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It can provide basis for manufacturing readiness level and risk management (plans, and confirmation, and analysis, and reduction, and implementation and track).
Using BP neural network to evaluate the project Input the associated data of project into evaluation model and calculate and evaluate based on the model.
The top 13 groups of data in table1 are used as training data, with remaining 2 as a test data set.
Set the 14th, 15th data into the test, value assess is shown in table2.
Beijing: National Defense Industry Press. 2010:3-6,74-192 [8] Li Tingjun, The Phonetic Complex Data Based on FPGA Key Engineering Materials.

Many approaches employ k-means clustering because of its computational simplicity, which allows to apply it to very large data sets.
It is the reduction in the uncertainty of one random variable due to the knowledge of the other.
We first explain the experimental setup, then show the results on different test data and compare with other methods.
Test Data.
Data Mining: Concepts and Techniques, Second Edition.

According to the literature sources, the presented sequencing problem, denoted as CSP (Car Sequencing Problem) belongs to the NP-hard class, as has been proven by simple reduction from Hamiltonians Path problem.
To start operation of the CSS all the required data, e.g. the number of workstations, processes and operations in processes (including the determination of the scope for concurrent execution of the operations on the following workstations), should be introduced in the appropriate forms.
After entering the data, searching for the proper sequence can be started.
Skołud, Production Preparation and Order Verification Systems Integration Using Method Based on Data Transformation and Data Mapping, Hybrid Artificial Intelligence Systems, Lecture Notes in Computer Science, vol. 6679 (2011) 397-404

The hot spot of Ad Hoc network is to realize further energy consumption reduction.
Each data packet contains 512 bytes.
It is optional, and its destination is not stationary, namely it is random among the nodes in the process of data transmission.
Fig. 2 and fig. 3 show that the data delivery ratios of NL-AODV and AODV both decrease with the increase of the motion velocity.
However, compared with the NL-AODV protocol, LN-AODV protocol is worse at time delay and data delivery ratio.

Yuan Li [2] et.al proposed using LPP based method in fault diagnosis, it is a kind of linear dimension reduction method which can keep adjacent structures, meanwhile it can find the low dimension information hidden in high dimension data.
Ej is a constraint of (1) and it indicates that once data point xi is chosen by other data points as center, it must first is the center of itself; Ii is another constraint of (1) indicates that each data point can only choose one data point as its center.
For each condition 50 data points were chosen, therefore we have 450 data points.First 31 features are extracted from this data points.3 features are selected from 31 features respectively by AP clustering, PCA and LPP.
Clustering by passing messages between data points[J].
Bearing data center fault test data[EB/OL]. http：//www.eecs.cwru.edu/laboratory/ bearing/ [2011-01-01].

These values were applied due to the data provided in Figure 6 which presents the load vs. displacement properties of the Belleville washers in question.
The maximum force applied was set to 7000 N in this investigation in order to avoid exceeding 75% of the maximum deflection, which would result in significant force increase and stress characteristics [13]. 0 2000 4000 6000 8000 10000 0 1 2 3 4 5 6 Load (N) Deflection (mm) Single Disc Spring 4 x Disc Spring in Series Fig. 6: Force vs. displacement data - washers in series It is worth noting that the strip guide does not subject the material to any deformation as it consists of two flat rolls.
Fig. 7: Profile elements for validation Table 1: Model validation - numerical vs. experimental data Element Experimental Numerical Variation (%) a 17.769 mm 17.661 mm -0.608 b 17.343 mm 17.380 mm +0.213 c 1.432 mm 1.499 mm +4.679 d 54.546◦ 55.05◦ +0.933 The successful validation of this model then progressed the investigation to subjecting the top roll in the third pass with variable pressures as previously described.
This data represents the thickness strain for the following three simulation configurations: the original standard friction model simulation where no force is applied to the top roll; and when a 2000 N and 7000 N load is applied
-0.025 -0.02 -0.015 -0.01 -0.005 0 0.005 0 50 100 150 200 250 300 350 400 450 Thickness strain () Distance along strip in z-direction (mm) Original 2000N 7000N Fig. 10: Thickness variation along web This data is collected to illustrate that some thinning occurs in each of the simulation set ups.

