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2019 7th International Japan-Africa Conference on Electronics, Communications, and Computations, (JAC-ECC)最新文献

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Fast Seizure Detection from EEG Using Machine Learning 基于机器学习的脑电图快速癫痫检测
2019 7th International Japan-Africa Conference on Electronics, Communications, and Computations, (JAC-ECC) Pub Date : 2019-12-01 DOI: 10.1109/JAC-ECC48896.2019.9051070
A. Shoka, M. Dessouky, A. El-Sherbeny, A. El-Sayed
{"title":"Fast Seizure Detection from EEG Using Machine Learning","authors":"A. Shoka, M. Dessouky, A. El-Sherbeny, A. El-Sayed","doi":"10.1109/JAC-ECC48896.2019.9051070","DOIUrl":"https://doi.org/10.1109/JAC-ECC48896.2019.9051070","url":null,"abstract":"A seizure is a sudden, uncontrolled electrical disturbance in the brain. It can cause changes in epileptic patient's behavior, developments or emotions, and in levels of consciousness. The rapid predictions of epileptic seizures help the epileptic patient to avoid tremendously complications like falling, drowning, accidents and pregnancy complications. Generally, seizure detection is performed in two main sequential stages; feature extraction stage and classification stage. In this paper, new algorithm is proposed to detect the seizure through a short period only 10 seconds. Eleven features are extracted from EEG signal to characterize behavior of EEG activities. These features are fed to five classifiers. These classifiers are SVM, KNN, decision tree, logistic regression, and ensemble. The results show that SVM is the best classifier for detecting the incidence of the seizure with high accuracy and sensitivity.","PeriodicalId":351812,"journal":{"name":"2019 7th International Japan-Africa Conference on Electronics, Communications, and Computations, (JAC-ECC)","volume":"4 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":"116932213","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}
引用次数: 3
Evaluating the Performance of Neural Network and Kalman Filter Based Linear Model on Classification of Hand EMG Signals 基于神经网络和卡尔曼滤波的线性模型在手肌电信号分类中的性能评价
2019 7th International Japan-Africa Conference on Electronics, Communications, and Computations, (JAC-ECC) Pub Date : 2019-12-01 DOI: 10.1109/JAC-ECC48896.2019.9051106
Abdullah Ahmed, M. Magdy, A. El-assal, A. El-Betar, Hussein F. M. Ali
{"title":"Evaluating the Performance of Neural Network and Kalman Filter Based Linear Model on Classification of Hand EMG Signals","authors":"Abdullah Ahmed, M. Magdy, A. El-assal, A. El-Betar, Hussein F. M. Ali","doi":"10.1109/JAC-ECC48896.2019.9051106","DOIUrl":"https://doi.org/10.1109/JAC-ECC48896.2019.9051106","url":null,"abstract":"In recent years, many revolutionary algorithms were designed for enhancing the performance of the neural network classification. This paper aims at evaluating the efficiency of one of these algorithms in intuitive control of the prosthetic hands. We used a combination of a neural network and a Kalman filter based linear model for the classification of 4 movement patterns by recruiting a single electromyographic channel electrode. The resultant recognition accuracy reached 95.4% with a mean squared error of 0.0473. The results show that the proposed technique is promising and competitive compared to traditional classification strategies.","PeriodicalId":351812,"journal":{"name":"2019 7th International Japan-Africa Conference on Electronics, Communications, and Computations, (JAC-ECC)","volume":"34 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":"131518436","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}
引用次数: 2
Performance Optimization of a Proposed Piezoelectric Cantilever Energy Harvester Using Genetic Algorithm 基于遗传算法的压电悬臂式能量采集器性能优化
2019 7th International Japan-Africa Conference on Electronics, Communications, and Computations, (JAC-ECC) Pub Date : 2019-12-01 DOI: 10.1109/JAC-ECC48896.2019.9051004
Shimaa M. Ahmed, M. Salem, M. Eladawy
