation Considering Voltage Stability Shimaa Mohamed Ali

Al-Attar Ali Mohamed

A. M. Hemeida ,

Aswan University, Egypt

Aswan University, Egypt

Aswan University, Egypt

[email protected]

[email protected]

ashraf@ aswu.edu.eg

Abstract—This study focuses on developing a multi-objective framework to seek out the optimal Distributed Generations (DGs) placement and sizing in large scale distribution networks. Renewable energy resources like wind turbine (WT), photovoltaic (PV) are employed as resources of Distributed Generation (DG). The well known and Non-dominated Sorting Genetic (NSGA-III) Algorithm is implemented to handle various objective functions such as active power losses, voltage deviation and voltage stability index. The proposed method is tested on standard IEEE 118-bus radial distribution networks. The proposed algorithm is used a range of non-dominant Pareto-optimal solutions that are stored in the external archive and then the ‘best’ compromise solution is identified by fuzzy sets technique. The simulation results show that the proposed methodology ready to provide well distributed Pareto optimum solutions for the multi-objective optimal power flow problem. Furthermore, in order to validate the obtained results Multi- objective Dragonfly (MODA) algorithm is performed also and the simulation results of two algorithms are compared with each other

100

2019 International Conference on Innovative Trends in Computer Engineering February 2nd – 4th, 2019 Aswan, Egypt

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Impact of Distributed Generation on Recloser-Fuse Coordination of Radial Distribution Networks Aliaa Arafa, Mohamed M. Aly, Salah Kamel Aswan University Egypt [email protected], [email protected], [email protected]

Abstract—This paper presents a proposed protection system to the IEEE 33-bus radial distribution network. The protection system composed of fuses and reclosers at different locations in the network where the reclosers and fuses are kept coordinated for all possible locations of fault. All reclosers are of extremely inverse type but with different parameters. Also, fuses are of same type but with different parameters. This protection system is tested under the connection of DGs. These DGs, although having many benefits for the distribution networks, they can cause many problems, especially to the protection system, if they are not well-designed. One of the most serious problems the DGs can cause is the recloser-fuse miscoordination. In this paper the location and penetration level of DGs are varied and their effects on the reclosersfuses coordination are tested under different fault locations. Finally, the paper studies the reclosers-fuses coordination of some literature studies which use different optimization techniques to determine the optimum sizes and locations of DGs on the same studied system. All simulation studies are performed on MATLAB script. The simulation results show that the connection of DGs with radial distribution systems may break the coordination between recloser and fuses even if optimum sizes and locations of these DGs are performed.

101

2019 International Conference on Innovative Trends in Computer Engineering February 2nd – 4th, 2019 Aswan, Egypt

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Optimal Reactive Power Dispatch Using Modified Sine Cosine Algorithm Said Abdel-Fatah

Mohamed Ebeed

Salah Kamel

Egyptian Ferro Silicon Alloys Company, Egypt.

Sohag University, Egypt

Aswan University, Egypt

[email protected]

[email protected]

[email protected]

Abstract—Solving the Optimal Reactive Power Dispatch (ORPD) problem in power system is a vital task to capture the most secure and stable operation of reactive power resources. In this paper, the ORPD problem is solved using a new modified sine cosine algorithm (MSCA). Sine cosine algorithm (SCA) is a well-known population-based optimization technique. Despite the SCA is an effective algorithm, it may prone to stagnation and stuck in local minima for some cases. The modified sine cosine algorithm (MSCA) is based on Levy flight distribution with adaptive operators. This algorithm is developed to avoid the shortage of the conventional SCA and enhance its searching abilities. The considered objective functions are minimizing the power losses, improving the voltage profile and enhancing the stability of system. The proposed algorithm is applied to IEEE 30-bus system and the yielded results are compared with other well-known optimization algorithms. The simulation results demonstrate the superiority and efficiency of the MSCA for solving the ORPD compared to the other listed techniques in literature.

