Pub Date : 2021-07-27DOI: 10.1109/NRSC52299.2021.9509812
R. Eid, Ayman Elboushi, M. Hindy
In this paper, an enhanced 5G millimeter-wave (mmW) wideband monopole antenna is shown. The proposed design antenna covers broadband of 5G frequencies (upper band) extends from 20 to more than 40 GHz. The antenna design consists of a monopole radiator with multiple stubs backed by a partial ground plane. The antenna is realized by Appling photolithographic procedure. The antenna has stable radiation characteristics through the operating band. A Maximum realized gain of 5.1 dBi is achieved at 28 GHz. The proposed antenna shows very good agreement between both the simulated and the practical results.
{"title":"Wideband Monopole Antenna with Multiple Stub Resonators for 5G Applications","authors":"R. Eid, Ayman Elboushi, M. Hindy","doi":"10.1109/NRSC52299.2021.9509812","DOIUrl":"https://doi.org/10.1109/NRSC52299.2021.9509812","url":null,"abstract":"In this paper, an enhanced 5G millimeter-wave (mmW) wideband monopole antenna is shown. The proposed design antenna covers broadband of 5G frequencies (upper band) extends from 20 to more than 40 GHz. The antenna design consists of a monopole radiator with multiple stubs backed by a partial ground plane. The antenna is realized by Appling photolithographic procedure. The antenna has stable radiation characteristics through the operating band. A Maximum realized gain of 5.1 dBi is achieved at 28 GHz. The proposed antenna shows very good agreement between both the simulated and the practical results.","PeriodicalId":231431,"journal":{"name":"2021 38th National Radio Science Conference (NRSC)","volume":"85 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126933899","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 : 2021-07-27DOI: 10.1109/nrsc52299.2021.9509834
{"title":"[Front matter]","authors":"","doi":"10.1109/nrsc52299.2021.9509834","DOIUrl":"https://doi.org/10.1109/nrsc52299.2021.9509834","url":null,"abstract":"","PeriodicalId":231431,"journal":{"name":"2021 38th National Radio Science Conference (NRSC)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116225426","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 : 2021-07-27DOI: 10.1109/NRSC52299.2021.9509831
A. Arafa, M. Radad, M. Badawy, Nawal El - Fishawy
Cancer is a serious disease and is considered one of the causes of death. Making it worse, many cancers are diagnosed too late. Early, diagnosis of cancer helps in taking correct steps towards treatment. This paper introduces a machine learning model to diagnose and classify different types of cancer. This model is implemented based on regularized logistic regression. The regularization techniques L1, L2 and Elastic Net are evaluated where L2 outperformed other techniques. Also, the proposed model is optimized using Stochastic Gradient Descent (SGD) and Averaged Stochastic Gradient Descent (ASGD) where ASGD outperformed SGD. The results showed that the model with best performance is obtained with L2 regularization when optimized with ASGD. The best model performance is evaluated using cross validation yielding 99.6%, 90.27% and 98.08% test accuracy for Ovarian, Colon and WBCD data sets respectively.
{"title":"Regularized Logistic Regression Model for Cancer Classification","authors":"A. Arafa, M. Radad, M. Badawy, Nawal El - Fishawy","doi":"10.1109/NRSC52299.2021.9509831","DOIUrl":"https://doi.org/10.1109/NRSC52299.2021.9509831","url":null,"abstract":"Cancer is a serious disease and is considered one of the causes of death. Making it worse, many cancers are diagnosed too late. Early, diagnosis of cancer helps in taking correct steps towards treatment. This paper introduces a machine learning model to diagnose and classify different types of cancer. This model is implemented based on regularized logistic regression. The regularization techniques L1, L2 and Elastic Net are evaluated where L2 outperformed other techniques. Also, the proposed model is optimized using Stochastic Gradient Descent (SGD) and Averaged Stochastic Gradient Descent (ASGD) where ASGD outperformed SGD. The results showed that the model with best performance is obtained with L2 regularization when optimized with ASGD. The best model performance is evaluated using cross validation yielding 99.6%, 90.27% and 98.08% test accuracy for Ovarian, Colon and WBCD data sets respectively.","PeriodicalId":231431,"journal":{"name":"2021 38th National Radio Science Conference (NRSC)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115269120","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 : 2021-07-27DOI: 10.1109/NRSC52299.2021.9509828
Mohamed Elnoby Awad, A. El-Garhy, M. Eldosoky, A. Soliman
The respiratory system is one of the complicated systems in the human body. In this paper, the mathematical model for the respiratory system was proposed based on the electro-acoustic bio-impedance analysis with huge number of equations. Further, the behavior of each generation from 24 generations of the respiratory system can be analyzed separately. Furthermore, the pressure with ventilated frequency from 1–1200 min−1 at any generation can be predicted and calculated. The proposed mathematical model was validated by comparison the results with the published results. The simulated results for ARDS disease are presented. Also, the comparison between normal case (healthy) and ARDS diseased case is presented. The proposed mathematical model with huge number of equations is implemented by Matlab program package. This proposed mathematical model can be used as a reversed problem solution to detect and diagnose the medical situation of the respiratory system for patients especially patients associated with COVID-19.
