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Configuration of 36 Testing Holes , Cp Data Collecting Procedure The data collecting procedure is conducted after determining or measuring the whole instrument that support in this data collecting procedure.
Data Collecting Steps : 1.
When the blower has already stable, conduct data collection. 4.
The data collection of the pressure distribution with the variation of the distance between ring with 10o sloping angle, is conducted by collecting the data from the cylinder surface. 5.
The data collection is taken three times at every variation of distance between ring.

The dynamometer controller also records data such as the engine speed, torque, power, engine temperatures, throttle pedal position, fuel flow and air flow in real time.
Prior to running the engine for data collection, the engine was warmed up for 20 minutes at 2000rpm and 20% load.
The engine was allowed to stabilize before the data were recorded.
Data for other speeds and loads also showed either slight increase in NOx emissions or no significant change.
Reduction of up to 56% was observed at 40% biodiesel fraction.

The data acquisition system is composed of four modules: the transducers (the force transducer for the z direction, the force transducer for the x direction consisting of tensometric devices HBM 350XY11) placed on the two rings of the dynamometric table, the signal conditioning modules (MB-38 produced by Keithley Instruments Inc.), the analog – digital conversion device (KPCI 3108, Keithley Instruments Inc.) and a software package that controls the acquisition system and processes the collected data (TestPoint).
The system used to measure the strain and thickness reduction was an optical system Argus by GOM.
Fig. 5 and 6 presents the variation of thickness reduction th for cases Fem9 and Exp9.
Thickness reduction variation th for case Fem9 Fig. 6.
Thus, strain and thickness reduction rise with the decrease of vertical step.

The input data after frequency reduction processing and the local simulated code are converted into the frequency domain by means of FFT (Fast Fourier Transform).
The CL code is unmodulated by data and has a length of 767,250chips (1.5s).
（1） After frequency reduction processing, the input data that needs to be processed is greatly reduced, and a higher degree of data accuracy can be achieved, while the samples of local generated signal will be reduced.
The experimental data shows 4 satellites can be found from 20ms of data, numbers 5, 7, 15, 29.
Using the method of frequency reduction processing of the samples in software, better stability of the resulting data can be achieved, the amount of input data needed to be processed could significantly be reduced, a higher degree of data accuracy can be obtained as well.

Dimensionality reduction is the mapping of high-dimensional data into some representation of lower dimensionality.
We apply GPLVM method for dimensionality reduction on the data set which is in high-dimensional form, and then we evaluate the quality of the resulting low-dimensional data representation by comparing the results attained to those we got when using intrinsic dimensionality estimation techniques, and lastly compare the performances of GPLVM and PCA on the same data set.
The data set consists of 53 data points with a dimensionality of 87 features.
Now, our data set has been successfully downsized using the above illustrated dimensionality reduction techniques, the next step is to make use of this outcome for effective and fast clustering.
Fig. 3 shows the resulting data clusters.

Pawlak, is an extension of set theory for the study of the intelligent systems characterized by uncertain, imprecise, incomplete and inconsistent data.
Preliminary Information tables are firstly defined by Pawlak for rough data representation [1].
Pawlak, Rough Sets: Theoretical Aspects of Reasoning About Data, Kluwer Academic Publishers, Boston, 1991
Luo, Data analysis based on discernibility and indiscernibility, Information Sciences 177 (2007), p. 4959–4976
Xie, Information-preserving hybrid data reduction based on fuzzy-rough techniques, Pattern Recognition Letters 27 (2006), p. 414–423

Introduction Vehicle weight reduction, cost saving and improved crashworthiness are the main driving forces behind material selection for automotive applications.
Thus, UHSS retains its advantages for weight reduction in welded joints.
In the common practice the simulation of problems involving geometric and dimensional tolerances presents many approximations that make the obtained results considerably different from the experimental data.
Lai - New perspectives for the reduction of dimensional problems in automotive assemblies - 8 th Florence ATA Congress - 2003
Lai et al., 'Weight reduction in automotive applications by using high strength steels: the challenge of a competitive manufacturing', Trans.

They may use Hive, Pig, ZooKeeper, Cascading and other module to solve serious problems in TB/PB magnitude data storage, extensible computing, and data analysis processing, and so on.
Experiment proved that when the data volume increases, the memory overflow of MR_CD and MR_DD will occur.
As to the above deficit, scientific reference [6] and reference [7] have made equivalent improvement, the idea is to add in a Combiner prior to Map output, used to reduce the local data reduction, similar to the local Reduce function, reducing data transmission in the network and I/O reading in the disk.
Map scans every recorded sectional K candidate item sets in data subgroups, each candidate item set counted as 1, then output the intermediate result by Combiner reduction.
Then we will use the present existing TB/PB grade gigantic data sets to undertake simulated test to this algorithm.

The EUROCONTROL study found a benefit of 1.6 to 2.3 percent reduction in fuel burn, and 0.7 to 1.0 percent reduction in emissions of nitrogen oxides (NOx) as a result of implementing RVSM.
To this end a large body of computerized flight data recorder [7] (CFDR) data was obtained for a variety of commercial aircraft.
Available CFDR Data Aircraft Type Engine Type A320-214 CFM56-5B4-2 B757-200 RB211-535C B767-300 CF6-80C2 ARJ85 LF 507-1F The CFDR data were quite extensive in the breadth of variables contained, with 103 directly measured or derived values.
This accuracy was previously found to be within ±14% of corresponding NASA data with 1σ confidence [8].
categoryid=702&pagetype=90 [7] Polymeris, J., Swiss Flight Data Monitoring, CH-8058 Zurich

The process is repeated until all input data points are assigned to an output neuron.
Through using the successful constructed data and design experience within the database, it will exactly acquire the initial data without additional design time and cost.
In step2, the FCM is utilized to cluster the data with the given number of clusters.
Fig. 5 shows the clustering result distribution status of the data in step 2.
Clustering result distribution status of the heat exchanger data in stage 2.