0000000000235153

AUTHOR

M. Sabarimalai Manikandan

showing 3 related works from this author

Unified Quality-Aware Compression and Pulse-Respiration Rates Estimation Framework for Reducing Energy Consumption and False Alarms of Wearable PPG M…

2023

Due to the high demands of tiny, compact, lightweight, and low-cost photoplethysmogram (PPG) monitoring devices, these devices are resource-constrained including limited battery power. Consequently, it highly demands frequent charge or battery replacement in the case of continuous PPG sensing and transmission. Further, PPG signals are often severely corrupted under ambulatory and exercise recording conditions, leading to frequent false alarms. In this paper, we propose a unified quality-aware compression and pulse-respiration rates estimation framework for reducing energy consumption and false alarms of wearable and edge PPG monitoring devices by exploring predictive coding techniques for j…

VDP::Teknologi: 500General Computer ScienceGeneral EngineeringGeneral Materials ScienceElectrical and Electronic Engineering
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Localization of Multi-Class On-Road and Aerial Targets Using mmWave FMCW Radar

2021

mmWave radars play a vital role in autonomous systems, such as unmanned aerial vehicles (UAVs), unmanned surface vehicles (USVs), ground station control and monitoring systems. The challenging task when using mmWave radars is to estimate the accurate angle of arrival (AoA) of the targets, due to the limited number of receivers. In this paper, we present a novel AoA estimation technique, using mmWave FMCW radars operating in the frequency range 77–81 GHz by utilizing the mechanical rotation. Rotating the radar also increases the field of view in both azimuth and elevation. The proposed method estimates the AoA of the targets, using only a single transmitter and receiver. The measurements are…

mmWave radarTK7800-8360Computer Networks and CommunicationsComputer scienceangle of arrival (AoA)Field of viewFMCW radarlocalizationlaw.inventionlawAngle of arrivalmulti-class targetsElectrical and Electronic EngineeringRadarVDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550Remote sensingTransmitterElevationmmWave radar; FMCW radar; localization; multi-class targets; angle of arrival (AoA); azimuth angle; elevation angle; range-angle maps; morphological operators; unmanned aerial vehicle localization; UAV localizationazimuth angleDroneAzimuthContinuous-wave radarHardware and ArchitectureControl and Systems EngineeringSignal ProcessingElectronicsElectronics; Volume 10; Issue 23; Pages: 2905
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Efficient Hardware Architectures for Accelerating Deep Neural Networks: Survey

2022

In the modern-day era of technology, a paradigm shift has been witnessed in the areas involving applications of Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL). Specifically, Deep Neural Networks (DNNs) have emerged as a popular field of interest in most AI applications such as computer vision, image and video processing, robotics, etc. In the context of developed digital technologies and the availability of authentic data and data handling infrastructure, DNNs have been a credible choice for solving more complex real-life problems. The performance and accuracy of a DNN is a way better than human intelligence in certain situations. However, it is noteworthy that …

VDP::Teknologi: 500General Computer ScienceGeneral EngineeringGeneral Materials ScienceElectrical and Electronic EngineeringVDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550
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