102

2019 International Conference on Innovative Trends in Computer Engineering February 2nd – 4th, 2019 Aswan, Egypt

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Design and Analysis of Multi-Phase Buck DC-DC Converters for Li-Fi Attocell Drivers Anwaar M. Damerdash1, Mokhtar Aly1, Emad M. Ahmed1,2 1)

2)

Aswan University, Egypt Jouf University, Saudi Arabia

[email protected], [email protected], [email protected]

Abstract—Light fidelity (Li-Fi) is a visible light communications (VLC) system that employs the light emitting diodes (LED) lamps for wireless communications. The Li-Fi atto-cell driver systems use the lighting system fixtures to achieve two function; namely the illumination and communication functions. The Li-Fi systems are advantageous at using LEDs to transmit high speed communication signals without compromising their illumination at a good efficiency. The DC-DC converters represent the main core and the suitable choice of Li-Fi attocell drivers. The main challenges of Li-Fi atto-cell driver system is the implementation of complex communication modulation signals, such as quadrature amplitude modulation (QAM), in addition to the driver efficiency deteriorations due to the communication signal. In addition, achieving high bit rate is essential requirement for communication systems that make design of dc-dc converter is of a challenging task. This paper presents a comparative case study of single phase and multiphase buck DC-DC converters for driving Li-Fi systems. The comparison includes the converter design, the efficiency, and the maximum achievable bit rates of each topology.

103

2019 International Conference on Innovative Trends in Computer Engineering February 2nd – 4th, 2019 Aswan, Egypt

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Techno-economic Feasibility of Photovoltaic System for an Educational Building in Egypt (Case Study) Mira M. Zarie(1) , Peter Makeen(1) and Sameh O. Abdellatif (1) I. M. Mahmoud (2), T.S. Abdel-Salam (3) (1)

Centre for Emerging Learning Technologies (CELT) Faculty of Engineering, BUE , Egypt (2) BUE, Egypt (3) Ain Shams University Cairo, Egypt [email protected]

Abstract— The fluctuation of fuel prices has become a concern to the Egyptian society since it influences the electricity tariff. The objective of this paper is to design a self-consumed power system for an educational building from a photovoltaic (PV) source. Two proposed systems, gridconnected and standalone, are suggested and compared to the currently running grid supply system. The comparison is implemented from a techno-economic point view through calculating the net present cost (NPC), the levelized cost of energy (LCOE) and the return of investment (ROI) when applicable. The study showed the leading of the gridconnected system over the standalone one whenever a grid is already connected to the area. an overall reduction of more than 50% in NCP and 75 % in LCOE was recorded.

104

2019 International Conference on Innovative Trends in Computer Engineering February 2nd – 4th, 2019 Aswan, Egypt

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Machine Topology for Integral Starter-Generator in More-Electric Aircraft Ahmed. A. AbdElhafez

Ali M. Yousef

Assiut University, Egypt

Assiut University, Egypt

[email protected]

[email protected]

Abstract—This paper highlights the basic concepts and advantages of More/All Electric Aircraft (MEA/AEA) in the area of aircraft industry. MEA is anticipated to optimize the aircraft performance, reduce the total cost and increase safety, reliability and robustness. The Combined Starter/Generator (CS/G) system is advised as a key technology to enable MEA/AEA. A detailed analysis for the performance requirements of CS/G system is carried out. A comparative study for different machine candidates for CS/G is proposed, while focusing on Fault-tolerance, reliability and robustness.

105

2019 International Conference on Innovative Trends in Computer Engineering February 2nd – 4th, 2019 Aswan, Egypt

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106

2019 International Conference on Innovative Trends in Computer Engineering February 2nd – 4th, 2019 Aswan, Egypt

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Posters

107

2019 International Conference on Innovative Trends in Computer Engineering February 2nd – 4th, 2019 Aswan, Egypt

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108

2019 International Conference on Innovative Trends in Computer Engineering February 2nd – 4th, 2019 Aswan, Egypt

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Delay Optimization of 4-Bit ALU Designed in FS-GDI Technique Mahmoud Aymen Ahmed1, M. A. Mohamed El-Bendary2, Fathy Z. Amer2, Said M. Singy3 1

Sohag University, Egypt Helwan University, Egypt 3 Banha University, Egypt

2

[email protected], [email protected], [email protected], [email protected]

Abstract—Arithmetic Logic Unit (ALU) is an essential building block in many applications such as microprocessors, DSP, and image processing, while power efficiency is a general concern in VLSI design. This paper presents Delay time optimization of 4-bit ALU designed using full-swing gate diffusion input (GDI) technique. Simulations carried out in Cadence virtuoso using 65nm TSMC processes with a supply voltage of 1.2 volts and a frequency of 125 MHz, Simulation results revealed improvement in Delay time and overall Energy of the optimized ALU design.

