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Data was noted for every temperature only after reaching the equilibrium state.
Almost 20 % of collected data were not taken for analysis pretending them as outliers.
The data are summarized in the histogram shown in Fig. 5(a).
The data are summarized in the histogram in Fig.
Particle size roughly agrees with the data calculated from the XRD analysis.

It is observed that the role of construction materials modify the building interior and consequently regulates the indoor thermal environment and focus on the reduction of energy consumption at large.
Lack of consistent and available information/data about waste tire generation and management hinders the understanding of current management scenarios, which is critical to formulate pragmatic solutions [12].
And the construction started on 23rd June 2011 and finished on 05th January 2012 and finished the set up of equipments on 15th January 2012 and then data acquisition started.
Results and Discussions For discussion and analysis purpose we presented here only the data of ELT foundation based on experimental room and compared its performance and impact on the indoor thermal environment with the conventional sand filling foundation based experimental room.

The results show that with the use of fly ash, in contrast with the traditional ingredients, the formation of varieties of clinker minerals as well as the formation sequence and types of intermediates varied little, while the maximum decomposition temperature of carbonate was lowered by 50 ºC approximately, so that both the solid phase reaction temperature and liquid phase sintering point were decreased, which is favorable to the reduction of clinker formation heat.
In the case of ingredients containing industrial wastes, use the method described in the Appendix B of JC/730-2007, which is tedious and difficult to obtain part data.
The required basic thermodynamic data can be obtained from ‘Handbook of Inorganic Chemical Thermodynamics Data’.

The application of aluminum alloys in automobile manufacturing has resulted in the reduction of weight in vehicle, fuel economy and improvement of drivability and driving performance.
The segmented zones were determined by the experimental microhardness gradient data[8].
Overall, fatigue life data for the post-weld cold worked specimens are more scattered than those for as-welded specimens at a given load.
The reason for the scattered fatigue data maybe is due to the various Al weldment sizes and shapes.

The crystallite size and lattice strain of the synthesized powder particles were estimated by Williamson-Hall isotropic strain model (W-H ISM) from powder X-ray diffraction data.
In the present study the root mean square error (RMSE) or standard deviation (SD) of experimental data points from the ideal linear fit for HA [Fig. 3(a)], 1CHA [Fig. 3(b)] and 1C1SiHA [Fig. 3(c)] are respectively given by 7.64 × 10-4, 18.6 × 10-4 and 12.19 × 10-4.
Though the data points seem to be visually scattered from their respective linear plots, the standard deviation data show that the scatter from the linear fit is about the order of 10-4.
This is due to the fact that dislocations are thermodynamically unstable, having an associated localized energy which results in an increase in free energy and a reduction in the activation energy for dissolution at points where they emerge on the crystal face.

The first step is the length reduction of the input signal by means of the truncation in the Fast Fourier Transform (FFT) domain followed by the application of the inverse FFT guaranteeing a suitable time-domain down-sampling.
In addition, the work in [6] a new method has been developed to detect the QRS complex and arrhythmia classification based on the ECG data.The proposed method is based on the Discrete Wavelet Transform (DWT), Delta Sigma Modulation (DSM) with local maximum-minimum point algorithm for R peak detection.
The work in [11] is based on a fully convolutional network this method is based on: the FCN model for detecting QRS complexes in the ECG signal, the generation of ground-truth data to train the FCN model.
Accordingly, the obtained result confirms the efficiency of the algorithm in term of significant execution time reduction according to the same accuracy as the conventional slower algorithm.

LVDS provides a high-speed data transmission (1.4Gb/s), suppression of common-mode noise and reduction in power consumption for the system [7].BLVDS (Bus LVDS) is an extension of LVDS in multi-point communications, which requires bus arbitration design, stronger drive current (10mA) and better design of impedance match.
The amount of processed data is packaged by the high-speed bus, sent to data processing module.
Therefore, real-time data was transmitted at fixed intervals, and then the remaining cycle time was used to transmit standard TCP/IP data.
Data was sent to process layer bus by the optical interface, as open-source data which other IED had access to.
Design of interface of Highrate Data Sampling System Based on FPGA.

Hypothetical data sets were applied to the HCIS-NO3 model to simulate the nitrate pollutant concentration along the river downstream.
The observed nitrate concentration data obtained from uMgeni Water for the year 2014 were used to evaluate the model.
Thus, the observed data for the first sampling point (RMG003) were applied as the boundary condition for the model simulation.
The results of the model simulation were compared with the measured data obtained from other sampling points.
Table 3 gives the final calibrated data for other kinetic parameters considered for the model simulation.

The RFD is the basic sensor node which is employed to capture data and transfer it to the gateway node within the range.
The point-to-point network can support ad-hoc network, allowing data transmission in the network through multi-hop routing mode.
Seen from the network function, each sensor node serves as both the terminal of the conventional network node and the router to not only collect the local information and acquire the data but also store, manage and combine the data from other nodes and the like.
In actual application, there is restriction in energy of the sensor network; and the reduction in data transmitted can effectively save the energy; therefore, the sensor node is in sleep mode for most of the time due to the limitation in hardware resource of itself.
In this way, the nodes can transmit data.

The correctness of data is checked by using data monitoring platform.
The data is collected using a data monitoring station.
Before the experiment starts, it is necessary to debug the correctness of the data monitoring station and adjust the correct fluctuation range of the collected data of the sensor.
The correctness of data is checked by using data monitoring platform.
The data is collected using a data monitoring station.