Pub Date : 2019-02-01DOI: 10.1109/ITCE.2019.8646561
E. Maher, A. El-Mahdy
The spectrum insufficiency has become a major problem in wireless communication systems due to increasing the demand on broadband applications. Heterogeneous macro-small cell network, Device-to-device (D2D) communications, and multiple-input multiple-output (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 communications, sharing the same resource of the cellular network, causes co-channel interference. Two precoding selection methods 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.
{"title":"Cross-tier Interference Reduction in MIMO Heterogeneous Network with Imperfect CSI","authors":"E. Maher, A. El-Mahdy","doi":"10.1109/ITCE.2019.8646561","DOIUrl":"https://doi.org/10.1109/ITCE.2019.8646561","url":null,"abstract":"The spectrum insufficiency has become a major problem in wireless communication systems due to increasing the demand on broadband applications. Heterogeneous macro-small cell network, Device-to-device (D2D) communications, and multiple-input multiple-output (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 communications, sharing the same resource of the cellular network, causes co-channel interference. Two precoding selection methods 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.","PeriodicalId":391488,"journal":{"name":"2019 International Conference on Innovative Trends in Computer Engineering (ITCE)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125769654","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 : 2019-02-01DOI: 10.1109/ITCE.2019.8646540
Esraa Elhariri, S. Taie
Monitoring indoor environmental quality is an essential aspect for resident comfort and preserving the indoor materials quality. Environmental quality affected by large continuous 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.
{"title":"H-Ahead Multivariate microclimate Forecasting System Based on Deep Learning","authors":"Esraa Elhariri, S. Taie","doi":"10.1109/ITCE.2019.8646540","DOIUrl":"https://doi.org/10.1109/ITCE.2019.8646540","url":null,"abstract":"Monitoring indoor environmental quality is an essential aspect for resident comfort and preserving the indoor materials quality. Environmental quality affected by large continuous 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.","PeriodicalId":391488,"journal":{"name":"2019 International Conference on Innovative Trends in Computer Engineering (ITCE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131240139","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 : 2019-02-01DOI: 10.1109/ITCE.2019.8646399
A. Elmelegi, M. Aly, E. Ahmed
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.
{"title":"Developing Phase-Shift PWM-Based Distributed MPPT Technique for Photovoltaic Systems","authors":"A. Elmelegi, M. Aly, E. Ahmed","doi":"10.1109/ITCE.2019.8646399","DOIUrl":"https://doi.org/10.1109/ITCE.2019.8646399","url":null,"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.","PeriodicalId":391488,"journal":{"name":"2019 International Conference on Innovative Trends in Computer Engineering (ITCE)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131268212","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 : 2019-02-01DOI: 10.1109/ITCE.2019.8646604
Mohammed S. Hussein, Mohamed Hanafy, T. Mahmoud
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-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.
{"title":"Characterization of the sources of degradation in remote sensing satellite images","authors":"Mohammed S. Hussein, Mohamed Hanafy, T. Mahmoud","doi":"10.1109/ITCE.2019.8646604","DOIUrl":"https://doi.org/10.1109/ITCE.2019.8646604","url":null,"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-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.","PeriodicalId":391488,"journal":{"name":"2019 International Conference on Innovative Trends in Computer Engineering (ITCE)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114557403","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 : 2019-02-01DOI: 10.1109/ITCE.2019.8646325
A. Mohamed, A. Agamy
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.
{"title":"Effect of Application Types on the Performance of WiFi Networks","authors":"A. Mohamed, A. Agamy","doi":"10.1109/ITCE.2019.8646325","DOIUrl":"https://doi.org/10.1109/ITCE.2019.8646325","url":null,"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.","PeriodicalId":391488,"journal":{"name":"2019 International Conference on Innovative Trends in Computer Engineering (ITCE)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115040449","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 : 2019-02-01DOI: 10.1109/ITCE.2019.8646538
Ahmed A. Naguib, W. Saad, M. Shokair
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 battery-powered nodes.
