Measurement devices for conducted EMI

2011 ◽  
pp. 48-71
Keyword(s):  
Measurement Devices ◽  
Conducted Emi

Metrological support of individual blood glucose meters in telemedicine

2019 ◽  
pp. 52-56
Author(s):  
Yu.F. Glukhov ◽  
N.V. Krutikov ◽  
A.V. Ivanov ◽  
N.P. Muravskaya
Keyword(s):  
Blood Glucose ◽  
Blood Glucose Level ◽  
Glucose Level ◽  
Measurement Data ◽  
Test Method ◽  
Level Measurement ◽  
Measurement Devices ◽  
Real Practice ◽  
Health Care Centers ◽  
Medical Measurement

We have studied and analyzed status and metrological supervision of blood glucose monitors, individual devices for a person’s blood glucose level measurement. It has been indicated that nowadays blood glucose monitors like other individual devices for medical measurement are not allowed to be involved in telemedicine public service. This accounts for absence of metrological supervision with these measurement devices in telemedicine. In addition, the key problem is absence of safe methods and means of remote verificaition, calibration and transmission of measurement data to health care centers. The article offers a remote test method for blood glucose monitors using a number of resistors with values correlating with measured blood glucose level. The available method has been successfully trialed in real practice.

A Carrier-Phase Control Suitable for Conducted EMI Noise Reduction in a Multiple-Converter System

2011 ◽  
Vol 131 (6) ◽  
pp. 811-819
Author(s):  
Michio Tamate ◽  
Akio Toba ◽  
Yasushi Matsumoto ◽  
Keiji Wada ◽  
Toshihisa Shimizu
Keyword(s):  
Noise Reduction ◽  
Carrier Phase ◽  
Phase Control ◽  
Conducted Emi

One-shot Multi-angle Measurement Device for Evaluating the Sparkle Impression

2020 ◽  
Vol 2020 (5) ◽  
pp. 60401-1-60401-8
Author(s):  
Shuhei Watanabe
Keyword(s):  
Spatial Frequency ◽  
Product Design ◽  
Angle Measurement ◽  
Observation Angle ◽  
Light Sources ◽  
Quantification Method ◽  
Material Appearance ◽  
Subjective Score ◽  
Measurement Devices ◽  
Rotation Stage

The quantification of material appearance is important in product design. In particular, the sparkle impression of metallic paint used mainly for automobiles varies with the observation angle. Although several evaluation methods and multi-angle measurement devices have been proposed for the impression, it is necessary to add more light sources or cameras to the devices to increase the number of evaluation angles. The present study constructed a device that evaluates the multi-angle sparkle impression in one shot and developed a method for quantifying the impression. The device comprises a line spectral camera, light source, and motorized rotation stage. The quantification method is based on spatial frequency characteristics. It was confirmed that the evaluation value obtained from the image recorded by the constructed device correlates closely with a subjective score. Furthermore, the evaluation value is significantly correlated with that obtained using a commercially available evaluation device.

CM and DM conducted EMI modelling of PMSM VSD system with non-ideal LISN

2020 ◽  
Vol 14 (8) ◽  
pp. 1396-1404
Author(s):  
Alireza Rahimi ◽  
Khalil Kanzi
Keyword(s):  
Conducted Emi

scholarly journals Study on synthetic system for conducted EMI noise analysis and suppression+

2009 ◽  
Vol 1 (1) ◽  
pp. 1593-1598 ◽  
Author(s):  
Zhao Yang ◽  
Lu Xiao-quan ◽  
Dong Ying-hua ◽  
Feng Zhi-ming ◽  
Zhao Bo ◽  
...  
Keyword(s):  
Noise Analysis ◽  
Conducted Emi

scholarly journals LumNet

2021 ◽  
Vol 5 (2) ◽  
pp. 1-20
Author(s):  
Prince U.C. Songwa ◽  
Aaqib Saeed ◽  
Sachin Bhardwaj ◽  
Thijs W. Kruisselbrink ◽  
Tanir Ozcelebi
Keyword(s):  
Control Systems ◽  
Real Life ◽  
Visual Performance ◽  
Lighting Control ◽  
Domain Specific ◽  
Real Life Setting ◽  
Added Benefit ◽  
Measurement Devices ◽  
Indoor Spaces ◽  
Learned Features

High-quality lighting positively influences visual performance in humans. The experienced visual performance can be measured using desktop luminance and hence several lighting control systems have been developed for its quantification. However, the measurement devices that are used to monitor the desktop luminance in existing lighting control systems are obtrusive to the users. As an alternative, ceiling-based luminance projection sensors are being used recently as these are unobtrusive and can capture the direct task area of a user. The positioning of these devices on the ceiling requires to estimate the desktop luminance in the user's vertical visual field, solely using ceiling-based measurements, to better predict the experienced visual performance of the user. For this purpose, we present LUMNET, an approach for estimating desktop luminance with deep models through utilizing supervised and self-supervised learning. Our model learns visual representations from ceiling-based images, which are collected in indoor spaces within the physical vicinity of the user to predict average desktop luminance as experienced in a real-life setting. We also propose a self-supervised contrastive method for pre-training LUMNET with unlabeled data and we demonstrate that the learned features are transferable onto a small labeled dataset which minimizes the requirement of costly data annotations. Likewise, we perform experiments on domain-specific datasets and show that our approach significantly improves over the baseline results from prior methods in estimating luminance, particularly in the low-data regime. LUMNET is an important step towards learning-based technique for luminance estimation and can be used for adaptive lighting control directly on-device thanks to its minimal computational footprint with an added benefit of preserving user's privacy.

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