scholarly journals Data-Sets for Indoor Photovoltaic Behavior in Low Lighting Conditions

Data ◽  
2020 ◽  
Vol 5 (2) ◽  
pp. 32 ◽  
Author(s):  
Mojtaba Masoudinejad
Keyword(s):  
Parameter Identification ◽  
Data Sets ◽  
Low Light ◽  
Accuracy Measurement ◽  
Photovoltaic Modules ◽  
Lighting Conditions ◽  
Environment Effects ◽  
Solar Lighting ◽  
Current Behavior ◽  
High Accuracy Measurement

Analysis of voltage–current behavior of photovoltaic modules is a critical part of their modeling. Parameter identification of these models demands data from them, measured in realistic environments. In spite of advancement in modeling methodologies under solar lighting, few analyses have been focused on indoor photovoltaics. Lack of accurate and reproducible data as a major challenge in this field is addressed here. A high accuracy measurement setup for evaluation and analysis of indoor photovoltaic modules is explained. By use of this system, different modules are measured under diverse environmental conditions. These measurements are structured in data-sets that can be used for either analysis of physical environment effects and modeling or development of specific parameter identification methods in low light intensity conditions.

High accuracy measurement of the ground-state hyperfine splitting in a 113Cd+ microwave clock: erratum

2021 ◽  
Vol 46 (20) ◽  
pp. 5207
Author(s):  
K. Miao ◽  
J. W. Zhang ◽  
X. L. Sun ◽  
S. G. Wang ◽  
A. M. Zhang ◽  
...  
Keyword(s):  
Ground State ◽  
Hyperfine Splitting ◽  
High Accuracy ◽  
Accuracy Measurement ◽  
High Accuracy Measurement

Lighting Equilibrium Distribution Maps and Their Application to Face Recognition Under Difficult Lighting Conditions

2017 ◽  
Vol 31 (03) ◽  
pp. 1756003 ◽  
Author(s):  
Jun Dong ◽  
Xue Yuan ◽  
Fanlun Xiong
Keyword(s):  
Face Recognition ◽  
Equilibrium Distribution ◽  
Main Idea ◽  
Data Sets ◽  
Test Image ◽  
Distribution Maps ◽  
Lighting Conditions ◽  
Map Construction ◽  
Compensation Methods ◽  
Approximation Coefficients

In this paper, a novel facial-patch based recognition framework is proposed to deal with the problem of face recognition (FR) on the serious illumination condition. First, a novel lighting equilibrium distribution maps (LEDM) for illumination normalization is proposed. In LEDM, an image is analyzed in logarithm domain with wavelet transform, and the approximation coefficients of the image are mapped according to a reference-illumination map in order to normalize the distribution of illumination energy due to different lighting effects. Meanwhile, the detail coefficients are enhanced to achieve detail information emphasis. The LEDM is obtained by blurring the distances between the test image and the reference illumination map in the logarithm domain, which may express the entire distribution of illumination variations. Then, a facial-patch based framework and a credit degree based facial patches synthesizing algorithm are proposed. Each normalized face images is divided into several stacked patches. And, all patches are individually classified, then each patch from the test image casts a vote toward the parent image classification. A novel credit degree map is established based on the LEDM, which is deciding a credit degree for each facial patch. The main idea of credit degree map construction is the over-and under-illuminated regions should be assigned lower credit degree than well-illuminated regions. Finally, results are obtained by the credit degree based facial patches synthesizing. The proposed method provides state-of-the-art performance on three data sets that are widely used for testing FR under different illumination conditions: Extended Yale-B, CAS-PEAL-R1, and CMUPIE. Experimental results show that our FR frame outperforms several existing illumination compensation methods.

scholarly journals High Accuracy Measurement of Total Losses in Fractional Horsepower Induction Motors

2015 ◽  
Vol 1 (2) ◽  
pp. 13
Author(s):  
Azzeddine Ferrah ◽  
Mounir Bouzguenda ◽  
Jehad M. Al-Khalaf Bani Younis
Keyword(s):  
Single Phase ◽  
Induction Motors ◽  
Data Acquisition System ◽  
High Accuracy ◽  
Industrial Applications ◽  
Motor Speed ◽  
Accuracy Measurement ◽  
Three Phase ◽  
Better Than ◽  
High Accuracy Measurement

Large and small single-phase and three-phase induction motors are commonly used in industrial applications. The present work represents an attempt towards the design of a high accuracy system for the measurement of fractional horsepower (FHP) induction motor losses and efficiency. The calorimeter designed and built is capable of measuring heat losses of up to 1 kW with an overall accuracy better than 3%. During all tests, ambient temperature, humidity, motor speed and motor frame temperature were recorded using precise digital instruments. The inlet, outlet temperatures and resulting losses were recorded automatically using a high accuracy 12-bit data acquisition system. The preliminary results obtained demonstrate the suitability of the designed calorimeter for the accurate measurement of losses in FHP induction motors.

High accuracy measurement model of laser triangulation method

2018 ◽  
Vol 47 (9) ◽  
pp. 906008
Author(s):  
孙兴伟 Sun Xingwei ◽  
于欣玉 Yu Xinyu ◽  
董祉序 Dong Zhixu ◽  
杨赫然 Yang Heran
Keyword(s):  
Measurement Model ◽  
High Accuracy ◽  
Laser Triangulation ◽  
Accuracy Measurement ◽  
Triangulation Method ◽  
High Accuracy Measurement ◽  
Laser Triangulation Method
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