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Tumbling ball mills are a common comminution device in the mineral industry processing, wherein the particle size reduction is performed by action of the grinding media.
Experimental data showed it was not found the end-wall effects on the transitional behavior, and this effect can be assessed in numerical studies by analyze of the specularity coefficient.
A tumbling ball mill consists in a cylinder rotating around its own axis, and the particle size reduction occurs due the combination of impact and abrasion between the grinding media and the particles.
Figs. 3, 4 and 5 show the experimental data for the balls of diameters 0.020, 0.025 and 0.030 m, respectively, each one rotating in three different lengths of the tumbling mill.
Conclusions From experimental data, it was possible to study the transitional phenomena between cascading, cataracting and centrifuging motion in a tumbling ball mill.

From the kinetic data, it shows a pseudo first order kinetics with respect to PO concentration under constant CO2 pressure.
It is also a high conversion reaction, 96.0% (PO), with easier product separation, and as applied to industry for CO2 reduction process, its kinetic information would be very useful for future industrial scale reactor design.
To ensure the validity of experimental data, each experiment was repeated 3 times, and the results were averaged for further analysis.
These conversion data, derived from triplicate batch experiments, were collected and fitted using first order kinetics: -ln(1-x) = k’t, where x is the conversion, t time period and k’ is the rate constant (hr-1), obtained according to the regression line slope in the plot of the minus nature log (1-conversion) versus reaction time.
Using epoxides as reactants and media, and ionic liquids as catalyst are also feasible; as applied to industry, they would make a great contribution to CO2 reduction.

Comprehensive analysis for SEM and XRD data shows that the most favorable magnetic particle including to the diatomite pores in DM-15 and DM-30.
Increasing of content of maghemite in compositions causes reduction of the proportion of smectite and mica, which is associated with the destruction of the crystal lattice.
By giving XRD data we can conclude that the interaction would go primarily to silanol groups of kaolinite and quartz.
Comprehensive analysis for SEM and XRD data shows that the most favorable magnetic particle including to the diatomite pores in DM-15 and DM-30.
Increasing of content of maghemite in compositions causes reduction of the proportion of smectite and mica, which is associated with the destruction of the crystal lattice.

The data show a clear trend upwards in the use of the technology albeit the total use is still low.
The data was collected with the help of project managers working for owners or developers only.
Data Analysis The SCTI data collection and analysis was used to establish a benchmark of the technology use in residential and commercial building construction projects, executed in the UAE between the years 2005 and 2010.
Fig. 1: Project Types in Data Sample Fig. 2: Number of Projects per year (year represents start of construction) The data examined the total SC technology use per phase of construction, and the particular differences between the phases.
Moreover, the data show a clear trend upwards in the use of the technology albeit the total use is still low.

The Methodology and Data Production need direct inputs such as energy and raw materials, these direct inputs discharge pollutants.
The data of input and output comes from input-output tables and extended table published by Chinese input and output Association.
Chinese SO2 data of 2005, 2007 and 2010 come from the national bureau of statistics of China.
Technology effect is always negative these years, and is a main reduction factor for pollution emission.
Technical factor is the decisive factor for SO2 reduction.

Room temperature simulations of ID-VGS curves and comparisons with experimental data enable us to extract the energy dependent interface trap density of states profile for the 4H-SiC MOSFET [1].
This reduction in the occupied interface trap density causes an increase in the Coulomb mobility near the interface.
Interface trap density of states profile extracted by comparing room temperature IV simulations to experimental data.
Notice the increase in inversion charge density and reduction in occupied interface trap density with rise in temperature.
Comparison of simulated and experimentally measured IV data gives us an estimate for the interface trap density of states (Fig. 1) and for the surface roughness mobility parameters.

Discussion on Management Mode of Construction Waste in China Weixing Shao1, a, Hongyan Jiang1,b, Ziyuan Zhang1,c, Hui Wu1,d 1School of Civil Engineering, Xi’an University of Architecture &Technology, Shanxi, Xi’an, 710055, China ashaoweixing99@163.com,bggjianghy@163.com,c378919404@qq.com,d123098327@qq.com Keywords: construction waste; sustainable development; recycling; reduction Abstract.
Then based on the analysis of the present management situation of construction waste, different of management modes of construction waste are evaluated, and then the mode of reducing construction waste from its source is presented, which would performs well to realize the reduction and recycling of construction waste.
According to a rough statistics on the loss of the building construction materials ,in which the data are mainly obtained from the cast-in-situ structure and frame structure, the quantities of waste can reach 500 ~ 600 tons per 10,000 square meters during construction.

Firstly, the data with unknown or missing values from data set, such as product database, process database, fixture database and resource database etc, were processed by the rough set-based method for information complementation.
There is enough evidence shown that the adequate tool for dealing with semantically heterogeneous data is ontology [15].
A data-mining approach to improving Polycythemia Vera diagnosis[J].
Using data mining to find patterns in genetic algorithm solutions to a job shop schedule[J].
A genetic algorithm methodology for data mining and intelligent knowledge acquisition[J].

Reduction of greenhouse gases (GHG) that contribute to global climate change and to local air quality is one of the major advantages of RES utilization.
LEAP can run under Windows environment and tree structure of input data is adopted, two kinds of output types including table and figure can describe the model results and the output data can be easily selected according to the users’ demand.
The best advantage of LEAP software is that the users can easily regulate the model structure and data framework according to the project’s demand and the future tendency by using the way of ‘‘what if’’.
With the environmental data base, LEAP can assess the pollution resulting from each stage of the fuel chain, including the reduction in airborne pollutant emissions from extraction, processing, distribution, and combustion activities that might result from more efficient use of electricity or other fuels.
Moreover, the reduction of CO2 eq. emissions in year 2020 in the HPS scenario is almost 40%, compared to 2020-20 scenario.

The system uses a USB interface chip with micro-controller and the data are transmitted into computer by USB interface.
This system also allows users to query the historical data by different ways and supports printing functions.
Image Noise Reduction.
So this paper introduces the algorithm of total variation which is used for image noises reduction.
Compared with the traditional measurement methods, this scheme not only inherits the advantages of CCD imaging system, but also makes full use of computer’s powerful data processing capability.