2022 Workshop on Microwave Theory and Techniques in Wireless Communications (MTTW)最新文献_第2页

Design of Ka-Band Planar Pass-band Filter of Fifth Order Based on SIW Technology 基于SIW技术的五阶ka波段平面通带滤波器设计

2022 Workshop on Microwave Theory and Techniques in Wireless Communications (MTTW) Pub Date : 2022-10-05 DOI: 10.1109/MTTW56973.2022.9942495

Khier Benderradji, I. Messaoudene, Rabia Rebbah, B. Hammache, Massinissa Belazzoug

引用次数: 0

Electronic Toll Management Payment Scheme based on Vehicular Ad-hoc Networks and Cardano's Blockchain Platform 基于车辆自组织网络和卡尔达诺区块链平台的电子收费管理支付方案

2022 Workshop on Microwave Theory and Techniques in Wireless Communications (MTTW) Pub Date : 2022-10-05 DOI: 10.1109/MTTW56973.2022.9942659

Nikolaos Michou, Ilias E. Panagiotopoulos, G. Dimitrakopoulos

{"title":"Electronic Toll Management Payment Scheme based on Vehicular Ad-hoc Networks and Cardano's Blockchain Platform","authors":"Nikolaos Michou, Ilias E. Panagiotopoulos, G. Dimitrakopoulos","doi":"10.1109/MTTW56973.2022.9942659","DOIUrl":"https://doi.org/10.1109/MTTW56973.2022.9942659","url":null,"abstract":"Vehicular ad-hoc networks (VANETs) are based on the interconnections between vehicles and roadside units (RSUs) and are considered as an important aspect in the field of intelligent transportation systems (ITSs). The efficiency of VANETs can be enhanced by the blockchain technology, a trustless infrastructure which guarantees faster and cheaper transactions. The reduction of toll queues and, by extension, the emissions, while at the same time improving the level of payment services, especially during peak days and times, is of crucial importance. Following this trend, the aim of the present study is the development of a unified electronic toll management payment scheme according to three main pillars (perception, network and application), which includes an android based application, cloud server, database, cardano-based blockchain platform, and well established protocols, making the communication between those systems efficient. The aforementioned scheme saves drivers time, whereas the toll payments become easier and more relaxing for every driver.","PeriodicalId":426797,"journal":{"name":"2022 Workshop on Microwave Theory and Techniques in Wireless Communications (MTTW)","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114951865","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 Two-element MIMO Antenna with a Small Footprint for 5G Connectivity 一种用于5G连接的小尺寸双元MIMO天线

2022 Workshop on Microwave Theory and Techniques in Wireless Communications (MTTW) Pub Date : 2022-10-05 DOI: 10.1109/MTTW56973.2022.9942621

K. Patil, A. S, Chaitanya T N, A. K. Dwivedi, N. K. Narayanaswamy, Vivek Singh

引用次数: 0

Low Frequency Excitation of a Lossy Dielectric Filled Cavity Resonator Using QS-FDTD Method 用QS-FDTD方法研究损耗介质填充腔谐振器的低频激励

2022 Workshop on Microwave Theory and Techniques in Wireless Communications (MTTW) Pub Date : 2022-10-05 DOI: 10.1109/MTTW56973.2022.9942497

Talha Saydam, Osman Said Bişkin, S. Aksoy

引用次数: 0

Quadrature Chaos Phase Shift Keying Communication System Based on Vilnius Chaos Oscillator 基于维尔纽斯混沌振荡器的正交混沌相移键控通信系统

2022 Workshop on Microwave Theory and Techniques in Wireless Communications (MTTW) Pub Date : 2022-10-05 DOI: 10.1109/MTTW56973.2022.9942610

Ruslans Babajans, Darja Cirjulina, Deniss Kolosovs, A. Litvinenko

引用次数: 0

Encapsulated and Anonymized Network Video Traffic Classification With Generative Models 基于生成模型的封装和匿名网络视频流量分类

2022 Workshop on Microwave Theory and Techniques in Wireless Communications (MTTW) Pub Date : 2022-10-05 DOI: 10.1109/MTTW56973.2022.9942564

Tianhua Chen, E. Grabs, E. Petersons, D. Efrosinin, A. Ipatovs, J. Kluga

{"title":"Encapsulated and Anonymized Network Video Traffic Classification With Generative Models","authors":"Tianhua Chen, E. Grabs, E. Petersons, D. Efrosinin, A. Ipatovs, J. Kluga","doi":"10.1109/MTTW56973.2022.9942564","DOIUrl":"https://doi.org/10.1109/MTTW56973.2022.9942564","url":null,"abstract":"In recent years, anonymization and encrypted web applications have become increasingly popular among the public. Although the Internet communication process already has complete privacy protection, network security technologies continue to evolve, and technologies for exploring the commercial behavioral characteristics of network users' fingerprints are also accelerating. In this paper, we picked benchmark public datasets, including anonymously viewing video streaming traffic using The Onion Router (Tor) network technology, establishing tunnel encapsulated video streaming packets using Virtual Private Network (VPN) technology, and viewing video streaming traffic scenarios in normal mode. We combined video streaming application types and names to construct a new dataset for multi-class classification problem. Unlike the frequently used classification discrimination models, we used generative models, including Restricted Boltzmann Machines (RBM) and Deep Belief Networks (DBN), having an advantage of features extraction learning to construct models for probabilistic judgments, and better performance, that has been verified and supported in several works. The experimental results show the classification accuracy is as high as 0.94 for eight categories and 0.97 for three categories. Its overall classification performance is good, and different classification performance metrics are balanced.","PeriodicalId":426797,"journal":{"name":"2022 Workshop on Microwave Theory and Techniques in Wireless Communications (MTTW)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123799179","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