M2M(机器对机器)网络规划面临的主要问题之一是电池驱动节点的能量消耗。MTC(机器类型通信)是通过无线网络实现机器节点的通信，以实现IoT(物联网)技术。预计在未来几年内，这项技术的大量使用将产生一个基站服务的大量机器节点。需要一种多址技术，以高效节能的方式管理如此庞大数量的节点与基站之间的同时通信，是一个迫切需要解决的问题。本文设计了一种基于ML-CSMA (Multi-Layer Carrier Sense Multiple Access)概念的可扩展混合节能MAC协议，该协议在降低系统吞吐量的同时提高了能耗。提出的协议增加了电池供电节点的寿命。
{"title":"Remaining Energy Aware ML-CSMA/TDMA Hybrid MAC Protocol for LTE-M2M Wireless Network","authors":"Ahmed A. Naguib, W. Saad, M. Shokair","doi":"10.1109/ITCE.2019.8646538","DOIUrl":"https://doi.org/10.1109/ITCE.2019.8646538","url":null,"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 battery-powered nodes.","PeriodicalId":391488,"journal":{"name":"2019 International Conference on Innovative Trends in Computer Engineering (ITCE)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125842659","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 : 2019-02-01DOI: 10.1109/ITCE.2019.8646363
A. Barakat, R. El-Sehiemy, Mohamed I. Elsayd, E. Osman
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.
{"title":"An Enhanced Jaya Optimization Algorithm (EJOA) for Solving Multi-Objective ORPD Problem","authors":"A. Barakat, R. El-Sehiemy, Mohamed I. Elsayd, E. Osman","doi":"10.1109/ITCE.2019.8646363","DOIUrl":"https://doi.org/10.1109/ITCE.2019.8646363","url":null,"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.","PeriodicalId":391488,"journal":{"name":"2019 International Conference on Innovative Trends in Computer Engineering (ITCE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129945530","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 : 2019-02-01DOI: 10.1109/ITCE.2019.8646537
Ahmed Korashy, S. Kamel, Abdel‐Raheem Youssef, F. Jurado
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.
{"title":"Most Valuable Player Algorithm for Solving Direction Overcurrent Relays Coordination Problem","authors":"Ahmed Korashy, S. Kamel, Abdel‐Raheem Youssef, F. Jurado","doi":"10.1109/ITCE.2019.8646537","DOIUrl":"https://doi.org/10.1109/ITCE.2019.8646537","url":null,"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.","PeriodicalId":391488,"journal":{"name":"2019 International Conference on Innovative Trends in Computer Engineering (ITCE)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130127983","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 : 2019-02-01DOI: 10.1109/ITCE.2019.8646449
Samir A. Elsagheer Mohamed
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.
{"title":"Automatic Traffic Violation Recording and Reporting System to Limit Traffic Accidents : Based on Vehicular Ad-hoc Networks (VANET)","authors":"Samir A. Elsagheer Mohamed","doi":"10.1109/ITCE.2019.8646449","DOIUrl":"https://doi.org/10.1109/ITCE.2019.8646449","url":null,"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.","PeriodicalId":391488,"journal":{"name":"2019 International Conference on Innovative Trends in Computer Engineering (ITCE)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125172755","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 : 2019-02-01DOI: 10.1109/ITCE.2019.8646616
Passant k. Abbassi, N. Badra, A. Allam, A. El-Rafei
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 back-propagation 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.
{"title":"WiFi Antenna Design and Modeling using Artificial Neural Networks","authors":"Passant k. Abbassi, N. Badra, A. Allam, A. El-Rafei","doi":"10.1109/ITCE.2019.8646616","DOIUrl":"https://doi.org/10.1109/ITCE.2019.8646616","url":null,"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 back-propagation 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.","PeriodicalId":391488,"journal":{"name":"2019 International Conference on Innovative Trends in Computer Engineering (ITCE)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125190111","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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