{"title":"Performance Optimization of a Proposed Piezoelectric Cantilever Energy Harvester Using Genetic Algorithm","authors":"Shimaa M. Ahmed, M. Salem, M. Eladawy","doi":"10.1109/JAC-ECC48896.2019.9051004","DOIUrl":"https://doi.org/10.1109/JAC-ECC48896.2019.9051004","url":null,"abstract":"This paper aims to present the performance optimization of a proposed single beam piezoelectric cantilever structure. The design optimization technique is based on genetic algorithms. It optimizes the structure geometrical parameters. By this optimization, the optimum value of the product of output power and bandwidth in a certain frequency domain is found. In the proposed structure, the piezoelectric material is split into different segment. The optimum number and dimension of these segments that maximizing the power bandwidth product is determined. A comparison between the proposed and the conventional structure is presented. Both structures are simulated using Comsol Multi-physics 5. The power bandwidth product in the proposed structure is enhanced. in the proposed structure is enhanced over the traditional structure. The simulation results indicate that the optimum value of the proposed structure is higher than the conventional structure by 9.46 %. In addition, the volume of the proposed structure is less than the conventional structure by 7.65%.","PeriodicalId":351812,"journal":{"name":"2019 7th International Japan-Africa Conference on Electronics, Communications, and Computations, (JAC-ECC)","volume":"21 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":"121512007","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}
引用次数: 1
Descriptors for Human Activity Recognition 人类活动识别的描述符
2019 7th International Japan-Africa Conference on Electronics, Communications, and Computations, (JAC-ECC) Pub Date : 2019-12-01 DOI: 10.1109/JAC-ECC48896.2019.9051211
Sara Ashry, W. Gomaa
{"title":"Descriptors for Human Activity Recognition","authors":"Sara Ashry, W. Gomaa","doi":"10.1109/JAC-ECC48896.2019.9051211","DOIUrl":"https://doi.org/10.1109/JAC-ECC48896.2019.9051211","url":null,"abstract":"This article presents some filtration process on a public human activity dataset called ‘EJUST-ADL-l‘. It consists of four types of 3D IMU sensory signals: User acceleration, angular velocity, rotation displacement, and gravity for 14 activities of daily living ADLs measured by a wearable smart watch. The EJUST-ADL-l dataset contains mainly activities of communication, feeding, transferring, and personal grooming. The data is filtered by using several descriptors. The descriptors are constructed using different combinations of the following signal features: The minimum, maximum, median, mode, range (maximum-minimum), mean, standard deviation, entropy, and the autocorrelation function up to a certain lag and taking these values as representative features of the given signal. Experiments show which descriptor achieves highest accuracy on the random-forest based model.","PeriodicalId":351812,"journal":{"name":"2019 7th International Japan-Africa Conference on Electronics, Communications, and Computations, (JAC-ECC)","volume":"52 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":"132528091","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}
引用次数: 3
Graphene Magneto-Electric Antenna on Curved Structures for Millimeter Wave Communications 用于毫米波通信的弯曲结构石墨烯磁电天线
2019 7th International Japan-Africa Conference on Electronics, Communications, and Computations, (JAC-ECC) Pub Date : 2019-12-01 DOI: 10.1109/JAC-ECC48896.2019.9051340
A. Ghazi, H. Hamada, H. Malhat, S. Zainud-Deen
{"title":"Graphene Magneto-Electric Antenna on Curved Structures for Millimeter Wave Communications","authors":"A. Ghazi, H. Hamada, H. Malhat, S. Zainud-Deen","doi":"10.1109/JAC-ECC48896.2019.9051340","DOIUrl":"https://doi.org/10.1109/JAC-ECC48896.2019.9051340","url":null,"abstract":"This paper introduces a complete study on the radiation characterstics of magneto-electric (ME) dipole antenna placed on curved surfaces. The ME-dipole antenna consists of graphene sheets printed on silicon oxide substrate and placed on ground plane cavity. The ME-dipole is proximity fed with Γ-strip feed in the cavity centre. Cylinderical and spherical shapes are studied with different radii of curvature. The effect of curvature on the reflection coefficient, gain, axial-ratio, and radiation efficiency is investigated. An array of ME-dipole antenna is designed on cylinderical surfaces and the radiation characterstics is investigated. The antenna structures are fully simulated using the finite integral technique.","PeriodicalId":351812,"journal":{"name":"2019 7th International Japan-Africa Conference on Electronics, Communications, and Computations, (JAC-ECC)","volume":"34 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":"133514291","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}
