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The prediction methodology has been validated and a close match is observed between the predictions and flight data.
The comparison between the prediction using the methodology and flight data is shown in Fig. 5.
A close match between the prediction and flight data is seen in Fig. 5, capturing all the phases of flight, and thus validating the prediction methodology.
Fig. 5 Comparison between predicted and flight data Results and discussion The cold wall heat flux profiles at various locations along the length of airframe are shown in Fig. 6.
The present methodology has been validated using available flight data.

The procedure consists of first aligning the data to an ideal orientation and then adjusting selectively those orientations belonging to the texture component of interest.
In the following we show how such microstructures can be generated by the manipulation of a EBSD data set of a sample in the fully recrystallized state.
The procedures described could, however, be applied to a sample that has any other near-single component texture. 2.1 Data realignment algorithm: Here we adjust the data so that the cube orientation component is centered exactly on the ideal cube orientation (i.e. has a mean orientation exactly equal to {100}<001>).
For example, for EBSD data taken from a 99.999% Ni sample cold-rolled to 98% reduction then annealed at 300°C for 1 hour, after squeezing by α = 0.2 the cube texture is tightened so that the mean deviation to the average orientation is increased from θ,‾av,i = 10° to θ,‾av,i = 2°.
A series of Potts model simulation results using this EBSD data with 2 different squeeze-factors (as well as α = 1, corresponding to the directly imported EBSD data) are shown in Fig. 1.

It is used to parallel compute massive data on the cluster system.
First, the segmentation of the input data, distribute the data after segmentation to Map, then Map can mapping the distributed data（generally as the set） to another set of middle data.
The rule of reduction is also according to a specified function.
Facing to massive data on web pages of the internet, this characteristic provides a guarantee which has data storage and processing platform for the development of efficient network crawler.
MapReduce: Simplied Data Proc.

To contribute to the reduction of the use of costly Portland cement in concretes and mortars, and at the same time to reduce the CO2 greenhouse gases emission associated with the production of Portland cement, two types of wood ashes namely, Eucalyptus ash and Avocado ash as a substitute of cement in the production of concretes were investigated in the present study.
The control (C0) specimens have the compressive strengths greater than those substituted by wood ashes namely, avocado ash and eucalyptus ash and the compressive strength decreases with the increase of the percentage of wood ash as partial replacement of cement into the concrete, this is due to the reduction of the quantity of cement in the concrete and the ash content which does not work in favour of mechanical resistance (Turan et al., 2001).
Accessed 4 January 2016 [9] CEMBUREAU, World Statistical Review 1996–2008 Cement Production, Trade, Consumption Data, The European Cement Association, Brussels, 2010
Strength and durability of cement with forest waste bottom ash, Construction and Building Materials, 41(2013), 897-910 [13] Hendricks, C.A, Worrell E., de Jagger D., Block K., Riemer P (2004), Emission Reduction of Greenhouse Gases from Cement Industry, Conference paper, greenhouse gas control technologies, www.wbcsd.org/web/projects/cement/tf1/prghgt42.pdf
Sci. data, 6, 235-263, 2014. 730 Doi: 10.5194/essd-6-235-2014. http://www.earth-syst-sci-data.net/6/235/2014/essd-6-235-2014.pdf [18] Pacheco-Torgal F., Castro-Gomes J., Jalali S.

In the EU, the latest data shows that 32.5% of plastic waste is recycled and 42.6% recovered through energy-from-waste [3].
Statistical analysis Statistical significance between the studied specimen data was tested by using Daniel’s XL Toolbox Excel software.
The data were analyzed by using the one-way ANOVA Bonferroni-Holm post hoc testing algorithm. 3.
The data were analyzed by using the one-way ANOVA Bonferroni–Holm post hoc testing algorithm.
[31] Information on Matweb, MatWeb, Material property data, (2020). http://www.matweb.com

This module is to manage the whole data of CIMS system and achieve the integration and sharing of data of each production and management procedure.
They have the condition of direct data change with relational database.
It collects and transfers the data between real time database and relational database through internet.
And the relational database system is the data supporting platform to manage the software system.
And it builds the data collection server to ensure the data transmission between real time database and relational database.

Finally, after reduction, the model of original series is obtained.
The invalid data which significantly deviate from the normal range must be removed.
After excluding the above three types of invalid data, according to 3σ criterion, take the secondary removing.
So we substitute an additional data for invalid data in corresponding time.
The substituted data from three ways: First, based on experience, recover valid date from the "jump cycle" data; Second, for the data deviation from the normal range due to strong interference generation, we use linear extrapolation to obtain a new data replace the original data; In additional, the management agency regularly release revised ECD data, the date which ECD exceed the allowable tolerance can be correct.

A statistical work is presented, illustrating the referred information and focusing on the data related with the damage assessment of the considered monuments.
This work presents an intuitive overview of the seismic effects over the surveyed churches, allowing not only to better understand the response of these structures to this particular action, but also correlating the earthquake data with its effects on the churches.
The data gathered by the UNIPD, during the 1 st level technical surveys performed to the churches in the region of Abruzzo, in result of the 6 th April earthquake, was later inserted in a database, in order to have the information organized and to allow an easy access to these results.
After the preparation of the database, a statistical analysis focusing on the churches was carried out, in order to understand and correlate the earthquake data with its effects on this type of structures, (Costa 2009).
Considering the data collected, it was of interest to analyze the relation between the damage index of the surveyed buildings and its viability in respect to the distance of these same buildings to the epicenter of the 6 th of April 2010 seismic event, Figure 5.

The data set contains the wind speed recorded from 28 April 2005 to March 2008.
Firstly it was necessary to process the raw data in order to determine the days on which surveys were not available, to identify incorrect data, to remove days/months/years in which the number of missing data was high.
After the preprocessing phase the data have been normalized and then the correlation analysis was carried out in order to identify the optimal data set to be used.
For the testing of the model another set of data is used.
Given the results of correlations (see Table 1) we decided to use the data recorded in May 2006 for the training phase and the data detected in May 2005 in the testing phase.

Experimental data showed that the adhesives reinforced with nano-rubber particles showed less creep deformation than the unreinforced adhesives.
As a result, the total creep deformation for Albipox bonded timber was significantly reduced (see Fig. 7) with reduction of up to 35% after only 1600 h of testing is demonstrated.
A further contributing factor to this difference is the reduction in stress concentrations which will occur in joints during creep [1].