{"title":"Modeling and Simulation of Respiratory System for Acute Respiratory Distress Syndrome (ARDS) Associated with COVID-19","authors":"Mohamed Elnoby Awad, A. El-Garhy, M. Eldosoky, A. Soliman","doi":"10.1109/NRSC52299.2021.9509828","DOIUrl":"https://doi.org/10.1109/NRSC52299.2021.9509828","url":null,"abstract":"The respiratory system is one of the complicated systems in the human body. In this paper, the mathematical model for the respiratory system was proposed based on the electro-acoustic bio-impedance analysis with huge number of equations. Further, the behavior of each generation from 24 generations of the respiratory system can be analyzed separately. Furthermore, the pressure with ventilated frequency from 1–1200 min−1 at any generation can be predicted and calculated. The proposed mathematical model was validated by comparison the results with the published results. The simulated results for ARDS disease are presented. Also, the comparison between normal case (healthy) and ARDS diseased case is presented. The proposed mathematical model with huge number of equations is implemented by Matlab program package. This proposed mathematical model can be used as a reversed problem solution to detect and diagnose the medical situation of the respiratory system for patients especially patients associated with COVID-19.","PeriodicalId":231431,"journal":{"name":"2021 38th National Radio Science Conference (NRSC)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114282700","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 : 2021-07-27DOI: 10.1109/NRSC52299.2021.9509822
Abdelkarim S. Elhenawy, N. A. Al-Shalaby, S. Zainud-Deen, H. Malhat
This paper introduces electronic beam scanning 2D leaky-wave antenna (LWA) based on reconfigurable conductivity of the plasma. The antenna consists of a fixed number (112) of Plexiglass semi-elliptical grating filled with a noble gas printed on a grounded dielectric substrate. A coplanar fed Yagi-like dipole printed antenna is integrated with the LWA to launch a cylindrical exciting wave. By controlling the periodicity of ionized/non-ionized plasma gratings, the radiated beam direction, gain and side lobe level (SLL) can be controlled. The antenna has a compact structure of 241 × 262.5 × 2.67 mm3. The effect of curvature of semi-elliptical grating on the LWA operation is investigated. A fan-shaped beam is obtained from semi-elliptical grating LWA with different aspect-ratio. The semi-circular grating introduces a pencil beam with 23 dBi and bandwidth (BW) of 1.52 GHz. The effect of ON/OFF plasma periodicity and codes is investigated. At fixed frequency, the beam is electronically scanned from −28° to 34° with a gain of 23 dBi for different periodicity. For fixed periodicity, P=8, the beam is scanned from 8° to 23° with high gain of 20.3 dBi. Using the proposed semi-circular grating LWA, the beam direction is controlled without changing the physical structure of the antenna.
{"title":"Reconfigurable Plasma 2D Circles Leaky Wave Antenna","authors":"Abdelkarim S. Elhenawy, N. A. Al-Shalaby, S. Zainud-Deen, H. Malhat","doi":"10.1109/NRSC52299.2021.9509822","DOIUrl":"https://doi.org/10.1109/NRSC52299.2021.9509822","url":null,"abstract":"This paper introduces electronic beam scanning 2D leaky-wave antenna (LWA) based on reconfigurable conductivity of the plasma. The antenna consists of a fixed number (112) of Plexiglass semi-elliptical grating filled with a noble gas printed on a grounded dielectric substrate. A coplanar fed Yagi-like dipole printed antenna is integrated with the LWA to launch a cylindrical exciting wave. By controlling the periodicity of ionized/non-ionized plasma gratings, the radiated beam direction, gain and side lobe level (SLL) can be controlled. The antenna has a compact structure of 241 × 262.5 × 2.67 mm3. The effect of curvature of semi-elliptical grating on the LWA operation is investigated. A fan-shaped beam is obtained from semi-elliptical grating LWA with different aspect-ratio. The semi-circular grating introduces a pencil beam with 23 dBi and bandwidth (BW) of 1.52 GHz. The effect of ON/OFF plasma periodicity and codes is investigated. At fixed frequency, the beam is electronically scanned from −28° to 34° with a gain of 23 dBi for different periodicity. For fixed periodicity, P=8, the beam is scanned from 8° to 23° with high gain of 20.3 dBi. Using the proposed semi-circular grating LWA, the beam direction is controlled without changing the physical structure of the antenna.","PeriodicalId":231431,"journal":{"name":"2021 38th National Radio Science Conference (NRSC)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123205232","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 : 2021-07-27DOI: 10.1109/NRSC52299.2021.9509783
Sameh Mostafa, A. Zekry, A. Youssef, W. Anis
This paper introduces a comparative analysis between three different controllers on a 9.2 kW grid-connected system. This system is designed using the Simulink to test the proposed controllers under the practical operating conditions for a household-sized photovoltaic system. The current study compares between three controllers (PI, Fuzzy and Fuzzy-PI) and attempts to choose the optimal controller for improving the performance of the grid-connected inverter control. The study concludes that the Fuzzy-PI controller outperforms the other ones regarding the performance parameters in terms of total harmonic distortion, dynamic response, settling time, and overshoot. This is attributed to the fact that the Fuzzy-PI changes the values of the gains (KI and KP) based on the variations in temperature and irradiance.
