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The Monte Carlo simulation is performed for 106 samples of the input data.
(8) (9) (10) , (12) where φa,θ , φc,θ , φs,θ are the reduction coefficients depending on the temperature load effects (for steel it has been determined individually for the tie φ, f, θ and for the cross-section φ, w, θ, Ēa,θ, Ēc,θ, Ēs,θ are moduli of elasticity of individual materials reduced with respect to the temperature acting upon the element, and Ia,θ , Ic,θ , Is,θ are the inertia moments of individual materials [5].
Overall axial force acting on the column, with respect to the reduction due to the fire load, is 9030 kN.

● Data alarm function.
Create a data acquisition thread used for data collection and create a data processing thread for the analysis of monitoring data as well as alarm analysis and fault analysis.
Data retention thread dedicated to holding various data.
The data processing thread and data storage thread are triggered when the amount of data collected reaches a certain magnitude.
Queue data and overflow handling In the process of data transmission, if there appears too much data in the acquisition queue, which exceeds the capacity to process for the data process thread.

The paper deals with experimental data regarding the effect of internal and external factors on the corrosion decay of Zr1Nb alloy fuel elements.
To determine the change in the fuel element wall thickness under normal operating conditions, a mathematical calculation based on the experimental and reference data was theoretically carried out.
The following data were used and designation introduced when calculating: The experimental value of gain: ZrO2 VZrcorr= 240 mg/dm2 for 5500 hours (230 days).
Calculation of the total reduction in the fuel element wall thickness due to corrosion.
Conclusion Reduce in the fuel element wall, which equals 7 µm that corresponds to losses up to 1% of fuel elements wall thickness, was for the first time calculated based on the experimental data array concerning the nuclear reactor zirconium fuel elements corrosion.

This paper designs a MQWs temperature and resistance data automatic measurement system based on LABVIEW, and unifies data results, the characteristics of MQWs film was analyzed and discussed.
After MCU in the signal processing circuit had completed the analog to digital signal conversion and time-sequence control, it sent QWMs sample voltage data and temperature data to PC through the serial port, then LABVIEW software would received, stored and processed the experimental data.
After data processing, experimenter stored the experimental result in an EXCEL file so that another program can open and analysis these experimental data.
It can save lots of time of late work about the data processing.
Almost real-time data analysis makes engineer check the sample in time.

Data analysis methods from data mining are well suited for this.
Data mining extracts new (previously unknown), useful knowledge [32] from already existing data.
Potentially used sets of qualitative data can contain both metric and categorical data.
What is more, data gaps can arise or individual faulty data points, which have to be identified correctly and possibly transformed, can appear in aggregate data during data fusion.
High or very high quantities of data can be expected, especially when data comes from machine data collection (MDC) systems.

Based on the premise of an existing condition data, using factor analysis methods to build a cultural industry competitiveness evaluation index system and evaluation model, the corresponding indicators in the model will be evaluated at the final evaluation results.
When the factor analysis model is established, an important role is the application of factors analysis model to evaluate each sample position in the model as a whole, that a comprehensive evaluation. 4.Evaluate consequence analysis This paper empirical analysis of Beijing, Shanghai, Tianjin, Nanjing, Dalian and other, all quantitative indicators from the 2011 Statistical Yearbook and the Government Statistical Web site exposed data, qualitative indicators for listening to the views of relevant experts, in accordance with the Delphi technique eventually formed.
(1) In the SPSS software runs on data, came to the correlation matrix.
(2)Maximum orthogonal rotation method has been used variance factor rotation, after orthogonal rotation, the Comparability of indicators variables (common) did not change, but the common variance contribution factor is no longer the same as original, marked reduction in contribution of factor 1 and factor 2 contributions increased significantly.
Further, we can also through the analysis of time series data to study areas where credit conditions change over time.

(3) With this method, the wear rates can be calculated with the inclination and with the interception of the linear regression for the data plotted in a graph of SN/Vc against Vs/Vc.
A reduction of 26 % was measured for the cryogenically treated specimens.
The specimens coated with CrN show a wear rate reduction of 29 %, compared to the AR specimens.
A wear rate reduction of 29 % could be reached due to the coating with CrN.
Hutchings, Methods of data analysis for the micro-scale abrasion test on coated substrates, Surface and Coatings Technology 183 (2004) 312-327.

All simulation data are compared with raw telemetry data which are logged during a steady flight.
The input and output data are collected from the flight tests.
Before fast Fourier processing the data was de-trended.
Comparison between the model outputs and measured data for Estimation of the State-Space Model Using Frequency Domain Data The state-space model is estimated by using frequency domain data.
The identified lateral state-space model for BULLIT is simplified by order reduction and estimation.

In the examined literature sources which deal with the opportunities concerning the optimization of the automated assembly processes of fixed threaded joints, not enough attention is paid to the reduction of the instrument’s energy consumption which is one of the main tasks in the industrial process because it directly impacts production costs.
Introduction In nowaday’s automated manufacturing, the question concerning electric power consumption reduction is of great interest, and it leaves its impact on the final product cost. 
The necessary hardware and software to process the measurements and data received in the course of the experiment are showed in the block diagram of the equipment (Fig. 1a).

The objective of the ErP-Directive is the reduction of energy consumption and the CO2-emission rates as well as an increase of the overall share of renewable energies.
The objective of the ErP-Directive is the reduction of energy consumption and the CO2-emission rates as well as an increase of the overall share of renewable energies.
In the segment of AHUs are the following exceptions from the regulation’s area of application: · Agricultural applications (greenhouses, stables); · Carriage of goods or persons( ships); · Professional kitchen exhaust hoods( grease and steam extraction in commercial kitchen) · Room loaded into thermal energy (Data centers, server rooms, compressor rooms, CHP rooms, foundries, forging processes, etc) · Machine exhaust air ( garage exhaust air) · ATEX (explosion areas) · Exhaust air not for rooms or supply air not for rooms of a building (chemical fume hood) · Exhaust air or outdoor air for process applications Fans with the purpose of providing protection and which are outside certain temperature ranges are not affected.