Pub Date : 2021-12-10DOI: 10.1109/GC-ElecEng52322.2021.9788136
Saeed H. Issa, Qusai W. Al-Makdadi, Mohammad H. Al-Juwhari, Zaid A. Sabbah, Yanal S. Faouri
A simple microstrip monopole antenna designed on a full ground plane is introduced for fifth-generation sub-6 GHz applications. The designed antenna can have both frequency and pattern reconfigurability by changing the location of an ideal diode connecting a circular parasitic element to the main patch. Dual and triple frequency bands can be obtained in terms of frequency diversity and different orientations to the radiation pattern major lobe are achieved. Ten resonant frequencies for the four circular parasitic locations are reported that have different pattern shapes and orientations. The antenna has a peak gain of 5.88 dB at 6.78 GHz and bandwidth ranges from 130–380 MHz.
{"title":"Frequency and Radiation Pattern Reconfigurable Multiband Microstrip Monopole Antenna","authors":"Saeed H. Issa, Qusai W. Al-Makdadi, Mohammad H. Al-Juwhari, Zaid A. Sabbah, Yanal S. Faouri","doi":"10.1109/GC-ElecEng52322.2021.9788136","DOIUrl":"https://doi.org/10.1109/GC-ElecEng52322.2021.9788136","url":null,"abstract":"A simple microstrip monopole antenna designed on a full ground plane is introduced for fifth-generation sub-6 GHz applications. The designed antenna can have both frequency and pattern reconfigurability by changing the location of an ideal diode connecting a circular parasitic element to the main patch. Dual and triple frequency bands can be obtained in terms of frequency diversity and different orientations to the radiation pattern major lobe are achieved. Ten resonant frequencies for the four circular parasitic locations are reported that have different pattern shapes and orientations. The antenna has a peak gain of 5.88 dB at 6.78 GHz and bandwidth ranges from 130–380 MHz.","PeriodicalId":344268,"journal":{"name":"2021 Global Congress on Electrical Engineering (GC-ElecEng)","volume":"37 14","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113941861","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}
Pub Date : 2021-12-10DOI: 10.1109/GC-ElecEng52322.2021.9788150
A. S., G. Arévalo, René Játiva E.
Using ray tracing and based on a set of realistic simulations performed in MATLAB ® and Open Street Maps, this document relates the coverage problem in urban 5G wireless networks with other relevant propagation and signal blockage stochastic models. From a statistical analysis of these results, the main characteristics of shadow fading are extracted and compared. In addition, a review of the current IMT-2020 and 3GPP standards on radio propagation for 5G has been carried out.
本文利用光线追踪技术，基于MATLAB®和Open Street Maps进行的一组真实仿真，将城市5G无线网络中的覆盖问题与其他相关的传播和信号阻塞随机模型联系起来。通过对这些结果的统计分析，提取并比较了阴影衰落的主要特征。此外，还对5G无线电传播的现行IMT-2020和3GPP标准进行了审查。
{"title":"Propagation, blockage and coverage evaluation in 5G urban wireless networks","authors":"A. S., G. Arévalo, René Játiva E.","doi":"10.1109/GC-ElecEng52322.2021.9788150","DOIUrl":"https://doi.org/10.1109/GC-ElecEng52322.2021.9788150","url":null,"abstract":"Using ray tracing and based on a set of realistic simulations performed in MATLAB ® and Open Street Maps, this document relates the coverage problem in urban 5G wireless networks with other relevant propagation and signal blockage stochastic models. From a statistical analysis of these results, the main characteristics of shadow fading are extracted and compared. In addition, a review of the current IMT-2020 and 3GPP standards on radio propagation for 5G has been carried out.","PeriodicalId":344268,"journal":{"name":"2021 Global Congress on Electrical Engineering (GC-ElecEng)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125046091","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}
Pub Date : 2021-12-10DOI: 10.1109/GC-ElecEng52322.2021.9788324
A. Rebai, Kamel GUESMI
This paper deals with the asymptotic stability of fractional order Takagi-Sugeno fuzzy time-varying delay systems. First, asymptotic stability of this class of systems is analyzed. Then, sufficient conditions are obtained using Lyapunov-Krasovskii approach to ensure the asymptotic stability of the closed loop system. Finally, the effectiveness of proposed approach is carried out through numerical simulations.
