2021 Advanced Communication Technologies and Signal Processing (ACTS)最新文献

Super-Resolution of Thermal Images Using GAN Network 基于GAN网络的热图像超分辨率研究

2021 Advanced Communication Technologies and Signal Processing (ACTS) Pub Date : 2021-12-15 DOI: 10.1109/ACTS53447.2021.9708340

S. Deepak, Sanuj Sahoo, D. Patra

{"title":"Super-Resolution of Thermal Images Using GAN Network","authors":"S. Deepak, Sanuj Sahoo, D. Patra","doi":"10.1109/ACTS53447.2021.9708340","DOIUrl":"https://doi.org/10.1109/ACTS53447.2021.9708340","url":null,"abstract":"Super-resolution (SR) reconstruction of thermal images has been one of the most active research areas specifically for industrial applications. However, most of the conventional RGB SR models available in the literature are not necessarily applicable to thermal images due to their difference in characteristics when compared to normal camera images. The recent advancement in the field of deep learning-based SR has helped achieve unbelievable results. Despite the advancement in models like deep convolution neural networks (CNN) and Generative adversarial networks, there remain multiple problems unsolved that will help improve the spatial resolution of thermal images. Not only the developed model should be computationally efficient but also easily implementable in industrial applications. Motivated to overcome the said limitations, in this work a generative adversarial network (GAN) based single images super-resolution architecture is proposed for thermal camera images. The developed model not only generates at par results with the other model but also is easy to implement and computationally efficient. The modified architecture has an identical layout inspired by SRGAN. In order to make the model faster to train while having less training parameters, the number of residual blocks was reduced to 5. The batch normalization layers were excluded from the residual blocks of both the Generator and Discriminator networks to remove the redundancy. Before each convolution layer, reflective padding is utilized at the edges to preserve the size of the feature maps. The comparative results revealed that the proposed network trained on thermal images produced high-quality images with enhanced details, while still maintaining image features and perspective throughout. The experimental results show that the proposed model has achieved a reduction in computation time compared to the State-of-the-Art method. The suggested strategy has outperformed the SOTA methods with the improvement of approximately 2dB in PSNR along with 0.9825 of SSIM.","PeriodicalId":201741,"journal":{"name":"2021 Advanced Communication Technologies and Signal Processing (ACTS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130545436","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

Performance Evaluation of Visible Light Communication System based on Optical Power Distribution with Channel Delay Spread and SNR 基于信道延迟扩展和信噪比的光功率分配的可见光通信系统性能评价

2021 Advanced Communication Technologies and Signal Processing (ACTS) Pub Date : 2021-12-15 DOI: 10.1109/ACTS53447.2021.9708215

Mangal Singh, Saurav Gupta, S. Yadav, Vipin Pal, S. K. Patra

引用次数: 0

LinArc - Deep Face Recognition Using LinCos And ArcFace LinArc -使用LinCos和ArcFace的深度人脸识别

2021 Advanced Communication Technologies and Signal Processing (ACTS) Pub Date : 2021-12-15 DOI: 10.1109/ACTS53447.2021.9708195

Ravi Chopra, J. Dhar, Vinal Patel

引用次数: 2

A Graphene-Based Broadband Metamaterial Absorber 基于石墨烯的宽带超材料吸收体

2021 Advanced Communication Technologies and Signal Processing (ACTS) Pub Date : 2021-12-15 DOI: 10.1109/ACTS53447.2021.9708250

Laxmi Narayana Deekonda, S. Sahu, A. Panda

引用次数: 1

AMC based Flexible Wearable Antenna with low SAR and Improved Gain for ISM band Applications 基于AMC的低SAR增益柔性可穿戴天线

2021 Advanced Communication Technologies and Signal Processing (ACTS) Pub Date : 2021-12-15 DOI: 10.1109/ACTS53447.2021.9708363

B. A. Babu, Madhav Boddapati, Kantamneni Srilatha

引用次数: 0

Semantic segmentation of lungs using a modified U-Net architecture through limited Computed Tomography images 通过有限的计算机断层扫描图像，使用改进的U-Net架构对肺部进行语义分割

2021 Advanced Communication Technologies and Signal Processing (ACTS) Pub Date : 2021-12-15 DOI: 10.1109/ACTS53447.2021.9708190

A. Bhattacharjee, R. Murugan, Tripti Goel, B. Soni

引用次数: 4

A Code-Diverse Tulu-English Dataset For NLP Based Sentiment Analysis Applications 基于NLP的情感分析应用的代码多样性图鲁-英语数据集

2021 Advanced Communication Technologies and Signal Processing (ACTS) Pub Date : 2021-12-15 DOI: 10.1109/ACTS53447.2021.9708241

