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Many experiments did not consider the effect of bubbles in reduction process.
The XRD of chemical reaction shown in Figure 1.The results showed that the diffraction peaks position and intensity of the reduction matching with the JCPDS diffraction data, and did not contain diffraction peaks of the impurity phases.
Several sizes of microsize silver were prepared at different amounts of dispersants to understand the significant effects of dispersant on the size distribution of reduction reaction.
When pH > 5, is strong reduction and favorable nucleation.
When pH > 10, though ascorbic acid reduction will increase, greatly decrease the dispersion of PEG, that is, when pH = 10, the silver particle size become increases greatly.

The temperature data of 8 study sites The objective of this study was to find answers for the reduction of air temperatures by creating more vegetation in urban area.
To do this, we calculated the difference of temperature between the greening area and the non-greening area data.
Table 2 The temperature data of 8 stations.
Temperature(oC) Temperature difference (ΔT)(oC) Fig. 4 The temperature data of 2 stations on building roof during study period.
Temperature(oC) Fig. 5 The temperature data of 4 stations in street during study period.

The strong economic incentives, including both encouraging and punishment measures are quite helpful for Shanghai building energy efficiency and CO2 reduction.
Reducing building fossil energy use and switching to renewable energy or low-carbon fuels are the two beneficial measures of GHG emissions reduction.
Energy consumption of Shanghai non-residential buildings over the period 2000-2005 Year Non-residential building floor area [million sqm] Non-residential building energy consumption [TWh] Per square meters building floor area energy consumption [kWh/sqm] 2000 43.97 13.51 307.3 2002 57.04 17.69 310.2 2003 68.86 18.31 265.9 2004 80.57 20.09 249.3 2005 88.28 23.6 267.3 Data source: Shanghai Statistics 2006, 2006 Shanghai is trying to reduce fossil energy consumption and GHGs emissions from building stock in order to achieve social sustainability.
The biggest potential of building energy consumption reduction in this study emerges in AS3.
This study compares the results of carbon emissions and reduction potentials in the six scenarios (Table 7 shows).

The data with the highest measurement accuracy was selected and the average value was taken.
Viscosity reduction rate (Δη) can be obtained by Eq. 1.
To study the viscosity reduction rates of various catalysts on heavy oil, Figure 5(b) shows the viscosity reduction rates of Samples S1, S2, S3, S4, and S5.
The viscosity reduction rate of Sample S3 was 89.53%.
In 2019 IEEE International Conference on Signal, Information and Data Processing (ICSIDP) (pp. 1-5).

The anaerobic sludge reactor inserted in the return sludge circuit of the OSA system plays a key role for in situ sludge reduction.
Thus,sludge decay due to hydrolysis and lysis in the anaerobic tank resulted in the reduction of the excess sludge in the OSA system.
Such alternative of anaerobic-aerobic cycles stimulates the energy uncoupling which induces sludge reduction.
Candidate division TM7 is one of several newly described bacterial divisions exclusively characterized by environmental sequence data and can be found in sludge from EBPR reactor and full-scale biological nutrient removal wastewater treatment plants[14].
A reduction of 44% and 50 % was received at the organic loading rate of 0.41 kg·(kg·d)-1 and 1.13 kg·(kg·d)-1, respectively, in the OSA process.

Practical relevance of developed approach to control of ESR metal quality is revealed by data of achieved parameters which characterize properties of pipes and pipeline elements in energy and nuclear power industries which rely on ESR ingots as work-piece blanks.
There is no possibility to control the completeness of oxidation-reduction processes objectively and operatively.
Such distant benefit, however, does not arouse too much enthusiasm from metal consumers, hence the cost reduction for ESR metal items has become a challenging task.
Practical relevance of applications from the technique under development is revealed through the actual data about qualitative indicators for pipes and pipeline elements operated in thermal and nuclear power engineering and manufactured from ESR ingots, such data being accumulated by JSC “RPA “CNIITMASH”.
Assessment of technical and economic prerequisites for ESR use as a means of cost reduction for casing and pipe work pieces (Table 1) illustrate a drop of material and power expenditures, reduction in duration of thermal strain conversion and machining operations in comparison to a solid or hollow forging-grade ingot.

In practical engineering applications, good effect of noise reduction has been achieved.
This paper firstly takes a test on the noise of No.1 unit of this equipment, and have a spectral analysis according to the noise data in order to have a preliminary judge on the location of the noise source of the No.1 unit, and then combining the vibration spectrum, analysis of the reason of fault, make corresponding reduction measures, not only to protect the working environment of the workers, but also eliminates ammonia refrigeration the fault hidden dangers, to ensure safety in production enterprises to provide a strong protection, but also for other large unit maintenance to provide certain reference significance.
Fig.1 Schematic diagram of unit of measurement points To collect the primitive data and the noise spectrum, and make the unit test the machine within the distance of 1 and 0 meters under the condition of full load operation, measuring many average pressure values of [4], as shown in table 1.
Table 1 The measurement noise data Distance measurement Measurement noise value [db] 1 2 3 4 5 6 7 8 1 m 101 107 102 102 102 101 109 107 0 m 105 109 103 104 104 104 111 117 Table 1 shows that the noise value of measuring points of 2, 7, 8 are larger, which means that the compressor around greater noise and vibration are relatively big, and motor noise around the smaller.
Vibration analysis By measuring data, it is shown that the vibration intensity around the bearing on the points of 3, 4, 5 were all more than 10[mm/s], and the remaining points a re not more than 4[mm/s], the vibration of the primary sources from compressor.

Therefore, speckle noise reduction plays a major role in InSAR processing by using interferogram filtering.
Introduction InSAR technique is a powerful tool to generate Digital Elevation Model (DEM) of the target area, using phase information extracted by conventional SAR image data as the input.
Conclusion This paper implemented and compared Goldstein filter, rotating kernel transformation and Lee filter for interferogram SAR noise reduction.
In general, the effect of noise reduction is better when the algorithm is more complicated led to larger computational complexity.
However, more experiments need to be developed for testing repetition times, in order to acquire optimized balance between lower computation and better noise reduction effect.

Initially, the owners of data maintain message authentication codes for data files being outsourced and thus the owners of the data can verify the integrity of the data through recalculation of the message authentication code of the data file received.
The algorithms for data insertion and manipulation insert and manipulate data efficiently.
The confidentiality of data is based on the hiding of sensitive data and information.
Data integrity must ensure that data is not subject to damage, modification or deletion.
Users should also access data and the cloud should meet the data capacity.

The entropy of the attribute is bigger; the uncertainty is bigger, and more conducive to data classification, conversely, entropy smaller, less effect on data classification.
Experimental results and analysis In order to verify the effectiveness of this algorithm used the iris data set and wine data to simulate.
The iris data set has 4 attributes, 3 categories and 150 samples.
The wine data set has 13 attributes, 3 categories and 178 categories.
Choose 100 samples as training samples from the above two data sets separately, and the others as test samples.