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Studying the Possibility of Obtaining Titanium Powder of Various Sizes by Alumino-Thermic Reduction L.I.
In the reduction process granules of titanium powder and corundum were obtained.
The temperature was register using the NI USB-TC01 Thermocouple Measurement Device from National Instruments and firmware Temperature Logger, all data from the device was output to a computer.
In the Table 1 shows data on the change in powder weight after alkaline treatment.
The best aluminothermic reduction results were obtained during the reduction of sandy and floury rutile with aluminum shavings, i.e. samples №1 and №3 of the charge combination.

To make up for a lack of past studies, based on the autoptical data in Dali river, a tributary river that has the most dams and reservoirs in He-Long region, analysis and studies were carried out on sediment reduction effects by soil retaining dams with different allocation proportion in this paper.
Sediment reduction by different types of dams is given in Table 1 [9].
In August 1994, the sediment transport was 100 million ton annually because of heavy rainstorm, on August 10, 1994, the daily sediment transport was 33.8 million ton, the annual sediment transport modulus is 25700t/km2; the annual flood sediment transport would be 118.7 million ton by restoring sediment reduction with slope surface measures, accounting for 48.1% and 57.1% of the annual sediment transport of 208 million ton by Wuding river that year, being the maximum value in the observed data series.
The maximum sediment reduction capability (sediment reduction capability) of different types of soil retaining dams correlates closely with flood season rainfall.
Within the sediment reduction capability of soil retaining dam, the sediment reduction increase with more rainfall and more incoming sediment in the flood season, having the feature of “the more incoming sediment is, the more sediment reduction will be”.

The kinetics showed the AO7 reduction rate can be greatly improved by the addition of sulfate and RF, thus it is possible to speed up the start-up of AO7 reduction system under appropriate condition.
For this reason, oxidation following reduction of the –N=N– is favored for the degradation of azo dye, with reduction being the rate-limiting step of the overall process.
The balance between AO7 and SA (data not shown) indicating that the reduction plays a major role in the AO7 decolourising process.
Data shown in Fig. 2 indicated that the absence and presence of RF made no big difference, while the existence of sulfate can greatly influence the variation of the electron donor.
The kinetics of AO7 reduction.

The texture of the secondary recrystallized sample under 97.2% cold rolling reduction rate condition consists of {110}<112> orientation, which is quite different from Goss ({110}<001>) orientation obtained under lower cold rolling reduction rate conditions.
There are some experimental data demonstrating that these grain boundaries have high energy (HE) [3].
In order to change a primary recrystallized texture, it is effective to control cold rolling reduction rate.
The orientations after secondary recrystallization were measured by the back Laue reflection method, and its ODF was calculated from the secondary recrystallized orientation data using the series expansion method.
The sample under the 92.6% cold rolling reduction rate condition has highly oriented Goss texture.

Some data about TPA-80, including 8-cage continuous and 24-cage reduction mills, have been published earlier [13].
Statistical Data Processing To improve the technological rolling modes to reduce the thick ends length, further analysis and processing of factual data on the pipes wall thickness ends was performed.
Thick ends sizes after reduction mill were defined based on factual data.
The shape and size of thinned ends were determined from factual data.
Bibliographic data: 2003-03-04

It provides basis and reference for the optimization of drag reduction for the vans.
The pressure and velocity analysis Body surface pressure is an important data to characterize the performance of the car.
Taking the van without a dome as a comparative object, by analyzing the data of the measured wind resistance, the changes of wind resistance before and after the installation of different types of domes may come to a conclusion.
To minimize the test error of wind resistance on van model, for the same model, continuous test three times to take the average, and take it as the data of wind resistance this type of van model suffers.
When the wind speed is 40m/s, the maximum drag reduction rate reaches to 16.9737%.

Stability criterion The shear strength indexes are c and φ, Fk is the strength reduction factor.
Based on such a criterion for evaluating the instability, it is convenient to compare the calculated displacement with infield-measured data, which is helpful to monitor the development of safety of the slope and make engineering judgment based on in field measured displacement data.
At each load step, the calculated data could be output as required, such as the deformed mesh, displacement and stress of elements and nodes, stress and deformation contour map.
“Slope Stability Analysis by Strength Reduction”.
“Slope Stability Analysis by Strength Reduction”.

The model fitted quite well with the collected data, suggesting that the model was applicable.
So it is greatly necessary to develop new technologies for the reduction and disposal of waste sludge.
Data processing and model evaluation Nonlinear fitting analysis and significance test were done using SPSS17.0, Origin 7.0 and 1st Opt software.
Fig.3 The uptake and release curve for TOC: a, the uptake curve; b, the release curve Fig.4 The uptake and release curve for TN: a, the uptake curve; b, the release curve Fig.5 The uptake and release curve for TP: a, the uptake curve; b, the release curve Non-linear fitting method and related equations (3) and (4) were applied to the experimental data.
Based on data given above, the specific release rate of pollutants by Tubificidae in dry weight could be calculated.

These methods deal with the whole data set rather than selected some samples randomly and aim to dig correlation among data rather than causality, thus they can be believed taking philosophy of big data analytics.
Big data analytics not only emphasis the huge volume of data but also imply that the collected data set covers almost the whole population.
On the other hand, big data analytics abandon the exact formulation of causality and forecasting with the correlation among data.
Big data analytics employ different philosophy with methods of the existing data mining to deal with data and has been applied to many areas successfully.
The huge volume and complexity of collected data from thermal power units strongly motivate us to mine them by employing idea of big data analytics.

Introduction Air pollutant emission reduction effect is an important indicator for the evaluation of port enterprise, national and regional energy saving and emission reduction effectiveness.
Although Eq.1 is relatively simpler, there isstill a considerable amount of work needed not only having to investigate fuel or energy consumption of all national container port,but also to statistic and analyze the data.
Hi,j,k=l=0l(TEFi,l×Tj,k×10-4) (2) In Eq.2, Hi,j,k: same as formula-1; TEFi,l: the ithair pollutant’s emission factor per unit throughput of lthcontainer terminal handling facility(t/ TEU), estimated by fuel consumption method (Eq.1) using the actual investigation data of throughput, fuel or energy consumption in representative container terminal; Tj,k: the throughputamount of jth port’s container terminal in kth year (TEU/a).
Fig. 2 Container port throughput in 2012 and highway distributing minimum mileage Fig.3 Air pollutant emissions in 2013 from port handling and highway distributing In the calculation above mentioned, the state published data of coastal and inland river port throughput and unit energy consumption, container throughput, heavy truck and ordinary truck unit mileage energy consumption in 2013 [24], and container handling facilities energy consumption of unit throughput (coastal and inland river port in the same) estimated by this research investigation are used, respectively, into Eq.4 and Eq.5.
Evaluation of air pollutant emission reduction.According to the published data of coastal and inland river port cargo throughput and container throughput from 2001 to 2013, this research has obtained the non containerized cargo throughput of port, and the classification of statistics formula predicting throughput (Fig.5 to Fig.6(left)), in which the correlation coefficients range from 0.971 to 0.998.