2022 National Conference on Communications (NCC)最新文献_第2页

On study and analysis of the impact of the time reversal mirror on characteristics of the underwater acoustic channel 时间反转镜对水声信道特性影响的研究与分析

2022 National Conference on Communications (NCC) Pub Date : 2022-05-24 DOI: 10.1109/NCC55593.2022.9806759

V. S. Bhadouria, Ritesh Kumar, Monika Aggarwal

引用次数: 0

Whisper to Neutral Mapping Using I-Vector Space Likelihood and a Cosine Similarity Based Iterative Optimization for Whispered Speaker Verification 基于i -向量空间似然和余弦相似度的耳语到中立映射的耳语说话者验证迭代优化

2022 National Conference on Communications (NCC) Pub Date : 2022-05-24 DOI: 10.1109/NCC55593.2022.9806732

Abinay Reddy Naini, Achuth Rao M V, P. Ghosh

引用次数: 0

Automatic Detection of Ocean Eddy based on Deep Learning Technique with Attention Mechanism 基于注意机制的深度学习技术的海洋涡旋自动检测

2022 National Conference on Communications (NCC) Pub Date : 2022-05-24 DOI: 10.1109/NCC55593.2022.9806766

Shaik John Saida, S. Ari

{"title":"Automatic Detection of Ocean Eddy based on Deep Learning Technique with Attention Mechanism","authors":"Shaik John Saida, S. Ari","doi":"10.1109/NCC55593.2022.9806766","DOIUrl":"https://doi.org/10.1109/NCC55593.2022.9806766","url":null,"abstract":"Ocean eddies are a common occurrence in ocean water circulation. They have an enormous impact on the marine ecosystem. One of the most active study topics in physical oceanography is ocean eddy detection. Although using deep learning algorithms to detect eddies is a recent trend, it is still in its infancy. In this paper, an attention mechanism-based ocean eddy detection approach using deep learning is proposed. Attention mechanism has spatial and channel attention modules that are cascaded to convolution blocks-based encoder model to simulate spatial and channel semantic interdependencies. In the spatial attention module, the feature at each point is aggregated selectively by the sum of the features at all positions. The channel attention module aggregates related data from all channel maps to selectively highlight interdependent channel maps. The original feature map and the feature map obtained through the attention mechanism are appended to enhance the feature representation further, resulting in more accurate segmentation results. The findings of the experiments show that adopting an attention-based deep framework improves eddy recognition accuracy significantly.","PeriodicalId":403870,"journal":{"name":"2022 National Conference on Communications (NCC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130170346","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

Contrastive Learning-Based Domain Adaptation for Semantic Segmentation 基于对比学习的语义分割领域自适应

2022 National Conference on Communications (NCC) Pub Date : 2022-05-24 DOI: 10.1109/NCC55593.2022.9806740

Rishika Bhagwatkar, Saurabh Kemekar, Vinay Domatoti, Khursheed Munir Khan, Anamika Singh

{"title":"Contrastive Learning-Based Domain Adaptation for Semantic Segmentation","authors":"Rishika Bhagwatkar, Saurabh Kemekar, Vinay Domatoti, Khursheed Munir Khan, Anamika Singh","doi":"10.1109/NCC55593.2022.9806740","DOIUrl":"https://doi.org/10.1109/NCC55593.2022.9806740","url":null,"abstract":"Semantic segmentation is a crucial algorithm for identifying various objects in the surrounding of an autonomous vehicle. However, due to the limited size of real-world datasets, domain adaptation is employed. Hence, the models are made to adapt to real-world settings while being trained on large-scale synthetic datasets. In domain adaptation, domain-invariant features play a significant role in learning domain agnostic representations for each predefined category. While most of the prior work focuses on decreasing the distance between the domains, the works that utilize contrastive objectives for learning domain-invariant features depend heavily on the augmentations used. In this work, we completely eradicate the requirement of explicit data augmentations. We hypothesize that real-world images and their corresponding synthetic images are different views of the same abstract representation. To enhance the quality of domain-invariant features, we increase the mutual information between the two inputs. We first validate our hypothesis on the classification task using the standard datasets; Office31 and VisDA-2017. Further, we perform quantitative and qualitative analysis on the segmentation task using SYNTHIA, GTA and Cityscapes datasets.","PeriodicalId":403870,"journal":{"name":"2022 National Conference on Communications (NCC)","volume":"222 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115785452","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

Fingerprint Image-Based Multi-Building 3D Indoor Wi-Fi Localization Using Convolutional Neural Networks 基于指纹图像的多栋建筑室内3D Wi-Fi卷积神经网络定位

2022 National Conference on Communications (NCC) Pub Date : 2022-05-24 DOI: 10.1109/NCC55593.2022.9806797

Amala Sonny, Abhinav Kumar

引用次数: 0

Theoretical Analysis of an Inverse Radon Transform Based Multicomponent Micro-Doppler Parameter Estimation Algorithm 基于逆Radon变换的多分量微多普勒参数估计算法的理论分析

2022 National Conference on Communications (NCC) Pub Date : 2022-05-24 DOI: 10.1109/NCC55593.2022.9806802

Shrikant Sharma, A. Girish, Nikhar P. Rakhashia, V. Gadre, Shaan ul Haque, Aseer Ansari, R. B. Pachori, P. Radhakrishna, Peeyush Sahay

引用次数: 0

A Survey on Multicast Broadcast Services in 5G and Beyond 5G及以后多播广播业务研究

2022 National Conference on Communications (NCC) Pub Date : 2022-05-24 DOI: 10.1109/NCC55593.2022.9806729

Rashmi Kamran, P. Jha, Shwetha Kiran, A. Karandikar, P. Chaporkar, Anindya Saha, Arindam Chakraborty

