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Signal processing:filtering, shaping,and noise reduction, reducing the noise and deviation of sensor.
Road identification:according to the signal, road conditions are recognized, such as road adhesion, slope; Data selection:According to manipulating type and road conditions,the data representing the driving style are selected; Driving style identification:the driving style is identified based on this data and its condition; Style Storage: storing the above conditions recognition results; Integration of decision: the results of the identification and data in the past are fused and a final decision on the driver type is made.
Data collection and selection The data collection and selection is the previous work of driver type identification.The accuracy of the data on the driving style characterization restricts the validity of the identification structure[2].
This part of the work There are two points for this part of the work.The first is signal processing from the sensor and the second is the choice of the processed data.
The input layer accepts the sample characterization data, and its number of nodes is equal to the dimension of the input feature vector.For the starting condition, the input layer has seven nodes,which are respectively the vehicle speed at the end of starting, the average speed and the five elements in the throttle array of throttle opening,which are respectively 20%,30%,40%,50% and 60%。

The load’s control of central air conditioning system based on comfort Jun tao FEI1, a, Xing ying CHEN1,2,b, Shi ming XU3 , Lu CHEN3, Ying chen LIAO1,2,c , Gang WANG1 and Kun PENG1 1 College of Energy and Electrical Engineering ,Hohai University,Nanjing 211100,china 2 Nanjing Engineering Research Center of Smart Distribution Grid and Utilization, Nanjing 210098,china 3 NARI group corporation state grid electric power research institute afjtblue@hotmail.com, bxychen@hhu.edu.cn, cyingchenliao2@163.com Keywords: Comfort, load reduction potential, unload load, central air conditioning Abstract.
Their parameters are as follows: Table 2 Parameters of water chillers Number 1 2 3 Rated power/kW 200 200 200 Low limit of load/% 60 60 60 Type of COP COP1 COP2 COP3 Those functions of water chillers’ COP are as follows: (8) (9) (10) The requirement to the target of unloading is shown in Fig.1 Fig.1 Target unload the load The weather data of the day in Nanjing meteorological bureau is shown in Fig.2: Fig.2.

Strain Potential Method: This is one of the earliest methods developed to estimate seismic deformation [8], by combining the results of linear or equivalent linear analysis and the laboratory data.
Stiffness Reduction Method: Another method developed by Seed and his co-workers is stiffness reduction approach [7,13].
The method takes into account the strength and stiffness reduction due to pore pressure increase during the shaking and it also able to incorporate the residual strength after liquefaction.
Probabilistic Seismic Hazard Assessment The site specific seismic hazard assessment comprised several tasks, including data review and collection, fault mapping and trenching, earthquake source characterisation, ground motion attenuation, probabilistic seismic hazard analysis (PSHA) and ground motion assessment.
Attenuation relations for shallow crustal earthquakes based on California strong motion data.

Shapiro-Wilk Test was used to check the distribution of data.
At T3, T7, T14, all ligatures as well as the supernatant showed significant reduction of bacterial growth except NL-w at T3, as shown in Fig. 4B, C, and D, respectively.
At T28 [Fig. 4E], NL, 5ZL, 10 ZL and its supernatant showed significant growth reduction, whereas the supernatant water, NL-w, 5ZL-w did not show significant reduction.
These results indicated the reduction of bacterial growth of supernatant groups might be due to the bacterial toxicity of PU material.
In addition, the small release of Zn2+ in water could be the reasons for insignificant difference of bacterial reduction among supernatant groups.

Data generated were analyzed using SPSS software, version 22 for Windows. 3.
It is well known that reduction in fiber diameter tends to enhance the mechanical strength of the fibers [25].
There is a wide spectrum of bacterial strains that lactoferrin show an important inhibition which bacterial reduction depends on generally concentration.
In this study, it was very clear that increasing concentrations of lactoferrin showed a better reduction in bacterial growth in all strains (Fig.3).
Low reduction in growth of Flavobacterium psychrophilum by L including FG nanofibers can be explained by the antimicrobial/antibiotic resistant structure of the organism.

An efficient solution for this problem is to reduce the sending and receiving of irrelevant data, and only data that is necessary for the entities are transmitted to them.
Interest management has provided ability to filter irrelevant data in this way.
There are four main parts which are responsible for interest management in HLA standards[1]: DM(Declare Management), DDM(Data Distribution Management), OwnM(Ownership Management) and SURR(Smart Update Rate Reduction).
Among them, DM provides Class-based data filter scheme, DDM refines it based on value at instance level, OwnM provides the ability to change the producer of the value, and SURR adjust the rate of data updates.
Once the intersection of P and S1 is none zero, a connection will be built and the data of P will be transferred to S1 when the data is updated.

The data-based machine learning problem, the sample is based on estimates of known dependencies between, and thus unknown or can not predict the measured data and judgments.
SVM used in identificaition of credit risk of personal loans Data from a commercial bank committed to reducing the loan default rate data, including 850 former customers and prospective customers are the financial and demographic information.
According to the history of commercial bank personal credit data, select the 100 as the training samples, training samples are in arrears 41 customers, 59 customers who are not in arrears, which constitute a record 100 training data set.
Then the remaining 600 were divided into 3 groups such as historical data, as the test sample set.
Training data set using the support vector machine model for training and after training the model to test the test data set, and achieved good results.

According to the data of the effective access, the key is to build dynamic performance test platform to realize the dynamic testing nc machinery and the basis of performance, analysis and evaluation.
Rule is the data mining technology rules samples.
Inductive analysis of the sample data acquisition and design fault samples of the sample under test data base, can realize storage and retrieval, management and maintenance of the data and samples, and help realize sample data, using data and information integration, and reconstruction base construction.
Perform dynamic performance sample data acquisition on the characteristic signals of the machine, such as displacement, speed, acceleration, amplitude of vibration, frequency and work piece stress.
Research on Data-Driven Nonlinear Fault Prediction Methods in Multi-Transform Domains for Electromechanical Equipment[C].

With support of GIS software, we use the spatial analysis method of vector data.
In this paper, we use of the spatial analysis methods of vector data.
Data Sources The data sources is from "Gansu Development Yearbook 2010".
And the road network is based on the 1:10 million data of digital road map data sets.
First preparing the data of cities, counties and road network (shapefile).

There are also the data of this method application for covering inspection of the Kurskiy station in Moscow.
Decrease load carrying capacity due to the cross sectional reduction of reinforcement and concrete (by protective layer spalling); 4.
In the basis of reinforcement corrosion is cathodic process of oxygen reduction.
Available abroad experimental data found it impossible to introduce a single-valued criterion for resistivity, indicating the occurrence or loss of the protective concrete features in relation to the reinforcement.