109

2019 International Conference on Innovative Trends in Computer Engineering February 2nd – 4th, 2019 Aswan, Egypt

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Secure Transmission of Space Images using Joint Encryption Compression Essam AbdElWanees

Ashraf Diaa Bayoumy

Amr Mohamed AbdElaziz

The Military Technical College, Egypt [email protected]

The Military Technical College, Egypt [email protected]

The Military Technical College, Egypt [email protected]

Abstract—The Consultative Committee for Space Data Systems (CCSDS) has issued data compression standards for multi-spectral images aimed to reduce the amount of data transmitted from Earth observation satellites (EOS) to ground stations. Confidentiality of compressed image assumed to be provided by Separate modules which consume mass, power and volume of the space craft. This paper investigate the possibility of applying joint encryption compression to protect compressed image during its transmission by randomized switching between two coding modes in the entropy coder stage of CCSDS-123 compression standard which achieves sufficient security without introducing much complexity to the compression algorithm or affecting compression performance.

110

2019 International Conference on Innovative Trends in Computer Engineering February 2nd – 4th, 2019 Aswan, Egypt

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Cellular Network Power Control Optimization Using Unsupervised Machine Learnings

Ayman Gaber

Mohamed Mahmoud Zaki

Radio Access Network Vodafone Egypt, Egypt

Radio Access Network Vodafone Egypt, Egypt

[email protected]

mohamed.mahmoud-zaki @vodafone.com

Ahmed Maher Mohamed

Mohamed Abdellatif Beshara

Radio Access Network Vodafone Egyp, Egypt

Radio Access Network Vodafone Egypt, Egypt

[email protected]

[email protected]

Abstract—Spectrum is the most scarce resources for any mobile operator, with the exponentially growing demand for data services that require higher speeds [1], operators have to utilize the available spectrum in the most efficient way to provide the best data experience for smartphone users whom are hungry for data services, yet keep an adequate performance for circuit switched voice service for the legacy technologies in WCDMA and GSM that are still serving customers with handsets that are not supporting LTE. The advancement in clustering techniques could allow operator to optimize their network parameters in a more efficient way, so they can achieve better spectrum utilization for the legacy technologies that will allow more spectrum refarming for LTE needs. In this paper, we propose a new approach for optimizing GSM power control algorithm to enhance GSM voice performance in operators with limited spectrum allocated to this technology. The new approach has been tried in real mobile network with positive results in terms of voice quality and dropped call rate. The approach could be extended to other radio network algorithms to better exploiting current network resources.

111

2019 International Conference on Innovative Trends in Computer Engineering February 2nd – 4th, 2019 Aswan, Egypt

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Data Security in Cloud Computing Using Steganography: A Review Aya Y. AlKhamese

Wafaa R. Shabana

Ibrahim M. Hanafy

Port Said University, Egypt

Port Said University, Egypt

Port Said University, Egypt

[email protected]

[email protected]

[email protected]

Abstract—Cloud computing is one of the largest developments in the field of information technology during recent years. It is a service oriented computing which offers everything as a service via the internet by the pay-asyou-go model. It becomes more desirable for all organizations (such as education, banking, healthcare and manufacturing) and also for personal use as it provides a flexible, scalable, and reliable infrastructure and services. For the user, the most important issue is to store, retrieve and transmit the data over the cloud network and storage in a secure manner. Steganography and cryptography are some of the security techniques applied in the cloud to secure the user data transmitting. The objective of steganography is to hide the existence of communication from the unintended users; whereas cryptography encrypts the data to make it more secure. Steganography is considered as the most effective technique for securing the communication in the cloud. Digital images are most commonly used as a cover medium in steganography. In the literature, there exist several image steganography techniques for hiding information in images; which were developed and implemented in the time domain as well as in the frequency domain. Fundamentals of spatial domain and frequency domain techniques are reviewed in this paper with emphasis on the Least Significant Bit (LSB) and the Discrete Cosine Transform (DCT) techniques.

