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According, the radial composite model can be used to interpretation the pressure transient testing data with considered sulfur deposition around wellbore.
Diffusivity ratio and mobility ratio respectively defined as: （1） （2） The sulfur deposition leads to the reduction of porosity at Zone 1.

Aids in the prediction of future patterns using the data.
More sensor data is kept in the cloud as well.
It can store a lot more data than bar codes.
The computational engine may use all of the data in the cloud storage to find trends and patterns within data.
With real-time data, managers don't have to wait for information, which frees up resources that were previously dedicated to data collecting and customer service.

Thus, chemical shift data allow qualitative and quantitative identification of the three major components of wood.
The reliability of the data is dependent on the shape of the droplet.
Fig. 15: Flexural strength at yield data of the PP Kenaf composites.
The authors observed that it was difficult to distinguish between materials that belong to the same class based on TGA data only.
The results show a good agreement between experimental and computing data.

The statistical property of the number can be gained when the time series modeling method is employed to analyze the dynamic data, the statistical property can often reflect some characteristics of the system producing the dynamic data.
The damage is implemented through elastic modulus reduction.
The detailed experimental setup can be found in literature [9] The acceleration responses in Y direction on node 2, node 6, node 10 and node 14 are selected as the research data, only the 2500 data between 5s and 10s is employed to establish the AR model.
Because the experiment data are limited, the network is trained with structural damage characteristic vector gained from numerical simulation, and the excitation is extracted from experiment record.
The structural damage characteristic vectors gained from experiment data are used as test specimen, the results are shown in table 2.

Data observed are transformed to model parameters, through a neural network that is trained with this kind of data.
The input matrices provide the input data for neural network and the target matrices provide the target data.
The first step in a neural network design is to configure the input and target data that will be used for training, validation and test.
The input vector defines data regarding magnetic field intensities on specific points of interest - that could be considered as sensors.
In order to have comparable results, the following neural network architecture created for each number of samples, 40 or 60, used the "divideInd" function, which divides the data index, based on the first data division [20].

The study found that there had been as 8% reduction in the bus travel time [3].
Reader decodes the data encoded in the tag's integrated circuit and the data is passed to server.
Application software on server processes the data, and may perform various filtering operations to reduce the numerous often redundant reads of the same tag to a smaller and more useful data set.
The response of a passive RFID tag may include a unique ID number and data.
Experimental Results The performance of the proposed system has been tested based on hypothetical data as well as real-life traffic data from local transportation authority.

However, a wide discrepancy existed on the prediction of the SPHB test data with strain rate of 1000/s [9,10].
Since only uniaxial tensile test data is available, parameter γ is not calculated in this paper.
The proposed model is then fitted to the experimental data of the PC/ABS blend as described in Figs. 3a and 3b.
In Fig. 3a the proposed model fits well to experimental data up to large strain.
The DSGZ model fitted to experimental data (a) (b) Fig. 3.

The experiment data is shown in table 2.
The experiment data is shown in Fig.5.
The experiment data is shown in table 3.
The experiment data is shown in Fig.6.
The experiment data is shown in table 4.

Additionally, damage data taken for a reactive ion etch (RIE) system with a radiofrequency (RF) biased chuck are compared with similar data taken for the low ion energy bombardment ash tool.
Initial substrate loss characterization was done using thermal oxide, and the data are shown in Table 2.
Similar data were taken for charge damage as well, and we found no charging of the wafer due to the RF-Assist.
Polysilicon loss data for various recipes on the RdS320i.
This method, described in the companion paper, was used on the RdS320i, and the data are shown in Figures 6 and 7.

The increase of sludge causes a reduction in the capacity of the facility and at a subsequent pickling process the floating sludge will lead to product contamination or stains, therefore it should be removed periodically.
References [1] Handbook of Corrosion Data, ASM International, 1995