{"title":"A Novel Pitch-Frequency-Based ECG Signal Classification Approach for Abnormality Detection","authors":"Aya R. Allam, A. Ashour, M. Elnaby, F. El-Samie","doi":"10.1109/JAC-ECC48896.2019.9051338","DOIUrl":"https://doi.org/10.1109/JAC-ECC48896.2019.9051338","url":null,"abstract":"Electrocardiogram (ECG) has a significant role for measuring the electric activity of the heart to discover heart diseases. Accurate classification of the ECG signals is used to detect the heart abnormalities. The present work is an efficient approach for the classification of normal and abnormal ECG signals based on pitch frequency estimation of these signals. Two time-domain methods, namely the auto-correlation function (ACF), and average magnitude difference function (AMDF) are used for pitch detection from ECG signals. The receiver operating characteristic (ROC) curve is used to measure the accuracy of the proposed method for ECG signal classification. The results report 100% classification accuracy of the ECG signals.","PeriodicalId":351812,"journal":{"name":"2019 7th International Japan-Africa Conference on Electronics, Communications, and Computations, (JAC-ECC)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125114722","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"S-Transform-Based Electroencephalography Seizure Detection and Prediction","authors":"Sara A. Grabat, A. Ashour, M. Elnaby, F. El-Samie","doi":"10.1109/JAC-ECC48896.2019.9051320","DOIUrl":"https://doi.org/10.1109/JAC-ECC48896.2019.9051320","url":null,"abstract":"Epilepsy is a fatal disease worldwide, which is considered as the second most common brain disease. It can be represented by an electroencephalogram (EEG) signal for epileptic seizure analysis. In this work, features are extracted from S-transform of EEG signals with fixed periods of time. These features are extracted from three states, namely normal, pre-ictal and ictal (seizure). The powers of the different EEG extracted features are calculated. Afterwards, the support vector machines (SVMs) are applied to distinguish between the different periods of the different states. The simulation results reveal the impact of using S-transform for seizure detection with average sensitivity and specificity of 94.481%, and 70.315%, respectively. Moreover, the seizure prediction is performed accurately with average sensitivity and specificity of 96%, and 72.944%, respectively.","PeriodicalId":351812,"journal":{"name":"2019 7th International Japan-Africa Conference on Electronics, Communications, and Computations, (JAC-ECC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129833855","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Development of Large Area Motion Tracking System","authors":"Hadeer Adel, A. Zekry, N. Abdrabou","doi":"10.1109/JAC-ECC48896.2019.9051196","DOIUrl":"https://doi.org/10.1109/JAC-ECC48896.2019.9051196","url":null,"abstract":"Different systems focus on the analysis of the motion of the human body, meanwhile these systems face a lot of challenges such as the small range and the high cost. This paper represents a proposed system for detecting the motion of a moving body called Large Area Motion Tracking (LAMT). This system enables the researchers to study and follow up the human body motion in large areas. This can be achieved by developing a video display of a laser beam motion using a photo detector and an optical system. The main advantages of the proposed system are the speed, the low price, the accurate run and the real-time detection capability., also it will be suitable for the indoor and the outdoor applications.","PeriodicalId":351812,"journal":{"name":"2019 7th International Japan-Africa Conference on Electronics, Communications, and Computations, (JAC-ECC)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127022678","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Heba E. Hassan, Gihan Nagib, Khaled Hosny Ibrahiem
{"title":"An Evolutionary Fuzzy based Scheduling Algorithm for Soft Real-Time Multiprocessor Systems","authors":"Heba E. Hassan, Gihan Nagib, Khaled Hosny Ibrahiem","doi":"10.1109/JAC-ECC48896.2019.9051189","DOIUrl":"https://doi.org/10.1109/JAC-ECC48896.2019.9051189","url":null,"abstract":"Scheduling algorithms are designed to ensure high level of performance for real-time systems by optimizing the allocation of resources and time to tasks thus meeting specific system requirements. The task scheduling problem is known to be NP-Complete and is not simply solved. This paper proposes a novel scheduling algorithm for real-time systems using two fuzzy inference engines. The results of the proposed algorithm are compared with those of the two existing scheduling algorithms which are the Earliest Deadline First and Least Laxity First scheduling algorithms. The scope of this paper is limited to the non-preemptive independent tasks for a multiprocessor environment.","PeriodicalId":351812,"journal":{"name":"2019 7th International Japan-Africa Conference on Electronics, Communications, and Computations, (JAC-ECC)","volume":"215 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121939933","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Handover