2020 International Conference on Signal Processing and Communications (SPCOM)最新文献_第5页

High Gain Metamaterial Loaded Antipodal Tapered Slot Antenna for Millimeter Wave Applications 用于毫米波应用的高增益超材料负载对映锥形槽天线

2020 International Conference on Signal Processing and Communications (SPCOM) Pub Date : 2020-07-01 DOI: 10.1109/SPCOM50965.2020.9179599

P. Kumar, Prerna Saxena

{"title":"High Gain Metamaterial Loaded Antipodal Tapered Slot Antenna for Millimeter Wave Applications","authors":"P. Kumar, Prerna Saxena","doi":"10.1109/SPCOM50965.2020.9179599","DOIUrl":"https://doi.org/10.1109/SPCOM50965.2020.9179599","url":null,"abstract":"We propose a novel compact antipodal elliptically tapered slot antenna loaded with left-handed metamaterial over 20-40 GHz for millimetre wave applications. The conventional antipodal tapered slot antenna is modified by incorporating a novel transition between the feed and taper section of the antenna to stabilize the radiation pattern in E-plane and to reduce the beam tilting. We employ a semi-dodecagon shaped dielectric lens with unit cells of a novel broadband metamaterial placed on it to improve the gain of the proposed antenna. The proposed antenna is designed on Rogers RT/Duroid 5880 substrate with dielectric constant of 2.2. The antenna is compact with a volume of $ 30times 49times$ 0.254 $mathrm{m}mathrm{m}^{3}$. The antenna reflection coefficient $(|mathrm{S}_{11}|lt -10mathrm{d}mathrm{B})$ shows good impedance matching over a wide frequency range of 20-40GHz. We exploit the left-handedness of the proposed broadband metamaterial structure to guide the electromagnetic waves along end-fire which results in gain enhancement up to 13.78 dB at the highest frequency (40GHz). The proposed antenna exhibits high gain, small area and stable radiation pattern as compared to other state-of-the-art designs.","PeriodicalId":208527,"journal":{"name":"2020 International Conference on Signal Processing and Communications (SPCOM)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130124912","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: 4

Evaluation of a gamified upper-arm bimanual trainer for stroke patients - A healthy cohort study 游戏化上臂双手训练器对脑卒中患者的评价——一项健康队列研究

2020 International Conference on Signal Processing and Communications (SPCOM) Pub Date : 2020-07-01 DOI: 10.1109/SPCOM50965.2020.9179602

Swamy Chandra Prakash, Suranjita Ganguly, P. Yadav, M. Raghavan, K. S. Sridharan

{"title":"Evaluation of a gamified upper-arm bimanual trainer for stroke patients - A healthy cohort study","authors":"Swamy Chandra Prakash, Suranjita Ganguly, P. Yadav, M. Raghavan, K. S. Sridharan","doi":"10.1109/SPCOM50965.2020.9179602","DOIUrl":"https://doi.org/10.1109/SPCOM50965.2020.9179602","url":null,"abstract":"The current study aims to evaluate the bimanual trainer, ArmAble, using electrophysiology and kinematic data from a healthy cohort, that can help in creating a reliable rehabilitation schema. We use muscle activation patterns recorded through electromyography in healthy subjects, in order to understand the effect on synergies and activation patterns while using a bimanual trainer. We recorded electromyography from six muscles on either side (including four anti-gravity muscles) and kinematic data, while the subject uses the bimanual trainer to understand the muscular activation in the upper limbs. Experimental conditions included different complexity of reaching tasks and different inclinations. We computed the muscle output as quantified by RMS values and intermuscular coherence, which denotes common cortical drive and coordination between muscles. While inclination did not have a significant effect on RMS, there was a marginal yet non-significant effect on IMC. Whereas the complexity of the reaching task did affect the RMS, while it did not affect IMC. We discuss these results in the context of game design principles for neuro-rehabilitation.","PeriodicalId":208527,"journal":{"name":"2020 International Conference on Signal Processing and Communications (SPCOM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129485813","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

