2022 39th National Radio Science Conference (NRSC)最新文献

Spiral Antenna Design Using DCMOEA Algorithm to Solve COPs 用DCMOEA算法求解cop的螺旋天线设计

2022 39th National Radio Science Conference (NRSC) Pub Date : 2022-11-29 DOI: 10.1109/NRSC57219.2022.9971417

Hesham M. Elkady, H. H. Abdullah, S. Darwish

{"title":"Spiral Antenna Design Using DCMOEA Algorithm to Solve COPs","authors":"Hesham M. Elkady, H. H. Abdullah, S. Darwish","doi":"10.1109/NRSC57219.2022.9971417","DOIUrl":"https://doi.org/10.1109/NRSC57219.2022.9971417","url":null,"abstract":"When designing an antenna using optimization techniques, there are many different optimization issues, like single-objective optimization issues, and multi-objective optimization issues. Different optimizers require to be applied to enhance the stabilization and efficiency of the antenna design. While choosing the right set of optimization problems that are suitable for the desired antenna type is a significant issue. Generally, constrained optimization problems (COPs) are suitable for efficient antenna design. The dynamic constrained multi-objective evolutionary algorithm (DCMOEA) is applied to solve the COPs and the antenna design problems. In this paper, the Archimedean spiral antenna design for the CubeSat application is introduced to verify the proposed methods to satisfy the design requirements. The proposed antenna achieved multiband as it covered 3.5 GHz to 4 GHz at S-band, 4.5 GHz,from 5.2 GHz to 6.2 GHz, and from 7.GHz to 8 GHz at C-band, from 8 GHz to 12 GHz at X-band, from 12 GHz to 13.4 GHz , from 14 GHz to 18 GHz at Ku-band, from 18 GHz to 26 GHz at K-band, and from 26 GHz to 27.5 GHz, and at 35.5 GHz at Ka-band. It has a compact size of (98 × 1.86) mm2. The measured results show that the Reference Impedance is 50 ohms, the Axial Ratio is less than 3 dB and the Reflection Coefficient S11 < −10 dB. Additionally, the comparison between simulations and measurements reveal a very well matched condition.","PeriodicalId":156721,"journal":{"name":"2022 39th National Radio Science Conference (NRSC)","volume":"123 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122021383","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

PolSAR Target Decomposition Technique to Estimate Ocean Surface Temperature and Salinity PolSAR目标分解技术估算海洋表面温度和盐度

2022 39th National Radio Science Conference (NRSC) Pub Date : 2022-11-29 DOI: 10.1109/NRSC57219.2022.9971177

Mai Z. Ibrahim, A. I. Bahnacy, K. Hussein, A. E. Farahat

{"title":"PolSAR Target Decomposition Technique to Estimate Ocean Surface Temperature and Salinity","authors":"Mai Z. Ibrahim, A. I. Bahnacy, K. Hussein, A. E. Farahat","doi":"10.1109/NRSC57219.2022.9971177","DOIUrl":"https://doi.org/10.1109/NRSC57219.2022.9971177","url":null,"abstract":"A novel method is proposed to estimate the seawater surface salinity and temperature from the data collected by synthetic aperture radar (SAR) systems of quad-polarimetry (quad-PolSAR). The proposed method requires the knowledge of the curves that characterize the dependence of the complex dielectric constant of the seawater surface on the salinity and temperature at the operating frequency of the PolSAR system. Simulated quad-PolSAR datasets are used to test the proposed method at 1.27 GHz, where the simulation process is described in the paper. The proposed method depends on the theory of SAR target decomposition (TD) with multiple component scattering model (MCSM), where the single-bounce covariance matrix is deduced from the covariance matrix of the quad-PolSAR data representing the backscattering from the seawater surface. The proposed method is applied to the simulated datasets resulting in good accuracy of the estimated values of the seawater permittivity and the corresponding salinity and temperature when compared with the ground-truth values. The effects of the environmental and operational conditions of the PolSAR system on the collected backscattering data are modeled as additive white Gaussian noise (AWGN). The dependence of the accuracy of the estimated seawater parameters on the signal-to-noise ratio (SNR) is investigated and quantitatively assessed.","PeriodicalId":156721,"journal":{"name":"2022 39th National Radio Science Conference (NRSC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129196553","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

A High Gain Planar Antenna for ISM band Wireless Communication Applications 一种用于ISM波段无线通信的高增益平面天线

2022 39th National Radio Science Conference (NRSC) Pub Date : 2022-11-29 DOI: 10.1109/NRSC57219.2022.9971250

Mohammed E. Yassin, Bassam N. Mohammed, N. M. Ali, H. A. Mohamed

引用次数: 0

COVID-19 Detection Using Multimodal and Multi-model Ensemble Based Deep Learning Technique 基于多模态和多模型集成的深度学习技术的COVID-19检测

2022 39th National Radio Science Conference (NRSC) Pub Date : 2022-11-29 DOI: 10.1109/NRSC57219.2022.9971179

