2016 5th International Conference on Electronic Devices, Systems and Applications (ICEDSA)最新文献

Cloud-based mobile platform for EEG signal analysis 基于云的脑电信号分析移动平台

2016 5th International Conference on Electronic Devices, Systems and Applications (ICEDSA) Pub Date : 2016-12-01 DOI: 10.1109/ICEDSA.2016.7818497

Emir Džaferović, Sabahudin Vrtagic, Lejla Bandic, Jasmin Kevric, A. Subasi, S. Qaisar

引用次数: 12

A modified square patch antenna with improved bandwidth performance for WiFi applications 改进的方形贴片天线，提高了WiFi应用的带宽性能

2016 5th International Conference on Electronic Devices, Systems and Applications (ICEDSA) Pub Date : 2016-12-01 DOI: 10.1109/ICEDSA.2016.7818540

Rida Gadhafi, M. Sanduleanu

引用次数: 6

Halbach array design targeting nuclear magnetic resonance 以核磁共振为目标的哈尔巴赫阵列设计

2016 5th International Conference on Electronic Devices, Systems and Applications (ICEDSA) Pub Date : 2016-12-01 DOI: 10.1109/ICEDSA.2016.7818513

Sunil T. Sonawane, M. Méribout

{"title":"Halbach array design targeting nuclear magnetic resonance","authors":"Sunil T. Sonawane, M. Méribout","doi":"10.1109/ICEDSA.2016.7818513","DOIUrl":"https://doi.org/10.1109/ICEDSA.2016.7818513","url":null,"abstract":"Halbach array is extensively used in process control industry targeting NMR (Nuclear Magnetic Resonance) technology as it has several advantages compared to non Halbach array methods; such as uniform magnetic field, light weight, low cost, and concentrated magnetic field. In this paper, we propose to design and assess a Halbach array targeting NMR application for a flowing multiphase flow process passing through a 2″ pipeline. The design methodology is based on Particle Swarm Optimization (PSO) algorithm, combined with a three dimensional (3D) finite element method-based software. The aim of the design is to generate simultaneously a concentric, uniform, and high intensity magnetic field inside the target sensing area in order to provide the most accurate results, while using a cheap and reasonably light weight hardware. Results of extensive 3D simulation results using an array of 12 permanent magnet elements of size (20mm × 20mm × 50mm size) indicate that an optimized magnetic field distribution of 0.9 Tesla maximal intensity and 606 ppm homogeneity could be achieved for an area of 40 mm diameter, which is adequate for our application.","PeriodicalId":247318,"journal":{"name":"2016 5th International Conference on Electronic Devices, Systems and Applications (ICEDSA)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129362263","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

On the efficient application of compressive sensing of physiological signals in medical diagnostics 生理信号压缩感知在医学诊断中的高效应用

2016 5th International Conference on Electronic Devices, Systems and Applications (ICEDSA) Pub Date : 2016-12-01 DOI: 10.1109/ICEDSA.2016.7818530

Dana Al Akil, R. Shubair

引用次数: 1

A new figure of merit methodology for power amplifier combining technologies 一种新的功放组合技术的品质图方法

2016 5th International Conference on Electronic Devices, Systems and Applications (ICEDSA) Pub Date : 2016-12-01 DOI: 10.1109/ICEDSA.2016.7818493

Paul O. Fisher, S. Al-Sarawi

引用次数: 0

ICA based feature learning and feature selection 基于ICA的特征学习和特征选择

2016 5th International Conference on Electronic Devices, Systems and Applications (ICEDSA) Pub Date : 2016-12-01 DOI: 10.1109/ICEDSA.2016.7818563

