Pub Date : 2022-10-20DOI: 10.1109/ATC55345.2022.9942970
Truong Giang Vu, Nursultan Makhanov, Nguyen Anh Tu, Kok-Seng Wong
The rising advancement in deep learning (DL) techniques has enabled machine learning (ML) models to assist practitioners in performing medical tasks with high accuracy. However, it also poses privacy concerns regarding how such models will proceed with medical data containing protected patient health information. Therefore, some efforts have been made to anonymize medical data to preserve data privacy while keeping the model performance high enough to avoid wrong decisions in the medical field. Nevertheless, the adversary can develop an ML model to re-identify a patient's identity by matching an arbitrary chest X-ray image with a public or leaked image dataset with high accuracy. This paper aims to find a trade-off between our privacy protection method and data utility for medical images. Specifically, we propose a solution to anonymize chest X-ray images by directly adding noise to the images to prevent verification attacks and evaluate how well those images can maintain good performance in the lung disease classification task. Simulation results on real-world datasets show that the proposed solution achieved a good trade-off between privacy protection and data utility.
{"title":"On the Trade-off Between Privacy Protection and Data Utility for Chest X-ray Images","authors":"Truong Giang Vu, Nursultan Makhanov, Nguyen Anh Tu, Kok-Seng Wong","doi":"10.1109/ATC55345.2022.9942970","DOIUrl":"https://doi.org/10.1109/ATC55345.2022.9942970","url":null,"abstract":"The rising advancement in deep learning (DL) techniques has enabled machine learning (ML) models to assist practitioners in performing medical tasks with high accuracy. However, it also poses privacy concerns regarding how such models will proceed with medical data containing protected patient health information. Therefore, some efforts have been made to anonymize medical data to preserve data privacy while keeping the model performance high enough to avoid wrong decisions in the medical field. Nevertheless, the adversary can develop an ML model to re-identify a patient's identity by matching an arbitrary chest X-ray image with a public or leaked image dataset with high accuracy. This paper aims to find a trade-off between our privacy protection method and data utility for medical images. Specifically, we propose a solution to anonymize chest X-ray images by directly adding noise to the images to prevent verification attacks and evaluate how well those images can maintain good performance in the lung disease classification task. Simulation results on real-world datasets show that the proposed solution achieved a good trade-off between privacy protection and data utility.","PeriodicalId":135827,"journal":{"name":"2022 International Conference on Advanced Technologies for Communications (ATC)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114640545","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 : 2022-10-20DOI: 10.1109/ATC55345.2022.9942964
Huy Hoang Nguyen, Ba Luan Dang, Hoang Phuong Dam, Quang Hieu Dang, Duc Minh Nguyen, Viet Anh Vo
Sleeping posture recognition plays a vital role in various clinical applications. Many studies show that pressure sensor-based solutions work well for assessing in-bed positions. In recent years, Neuromorphic Computing has attracted many researchers' attention due to its advantage of energy efficiency. Surprisingly, the applications of Neuromorphic Computing in sleeping posture classification have been still lacking. This study proposed a novel approach that combines a preprocessing technique and an ensemble model based on a neuromorphic computing architecture called RANC. Experimental results confirm that our proposed method can gain 99.99% and 92.4% accuracy in the Leave-One-Subject-Out (LOSO) validation for 3 and 17 sleeping postures, respectively. This result greatly surpasses the previous SNN-based sleeping posture classification method.
{"title":"A novel implementation of sleeping posture classification using RANC ecosystem","authors":"Huy Hoang Nguyen, Ba Luan Dang, Hoang Phuong Dam, Quang Hieu Dang, Duc Minh Nguyen, Viet Anh Vo","doi":"10.1109/ATC55345.2022.9942964","DOIUrl":"https://doi.org/10.1109/ATC55345.2022.9942964","url":null,"abstract":"Sleeping posture recognition plays a vital role in various clinical applications. Many studies show that pressure sensor-based solutions work well for assessing in-bed positions. In recent years, Neuromorphic Computing has attracted many researchers' attention due to its advantage of energy efficiency. Surprisingly, the applications of Neuromorphic Computing in sleeping posture classification have been still lacking. This study proposed a novel approach that combines a preprocessing technique and an ensemble model based on a neuromorphic computing architecture called RANC. Experimental results confirm that our proposed method can gain 99.99% and 92.4% accuracy in the Leave-One-Subject-Out (LOSO) validation for 3 and 17 sleeping postures, respectively. This result greatly surpasses the previous SNN-based sleeping posture classification method.","PeriodicalId":135827,"journal":{"name":"2022 International Conference on Advanced Technologies for Communications (ATC)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114916408","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 : 2022-10-20DOI: 10.1109/ATC55345.2022.9942985
Nguyen Thi Uyen, Nguyen Thi Anh, L. D. Manh
This paper presents a design for a RF balun with compact size, low-cost and improved bandwidth and isolation. It consists of a wide-band power divider and a broad-band 180° phase shifter. To achieve wide bandwidth characteristic, small reflection technique is employed for the power divider while radial stubs are used in the phase shifter. The compact size is realized by carefully designing the layout based on a low-loss material. The proposed balun works in the frequency band from 1.5 GHz to 3.2 GHz. The measured amplitude imbalance and phase imbalance between the two balanced ports are within 0.3 dB and ±5°, respectively. Measured return loss at both two balanced ports is better than −10 dB while the measured isolation is better than −20 dB.