{"title":"Asymptotic Stabilization of Fractional Order Fuzzy Time-Varying Delay Systems","authors":"A. Rebai, Kamel GUESMI","doi":"10.1109/GC-ElecEng52322.2021.9788324","DOIUrl":"https://doi.org/10.1109/GC-ElecEng52322.2021.9788324","url":null,"abstract":"This paper deals with the asymptotic stability of fractional order Takagi-Sugeno fuzzy time-varying delay systems. First, asymptotic stability of this class of systems is analyzed. Then, sufficient conditions are obtained using Lyapunov-Krasovskii approach to ensure the asymptotic stability of the closed loop system. Finally, the effectiveness of proposed approach is carried out through numerical simulations.","PeriodicalId":344268,"journal":{"name":"2021 Global Congress on Electrical Engineering (GC-ElecEng)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134241005","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}
Pub Date : 2021-12-10DOI: 10.1109/gc-eleceng52322.2021.9788190
Elif Ozen, N. Ozkurt
{"title":"Speech Noise Reduction with Wavelet Transform Domain Adaptive Filters","authors":"Elif Ozen, N. Ozkurt","doi":"10.1109/gc-eleceng52322.2021.9788190","DOIUrl":"https://doi.org/10.1109/gc-eleceng52322.2021.9788190","url":null,"abstract":"","PeriodicalId":344268,"journal":{"name":"2021 Global Congress on Electrical Engineering (GC-ElecEng)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116245668","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}
Pub Date : 2021-12-10DOI: 10.1109/gc-eleceng52322.2021.9788422
{"title":"Appendix 1: GC-ElecEng 2021 Program Summary","authors":"","doi":"10.1109/gc-eleceng52322.2021.9788422","DOIUrl":"https://doi.org/10.1109/gc-eleceng52322.2021.9788422","url":null,"abstract":"","PeriodicalId":344268,"journal":{"name":"2021 Global Congress on Electrical Engineering (GC-ElecEng)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123582625","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}
Pub Date : 2021-12-10DOI: 10.1109/gc-eleceng52322.2021.9788217
{"title":"Appendix 2: GC-ElecEng 2021 Committees","authors":"","doi":"10.1109/gc-eleceng52322.2021.9788217","DOIUrl":"https://doi.org/10.1109/gc-eleceng52322.2021.9788217","url":null,"abstract":"","PeriodicalId":344268,"journal":{"name":"2021 Global Congress on Electrical Engineering (GC-ElecEng)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121058348","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}
Pub Date : 2021-12-10DOI: 10.1109/GC-ElecEng52322.2021.9788358
N. A. Shashoa, A. Abougarair
In this paper, the data filtering based Recursive Least Squares algorithm (RLS) of linear Box-Jenkins systems is proposed for fault detection. The system is decomposed into two subsystems, one containing the parameters of the system model and the other containing the parameters of the noise model, and these parameters of the system model and the noise model are estimated. The model validation is tested using two statistical methods, histogram and mean square errors. The residual is generated based on the proposed algorithm to design the threshold and therefore, this design is used for fault detection. Simulation results are performed to illustrate the algorithm performance.