{"title":"A Survey on Multicast Broadcast Services in 5G and Beyond","authors":"Rashmi Kamran, P. Jha, Shwetha Kiran, A. Karandikar, P. Chaporkar, Anindya Saha, Arindam Chakraborty","doi":"10.1109/NCC55593.2022.9806729","DOIUrl":"https://doi.org/10.1109/NCC55593.2022.9806729","url":null,"abstract":"Increased usage of video consumption along with a host of new services such as software download over wireless networks, group communications, and Internet of Things (IoT) applications have created a need for support of Multicast Broadcast Services (MBS) in wireless networks. While the Third Generation Partnership Project (3GPP) is defining its own mechanism for MBS support in Fifth Generation (5G) system, supplementing the native 5G MBS support with non-3GPP Broadcast Networks may bring additional advantages. A unique characteristic of the 3GPP 5G System (5GS) architecture is the existence of a converged core, capable of supporting diverse access technologies, 3GPP and non-3GPP access technologies in a uniform manner. The 5GS also supports multiple integration points for non-3GPP access networks. These may be utilized for its integration with non-3GPP broadcast networks such as non-3GPP satellite access networks and digital terrestrial broadcast networks enabling it to harness them for multicast broadcast service delivery. In this article, we review the upcoming 3GPP 5G MBS standards along with some of its limitations. We also present state of the art standardization initiatives towards convergence of non-3GPP broadcast networks with the 5GS including our proposals submitted to standards organizations.","PeriodicalId":403870,"journal":{"name":"2022 National Conference on Communications (NCC)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126897613","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

Automated Volumetric Examination of Muscle for Sarcopenia Assessment in CT Scan: Generalization of Psoas-based Approach 在CT扫描中评估肌肉减少症的自动体积检查:基于腰肌的方法的推广

2022 National Conference on Communications (NCC) Pub Date : 2022-05-24 DOI: 10.1109/NCC55593.2022.9806773

Pranaya Yellu, Satyam Singh, S. Joshi, R. Sarkar, Soumya Jana

{"title":"Automated Volumetric Examination of Muscle for Sarcopenia Assessment in CT Scan: Generalization of Psoas-based Approach","authors":"Pranaya Yellu, Satyam Singh, S. Joshi, R. Sarkar, Soumya Jana","doi":"10.1109/NCC55593.2022.9806773","DOIUrl":"https://doi.org/10.1109/NCC55593.2022.9806773","url":null,"abstract":"Sarcopenia is increasingly identified as a correlate of frailty and ageing and associated with an increased likelihood of falls, fracture, frailty and mortality. The gold standard for the sarcopenia evaluation in computed tomography (CT) scan was psoas muscle area (PMA) measurement. In this paper, we proposed an automated deep learning approach to find the muscle volume and assessed the correlation between PMA and muscle volume in the chest CT. This alternate muscle volume metric becomes significant since most chest CT scans taken to assess lung diseases might not consist of psoas muscle but consists of other muscles, and it would therefore not be possible to assess sarcopenia in chest CT. Our results show a good correlation between the psoas muscle area and the muscle volume produced over specific anatomical landmarks by segmenting the muscle tissue using the 2D U-Net segmentation model, strengthening our proposition. Along with the muscle volume, we have also found the volume of peripheral fat and have shown there exists a correlation between them which could be helpful for nutritional evaluation.","PeriodicalId":403870,"journal":{"name":"2022 National Conference on Communications (NCC)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122070754","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

Properties of Maximally Recoverable Product Codes and Higher Order MDS Codes 最大可恢复产品代码和高阶MDS代码的性质

2022 National Conference on Communications (NCC) Pub Date : 2022-05-24 DOI: 10.1109/NCC55593.2022.9806469

D. Shivakrishna, V. Lalitha

{"title":"Properties of Maximally Recoverable Product Codes and Higher Order MDS Codes","authors":"D. Shivakrishna, V. Lalitha","doi":"10.1109/NCC55593.2022.9806469","DOIUrl":"https://doi.org/10.1109/NCC55593.2022.9806469","url":null,"abstract":"Product codes are a class of codes which have generator matrices as the tensor product of the component codes and the codeword itself can be represented as an (m × n) array, where the component codes themselves are referred to as the row and column codes. Maximally recoverable product codes (MRPCs) are a class of codes which can recover from all information theoretically recoverable erasure patterns, given the $a$ column and $b$ row constraints imposed by the code. In this work, we derive puncturing and shortening properties of maximally recoverable product codes. We give a sufficient condition to characterize a certain subclass of erasure patterns as correctable and another necessary condition to characterize another subclass of erasure patterns as not correctable. In an earlier work, higher order MDS codes denoted by MDS(l) have been defined in terms of generic matrices and these codes have been shown to be constituent row codes for maximally recoverable product codes for the case of $a$ = 1. We derive a certain inclusion-exclusion type principle for characterizing the dimension of intersection spaces of generic matrices. Applying this, we formally derive a relation between MDS(3) codes and points/lines of the associated projective space.","PeriodicalId":403870,"journal":{"name":"2022 National Conference on Communications (NCC)","volume":"95 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131474586","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

Multi-Task Federated Edge Learning (MTFeeL) With SignSGD 基于SignSGD的多任务联邦边缘学习

2022 National Conference on Communications (NCC) Pub Date : 2022-05-24 DOI: 10.1109/NCC55593.2022.9806778

Sawan Singh Mahara, M. Shruti, B. Bharath

引用次数: 0