{"title":"Average Household Grid Connected PV Generator with Different Intelligent Controllers","authors":"Sameh Mostafa, A. Zekry, A. Youssef, W. Anis","doi":"10.1109/NRSC52299.2021.9509783","DOIUrl":"https://doi.org/10.1109/NRSC52299.2021.9509783","url":null,"abstract":"This paper introduces a comparative analysis between three different controllers on a 9.2 kW grid-connected system. This system is designed using the Simulink to test the proposed controllers under the practical operating conditions for a household-sized photovoltaic system. The current study compares between three controllers (PI, Fuzzy and Fuzzy-PI) and attempts to choose the optimal controller for improving the performance of the grid-connected inverter control. The study concludes that the Fuzzy-PI controller outperforms the other ones regarding the performance parameters in terms of total harmonic distortion, dynamic response, settling time, and overshoot. This is attributed to the fact that the Fuzzy-PI changes the values of the gains (KI and KP) based on the variations in temperature and irradiance.","PeriodicalId":231431,"journal":{"name":"2021 38th National Radio Science Conference (NRSC)","volume":"104 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124817801","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 : 2021-07-27DOI: 10.1109/NRSC52299.2021.9509782
Muhamed F. Allam, H. Omran, S. Ibrahim
This paper presents a fast-switching phase-interpolator (PI) operating at 5-GHz with superior linearity. The PI is designed for high bandwidth clock and data recovery (CDR) to enable high jitter-tolerance (JTOL) in serial-link applications. It is based on a current-switching topology to enable a high phase-update rate. It also employs an adaptive regenerative amplifier (ARA) to prevent amplitude-dependent delays. This PI consists of cascaded trigonometric phase-interpolator (TPI) and linear phase-interpolator (LPI) stages together with cross-coupled devices load to immensely enhance its linearity, enabling an 8-bit resolution with an integral nonlinearity (INL) of 0.5 LSB and differential nonlinearity (DNL) of 0.15 LSB. The PI is implemented in 65-nm CMOS technology, operating under a 1.2 V supply with a current consumption of 26mA.
{"title":"A Novel Fast-Switching 5-GHz Phase-Interpolator with Superior Linearity in 65-nm CMOS Technology","authors":"Muhamed F. Allam, H. Omran, S. Ibrahim","doi":"10.1109/NRSC52299.2021.9509782","DOIUrl":"https://doi.org/10.1109/NRSC52299.2021.9509782","url":null,"abstract":"This paper presents a fast-switching phase-interpolator (PI) operating at 5-GHz with superior linearity. The PI is designed for high bandwidth clock and data recovery (CDR) to enable high jitter-tolerance (JTOL) in serial-link applications. It is based on a current-switching topology to enable a high phase-update rate. It also employs an adaptive regenerative amplifier (ARA) to prevent amplitude-dependent delays. This PI consists of cascaded trigonometric phase-interpolator (TPI) and linear phase-interpolator (LPI) stages together with cross-coupled devices load to immensely enhance its linearity, enabling an 8-bit resolution with an integral nonlinearity (INL) of 0.5 LSB and differential nonlinearity (DNL) of 0.15 LSB. The PI is implemented in 65-nm CMOS technology, operating under a 1.2 V supply with a current consumption of 26mA.","PeriodicalId":231431,"journal":{"name":"2021 38th National Radio Science Conference (NRSC)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127250068","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 : 2021-07-27DOI: 10.1109/NRSC52299.2021.9509824
H. El-Hemaily, S. Zainud-Deen, H. Malhat, H. A. Hamed, A. Abdelmonem
This paper proposes and analyses the application of ridge-gap waveguide (RGWG) substrate for enhancing the hemispherical dielectric resonator antenna (HDRA) performance. The RGWG introduces band gap behaviour in the frequency band from 45 to 92 GHz and the HDRA is operated at 60 GHz that is within the bandgap of the RGWG. HDRA is combined with the RGWG substrate by crossed slots, one of these slots is rotated by 45° in clockwise to achieve left-hand CP, and the other is rotated by 135° in anticlockwise direction to achieve right-hand CP. For switching between the crossed slots, graphene material is used. The HDRA design has 0.98 GHz CP bandwidth and 7dBi gain when using single element HDRA structure. To improve the gain and the axial ratio, 2×1 HDRA element is used to enhance the gain and CP bandwidth to 8.31dBi and 1.2GHz respectively.