{"title":"A Compact and Low-cost RF Balun with Improved Bandwidth and Isolation","authors":"Nguyen Thi Uyen, Nguyen Thi Anh, L. D. Manh","doi":"10.1109/ATC55345.2022.9942985","DOIUrl":"https://doi.org/10.1109/ATC55345.2022.9942985","url":null,"abstract":"This paper presents a design for a RF balun with compact size, low-cost and improved bandwidth and isolation. It consists of a wide-band power divider and a broad-band 180° phase shifter. To achieve wide bandwidth characteristic, small reflection technique is employed for the power divider while radial stubs are used in the phase shifter. The compact size is realized by carefully designing the layout based on a low-loss material. The proposed balun works in the frequency band from 1.5 GHz to 3.2 GHz. The measured amplitude imbalance and phase imbalance between the two balanced ports are within 0.3 dB and ±5°, respectively. Measured return loss at both two balanced ports is better than −10 dB while the measured isolation is better than −20 dB.","PeriodicalId":135827,"journal":{"name":"2022 International Conference on Advanced Technologies for Communications (ATC)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125691854","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 : 2022-10-20DOI: 10.1109/ATC55345.2022.9942979
Nguyen Le Cuong, Cong Hung Dinh, Pham Thanh Hiep
This paper considers a wireless system where an unmanned aerial vehicle (UAV) is utilized to support vehicle-to-vehicle (V2V) communications while the vehicles is moving on the road. Non-orthogonal multiple access (NOMA) technology is also exploited to increase the number of vehicles in the considered system. Due to the movements of the vehicles and UAV, the channels between them are characterized by double Rayleigh channels. Unlike previous works on the UAV aided V2V and/or NOMA systems, we applied the channels proposed for 5G standard in our analysis. Consequently, the channel parameters are more practical. We mathematically obtain expressions of outage probabilities (OPs) at two destination vehicles of the considered UAV-aided-V2V-NOMA system over double Rayleigh channels. Based on these expressions, the effects of the NOMA coefficients and the high carrier frequency in the WiFi bands are evaluated in detail. Moreover, both line of sight (LOS) and non-line of sight (NLOS) cases are investigated. Besides the specific carrier frequency, the distances, bandwidth, antenna gain, noise figure, and thermal noise power are set from practical scenarios. Consequently, our results are more realistic than the previous works.
