2021 National Conference on Communications (NCC)最新文献_第4页

On Performance of Battery-Assisted SWIPT with Incremental Relaying and Nonlinear Energy Harvesting 基于增量继电器和非线性能量收集的电池辅助SWIPT性能研究

2021 National Conference on Communications (NCC) Pub Date : 2021-07-27 DOI: 10.1109/NCC52529.2021.9530129

Kamal Agrawal, Anand Jee, S. Prakriya

引用次数: 2

On Traffic Classification in Enterprise Wireless Networks 企业无线网络中的流量分类研究

2021 National Conference on Communications (NCC) Pub Date : 2021-07-27 DOI: 10.1109/NCC52529.2021.9530062

Sipra Behera, B. Panigrahi, H. Rath, Jyotirmoy Karjee

引用次数: 0

Dimension Reduction and Clustering of Single Cell Calcium Spiking: Comparison of t-SNE and UMAP 单细胞钙峰的降维与聚类:t-SNE与UMAP的比较

2021 National Conference on Communications (NCC) Pub Date : 2021-07-27 DOI: 10.1109/NCC52529.2021.9530128

Suman Gare, S. Chel, Manohar Kuruba, S. Jana, L. Giri

引用次数: 0

Outage Analysis of SWIPT-Enabled Multi-Relay Aided Full-Duplex NOMA System under Partial Relay Selection 部分中继选择下swift多中继辅助全双工NOMA系统的中断分析

2021 National Conference on Communications (NCC) Pub Date : 2021-07-27 DOI: 10.1109/NCC52529.2021.9530193

Shubham Shinkar, B. V.

引用次数: 0

DNN based phrase boundary detection using knowledge-based features and feature representations from CNN 基于DNN的短语边界检测，使用基于知识的特征和来自CNN的特征表示

2021 National Conference on Communications (NCC) Pub Date : 2021-07-27 DOI: 10.1109/NCC52529.2021.9530147

Pavan Kumar, Chiranjeevi Yarra, P. Ghosh

{"title":"DNN based phrase boundary detection using knowledge-based features and feature representations from CNN","authors":"Pavan Kumar, Chiranjeevi Yarra, P. Ghosh","doi":"10.1109/NCC52529.2021.9530147","DOIUrl":"https://doi.org/10.1109/NCC52529.2021.9530147","url":null,"abstract":"Automatic phrase boundary detection could be useful in applications, including computer-assisted pronunciation tutoring, spoken language understanding, and automatic speech recognition. In this work, we consider the problem of phrase boundary detection on English utterances spoken by native American speakers. Most of the existing works on boundary detection use either knowledge-based features or representations learnt from a convolutional neural network (CNN) based architecture, considering word segments. However, we hypothesize that combining knowledge-based features and learned representations could improve the boundary detection task's performance. For this, we consider a fusion-based model considering deep neural network (DNN) and CNN, where CNNs are used for learning representations and DNN is used to combine knowledge-based features and learned representations. Further, unlike existing data-driven methods, we consider two CNNs for learning representation, one for word segments and another for word-final syllable segments. Experiments on Boston University radio news and Switchboard corpora show the benefit of the proposed fusion-based approach compared to a baseline using knowledge-based features only and another baseline using feature representations from CNN only.","PeriodicalId":414087,"journal":{"name":"2021 National Conference on Communications (NCC)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123683731","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

Compact and Wideband Circularly Polarized Quadrature Rectangular Dielectric Resonator Antenna 紧凑型宽带圆极化正交矩形介电谐振器天线