引用次数: 0
Automated Optimization of Capacitive Feedback Folded Cascode Amplifier Using Precomputed Lookup Tables 使用预先计算查找表的电容反馈折叠级联放大器的自动优化
2019 7th International Japan-Africa Conference on Electronics, Communications, and Computations, (JAC-ECC) Pub Date : 2019-12-01 DOI: 10.1109/JAC-ECC48896.2019.9051014
Ahmed M. Abd El Khalik, H. Omran
{"title":"Automated Optimization of Capacitive Feedback Folded Cascode Amplifier Using Precomputed Lookup Tables","authors":"Ahmed M. Abd El Khalik, H. Omran","doi":"10.1109/JAC-ECC48896.2019.9051014","DOIUrl":"https://doi.org/10.1109/JAC-ECC48896.2019.9051014","url":null,"abstract":"We propose an automated optimization methodology for analog integrated circuit design. The design process is transferred to MATLAB by using precomputed lookup tables and symbolic mathematical expressions. This enables using state-of-the-art optimization algorithms in the design process without invoking the simulator in the loop. A capacitive feedback amplifier that uses a folded cascode operational transconductance amplifier (OTA) is taken as a case study to show different optimization methods and compare them. Pareto-optimal curves of power vs speed for a range of specifications are provided. Compared to Cadence Global Optimization, the proposed methodology achieves 80× shorter execution time and provides better optimization results.","PeriodicalId":351812,"journal":{"name":"2019 7th International Japan-Africa Conference on Electronics, Communications, and Computations, (JAC-ECC)","volume":"16 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":"115540686","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}
引用次数: 1
Congestion-Aware and Energy-Efficient MEC Model with Low Latency for 5G 面向5G低时延的拥塞感知节能MEC模型
2019 7th International Japan-Africa Conference on Electronics, Communications, and Computations, (JAC-ECC) Pub Date : 2019-12-01 DOI: 10.1109/JAC-ECC48896.2019.9051312
Alshimaa H. Ismail, Tarek Abed Soliman, Gerges M. Salama, Nirmeen A. El-Bahnasawy, H. Hamed
{"title":"Congestion-Aware and Energy-Efficient MEC Model with Low Latency for 5G","authors":"Alshimaa H. Ismail, Tarek Abed Soliman, Gerges M. Salama, Nirmeen A. El-Bahnasawy, H. Hamed","doi":"10.1109/JAC-ECC48896.2019.9051312","DOIUrl":"https://doi.org/10.1109/JAC-ECC48896.2019.9051312","url":null,"abstract":"Low latency, energy efficiency, massive connectivity, and high data rate are the main characteristics that academia and industry are seeking for 5 G. The majority of the recent studies were dedicated to solving the delay issue by leveraging the edge computing concept while other studies directed its efforts towards realizing a green cloud by minimizing the energy consumption in the cloud. Multi-access edge computing (MEC) emerged in the past decade as a promising solution for the determined millisecond-scale latency in 5 G networks. In this paper, we present an active queue management-based green cloud model (AGCM), an energy-efficient cloud model to reduce energy waste at both the cloud and mobile devices and the latency by relieving the congestion in the cloud. We also propose a hand-off strategy with MEC to acquire the potential gain and investigate its impact on the cloud's fundamental constraints. We tested our proposed models with simulation showing considerable improvement for the latency, energy consumption, and throughput.","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":"130456638","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}
引用次数: 4
Using Sedentary Activity Classification Model to Illustrate an Adaptable Freelance Workspace* 使用久坐活动分类模型说明适应性自由工作空间*
2019 7th International Japan-Africa Conference on Electronics, Communications, and Computations, (JAC-ECC) Pub Date : 2019-12-01 DOI: 10.1109/JAC-ECC48896.2019.9051183
Hammed Obasekore, Oladayo S. Ajani
