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Introduction of mechanization and automation of construction works primarily pursues the reduction in the consumption of total work, it means that the amount of direct labor decreased over consumption increased objectification work.
Stages of the design processing: · Initial phase, definition of the purpose and objective, positioning of the design in the macro-space, · Lead phase, definition of production resources, positioning within the micro-space, · Design processing, analysis of the current status and entry data, elaboration of alternative solutions, · Phase of optimization, selection of the optimal alternative.
Entry data represent the basic information database from which the designer derives in preparing the solution.
Individual impacts can be classified as follows: [2]: · Impact of the macro-space – definition of the type of building works, their volume, · Impact of the micro-space – positioning under specific conditions representing: o Conditions of the site: spatial, morphological, hydrological, geological, climatic conditions o Transportation routes access, o Energy needs and availability, o Land planning requirements (building impact on the given area), o Environmental requirements and requirements concerning occupational safety, o Machinery and equipment requirements as well as their technical data, · Impact of time-related data can be classified as follows: o Constant data in time: efficient time resources (of a machine, of an employee) o Time variables: performance standards, technological procedures, schedules, machinery fleet data, number of machines, value of the machinery, data on personnel social needs o Independent variables – contingent data: machinery breakdowns, personnel
Designing of building processes enables us to acquire additional useful data that lead to an optimal design of the given process implementation.

.; Warnings and alarms by email and/or SMS when over/below a threshold; High level of automation including data collection from elevators, automatic data transfer, storing of the information on server, and showing information on display; Information is accessed via Internet and shown on www pages with customizable look and feel.
By deploying data warehouse technology, the proposed system allows significant reduction of storage requirement for managing real-time signals.
The data generated from such testing can also be used for calibrating back office maintenance scheduling module and database related functions.
Signals and maintenance records accumulate in the database server over time and once it reaches a predefined threshold, the data from the database server is extracted, transformed, and achieved into the data warehouse server.
This advanced system can be run through the communication lines to transmit the operation and fault information to a remote monitoring maintenance center, with real-time data storage, online analysis, online intervention and monitoring and automatically generated data reports.

Economic benefits From the economic point of view, the housing needs in the data processing center processing about 20 knives, the processing time of over 50 hours, without special tools on the lathe processing, the processing time is only about three hours.
Our country manufacturing industry level compared with the developed countries, the overall level is low, a direct impact on China's industrial product quality and improve the reduction of manufacturing cost, influence the competitiveness of industrial products in the international market.
Data machine with its high precision machining, good flexibility, high-precision, high production efficiency, has a lot of advantages.
Individual domestic manufacturing precision of the data processing center, maintenance difficulties, the traditional processing methods can use made great economic benefits.

Thin TCP/ IP Protocol Stack Embedded TCP / IP protocol stack, the preparation is the key to achieve the EWS Because embedded devices storage resources are limited, this require the program to write quality higher, in order to reduce the length of the program binary code to improve execution speed, EWS needs a possible reduction of the TCP / IP protocol stack without losing its standards and mechanisms.
Order to quickly response to the received data packet, the Web server transmits it to the preprocessing calculation Thin TCP / IP protocol stack of the simple state machine, reducing the redundancy of data, greatly reduce the complexity.
Fig. 3 The Alternation mechanism of HTTP HTTP access process as shown in Fig. 1.4 Users can submit data to a Web page embedded applications, notifies the server by running a URL request processing information, call the pages in memory, using CGI interpreter processes, and then return to the page, while taking advantage of Web page can perform control commands to the device.

In a VLC systems, OFDM scheme is an appropriate modulation for high data rate application.
The analog baseband OFDM signal at the output of the DAC can be expressed as follows: (1) where N is the number of effective subcarriers, 2N is the total number of subcarriers, Xk is the complex data of the k-th subcarriers, with Xk =X-k* to ensure a Hermitian symmetry vector, ck is the power coefficient of the k-th subcarriers, with the normality constraint ∑ck 2 = 1.
The 0-th subcarrier means DC, and is not used to transmit data.
"Asymptotic limits in peak envelope power reduction by redundant coding in orthogonal frequency-division multiplex modulation." 

