2020 13th International Conference on Communications (COMM)最新文献_第9页

Opportunistic Bistatic SAR Image Classification Using Sub-aperture Decomposition 基于子孔径分解的机会双基地SAR图像分类

2020 13th International Conference on Communications (COMM) Pub Date : 2020-06-01 DOI: 10.1109/COMM48946.2020.9141953

Adrian Focsa, M. Datcu, Stefan-Adrian Toma, A. Anghel, R. Cacoveanu

{"title":"Opportunistic Bistatic SAR Image Classification Using Sub-aperture Decomposition","authors":"Adrian Focsa, M. Datcu, Stefan-Adrian Toma, A. Anghel, R. Cacoveanu","doi":"10.1109/COMM48946.2020.9141953","DOIUrl":"https://doi.org/10.1109/COMM48946.2020.9141953","url":null,"abstract":"In this article the classification of C -band opportunistic bistatic SAR images is assessed. The acquisition setup assumes Sentinel 1 spaceborne transmitter and the ground-based stationary receiver, COBIS located in an urban area. The synchronization/ echoed data spans many monostatic apertures; thus, an increased angular diversity may be exploited. The proposed framework is based on the use of sub-aperture decomposition of the backscatter in order to create the feature vector. Specifically, the goal of such an approach is to identify different scatterer signatures and associate them to specific semantic labels. Because the data dimension increased as a consequence of feature extraction approach, a technique for dimensionality reduction is suitable. The Doppler decomposition features are further embedded in the three-dimensional space in a semi-supervised manner. This operation is performed by UMAP algorithm. Finally, an unsupervised classification is achieved by DBSCAN. The presented results are obtained using manually labeled pixels from the following classes: forest, dam and water.","PeriodicalId":405841,"journal":{"name":"2020 13th International Conference on Communications (COMM)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120958296","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

Impulse Radio UWB blind detection using Cross Recurrence Plot 基于交叉递归图的脉冲无线电超宽带盲检测

2020 13th International Conference on Communications (COMM) Pub Date : 2020-06-01 DOI: 10.1109/COMM48946.2020.9141986

Florin Diaconescu

引用次数: 0

The Statistical Independence for Words in Printed Romanian Language 罗马尼亚语印刷词的统计独立性

2020 13th International Conference on Communications (COMM) Pub Date : 2020-06-01 DOI: 10.1109/COMM48946.2020.9142045

Alexandru Dinu, A. Vlad, Bogdan Hanu, A. Mitrea

{"title":"The Statistical Independence for Words in Printed Romanian Language","authors":"Alexandru Dinu, A. Vlad, Bogdan Hanu, A. Mitrea","doi":"10.1109/COMM48946.2020.9142045","DOIUrl":"https://doi.org/10.1109/COMM48946.2020.9142045","url":null,"abstract":"The paper revisits the notion of statistical independence for printed Romanian when the language is considered as a chain of words. The analysis is carried out on a literary corpus of approx. 6 million words. We aim to improve the perception of the concept of statistical independence for natural texts and to use this concept to evaluate the numerical properties of the printed language. One main objective is to estimate the minimum distance in words that ensures statistical independence.Here, we followed up on an idea previously researched by the authors - the investigation of statistical independence for m-grams (m successive letters). The previous results showed that 100 characters are enough to ensure statistical independence for letter m-grams (m = 1, 2, 3) either for the 32-symbol corpus or when the 47-symbol corpus was analyzed. In the present research, we could notice that 100 words can be considered practically enough for the minimum statistical independence sampling distance. As there is a huge number of distinct words to be considered, detailed investigations have been conducted regarding the creation of one or more Artificial Words consisting of groups of the low probability words (based on previous findings on the type II statistical error in word probability investigation) and the results support the above-mentioned minimum statistical independence distance.","PeriodicalId":405841,"journal":{"name":"2020 13th International Conference on Communications (COMM)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127159656","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

Early Detection of Glaucoma Using Residual Networks 残差网络在青光眼早期检测中的应用

2020 13th International Conference on Communications (COMM) Pub Date : 2020-06-01 DOI: 10.1109/COMM48946.2020.9141990

Silvia Ovreiu, I. Cristescu, F. Balta, Alina Sultana, E. Ovreiu

引用次数: 10

UWB Antenna for a Radar Sensor 雷达传感器用超宽带天线

2020 13th International Conference on Communications (COMM) Pub Date : 2020-06-01 DOI: 10.1109/COMM48946.2020.9141985

I. Nicolaescu, L. Buzincu, L. Anton

引用次数: 0

Review of Counter-UAV Solutions Based on the Detection of Remote Control Communication 基于遥控通信检测的反无人机解决方案综述

2020 13th International Conference on Communications (COMM) Pub Date : 2020-06-01 DOI: 10.1109/COMM48946.2020.9142017

