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Thus cluster heads closer to the base station can preserve energy for the inter-cluster data forwarding.
However, in the steady phase member node sends data to the corresponding cluster head, then the cluster head aggregate data and forward them to parent node, till to root node like this.
Each member node sends L bits data to the cluster head in a round.
When=4,=0.1, the relation between number of data received at BS and time is shown in Fig.3.
In the data transmission phase, routing tree can balance cluster heads’ energy consumption.

Each tree is constructed using a different bootstrap data set with randomly chosen instances, and each node is split using the best among randomly selected features.
These two kinds of randomness make random forest more robust against model over-fitting and data noise.
Given data on a set of n sequences for training, D = {(X1, Y1), . . ., (Xn, Yn)}, where Xi, i=1, . . ., n, is an observed input vector of features and Yi is numerical outcome, the training algorithm is as follows: (1)From the training data of n sequences, draw a bootstrap sample
Specifically, performance for a regression algorithm should be evaluated using a large independent test data set that was not used in the training.
In practical application when the data is limited, some type of cross-validation has to be done, which, in some cases, could be computationally cumbersome.

This provides a reduction in error of the algorithm after each iteration [9].
The feature of creating such observer is data preprocessing because the input data for processing are the stator currents and voltages.
Data preprocessing Data preprocessing performs conversion of currents, voltages and their delays to the polar coordinate system [12, 13]:: (3) In Fig. 1,a are presented the vector of current and its delay in the polar coordinate system, as in Fig. 1,b – principle of data conversion for learning of the neuroemulator according to equations (3).
For the neural network as input data used data from the preprocessing of unit, as well as the speed feedback delay.
Advanced Mathematics: Precalculus with Discrete Mathematics and Data Analysis / Andrew M.

It also send out all kinds of video images, sound, and the data stored on the SD card or NAND Flash.
In Fig. 5, The pins SPCE3200 associated with the LCD module consist of LCD_CLK (clock signal), LCD_ACT (data enable signal), LCD_VS (vertical sync signal), LCD_HS (horizontal sync signal), LCD_Data [15: 0] (data bus).
This design uses the file system interface function to read data collected by camera, the data appears in the LCD.
Last, the procedure calls the function read () can read the images data collected by the camera.
Because the image data need to display in the LCD screen the function lcd _drawrgb (() is called.

High spectral acquisition test All kinds of nitrogen level lettuce leaves is collected in the growth period, and sent to the indoor promptly to get the blade spectral data.
The spectral reflection map of lettuce in three different nitrogen levels Feature bands extraction The spectral data contains a large number of redundant data and noisy data, so it is necessary to reduce dimension and deal with the noise.
First of all, 350-450 nm and 2000-2500 nm spectral data are eliminated, and then to process the rest of the data.
Principal component analysis performs dimensionality reduction by projecting the original m-dimensional data onto the （k<data covariance matrix.
Given an input data matrix (Ndata（）.

Consideration of Improving Earthquake Resistant Capacity of Earth Buildings Bo Zhang Department of civil Engineering & Architecture, Shaanxi University of Technology, HanZhong, Shaanxi, 723001, China zhangyc_2005@126.com Key words: Rammed earth wall, Ecological property, Construction specialty, Earthquake disaster prevention and reduction.
As data illustrated, there are almost 80,000 bricks manufacture enterprises with over 26.67 million acres, they use soil about 1.2 billion in brick manufacture equivalent to the destruction of 7 million acres land.

And it gives us lots of valuable experiences and seismic damage data for earthquake science research.
Based on the valuable data, seismic damage appearances of pipeline of different materials and their impacts on gas supply function are studied.
But there were 0.02-0.03 million m3 in gas consumption reduction.
Analysis on the use status and the reasons causing damages of gas pipeline network Summarizing the basic engineering data of gas pipeline network, we get the conclusion: The material types of gas network are relatively few; Before 2000, the steel pipeline had been widely used, and aluminum tube pipelines were used as home pipelines; In recent years, PE pipelines are more and more widely used in the construction of gas pipeline networks.
Fig.1 Damage of steel pipeline Fig.2 Damage of home pipeline Fig.3 Displacement of gas meter Fig.4 Damage of threaded connection Fig.5 Smashed PE pipeline Fig.6 Fixation loss of pipeline Fig.7 Statistics of the use status of different pipeline materials Based on the seismic damage data in Wenchuan Earthquake, the reasons causing damages of gas pipeline network are analyzed and given as the followings

Some researchers employed data-sampling techniques.
A novel data balancing and boosting technique was developed, aiming to improve prediction performance in the face of imbalanced data [36].
Nonlinear data fusion over entity-relation graphs for drug-target interaction prediction.
An ensemble‑based drug–target interaction prediction approach using multiple feature information with data balancing.
MDTips: a multimodal-data-based drug-target interaction prediction system fusing knowledge, gene expression profile, and structural data.

Even though the correlation was poor due to large scatter of data but it paved way for future development of this technique.
These equations are best fit curves for the data sets for which they have been developed.
However, by including more data points the existing relationship can be modified to suite the local conditions.
A total no of 94 data points including 10 from metavolcanics, 72 from dolomites and 12 from carbonaceous slates are used for this study.
The maximum, minimum, average and standard deviation of the final data set is shown in table 7.

It is seen from Table 2 that increasing the sintering temperature from 1200°C to 1300°C yields an increase in the average pore size, and a reduction in surface area.
Pore structure data of the compacts Pore Size Distribution (%) Specimen (%) Porosity 1-20nm 20-50nm 50-100nm 100-200nm 200-300nm Average pore radius (nm) Surface Area (m 2/gm) M1 57,9 4,8 8,4 16,6 46,2 24 146 16,26 M2 61,2 4,2 4,6 12,2 47,0 32 161 13,29 N1 60,8 7,7 9,4 16 44,3 22,6 140 17,93 Figure 2.