and QoS Control in LTE HetNet Based on Fuzzy Logic Design","authors":"Zeinab A. Aboelezz, Hala B. Nafea, F. Zaki","doi":"10.1109/JAC-ECC48896.2019.9051126","DOIUrl":"https://doi.org/10.1109/JAC-ECC48896.2019.9051126","url":null,"abstract":"In heterogeneous networks (HetNet), the handover is an important process that affects the quality of service (QoS) performance. The decision of handover is the objective rule in the handover process. The main objective of this paper is to propose a fuzzy logic model to calculate the QoS for LTE networks based on handover process. The fuzzy logic model is designed for macro or small cell construction and use Signal to Interference-Noise Ratio (SINR), data rate, load, distance between user and base station, and velocity of user equipment as parameters. To reduce the number of rules in the fuzzy model, the proposed design is arranged as a combination of multi stage fuzzy logic. This will simplify the design for large input parameters, i.e., reduce the design complexity. The new proposed model consists of three stages to calculate the QoS. The design will find its application in VOIP, HTTP, Videos, and Email services. Matlab simulation of the proposed design provided a 100% QoS under the constraints of high throughput, low network delay, low jitter, and low loss rate.","PeriodicalId":351812,"journal":{"name":"2019 7th International Japan-Africa Conference on Electronics, Communications, and Computations, (JAC-ECC)","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124218173","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
M. Mahmoud, G. Fahmy, A. Abdel-Rahman, A. Allam, M. Abo-Zahhad, H. Jia, R. Pokharel
{"title":"Enhancing Dynamic Range of RF-to-DC Rectifier using Leakage Current Reduction Technique","authors":"M. Mahmoud, G. Fahmy, A. Abdel-Rahman, A. Allam, M. Abo-Zahhad, H. Jia, R. Pokharel","doi":"10.1109/JAC-ECC48896.2019.9051316","DOIUrl":"https://doi.org/10.1109/JAC-ECC48896.2019.9051316","url":null,"abstract":"In this paper, the dynamic range of the conventional differential drive rectifier is enhanced based on leakage current reduction technique, to solve the narrow dynamic range problem of the input power and improve the output rectifier performance. The proposed design uses auxiliary transistors to control the conductivity of the rectifying PMOS devices dynamically to reduce the reverse leakage current. Post layout simulations have been performed using 0.18 μm CMOS technology at 402 MHz with 10kΩ load resistor. The proposed rectifier increases the range of the RF input power about ten times compared to a conventional rectifier's dynamic range and reduces the reverse leakage current from ‒98 μA to ‒22 μA. It also boosts the output average voltage at high input power. In addition, the developed rectifier exhibits good performance over wide band of input frequencies up to 2.4 GHz. The proposed rectifier has a small area of about 0.19 mm2.","PeriodicalId":351812,"journal":{"name":"2019 7th International Japan-Africa Conference on Electronics, Communications, and Computations, (JAC-ECC)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117245827","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Optical Dynamic Resource Allocation Based on Weighted Expected Spectral Efficiency","authors":"A. Nor","doi":"10.1109/JAC-ECC48896.2019.9051003","DOIUrl":"https://doi.org/10.1109/JAC-ECC48896.2019.9051003","url":null,"abstract":"5G networks occupies a high interest recently because it enables internet of things applications. One of these networks is light fidelity (Li-Fi) technology that attracts high attention nowadays in wireless communication field. Because it has a large swath of spectrum hence the ability to provide high end user data rate up to multiple Gbps. However, Li-Fi suffers from big issues such as co-channel interference (CCI) between users. This problem highly degrades Li-Fi performance. To overcome on this challenge, an efficient resource allocation between users is needed to obtain optimum usage of available system spectrum. In this paper, the users' channel quality is taken into consideration to dynamically allocate resources to users in Li-Fi network. Based on this criterion, the network guarantees efficient spectrum distribution among users without wasting resources for users with bad channel conditions thus improving the system performance. Hence, the proposed scheme can achieve a high improvement in total system spectral efficiency and increase in average data rate per user comparable to other scheduling algorithms, i.e., round robin and proportional fairness scheduling, as it will be discussed in numerical simulation.","PeriodicalId":351812,"journal":{"name":"2019 7th International Japan-Africa Conference on Electronics, Communications, and Computations, (JAC-ECC)","volume":"132 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127588602","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Rainbow Deep Reinforcement Learning Agent for Improved Solution of the Traffic Congestion","authors":"Mahmoud Nawar, Ahmed