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The tuning of linear models with large amount of data and MIMO (multiple input - multiple output) structure is also a standard procedure.
Transfer functions obtained by validate the moisture control process with the real time data.
The process model with poles and delay, the real time data has been estimated and validated.
Here 1000 samples of data were collected in a single shift by an paper plant.
In the validated data can provide an transfer function with the fitness of 88.09%.

This method (NRMYSF) is used to reach a linear, more robust relationship along with smoothing data, generalization of data and construct of new characteristic thus more accurate prediction data are offered [14].
Prediction of stress-strain values need the reversion of data set using inverse factor, then difference error can be calculated.
Normalised data are shown in Fig. 4 showing all peak deviator stresses has become unity at the same axial stress.
The refinement method of NRMYSF enhances the prediction fit to actual data.
Using normalised axial strain analysis, the predicted deviator stresses align with the actual laboratory data.

Main Part To estimate reliability of the electric equipment great amount of statistic data including data on failures of the separate units and their causes is required.
Under production conditions these data are either unavailable or their amount is not sufficient to obtain consistent results.
Statistic method involving analysis of the electric equipment fault data with instruments of the mathematical statistics.
The disadvantage of this method is that a sufficiently great amount of statistic data which is not always available is required.
At the development of the fault trees long experience in operating several existing thermal power stations, equipment time to failure data, methods of questioning operators and expert estimation have been used.

The pressure-normalized signal S/P confirms the H-meter reading is stable within the range of 2 % data scatter.
Figure 3 shows the data, including sampled liquid temperature, measured in the timespan of 8 days.
We can see both devices` data agreement in the range of 5 %.
It also operates the display unit, keyboard and the data transfer to a PC using USB interface (UART FT232 converter).
An example of such data shows in Figure 9.

In view of combustion process involves resources (including energy) utilization and reduction of CO2 emission, the related research mainly focuses on the following aspects [3,4]: · Analysis and modeling the energy and resource consumption of equipment, machinery and workstations in production facilities
The concrete data for the six Kyoto Protocol GHGs and their GWP factors can be drawn from IPCC[6].The amount of CFP can be calculated based on the activity data, emission factors of the use of energy, resources, and greenhouse gas emissions, formulated as follows: (1) where ECO2e is the total CO2-eq emissions ;Mi is the quantity of greenhouse gas i; GWPi is its Global Warming Potential ability of each greenhouse gas; EFi is the ith greenhouse gas emission; i = (CO2, CH4, N2O,…); is the activity data at the process step j.
It is well known that the available data (i.e. energy consumption and production data) of the production process is various and complicated for collection instantaneously.
Moreover, much precise data could be even useless due to the method approximations and the related foresight uncertainty.
Therefore, it is worth to concentrate on the measurable index of capacity of expression and evaluation for production data.

With regards to transport junctions of flow analysis algorithm, there are problems in these stages of data acquisition, pre-processing and feature extraction.
In the stage of collecting data, major factors affecting the frequency variation of oscillator circuit of loop detector are chassis and speed.
Secondly, because of detector, environment, used method and human element, the original measurement data inevitably have errors despite some software algorithms can process them.
Then in the period of data pre-processing, asymmetrical base plate would cause frequency waveform in unnoticeable boundary, demanding multiple processing, such as quadratic differentials, reduction of dimensionality.
It has a rather high rate of precision and is cost-effective; (ii) since the detector is buried before the stop line, cars won’t stop over it and they can pass by the stop line at steady speed, no big variations of frequency and range, which is helpful to acquire accurate data; (iii) acquisition data and generated data are of low dimension.

Introduction XML(eXtensible Markup Language, XML) document is a flexible, self-describing, and semi-structured data format.
Form of XML data has become a mainstream form of data, hat makes extracting useful information from the XML data as the current research focus.
Concept definition In practice, usually dealing with XML data is modeled as a labeled graph, or simplified as a labeled tree.
Test data set using the INEX 2005, INEX 2006, and the XMark generated data.
The results show that the proposed algorithm has better performance of recall and precision, compared with several typical methods, and no significant reduction in response time.

