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Koshimizu [6] found that a reduction in cutting forces was observed during UAT of Ti-6Al-4V.
These reductions in strain will ultimately benefits through reduction in cutting forces during UAT.
Microstructural analysis and Discussion In this section, quantitative data on chip morphology during UAT and CT is presented as shown in Fig 4.
This data was obtained from SEM and optical images of chips generated during machining using an image analyzer software.
A quantitative data on chip morphology during UAT and CT machining is tabulated as shown in Table 3.

Data will be presented from the undamaged specimens.
These methods compare the eigenvalues and eigenvectors calculated with, let's say, a finite element model with measured data.
This data are used both as reference figures and to develop a most accurate finite element model.
Obtain a reduction-expansion matrix in order to expand measured data and error vector to the size of the FEM model, in order to represent them on the model, to make a friendly interpretation of mode shapes and damage location. 2.
This data are used both as reference figures and to develop a most accurate finite element model.

As noted by the authors, in thinner epilayers the substrate accounts for a very significant reduction in the carrier lifetime, even when the SRV=0, while for thicker epilayers the reduction in lifetime is not significant until the SRV becomes large.
The data were analyzed using an analytical approximation to the solution of Fig. 3.
Dotted lines are fits to the data assuming recombination at the surface and substrate interface for varying interface recombination velocities.
The dotted curves represent the total simulated surface recombination rate that best fits the data, resulting from carrier diffusion and from recombination at the surface and at the substrate interface.
The data fits well only for small values of the substrate interface recombination velocity, consistent with the low injection conditions and very long bulk lifetimes (>20msec).

About 32% fuel consumption reduction in hybrid compared to the conventional vehicle under the actual road testing spectrum, and SOC increased about 21.6% relative to the initial state.
Structure and Parameters The structure of a conventional back-loading compression sanitation vehicle is shown in Fig. 1(a), and technical data are given in Table 1.
Fig. 1(b) shows the structure of a parallel electrical hybrid vehicle, and main components technical data are given in Table 2.
Table 1 Technical data of the conventional back-loading compression sanitation vehicle Components Parameter Diesel Engine Displacement[l] 10 Rated Power @ Speed [kW@r·min-1] 213@2300 Maximum Torque @ Speed [N·m@r·min-1] 1160@(1200~1600) Gears 1 ~ 3 Gear Ratio [/] 12.57；7.47；5.28 4 ~ 6 Gear Ratio [/] 3.82；2.79；1.95 7 ~ 9 Gear Ratio [/] 1.38；1.00；0.73 Final Drive Transmission Ratio [/] 4.3277 Wheel Radius [m] 0.546 Weight Gross Weight [kg] 26000 Curb Weight [kg] 14000 Table 2 Main components technical data of the parallel hybrid electric back-loading compression sanitation vehicle Components Parameter Diesel Engine Displacement [l] 7 Rated Power @ Speed [kW@r·min-1] 199/2300 Maximum Torque @ Speed [N·m@r·min-1] 1080/(1300~1600) Electrical Machinery Type Three Phase AC Motor Maximum Power [kW] 90 Maximum Torque [N·m] 600 Maximum Speed [r·min-1] 2500 Minimum Efficiency [%] 87.8 Energy Storage Unit Type Li-ion Battery Maximum Charge [A·h] Nominal Voltage [V] 43 320 Simulation cycle run
About 32% fuel consumption reduction in hybrid modeling compared to a conventional sanitation vehicle under the actual road testing spectrum, and SOC increased about 21.6% relative to the initial state.

In view of the current status of manual adjustment-dominated heating network adjustment, time-consuming information feedback and network balance, failure of network balance to achieve the best condition, and uneven heat and cold in a district, heat supply automation transformation technology program in this district is proposed to improve the efficiency of heating network and achieve the goal of energy conservation and emission reduction.
Basis and application standard The basis for the provided program is: The heat company in this region provides Preliminary Work of Heat Supply Network Monitoring System Research of Property Company;The heat company in this region provides Data Sheet of Heat Exchange Station, including data of current heat supply area and planned heat supply area, etc;The heat company in this region provides Heating Operation Daily Report of Property Company in Development Zone, with altogether 11 copies;The heat company in this region provides Pipe Network Floor Plan;The heat company in this region provides Heat Resource Notes;Urban Heat Supply Pipe Network Construction and Acceptance Code, CJJ28-89;Urban Heat Network Design Code, CJJ34-90;Standard for quality inspection and assessment of urban heat supply pipe network, CJJ38-90;Heating engineering terms, CJJ55-93.
According to the data analysis of Heating Operation Daily Report, it could be seen that the operating status of water pump is as follows:Water pump in heat exchange station runs according to the way of constant flow or phased change flow;Most heat exchange stations could meet the heating needs by just starting one water pump;A part of heat exchange stations turn the export valve of water pump to a small opening;A part of heat exchange stations actually have an excessive square meter flow index.
The reduction of minimum flow of pipe network or water pump to the minimum flow is determined by the unbalanced situation of secondary pipe network level.
The implementation of automatic control program reduces the unbalanced degree of pipe network level (according to the analysis of running data, the current unbalanced degree is between 15% and 20%) on the one hand, making the temperature distribution of heat supply room more even.On the other hand, when heat source exceeds users’ requests of heat for a long time, the flow reduction could lower the consumption of primary energy.

