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Grey theory, developed originally by Deng[2] , including systems analysis, data processing, modeling, prediction, decision making and control, is a truly multidisciplinary and generic theory that deals with systems that are characterized by poor information and/or for which information is lacking.
That is: (9) (10) Test the GM (1,1) (11) , (12) , (13) Therefore C (posterior inferior) and P (small error possibility) can be described as Eq.14: (14) Data sources and process The related statistical data used in this study are all adopted from China Statistical Yearbook (CSY, 2002-2012) [6] and China Energy Statistical Yearbook (CESY, 2002-2012) [7].
Carbon emissions factors and fractions of carbon oxidized Item Coal Oil Natural gas NHV 20908 41816 38931 CEF 26 20 15.3 COF 0.99 1 1 2.7905 2.1465 1.6421 Confirm GDP and CE in based period By calculating the correlation data, we get the parameters in the prediction model of the GDP and the energy consumption, just as showed in Table 3.
Due to the incomplete data of the energy consumption structure of different provinces in 2000-2012 and the minimal impact of different proportion in every primary energy, we will use the average proportion of total energy consumption of different provinces and cities in 2000-2012 to replace its average proportion of carbon emissions.
Summary By using the emissions reduction quota allocation model based on marginal abatement cost curve, and minimizing the total emissions reduction costs as the goal, we calculate each province’s costs of carbon dioxide emissions reduction, and what’s more, we also give an optimal scheme under the reduction target in carbon intensity which the Chinese government has proposed in 2009.

In addition, large amount of 15R are formed through carbothermic reduction.
Graphite presents better quality of thermal shock resistance and alkali resistance than SiAlON-bonded silicon carbide in reduction environment.
Graphite Si Al Al2O3 SD 0 56.6 9.1 34.3 S 0 56.6 9.1 34.3 C 26.3 41.7 6.7 25.3 Notes: To make the data of SD, S and C more comparable in the following experiments, the data of sample C in the following Fig. 1 and Table 3 are derived by the calculation of (actual value×100/73.7). 73.7 represents the total percentage of Si, Al and Al2O3 in the ingredients of Sample C.
The AlN polymorph 15R is more pronounced in sample C than SD and S due to carbothermic reduction.
(8) The data in Table 4 show that, for sample S, Z values for axis a and c are very large but equivalent.

Total Quality Cost Reduction in Head Stack Assembling Wari Dansakuncharoenkit, Damrong Thawesaengskulthai Department of Industrial Engineering, Faculty of Engineering, Chulalongkorn University Bangkok, Thailand dwari@hotmail.com, damrong.t@chula.ac.th Keywords- Quality Cost, Head Stack Assembly, Cost Reduction Abstract— The PAF model, which is one of techniques about the cost of quality (CoQ), has been introduced to the head stack assembly process in the hard disk drive industry.
Therefore, cost reduction can be arranged and set as measurable goals in terms of the effectiveness of the quality system [1].
Cost of quality before improvement Data before improvement Percentage of cost of quality per cost of finished goods PC AC FC COQ Product A 0.74% 0.32% 0.39% 1.45% Product B 0.48% 0.26% 0.37% 1.11% Identificaition for further improvements.
According to data analysis of the cost of quality, failure costs have been considered to find the opportunities in cost reduction.
If the improvement plans could be more effective, the rate of cost reduction will be more significant.

Modeling and Experiment of Deformation Texture Development for Pure Al by CPFEM with EBSD Data Huachun Pi1, a , Jingtao Han1, b, Chuanguo Zhang1, c , A.K.
Both models predictions in tensile deformation are reasonable agreement with the experimental data.
Early studies connecting EBSD data to crystal plasticity modeling used manual measurements to define initial orientations.
More recent work has taken advantage of automated data collection on samples as a means of collecting detailed EBSD data for modeling.
The purpose of this study is to model deformation texture development for pure Al using crystal plasticity finite element method with EBSD data.

