发布求助
文献互助 智能选刊 最新文献

2022 IEEE Ninth International Conference on Communications and Electronics (ICCE)最新文献

筛选
英文 中文
Applying Texture Feature Based on Local Ternary Pattern for Binary Particle Swarm Optimization plus Support Vector Machine-based Classification of Rice Varieties 基于局部三元模式的纹理特征在二元粒子群优化和支持向量机水稻品种分类中的应用
2022 IEEE Ninth International Conference on Communications and Electronics (ICCE) Pub Date : 2022-07-27 DOI: 10.1109/ICCE55644.2022.9852044
Tran Thi Kim Nga, Tuan Pham-Viet, D. M. Nhat, V. Mariano, Tuan Do-Hong
{"title":"Applying Texture Feature Based on Local Ternary Pattern for Binary Particle Swarm Optimization plus Support Vector Machine-based Classification of Rice Varieties","authors":"Tran Thi Kim Nga, Tuan Pham-Viet, D. M. Nhat, V. Mariano, Tuan Do-Hong","doi":"10.1109/ICCE55644.2022.9852044","DOIUrl":"https://doi.org/10.1109/ICCE55644.2022.9852044","url":null,"abstract":"In this study, a proposed method for classification of seventeen rice varieties planted in Vietnam was presented. Features of rice grains were extracted based on an improved local ternary pattern (ILTP). To enhance the classification accuracy and decrease the number of used features, a classifier was built by combining binary particle swarm optimization (BPSO) with support vector machine (SVM). The experiment of classification for the seventeen rice varieties achieved the overall accuracy of 95.06% for BPSO+SVM method. The result showed that BPSO+SVM method could enhance the classification accuracy to 3.12%, and decrease the number of used features by 67.75%, compared to SVM alone. In addition, the extended ILTP features gave the classification accuracy higher than feature set of our previous research. This result could be developed for applications of automatic rice varieties classification.","PeriodicalId":388547,"journal":{"name":"2022 IEEE Ninth International Conference on Communications and Electronics (ICCE)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117272081","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
A 5.8-μ W 61.29-dB-SNDR 10-bits Configurable EEG Acquisition System 5.8 μ W 61.29 db - sndr 10位可配置脑电信号采集系统
2022 IEEE Ninth International Conference on Communications and Electronics (ICCE) Pub Date : 2022-07-27 DOI: 10.1109/ICCE55644.2022.9852040
L. Pham-Nguyen, Viet Nguyen-Thien, Tien-Dung Le Van, Khai Quang Nguyen, Huy-Dung Han
{"title":"A 5.8-μ W 61.29-dB-SNDR 10-bits Configurable EEG Acquisition System","authors":"L. Pham-Nguyen, Viet Nguyen-Thien, Tien-Dung Le Van, Khai Quang Nguyen, Huy-Dung Han","doi":"10.1109/ICCE55644.2022.9852040","DOIUrl":"https://doi.org/10.1109/ICCE55644.2022.9852040","url":null,"abstract":"In this paper, a fully-integrated acquisition system consists of a configurable analog front-end (AFE) and an ultra-low-power 10-bit Successive Approximation Register (SAR) ADC is designed to capture and digitize the electroencephalogram (EEG) signal. The AFE exhibits a DC gain ranging from 60 dB to 84.7 dB, a bandwidth of 0.5 Hz to 100 Hz, 0.82-μVrms input-referred noise, and 5.8-μW power consumption. The ADC shows a peak SNR and SNDR of 61.31 dB and 61.29 dB, respectively, at a 77.7-dB spurious-free dynamic range (SFDR), while consuming only 16.3 nW. This system is designed in a 180-nm CMOS process with a voltage supply of 1.2 V.","PeriodicalId":388547,"journal":{"name":"2022 IEEE Ninth International Conference on Communications and Electronics (ICCE)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117125036","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
Short-Packet Communication for Cooperative UAV-Based MIMO Systems With Rate Splitting Multiple Access 基于无人机的分速多址MIMO系统短包通信
2022 IEEE Ninth International Conference on Communications and Electronics (ICCE) Pub Date : 2022-07-27 DOI: 10.1109/ICCE55644.2022.9852064
Thai-Hoc Vu, T. Duong, Thi-Huong Khuat, T. Nguyen, Sunghwan Kim
