Some practical issues related to inductor model in single-sensor measurement technique

Author(s):  
Dongyuan Qiu ◽  
S.Y.R. Hui ◽  
H.S.H. Chung
2020 ◽  
Author(s):  
Aniebietabasi Ackley ◽  
Michael Donn ◽  
geoff Thomas

The New Zealand Ministry of Education (MoE) has begun measuring the light, temperature, noise and CO2 level of 21 selected schools using a single sensor. This sensor is being developed as a method for routine measurement in order to understand the performance of New Zealand's school buildings. This study used a Climate Based Daylight Modelling to appraise the MoE methodology, to determine what can be learned from the use of a single sensor in one location in a classroom, to estimate the lighting comfort across a space. Daylighting is focused upon because it has the most spatial variation in a space. The findings of this study support the assertion that a one-point sensor measurement on a vertical wall could predict illuminance across the centre of the horizontal work plane; and provide a useful benchmark to estimate the light distribution across a space. However, regardless of how representative of a space a one-point measurement is, it is difficult to quantify the daylight distribution over time throughout the space. If various daylight indicators are well documented and analysed alongside the measured data, a strategically positioned one-point sensor on the vertical wall could be useful in predicting the daylight quantity of a space.


2020 ◽  
Author(s):  
Aniebietabasi Ackley ◽  
Michael Donn ◽  
geoff Thomas

The New Zealand Ministry of Education (MoE) has begun measuring the light, temperature, noise and CO2 level of 21 selected schools using a single sensor. This sensor is being developed as a method for routine measurement in order to understand the performance of New Zealand's school buildings. This study used a Climate Based Daylight Modelling to appraise the MoE methodology, to determine what can be learned from the use of a single sensor in one location in a classroom, to estimate the lighting comfort across a space. Daylighting is focused upon because it has the most spatial variation in a space. The findings of this study support the assertion that a one-point sensor measurement on a vertical wall could predict illuminance across the centre of the horizontal work plane; and provide a useful benchmark to estimate the light distribution across a space. However, regardless of how representative of a space a one-point measurement is, it is difficult to quantify the daylight distribution over time throughout the space. If various daylight indicators are well documented and analysed alongside the measured data, a strategically positioned one-point sensor on the vertical wall could be useful in predicting the daylight quantity of a space.


2020 ◽  
Vol 2020 (1) ◽  
pp. 91-95
Author(s):  
Philipp Backes ◽  
Jan Fröhlich

Non-regular sampling is a well-known method to avoid aliasing in digital images. However, the vast majority of single sensor cameras use regular organized color filter arrays (CFAs), that require an optical-lowpass filter (OLPF) and sophisticated demosaicing algorithms to suppress sampling errors. In this paper a variety of non-regular sampling patterns are evaluated, and a new universal demosaicing algorithm based on the frequency selective reconstruction is presented. By simulating such sensors it is shown that images acquired with non-regular CFAs and no OLPF can lead to a similar image quality compared to their filtered and regular sampled counterparts. The MATLAB source code and results are available at: http://github. com/PhilippBackes/dFSR


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