{"title":"Outage Performance of UAV aided V2V-NOMA Communication Systems over Double Rayleigh Channels","authors":"Nguyen Le Cuong, Cong Hung Dinh, Pham Thanh Hiep","doi":"10.1109/ATC55345.2022.9942979","DOIUrl":"https://doi.org/10.1109/ATC55345.2022.9942979","url":null,"abstract":"This paper considers a wireless system where an unmanned aerial vehicle (UAV) is utilized to support vehicle-to-vehicle (V2V) communications while the vehicles is moving on the road. Non-orthogonal multiple access (NOMA) technology is also exploited to increase the number of vehicles in the considered system. Due to the movements of the vehicles and UAV, the channels between them are characterized by double Rayleigh channels. Unlike previous works on the UAV aided V2V and/or NOMA systems, we applied the channels proposed for 5G standard in our analysis. Consequently, the channel parameters are more practical. We mathematically obtain expressions of outage probabilities (OPs) at two destination vehicles of the considered UAV-aided-V2V-NOMA system over double Rayleigh channels. Based on these expressions, the effects of the NOMA coefficients and the high carrier frequency in the WiFi bands are evaluated in detail. Moreover, both line of sight (LOS) and non-line of sight (NLOS) cases are investigated. Besides the specific carrier frequency, the distances, bandwidth, antenna gain, noise figure, and thermal noise power are set from practical scenarios. Consequently, our results are more realistic than the previous works.","PeriodicalId":135827,"journal":{"name":"2022 International Conference on Advanced Technologies for Communications (ATC)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128078829","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 : 2022-10-20DOI: 10.1109/ATC55345.2022.9943002
Minhhuy Le, V. Luong, Dang Khoa Nguyen, Thế Tuấn Trịnh, Phuong Thuy Vu, Thi Huong Nguyen, Hong Ha Thi Vu, Jinyi Lee
Nondestructive testing (NDT) of far-side corrosion in a multilayer structure of aircraft is an important task to ensure the integrity and safety of the aircraft. Among the NDT methods, electromagnetic testing (ET) is powerful in detecting far-side corrosion. However, the far-side corrosion usually appears at the riveting site, making the ET signal complicated and challenging to recognize the presence of the small corrosion. In this paper, a histogram of gradients will be applied to extract features of the magnetic image, and a support vector machine will be used to detect the far-side corrosion. The proposed method helps to improve the accuracy of the detection significantly.
{"title":"Application of Histogram of Oriented Gradients and Support Vector Machine on Detection of Far-side Corrosion","authors":"Minhhuy Le, V. Luong, Dang Khoa Nguyen, Thế Tuấn Trịnh, Phuong Thuy Vu, Thi Huong Nguyen, Hong Ha Thi Vu, Jinyi Lee","doi":"10.1109/ATC55345.2022.9943002","DOIUrl":"https://doi.org/10.1109/ATC55345.2022.9943002","url":null,"abstract":"Nondestructive testing (NDT) of far-side corrosion in a multilayer structure of aircraft is an important task to ensure the integrity and safety of the aircraft. Among the NDT methods, electromagnetic testing (ET) is powerful in detecting far-side corrosion. However, the far-side corrosion usually appears at the riveting site, making the ET signal complicated and challenging to recognize the presence of the small corrosion. In this paper, a histogram of gradients will be applied to extract features of the magnetic image, and a support vector machine will be used to detect the far-side corrosion. The proposed method helps to improve the accuracy of the detection significantly.","PeriodicalId":135827,"journal":{"name":"2022 International Conference on Advanced Technologies for Communications (ATC)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124627169","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 : 2022-10-20DOI: 10.1109/ATC55345.2022.9942963
Manh-Hung Ha, Minh-Huy Le, Khoa Nguyen Dang, Dinh-Thai Kim, V. Tran
This work develops a Deep Neural Network (DNN) with the spatiotemporal skeleton-based attentions to effectively perceive traffic officers for self-driving vehicles. The DNN framework includes two Convolutional Neural Networks (CNNs), Attention-Jointed Appearance (AJA) and Attention-Based Motion (ABM) layers, Recurrent Neural Networks (A_RNN), and Feed-Forward Networks (FFNs) where RGB and optical-flow streams are inputs accompanied with pose joint maps of two-dimensional subject skeletons. The AJA, and ABM layers pay attention to poses, and motions of subjects, respectively. The A_RNNs generate the attention weights over time steps to highlight rich temporal context. In FFN s, one takes the outputs of A_RNNs to determine the action type, and the other processes the outputs of the AJA layer together with the majority voting to enhance subject identification. Based on transfer learning, the initial parameters of two CNN s are from the converged network of Google Inception V3 trained by ImageN et and Kinetics. The experimental results reveal that the proposed DNN achieves the average accuracies around 100.0%, and 97.6% for subject, and action recognitions, respectively, at the traffic police dataset. Comparing to the conventional work, our DNN with superior performance can be a great context-aware system for self-driving vehicles.