{"title":"Short-Packet Communication for Cooperative UAV-Based MIMO Systems With Rate Splitting Multiple Access","authors":"Thai-Hoc Vu, T. Duong, Thi-Huong Khuat, T. Nguyen, Sunghwan Kim","doi":"10.1109/ICCE55644.2022.9852064","DOIUrl":"https://doi.org/10.1109/ICCE55644.2022.9852064","url":null,"abstract":"This paper analyses the performance of short-packet communication for cooperative unnamed aerial vehicle (UAV)-based multiple-input multiple-output systems with rate splitting multiple access (RSMA) over Nakagami-m fading channels. In particular, the exact and asymptotic expressions for the cumulative distribution function (CDF) and the block-error-rate (BLER) are derived. From the asymptotic results, the diversity order is revealed to provide additional insights into the impact of the system parameters on the BLER performances. Finally, the simulations are provided to validate the analytical derivations and demonstrate the impact of the number of antennas, power allocation, and block-length on short-packet communications.","PeriodicalId":388547,"journal":{"name":"2022 IEEE Ninth International Conference on Communications and Electronics (ICCE)","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129660653","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: 3
Power Control in a modified Strict Frequency Reuse Algorithm Utilizing Q-Learning 基于q -学习的改进严格频率复用算法的功率控制
2022 IEEE Ninth International Conference on Communications and Electronics (ICCE) Pub Date : 2022-07-27 DOI: 10.1109/ICCE55644.2022.9852036
S. Lam, Nam-Hoang Nguyen, Vu Tran, Viet-Cuong Ta
{"title":"Power Control in a modified Strict Frequency Reuse Algorithm Utilizing Q-Learning","authors":"S. Lam, Nam-Hoang Nguyen, Vu Tran, Viet-Cuong Ta","doi":"10.1109/ICCE55644.2022.9852036","DOIUrl":"https://doi.org/10.1109/ICCE55644.2022.9852036","url":null,"abstract":"In this paper, Strict Frequency Reuse (FR) algorithm is studied for a single tier indoor Spatial Point Poisson cellular network under a 3GPP multi-slope path loss model. While the regular Strict FR algorithm assumes that the Cell-Edge Sub-band Group (CEG) is only reused in a group of the adjacent cells, this modified algorithm of this work allows all BSs share the CEG to improve the spectral efficiency. The machine learning, particularly Deep Q Network, is utilized to optimize the transmission power on Cell-Center Sub-band Group (CCG) and CEG. Instead of assuming that the ratio of the transmission power on CCG and CEG is a fixed number, the transmission ratio is determined by DQN. The simulation results indicate that the modified Strict FR algorithm can achieve significantly higher performance compared to Full FR.","PeriodicalId":388547,"journal":{"name":"2022 IEEE Ninth International Conference on Communications and Electronics (ICCE)","volume":"209 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127171492","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
Performance Evaluation of mmWave SAR Imaging Systems using K-domain interpolation and Matched filter methods 基于k域插值和匹配滤波方法的毫米波SAR成像系统性能评估
2022 IEEE Ninth International Conference on Communications and Electronics (ICCE) Pub Date : 2022-07-27 DOI: 10.1109/ICCE55644.2022.9852019
Phuc Nguyen Cao Hong, Dung Trinh Xuan
{"title":"Performance Evaluation of mmWave SAR Imaging Systems using K-domain interpolation and Matched filter methods","authors":"Phuc Nguyen Cao Hong, Dung Trinh Xuan","doi":"10.1109/ICCE55644.2022.9852019","DOIUrl":"https://doi.org/10.1109/ICCE55644.2022.9852019","url":null,"abstract":"This paper provides a performance evaluation of three-dimensional (3-D) high resolution radar imaging systems at millimeter-Wave (mmWave) frequencies using K-interpolation and Matched filter methods. At first, transmitted and received radar signals from objects is modelled and used to evaluate the performance of image reconstruction algorithms in term of resolution and processing time. Then a real radar imaging system is built with IWR1642 FMCW radar module, DCA1000EVM real time data capture board and a dual axis XY-X table robot. The data collected from the radar system is then used to validate the performance of imaging reconstruction algorithms.","PeriodicalId":388547,"journal":{"name":"2022 IEEE Ninth International Conference on Communications and Electronics (ICCE)","volume":"94 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130169588","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
