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This article proposes a method for incrementally changing the cutting data in order to minimize the manufacturing cost.
However, companies with a large part machining time will have the most to gain in terms of reduction in manufacturing cost.
The data obtained when using the Incremental Production Improvement method could be used to model the tool life.
During this case the cutting data was varied according to Table 2.
The index 0 denotes for the original cutting data and index i denotes the cutting data for the current machining case.

Automatic Vehicle Classification (AVC) detector, among traffic data collection devices, is very useful but operation failure or damage is often occurred due to unstable power supply, weather changes and poor road pavement condition, causing deteriorated data quality.
Thus, to stabilize the power supply and reduce the failure by environmental change, improvement of the control part and enclosure was made and the cost was reduced by simplifying the sensor and control system and as a result of test, data accuracy, power stability and cost reduction could be achieve, proving high potential applicability to the site in the future.
AVC detector, among traffic data collection devices, is very useful but operation failure or damage is often occurred due to unstable power supply, weather changes and poor road pavement condition, causing deteriorated data quality.
Besides disconnection of power system, unstable power supply causes temporary operation failure such as lock which results in ineffective traffic data collection.
Thus, to stabilize the power supply and reduce the failure by environmental change, improvement of the control part and enclosure was made and the cost was reduced by simplifying the sensor and control system and as a result of test, data accuracy, power stability and cost reduction could be achieve, proving high potential applicability to the site in the future.

Furthermore, the data was analyzed by matching the sample data of the diffraction pattern graph with the database on the sample.
The database obtained data in the form of crystal structures and lattice parameters.
Through XRD diffractogram, data obtained can be used to determine the crystal size through the value of full width at half maximum (FWHM).
Percentage of conformity of XRD data refienement of Ag/SiO2.
Element Content (%) Atom (%) C 29.77 40.33 O 44.23 44.98 Na 0.41 0.29 Si 24.58 14.24 Ag 1.01 0.15 Additional information obtained from the analysis with SEM is EDX data, which shows the elements present in the sample and the sample’s composition based on these elements.

The node for energy saving and monitoring is a wireless sensor actually, which plays the role as collecting data and controlling.
This node converge the data of the WSN, and transfers the data to the server of the platform for energy saving and monitoring.
The interaction and monitoring system for energy saving inside the building collects energy utilization parameters and operation status information, makes processing, analysis, storage in allusion to the relevant parameters, at the same time generates data curves with the parameters after processing, and then stores the data curves.
The manager of the building can read the data or data curves of the energy consumption system or equipment through the background software.
After analysis over the data or data curves, exploring the energy saving potential of building, find out the link or time period in which the energy saving can implement.

Meanwhile, Anhui province is relatively backward in the energy-saving and emission reduction process, carbon emissions growth and energy consumption growth did not achieve effective decoupling, which reflects that this province still has some defects in the adjustment of energy structure, energy saving and emission reduction technology promotion policy etc..
Methodology and Data Sources Measurementof carbon emissions.In this paper, we use the algorithm in model ofcarbon emissionsdecompositionproposed andimproved byXuGuoquanet al[4]: WhereTCEirepresentsi kind of energyconsumption, TCEmeansthe total energy consumption,Ciexpressescarbon emissions of energy class i, Si showsthe proportion ofikindof energyin thetotal energy consumption; Fi represents the carbonemission factor of energyclass i.
this paper, data include GDP, total primary energy consumption and coal, washed coal, coke and crude oil and other 8 kinds of energy consumption of each.
Since the lag betweeneconomic growth and changes in energy consumption exists in analysis of decoupling on time scales, we use lots of relevant data of "Anhui Statistical Yearbook" for analysisin order to ensure the integrity and comparability ofdata, the sample range is 1997-2011.
Fourth is to strengthen macro-control of emission reduction policies.Encourage enterprises to carry out energy conservation projectsby using tax and other fiscal measures.

Traditional studies often use statistical analysis to process monitoring data.
These analysis methods can provide more intuitive information support for air pollutant data management, dispersion modeling and spatial distribution analysis.
Study area and data processing methods Yantai city, locating on the east tip of Shandong Peninsular (36°16′-38°23N, 119°34′-121°67′E) , bordering on the Yellow Sea and the Bohai Bay, lies to Japan and Korea across the sea.
The monitoring data is collected by Model 43 pulsed-fluorescent SO2 analyzer that includes daily data of SO2 from 2008 to 2010.
And the geospatial analysis methods provided intuitive information support for air pollutant data management, dispersion modeling and spatial distribution analysis[[] Pulugurtha S S, James D.