G. Fahmy, Emad Abd-Elrahman, M. Zorkany

{"title":"COVID-19 Detection Using Multimodal and Multi-model Ensemble Based Deep Learning Technique","authors":"G. Fahmy, Emad Abd-Elrahman, M. Zorkany","doi":"10.1109/NRSC57219.2022.9971179","DOIUrl":"https://doi.org/10.1109/NRSC57219.2022.9971179","url":null,"abstract":"COVID-19 is a fatal disease that threatens the people’s health worldwide in the last few years. Although the testing techniques for COVID-19 had become more widespread, they still lack the speed and accuracy of disease pattern detection. Thanks to Artificial Intelligence (AI) as it can accelerate the detection process by deep learning techniques that can be used to achieve high performance in COVID-19 identification. Many types of Convolutional Neural Networks (CNN) as the most image classification deep learning techniques are used for automatically diagnosing this disease using X-ray or Computerized Tomography (CT-scan) medical images. The individual CNN types can obtain good results with a specific type of images like X-ray or CT-scan images in a certain dataset but, it could not give the same quality for other types of images or datasets. Through this paper, multiple standards model and custom CNN model have been merged using ensemble method to enhance the overall performance, while the accuracy of each model is a parameter in majority voting. Consequently, the proposed method will started with an initial simple classifier to classify between X-ray image and CT-image then followed by the ensemble model, and lasted by the decision making algorithm. Using different image types like X-ray and CT-scan images from different dataset sources enhance the overall performance as will be cleared in our results. The proposed model has three main parts: Multimodal imaging data, Multi-model based CNN structure, and decision-making diffusion based on the Multi-model output part. The main objective of using multiple models or multiple algorithms in detecting COVID-19 is to decrease the error percentage and increase the validation accuracy. Testing and validation results assure that the performance of the proposed method for COVID-19 chest X-rays and CT-scan images outperforms the individual and classical CNN learners’ design.","PeriodicalId":156721,"journal":{"name":"2022 39th National Radio Science Conference (NRSC)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128349656","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

Microwaves Based Sensors For Non-Invasive Glucose Monitoring 微波传感器用于无创血糖监测

2022 39th National Radio Science Conference (NRSC) Pub Date : 2022-11-29 DOI: 10.1109/NRSC57219.2022.9971266

Enjy Mohamed Salem, D. N. Elsheakh, A. R. Eldamak

引用次数: 0

Hybrid Beamforming for Multi-User Massive MIMO Systems at Millimeter-Wave Networks 毫米波网络中多用户大规模MIMO系统的混合波束形成

2022 39th National Radio Science Conference (NRSC) Pub Date : 2022-11-29 DOI: 10.1109/NRSC57219.2022.9971273

Mohammed A. Alqaisei, A. Sheta, I. Elshafiey

引用次数: 1

Performance of Substrate Integrated Gap Waveguide Leaky-Wave Antenna on a Curved Structure 弯曲结构上衬底集成缝隙波导漏波天线的性能

2022 39th National Radio Science Conference (NRSC) Pub Date : 2022-11-29 DOI: 10.1109/NRSC57219.2022.9971232

Mohamed A. Asal, Hend A. Malhart, S. Zainud-Deen, S. M. Gaber

引用次数: 0

Design of Metamaterial Microwave Absorbers Array for Radar Cross-Section Reduction (RCSR) 用于雷达减截面的超材料微波吸收器阵列设计

2022 39th National Radio Science Conference (NRSC) Pub Date : 2022-11-29 DOI: 10.1109/NRSC57219.2022.9971341

Abdelaziz A. Abdelaziz, A. Shohdy, S. Mohammed, A. Montaser

引用次数: 0

Performance Analysis of Indoor Visible Light Communication System with Multiple LED-Sources 多led光源室内可见光通信系统性能分析

2022 39th National Radio Science Conference (NRSC) Pub Date : 2022-11-29 DOI: 10.1109/NRSC57219.2022.9971403

Walid M. Fahmi, A. E. Farahat, K. Hussein, A. Ammar

{"title":"Performance Analysis of Indoor Visible Light Communication System with Multiple LED-Sources","authors":"Walid M. Fahmi, A. E. Farahat, K. Hussein, A. Ammar","doi":"10.1109/NRSC57219.2022.9971403","DOIUrl":"https://doi.org/10.1109/NRSC57219.2022.9971403","url":null,"abstract":"The present paper is concerned with quantitative analysis of the effect of employing multiple LED sources on the performance of indoor visible light communication (VLC) systems. The analysis is based on the evaluation of the received signal distortion caused by the varying propagation delays of the same signal transmitted by multiple LED sources distributed on the room ceiling. Under the assumption of employing light intensity modulation or, equivalently, on-off-keying (OOK), the employment of multiple LED sources for simultaneous transmission of the same signal results in two types of distortion of the received signal. These are the slow rising and the delay spread of the received square pulse (bit), which results in intersymbol interference (ISI) that affects the performance of indoor VLC. The present work proposes a new mathematical method to obtain an exact analytic expression for the impulse response of the indoor VLC channel with multiple LED sources at the location of the receiver. This impulse response can be used to calculate the signal strength, the received signal distortion, the ISI, the resulting signal-to-ISI ratio (SISIR), and the corresponding bit-error-rate (BER) at the mobile unit location. The numerical results show that a maximum BER of 1 × 10−5 over the room area can be achieved. Also, the present work arrives at important recommendations for the VLC system design regarding the number of LED sources, their distribution on the room ceiling, and their optimal Lambert index to get comfortable illumination and, in the same time, to enhance the VLC system performance. These recommendations are based on complete quantitative assessment of the room illumination and VLC system performance metrics.","PeriodicalId":156721,"journal":{"name":"2022 39th National Radio Science Conference (NRSC)","volume":"101 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128592698","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

Investigation and Implementation of Low Side Lobe Slotted SIW Antenna Array 低旁瓣开槽SIW天线阵列的研究与实现

2022 39th National Radio Science Conference (NRSC) Pub Date : 2022-11-29 DOI: 10.1109/NRSC57219.2022.9971228

A. Miligy, Assem H. Elfeky, Alaa M. Eid, H. N. Kheirallah, M. Rizk

引用次数: 0