2021 National Conference on Communications (NCC)最新文献_第9页

Auto-SCMA: Learning Codebook for Sparse Code Multiple Access using Machine Learning Auto-SCMA:使用机器学习的稀疏代码多址学习代码本

2021 National Conference on Communications (NCC) Pub Date : 2021-07-27 DOI: 10.1109/NCC52529.2021.9530173

Ekagra Ranjan, Ameya Vikram, A. Rajesh, P. Bora

引用次数: 2

Wideband Circuit Analog Absorber Using Modified Resistive Cross-Dipoles 采用改进电阻交叉偶极子的宽带电路模拟吸收器

2021 National Conference on Communications (NCC) Pub Date : 2021-07-27 DOI: 10.1109/NCC52529.2021.9530183

Aditya Mandar Jabade, H. Sonalikar

引用次数: 2

Performance Analysis of Convolutional Neural Network Based EEG Epileptic Seizure Classification in Presence of Ocular Artifacts 眼部伪影存在下基于卷积神经网络的脑电图癫痫发作分类性能分析

2021 National Conference on Communications (NCC) Pub Date : 2021-07-27 DOI: 10.1109/NCC52529.2021.9530053

Payal Patel, U. Satija

{"title":"Performance Analysis of Convolutional Neural Network Based EEG Epileptic Seizure Classification in Presence of Ocular Artifacts","authors":"Payal Patel, U. Satija","doi":"10.1109/NCC52529.2021.9530053","DOIUrl":"https://doi.org/10.1109/NCC52529.2021.9530053","url":null,"abstract":"Recently, convolutional neural network (CNN) has played a crucial role in classifying epileptic seizures due to its capability of automatically learning the discriminatory features from the raw electroencephalogram (EEG) data. Moreover, most of the existing methods considered artifact-free EEG data for extracting features. In this paper, we analyze the impact of ocular artifacts on the performance of CNN in extracting reliable features from the EEG data for seizure classification. Furthermore, we also analyze the robustness of CNN in determining the accurate and reliable features not only from raw EEG data but also from spectral domain EEG data. The performance of the method is evaluated on the EEG signals taken from the Bonn's dataset with different types and levels of ocular artifacts. Performance evaluation results demonstrate that the classification accuracy of the method is degraded significantly under the presence of ocular artifacts. Furthermore, it is observed that the proposed CNN architecture is able to extract the discriminatory features from spectral EEG data more accurately as compared to the raw temporal EEG data.","PeriodicalId":414087,"journal":{"name":"2021 National Conference on Communications (NCC)","volume":"91 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":"125109882","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

Implementation of a Spiking Neuron in CMOS 脉冲神经元在CMOS中的实现

2021 National Conference on Communications (NCC) Pub Date : 2021-07-27 DOI: 10.1109/NCC52529.2021.9530104

Iman Burman, Archita Hore, Ayan Chakraborty, Sharba Bandyopadhyay, S. Chakrabarti

引用次数: 3

An Optical Flow Based Approach to Detect Movement Epenthesis in Continuous Fingerspelling of Sign Language 基于光流的手势语连续拼写运动扩展检测方法

2021 National Conference on Communications (NCC) Pub Date : 2021-07-27 DOI: 10.1109/NCC52529.2021.9530076

Navneet Nayan, D. Ghosh, P. M. Pradhan

{"title":"An Optical Flow Based Approach to Detect Movement Epenthesis in Continuous Fingerspelling of Sign Language","authors":"Navneet Nayan, D. Ghosh, P. M. Pradhan","doi":"10.1109/NCC52529.2021.9530076","DOIUrl":"https://doi.org/10.1109/NCC52529.2021.9530076","url":null,"abstract":"In this paper, the movement epenthesis problem in continuous fingerspelling is addressed. Movement epenthesis caused due to unwanted but unavoidable hand movement in between two sign gestures in continuous signing is one of the major problems in automatic sign language recognition. A novel method based on calculating the 2-norm values of the magnitude matrices of optical flow has been proposed in this paper to detect the movement epenthesis containing video frames. We used Horn-Schunck method to compute the optical flow and estimate the speed of hands in the the continuous fingerspelling videos. The 2-norm values of the magnitude matrix of optical flow provides a discriminative feature to distinguish of movement epenthesis frames from sign frames and hence mean of the 2-norm values is used as the threshold value to detect the movement epenthesis frames in a gesture video. We tested our method on continuous fingerspelling videos of Indian sign language. Experimental results show that the performance of our proposed method is 100% accurate in detecting the movement epenthesis frames in continuous fingerspelling.","PeriodicalId":414087,"journal":{"name":"2021 National Conference on Communications (NCC)","volume":"12 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":"115792939","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

A Level Set Model Driven by New Signed Pressure Force Function for Image Segmentation 一种新的带符号压力函数驱动的水平集模型用于图像分割