On Physical Layer Security over α - η -κ -μ Fading for Relay based Vehicular Networks 基于中继的车辆网络α - η -κ -μ衰落物理层安全性研究

2020 International Conference on Signal Processing and Communications (SPCOM) Pub Date : 2020-07-01 DOI: 10.1109/SPCOM50965.2020.9179522

Sagar Kavaiya, Dhaval K. Patel, Y. Guan, Sumei Sun, Yoong Choon Chang, J. Lim

引用次数: 2

Bounds on the List Size of Successive Cancellation List Decoding 连续取消列表解码的列表大小的界限

2020 International Conference on Signal Processing and Communications (SPCOM) Pub Date : 2020-07-01 DOI: 10.1109/SPCOM50965.2020.9179593

M. C. Coşkun, H. Pfister

引用次数: 5

Node Cardinality Estimation Using a Mobile Base Station in a Heterogeneous Wireless Network Deployed Over a Large Region 基于大区域异构无线网络中移动基站的节点基数估计

2020 International Conference on Signal Processing and Communications (SPCOM) Pub Date : 2020-07-01 DOI: 10.1109/SPCOM50965.2020.9179541

Sachin Kadam, G. Kasbekar

{"title":"Node Cardinality Estimation Using a Mobile Base Station in a Heterogeneous Wireless Network Deployed Over a Large Region","authors":"Sachin Kadam, G. Kasbekar","doi":"10.1109/SPCOM50965.2020.9179541","DOIUrl":"https://doi.org/10.1109/SPCOM50965.2020.9179541","url":null,"abstract":"We consider the problem of estimation of the node cardinality of each node type in a heterogeneous wireless network with T types of nodes deployed over a large region, where $Tgeq 2$ is an integer. A mobile base station (MBS), such as that mounted on an unmanned aerial vehicle (UAV), is used in such cases since a single static base station is not sufficient to cover such a large region. The MBS moves around in the region, and makes multiple stops, and at the last stop, it is able to estimate the node cardinalities for the entire region. In this paper, we propose two schemes, viz., HSRC-MI and HSRC-M2, to rapidly estimate the number of nodes of each type. Both the schemes have two phases and they are performed at each stop. We prove that the node cardinality estimates computed using our proposed schemes equal and hence are as accurate as the estimates that would have been obtained if a well known estimation protocol designed for homogeneous networks in prior work is separately executed T times. Using simulations, we show that the numbers of slots required by the proposed schemes, viz., HSRC-MI and HSRCM2, for computing the node cardinality estimates are significantly less than the number of slots required for T separate executions of the above estimation protocol for homogeneous networks.","PeriodicalId":208527,"journal":{"name":"2020 International Conference on Signal Processing and Communications (SPCOM)","volume":"238 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123327227","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

Sensor Placement for A Pairwise Sensing Model: Framework and Algorithms 一对感知模型的传感器放置:框架和算法

2020 International Conference on Signal Processing and Communications (SPCOM) Pub Date : 2020-07-01 DOI: 10.1109/SPCOM50965.2020.9179499

Geethu Joseph, C. Murthy, V. J. Mathews

引用次数: 0

Sparse Kalman Filtering (SKF) Aided Doubly-Selective Channel Estimation in STTC MIMO-OFDM Systems 稀疏卡尔曼滤波辅助STTC MIMO-OFDM系统的双选择信道估计

2020 International Conference on Signal Processing and Communications (SPCOM) Pub Date : 2020-07-01 DOI: 10.1109/SPCOM50965.2020.9179559

