Mohammad Faizuddin Mohd Noor

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We demonstrate that front-of-screen targeting on mobile phones can be predicted from back-of-device grip manipulations. Using simple, low-resolution capacitive touch sensors placed around a standard phone, we outline a machine learning approach to modelling the grip modulation and inferring front-of-screen touch targets. We experimentally demonstrate that(More)
We show that when users make errors on mobile devices they make immediate and distinct physical responses that can be observed with standard sensors. We used three standard cognitive tasks (Flanker, Stroop and SART) to induce errors from 20 participants. Using simple low-resolution capacitive touch sensors placed around a standard mobile device and the(More)
Computer Applications in Power System is place an important role to verify the system performance and real time monitoring systems. Most of the Electrical system uses LABVIEW and other software to monitor real time electrical transition. In this paper we are focusing on Power Electronic Conversion system. Power Electronic System is easily simulated using(More)
This research was carried out at the Agriculture Research Farm, Khyber Pakhtunkhwa Agricultural University, Peshawar, and the Cereal Crops Research Institute, Pirsabak, Nowshera, during 2009 and 2010. Half-sib families (HS) derived from the maize variety Pahari in spring crop seasons 2009 and 2010 were developed at the Cereal Crops Research Institute. All(More)
We present a novel authentication method to identify users as they pick up a mobile device. We use a combination of back-of-device capacitive sensing and accelerometer measurements to perform classification, and obtain increased performance compared to previous accelerometer-only approaches. Our initial results suggest that users can be reliably identified(More)
This study was conducted to examine the egg hatching rates of brown-marbled grouper, Epinephelus fuscoguttatus under different light conditions in terms of light wavelengths and intensities. Results of two-way ANOVA showed significant difference for light wavelengths (p<0.05), while light intensities showed no significant difference. There was no(More)
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