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The reduction products stem from the temperature and the reduction time [16, 18-20].
The reduction temperature upper than 1400 K (1127 ◦C), the chromia is reduced to the reduction products and that is the reason of degrading protective oxides.
After the oxidation, the sample was taken for the reduction test.
Fig. 5 Stability diagram for the oxides FeO, Fe2O3, Fe3O4, FeCr2O4, Cr2O3, MnCr2O4, and SiO2 calculated by the thermodynamics data according to Kubaschewski et al. [22].
Fig. 6 Ellingham diagram for selected oxides and carbides constructed by thermodynamic data from Kubaschewski et al. [22].

When Error Detection Schemes were used, there is a reduction in the number of cloud distributed storage systems.
Data owners can use the cloud data center as if it is available local, without having to worry about its integrity.
If any failures occur in the data center, we can recover the data from the compensation of neighboring data centers.
As a result, cloud data center requires encrypted data for the protection from unauthorized users.
While decrypting the data, users can utilize the key after getting the permission from the owner of the data. 3.

Noise reduction algorithm of MEMS gyroscope signal is studied in detail by combining CS theory with lifting wavelet transform.
Noise reduction methods of MEMS gyroscope commonly include Kalman filtering, time series analysis, etc.
Split is to partition the data into even sequence and odd sequence .Prediction is to predict the odd sequence with the divided even sequence, the received prediction error is the transformed high-frequency component.
Experimental Results and Data Analysis The experimental validation is mainly partitioned into static and dynamic experiments.
Conclusion This paper presents a noise reduction algorithm combined with CS and LWT.

Geometry, inertia, mass and frequency data of the gull were used to model the wing.
The design data for the Black Headed Gull used in this paper, was taken from these papers.
Secondly, it controls the input of the upstroke span reduction through the span reduction servo which is connected to a push rod via its servo arm.
UAV Wing Kinematic Analysis The experimental setup comprised of a LASER sensor, a Power Amplifier, a Data Acquisition Machine, a LabVIEW program, the model wing with LASER reflecting tapes and the control mechanism as shown in Fig 2(a).
The 3D plots show the overall wing positions at different instants of time from the cumulative data of all the points.

Furthermore, the static image-based methods deal with relatively less data, and they can achieve faster recognition speed and meet the real-time demand.
However, the Gabor features are usually high-dimensional and the dimension reduction should be done.
Feature Dimension Reduction.
So DWT can effectively realize dimension reduction.
Thus, the further reduction of feature dimension is obtained by DCT.

And it is easy to study the reduction mode and effect.
The following is the data thattextile enterprises provided.
The carbon emissions in the following table are calculated according to the coal consumptionand production data which is provided by Haitian in 2009 and 2010.
The table3 shows the carbon emissions according to 2009 and 2010 coal consumption andproduction data.
Table 4 Carbon tax that Haitian and Fengzhu couldface (2009) CO2Emissions[tons] 10 yuan/ton CO2[yuan] 20 yuan/ton CO2[yuan] Haitian 51,600 515,900 1,031,800 Fengzhu 260,100 2,600,600 5,201,200 Above table of data can be seen the carbon tax has negative impact onnet profit.

Manifold learning represents a promising research direction to the problem of nonlinear dimensionality reduction, the goal is to discovering the low-dimensional intrinsic structure hidden in high dimension data space.
(d) A noiseless Swiss-roll data (n=1000).
(e) 3NG is illustrated for the Swiss-roll data.
By using 3NG or SNG, 3N-Isoamp, a highly efficient and effective algorithm for dimensionality reduction is given in this paper, it does not require any structure information about the raw data.
Niyogi, Laplacian eigenmaps for dimensionality reduction and data representation.

Hence, the reduction ratio of gear reducer is required to be higher and higher.
This paper proposes planetary simple gear reducers with high reduction ratio.
According to equation (5), the reduction ratio Rr is 126.67.
Table 1 show the gear data of planetary simple gear reducer shown in Fig. 2(b).
Gear data of planetary simple gear reducer shown in Fig. 2(b) Sun gear 2 Planet gear 3 Ring gear 4 Ring gear 5 Teeth No. 36 21 78 80 Normal Module (mm) 1.0 1.0 1.0 1.0 Shift coefficient (mm) 0.16 0 0.46 -0.48 Pitch Dia.

This study is limited to the activity data and emission factors for each emission category which are necessary for the CO2 calculation.
Activity data relate to the activity that produces an emission into the atmosphere in the average year, based on 2011 data for UTM main campus in Johor Baharu.
The data are collected from relevant offices in UTM for each emission.
Activity data and emission factors are needed for the CO2 calculation, therefore, data from all parts of UTM should be taken to calculate the total carbon footprint for Electricity Purchased, Transportation and Solid Waste.
As far as this study is concerned, the data used in the calculation of carbon emission from solid waste disposal assumed that it did not undergo any other treatment except landfill.

Under the guidance of GHG Protocol standards for carbon emissions, the carbon dioxide accounting models on the process as a whole boundary are established, in which, the carbon emissions inventory is divided into three levels and the input data consists of CO2 emission coefficient and activity factor level data.
It can be seen that the model results are directly dependent on the data source and its quality, with activity factor level data provided by companies, and the CO2 emission coefficient obtained by measuring, upstream enterprises and the related database access provided.
But the process model does require this data, so the process model is more complicated than the enterprise model.
There is no quantitative analysis of these data in this article, but which will be analyzed and discussed in the later work
CO2 Emissions Data Collection User Guide, Version 6.