0000000000135649

AUTHOR

Akhil Mathur

showing 2 related works from this author

Low-Power Audio Keyword Spotting using Tsetlin Machines

2021

The emergence of Artificial Intelligence (AI) driven Keyword Spotting (KWS) technologies has revolutionized human to machine interaction. Yet, the challenge of end-to-end energy efficiency, memory footprint and system complexity of current Neural Network (NN) powered AI-KWS pipelines has remained ever present. This paper evaluates KWS utilizing a learning automata powered machine learning algorithm called the Tsetlin Machine (TM). Through significant reduction in parameter requirements and choosing logic over arithmetic based processing, the TM offers new opportunities for low-power KWS while maintaining high learning efficacy. In this paper we explore a TM based keyword spotting (KWS) pipe…

FOS: Computer and information sciencesspeech commandSound (cs.SD)Computer scienceSpeech recognition02 engineering and technologykeyword spottingMachine learningcomputer.software_genreComputer Science - SoundReduction (complexity)Audio and Speech Processing (eess.AS)020204 information systemsFOS: Electrical engineering electronic engineering information engineering0202 electrical engineering electronic engineering information engineeringElectrical and Electronic EngineeringArtificial neural networkLearning automatabusiness.industrylearning automatalcsh:Applications of electric power020206 networking & telecommunicationslcsh:TK4001-4102Pipeline (software)Power (physics)machine learningTsetlin MachineMFCCKeyword spottingelectrical_electronic_engineeringScalabilityMemory footprintpervasive AI020201 artificial intelligence & image processingMel-frequency cepstrumArtificial intelligencebusinesscomputerartificial neural networkEfficient energy useElectrical Engineering and Systems Science - Audio and Speech Processing
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Control and power management of Photovoltaic-battery based micro grid

2016

The growing demand for electrical power and the interruption of the power supply has paved the way for the realization of renewable based energy generation. This paper presents the control and power management of a hybrid microgrid system that comprises Photovoltaic (PV) array, battery, and local AC load, connected to the utility grid. This work focuses on the compensation of PV power reduction due to partial shading using bidirectional half bridge converter with battery storage. This system considers fulfilling the local load demand through PV production and, then, to manage the power among the battery and grid. In the proposed system, the considered power conditioning devices area boost c…

EngineeringBuck converterbusiness.industry020209 energyPhotovoltaic systemElectrical engineering02 engineering and technologyMaximum power point trackingPower optimizerStand-alone power systemDistributed generationBoost converter0202 electrical engineering electronic engineering information engineeringGrid-connected photovoltaic power systembusiness2016 3rd International Conference on Electrical Energy Systems (ICEES)
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