{"title":"Using Sedentary Activity Classification Model to Illustrate an Adaptable Freelance Workspace*","authors":"Hammed Obasekore, Oladayo S. Ajani","doi":"10.1109/JAC-ECC48896.2019.9051183","DOIUrl":"https://doi.org/10.1109/JAC-ECC48896.2019.9051183","url":null,"abstract":"Freelancing and remote-work is fast gaining acceptance in the global community, and thus resulting into sedentary behaviours that poses threat to healthy living. Recent studies have shown that several health hazards are related to sedentary behaviors. Specifically, too much sitting is adversely associated with health outcomes, of which includes cardio-metabolic risk biomarkers, type 2 diabetes and premature mortality. In this paper a one dimensional(1D) convolutional neural network based sedentary activity classification model is proposed for classification of sit, stand and sit-stand transitions using sensor data fusion collected with a tri-axial Inertial Measurement Unit (IMU) sensor. Specifically, normalized data from the IMU axes within a specific time window were considered to classify sedentary behaviors (sit, stand and sit-stand transition). The precision of the classification of the three studied sedentary behaviors exceeded 96.8% using IMU data fusion. The applicability of the proposed classification model is extended to a simulated condition of a typical freelancer by modeling an adaptable automated workspace.","PeriodicalId":351812,"journal":{"name":"2019 7th International Japan-Africa Conference on Electronics, Communications, and Computations, (JAC-ECC)","volume":"45 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":"133196909","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}
引用次数: 1
Design of 5G Smart Watch with Millimeter Wave Wearable Antenna 基于毫米波可穿戴天线的5G智能手表设计
2019 7th International Japan-Africa Conference on Electronics, Communications, and Computations, (JAC-ECC) Pub Date : 2019-12-01 DOI: 10.1109/JAC-ECC48896.2019.9051339
M. Ahmed, M. Ahmed
{"title":"Design of 5G Smart Watch with Millimeter Wave Wearable Antenna","authors":"M. Ahmed, M. Ahmed","doi":"10.1109/JAC-ECC48896.2019.9051339","DOIUrl":"https://doi.org/10.1109/JAC-ECC48896.2019.9051339","url":null,"abstract":"this paper focuses on the design of a dual-band millimeter wearable antenna for modern 5G applications to integrate on a smartwatch. The antenna is a planar inverted-2F wearable antenna pasted on Jeans textile material. For the jeans substrate, the dielectric constant εr = 1.78, and loss tangent tan δ= 0.085 which are measured by using two different methods. This antenna is designed to operate at 28 GHz and 38 GHz with gain 1.45dB and 4.85dB, respectively. Moreover, the bending effect is studied. The SAR or the specific absorption ratio is 0.113 and 0.0366 w/kg. The presented antenna is simulated using HFSS from Ansoft and CST 2018.","PeriodicalId":351812,"journal":{"name":"2019 7th International Japan-Africa Conference on Electronics, Communications, and Computations, (JAC-ECC)","volume":"154 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":"131856171","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}
引用次数: 8
Implementation of Human Tracking System under Different Video Degradations 不同视频降级下人体跟踪系统的实现
2019 7th International Japan-Africa Conference on Electronics, Communications, and Computations, (JAC-ECC) Pub Date : 2019-12-01 DOI: 10.1109/JAC-ECC48896.2019.9051215
Ghadir Mostafa Diab, Nada El-shennawy, A. Sarhan
{"title":"Implementation of Human Tracking System under Different Video Degradations","authors":"Ghadir Mostafa Diab, Nada El-shennawy, A. Sarhan","doi":"10.1109/JAC-ECC48896.2019.9051215","DOIUrl":"https://doi.org/10.1109/JAC-ECC48896.2019.9051215","url":null,"abstract":"In this paper, a new strategy for human tracking is proposed to enhance the human detection and tracking in the presence of video degradations using Kalman filter. The average number of assigned tracks (indicating the correct detection and tracking) was calculated. We have measured the human tracking accuracy in the presence of both speckle and salt & pepper video disturbances. Experimental results show that both median and disk filters have targeted the most efficient masking system that easily restore the accurate number of the average detections and predictions.","PeriodicalId":351812,"journal":{"name":"2019 7th International Japan-Africa Conference on Electronics, Communications, and Computations, (JAC-ECC)","volume":"115 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":"133941211","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}
引用次数: 1
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