2021 National Conference on Communications (NCC) Pub Date : 2021-07-27 DOI: 10.1109/NCC52529.2021.9530089

Abhijeet C. Gaonkar, Pragati Patel

引用次数: 2

Domain Randomization on Deep Learning Models for Image Dehazing 图像去雾深度学习模型的领域随机化

2021 National Conference on Communications (NCC) Pub Date : 2021-07-27 DOI: 10.1109/NCC52529.2021.9530031

Abdul Fathaah Shamsuddin, Abhijith P, Krupasankari Ragunathan, D. M, P. Sankaran

{"title":"Domain Randomization on Deep Learning Models for Image Dehazing","authors":"Abdul Fathaah Shamsuddin, Abhijith P, Krupasankari Ragunathan, D. M, P. Sankaran","doi":"10.1109/NCC52529.2021.9530031","DOIUrl":"https://doi.org/10.1109/NCC52529.2021.9530031","url":null,"abstract":"Haze is a naturally occurring phenomenon that obstructs vision and affects the quality of images and videos. Recent literature has shown that deep learning-based image dehazing gives promising results both in terms of image quality and execution time. However, the difficulty of acquiring realworld hazy - clear paired images for training still remains a challenge. Widely available datasets use synthetically generated hazy images that suffer from flaws due to difficulty in acquiring accurate depth information to synthesize realistic-looking haze, causing a gap in the real and synthetic domain. In this paper, we propose the usage of domain randomization for image dehazing by generating a completely simulated training dataset for deep learning models. A standard UNET based dehazing model is trained on the simulated dataset without using any real-world data to obtain high quality dehazed images. The performance of the proposed approach is evaluated on the Sun-Dehaze dataset and RESIDE Standard (SOTS outdoor) dataset. We obtain favorable PSNR and SSIM scores on both sets and we also show how our approach yields better visual results compared to other learning-based approaches.","PeriodicalId":414087,"journal":{"name":"2021 National Conference on Communications (NCC)","volume":"111 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121912953","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

Design of an Elementary Microstrip Power Splitter for Antenna Array 天线阵列用初级微带功率分配器的设计

2021 National Conference on Communications (NCC) Pub Date : 2021-07-27 DOI: 10.1109/NCC52529.2021.9530097

Chanchala Kumari, N. Chattoraj

引用次数: 1

Analysis of Multi-Hop Device-To-Device Networks with Half-Duplex Relays 半双工中继的多跳设备对设备网络分析

2021 National Conference on Communications (NCC) Pub Date : 2021-07-27 DOI: 10.1109/NCC52529.2021.9530123

Gourab Ghatak

{"title":"Analysis of Multi-Hop Device-To-Device Networks with Half-Duplex Relays","authors":"Gourab Ghatak","doi":"10.1109/NCC52529.2021.9530123","DOIUrl":"https://doi.org/10.1109/NCC52529.2021.9530123","url":null,"abstract":"In this paper, we analyze a multi-hop device-to-device (D2D) communication network operating in a region of cellular outage, e.g., in case of a natural disaster. In particular, we assume that the D2D devices operate in a half-duplex manner and can receive signals from or transmit to a single D2D relay. For this system, we characterize a multi-hop D2D transmission protocol wherein we divide the transmission area into multiple regions based on the D2D transmission range. In contrast to the other works present in literature, we have taken into account the probability of a relay being used by another D2D source at the instant when the typical D2D source attempts to connect to it. Then, we derive the signal to interference and noise ratio (SINR) coverage probability for a typical device. Based on this, we define and characterize a performance metric called the availability-coverage product (ACP) to jointly take into account the coverage performance of the devices and the probability of them being used as relays by the other devices in outage. Our analysis highlights several system design insights in terms of the D2D communication range and the optimal number of active devices in the network in terms of the ACP.","PeriodicalId":414087,"journal":{"name":"2021 National Conference on Communications (NCC)","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131447530","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

On Outage Probability Analysis of Uplink Cooperative VFD-NOMA over Nakagami-m Faded Channels Nakagami-m衰落信道上上行协同VFD-NOMA中断概率分析

2021 National Conference on Communications (NCC) Pub Date : 2021-07-27 DOI: 10.1109/NCC52529.2021.9530066

Justin Jose, Parvez Shaik, Shubham Bisen, V. Bhatia

引用次数: 2