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Based on the acquired data an Artificial Neural Network Multi Layer Perceptrons(MLPs) and Radial Basis Functions(RBF) Neural Network has been designed to recognize each one of the aforementioned defects.
After training the Neural Network, it was checked by new data gathered by new experiments and the results showed that the designed network can predict the faults with more than 75% reliability, and it can be a good assistance to an ordinary machine operator to guess the problem and hence make a good decision.
Two third of the data is used for training of the network ( a 11×56 matrix) and one third of the data is used for testing the network ( a 11×28 matrix).
Error reduction rate and the coefficient modification procedure are deducted from the following relations: Ei=12dℇDtid-oid2 D=training set (13) Where ο is output transfer function and t is the desired output.
Amount of new coefficients obtained from the following equation: Wij=Wij+∆Wij (15) For the categorization of the extracted data Radial Bases network have been used.

Initially, part data is converted from CAD-files via less memory intensive triangulated surface models to suitable machine formats.
Thus, methods based on digital data from the company’s enterprise-resource-planning system or part database are applied, such as pareto analyses [18].
This can be performed automatically, given the existence of corresponding data, making it suitable for analyses of large part numbers.
On the one hand, the design potential can be evaluated by analysing quantitative criteria that are derived from available part data.
Business model specific adjustments primarily concern data management tools for part data and order processing, for example in order to handle customer specific design input.

The obtained experimental data indicated that, with the reduction of rotational speed and load, the steepness of the combustion process-related pressure curve increases.
Comparison of the results of calculations with data determined from actual operation is provided in Table 1 and in Fig. 4.
Very high conformity of the calculation results with experimental data was achieved (Table 3).
Reduction of the Wiebe function factor in this case could potentially lead to further reduction of the mapping error.
Analysis of the experimental data has indicated that the engine performs one of the two injection strategies, i.e. single or dual injection.

The research showed reduction in cost and cycle time of new parts development.Lee et al. measured compressive strength and it was shown that parts made by FDM, 3D printer and NCDS have anisotropic characteristics [27].
Xiaomao et al. proposed and tested a robust and efficient support generation algorithm based on slice data [29].
By comparison between the measured data and computed values, the validity of the proposed expression was proved [30].Galantucci et al. studied the mechanical properties of FDM prototypes treated with a solution of 90% dimethylketone and 10% water have been analyzed [31].
In conditions of reduced roughness, a minor reduction of the tensile strength was found but a greater ductility was found.
Haitao, Slice Data Based Support Generation Algorithm for Fused Deposition Modeling, Tsinghua Science and Technology 14 2009 223-228 [30] D.

The strong reduction of cooling oil brings environmental benefits.
This cable was successfully bent at 90 ° with a radius of 1.23 m without any critical current reduction.
To get the same conductor for both the primary and secondary windings for cost reduction, the secondary winding is composed by four coils in parallel.
With the data of figure 4 and the specifications, the magnetic flux density is 0.2 T.
Using these data, the different costs of the transformers are in table 4.

The law of reliability distribution and its parameters should be selected on the basis of the skilled data of operational reliability of similar systems.
Comparison of received by method of dynamic modeling load mode of hydro mechanical transmission of the heavy dumper with experimental data is shown on Fig 3.
Reliability at the Test and Service Stages Practical estimation of reliability should be made on results of the laboratory accelerated tests and service data.
At the statistical analysis of test results for determination of the law and parameters of the distribution, in the best way describing the experimental data it is recommended to use function of the maximal likelihood.
Statistical processing of time to failure data has allowed to determine, that the best approximating distribution of this data is Weibull distribution with parameters of scale µ= 0.000004 and form β= 2.04.

