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Evaluation of fatigue life reduction is conducted using modified fatigue design curve and environmental fatigue life factor.
The data [6] in the ASME Boiler and Pressure Vessel Code NB-3121 subsection which is the fatigue design curve based on was acquired in the laboratory atmosphere environment and lacked tests in the light water reactor(LWR) coolant corrosion environment (high temperature, dissolved oxygen, etc) in which the fatigue life of metal materials reduces a lot [7].
Fatigue reduction calculation.
The fatigue test datas in the ASME Code were acquired under single direction tensile and compressed loading.
Evaluation of fatigue life reduction due to stratification is done according to the updated fatigue design curve in the USNRC report.

For uniformity test, the mixing time data consists of 14 observational data per job type and is divided into two subgroups for the uniformity test.
Truck mixer Transfer Time Control Limits The departure administration data consists of 140 observational data is divided into 14 subgroups for the uniformity test.
Data on day 1 has an efficiency of 30% and data on day 2 has an efficiency of 26.2%.
Data on day 3 has an efficiency of 23.6%, data on day 4 has an efficiency of 27.1%, and data on day 5 has an efficiency of 14.3%.
Data on day 6 has an efficiency of 31.1%, data on day 7 has an efficiency of 21.1%, data on day 8 has an efficiency of 23.1 %, the 9th-day data has an efficiency of 17.7%, and the 10th-day data has an efficiency of 23.3%.

Its main role is to acquisition the data.
Such as, capture the visitor's name, e-mail address, message and data, etc [3].
Primary data of printing color in the spectrum.
Color area too large color data is not accurate.
In accordance with the code call the printing data in the database.

The results show that wavelet envelope spectrum analysis of the acoustic emission signals can be effectively used in fault diagnosis of reduction gearbox.
The reduction gearbox is as an essential mechanical equipment connection and transmission of power general component, and its working conditions affect directly the normal operation of the entire unit.
The reduction gearbox is a complex system which contains gears, drive shafts, bearings and box structure etc.
Then the operating state of the key components of the gearbox is judged by the wavelet envelope spectrum analysis, so as to find the failure of the reduction gearbox .
The discrete inverse wavelet transform formula is: (3) In the formula, is the discrete collecting data of signals; is the discrete sampling point; is the decomposition layer, when it decomposes once, the frequency of the signal will be half reduced; are the impulse responses of the filter, which are used to decompose signals; denotes scale coefficient; denotes wavelet coefficient[4].

Reduction of Power Losses in Transmissions and Gearings F.
In modern motor vehicles, having a driveline that is optimally designed for each vehicle provides a substantial CO2 reduction.
The load-dependent bearing losses (PVLP) are accounted for according to the data provided by the bearing manufacturer in the relevant bearing catalogs.
Meanwhile, there is also a start/stop function that leads to a fuel consumption reduction of about 5 %.
Mohr: Challenges of CO2 Reduction.

Reduction and Core Attribute Set.
The intersection of all reduction attribute sets C is called the core attribute set, which is represented Core(C) , and Core(C) ∩Core(C) = .
After the data field collected are preprocessed, they are input into the field computer, then they are transmitted to the remotefault diagnosis and control computer.
Just, when it isn't reduced, the decision example contains all the operating mode information parameters, the rule is applied to Single cause Cause sets Data reduction Data discretization Data gathering Diagnose results output Update cause sets Beginning End Fig.2 Flow chart of diagnose Succes s Knowledge acquisition N Y Fig.1 Hydraulic pressure system of ultrahigh speed grinding Third Filter Second Filter Check Valve Accumulator First Filter Pump Air Filter Spindle Oil Tank Liquid Leveland Temperature Meter Pressure Meter Pressure Relay Contrl Signal of Main Motor Relief Valve Hydrostatic and Dynamic Bearing diagnose fault on condition that all the operating mode information must be derived, and faults can be diagnosed correctly.
Table 2 is a decision table that is derived after table 1 is reduced through reduction of RS. "-" in table 2 represents superfluous attribute, conditional attributes of decision examples decrease greatly after reduction.

The actual flow curve used in the simulations includes the experimental values and a Hollomon extrapolation based on the last data points up to a strain of 3.0. 2D FE-Model of channel rolling.
Transfer of field data.
Additionally, previous experiments by Senge et al. [6] are added to increase the amount of data points.
The simulations indicate that the undercut starts at approx. 7% height reduction.
The maximum of approx. 60 µm is reached at approx. 14% height reduction.

Data mining is to discover knowledge from large amounts of data.
The data may be structured data in the relational database and the data in the data warehouse, and can also be other complex data types, such as object data, spatial data, multimedia data, time series data, text data, and Web data and so on.
There is massive data information in the Web, how to carry on these data and complex applications becomes a hotspot of data mining technology of the database is now found the disciplinarian content from a large number of data, solve the problem of data application quality.
Relative to the Web data, the traditional data in the database structure is very strong, which is the data of fully structured data, but the data on the web are basically originates from the heterogeneous database environment, and most of the data structure is semi-structured, this treatment brought many challenges to the data.
Facing the information often text, graphics, image data such as semi-structured data, and even to be heterogeneous data.

For instance, the data after the background noise reduction treatment was displayed in time waveform diagram and spectrogram, which can reduce the environmental noise interference and make the song information much more clear.
Fig. 2 Color adjustment flowchart Large data processing.
Song Lab realizes the data transmission between sound files and software by a method of combining the multithreading design with stack technology, compared to the way of reading single thread data, reading efficiency of multi-threaded applications data has been greatly improved.
The specific design process as shown in Fig. 3: Thread (1) is data read threads, its main function is to read the *.Wav file data, and then write it in the stack to realize the data cache, it could read large amount of data each time, which can ensure multiple data transferring.
Thread (2) is responsible for reading data from the stack, at the same time inquires the stack data storage condition, and then determines whether needs to read data or not, if necessary, notify device will issue instructions, and then notice data read threads will read data.

The maxima heights decreased to 6 times with respect to the silver microphases, which is caused by the presence of a reducing agent, and is consistent with the literature data [16].
Thus there is a fold decrease of the maxima heights silver nanophases compared with silver microphases, which may be caused by the formation of the different monolayers of silver oxide as a result the chemical reduction and is consistent with the literature data [16].
This reduction of maxima heights can be associated with the formation of silver oxide monolayers in the different oxidation in the presence of large amounts a reducing agent and is consistent with the literature data [16].
These facts may be explained by the presence of an excess of a reducing agent than silver nanophases obtained in equal molar ratio of reactant which in agreement with literature data [16].
These facts may be caused to the presence of an excess of a reducing agentt which in agreement with literature data [16].