{"title":"Action Recognition of Traffic Police by Attentive for Self-Driving Vehicles","authors":"Manh-Hung Ha, Minh-Huy Le, Khoa Nguyen Dang, Dinh-Thai Kim, V. Tran","doi":"10.1109/ATC55345.2022.9942963","DOIUrl":"https://doi.org/10.1109/ATC55345.2022.9942963","url":null,"abstract":"This work develops a Deep Neural Network (DNN) with the spatiotemporal skeleton-based attentions to effectively perceive traffic officers for self-driving vehicles. The DNN framework includes two Convolutional Neural Networks (CNNs), Attention-Jointed Appearance (AJA) and Attention-Based Motion (ABM) layers, Recurrent Neural Networks (A_RNN), and Feed-Forward Networks (FFNs) where RGB and optical-flow streams are inputs accompanied with pose joint maps of two-dimensional subject skeletons. The AJA, and ABM layers pay attention to poses, and motions of subjects, respectively. The A_RNNs generate the attention weights over time steps to highlight rich temporal context. In FFN s, one takes the outputs of A_RNNs to determine the action type, and the other processes the outputs of the AJA layer together with the majority voting to enhance subject identification. Based on transfer learning, the initial parameters of two CNN s are from the converged network of Google Inception V3 trained by ImageN et and Kinetics. The experimental results reveal that the proposed DNN achieves the average accuracies around 100.0%, and 97.6% for subject, and action recognitions, respectively, at the traffic police dataset. Comparing to the conventional work, our DNN with superior performance can be a great context-aware system for self-driving vehicles.","PeriodicalId":135827,"journal":{"name":"2022 International Conference on Advanced Technologies for Communications (ATC)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116793106","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 : 2022-10-20DOI: 10.1109/ATC55345.2022.9942995
To-Nguyen Lam, Tran-Bao-Thuong Cao, Duc Hung Le
In this paper, two lightweight cryptography methods were introduced and developed on hardware. The PRESENT lightweight block cipher, and the DM-PRESENT lightweight hash function were implemented on Intel FPGA. The PRESENT core with 64-bit block data and 80-bit data key consumes 2,945 logic element, 1,824 registers, and 273,408 memory bits. Meanwhile, the DM-PRESENT core with 64-bit input and 80-bit key consumes 2,336 logic element, 1,380 registers, and 273,408 memory bits. The PRESENT core with 128-bit key and DM-PRESENT based on this core were also implemented. These cores were simulated for functional verification and embedded in NIOS II for implementation possibility on hardware. They consumed less logic resources and power consumption compared with conventional cryptography methods.
{"title":"Implementation of Lightweight Cryptography Core PRESENT and DM-PRESENT on FPGA","authors":"To-Nguyen Lam, Tran-Bao-Thuong Cao, Duc Hung Le","doi":"10.1109/ATC55345.2022.9942995","DOIUrl":"https://doi.org/10.1109/ATC55345.2022.9942995","url":null,"abstract":"In this paper, two lightweight cryptography methods were introduced and developed on hardware. The PRESENT lightweight block cipher, and the DM-PRESENT lightweight hash function were implemented on Intel FPGA. The PRESENT core with 64-bit block data and 80-bit data key consumes 2,945 logic element, 1,824 registers, and 273,408 memory bits. Meanwhile, the DM-PRESENT core with 64-bit input and 80-bit key consumes 2,336 logic element, 1,380 registers, and 273,408 memory bits. The PRESENT core with 128-bit key and DM-PRESENT based on this core were also implemented. These cores were simulated for functional verification and embedded in NIOS II for implementation possibility on hardware. They consumed less logic resources and power consumption compared with conventional cryptography methods.","PeriodicalId":135827,"journal":{"name":"2022 International Conference on Advanced Technologies for Communications (ATC)","volume":"06 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127273575","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 : 2022-10-20DOI: 10.1109/ATC55345.2022.9943006
Giang N. Tran, S. Q. Nguyen, Minh Tuan Nguyen, Sunghwan Kim
In this paper, we investigate the short packet communication (SPC) in non-orthogonal multiple access (NOMA) for a downlink visible light communication (VLC) system with the imperfect channel state information (CSI). Furthermore, transmission rates and power allocation coefficients are optimized to obtain the maximum system throughput while the far user can get a specific effective throughput. To this end, the block error rate (BLER) in SPC-NOMA VLC systems with imperfect CSI is derived in closed-form by utilizing Gaussian Chebyshev quadrature method. Then, the effective throughput expression is deduced. We further compare the SPC-NOMA VLC system versus the SPC-orthogonal multiple access (OMA) VLC system in terms of BLER and effective throughput. The analytical and simulation results demonstrate the superiority of the SPC-NOMA VLC system to the SPC-OMA VLC system. To address the optimal system throughput design, the iterative-method-based one-dimensional search method is proposed to derive the optimal transmission rates and optimal power allocation coefficients.
