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The main idea is to interpret the original data in the most variables with fewer variables.
The principal components can be used to explain the comprehensive index of original data.
The data of gradation plan and asphalt-aggregate ratio in the experiments is shown in table 1.
In this research, the deviation normalization method will be used to normalize the data, according to Eq.1.
Principal components analysis of protein structure ensembles calculated using NMR data.

Weight and time/temperature data were recorded, yielding the weight loss (TG) and differential weight loss (DTG) curves.
Weight and time/temperature data were recorded using TGA software, yielding the weight loss (TG) and differential weight loss (DTG) curves.
The data on the first 30 min of reaction were not processed, so the mass variations due to water loss were not considered.
Kissinger- Akahira-Sunose (K–A–S) and (7) Friedman, respectively, for the DTG data of the malt waste.
The data used in the regressions correspond to conversions of 15, 20, 30, 40, 50 and 65 %.

A review of data about positron annihilation lifetime in normal alkanes is presented.
As an example of typical o-Ps lifetime dependence on temperature and pressure the data for nonadecane C19 are shown in Fig.1 [4].
The data marked by circles were collected by increasing the temperature in 1 K steps (1 h per spectrum).
It is seen that both, lifetime and intensity, reach the values expected from extrapolation of the data for the rotator phase.
The effect of transition to the rigid phase is seen as a reduction of count number.

Based on the observed electrical characteristics, a subcircuit SPICE model for the experimental devices is proposed and validated against the data.
Method Using experimental data from prototype 3kV diodes fabricated at GE Global Research [1,2], we have formulated a SPICE model which accurately represents the static and dynamic behavior of these CB-diodes.
Unlike the SPICE diode with its smoothly decreasing capacitance, the CB diode exhibits successive reductions in capacitance as reverse bias is increased.
Using LTSpice’s built in table characteristics, this capacitor can be built from experimental data using a piecewise linear table.
Figure 10: CB diode reverse-bias capacitance-voltage characteristics forward recovery Conclusion Using experimental and device-level simulation data for CB diodes, we have formulated a preliminary SPICE model.

Introduction The achievements of ICA in the separation of speech signals, biomedical signal processing, financial data analysis, image denoising and the application of face recognition, are described in the literatur [2]-[4].
ICA of Mixed Vibration Signal For the array signals, the number of Signals are often more than the number of array elements.Therefore, the first thing is dimension reduction with the process of signal whitening.

According to the equal circuit of solar battery to establish simulation model, then collecting data of adjusting the size of the load resistance, When the Light changing, Fig. 2 is the curve of solar battery’s characteristic.
On the Constant temperature from the curve we know the Open circuit voltage with light from the reduction of decline, on the contrary the Short-circuit current and Maximum output power rise.

In view of the fact that most extensions are built on top of objects which are in use during the construction process the speed of construction process and reduction of negative impact upon the users of the building are fundamental requirement.
According to data from Passive House Center three quarters of passive and low-energy houses built in Czech are built as wooden houses.

Experience shows that the increase of Kn and reduction of τ n will make the system oscillation aggravate.
The two sets of data in the transfer machine can illustrate its feasibility.

System development life cycle and basic risk Phase Basic risk Feasibility Misunderstanding of nature, chance or technology as well as the profit and cost of the problem itself Analysis The lack of understanding to the details of solution researching the problem and opportunity Design Misinterpretation the plan drafted in the analysis phase, or wrongly, partly understanding question about information system design Implement Incomplete or uncompetitive work, or continuing errors happened in the analysis and design phase, inappropriate development tools or using these tools insufficiently Testing Inadequate test data, order or test plan Delivery Preparing for new system insufficiently The main risk level or type can cause different results in Table 1, which may be listed the results of risk in Table 2.
Buy/Promise Information system isolate Short of strategy of business objective Attend Business change Related losses Avoid changes Contingency planning Development Risk Assess and plan Violence and distrust Skill of project management Project management Staffs turnover Study and delay Staffs satisfaction Staff management Development tools Redo Budget and research Substitute Organization Risk Technical competence Quality reduction Human resources plan Outsourcing, recruit, train Technical platform Instability Technical perspective Match Technical life cycle Business advantage weaken Institutional infrastructure Delay and research Orders of information system risk management Information system risk management is a challenging work, because it requires preparing adequately in organization.

TG-DTA data of TEOS and photoresist mix.
[8] Yao-Yu Cao, Nobuyuki Takemasu, Takuo Tanaka, “3D Metallic Nanostructure fabrication by surfactant-Assisted Multipoton-Induced Reduction”, small 2009, 5, no. 10, 1144-1148.