Data shows that the side shrinkage meets temperature characteristics and axial viscoelastic function.
The time temperature and Prony series fit were used for data processing. 1.2.
It got the experimental curve of Poisson's ratio at different temperatures and employed variable reduction method to fit principal curve, thus obtained the variation of Poisson's ratio curve over a wide frequency range.
The present convincing dynamic Poisson’s experimental data existing is very small.

The experimental data are shown in Table 2.
Pull test data sheet UTS-56LJ-CM-1/16-XL Dealer1 Dealer2 Sample 1 7.12 7.88 Sample 2 7.53 8.00 Sample 3 6.99 7.55 Sample 4 6.83 7.62 Sample 5 6.41 7.73 Secondly, design cable failure mode analysis(FMEA).
One-way ANOVA: Dealer1, Dealer2 Source DF SS MS F P Factor 1 1.521 1.521 15.10 0.005 Error 8 0.806 0.101 Total 9 2.327 S = 0.3174 R-Sq = 65.36% R-Sq（Adjut） = 61.03% Individual 95% CIs For Mean Based on Pooled StDev Level N Mean StDev ----+---------+---------+---------+----- Dealer1 5 6.9760 0.4091 (-------*--------) Dealer2 5 7.7560 0.1847 (-------*-------) ----+---------+---------+---------+----- 6.80 7.20 7.60 8.00 Pooled StDev = 0.3174 Tsui's-MCB Overall Error Rate = 0.05 Critical Value = 1.86 Various levels of Average Maximum Reduction Level Average Interval Level Lower Center Ceiling ---------+---------+---------+---------+ Dealer1 -1.1533 -0.7800 0.0000 (-----*------------) Dealer2 0.0000 0.7800 1.1533 (------------*-----)
[5] Haiyan-Wang,Michael G Akrita.Rank test for heteroscedastic functional data [J].

Microturbines operating conditions predetermine a number of basic requirements for turbines of this class: the minimum dimensions and weight at high power density (as a result - considerable variations enthalpies for a small number of stages); reduced frequency drive the rotor; ability to work in a wide range of power and speed; manufacturability of the design; simplicity and high-cost manufacture; reliability in operation; reduction of harmful impacts on the environment (exhaust emissions, vibration, noise).
Due to the inability of the analytical modeling of the supersonic flow at the turbine with a rotating rotor wheels, and due to great difficulties in numerical simulations, it was decided to use a non-linear regression analysis based on experimental data [1].
The difference between the experimental data and the calculated model was from 3 to 5%; 2.
Statistical analysis showed a significant correlation between the model and the experimental data and value for determining the degree of reactivity in the studied levels, a qualitative comparison with the works of other authors, also confirms the correctness of the chosen model; 3.

The acquired data were analyzed and indexed with TSL OIM Analysis software.
The first source of drift is a stage drift (its effect is shown in Figure 1a), which can be minimized by postponing the data acquisition for some time by letting the goniometer stage to stabilize.
In such a case a reduction of accelerating voltage is necessary.
In our case the EBSD patterns were collected, examined and indexed manually after each data acquisition to determine whether the charge was still present.
Fig. 3 (a) BSE image and the series of EDS maps acquired simultaneously with EBSD data of (b) zirconium, (c) titanium and (d) lead; (e) IQ map.

The current research paper deals with the methoding, die designing, modeling and simulation, optimization and finally casting of these components following the data produced by the former.
Table. 1.1 Basic data used for calculation of risers.
Si Mg Mn Cu Fe Zn Ti 7.50 0.45 0.10 0.20 0.15 0.20 0.01 Table 1.3 Initial Conditions and thermo-physical data used in the casting simulation.
Considerable reduction in cost could be achieved by using a computer simulation model with a good code; correct reproduction of initial conditions to thermo-physical data is very essential.
Ltd. for permission to use the data in this paper and Pakistan Science Foundation for the travel grant to present this paper at MSAT-8 in Bangkok, Thailand.