Výsledky vyhledávání - "Mario Palendeng"

A Design of Distributed Secondary Control for Stability Improvement in High-Capacity Inverter Testing of Islanded AC Microgrid

Autor: Khang C. Nguyen, Mario Palendeng, Behrooz Bahrani, Suresh N. Thennadil

Publikováno v: 2022 IEEE Sustainable Power and Energy Conference (iSPEC).

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::9e1a232ddfa29bcdb65e3f9b502a36dc
https://doi.org/10.1109/ispec54162.2022.10033016

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Estimation of Chronological Age of Cattle Using Spatially Resolved Diffuse Reflectance Measurements of Hide

Autor: Peter McGilchrist, Tharcilla I.R.C. Alvarenga, Mario Palendeng, Stephanie M. Fowler, David L. Hopkins, Suresh Thennadil

Publikováno v: IEEE Sensors Journal. 20:8673-8682

Determining the age of the cattle is important in the cattle industry especially for trading purposes. Dentition and ossification scores are currently used to estimate the age of cattle. Both these methods have limitations which can create significan

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::829adbc287ee26fb8be9c2bd816d851a
https://doi.org/10.1109/jsen.2020.2983455

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Real-time depth of anaesthesia assessment using strong analytical signal transform technique

Autor: Mario Palendeng, Peng Wen, Yan Li

Publikováno v: Australasian Physical & Engineering Sciences in Medicine. 37:723-730

This paper introduces a new method addressing depth of anaesthesia (DoA) assessment for real-time monitoring. The new method uses a combination of phase and amplitude of electroencephalogram (EEG) signals to assess the DoA level. A strong analytical

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6d23560514cff783b16a08bdc92442a3
https://doi.org/10.1007/s13246-014-0309-2

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Investigation of Bispectral Index filtering and improvement using wavelet transform adaptive filter

Autor: Peng Wen, Steven Goh, Mario Palendeng

Publikováno v: 2010 IEEE International Conference on Nano/Molecular Medicine and Engineering.

Electroencephalogram (EEG) signals are often contaminated with artifacts such as electromyography (EMG), eye blink and eye ball movement. These contaminated EEG signals may give incorrect values of Bispectral Index. If fixed band-pass filter is used

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::0ac91a04f6349cd8ed334832fd600c7a
https://doi.org/10.1109/nanomed.2010.5749796

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