112

2019 International Conference on Innovative Trends in Computer Engineering February 2nd – 4th, 2019 Aswan, Egypt

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Practical Performance Analysis and Device Selection for Photovoltaic Multilevel Inverters Installations Doaa Ramadan1, Mokhtar Aly1, Emad M. Ahmed1,2 1)

2)

Aswan University, Egypt Jouf University, Saudi Arabia

[email protected], [email protected], [email protected]

Abstract— The continuously increasing energy demands, and running out of the conventional fossil fuel have directed research towards developing renewable energy resources. Whereas, the industrial power electronics represents crucial part of the renewable energy conversion system. The energy efficiency possesses various challenges for the design of interfacing inverter. This paper presents a systematic approach for practical design and component selection for multilevel inverters in photovoltaic (PV) systems. The study includes the practical considerations of different sites of installations, PV cell modelling, technologies of various power electronic devices, accurate power losses modelling of power electronic devices and weighted efficiency prediction with considering practical mission profiles of the PV system. The traditional silicon (Si) insulated gate bipolar transistor (IGBT) is compared with silicon carbide (SiC) metal oxide semiconductor fieldeffect transistor (MOSFET) and gallium nitride (GaN) wideband gap (WBG) technologies. The proposed methodology is beneficial for PV system planners for evaluating technical and economic installations of PV systems. Moreover, optimized selection of power components and technologies can be easier using the proposed method.

113

2019 International Conference on Innovative Trends in Computer Engineering February 2nd – 4th, 2019 Aswan, Egypt

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Photovoltaic Applications for Lighting Load Energy Saving: Case Studies, Educational Building Nancy M. Elsayed

Rania A.Swief

Ministry of Electricity and Renewable Energy, Egypt

Ain Sham University, Egypt

Sameh O. Abdellatif

Tarek S. Abdel-Salam

The British University in Egypt, (BUE), Cairo, Egypt

Ain Sham University, Egypt

[email protected]

Abstract— Renewable energy is generally defined as energy that comes from natural resources such as sunlight, wind, rain, tides, waves and geothermal heat energy. Rapid deployment of renewable energy and energy efficiency i s resulting in significant energy security, climate change mitigation, and economic benefits. In this Work one of the Renewable Energies is being focused which is solar energy that it can be used in different two ways Solar Thermal or Solar Photovoltaic; as Solar power (Electricity) is produced in two ways: Direct Transformation from PV or Concentration of solar energy to create steam in order to drive a turbine. Photovoltaic (PV) devices are discovered with their types based on the type of silicon used, specifically; (Mono-crystalline Silicon Cells, Poly-crystalline Silicon Cells, Amorphous thin-film Silicon Cells); Also, different factors that can affect the efficiency of solar panel mounting systems are discussed. PV Systems (Stand-Alone System or a Grid Connected System) with their configurations is discovered and discussed briefly. As Smart Grid is an Electrical Grid in which it includes varieties of operational and Energy Measurements such as Smart Meters, Smart Appliances, Renewable Energy Resources, and Efficiency Energy Resources from here PV Systems as one the Renewables resources in smart grid is introduced. The Study is for Supplying Building (A) – BUE with power and loads was assumed to be 921364.7059 Wh/day and the no. of modules required was 2000 PV module. In order to install 2000 PV Module, it requires 4000m² Area and the building roof area doesn’t support to install all this number of modules so it is assumed to be installed in another area land beside the BUE location. A MATLAB Program Code was Generated to estimate the Monthly Averaged Global Solar Radiation at BUE Location and also another Code was generated to Draw the (I-V) Curve for the Selected PV Module.