M. Fares, A. Al-sammak","doi":"10.1109/JAC-ECC48896.2019.9051262","DOIUrl":"https://doi.org/10.1109/JAC-ECC48896.2019.9051262","url":null,"abstract":"While traffic congestion hits severely the world economy, adaptive traffic signal systems would efficiently provide potential solutions. In this paper, we propose a deep reinforcement learning system to control the signal lights in an isolated intersection. The proposed system uses a deep convolutional neural network to extract the crucial features from the environment state that is described by raw traffic information; i.e., vehicles positions, speeds, and waiting times. Besides, the system utilizes a multi-objective reward and the Rainbow agent which provides further space of enhancements to the conventional Deep Q-Networks agent. Extensive experiments illustrate that our proposed deep framework outperforms the baseline under a number of settings and traffic measures, including trip time, waiting time, fuel consumption, and stability.","PeriodicalId":351812,"journal":{"name":"2019 7th International Japan-Africa Conference on Electronics, Communications, and Computations, (JAC-ECC)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126166006","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Y. Elbashar, D. Rayan, Hedra E. Saleh, R. Abdelrassoul
{"title":"Synthesis and Characterization of Neodymium Oxide Doped Phosphate Glass Matrix for Solar Cell Application","authors":"Y. Elbashar, D. Rayan, Hedra E. Saleh, R. Abdelrassoul","doi":"10.1109/JAC-ECC48896.2019.9051146","DOIUrl":"https://doi.org/10.1109/JAC-ECC48896.2019.9051146","url":null,"abstract":"Conventional glass melt quenching method was used to prepare samples of the phosphate glass system. The nature of glass prepared was measured by x-ray diffraction, which shows no crystal content, and Archimedes method was used to measure the density, and hence, the molar volume was calculated. The effect of Neodymium content on density and molar volume was investigated. The density of the glass decreased by increasing the Neodymium content, while the molar volume VM follows the opposite trend. Optical absorption and transmission spectra were measured in the range from 190 to 1100 nm, and two broad bands are observed in both UV and IR regions. The obtained results were analyzed for the determination of the optical bandgap energy and different physical properties, such as permittivity, polarizability, refractive index and dielectric constant. The optical bandgap energy has been found to be dependent on Nd2O3 content. This behavior reveals the possibility of using such systems as effective top layer of the solar cell in a down-conversion system to reduce the waste photons.","PeriodicalId":351812,"journal":{"name":"2019 7th International Japan-Africa Conference on Electronics, Communications, and Computations, (JAC-ECC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133816639","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Towards Traffic Congestion-Free through Intelligent Traffic Control System","authors":"Ahmed Mansour, M. Rizk","doi":"10.1109/JAC-ECC48896.2019.9051064","DOIUrl":"https://doi.org/10.1109/JAC-ECC48896.2019.9051064","url":null,"abstract":"One of the most serious problems that take lots of attention during last decade is the massive increasing in number of vehicles, which leads to dramatically traffic congestion. Such problem in cities puts huge stress on various systems for decision making and infrastructure planning of many metropolitan areas. Therefore, traffic control becomes the main concern for different systems to overcome this gradual challenge as associated phenomena of the continuous growth of population and vehicles over inadequate road infrastructures. The conventional systems rely on using a static timer for traffic signal, but this solution has multiple limitations, as traffic signal changes its lights even there are no vehicles on the road, which causes fake jamming and waste time and resources. Thus, recent literatures show massive improvements of reducing traffic overcrowding through the usage of Internet of Things (IoT) technology to enable adaptive traffic signal timers. IoT facilitates dealing with the collected data for processing and analysis through integration with Cloud by the attached sensors and cameras on each signal node. In this paper, we assume each traffic signal alongside the road has multiple IoT sensors and a camera to detect the flow rate and type of different vehicles and send to Cloud as a powerful platform for perform accurate detection and information extraction through image processing approach such as YOLO algorithm. The results showed reduction on waiting time by 60% when manipulate traffic signal timer to accurately adapt signal with the real-time traffic flow alongside the roads. Such improvement relies on efficient usage of Q-learning approach to enhance the quality of decision making.","PeriodicalId":351812,"journal":{"name":"2019 7th International Japan-Africa Conference on Electronics, Communications, and Computations, (JAC-ECC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124442339","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}