Secrecy Rate Optimization for IRS-Aided MIMO Cognitive Radio Systems with SWIPT 带有SWIPT的irs辅助MIMO认知无线电系统的保密率优化
2022 IEEE Ninth International Conference on Communications and Electronics (ICCE) Pub Date : 2022-07-27 DOI: 10.1109/ICCE55644.2022.9852091
Vo The Duy, H. H. Kha
{"title":"Secrecy Rate Optimization for IRS-Aided MIMO Cognitive Radio Systems with SWIPT","authors":"Vo The Duy, H. H. Kha","doi":"10.1109/ICCE55644.2022.9852091","DOIUrl":"https://doi.org/10.1109/ICCE55644.2022.9852091","url":null,"abstract":"This paper investigates a secure simultaneous wireless information and power transfer (SWIPT) multiple-input multiple-output (MIMO) cognitive radio (CR) system with the aid of an intelligent reflecting surface (IRS). To maximize the secrecy rate of the secondary user (SU) in the system while guaranteeing the minimum harvested energy requirement at the energy receiver (ER) and the tolerable interference power at the primary users (PUs), the precoding matrix, the artificial noise (AN) covariance at the secondary transmitter (ST) and the phase shift matrix at the IRS are optimally designed. By exploiting the inexact block coordinate descent (IBCD) method, the optimal solutions are found to achieve the maximum secrecy rate. By numerical simulation results, we investigate the achievable secrecy rate performance for various system settings to give insights into the effectiveness of using the IRS into secure CR SWIPT MIMO systems.","PeriodicalId":388547,"journal":{"name":"2022 IEEE Ninth International Conference on Communications and Electronics (ICCE)","volume":"79 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129115546","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
Image Super Resolution Using Deep Learning 使用深度学习的图像超分辨率
2022 IEEE Ninth International Conference on Communications and Electronics (ICCE) Pub Date : 2022-07-27 DOI: 10.1109/ICCE55644.2022.9852096
Nguyen-Phan-Long Le, Hung Ngoc Do, V. Huynh, Linh Mai
{"title":"Image Super Resolution Using Deep Learning","authors":"Nguyen-Phan-Long Le, Hung Ngoc Do, V. Huynh, Linh Mai","doi":"10.1109/ICCE55644.2022.9852096","DOIUrl":"https://doi.org/10.1109/ICCE55644.2022.9852096","url":null,"abstract":"Image upscaling has been applied in many applications in the image processing field. This paper shows a model which is able to perform image upscaling by 4 times using a series of convolutional filters and trained using the generative adversarial network (GAN) training scheme. The GAN training process involves a generator network, which will perform the image upscaling. The results of the generator network will be evaluated by a discriminator network for the realistic score which will be feedback to the generator network for training. The chosen GAN type is the GAN with a relativistic discriminator which calculates how realistic is the generated image compared to the real image. The network also utilizes different structures of dilated convolution filter, inception module and residue connection between the filters to enhance the feature extraction capability. The high-definition image dataset DIV2K is used for the training.","PeriodicalId":388547,"journal":{"name":"2022 IEEE Ninth International Conference on Communications and Electronics (ICCE)","volume":"171 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132178380","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
Key Agreement Protocol Based on Chaotic Authenticated Encryption Scheme 基于混沌认证加密方案的密钥协商协议
2022 IEEE Ninth International Conference on Communications and Electronics (ICCE) Pub Date : 2022-07-27 DOI: 10.1109/ICCE55644.2022.9852057
Ta Thi Kim Hue, N. X. Quyen, T. Hoang