Prashanth Kannadaguli

{"title":"A Code-Diverse Tulu-English Dataset For NLP Based Sentiment Analysis Applications","authors":"Prashanth Kannadaguli","doi":"10.1109/ACTS53447.2021.9708241","DOIUrl":"https://doi.org/10.1109/ACTS53447.2021.9708241","url":null,"abstract":"Due to expanded praxis of social media, there is an elevated interest in the Natural Language Processing (NLP) of textual substance. Code swapping is a ubiquitous paradox in multilingual nation and the social communication shows mixing of a low resourced language with a highly resourced language mostly written in non-native script in the same text. It is essential to refine the code swapped text to support distinctive NLP tasks such as Machine Translation, Automated Conversational Systems and Sentiment Analysis (SA). The preeminent objective of SA is to identify and analyze the attitude, opinion, emotion or the sentiment in the dataset. Though there are multiple systems skilled on monodialectal dataset, all of them break down when it comes for code-diverse data because of the heightened intricacy of blending at various standards of text. Nonetheless, there exist a smaller number of assets for modelling such definitive code-mixed data and the Machine Learning or the Deep Learning algorithms enforcing supervised learning approach yield the better results compared to the unsupervised learning. Such datasets are available for Hindi-English, Tamil-English, Malayalam-English, Bengali-English, German-English, Spanish-English, Japanese-English, Arabic-English etc. Though our research is concentrated towards NLP for emotion and sentiment detection of Tulu, a vibrant south Indian language, to start with, we build the first ever platinum standard corpus for NLP applications of code-diverse text in Tulu-English, as there is no such resource in our native language. The performance analysis of our dataset through Krippendorff’s Alpha value of 0.9 indicates that it is a benchmark in development of Automatic Sentiment Analysis system for Tulu.","PeriodicalId":201741,"journal":{"name":"2021 Advanced Communication Technologies and Signal Processing (ACTS)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115498151","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

Development of an Algorithm for Reducing Signalling Overhead Cost in 5G Networks 一种降低5G网络信令开销的算法研究

2021 Advanced Communication Technologies and Signal Processing (ACTS) Pub Date : 2021-12-15 DOI: 10.1109/ACTS53447.2021.9708301

Aman Sanwal, Shekhar Singh, P. M. Pradhan

{"title":"Development of an Algorithm for Reducing Signalling Overhead Cost in 5G Networks","authors":"Aman Sanwal, Shekhar Singh, P. M. Pradhan","doi":"10.1109/ACTS53447.2021.9708301","DOIUrl":"https://doi.org/10.1109/ACTS53447.2021.9708301","url":null,"abstract":"The 5G mobile networks aim to accomplish the austere requirements on data rates, reliability, and connectivity. In order to achieve these objectives, heterogeneous radio access technologies are used. In order to use the technology efficiently, massive connectivity of devices has been proposed in 3GPP Release 15. In the stand alone architecture, small base stations are deployed without any dependency on LTE core network. Increase in the number of devices will lead to an increase in signalling overhead consisting of tracking area update and paging overhead. This paper proposes an approach to reduce the signalling cost using clustering algorithm. The base stations form clusters using the proposed algorithm, and act as static cluster heads. The clustering algorithm is used to connect different types of User Equipments (UEs), including the vehicles, machines and various stationary IoT devices. In addition, this paper also deals with a hybrid scenario which represents the unification of both the layers (LTE and NR) for the initial rollout of the 5G to fill the coverage gaps. Simulation results show that the proposed scheme provides better performance in terms of reduced energy consumption by the UEs.","PeriodicalId":201741,"journal":{"name":"2021 Advanced Communication Technologies and Signal Processing (ACTS)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124486328","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

Modelling and Analysis of Large Buffer Probe for B3R Congestion Control Algorithm B3R拥塞控制算法中大缓冲探针的建模与分析

2021 Advanced Communication Technologies and Signal Processing (ACTS) Pub Date : 2021-12-15 DOI: 10.1109/ACTS53447.2021.9708264

Tarun Singhania, W. Arif, D. Sen

{"title":"Modelling and Analysis of Large Buffer Probe for B3R Congestion Control Algorithm","authors":"Tarun Singhania, W. Arif, D. Sen","doi":"10.1109/ACTS53447.2021.9708264","DOIUrl":"https://doi.org/10.1109/ACTS53447.2021.9708264","url":null,"abstract":"Bottleneck Bandwidth and Round-trip time (BBR) congestion control is the first congestion control to claim to operate at Kleinrock’s optimal operating point without filling up queues and high packet loss. Recent research on BBR revealed that inter protocol unfairness was observed in terms of bandwidth share due to the insignificant queue share occupied by loss based Congestion Control Algorithm (CCA) flows when bottleneck buffer size shared by the flows were less than two times the product of bandwidth and delay (BDP) for the bottleneck link. Also, when buffer sizes exceeded twice its BDP, the longer Round Trip Time (RTT) BBR flows dominated over shorter RTT BBR flows by grasping a greater portion of bottleneck link bandwidth (intra protocol unfairness). As inter protocol unfairness can cause other TCP variants to lose throughput and CUBIC is still one of the most widely used CCA’s, it is important to establish fairness. Inter protocol unfairness can currently allow latency cheating which allows individuals to add artificial latency to get a better share of bandwidth. In this paper, we present Bottleneck Bandwidth Buffer and Round-trip propagation time (B3R) which uses a modified BBR Congestion Control Algorithm (CCA) when operating under the above mentioned bottleneck buffer sizes to reduce inter/intra protocol unfairness. The results obtained after testing the algorithm are very encouraging; B3R improved inter protocol fairness by increasing CUBIC flows from 3% of bottleneck link bandwidth up to 31% and ensured complete intra B3R fairness for up to 4x RTT differences. B3R also helped reduce queue formation on the bottleneck by up to 50%","PeriodicalId":201741,"journal":{"name":"2021 Advanced Communication Technologies and Signal Processing (ACTS)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130263339","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

An Array of Tulip-Flower Shaped Printed Radiators for Direct Broadcast Satellite (DBS) Applications 用于直播卫星(DBS)应用的一组郁金香花形印刷散热器

2021 Advanced Communication Technologies and Signal Processing (ACTS) Pub Date : 2021-12-15 DOI: 10.1109/ACTS53447.2021.9708174

K. Kola, A. Chatterjee

引用次数: 0