At present, the software comprises:  The database with text data - i.e. a verified set of information on the object under examination and technical specifications of operating/monitoring it;  The database containing measuring data - more than 4000 records on the Polish population of the SO-3 engines, collected during more than 15 years, taken at OAT = -25 to +30o C, pA = 720 to 770 mm Hg, and humidity of 20 to 100%; also, the SO-3 overhaul-delivered data (collected during 12 years), including, among other things, information on frequency spacing of blades in the blade ring.
The diagnostic rules also facilitate automatic identification and verification of the source of measurement data (the engine type and the serial number thereof) and software-based synchronisation of taking subsequent records.
By 2007, the E1 estimator has been reduced by 39% (as compared to the level of 1994), whereas reduction of the E2-related risk of the HCF + LCF affecting the blades needed some changes in the process of engine overhaul (improvement in the rotor balance, account taken of torque balance of the rotor, changes in principles of frequency-based selection of blades).
By 2007, the E2 estimator has been reduced by 19% to the total effect of 55% reduction in the number of engines affected with the described phenomenon.
During 15 years of using the noncontact blade-vibration measuring method, the following things have occurred:  Since 1991 no fatigue crack of any compressor blade in the SO-3 engines has been found;  The statistical mean time between fatigue break-offs of blades has been increased (eight times for calendar-based data, and four times on the hourly basis, which is the effect of some decrease in the total flying time per year per one engine);  The surge as a result of maladjustment of the fuel system and latent defects of subsystems has been eliminated;  Five SO-3 engines have been taken out of service due to excessive errors in shapes of blades of the compressor 1st stage rotor.

In this paper, the fault test and the engineering practical fault data of rolling bearing were analyzed by dual-tree complex wavelet transform and AR power spectrum.
DT-CWT is a kind of wavelet transform that has many good characteristics, for example, approximate shift invariance, good directional selectivity, perfect reconstruction, limited data redundancy and efficient computational efficiency.
Fig.2 Diagnosis method based on DT-CWT and AR auto-power spectrum Analysis of experiment Fig.3 shows experimental system consisting bearing test rig, piezoelectric acceleration sensor, data acquisition instrument and laptop.
The normal and faulty bearing installed in the bearing test rig in turn that gather the data of experiments.
Then data acquisition instrument made data to laptop and analyzed it.

SEM images and granulometric analysis showed significant reduction of particle size with the increase of milling time.
In general, temperature sensors are used together with flow sensors in order to obtain more accurate flow data.
Both of the two values are extremely high, which allows the fabrication of a sensor with characteristics that allow its use in conditions of high precision and rapid obtaining data.
The sensors made of this material are reliable; they are indicated to be used in conditions requiring high precision and speed in obtaining data.

Based on CT data and under the maximal load during a normal walking cycle, 3D finite element analysis (FEA) was carried out to analyze the stress of bone around the new implant in three cases of distally truncated femur at high-position、middle-position and low-position.
Part 2, a silicon rubber 2 3 1(A) 1(B) 1(C) Fig. 1 Cutaway view of multi-part implant Fig. 2 One section of CT scan data of femur a b c d (a,c: front view b,d: side view) Fig. 3 Precise and simplified 3D CAD model of femur circle serves as cushion to reduce impact.
CT scan data of human femur was obtained from a 24 old female.
Precise 3D CAD model (Fig. 3a,b) of femur was constructed by input of the contour information of CT data.
The model of femur constructed by setting CT-data based models as prototype with preserved important features, and the maximal load during a normal walking cycle, and the consideration of different truncated position, contribute to the improvement the accuracy of the result.