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A significant reduction in power consumption is possible via this control strategy.
One interesting European research program which focuses on cost reductions as well as improving the aerodynamic performance is SARISTU http://www.saristu.eu .
New functions like drag reduction, shape optimization and noise reduction are addressed through hybrid electroactive morphing.
The required heating power needed to maintain the displacement at lower temperature is evaluated at 20% to 30% reduction.
The next step is to post-process all the recorded data during wind-tunnel experiments.

In particular, on account of the reduction in the use of chemical pesticides, biological control is an important manifestation of the application of biological diversity.
R=S/lnN (1) H′=ΣPilnPi (2) J′=H′/H′max (3) C=Σ(Ni/N)2 (4) Statistical treatments Microsoft SAS statistical software (SAS 8 Software, SAS Institute Inc., Cary, NC, USA) and R (ADE-4) multivariate data analysis software [14] were used for data analysis and to test the data collection methodology.
Using the R (ADE-4) software package, principal components analysis (PCA) was undertaken in order to compare the characteristics of ground-wandering spiders from different tea plantations; multivariate data analysis results were displayed clearly using scores plots and two-dimensional spatial load diagrams.
A low-carbon, intercropping model of tea cultivation, which incorporates reductions in pesticide use and N fertilizer input, can both protect biodiversity and provide ecosystem services.
In addition, the study has established new data records for spider populations within the Guangdong tea area of China (for example, for V. spirocysta, C. oculinotata and Z. asiaticus) [22], which can contribute to the knowledge base for ecological pest control.

Test results demonstrated that the water requirement of normal consistency and the setting times(initial and final) decreased obviously as the replacement level of limestone powder increased and the extent of reduction was noticeable with the increase of SSB of limestone powder.
Data represent the average values obtained from 3 flexural strength tests and 6 compressive strength tests.
In limestone cements with 350m2/kg SSB, there is a reduction of water requirement of normal consistency from 28% to 27.4% and the water requirement indicates linearly when the amount of limestone is from 5% to 35%.
The ground limestone has a positive effect on the consistency, they play the role of water reduction and plasticizer and the degree of water reduction is relative to the amount and SSB of limestone: the more amount and more SSB, the more role of water reduction.

Date accepted: 08 April 2014] Keywords: Multinational micro business, Multi-stage management engineering, Influence factors, Micro political risk, Data envelopment analysis, Abstract.
To address this problem, this paper develops a multi-stage data envelopment analysis (MSDEA) model to investigate the influence of micro political risks on the efficiency of multinational micro businesses.
The Multi-Stage Data Envelopment Analysis (MSDEA) Data envelopment analysis (DEA): DEA is a kind of statistical analysis [20] that utilizes the input-output data to estimate the efficacy of input or output.
Actually, DMU2 is the worst unit in the statistical data.
Cooper, Some methods for estimating technical and scale inefficiencies in data envelopment analysis, Manag.

Back-end data acquisition module utilizes a photomultiplier tube and its peripheral circuits for receiving and converting optical signals.
Display and storage modules are TFT and SD cards to achieve data reception and sound and light reduction and storage functions.
And that is because the underwater acoustic communication basically adopts sound waves of which the transmission speed is approximately 1500m/s in the sea, so a large number of delays and accordingly non-synchronization are caused when transmitting mass data.
Suppose you want to transfer the data set of same information bits, Turbo coding ensure a gain of 1dB more than the serial code composed of convolution codes and RS codes.
Some of the data we tested are given as follows.

An accelerometer was attached at the bottom of the tool holder of 120 mm overhang and connected to the vibration data acquisition system.
The vibration amplitude data were recorded at in the frequency range of 0 to 5 kHz.
Fig. 1: Experimental set up for turning operation The data acquisition system comprised a vibration sensor (KISTLER accelerometer Type 8774A50) and a signal conditioning unit.
The best condition for chatter suppression occurred at run number 1 with cutting speed of 125m/min, feed rate of 0.16mm/rot and depth of cut of 2.21mm with a reduction of 89.44%.
Table 1: Comparison of peak vibration amplitudes at two frequency ranges in the absence and presence of magnets Run Speed (m/min) Feed (mm/rot) D.O.C (mm) Vibration Amplitude (m/s2) Without Magnet at 1kHz With Magnet at 1kHz Without Magnet at 5kHz With Magnet at 5kHz 1 125 0.16 2.21 49.28 5.202 5.202 3.637 2 200 0.10 2.00 37.15 15.53 37.15 7.512 3 50 0.22 2.00 63.34 34.03 49.81 93.83 4 125 0.08 1.50 26.68 16.05 26.68 10.31 5 125 0.16 1.50 42.03 15.99 42.03 5.499 6 125 0.16 1.50 40.39 6.877 40.39 1.918 7 125 0.24 1.50 27.07 13.40 37.26 7.058 8 18.93 0.16 1.50 27.76 22.69 27.76 1.680 9 231 0.16 1.50 38.75 23.89 18.87 10.82 10 200 0.22 1.00 45.09 16.64 45.09 8.917 11 50 0.10 1.00 25.17 7.441 25.17 2.540 12 125 0.16 0.80 31.10 11.93 31.10 9.592 Average Percentage of Reduction - 56.75% - 65.36% Fig. 2: Vibration amplitude in the absence of magnet Fig. 3: Vibration amplitude with present of magnet In order to predict the peak acceleration amplitudes for magnet

Conventional GM (1, 1) model for long-term data to predict accuracy is not high, but metabolism GM (1, 1) model can be made up for conventional GM (1, 1) model of this one defect [1].
In the practical modeling process, when the system produce the new data, we will take out the most old data in original system and reestablish a GM (1, 1) model.
Continuously add new information while remove the old data in time, and this kind of model is the information renewal model.
The conventional GM (1, 1) model just has high accuracy in the recent data, to the further development, the model prediction accuracy is weak [5].
The monitoring group should closely communicate with the construction party, in the time, they should measure in time and ensure the accuracy of data to avoid the faults because of unnecessary artificial reasons.

Yet there are still not many systems can compute enough pedestrian data to analyze, due to the bottleneck of the computer.
It’s useful for separating image data into constitutive parts.
Thus, each sample data vector can be approximated by a linear combination of the columns of B, weighed by the elements of F.
Each column vector of F can be viewed as a new data representation of the corresponding sample data vector of X.
If the basis can discover the intrinsic structure of data, a good approximation can be achieved.

GANs are designed to generate new, realistic data based on existing data, such as images, text or sounds.
The discriminator is responsible for distinguishing real data from fake data produced by the generator.
The discriminator tries to decide whether a given data point is "real" (from the original data set) or "fake" (created by the generator).
Applications of the autoencoder: - Dimension reduction: autoencoders can reduce the dimension of image data by finding the most important features.
Deleted Journal, 5(1), 50–62. https://doi.org/10.60087/jaigs.v5i1.163 [10] Cheng-Yu Chen, Jenq-Shiou Leu and Setya Widyawan Prakosa Using Autoencoder to Facilitate Information Retention for Data Dimension Reduction, IEEE, pp. 1-5, 2018

Kn is designed to achieve the desired reduction in base shear.
Hence, the NSD and structure assembly has a strength reduction factor, Roy’ =Fo/Fy’ of 5.
The strength reduction factor Ryy’ should not be greater than 4 due to safety considerations.
These cycloidal pulses and recorded ground motion data are used to test the performance of the ANSS.
“Retrofit of a hospital through strength reduction and enhanced damping.”