{"title":"Fault Detection Based on Validated Model of Data Filtering Based Recursive Least Squares Algorithm For Box-Jenkins Systems","authors":"N. A. Shashoa, A. Abougarair","doi":"10.1109/GC-ElecEng52322.2021.9788358","DOIUrl":"https://doi.org/10.1109/GC-ElecEng52322.2021.9788358","url":null,"abstract":"In this paper, the data filtering based Recursive Least Squares algorithm (RLS) of linear Box-Jenkins systems is proposed for fault detection. The system is decomposed into two subsystems, one containing the parameters of the system model and the other containing the parameters of the noise model, and these parameters of the system model and the noise model are estimated. The model validation is tested using two statistical methods, histogram and mean square errors. The residual is generated based on the proposed algorithm to design the threshold and therefore, this design is used for fault detection. Simulation results are performed to illustrate the algorithm performance.","PeriodicalId":344268,"journal":{"name":"2021 Global Congress on Electrical Engineering (GC-ElecEng)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123650385","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}
Pub Date : 2021-12-10DOI: 10.1109/GC-ElecEng52322.2021.9788417
F. S. M. Alkhafaji
This work reports the development of a handling 5 Degree of freedom (DOF) robot arm model for industrial application. The aim is to enhance speed performance by proposed multi techniques started from estimating the transfer function of each manipulated joint, then design controller for each DOF reached to modelling arm motion. It is used SimMechanics and SolidWorks as a tool for structural design and testing motion characteristics. To improve speed performance, it is proposed a high speed proportional integral derivative controller based on an improved Genetic Algorithm by modifying the initialization fitness function to optimize proportional gains. A comparison results between the controlled and uncontrolled systems shows that the proposed controller resulted greatly minimized response time to be measured in the Microsecond unit. Based on trajectory planning, the efficiency of the proposed method is confirmed by motion case studies. The innovative design offering the best solution to increase productivity and accurate performance to perform various tasks such as pick and place and assembly.
{"title":"Modeling and control High speed Robotic Arm for Industrial Applications","authors":"F. S. M. Alkhafaji","doi":"10.1109/GC-ElecEng52322.2021.9788417","DOIUrl":"https://doi.org/10.1109/GC-ElecEng52322.2021.9788417","url":null,"abstract":"This work reports the development of a handling 5 Degree of freedom (DOF) robot arm model for industrial application. The aim is to enhance speed performance by proposed multi techniques started from estimating the transfer function of each manipulated joint, then design controller for each DOF reached to modelling arm motion. It is used SimMechanics and SolidWorks as a tool for structural design and testing motion characteristics. To improve speed performance, it is proposed a high speed proportional integral derivative controller based on an improved Genetic Algorithm by modifying the initialization fitness function to optimize proportional gains. A comparison results between the controlled and uncontrolled systems shows that the proposed controller resulted greatly minimized response time to be measured in the Microsecond unit. Based on trajectory planning, the efficiency of the proposed method is confirmed by motion case studies. The innovative design offering the best solution to increase productivity and accurate performance to perform various tasks such as pick and place and assembly.","PeriodicalId":344268,"journal":{"name":"2021 Global Congress on Electrical Engineering (GC-ElecEng)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133784379","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}
Pub Date : 2021-12-10DOI: 10.1109/GC-ElecEng52322.2021.9788331
E. Abdulhay, P. Gumery, Elise Aitocine
The objective of this paper is to develop a non-invasive robust indicator to the inspiratory effort of a patient under mechanical ventilation. This indicator leads to the inspiratory effort detection as well as to the estimation of its level more reliably and earlier than the classical systems based on flow signal thresholding. Hence, the present work analyses the capability of inspiratory effort level estimation by the observation of the synchronization of the Alae Nasi and the parietal diaphragmatic muscles activations. First, an experimental protocol is suggested to simulate the patient-ventilator coupling. Then, the evolution of muscular activation timing -versus the inspiratory effort level- is studied on acquired ElectroMyoGraphy and flow signals. Finally, a multidimensional clustering approach is applied in order to separate timing features into classes indicating the different effort levels. The results indicate the efficacy of effort level classification in fifty-two respiratory cycles by k-means clustering based on the muscular timing features where weak effort is completely identified separately from strong effort through discrimination of centroid and distance values. The weakness/strength of inspiratory effort is judged by the energy of the parietal activity as well as by the level of expired Co2.
