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Fig. 3 Data acquired with the laser stripe sensor (left), result of the crack inspection (right) In both digitalization steps the acquired surface data has to be transformed into a common workpiece coordinate frame.
Fig. 6 Steps to compute the robot path based on digitalization data Crack Identification.
After removing false positives, the remaining data can be used for path computation as detailed in the following section.
All robot paths and all digitalized data are relative to that work piece coordinate system.
Since all data is described in the same (work piece-dependent) coordinate system, the programed repair path points can be compared directly to the digitalized data, without the need to transform the data first.

Building energy saving is one of the most important areas in energy saving and emission reduction, but it needs more funds and technology to achieve the target of building energy saving.
In addition, although the total amount of building energy-savings and emission reductions is large, reductions of individual project is small.
Certified Emission Reductions (CERs) is also small.
On the other hand, the emission reductions should be quantifiable, but some difficulties associated with monitoring and verification exists in building energy saving CDM projects.
Determine the data gathering and monitoring methods of building energy consumption. 4) Intensify propaganda to push the building energy efficiency transactions carrying out smoothly.

Based on the experimental data, the micro-upsetting process is simulated using the proposed friction model.
The effect of reduction amount.
The amount of reduction is one of the influence factors on the friction behavior in forming process.
The larger amount of reduction means the higher normal pressure on the contact surface.
Fig.1 Relationship between Friction coefficient μ and reduction ΔH/H with specimen sizes Fig.2 Relationship between friction coefficient μ and specimen diameter D with reductions 5.

The reduction of 1,2-trans-diphenylethene is carried out at low temperature (~80°C) and atmospheric hydrogen pressure.
They prepared Ni/Al2O3 by reduction of NiO under steady stream of [H2Al(OtBu)]2 in cold wall MOCVD reactor [12].
XRD data were collected on XPert-MPD diffractometer of Phillips using Cu Kα radiation (λ = 1.5406 Å) operating at 40 kV and 40 mA.
The reduction was carried out for approximately 10-15 (short time) and 25-30 minutes (long time).
Once the reduction of Ni+2 to Ni0 is completed, the excess precursor will decompose according to its natural way.

Saturated headway data of nine signalized intersections were observed by video method.
The data of pedetrian’s crossing speed were collected according to pedestrian’s gender and age, which were listed in table 5 and table 6.
Pedestrian’s crossing speed data was observed according to diffrent gender and they were shown as table 5.
Table 5 Pedestrian’s crossing speed data according to different gender Gender Male Femal Average speed Normal pavement(m/s) 1.41 1.36 1.39 Snowy pavement(m/s) 1.16 1.10 1.13 Reduction (%) -17.7 -19.1 -18.4 Icy pavement(m/s) 1.05 1.01 1.03 Reduction (%) -24.1 -25.0 -25.9 Pedestrians of Different Age.
Pedestrian’s crossing speed data was observed according to diffrent age and they were shown as table 6.

The methodology and a RWH tank system was evaluated applying the daily rainfall data obtained in two met-stations of Blindern in Oslo and Rygge in Fredrikstad, South Norway.
Results show that, using different tank sizes, the system can achieve 26.5%-100% runoff volume and a 15%-100% peak flow reductions.
All these scenarios cover a 30-years period and for each scenario and rainfall data are available with daily resolution.
The methodology was applied to daily rainfall data recorded in cities of Oslo and Fredrikstad, Norway.
Kreutzer, Pilot project- Can damage data from insurance company be used by municipalities for climate prevention?

China azdx.jn@163.com Keywords: Network Intrusion Detection, Data mining, Fuzzy C-Means, Rough sets.
IDSs are also categorized into network-based and host-based in terms of source of data.
Rough set theory does not require any prior or additional information about the data and provides a systematic method capable of searching and identifying the relationships within the data features of a relational database.
Experiments and Analysis Experimental Design. 1．Preprocessing (Clean data and handle missing and incomplete data). 2．Feature selection methods based on Rough set theory (Feature selection with GFSA and CFSA). 3．Cluster group of data by using Fuzzy C-Means.
Data normalization. 4.

To enhance the forming quality of pneumatic bulging for abnormity thin-wall pot and reduce such forming defects as severe wall thickness reduction and fold breaks.
Changing the friction factor μ respectively, the semi-finished materials have pasted the mould completely, and the simulation result data is obtained.
The chart shows that when pot wall thickness increases, the maximum reduction rate, the maximum stress value and the axial contraction all reduce.
Changing bulging pressure p respectively, the simulation result data is obtained as shown in Figure 5.
Fig.7 Fig.8 Fig.9 Fig.7 Experimental Test Specimen before and after Forming Fig.8 The Chart of the Cut Experimental Test Specimen Fig.9 Thickness Distribution Map of Simulation Test Specimen Taking 3 cut test specimen, and comparing the measured values of the pot wall thickness and the simulation data, the biggest error is smaller than 10%, the numerical simulation result coincides the test result well, which proves the feasibility of numerical simulation.

Reduction of NO by CO.
The data show lower level of CO oxidation on the rich side of the mixture.
Data are not available to show the real ability of this catalyst system in automotive application.
From the chemical simulation, the chemical kinetics mechanism of the catalytic converter’s catalyst system is modelled and subsequent NO and CO conversion data had been obtained.
NO and CO conversion data against different air to fuel ratio show that rich mixture favours NO reduction but limits CO oxidation.

Reduce the degree of direct reduction.
It provides enough high-quality reducing gas and enhances the indirect reduction degree of iron ore.
The technology has been applied for a long time in the Russian RPA Toulachermet 2# BF (furnace capacity is 1033m3), the Production data showed that compared with the conventional operations, the coke rate of this approach decreased by 28.5%, while 27.3% yield, carbon utilization increased from 37% to 67%, while the CO2 output is significantly reduced.
If coupled with the fixed CO2, emission reductions can reach 86%.
According to the agreement, China is a developing country, only undertake CO2 emission reduction requirements after 2012.