P. Stoica, S. Basak, C. Molder, B. Scheers

引用次数: 5

Architecture of a Cloud-based Fault-Tolerant Control Platform for improving the QoS of Social Multimedia Applications on SD-WAN 基于SD-WAN的社交多媒体应用服务质量改进的云容错控制平台体系结构

2020 13th International Conference on Communications (COMM) Pub Date : 2020-06-01 DOI: 10.1109/COMM48946.2020.9142038

Kashinath Basu, Aws Hamdullah, F. Ball

{"title":"Architecture of a Cloud-based Fault-Tolerant Control Platform for improving the QoS of Social Multimedia Applications on SD-WAN","authors":"Kashinath Basu, Aws Hamdullah, F. Ball","doi":"10.1109/COMM48946.2020.9142038","DOIUrl":"https://doi.org/10.1109/COMM48946.2020.9142038","url":null,"abstract":"Social media application are becoming multimedia centric with live and stored video, audio, augmented reality, haptic, etc. emerging as the main categories of traffic. Their QoS requirements are more stringent than their legacy counterparts. At the carrier level, Software Defined – Wide Area Network (SD-WAN) is one of the promising technologies for transporting these multimedia traffic. A SD-WAN will typically have a mesh of centralized controllers managing the networking infrastructure. Reliable operations of these controllers are a key requirement for the successful operation of the WAN. Controller failure will prevent the forwarding switches from communicating with the controller. This will prevent the switches from forwarding any new traffic, as well as flow entries from existing traffic will also time out after a period bringing the network to a standstill. Rebooting a controller or starting a new one will introduce delays degrading the QoS. This research presents an architecture for handling controller failure via transparent migration of the controller load in a semi-meshed controller environment. The architecture includes a real time cloud-based centralized storage of the flow states north of the controllers and a virtualized connection management unit at the south. The results demonstrate that the proposed model can transparently handle controller failure without affecting the QoS.","PeriodicalId":405841,"journal":{"name":"2020 13th International Conference on Communications (COMM)","volume":"24 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132500872","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

Real-time temporal audio watermarking for mobile communication 用于移动通信的实时时间音频水印

2020 13th International Conference on Communications (COMM) Pub Date : 2020-06-01 DOI: 10.1109/COMM48946.2020.9141976

V. A. Nita, D. Stanomir

引用次数: 1

Experiments to Assess the Implementation of A 4 GHZ Proximity Detector for Smart Crosswalk 一种用于智能人行横道的4ghz接近检测器的实验评估

2020 13th International Conference on Communications (COMM) Pub Date : 2020-06-01 DOI: 10.1109/COMM48946.2020.9141951

C. Andriesei

引用次数: 0

Model and Algorithms for Optimizing a Human Computing System Oriented to Knowledge Extraction by Use of Crowdsourcing 面向知识抽取的众包人力计算系统优化模型与算法

2020 13th International Conference on Communications (COMM) Pub Date : 2020-06-01 DOI: 10.1109/COMM48946.2020.9141972

F. Enache, V. Greu, Petrica Ciotirnae, F. Popescu

{"title":"Model and Algorithms for Optimizing a Human Computing System Oriented to Knowledge Extraction by Use of Crowdsourcing","authors":"F. Enache, V. Greu, Petrica Ciotirnae, F. Popescu","doi":"10.1109/COMM48946.2020.9141972","DOIUrl":"https://doi.org/10.1109/COMM48946.2020.9141972","url":null,"abstract":"The paper is addressing the actual context of Data Deluge, where the need and also premises to extract more knowledge are increasing, along with the increase of our expectations about performances. Besides, improving artificial intelligence (AI), by machine learning (ML), deep learning (DL) or cognitive learning (CL) performance/potential, when adding human contributions where necessary, is an important and promising research area. Consequently, our model, algorithms (ALG1; ALG2) and soft programs provide useful new instruments for implementing and optimizing the workflow based on crowdsourcing, when using human potential in a human computing system. We aim to increase AI quality adding multiple human outputs for every AI task and leveraging learning rules to be then extended to larger sets of tasks. This way, such hybrid system could be oriented to more knowledge extraction, by the generalization of images/ captions/labels toward more complex tasks, like providing content essential or question answering. Our instruments include features of ranking workers and tasks profiles, which will support the main original process of knowledge extraction, but also the inference elements, by small amounts of learning data (regarding the workers skills and tasks efficiency) to be transferred to AI/ML/DL/CL, which then could be used for processing larger volumes of similar data. Among the results conclusions is that using progressive optimization, structuring the data/tasks in variable (progressive) sets and potential (skill/number) of workers, is both efficacious and efficient, allowing a flexible control of the system and workflow for matching a diversity of tasks complexity/ difficulty/volume and leveraging knowledge extraction.","PeriodicalId":405841,"journal":{"name":"2020 13th International Conference on Communications (COMM)","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130994490","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