Design and Performance Analysis of a Wideband Yagi-Uda Antenna for the Early Stage On-Body Cancer and Tumor Diagnosis 用于早期体内肿瘤诊断的宽带Yagi-Uda天线设计与性能分析

2022 Workshop on Microwave Theory and Techniques in Wireless Communications (MTTW) Pub Date : 2022-10-05 DOI: 10.1109/MTTW56973.2022.9942462

R. Islam, Fardeen Mahbub

{"title":"Design and Performance Analysis of a Wideband Yagi-Uda Antenna for the Early Stage On-Body Cancer and Tumor Diagnosis","authors":"R. Islam, Fardeen Mahbub","doi":"10.1109/MTTW56973.2022.9942462","DOIUrl":"https://doi.org/10.1109/MTTW56973.2022.9942462","url":null,"abstract":"Cancers and Tumors have been a serious concern for mankind since a long time back. Tumor-affected major body parts have been a common scenario. Considering this issue, a high gain Yagi-Uda Antenna's simulation has been done by using the CST Studio Suite Software suitable for Microwave Imaging (MI) for diagnosing the cancer and tumor of the human leg at 1.09 GHz (L-Band) Resonant Frequency. For design purpose, Perfect Electric Conductor (PEC) has been used as a substrate material. A human leg phantom has been created in the CST Software that consists of the tissues such as - Skin, Fat, Skeletal Muscle, Bone (Cortical), and Bone Marrow by using their Dielectric Properties. Then, a tumor with 4 mm size tumor has also been portrayed in the leg. The output results of the Yagi-Uda Antenna was obtained on the Free Space condition and after implementing the Antenna in the human leg without and with the presence of tumor. After doing the simulation, a Return Loss (S1,1) of −39.6 dB, −35.76 dB, and−35.8 dB were obtained in free space, without tumor, and with tumor, respectively. The obtained VSWR values were less than 1.1, with an efficiency value of around 95% in all cases. The other obtained parameters after implementing the Antenna in the human leg without and with tumor-free cases are Gain, Directivity, Radiation Efficiency, Specific Absorption Rate (SAR), Polar Radiation, etc. From the determined results, a detailed analysis of the simulated Antenna has also been made, which validates the goal of the research to a great extent.","PeriodicalId":426797,"journal":{"name":"2022 Workshop on Microwave Theory and Techniques in Wireless Communications (MTTW)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125039803","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

YOLOv5 Deep Neural Network for Quince and Raspberry Detection on RGB Images 基于YOLOv5的RGB图像上柑橘和覆盆子检测的深度神经网络

2022 Workshop on Microwave Theory and Techniques in Wireless Communications (MTTW) Pub Date : 2022-10-05 DOI: 10.1109/MTTW56973.2022.9942550

K. Sudars, I. Namatēvs, J. Judvaitis, Rihards Balass, Arturs Nikulins, Astile Peter, S. Strautiņa, E. Kaufmane, I. Kalnina

{"title":"YOLOv5 Deep Neural Network for Quince and Raspberry Detection on RGB Images","authors":"K. Sudars, I. Namatēvs, J. Judvaitis, Rihards Balass, Arturs Nikulins, Astile Peter, S. Strautiņa, E. Kaufmane, I. Kalnina","doi":"10.1109/MTTW56973.2022.9942550","DOIUrl":"https://doi.org/10.1109/MTTW56973.2022.9942550","url":null,"abstract":"Object detection based on deep learning can be widely used in all kinds of agricultural applications. In this paper, we present a deep neural network (DNN) model for quince and raspberry detection on RGB images. The trained DNN model is based on YOLOv5 architecture and it has 7 berry classes related to the berry development stage. YOLOv5 provides sufficiently good performance and precision trade-off. It is useful in the process of quince and raspberry phenotyping for the agriculture experts, where the yield and berry size parameters have to be estimated. Using our DNN model we have shown that it is possible to achieve a mean Average Precision close to 80.9 % and in some cases (Average Precision) close to 95 % for some classes. The DNN model is trained on labeled data gathered during the AKFEN project. The developed raspberry and quince detector is freely available at the GIT repository [1]. Further, the research on Sensor Networks, Wireless Systems, 3D point cloud processing and multi-spectral image processing has to be carried out leading to high-throughput phenotyping.","PeriodicalId":426797,"journal":{"name":"2022 Workshop on Microwave Theory and Techniques in Wireless Communications (MTTW)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125944151","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: 2

Applicability of different neural network architectures in UWB signal processing for different object classification 不同神经网络架构在超宽带信号处理中对不同目标分类的适用性

2022 Workshop on Microwave Theory and Techniques in Wireless Communications (MTTW) Pub Date : 2022-10-05 DOI: 10.1109/MTTW56973.2022.9942603

K. Greitans, M. Greitans

引用次数: 0

Reconfigurable Planar Filtenna for 5G Sub-6 GHz Applications 用于5G Sub-6 GHz应用的可重构平面滤波器

2022 Workshop on Microwave Theory and Techniques in Wireless Communications (MTTW) Pub Date : 2022-10-05 DOI: 10.1109/MTTW56973.2022.9942496

Caio Vasconcelos Benigno de Abrantes, Iasmin De França Albuquerque, Alexandre Jean René Serres, A. Neto

引用次数: 1