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R2 denotes the fitting degree of the fitting formula with the FEM data.
There are 110 data sets with K>1, and the maximum result is K=1.027.
There are 140 sets of data with K<1, and the minimum result is K=0.966.
The fluctuation amplitude of the first 150 groups of data is larger, while the fluctuation amplitude of the last 100 groups of data is tiny.
Therefore, the fitting formula calculates ideal data, and both are less than 0, indicating that the corresponding pressure ratio data is more aggressive.

The method consists in the determination of several sub-profiles obtained by the segmentation of the acquired profile data set .
For the purpose the data are structured in the following matrix:
The data of representative peaks can be used to evaluate MR as a function of working time: it is obtained by subtracting the peak area at a generic working time from the original peak area.
BF presents a behaviour characterized by constant scattering of MR with a progressively reduction of removal speed, except for the first stage.
In this experimental the reduction in heigth has been about 20% corresponding to a 5% section reduction, which is negligible.

Also, reduction of capital and operating costs as a result of the reduction of number of equipment units of the plant [18, 21-23] is another benefit of the process.
The simulator allows a wide range of tasks such as estimating and regressing physical properties, generating custom graphical and tabular output results, fitting plant data to simulation models, optimizing processes, and interfacing results to spreadsheets to be performed.
It offers a lot of benefits which include supporting full range of process industries, continuously improving chemical process designs with Activated Analysis, expanding modelling to include solids, comparing simulation and plant data in real time, extending functionality with layered applications, and using highest fidelity engineering platform [5].
Some published experimental data on phase equilibrium and reaction studies were used to verify the model predictions, and the results were found to be close to each other.
As can be seen from the figure, the process portrayed a uniform reduction in mole fraction when the reboiler duty was less than 1450 W.

These findings lead to a discussion on the potential of indoor air temperature reduction by applying green roof.
Grace Tiberio Cardoso, Francisco Vecchia (2013)[11] Experimental study by installing thermocouples to collect surface temperatures and indoor air, comparing them with existing prototypes in an experimental plot Green roofs applied to warm and dry climates provide an interesting time lag with surface and internal air temperature reduction.
These findings lead to a discussion on the potential of indoor air temperature reduction by applying green roof and cool roof.
The temperature and the relative humidity for both internal and external data were recorded at 30 minutes interval for a period of 6 days using the temperature and humidity data loggers during peak summer days.
Table 1: Calculated thermal Transmittance Values for roofs Type of roof U Value W/m2K Average Surface Temperature ̊C Heat Flow (Q) = xU Outside Inside RCC 3.09 66.5 47.5 58.71 W/m2 CR 2.44 48.2 35.6 12.6 ̊C 30.74 W/m2 GR 0.4 38.2 31.8 6.2 ̊C 2.48 W/m2 Thermal performance in the interior of buildings with and without the green roof More detailed conclusions of the impact of the green roof on the indoor thermal performance conditions have resulted from a thorough analysis of the measured data, recorded by the temperature and humidity sensors in experimented buildings, RC, CR and GR.

Furnace based oxynitride Table 2: Comparison of Plasma and Thermal Oxynitride processes ILT and HP are separated since they use different testers but the data should be directly comparable.
Data in the plot shows that when measured using a conventional spectroscopic ellipsometer the thickness data from the basic sensitivity tests lay on top of one another, i.e. tool 1 is well matched to tool 2.
Data indicates that when measured via ellipsometer the machines are well matched.
The data in both plots clearly illustrate a process tool mismatch not revealed by the conventional ellipsometer measurements alone.
Data in the image is indicative of surface roughness expressed as ppm (defined as a ratio of scattered light intensity to incident laser intensity).

This provides temperature dependent stress-strain data, which characterises the material behaviour, to be included in the FE models.
Other thermal properties in Table 1 were estimated from published data on a range of food products [7].
This high sensitivity to the test temperature results in variations between the stress-strain data derived from different tests.
Data is presented from the model for ultrasonic cutting parameters that are typical of current cutting devices.
Temperature dependent material data for toffee were derived and included in the FE model.

A Matlab® script is used to excite the PZT actuator via picoscope 2208 of Picotech®, the captured signal is acquired also by the picoscope and the data is processed in Matlab.
Data are captured only when the system reach the steady state.
Thus, an effective noise reduction scheme is implemented by a notch filter of 105 kHz of central frequency to unmask the relevant information transported by the guided wave.

The dislocation density distribution is determined from experimental data obtained by PVScan analysis from a vertical cross section slice.
Due to the lack of data in literature, we assume that the diffusivity of iron in silicon nitride coating layer is equal to DFe-SiO2.
In order to study the reduction of minority carrier lifetime by iron, we suppose that Shockley-Read-Hall recombination is the only recombination mechanism of carriers in the material.

From the technical scheme's point of view, the IOT network function used in the Smart Grid is still focused on three aspects including data acquisition, transmission, processing. ① Data acquisition tends to new business more.
The collaborative mode data transmission ②Data transmission in the model of collaboration and mutual assistance within the net.
Use the cooperation of nodes within the net as the basic way to solve the problem of data transmission.
The data obtained by clients is the integration result of numerous processed data rather than the raw data.
With the protection of IOT, the data collected will be more accurate, more reliable and more complete.

Due to the lack of historical data in the newly-developed tourist areas, selection of scenic transportation modes, determination of the size of transportation facilities and traffic management methods should be made on the basis of accurate forecast of future traffic demand.
For the newly-developed areas, due to the lack of travel survey data and historical observation data, the determination of the total amount of tourist traffic demand of the planning year usually based on the overall size of tourist attractions and the linear growth law of tourism markets.
With so many uncertainties, many of these factors data is complicated and difficult to collect, the general linear prediction methods are difficult to apply to.
Due to the data of tourist traffic demand is difficult to collect and has a certain degree of uncertainty, therefore gray models is suitable for prediction.
Compared with urban traffic demand, uncertain factors are much more obvious and the data is more difficult to collect.