Mineral oil NH3 Gel AlOOH-Si Oil drop process Mineral oil NH3 Gel AlOOH-Si Gel AlOOH-Si Oil drop process ODAl2O3Si Calcination at 1200°C (5h) MFAl2O3Si PAl2O3Si OD3(i+i+i)rPt MF3(i+i+i)rPt P5(i+i)rPt 3 successive impregnations and final reduction 2 successive impregnations and final reduction impregnation and reduction *3 H2PtCl6 MF3irPt ODAl2O3Si Calcination at 1200°C (5h) MFAl2O3Si PAl2O3Si OD3(i+i+i)rPt MF3(i+i+i)rPt P5(i+i)rPt 3 successive impregnations and final reduction 2 successive impregnations and final reduction impregnation and reduction *3 H2PtCl6 MF3irPt H2PtCl6 H2PtCl6 Mineral oil NH3 Gel AlOOH-Si Oil drop process Mineral oil NH3 Gel AlOOH-Si Gel AlOOH-Si Oil drop process ODAl2O3Si Calcination at 1200°C (5h) MFAl2O3Si PAl2O3Si OD3(i+i+i)rPt MF3(i+i+i)rPt P5(i+i)rPt 3 successive impregnations and final reduction 2 successive impregnations and final reduction impregnation and reduction *3 H2PtCl6 MF3irPt
ODAl2O3Si Calcination at 1200°C (5h) MFAl2O3Si PAl2O3Si OD3(i+i+i)rPt MF3(i+i+i)rPt P5(i+i)rPt 3 successive impregnations and final reduction 2 successive impregnations and final reduction impregnation and reduction *3 H2PtCl6 MF3irPt H2PtCl6 H2PtCl6 Figure 1.
The introduction of platinum does not change the structural data and the thermal stability.
These average data are much higher than the values obtained from XRD, leading to the suspicious single crystal character of the largest particles. 4 30 40 50 60 70 80 δδδδ θθθθ θθθθ θθθθ θθθθ θθθθ δδδδ δδδδ δδδδ θθθθ δδδδ θθθθ θθθθ OD Al2O3Si MF Al2O3Si P Al2O3Si 2 theta / ° 30 40 50 60 70 80 Pt Pt Pt OD 3(i+i+i)rPt MF 3*(ir)Pt MF 3(i+i+i)rPt P 5(i+i)rPt 2 theta / ° Pt Figure 2.
Other data of interest is the pressure increases during the reaction which is linked to the efficiency of the catalyst.

Such evaluation should be performed in the following way: determination of objectives, establishment of an index system, and building of an evaluation model, collection & reduction of data, implementation of technical & economic evaluation, and analysis & test of results[2].
Economic evaluation index system for ECER in IFP-LCE Evaluation index Level 1 Level 2 Level 3 Input index Costs for construction funds R&D; Hardware; Software; Maps; Installation Costs for operation & maintenance Workers' wages; Equipment maintenance; Data collection; Map updating Costs for user equipment Handheld device Output index Time saving benefits Goods on-route time saving; Travelers' travel time saving; Energy saving benefit Oil saving benefit Emission reduction benefits NOx, HC and CO (toxic gas) emission reduction; CO2 (greenhouse gas) emission reduction Evaluation model and Input cost calculation The object of “with/without” is the project to be evaluated[4].
Cbt=i=1nQi (2) where Cbt -- the total input costs for operation & maintenance in the t-th year; in Yuan; Qi --the n-th type of costs among employees' wages, data collection costs, and equipment updating costs, which are needed to stabilize the operation of the project; in Yuan.
Greenhouse gas reduction benefits.
Therefore, in practice, carbon emission output benefits are calculated on basis of CO2 reduction.

The details of scenarios reduction technique can refer to [6].
According to the data of load demand and forecasted wind power in Table I, the ESS is assumed to perform the charge operation during 1-8h, and perform discharge operation during 9-24h.
The peak load shaving and the operating cost reduction can be achieved by incorporating ESS.
According to Table II, increases up to 350MWh as well as increases up to 150MW, the other data keep stable.
Yokoyama, “An interior point nonlinear programming for optimal power flow problems with a novel data structure,” IEEE Transaction on Power System, Vol. 13, No. 3, pp. 870-877, Aug. 1998

It can be realized mainly by development in such directions as extending shares on the market, cost reduction, introducing more effective methods of production and risk management.
The most important advantages of FMEA are [8]: 1) reduction of costs being a result of defects, 2) lower prices of products, 3) increase of the effectiveness of production, 4) reduction of costs of production, 5) reliability of products, 6) reliability of processes, 7) increase of the level of customer’s satisfaction, 8) creating process documentation.
A schema presenting FMEA as an element of a Quality Management System [2] The input data to FMEA come from such tools as Pareto analysis and/or control cards that provide information about a process while its results serve as input data for activities aimed at improvement of a process.
An important factor that determines success of the analysis is ensuring the team a fast access to any necessary data, such as internal analyses of quality, market and service research or reclamations.
However, the approach consulting all 3 kinds of customers seems to be the most justified and can generate the biggest benefits for the company such as reduction of defects, elimination of factors that may cause damage of machines, elimination of shutdowns and delay, and consequently reduction of costs.