Fig.1 Approximation process of difference equation coefficients The deficiency of RLS method The principle of RLS showed that the biggest flaw of the method is "data saturation" phenomenon with the growth of the amount of data, because the increase of k, P(k) will gradually close to zero and lose the correction capability gradually.
From the simulation data, it has also been demonstrated when the data is close to a certain extent, even if the number of iterations increased continually, the data accuracy did not increase any more.
RELS parameter identification We have proved that RELS method could solve the "data saturation" defects of RLS method, and has a strong convergence.
RELS method could solve the "data saturation" defects of RLS method, and has a stronger convergence and more accurate than RLS.
Kung, “A new identification method and model reduction algorithm via singular value decomposition,” in Proc. 12th Asilomar Conf. on Circuits, Systems, and Computing, 1978, pp.

Meantime , According to the data, author do some research on the new problem in the quality of the building construction.
Through carrying on the statistics to the primitive investigation data, author calculated the veracity of the building project as well as all levels of veracity of the second index.
From Figure 1, the traditional complaint hot years of complaints cumulative number drops quickly, indicating that the overall level of residential construction quality been significantly improved and the engineering main quality problem been a significant reduction.
The step is calculating three level of index weight according to the two formula: (1) (2) 5 Statistics and analysis of the survey data The fuzzy comprehensive evaluation in recent years is a method that is widely used in various fields of evaluation methods and based on the evaluation criteria given measured after the fuzzy transformation making evaluation of things.
Quality degree evaluation system of housing construction was used to evaluate,and two index weights been shown in Table 2;it is getting the weights of three indicators putting the raw data into the formula 1, 2 and seeing table 1.

Operation factors of autotrophic denitrification with elemental Sulfur as terminal product Yi Yuan 1, 2,a, Yong Huang 2,b, Xiang Li 2,c, Liang Wang 2,d 1School of Environmental Science and Engineering, Tongji University, Shanghai, China, 200092 2School of Environmental Science and Engineering, Suzhou university of Science and technology, Suzhou, China, 215009 a yiyuansuzhou@163.com, b yhuang@mail.usts.edu.cn, c lixiang68411364@163.com, d 18862199176@163.com  Keywords: autotrophic denitrification; nitrate reduction; Sulfide oxidation; elemental sulfur accumulation Abstract.
The average data of stable periods in different HRT were given in Fig. 3.
The average data of stable periods in different pH were given in Fig. 4.

Figure 2 - Distribution of cumulative frequency - Thermal data acquired from 5sensors - July and August 2011 Both duringthemonitoringinthemonth ofJuly than inAugustyou can see howthermal valuesrecordedare locatedwell beyond therangeof valuesconsidered optimalby the reference standardforthe different typesof artifactspresent.Particularly interesting isthecumulativefrequency distributionfor the hygrometric data:you can noticehow oftentherelative humidity valuesrecordedby the sensorsremain withinthe rangeidentifiedas optimalforpainted wood sculpture(Fig. 3).
Titanium dioxide paint Steikos art: experimental results of pollutant reduction The photocatalytic coatings and paints “Fosenergy” produced by Steikos - division promoted by AZ Tech, leader in the field of photocatalytic products and nanostructured materials- are made using titanium oxide nanoparticle product not for dust’s dispersion, rather for synthesis in a solvent [13].This treatmentmakesthepaints more active and effective in the action of environmental pollutants photodemolition.The experimental data following are provided in relation to light radiation exposure period and to the mass of pollutant converted.
Possibilities and limitations of an experimentation still under development Although the experimental data acquired are unquestionably very beneficial in many ways, at the same time it is necessary to consider the potential limitations of the application of nanotechnology in areas other than purely experimental.
Cannistraro, R.Restivo, Thermohygrometric monitoring using wireless sensors: study of seventeenth-century church’smicroclimatic conditions andenclosed reliquary,Science Series Data Report Journal, pag.101-123 - Vol 4 No. 4;Issn: 1307-119X ,(2012) [6] S.
Restivo,The conservation of sacred art: a case study purpose to search for an index of correlation between particle concentration and mass of fine dust, Science Series Data Report Journal, pag.63-84 - Vol 4, No. 4;Issn: 1307-119X ,(2012)