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The composition of radar systems include: the main shock source, timer, frequency synthesizer, the main shock function transmitter amplification chain, receive/send switch radar antennas, receivers, digital signal processors, digital data processor , radar terminal display antenna servo system.
Testing hardware is a carrier which can adjust nearly 20 important parameters for navigation radar and collect data.
(5) Select ISA bus control interface as bus forms, which supports IEEE4882standard in WINDOWS-NT system, to achieve the “signal generation and processing unit” in the GPIB instrument remote control and data transfer.
It can greatly improve the test function under the condition of a significant reduction in hardware.
Storage and print the data in necessary then end the detection process.

N2 adsorption-desorption data were obtained from NOVA 2200e Quantachrome Instruments at 77 K prior to the N2 physisorption when the samples were degassed at 150 °C for 12 h under vacuum.
The pore size distribution and volumes were calculated from the data of the desorption branch of isotherms by Barrett-Joyner-Halenda (BJH) method.
The data of BET surface area, BJH average pore size and pore volume of silica/zirconia aerogels aged in different pH solution are showed in table 1.
Compared with the data of aerogels aged in acid solution, we can get the results that the specific surface area is higher than in neutral solution.
From the data of aerogels aged in alkalene solution, we can clearly find that the specific surface and pore volume are higher than that in neutral solution.

Object of simulation: · visualisation of the objects in the vicinity of the vessel on the radar screen, which are visible from the vessel during navigation, · active start-up of the radar, setting, tuning and amplification of the radar picture focusing on the reflections from the objects/targets, · adjustability of the radar range to the corresponding visualisation on the radar screen, · active functionality of VRM, EBL, navigation line with corresponding visualisation of indicated data on the radar screen, · active functionality of switching between the display orientation N ↔ course with the corresponding visualisation on the radar screen and the axis of the vessel, · active visualisation of indicated data by the appended nautical instruments, · visualisation of the objects without reflectors, with reflectors and all vessels, · visualisation of disturbing effects misrepresenting the radar visualisation of the inland waterways and its removal/reduction, · active indication of
x x Visualisation of indicated data from the nautical devices (AIS, Lot) x Radar visualisation on the base of ENC x Source: Authors I-ECDIS Type of display device for ENC: · approved type of PC for on-board operation on inland waterways, · approved software for visualisation of ENC maps, · ENC with database of difficult river sections in standardized format of I-ECDIS.
Object of simulation: · commissioning and download updated database of dynamic data, · display of selected river sections of navigation on the ENC in I-ECDIS format, · interim position of the vessel on the map scanned from the AIS device, · dynamic change of depth depending on the inserted height of the water level according to the particular watermark, · route planning of the vessel, · records itinerary of the vessel – navigation history.
Composition of device: · functional maquette of the device; receiving – transmitting data; output of the relevant position point, course, speed of the vessel, connection to the radar and PC with ENC.
Object of simulation: · commissioning and entering the basic data of the vessel, · ability to view other vessels on the screen with relevant data through the device/program menu, · call and retrieve data of the water level and NtS messages, · receiving and sending urgent messages.

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%.

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.

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.

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.

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.