6 results match your criteria: "Vellore Institute of Technology (VIT) Chennai[Affiliation]"

In this study, bismuth ferrite (BFO) and copper-added BFO were synthesized using the coprecipitation method. The incorporation of copper into the BFO lattice led to a reduction in the phase percentage of BFO due to the early formation of CuBiO. X-ray diffraction analysis revealed a decrease in crystallite size up to 0.

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Obstructive sleep apnea (OSA) is a disorder which blocks the upper airway during sleep. The severity of OSA will lead heart attack, stroke and end of life. This proposed study explored the classification of OSA and healthy subjects using brain connectivity analysis from electroencephalogram (EEG) signals.

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In this study, the effects of incorporating cerium oxide into diesel and WPO blends were investigated to determine the potential of the blend as a fuel additive. The study aimed to assess engine-performance, emission, and combustion properties of the blend. The experiments utilized a single-cylinder diesel engine, and researchers prepared two different blends of WPO with 25% WPO in diesel and 50% WPO in diesel.

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Structural formation of multifunctional NiMoO nanorods for thermoelectric applications.

Phys Chem Chem Phys

October 2022

Division of Physics, School of Advanced Sciences, Vellore Institute of Technology (VIT) Chennai, Vandalur - Kelambakkam Road, Chennai - 600127, India.

We report on the synthesis and characterization of NiMoO (NMO) nanorods the hydrothermal method. The High-Resolution Scanning Electron Microscopy (HRSEM) image reveals the nanorod morphology of NMO. The formation of mixed phase α,β-NMO is confirmed and the crystallite size of the nanorods is measured to be 40 nm from the XRD data.

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Classification of Sleep Apnea Based on Sub-Band Decomposition of EEG Signals.

Diagnostics (Basel)

August 2021

School of Electronics Engineering, Vellore Institute of Technology (VIT) Chennai, Vellore 600127, Tamil Nadu, India.

To classify between normal and sleep apnea subjects based on sub-band decomposition of electroencephalogram (EEG) signals. This study comprised 159 subjects obtained from the ISRUC (Institute of System and Robotics-University of Coimbra), Sleep-EDF (European Data Format), and CAP (Cyclic Alternating Pattern) Sleep database, which consists of normal and sleep apnea subjects. The wavelet packet decomposition method was incorporated to categorize the EEG signals into five frequency bands, namely, alpha, beta, delta, gamma, and theta.

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A Review on Surface Stress-Based Miniaturized Piezoresistive SU-8 Polymeric Cantilever Sensors.

Nanomicro Lett

February 2018

School of Electronics Engineering (SENSE), Vellore Institute of Technology (VIT) Chennai, Chennai, Tamil Nadu, 600127, India.

In the last decade, microelectromechanical systems (MEMS) SU-8 polymeric cantilevers with piezoresistive readout combined with the advances in molecular recognition techniques have found versatile applications, especially in the field of chemical and biological sensing. Compared to conventional solid-state semiconductor-based piezoresistive cantilever sensors, SU-8 polymeric cantilevers have advantages in terms of better sensitivity along with reduced material and fabrication cost. In recent times, numerous researchers have investigated their potential as a sensing platform due to high performance-to-cost ratio of SU-8 polymer-based cantilever sensors.

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