M. Ibrahim, Adel Al-Jumaily

{"title":"ICA based feature learning and feature selection","authors":"M. Ibrahim, Adel Al-Jumaily","doi":"10.1109/ICEDSA.2016.7818563","DOIUrl":"https://doi.org/10.1109/ICEDSA.2016.7818563","url":null,"abstract":"Feature extraction is playing a major role in bio signal processing. Feature identification and selection has two approaches. The common approach is engineering handcraft which is based on user experience and application area. While the other approach is feature learning that based on making the system identify and select the best features suit the application. The idea behind feature learning is to avoid dealing with any feature extraction or reduction algorithms and to train the suggested model on learning with avoiding the exposure to feature extraction which is mainly based on researcher experience. In this paper, Independent component analysis (ICA) will be implemented as a feature learning technique to learn the model extract the features from the input data. Deep learning approach will be proposed by implementing ICA to learn features. In the proposed model, the raw data will be read then represented by using different signal representation as Spectrogram, Wavelet and Wavelet Packet. Then, the new represented data will be fed to Independent component analysis layer to generate features and finally, the performance of the suggested scheme will be evaluated by applying different classifiers such as Support Vector Machine, Extreme Learning Machine and Discriminate Analysis. And As an improving step for the results, classifier fusion layer will be implemented to select the most accurate result for both training and testing set. Classifier fusion layer resulted in a promising training and testing accuracies. On the other side, Feature Selection is the process of selecting subset of features from a pool of features.","PeriodicalId":247318,"journal":{"name":"2016 5th International Conference on Electronic Devices, Systems and Applications (ICEDSA)","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115094337","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

A fractional fuzzy PI-PD based modified smith predictor for controlling of FOPDT process 基于分数模糊PI-PD的改进smith预测器用于FOPDT过程控制

2016 5th International Conference on Electronic Devices, Systems and Applications (ICEDSA) Pub Date : 2016-12-01 DOI: 10.1109/ICEDSA.2016.7818488

N. Özbek, I. Eker

引用次数: 4

Estimation of electricity production for a Moroccan wind farm 估算摩洛哥风力发电场的发电量

2016 5th International Conference on Electronic Devices, Systems and Applications (ICEDSA) Pub Date : 2016-12-01 DOI: 10.1109/ICEDSA.2016.7818555

Ijjou Tizgui, H. Bouzahir, Fatima El Guezar, B. Benaid

引用次数: 2

Battery regression for guaranteed k-coverage in distributed sensor networks 分布式传感器网络中保证k覆盖的电池回归

2016 5th International Conference on Electronic Devices, Systems and Applications (ICEDSA) Pub Date : 2016-12-01 DOI: 10.1109/ICEDSA.2016.7818548

Avinash More

{"title":"Battery regression for guaranteed k-coverage in distributed sensor networks","authors":"Avinash More","doi":"10.1109/ICEDSA.2016.7818548","DOIUrl":"https://doi.org/10.1109/ICEDSA.2016.7818548","url":null,"abstract":"In energy-constrain wireless sensor networks, maintaining k — coverage degree requested by an application while maximizing the network lifetime is a major challenge. Existing literature on k — coverage does not consider residual energy levels and actual battery discharge rate of ACTIVE nodes. OBSP (Optimized Backoff Sleep Protocol) considers the residual energy level information and battery discharge rate but ignores the k-coverage degree. This paper proposes k-CGP (k-Coverage Guarantee Protocol) based on battery discharge curve using polynomial regression for different coverage degrees (k). k-CGP determines the optimal wakeup rate of sleeping nodes by computing Optimal Sleep Time derived from battery discharge curve using polynomial regression and Received Signal Strength Indicator for distance estimation. The coverage redundancy is computed by using equi-distance test. Due to this, a sufficient number of ACTIVE nodes could be maintained while achieving lesser energy consumption in the network. Simulation results show that k-CGP achieves higher energy savings and sensing area coverage as compared to PEAS.","PeriodicalId":247318,"journal":{"name":"2016 5th International Conference on Electronic Devices, Systems and Applications (ICEDSA)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125068087","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

Robust BSBL recovery method of physiological signals with application to fetal ECG 生理信号鲁棒BSBL恢复方法及其在胎儿心电中的应用

2016 5th International Conference on Electronic Devices, Systems and Applications (ICEDSA) Pub Date : 2016-12-01 DOI: 10.1109/ICEDSA.2016.7818521

Dana Al Akil, R. Shubair

引用次数: 0