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Table 2: Material data for FE-modelling [6, among others].
Although the most of these material data (Table 2) are available in the scientific literature, some of them are difficult to define with reference to the investigated hard thin films.
On the basis of these material data the ratio between σtrs and σy for TiN is 0.24.
The only obtainable dynamic friction data refer to the contact between these thin films and steel (µsteel-PVD) [10, among others].
In literature many data regarding the dynamic friction coefficient of HSS against steel itself (µsteel-HSS) are available [11, among others].

Behavior of TSC in compression has been well documented, but there are little published data on its behavior in tension and modulus of elasticity.
However, flexural strength data on preplaced aggregate concrete were not presented.
Both figures demonstrate a strength reduction as the w/c ratio increases.
Another significant finding from the compressive strength data was the somewhat limited rate of strength development.
Eq. 3 is also valid for estimating 90-day splitting tensile strengths based on 90-day compressive strengths, as the data in Fig. 6 suggest.

The sphere spiral method is utilized to generate the sampling boresight directions by virtue of obtaining the uniform sampling data.
Label the training data,;, whereis the ith input vector with known binary target, the original SVM classifier.
To obtain the more uniform sampling data, the sphere spiral method is utilized to generate the sampling boresight directions [3].
If inconsistent with the design requirements, the need to re-determine the training sample data and training parameters, until it meet the design requirements.
Burges, in: A tutorial on support vector machines for pattern recognition, edited by Data Mining Knowl.

Since the order of magnitude of estimate for the amount of biomass required for reduction in C emissions was within the range of coal-biomass feed systems, it is reasonable to assume that existing technology is adequate for the option.
The smallest time step in the simulation is the base-time step which is selected according to input data availability and/or module requirement(generally one hour).Modules run on longer time steps(daily, yearly)are called after the sum of basetime steps (i.e. hourly) has reached the module specific time step.
D01 in turn can be roughly estimated from DBH by linear extrapolation using the current height/diameter relation and the height difference between the two stem positions.This calculation is purely empirical and is only used here for transferring initialized DBH to D01 and D01 back into DBH in order to provide evaluation data that can be compared with repeated DBH measurements.It does not affect the model calculations.
Since the order of magnitude of estimate for the amount of biomass required for reduction in C emissions was within the range of coal-biomass feed systems,it is reasonable to assume that existing technology is adequate for the option.

Structure of fixed data collection node Data Acquisition Module.
Data Processing Module.
When the nRF24E1 working in ShockBurst™, it transmits data at a very high rate thus enabling extremely power reduction, system cost lower and risk reduction of ‘on-air’ collisions due to short transmission time， which can ensure the effectiveness and reliability in communication [3].
Preamble is data header.
PAYLOAD is data section, the total number of bits in a ShockBurst™ RF package may not exceed 256 bits, maximum length of payload section: DATAx _W(bits) = 256 - ADDR _W - CRC Shorter address and CRC can leave more room for payload data in each package which can improve the transmission efficiency, but it will make reliability reduction.

Article’s materials are based on estimated data, different Internet resources and information taken from Media.
The necessity of reduction of expenditures on wall materials, reduction of weight of multi-storied buildings and increased requirements on advanced energy-saving properties of external walls resulted in creature of facade thermal insulation systems in the form of multilayer structures, using highly-efficient thermal insulation materials.
· Reduction of expenses on operation of buildings by virtue of efficient heat and energy preservation.
Economic calculations Benchmark data: 1.
Passive use of solar energy in double skin facades for reduction of cooling loads (2012) World Renewable Energy Forum, WREF 2012, Including World Renewable Energy Congress XII and Colorado Renewable Energy Society (CRES) Annual Conference 6, pp. 4181‒4186

Binary metal combinations generally aggravated photosynthesis reduction and induced more serious oxidative stress as compared with Al or Cd single treatments, and the most deleterious effects were observed in the combination of 90 μmol/L Al+5 μmol/L Cd.
All data presented are the mean values of three replicates.
Based on the present results, the reduction of photosynthesis may partially result from the reduction of Chl content and stomatal limitation.
(2) Binary metal combinations generally aggravated photosynthesis reduction and induced more serious oxidative stress as compared with Al or Cd single treatments, and the most deleterious effects were observed in the combination of 90 μmol/L Al+5 μmol/L Cd.

It is evident that the maximum reduction in the average length of Fe containing platelets occurs in specimens with 2% Fe.
At the presence of β phases in the microstructure, Increase in stress concentration around β phases results a reduction in the amount of stress which is necessary for crack initiation.
Sr addition leads to volume fraction of β platelets reduction and modifies size and the morphology of intermetallic compounds [8, 9].
Fig 3 shows the changes in average length of β needles for each casting as listed in Table 2, which were obtained from image analysis data.
From fig.2 and 3, it is evident that the maximum reduction in the average length of Fe containing platelets occurs in specimens with 2wt. % Fe.

The first is to acquire a set of several CT images per slice through the volume; the second step is to resort the images and assemble spatio-temporally coherent data sets from the data acquired, which are most certainly shuffled and out of order [5].
Manifold learning is a nonlinear dimensionality reduction (NLDR) technique which presume that the data lies on or in the vicinity of a low dimensional manifold and attempt to map the high dimensional data into a single low dimensional, global coordinate system[10].
Section 3 details the experimental procedure, data set, parameter extraction.
This is the result returned by LLE as the low dimensional embedding of the high dimensional data points Xi.
Image data can be naturally represented as points in a high dimensional data space (one dimension for each pixel), i.e. each image is a long vector with the dimension of m × n, where m and n is the number of columns and rows respectively.

The Research on Key Issues of Analysis of Basketball Vedio Fei Liu1, a 1 University of Electronic Science and Technology of China ,China a liufeiliuzhi@163.com Keywords: Sport video analysis, Shot segmentation, Shot coarse classification, Location of scoreboard Abstract: With the advent of multimedia technology and the information superhighway, storage and transmission of digital video is no longer a difficult job, different sports events directly led to the explosive growth of sports video data and therefore efficient sports video analysis is necessary.
Quantification and HSV Color Space Dimensionality Reduction.
HSV Histogram-based Dimension Reduction Shot Segmentation Algorithm.
Conclusions With the massive growth of sports video data, sports video analysis of urgency is growing.