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In this work, we reported the evaluation of the “internal” resistivity found in high performance organic/hybrid solar cells based on data reported in the literature.
Overall, lowering of the “internal” resistivity correlates well with degradation in the device performance and can be put in the context of a reduction in the effective diffusion length of the photo-excited carriers.
To facilitate a comparison, we extracted the “internal” resistivity from data of several high performance organic/hybrid solar cells [1-4] and correlated their “internal” resistivity to the QE.
The data apparently fall into 2 groups: a) those that follow a linear relationship (Cell B-1; Cell A; and Cell D-2); and b) those that do not (Cell C and Cell D-1).
The circle highlights data that deviate from the linear relationship.

The representing problem is different from the approximation to data points; planar curve provided more information than data points.
Approximate the sampled data points using least square approximation in a given tolerance.
The planar curves supply more information than the discrete data points.
The sampling can be with any high density and accuracy, so we ignore the sampling error in the representing. 3.2 Interpolate the data points and tangent vectors Given the data points along with their tangent vectors, we can construct Bezier segments between each adjacent pair points interpolate these data and tangents.
The final curve along with its control polygon its control polygon In figure 3, the data points and their data points are interpolated by a quadratic B-spline curve.

We need to have a large number correlation characteristics as the input raw data, on the basis of this, a large number of trainings are taken, and the data features are extracted, finally, the data characteristics correlation processing is completed.
The cloud storage security model of information data is divided into four parts, including the CSP user authorization center, cloud storage server, GPS information data owners and data user.
(1) The authorization center of user information data.
(2) The data information owner.
(3) The data users.

from the study and analysis of the results, we note that the data sheet data are remarkably synchronous with the simulated results.
Then, using PVsyst software, curves based on the data in the data sheet were traced for comparison with the curves simulated by the proposed method and the methods of Chaibi et al, Zaimi et al.
As the temperature rises, the output voltage drops, causing a reduction inside the output power.
On the other hand, the proposed method improves, adapter the shunt resistance (Rsh) in a more targeted way, the accuracy of the electrical parameters and receives better relationship with the data in the data sheet.
Mohamed, « Data on the I–V characteristics related to the SM55 monocrystalline PV module at various solar irradiance and temperatures », Data Brief, vol. 26, p. 104527, oct. 2019, doi: 10.1016/j.dib.2019.104527

Fig.1 N-type crankshaft drive diagram The primary design of mechanical driver part was gear reduction mechanism and sliding key.
LCD initializing initializing begin Fig.4 The main program flow chart The control commands and datas are inputted by pressing the keys on the 4×4 keyboard, so the main programme has designed based on the keys function, it skips to corresponding sub-programmes of different key, then realize its function.
It has the conclusion as follows: The transmission mechanism: abandoned the gear reduction mechanism and chose worm-gear & worm reducer mechanism, which results in small dimention, steady transmission and low noise; The control panel: chose LCD with chinese character, added more keys and its fuctions, which resulted in more friendly human-computer interaction, more convenient control operations.The results indicate that the instru- ment have higher accuracy and the efficiency of pump has been improved greatly.
initializing accept the input value Q The input data are right？

The reduction in the strengths of the alloy treated at 350˚C for two hours should be at least attributed partly to the absence of the magnesium-based intermetallic phase.
All samples were loaded to fracture at room temperature at a strain rate of 1x10-3/s on an Instron universal testing machine (Model 8562) with a computerized data acquisition system.
Tensile properties, including ultimate tensile strength (UTS), yield strength (YS) and elongation at fracture (Ef%), were computed from the data recorded by a data acquisition system.
The reduction in the strengths of the alloy treated at 350˚C for two hours should be at least attributed partly to the absence of the magnesium-based intermetallic phase.

Good daylighting in interiors is also related to the reduction of electricity consumption for lighting.
Data description One minute instantaneous data used in this study were offered by the ICA SAS Bratislava.
Data processing Offered database contains only raw data, it means without validation and quality control processing.
Unification data methodology consists of several steps based on processing of data matrixes.
Consistent data matrixes contain measured data in the proper time rows due to rewriting of auxiliary matrixes while rows representing times without data records remained fill in by number -99.

A general-purpose useful parameter in data analysis is the intrinsic dimension of a data set, corresponding to the minimum number of variables necessary to describe the data without significant loss of information.
Assume that xi is a set of n-D input data vector.
The total signals then were divided into 2 data sets: data set 1 consisted of 60 raw vibration signals (20 per condition) for training, and data set 2 consisted of 15 (5 per condition) for testing.
Noticed from the table that a non-significant loss of information occurs when the data are projected on a space of dimension two; it is clear that the intrinsic dimension of the data set is two.
Then fifteen 7-D feature data were tested and the results were displayed in Fig. 2(b), where solid signs represent the image points of feature data in data set 2.

James et al., discussed the structure of ceria doped strontium materials based on XRD and neutron diffraction data, and showed that the Ce4+ or Sr2+ will occupy the A-site [28].
Reduction reaction was more dominant in the samples calcined at a 1000 °C because of its steady weight decrease throughout the process.
Previous work by Rupasov et al have shown that an increase in oxygen diffusion can lead to a reduction in the ASR [41].
From the XRD data, the materials had mean crystallite sizes of 64.78 nm, 47.10 nm, 27.32 nm for the samples calcined at 1000 °C, 900 °C and 800 °C respectively.
Gauckler,, Thermodynamic data of Ba0.6Sr0.4Co0.8Fe0.2O3−δ SOFC cathode material.

Measuring signal sampling means sampling the sparse data which is also called the process of dimensional reduction.
(3) Fusion method based on CS Data in the Compressive Sensing domain is not a simple grey scale data.
The data of this sample matrix is 30% of the original and it is the required Compressive Sensing data.
The amount of data is huge.
But if we adopt Compressive Sensing data instead, the amount of data will be 30% of the original and the disposed data will be decreased two-thirds.