{"title":"Optimal Power Allocation for Non-Orthogonal Multiple Access Visible Light Communications with Short Packet and Imperfect Channel Information","authors":"Giang N. Tran, S. Q. Nguyen, Minh Tuan Nguyen, Sunghwan Kim","doi":"10.1109/ATC55345.2022.9943006","DOIUrl":"https://doi.org/10.1109/ATC55345.2022.9943006","url":null,"abstract":"In this paper, we investigate the short packet communication (SPC) in non-orthogonal multiple access (NOMA) for a downlink visible light communication (VLC) system with the imperfect channel state information (CSI). Furthermore, transmission rates and power allocation coefficients are optimized to obtain the maximum system throughput while the far user can get a specific effective throughput. To this end, the block error rate (BLER) in SPC-NOMA VLC systems with imperfect CSI is derived in closed-form by utilizing Gaussian Chebyshev quadrature method. Then, the effective throughput expression is deduced. We further compare the SPC-NOMA VLC system versus the SPC-orthogonal multiple access (OMA) VLC system in terms of BLER and effective throughput. The analytical and simulation results demonstrate the superiority of the SPC-NOMA VLC system to the SPC-OMA VLC system. To address the optimal system throughput design, the iterative-method-based one-dimensional search method is proposed to derive the optimal transmission rates and optimal power allocation coefficients.","PeriodicalId":135827,"journal":{"name":"2022 International Conference on Advanced Technologies for Communications (ATC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130227202","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 : 2022-10-20DOI: 10.1109/ATC55345.2022.9943047
Dao Dinh Ha, V. Volcheck, V. Stempitsky, Tran Tuan Trung
The DC, small-signal AC and breakdown characteristics of the GaN high electron mobility transistor with a few-layer graphene heat-removal system were simulated. The effect of the distance between the gate and the graphene heat-removal element on the device behavior was analyzed. The simulations reveal that extending the graphene layers towards the gate does not influence the DC characteristics but enhances greatly the AC performance quantities. From the other side, a close proximity between the gate and the graphene layers leads to a higher electric field and, consequently, to a reduced breakdown voltage.
{"title":"DC, AC and Breakdown Simulation of the Gallium Nitride High Electron Mobility Transistor with a Few-Layer Graphene Heat-Removal System","authors":"Dao Dinh Ha, V. Volcheck, V. Stempitsky, Tran Tuan Trung","doi":"10.1109/ATC55345.2022.9943047","DOIUrl":"https://doi.org/10.1109/ATC55345.2022.9943047","url":null,"abstract":"The DC, small-signal AC and breakdown characteristics of the GaN high electron mobility transistor with a few-layer graphene heat-removal system were simulated. The effect of the distance between the gate and the graphene heat-removal element on the device behavior was analyzed. The simulations reveal that extending the graphene layers towards the gate does not influence the DC characteristics but enhances greatly the AC performance quantities. From the other side, a close proximity between the gate and the graphene layers leads to a higher electric field and, consequently, to a reduced breakdown voltage.","PeriodicalId":135827,"journal":{"name":"2022 International Conference on Advanced Technologies for Communications (ATC)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130781497","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 : 2022-10-20DOI: 10.1109/ATC55345.2022.9942991
Duc-Nguyen Viet Tran, H. Tran, H. Park, N. Nguyen-Trong
The isolation of a multiple-input multiple-output (MIMO) antenna system with dual-sense circular polarization (CP) is investigated in this paper. This paper explains the coupling mechanism of this antenna type and proposes a simple decoupling structure for isolation enhancement. The proposed decoupling network is then applied to a CP MIMO antenna. The results demonstrate that the isolation of the proposed CP MIMO antenna is significant improve over wide operating bandwidth while keeping a small element spacing.
{"title":"Simple Decoupling Structure for Dual-Sense CP MIMO Antenna","authors":"Duc-Nguyen Viet Tran, H. Tran, H. Park, N. Nguyen-Trong","doi":"10.1109/ATC55345.2022.9942991","DOIUrl":"https://doi.org/10.1109/ATC55345.2022.9942991","url":null,"abstract":"The isolation of a multiple-input multiple-output (MIMO) antenna system with dual-sense circular polarization (CP) is investigated in this paper. This paper explains the coupling mechanism of this antenna type and proposes a simple decoupling structure for isolation enhancement. The proposed decoupling network is then applied to a CP MIMO antenna. The results demonstrate that the isolation of the proposed CP MIMO antenna is significant improve over wide operating bandwidth while keeping a small element spacing.","PeriodicalId":135827,"journal":{"name":"2022 International Conference on Advanced Technologies for Communications (ATC)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133469625","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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