{"title":"K-Means Clustering of Alae Nasi and Diaphragmatic Muscles Activation Timing as an Indicator to Inspiratory Effort Level: a Proof of Concept","authors":"E. Abdulhay, P. Gumery, Elise Aitocine","doi":"10.1109/GC-ElecEng52322.2021.9788331","DOIUrl":"https://doi.org/10.1109/GC-ElecEng52322.2021.9788331","url":null,"abstract":"The objective of this paper is to develop a non-invasive robust indicator to the inspiratory effort of a patient under mechanical ventilation. This indicator leads to the inspiratory effort detection as well as to the estimation of its level more reliably and earlier than the classical systems based on flow signal thresholding. Hence, the present work analyses the capability of inspiratory effort level estimation by the observation of the synchronization of the Alae Nasi and the parietal diaphragmatic muscles activations. First, an experimental protocol is suggested to simulate the patient-ventilator coupling. Then, the evolution of muscular activation timing -versus the inspiratory effort level- is studied on acquired ElectroMyoGraphy and flow signals. Finally, a multidimensional clustering approach is applied in order to separate timing features into classes indicating the different effort levels. The results indicate the efficacy of effort level classification in fifty-two respiratory cycles by k-means clustering based on the muscular timing features where weak effort is completely identified separately from strong effort through discrimination of centroid and distance values. The weakness/strength of inspiratory effort is judged by the energy of the parietal activity as well as by the level of expired Co2.","PeriodicalId":344268,"journal":{"name":"2021 Global Congress on Electrical Engineering (GC-ElecEng)","volume":"82 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123927071","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}
Pub Date : 2021-12-10DOI: 10.1109/GC-ElecEng52322.2021.9788465
Juan Luis Mayor Puyol, V. M. Baeza
The objective of this work is to design a bicycle sharing system, which encourages its use by rewarding good behaviors and respecting traffic rules (signed intersections, traffic lights), with a discount on rental costs. For this, bicycles will have different sensors, which through Internet of Things (IoT) devices will transmit the data of the route during the journey such as position, speed, as well as road safety data, through a Low-Power Wide-Area Network (LPWAN). These data can be used to manage the rental system which will let us know the number of running bicycles, as well as where they are parked. Hence, it will be possible to optimize the management of the service, for example, by checking where bicycles are needed and where they amass. We simulate the air interface by the platform “The Things Network” and IoT Mbed simulator, as well as the communication between end device and application server via The Things Network (TTN) network. The results show an improvement in the mobility in cities through the implementation of technology, and subsequently to enable reducing carbon monoxide emissions.
{"title":"Bicycle Sharing System Using an IoT Network","authors":"Juan Luis Mayor Puyol, V. M. Baeza","doi":"10.1109/GC-ElecEng52322.2021.9788465","DOIUrl":"https://doi.org/10.1109/GC-ElecEng52322.2021.9788465","url":null,"abstract":"The objective of this work is to design a bicycle sharing system, which encourages its use by rewarding good behaviors and respecting traffic rules (signed intersections, traffic lights), with a discount on rental costs. For this, bicycles will have different sensors, which through Internet of Things (IoT) devices will transmit the data of the route during the journey such as position, speed, as well as road safety data, through a Low-Power Wide-Area Network (LPWAN). These data can be used to manage the rental system which will let us know the number of running bicycles, as well as where they are parked. Hence, it will be possible to optimize the management of the service, for example, by checking where bicycles are needed and where they amass. We simulate the air interface by the platform “The Things Network” and IoT Mbed simulator, as well as the communication between end device and application server via The Things Network (TTN) network. The results show an improvement in the mobility in cities through the implementation of technology, and subsequently to enable reducing carbon monoxide emissions.","PeriodicalId":344268,"journal":{"name":"2021 Global Congress on Electrical Engineering (GC-ElecEng)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115814982","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}
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