114

2019 International Conference on Innovative Trends in Computer Engineering February 2nd – 4th, 2019 Aswan, Egypt

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Modeling the Automatic Voltage Regulator (AVR) Using Artificial Neural Network Salem Alkhalaf Qassim University Kingdom of Saudi Arabia [email protected]

Abstract—The artificial neural network (ANN) has been successfully applied to many systems’ models with the objective of improving their performance. This study presents the ANN application to the automated voltage regulator (AVR) model of the synchronous machine. The studied system consists of the single-machine infinite bus (SMIB) power system. Data was extracted over a diverse range of conditions. Different fault types were also considered for collecting a large number of data to avoid overfitting. The multilayer feedforward neural network (MLFFNN) approach was applied to design the paradigm and system equations were solved using the MATLAB Simulink software.

115

2019 International Conference on Innovative Trends in Computer Engineering February 2nd – 4th, 2019 Aswan, Egypt

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Comparative Study to Investigate the Effect of Five VS Seven Segment Modulation Sequence on the Waveform Distortion Resulted by the Overlap Time in Current Source Inverter Mahmoud G. Sayed Aswan University, Egypt

Omar Abdel-Rahim Aswan University, Egypt

M. Orabi Aswan University, Egypt

[email protected]

[email protected]

[email protected]

Abstract—current source inverter (CSI) requires particular modulation strategy due to its configuration and principle of operation. An overlap period of time between the switching states is necessary so as not to cut the input inductor current. When operated by space vector pulse width modulation (SVPWM), this overlap instant results in current harmonic distortions. The current distortions deteriorates the quality of electric power delivered by CSI. The following paper introduces a comparative study between five and seven segment modulation sequences of SVPWM, and investigates their effect on the current distortions resulted by the overlap instant. The study finally recommends one modulation sequence over the other to alleviate the impact of the overlap instant on the output current waveform.

116

2019 International Conference on Innovative Trends in Computer Engineering February 2nd – 4th, 2019 Aswan, Egypt

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Single-Phase Isolated Bidirectional AC-DC Battery Charger for Electric Vehicle – Review *Mahmoud Nassary, *Mohamed Orabi, **Maged Ghoneima, ***Mohamed K. El-Nemr *APAERC, Aswan University, Egypt. **Ain Shams University, Egypt. ***Tanta University, Egypt. [email protected]

Abstract—Nowadays, Plug in Electric Vehicle (PEV) has been considered as an environmental friendly and high efficient than the fuel vehicle. The electric vehicle (EV) has two main electrical systems; the on-board battery charger (BC) and the motor driver. Basically, there are two types of charger depends on the power flow; unidirectional and bidirectional BC. The EV which has a bidirectional BC is considered as a decentralized generator, wherein it could supply the grid while the vehicle is connected. Thus, bidirectional BC is very beneficial feature for both the EV driver and the grid operators. In this paper an updated review is presented about the single-phase bidirectional BC. The review is compromised on four main parameters; the BC lifetime which based mainly on the capacitor type, efficiency, cost and the power factor (PF). In addition, the topologies are summarized regarding various performance criteria.

117

2019 International Conference on Innovative Trends in Computer Engineering February 2nd – 4th, 2019 Aswan, Egypt

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Performance Analysis for Single-Stage Buck-Boost Inverter Eltaib Abdeen, Mahmoud A. Gaafar and Mohamed Orabi APEARC, Aswan Univeristy, Egypt [email protected], [email protected], [email protected]

Abstract—in this paper a three-phase single stage buck-boost inverter is presented. The proposed inverter consists of a DC-AC inverter that merges DC-DC converter for boosting the input voltage and DC-AC inverter for interfacing the DC input and AC grid. The proposed paper based on the three-phase full bridge inverter, where only one inductor and switch have been added to step up the input voltage. The proposed inverter is featured by some advantages such as a reduction in the number of semiconductor power switches, and control implementation simplicity. The operation of the inverter is studied and analyzed in this paper. The three-phase inverter is simulated using MATLAB software package-tool to verify the performance of the topology.

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