Very few of them mentioned catalytic reduction.
Finally, the CTL signal was transferred into visible data shown on the computer.
A simple chemical reduction method was utilized in the synthesis of Al2O3/Pt particles.
Two experiments were carried out to investigate the effect of catalyst on catalytic reduction of benzene.
Li, Effect of reduction method on the surface states of γ-Al2O3/Pt, J.

The reduction of graphene oxide (GO) to rGO is popular and attractive.
Hence, CARGO 180 shows a high degree of reduction among all other samples due to the synergistic reduction effect of cashew apple extract, which imparts i.e., a chemical reduction via various polyphenolic components in it and secondly, the high reaction temperature of 180℃ i.e., imparts a thermal reduction.
The d-spacing of the GO and CARGO 80 was calculated from HRTEM images using ImageJ software and was found to be 0.78 and 0.38nm respectively, which is in line with the data obtained from XRD studies.
Šiller, Green reduction of graphene oxide using alanine, Mater.
Zein, Green tea polyphenol-reduced graphene oxide: Derivatisation, reduction efficiency, reduction mechanism and cytotoxicity, RSC Adv. 4 (2014) 34510–34518

Data Fusion Model of BP Neural Network The BP neural network sensor data fusion and can greatly reduce the feature dimension data transmission, data fusion to improve the efficiency of a wireless network.
BP neural network algorithm uses a single hidden layer of the data collected by wireless sensor networks for data fusion.
After the data fusion algorithm BP neural network applications for each cluster, the neural network models for each cluster, the nodes in the cluster to collect data using the input neurons function to preprocess the data collected and handled well data to the cluster head node.
Eigen value data fusion is much less than the amount of data collected, thereby reducing the amount of data transmitted, reducing power consumption and prolong the life of the wireless sensor network.
Improved model incorporates the processed data is much less than the amount of data collected by the sensor nodes before treatment, thereby reducing the energy consumed during data transmission achieving the purpose extend network lifetime.

In this paper, an efficient model is proposed to protect the data in the process of transferring data to the cloud and get the data from the cloud.
The project shifts to cloud computing will result in dynamic IT growth and in some reductions in some areas.
The first phase deals with the process encrypt the data and storing encrypted data into the cloud securely and the second phase deals with retrieving the encrypted data from the cloud and decrypt the data and verify the Integrity of the data.
Storing the data To shield the data in the cloud from the third party who may destruct the data on purpose, the data stored in the cloud must be in encrypted from.
As the owner takes some precautions such as encrypting the data to protect the data, the data are always under the threat of damage.

Rely on the real-time traffic data which collected by the on-site testing equipments on the entrance ramp, the dynamic adjustment system can make sure of adjustable rate through controllers, which overcome the timing adjustment’s drawback that can not adapt to changes in traffic flow.
Data collection points are set up on the freeway downstream and the entrance ramp.
After the simulation and evaluation, the data obtained is processed.
Table 1 Analysis of simulation data under different reduction factor reduction factor 1 0.99 0.98 0.97 0.96 0.95 0.94 0.93 r(1)(veh/h) 600 546 492 438 384 330 276 222 Delay time (s) 188.78 193.25 188.35 192.74 191.95 190.64 188.54 194.72 Travel time (s) 195.55 200.01 195.13 199.51 198.72 197.41 195.31 201.49 Fig.4 Comparison of the system performance under different reduction factor From Table 1 and Figure 4, the adjustable rate under 0.98 times and 0.94 times the (it’s 492 veh/h and 276 veh/h respectively) can make system performance better, showing less delay time and travel time.
There are also some drawbacks in the process of simulation: for calibration of simulation parameters, data investigated is inadequate, there are some deviations on the evaluation of output data.

If the carrier frequencies are correctly chosen, the transmitted data can be entirely retrieved from the asymmetrically clipped signals with no in-band clipping noise.
The input data sequences X are multiplied by the M different random phase, and we must constraint on the factors in random phase vectors to ensure the multiplied vectors still satisfy the Hermitian symmetry.
Besides , it also needs to know the chosen random phase vector for correctly demodulating the received data symbols.
Therefore we improve the spectrum efficiency without declining the data transmission rate, but this will increase the mean transmission power.
PAR reduction in OFDM via active constellation extension.