Suraj Srivastava, Mahendrada Sarath Kumar, Amrita Mishra, A. Jagannatham

{"title":"Sparse Kalman Filtering (SKF) Aided Doubly-Selective Channel Estimation in STTC MIMO-OFDM Systems","authors":"Suraj Srivastava, Mahendrada Sarath Kumar, Amrita Mishra, A. Jagannatham","doi":"10.1109/SPCOM50965.2020.9179559","DOIUrl":"https://doi.org/10.1109/SPCOM50965.2020.9179559","url":null,"abstract":"This work develops a novel scheme for doubly-selective sparse channel estimation in a space-time trellis coded (STTC) multiple-input multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM) wireless systems. Toward this end, a pilot based doubly-selective sparse channel estimation model is developed, wherein the time-evolution of the wireless channel is modeled using a first-order autoregressive (AR1) process. This is followed by the proposed online pilot-based sparse Kalman filter (P-SKF) for channel estimation. The proposed P-SKF scheme combines the advantages of the Kalman filter (KF) and sparse Bayesian learning (SBL) techniques to exploit the temporal correlation as well as the sparse multipath delay profile of the wireless channel. In addition, the proposed PSKF technique also exploits the simultaneous-sparsity across all the transmit-receive antenna pairs for improved channel estimation. The recursive Bayesian Cramér-Rao lower bound (BCRLB) is also derived to benchmark the mean square error (MSE) performance of the proposed technique. Simulation results are presented to evaluate the MSE and frame error rate (FER) performance of the proposed technique and compare with the existing schemes.","PeriodicalId":208527,"journal":{"name":"2020 International Conference on Signal Processing and Communications (SPCOM)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131106065","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

Modified Bethe Permanent of a Nonnegative Matrix 非负矩阵的修正恒量

2020 International Conference on Signal Processing and Communications (SPCOM) Pub Date : 2020-07-01 DOI: 10.1109/SPCOM50965.2020.9179492

Shashank Vatedka, P. Vontobel

引用次数: 1

Handwritten Hindi Word Generation to enable Few Instance Learning of Hindi Documents 手写体印地语单词生成，使印地语文档的少数实例学习

2020 International Conference on Signal Processing and Communications (SPCOM) Pub Date : 2020-07-01 DOI: 10.1109/SPCOM50965.2020.9179634

G. Senthil, K. Nandhakumar, G. R. S. Subrahmanyam

引用次数: 0

Robotic Grasp Detection By Learning Representation in a Vector Quantized Manifold 基于矢量量化流形学习表征的机器人抓取检测

2020 International Conference on Signal Processing and Communications (SPCOM) Pub Date : 2020-07-01 DOI: 10.1109/SPCOM50965.2020.9179578

Mridul Mahajan, Tryambak Bhattacharjee, Arya Krishnan, Priya Shukla, G. Nandi

{"title":"Robotic Grasp Detection By Learning Representation in a Vector Quantized Manifold","authors":"Mridul Mahajan, Tryambak Bhattacharjee, Arya Krishnan, Priya Shukla, G. Nandi","doi":"10.1109/SPCOM50965.2020.9179578","DOIUrl":"https://doi.org/10.1109/SPCOM50965.2020.9179578","url":null,"abstract":"For a robot to perform complex manipulation tasks, it is necessary for it to have a good grasping ability. However, vision based robotic grasp detection is hindered by the unavailability of sufficient labelled data. Furthermore, the application of semi-supervised learning techniques to grasp detection is underexplored. In this paper, a semi-supervised learning based grasp detection approach has been presented, which models a discrete latent space using a Vector Quantized Variational AutoEncoder (VQ-VAE). To the best of our knowledge, this is the first time a Variational AutoEncoder (VAE) has been applied in the domain of robotic grasp detection. The VAE helps the model in generalizing beyond the Cornell Grasping Dataset (CGD) despite having a limited amount of labelled data by also utilizing the unlabelled data. This claim has been validated by testing the model on images, which are not available in the CGD. Along with this, we augment the Generative Grasping Convolutional Neural Network (GGCNN) architecture with the decoder structure used in the VQ-VAE model with the intuition that it should help to regress in the vector-quantized latent space. Subsequently, the model performs significantly better than the existing approaches which do not make use of unlabelled images to improve the grasp.","PeriodicalId":208527,"journal":{"name":"2020 International Conference on Signal Processing and Communications (SPCOM)","volume":"1053 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123150634","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: 8