2021 National Conference on Communications (NCC) Pub Date : 2021-07-27 DOI: 10.1109/NCC52529.2021.9530100

Soumen Biswas, Ranjay Hazra, S. Prasad, Arvind Sirvee

引用次数: 0

Joint Bandwidth and Position Optimization in UAV Networks Deployed for Disaster Scenarios 灾难场景下无人机网络联合带宽和位置优化

2021 National Conference on Communications (NCC) Pub Date : 2021-07-27 DOI: 10.1109/NCC52529.2021.9530185

Neetu R.R., Akshita Gupta, Gourab Ghatak, A. Srivastava, V. Bohara

{"title":"Joint Bandwidth and Position Optimization in UAV Networks Deployed for Disaster Scenarios","authors":"Neetu R.R., Akshita Gupta, Gourab Ghatak, A. Srivastava, V. Bohara","doi":"10.1109/NCC52529.2021.9530185","DOIUrl":"https://doi.org/10.1109/NCC52529.2021.9530185","url":null,"abstract":"In this paper, we consider a disaster-affected area that has lost cellular connectivity. In such a scenario, we study a unmanned aerial vehicle (UAV) network deployed to restore the user connections to the core network. In particular, we propose a resource partitioning scheme for integrated access and backhaul in the downlink to sustain the user connections. First, we derive an analytical expression for the throughput coverage probability for the access (i.e., UAV to user) and the backhaul (i.e., terrestrial base station (BS) to UAV) links. Then, we investigate the optimal position of the UAV and the optimal partitioning of the frequency resources between the access and the backhaul links to maximize the coverage of the users. Our study highlights that as the number of users in the network and/or their throughput demand increases, the optimal UAV position moves towards the center of the disaster-affected area. Moreover, in that case, a higher fraction of the available frequency resources must be provisioned for the access links. On the contrary, when the backhaul throughput requirements are high, or when terrestrial BSs are sparsely deployed, the optimal UAV position is at the edge of the disaster-affected area. Thus, this study provides key system-design insights to a network operator to deploy ad hoc areal networks to extend cellular coverage.","PeriodicalId":414087,"journal":{"name":"2021 National Conference on Communications (NCC)","volume":"16 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":"125700172","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

Optical sideband interference using optical IQ and Mach-Zehnder modulators 利用光学IQ和马赫-曾德尔调制器的光学边带干涉

2021 National Conference on Communications (NCC) Pub Date : 2021-07-27 DOI: 10.1109/NCC52529.2021.9530014

G. Kumar, Nishanth Chandra, P. Krishnamurthy

引用次数: 0

Heart Rate Estimation from RGB Facial Videos Using Robust Face Demarcation and VMD 基于鲁棒人脸分割和VMD的RGB人脸视频心率估计

2021 National Conference on Communications (NCC) Pub Date : 2021-07-27 DOI: 10.1109/NCC52529.2021.9530067

Arya Deo Mehta, H. Sharma

{"title":"Heart Rate Estimation from RGB Facial Videos Using Robust Face Demarcation and VMD","authors":"Arya Deo Mehta, H. Sharma","doi":"10.1109/NCC52529.2021.9530067","DOIUrl":"https://doi.org/10.1109/NCC52529.2021.9530067","url":null,"abstract":"The recent studies suggest the feasibility of accessing crucial health parameters through contactless means with an RGB camera placed at a distance. As high-quality RGB cameras are getting more cost-effective due to the drastic evolution in imaging technology, the camera-based health monitoring is evoking a considerable interest among researchers. This development may provide a better alternative to the conventional contact-based methods, as it promises a convenient and contactless long term vital sign monitoring solution that doesn't restrict personal mobility. This paper introduces an effective approach towards monitoring heart rate (HR) from facial videos using an RGB camera in wild practical scenarios. The proposed approach introduces the face symmetry-based quality scoring, which is an essential step to ensure quality face detection and avoid false face detections in videos captured in a practical scenario. Further, steps such as feature points generation for optimum masking and variational mode decomposition (VMD) based filtering assist in obtaining a signal dominated mainly by the HR component. Two publicly available datasets comprising the video signals at different frame rates collected from the subjects with diverse ethnicities and skin tones are used to access the performance of the technique. The proposed approach achieved a mean absolute error of 6.58 beats per minute (BPM) on the COHFACE (Good illumination) dataset class, 9.11 BPM on the COHFACE (Bad illumination) dataset class and 6.37 BPM on the DEAP dataset class outperforming some of the state-of-art methods affirming its effectiveness in the estimation of HR in more realistic scenarios.","PeriodicalId":414087,"journal":{"name":"2021 National Conference on Communications (NCC)","volume":"1 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":"125376436","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: 5

Coupling Length Analysis by Using Three Strips for Compact Design of Photonic Waveguide in Photonic Integrated Circuit 光子集成电路中光子波导紧凑型设计中的三条带耦合长度分析

2021 National Conference on Communications (NCC) Pub Date : 2021-07-27 DOI: 10.1109/NCC52529.2021.9530121

Veer Chandra, Santosh Kumar, Rakesh Ranjan

引用次数: 0