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This method includes least-square optimization and statistical data preprocessing approach.
Its validity is evaluated with measured and simulated data in comparison with BDJ and BTJ cases.
Statistical data preprocessing approach Eq. 1 can also be written as: Ii,Ai=1..4=Pui,Ai=1..4
The statistical data preprocessing approach was evaluated using experimental data for two-label excitation (green and red LEDs) with a constant mixture maintaining the same spectrum at two levels of optical power (28pW and 56pW).
Data projection in this signal subspace produces preprocessed data plotted in Fig. 3b, from which SNR improvements were evaluated: 5.0dB and 5.6dB for 28pW and 56pW respectively.

The reduction in the weight of platen means the reduction in the cost of injection molding machine.
The reduction in the weight of platen means the reduction in the cost of injection molding machine[1].
As the modeling, the finite element analysis and the optimization design are performed in the same software, the seamless connection of CAD/CAE can be achieved, which ensures the unity of data and improves the editability of model.

By introducing the reduction coefficient of concrete strength and the equivalent restriction reduction coefficient,the non-uniform confinement force of square steel tube to its core concrete is turned to that of equivalent circular steel tube.
Therefore,on the basis of references[7], this paper tries to study the mechanical properties of SMTCC short columns(CHS inner and SHS outer) by introducing the concrete strength reduction factor, the equivalence restraint reduction factor and using equivalent principle.
Concrete strength reduction factor Recent research shows that the force of constraint to internal concrete provided by square steel tube is inferior to that provided by circular steel tube[9].
Based on the experimental data from references[6],the theoretical results are obtained according to formula(14), when,.
Conclusions (1) Based on the UST,the unified solution of ultimate bearing capacity of SMTCC columns(CHS inner and SHS outer) under axial compressive load is obtained by introducing the concrete strength reduction factor and the equivalence restraint reduction factor,in which the decrease of longitudinal stress because of the hoop tensile tension is considered.

As a result, we collected a series of data of temperature-humidity index, radiation temperature and wind velocity, made a good deal of graphs by data analysis and reduction.
We collected the data about temperature, humidity, radiation temperature, wind speed and wind direction etc.
Table 1: Measuring details Table 2: Weather data of Wuhan Weather Statio No.
Analysis and Comparison of Temperature Data in the Morning on Aug. 14th and Aug. 16th.
Analysis and Comparison of Temperature Data at Night on Aug. 14th and Aug. 16th.

A single pit on slender compression element can cause a significant reduction in the buckling capacity of the member.
For modeling the pinned ends boundary conditions of the tubular member, the end portions of the member were represented by a dome with relatively larger thickness and elastic modulus data to Table 1 Typical diagonal element of jacket platform* L [m] OD [mm] ID [mm] t [mm] A [mm2] L/r D/t 19 457 419 19 26222 126 24 * L = length, OD = outer diameter, ID = inner diameter, t = thickness, A = cross-sectional area, r = radius of gyration eliminate deformation effects at those portions.
For modeling the pinned ends boundary conditions of the tubular member, the end portions of the member were represented by a dome with relatively larger thickness and elastic modulus data.
The reduction was ranging from 3% to 10% depending on the hole positions. 3.
The maximum reduction occurred when the hole position was in the middle of the member length. 4.

In large scale data centers, server systems, or in the enterprise storage system, power consumption of hard disks is a critical issue where data-intensive applications exhaust disk storage extensively.
Moreover, virtualization is ever-growingly deployed in data centers for power and cost savings.
Power Usage Effectiveness (PUE) metric is often used to evaluate the efficiency of data centers [18].
PUE is the ratio of the total power consumed by a data center to the power consumed by the IT equipment that operates the facility.
And it is usually hard to get comprehensive data on the power consumptions of specific components.

Step 2: data sources and data acquisition and standardized treatment Because many indexes can be quantified, data are from the railway, then through the min-max standardization method treatment, linear transformation is done, the data are fall into interval [0-100].
Because other indexes difficult to quantify involve the fields of economic, social and political, data are gained from the experts in these fields who give satisfaction of evaluation indexes marking through comprehensive experience and research, and the score interval of comprehensive evaluation is [0-100].
Step 3: data discretization The score for each evaluation index is discretized, specific rules are for: if score lies in the interval [90-100), [80-90), [70-80), [60-70), [0, 60) , respectively, it is replaced by 5,4,3,2,1.
Table 1 Evaluation result table of six kinds of Table 2 Evaluation result list through locomotive circulation reform scheme the data discretization The rough set reduction properties show that the thesis only need to consider the three indexes including traffic characteristics (upward and downward passenger and cargo traffic volume), locomotive operation efficiency(average residence time repairing in locomotive section) and coordination with other transport facilities.
Table 3 Important degree and weight of indexes After the reduction of rough set, quantized data of selections of six kinds of locomotive circulation reform schemes are for: , , ,, , At last, the extension decision model and correlation function are established.

Natural insulation materials have great potential of development given the contemporary requirements of the society in terms of reducing the energy demands of the production of building materials and the reduction of CO2 emissions.
The results of the experiments provided input data for computational simulations of hygrothermal behavior of hemp based fiber insulation applied in building envelopes.
During the hygrothermal performance computation of the construction detail, both the effect of wind as well as rain precipitation (reduction factor 0.7) were taken into account.

The intensity data were collected over a 2θ range from 10º to 80º.
With the help of the International Center for Diffraction Data (ICDD) files, crystalline phases were identified.
The strong peak was assigned to the reduction of Mn3O4 to MnO, while the weak reduction peak was attributed to the reduction of MnO2 and Mn2O3 to Mn3O4 [3,9].
The Co-Mn/TiO2 catalyst showed three reduction peaks.
The third one was related to the reduction of the CoMn2O4.

Data of Mosque under Consideration The mosque selected as a base case is Al-Hajri mosque, lies in east of Riyadh.
Table 2: Data of Mosque AC Central type (10 units) Total area 40m x 55 m Door 3 with dimension of 2.4m x 3 m Windows 10 with dimensions 2m x 3m Height 8 m Factors Affecting Energy Consumption Following factors contribute to energy consumption: i) Zoning/Partitioning Zoning helps in reducing monthly bill by 30%-40%.
Using eQUEST (Quick energy simulation tool), a mosque was modelled and a series of parametric simulation was conducted to acquire mosque energy consumption data for the daylighting.
Fig. 5 Effect of Daylighting The lighting load gets reduced by 28% resulting in 3% cooling load reduction with an overall reduction of 2.2% energy consumption.
Technical data for Al-Hajri mosque air conditioning units is: Table 5: Data of AC Units Cooling capacity (ton) 25 ton Number of units 10 units Cooling capacity 300000 BTU/h Cooling capacity 93 KW Power input 30 KW The air-conditioning unit consists of a compressor, an evaporator condenser.