{"title":"Key Agreement Protocol Based on Chaotic Authenticated Encryption Scheme","authors":"Ta Thi Kim Hue, N. X. Quyen, T. Hoang","doi":"10.1109/ICCE55644.2022.9852057","DOIUrl":"https://doi.org/10.1109/ICCE55644.2022.9852057","url":null,"abstract":"This paper proposes a shared secret key exchange based on a lightweight chaotic authenticated encryption. The Standard map is utilized for a keyed-hash function and the hash function is used to construct an Encrypt-then-MAC using the counter mode of the lightweight block cipher. Then, the Chebyshev polynomial is employed for the public key encryption in the key agreement scheme. Security analysis shows the results that the integration of the two chaotic maps enhances confidentiality, integrity, and authentication for the key agreement protocol. Hardware design of the proposed authenticated encryption scheme with the Lightweight Counter Mode shows that it is suitable for embedded systems due to low resource utilization.","PeriodicalId":388547,"journal":{"name":"2022 IEEE Ninth International Conference on Communications and Electronics (ICCE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130943366","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
Semi-Blind Structure-Based SIMO System Estimation 基于半盲结构的SIMO系统估计
2022 IEEE Ninth International Conference on Communications and Electronics (ICCE) Pub Date : 2022-07-27 DOI: 10.1109/ICCE55644.2022.9852095
Qadri Mayyala, K. Abed-Meraim, A. Lawal, A. Zerguine
{"title":"Semi-Blind Structure-Based SIMO System Estimation","authors":"Qadri Mayyala, K. Abed-Meraim, A. Lawal, A. Zerguine","doi":"10.1109/ICCE55644.2022.9852095","DOIUrl":"https://doi.org/10.1109/ICCE55644.2022.9852095","url":null,"abstract":"This paper introduces a new semi-blind single in-put multiple output (SIMO) channel estimation algorithm. The algorithm exploits both the training-based samples and the received samples to estimate the channel state information. The structure-subspace blind method, which uses the inherent Toeplitz structure that exists in many systems, combined with the least squares approach are used. The proposed algorithm is tested via simulation and showed an improved performance.","PeriodicalId":388547,"journal":{"name":"2022 IEEE Ninth International Conference on Communications and Electronics (ICCE)","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125534674","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
High Gain and Wide Bandwidth Fabry-Perot Frequency-Reconfigurable Antenna for Multiple LTE Radio Wireless Communication 用于多LTE无线通信的高增益宽频宽Fabry-Perot频率可重构天线
2022 IEEE Ninth International Conference on Communications and Electronics (ICCE) Pub Date : 2022-07-27 DOI: 10.1109/ICCE55644.2022.9852085
T. Nguyen, Mau Tuan Phan, R. Borowiec, A. Narbudowicz
{"title":"High Gain and Wide Bandwidth Fabry-Perot Frequency-Reconfigurable Antenna for Multiple LTE Radio Wireless Communication","authors":"T. Nguyen, Mau Tuan Phan, R. Borowiec, A. Narbudowicz","doi":"10.1109/ICCE55644.2022.9852085","DOIUrl":"https://doi.org/10.1109/ICCE55644.2022.9852085","url":null,"abstract":"This paper presents a frequency reconfigurable antenna with an improved gain performance operating in 1.7-2.5 GHz band for Multiple LTE Radio Wireless Communication applications. The proposed antenna is composed of a continuously tunable frequency reconfigurable patch antenna (RPA) positioned in a Fabry-Perot (FP) cavity which is formed by a Partially Selective Surface (PRS) and a ground plane. The two-layer gradient PRS is designed to achieve wideband phase compensation. The ground is an Artificial Magnetic Conductor (AMC) which is optimized for gain enhancement at the lower frequencies. The results show that the proposed FP-RPA can produce a realized gain enhancement of between 4-8dB compared with the source RA within the operating bandwidth. Moreover, the 3-dB gain bandwidths are improved to about 31% in comparison with the 19.8% and 23.3% of the sole source RA and the antenna with conventional uniform PRS, respectively. Measurement shows that the effective bandwidth of the proposed FP-RPA is 1. 83-2.5 GHz, which corresponds to 30.9% at the center frequency of2.16 GHz, and the maximum realized gain of 8.2 dBi is achieved.","PeriodicalId":388547,"journal":{"name":"2022 IEEE Ninth International Conference on Communications and Electronics (ICCE)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125378121","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
首页 上一页 下一页 尾页
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整，为了账户安全，请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们：info@booksci.cn Book学术提供免费学术资源搜索服务，方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号：604180095
Book学术官方微信