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The average reduction ratio was 1.066.
The reduction ratio for each cycle was calculated using the formula (1) [11].
The overall reduction ratio determined using the formula Кoverall. = К1 × К2× К3×...× Кn (2) where К1, К2, К3,…Кn are the reduction ratio per cycle of deformation.
The magnitude of the overall reduction ratio was Кoverall. = 1.90 and the total amount of deformation was 65 – 68 %.
The effect of the quenching temperature for 0.5 h and subsequent annealing at 600 °C for 1 h on the microstructure of hot-rolled sheet steel 10 (3 mm thick) made with a preliminary thermal-cyclic forging: a - 880 °C; b - 900 °C; c - 920 °C; d - 940 °C Data in Table 5 shows that the most optimal combination of strength and plastic characteristics of sheet steel 10 made using the preliminary thermo-cyclic forging mode is provided by hardening heat treatment: quenching, 900 °C, 0.5 hours, water and tempering 600 °C, 1 h.

The collected data were analysed using correlations analysis to determine the effects of familiarity with office equipment on human errors and accidents.
Method Surveys were used to obtain the relevant data for this study.
However, the correlation between familiarity and the reduction in the occurrence of accidents is not significant (RAccidents=0.000, p>0.01).
Carelessness of workers can also be another reason why familiarity does not correlate with the reduction in the occurrence of accidents in the workplace.
However, the correlation between familiarity and the reduction in the occurrence of accidents is once again not significant (RAccidents=0.000, p>0.01).

Now, the application of virtualization technology focuses on various aspects, such as memory, network, storage, server, data center and application, etc.
Risk of Application Migration At present, some enterprises that have applied the virtualization technology are aware of a problem, namely, it is very difficult to realize the migration of virtual data center.
The main reason is lack of mature migration tools and management tools, so it is difficult to realize the migration of the data and information from the physical environment to the virtual environment.
If the downtime is long, it will constitute the serious threats to the security and stability of the continuity in data and business system, especially in remote migration and management function.
For example, an intruder can invade the physical data center of other people and easily steal the data via the virtual machine created by himself.

The sequence from measurement to the fitted data is shown in Fig. 5.
The differences between specific volume data of the fitted data in the melt state and the measured pvT data in the Pirouette dilatometer decrease with increasing pressure.
Material Autodesk Moldflow (a) Pirouette (b) PP HDPE POM PBT ABS Fig. 14: Numerical simulation of shrinkage and warpage of the sample with Moldflow pvT data (a) and Pirouette pvT data (b) Comparison of results with different pvT data.
For both pvT data, the shrinkage prediction is very different.
Overall, the results of shrinkage calculated with Pirouette pvT data are closer to the experimental shrinkage data.

Due to the great influence of presence of noise to the SNR of ultrasonic signals，bring great difficulties for subsequent data acquisition, signal processing and defect identification.
The basic principles of wavelet de-noising The noise reduction process is mainly made of the following processing: First of all wavelet decomposition to the original signal, Noise is often included in the high frequency coefficient; Then quantization process to the high frequency coefficients of wavelet decomposition in the form of threshold threshold ; Finally, achieving the purpose of noise reduction with the method of the signal reconstruction [3].
Summary De-noising technology of ultrasonic testing system is a key step in the processing of data [7].

Data encryption module added to the inverter air conditioners and micro-power wireless/PLC module and gateway (smart home gateway) for data transfer and interaction (air conditioning and control gateway authentication authentication).
Fig .4 Micro Power Bridging Functional Block Diagram Wireless gateway, use a network processing power of the CPU as a core module, through the air conditioning load control and RF transceiver chip for data communication, while ensuring the stability of data transmission at the same time taking into account the security of transmitted data.
When you send or receive data over the Internet, hardware encryption/decryption processing.
Data demonstration project in Beijing, for example, as shown in table 1.
Tab.1 Empirical project data City Data items Unit Baseline group Visualization Regulation Beijing Maximum load KW 39.53 37.46 32.88 Minimum load 4.85 4.83 5.04 Peak and valley difference 34.68 32.63 27.84 Load reduction rate - 6.82% 38.12% Air-conditioned baseline group as the base line, maximum load and minimum load, respectively in the visualization group 95.2%, floating, maximum load and minimum load, respectively in the control group, 83.1% float。

Data Collection.
The data collection process will be divided into two phases.
This data will be used to develop a comprehensive understanding of the building's design and construction.
Data collected will be analyzed using statistical methods.
Data collected from the qualitative method will be analyzed through content analysis.

Data sensing by this device will be transmitted from the PC to the control unit.
The advantage of the technical solution is to optimize the traffic in individual sections, which leads to an increased transport efficiency and power savings, which is reflected, for example in both reduction of emissions and reduction of wear on the braking system.
The control unit controls the required performance needed for the train set at all times based on the required speed (entered from the operator panel), detected current data from the sensors and saved, previously measured track profiles.

Each of these types of numbers has their own advantages and disadvantages when used for certain data types or for searching for solutions to certain problems.
Methodology In this study, several segmented fatigue time series data (see Table 1 and Fig. 1) were used to test the GA clustering algorithm for real time efficiency.
Segmental kurtosis analysis was done on each segmented fatigue data, and the results are represented in two-dimensional heteroscaled datasets.
As with the previous set of data, the population and running time of the algorithm is recorded simultaneously as the population limited GA clustering algorithm is run on the datasets.
Michalewicz: Genetic Algorithms + Data Structures = Evolution Programs, 3rd rev. ed.

Aiming at the shortage of investigations above, the text makes use of the laser equipment to measure the parts rough surfaces and gets sub-nm level rough surface topography data, then utilizes wavelet to make multi-scale analysis and reconstruction after noise reduction.
The contact model is built based on rough surface topography data in ANSYS.
Based on the problems above, the text firstly uses wavelet[8,9], which has the advantages of multi resolution and multi dimension analysis on time-frequent in signal disposal, to denoise the data, then to decompose the data in different frequency and reconstruct suitable low-frequency components which are inputted to ANSYS to build the microcosmic contact model.
The laser measure equipment which used in thesis to measure the rough surface has a high sampling rate and accuracy in measurement offers original data for micro contact study.
The contact model based on different scale could be set up by taking advantage of the wavelet to pick-up different level roughness in measurement data.