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When a line was drown though data of steel C4 with ky1 of 300 MPa・μm-1/2 , σ01 became to be 115MPa.
When a line was drown though data of steel C16, C22 and C45 with ky2 of 600 MPa・μm-1/2, σ02 became to be 125 MPa.
To obtain the data of ky in the case of 210℃ aging, Wilson’s data was converted by Hundy10) as shown in Fig.7. ky was saturated to 600 MPa・μm-1/2 when aging time was 360s at 210℃.
Data of C22 aged was on Line (4), ky4 of steel aged was higher than that temper-rolled.
Data of steel C4 of C16 aged were on the line with temper-rolling.

The diffraction peaks at 2ϴ = 38.6, 44.8, 65.1, 78, 82.1, 98.6 respectively correspond to (111), (200), (220), (311), (222), and (400) planes of face center cubic aluminum as confirmed by JCPDS X-ray powder file data.
The data for the lifetime spectra was analyzed by using the PALS fit computer program [10, 11].
Fig. 3 shows the mean lifetime (t) as a function of thickness reduction reveal that the lifetime increases with increasing degree of thickness reduction up to 15.30 %.
Fig. 3: The mean lifetime as a function of thickness reduction of 8006 Al-alloy. 3.
Fig. 4: Vickers hardness variation of 8006 Al-alloy as a function of thickness reduction.

Colleges have various opportunities to reduce climate change and greenhouse gas reduction efforts of the central government and local government units in various academic fields and among college stakeholders such as teaching staff, school personnel, and students.
Middlebury College is a representative college that is implementing inventory-based greenhouse gas reduction.
The operations cost of the 26 shuttle buses was estimated as 336 million won. [4] Suggestions for Coping with Climate Change in Korean Colleges Greenhouse gas reduction goal-setting and implementation should be spread from the subject college to the community and other colleges.
These trials are still in their early stage, however, with insufficient data and significant limitations.
Despite such limitations, this study supports the greenhouse gas reduction efforts of the central government and local government units.

This work mainly focuses on reducing WIP (Work in process) inventory and production lead time reduction.
Michel Baudin (1918) introduced a step-by-step procedure to perform a VSM analysis in a conventional way.In the modern VSM, the first step consists in the selection of a product family as the target for the improvement and in the construction of the Current State Map (CSM) for the selected product value stream.The CSM must be based on a set of data collected directly on the shop floor and is drawn using the set of standard icons.
Since the VSM has the unique feature of recording information flows associated with materials flows in the same map, the following data was collected
· Oral information conveyed · Production Flow: Type of flow between machines (push-pull) · Machines: o Set-up time o Cycle time o Number of operators o Number of shifts/hours per day After collection of all data, the CSM was constructed using the VSM standard icons.Current state map is utilized to plot different NVA actions present in the system and is shown in Fig. 1.
Fig. 1 Current state map After compiling the data in the form of a map, the process ratio was calculated .The process ratio is the ratio of VA time to the overall production lead time is the sum of the VA time and NVA time.

As shown in Figure 3, X-ray diffraction (XRD) data suggests that such mixed CeO2-ZrO2 oxides are solid solution, rather than composed of a mixture of CeO2 and ZrO2.
Since the peak widths are related to the crystalline size (without considering the strain effects) this data suggests that Ce0.5Zr0.5O2 solid solution has a smaller crystalline size than that of pure ceria, and the Ce0.5Zr0.5O2 sample prepared at 50 oC has a smaller crystalline szie compared with the sample prepared at 150 oC.
Their results are also in qualitative agreement with specific area data, where a maximum is obtained for the Zr0.5Ce0.5O2 sample [17-18].
This suggests that reduction of the bulk lattice oxygen must occur simultaneously with the reduction of surface oxygen.
Analysis of Ce M4,5 white line intensity ratio, obtained from EELS data indicates that the particles in raw materials is in +4 oxidation state and after reduction treatments the particles show a mixed +3/+4 oxidation states, showin in Figure 6.

Data acquired from this sensor are compared with data received from the position sensor of the drive.
CompactRIO collects and process measured data from both sensors.
By this approach the collected data are evaluated synchronously.
FPGA part of cRIO allows the evaluation of the data with high sampling rates.
Measured data are evaluated in accordance with standard ČSN ISO 230 – 2.

In this paper, the method of wavelet domain adaptive filtering was used to de-noise NMR echo data.
The effectiveness of the wavelet domain adaptive filtering in the de-noising of NMR data was demonstrated.
Many scholars at home and abroad have discussed NMR data de-noising based on wavelet transform [1-3].
The wavelet domain adaptive filtering method, however, has not been used in NMR echo data processing.
Noise was added into the echo data after forward transformation to reduce the SNR to 10.

Barrier height (ΦB) lowering by ~ 0.1 eV was observed at the MS interface as deposited which could have assisted in the reduction of the SCR.
In this study, a conductive Indium Tin Oxide (ITO) was proposed and employed to facilitate the reduction of carbon during post metal deposition annealing (PMDA).
In Fig. 2 (a-b), I-V measurements on the SBD samples indicate a reduction in barrier height (ΦB) by ~ 0.1 eV with the incorporation of an ITO interlayer as deposited.
This was achieved through the reduction of ΦB as deposited.
Hannan et al., “The Effect of Nitrogen Plasma Treatment Process on Ohmic Contact Formation to N-Type 4H-SiC,” Diffusion and defect data, solid state data.

Tab.1 is the XPS data of the as-milled Cu-Mo-C powder.
Table 1 XPS data of Cu-Mo-C alloyed powder Sample Peak Center/ev At.% Cu-Mo-CG C1s 285.15 68.58 Cu2p3 933.55 2.63 Mo3d5 232.65 10.93 O1s 531 17.87 Cu-Mo-CA C1s 285.55 66.95 Cu2p3 935.5 4.39 Mo3d5 233.7 2.92 O1s 532.2 25.73 The binding energy of elements varies in different chemical conditions.
The binding energy data of C1s, Cu2p3, Mo3d5 and O12 are listed in Tab.1.
The binding energy center of MoA is 233.7ev, which is coincident with MoO3; and the binding energy center of MoG is 232.65ev, which is between the binding energy data of Mo in MoO2 and MoO3.
It could be inferred that reduction reactions occurred in this period.

During the static calibration a defined increasing force was applied to the measurement device while recording the output data.
This configuration represents the limitations of the utilized data acquisition device.
Fig. 9 depicts a comparison of the force progressions obtained via simulation and the data acquired in the different experimental setups.
Thus, the results originating from the simulation cannot yet be directly compared with experimental data.
Figure 9: Comparison of simulation results with experimental data.