Methodology and Data Sources Carbon Emissions Decomposition Model.
Data Sources.
The original data used in the paper mainly come from Statistical Yearbook of Hubei Province (2002-2011) and Statistical Yearbook of China (2002-2011), from which data are selected, including Hubei Province’s GDP and the provincial GDP of China from 2001-2010 , industrial structure and consumption of three major fossil fuels, i.e. coal, petroleum and natural gas.
The grey relational analysis method is used to establish the grey relative correlation degree model on the basis of sequential data of Hubei Province’s GDP and CO2 emissions from 2001-2010.
The grey relational analysis method is used to establish the grey relative correlation degree model on the basis of the structural proportion of primary, secondary and tertiary industries and sequential data of CO2 emissions from 2001-2010 in Hubei Province.

Results Fig. 2 illustrates the collected data from immersed bending fatigue testing performed using the developed test rigs.
Also, the data indicates that the tested wire specimens can withstand stress amplitudes on the level of yield strength for about 100,000 (a) (b) bending guide plate specimen rb y Fig. 1.
This data is summarized in Fig. 3a.
Conclusions The data from bending fatigue tests show that fatigue life of copper alloys depends on the composition and manufacturing parameters.
However, for evaluation of fatigue performance in seawater environment, this study shows that it is important to conduct the immersed fatigue tests in order to get reliable data.

Furthermore, the magnitude of this current-induced recovery is dependent upon the injection current, as reductions in the current cause a slower, but larger overall Vf drift recovery.
While numerous samples have been studied to date, data from two samples, D14L and D30R, with a moderate and high density of BPDs, respectively, are presented.
The solid lines represent least squares fits to the data using eq. (1).
b) Temperature dependence of sat fV∆ using data collected at 25 A/cm 2 along the various IV traces (solid squares, left axis) and sat Q (half filled circles, right axis).
This implies that while the steady-state balance between SSF expansion and contraction is changed to favor increased contraction by reducing the injection current, the reduction in current also causes a reduction in the ehp recombination rate and therefore slows the SSF movement, thereby causing the increase in the time required to reach a new steady-state sat fV∆ in the current-induced recovery experiment.

Given the “garbage in, garbage out” principle, dirty data will not be able to provide data miners with correct information. [1] Data cleaning, also called data cleansing or scrubbing, deals with detecting and removing errors and inconsistencies from data in order to improve the quality of data.[2] Approximately duplicate records is one kind of the dirty data in the data warehouse.
However, large number of approximately duplicate data exist in practice, due to various reasons, such as the different stands of input agencies, the data evolution, data abbreviation and spelling mistakes.
The process is as follow: (1) Attribute reduction There are not only numerous records in Data warehouse but also numerous attributes within each record.
If data is abnormal, put the data in the core data and clustering is performed again around the data to increase the accuracy.
IEEE Data Eng.

Analysis of the data in Table 1 leads to the conclusion that the most effective technology is the technology proposed and developed by LLC "Ecoenergy" with universal ecological and energy-efficient burners, which allows solving the problem of power usage in modern coal thermal power plants [1 – 5].
Competitive advantages of the proposed technology are: ease of manufacturing; low investment; high operational reliability; full automation; possibility of using a muffle burner as the main one and simultaneously as the ignition, which drastically reduces the investment due to the lack of special works on wiring of furnace walls, complete replacement of expensive oil with coal dust, a significant reduction in emissions of nitrogen oxides into the atmosphere.
Qualitative assessment score (number of points) Universal burners (UB) ”Ecoenegy” Reduction NOx 2.5 – 3 times Refusal of fuel oil yes Increasing power capacity of units 5-8 % 2.5 – 3 5 Plasma burners 50 – 60 % Refusal of fuel oil yes no 30 – 40 3 Staged combustion NOx Reduction 1.5 – 2 times Usage of fuel oil yes no 50 – 60 1 Vortex combustion process NOx reduction 1.5 – 2 times Usage of fuel oil no Reduction of boilers efficiency because of mehanichal underburning 70 – 90 % 1 Technology "Tohil" no Reduction of fuel oil 90 % no no 5 – 6 1 Burners SibCOTES no Reduction of fuel oil 90 % no no 4 – 15 1 The introduction of universal burners will significantly improve the efficiency of coal-fired thermal power plant units through integrated solutions in coal combustion boiler units.
This mode of deep thermal preparation of coal dust flow in the volume of a burner will help to: - obtain dense gaseous fuel gasification products, which will ensure efficient operation of the combustion chamber bothat the start-up of a boiler from cold state and at low loads for lighting a torch; - obtain stabilization of combustion process; - obtain reduction of slagging surfaces by eliminating the recovery zone of fuel heat of a combustion chamber in a boiler combustion chamber volume, which will improve utilization rate of the installed capacity of boilers and increase the load to the nominal values; - obtain significant reduction information of nitrogen oxides fuel by forming reducing atmosphere in a muffle of the burner; - improve the efficiency of a boiler while reducing mechanical incomplete combustion due to better fuel burning; - use highly reactive gas coals with volatile substances more than 30 %; - involve oxidized coal in the fuel and energy balance of the country which
Analysis of the data in Table 2 shows that the technology using PGA combustion has high investment attractiveness for all technological options.