{"title":"Circularly Polarized Hemispherical Dielectric Resonator Antenna with Graphene slots","authors":"H. El-Hemaily, S. Zainud-Deen, H. Malhat, H. A. Hamed, A. Abdelmonem","doi":"10.1109/NRSC52299.2021.9509824","DOIUrl":"https://doi.org/10.1109/NRSC52299.2021.9509824","url":null,"abstract":"This paper proposes and analyses the application of ridge-gap waveguide (RGWG) substrate for enhancing the hemispherical dielectric resonator antenna (HDRA) performance. The RGWG introduces band gap behaviour in the frequency band from 45 to 92 GHz and the HDRA is operated at 60 GHz that is within the bandgap of the RGWG. HDRA is combined with the RGWG substrate by crossed slots, one of these slots is rotated by 45° in clockwise to achieve left-hand CP, and the other is rotated by 135° in anticlockwise direction to achieve right-hand CP. For switching between the crossed slots, graphene material is used. The HDRA design has 0.98 GHz CP bandwidth and 7dBi gain when using single element HDRA structure. To improve the gain and the axial ratio, 2×1 HDRA element is used to enhance the gain and CP bandwidth to 8.31dBi and 1.2GHz respectively.","PeriodicalId":231431,"journal":{"name":"2021 38th National Radio Science Conference (NRSC)","volume":"96 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132880837","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 : 2021-07-27DOI: 10.1109/NRSC52299.2021.9509815
Amr S. Hares, Mohamed M. Abdallah, Mohamed A. Abohassan, Doaa A. Altantawy
Recently, deep learning (DL) has been successfully applied in physical-layer communications and shown great success and competitive results to conventional systems. In this paper, we propose a novel recurrent neural network (RNN)-based communication system, based on the autoencoder concept. We develop a structure to mimic the working principle of a pilot-aided equalizer and integrate it as a learnable part of the system to support the task of channel estimation and equalization. The system shows competitive results under flat and frequency selective fading channels. The model can be trained to deal with any predefined number of channel taps (multipath components) of specific strengths. The system can also be generalized to deal with arbitrary strengths of the taps, which was infeasible in previous deep learning-based communication systems due to the absence of a guiding pilot. We assess the system performance for various alphabet and encoding sizes showing the BLER vs EBNO and the learned constellations.
{"title":"Recurrent Neural Networks for Pilot-aided Wireless Communications","authors":"Amr S. Hares, Mohamed M. Abdallah, Mohamed A. Abohassan, Doaa A. Altantawy","doi":"10.1109/NRSC52299.2021.9509815","DOIUrl":"https://doi.org/10.1109/NRSC52299.2021.9509815","url":null,"abstract":"Recently, deep learning (DL) has been successfully applied in physical-layer communications and shown great success and competitive results to conventional systems. In this paper, we propose a novel recurrent neural network (RNN)-based communication system, based on the autoencoder concept. We develop a structure to mimic the working principle of a pilot-aided equalizer and integrate it as a learnable part of the system to support the task of channel estimation and equalization. The system shows competitive results under flat and frequency selective fading channels. The model can be trained to deal with any predefined number of channel taps (multipath components) of specific strengths. The system can also be generalized to deal with arbitrary strengths of the taps, which was infeasible in previous deep learning-based communication systems due to the absence of a guiding pilot. We assess the system performance for various alphabet and encoding sizes showing the BLER vs EBNO and the learned constellations.","PeriodicalId":231431,"journal":{"name":"2021 38th National Radio Science Conference (NRSC)","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124420563","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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