In this paper, with the SPSS statistical software, we select the 10 listed companies as an analytical sample, 2012 listed company's annual report for the data source, use the factor analysis method to make evaluation the financial quality of the 10 listed companies.
Selection of evaluation index In view of the accessibility of the data, select the nine evaluation indexes from the quality of asset, the quality of the capital structure, the quality of profits and the quality of cash flow, construct electrical machinery and equipment manufacturing industry listed companies' financial quality evaluation index system.
Data (Table 1) is a collection of 10 listed companies financial data for the year 2012.
14.36 34.2809 0.53 18.1582 CHINA-KINWA HIGH TECHNOLOGY CO. 0.313 3.5947 61.0405 0.83 0.6509 0.26 16.1026 0.0045 -5.1834 ZHONGTIAN TECHNOLOGY 0.8231 3.113 39.4432 1.8008 1.2839 9.36 21.1815 0.598 8.7615 Factor analysis method suitability test Before the given sample index data for factor analysis, numerical input of 10 listed companies in various financial indicators KMO and Bartlett test in SPSS software.
Table 4 Rotated Component Matrix (a) Component 1 2 3 X1 .025 .841 .104 X2 .180 .172 .934 X3 -.855 .066 -.416 X4 .971 -.019 .204 X5 .946 .000 .309 X6 .084 .980 .059 X7 .462 .603 .605 X8 -.079 .922 .117 X9 .931 .200 -.220 Computing factor scores and rankings Through the SPSS statistical software, data processing, as shown in (Table 5), automatically generated Fac_1, Fac_2, and Fac_3 three factor score, the three factor score can instead of the 91.960% of the original data information.

Data sources and research methods 2.1 The data source In this paper, the referenced data from Tianjin statistical yearbook, Chinese ports yearbook and China statistical yearbook from 2003 to 2011. 2.2The construction of evaluation index system We evaluated the correlation of sustainable development between port logistics and regional on the basis of the index about sustainable development and port logistics and establish comprehensive Index.
Under the guidance of the principle of operability, systematic, dynamic, the paper considered the scientific and availability of data and references the previous studies, then builds a comprehensive and systematic evaluation system .In the evaluation of Tianjin regional sustainable development ability, the evaluation index system was divided into four level indicators and 24 secondary indexes: The evaluation index system indicators of correlation analysis with port logistics and the regional sustainable development is mainly shown in table 1: Table 1: The port logistics and the evaluation index system of regional sustainable development ability correlation analysis The index type Level indicators The secondary indicators Urban sustainable development Economic development ability system Z1 GDP per capita X1 GDP X2 fiscal revenue X3 Industrial enterprises above designated size in total assets contribution X4 Urban residents per capita disposable income X5 The actual
Using the idea of dimension reduction, change the indicators into several small parts that can contain most information under the system of multivariate statistical methods .The weight determined is based on the data analysis, not influenced by subjective factors, and the index got is independent of each other, reducing the cross information, what makes analysis and evaluation result is objectively. ②PCA was carried out on the data with the help of SPSS17.0.According to the principle that contribution rate is more than 85%,using PCA to analyze the system, finally determine the index weight of subsystems.
Input related data in SPSS17.0, and then get table 2: Table 2: KMO and Bartlett's test Sampling enough degrees of Kaiser - Meyer - O1kin measurements .731 Bartlett sphericity test The approximate chi-square 106.960 df 15 sig .000 As shown in the table above, the value of KMO is 0.731, greater than 0.5, Bartlett test statistics corresponding significant Sig was 0.000, indicating that the selection of the variable in this article is suitable for principal component analysis. 3.1.2 The principal component analysis of the Economic development ability system Six Basic indicators are selected in the economic development ability system, using the SPSS17.0 to deal with the data, get the table 3: Table 3: Main component of total variance contribution rate of economic development ability system component Initial Eigenvalues Extraction of sum of squares loaded total variance % Cumulative % total variance % Cumulative % 1 5.150 85.838 85.838 5.150

It takes a long time to collect data on the tires and the relevance of the final result will be reduced.
It is possible to collect data on 15 - 20 tires, since tires of other models can also be fitted on these buses.
Certain difficulties appear if the new tire model is in service only for the short period – the last mileage intervals in Fig. 4 will not have experimental data.
The date of tire inspection The date of tire removal Predicted data of tire tread wear resistance Comparison with average (“standard”) data of tire tread wear resistance Actual data of tire tread wear resistance Tire mileage Fig. 5.
This is a problem of a social level (ecological) - reduction of environmental pollution.