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Raman was able to capture data from the 1-1.6μm thick NCD layer only while AFM measured the extreme low roughness of the NCD surface.
Spectrums that did not have cut off due to overflow data were summed.
Photoluminescent background was subtracted by fitting a polynomial curve with median graph filtered to smooth the data.
Thus AFM data from sample CC, shown in Figure 4, was chosen to represent all samples.
The average roughness values are calculated from all samples measured and are also given in Figure 4(b) with cross section data.

In what follows, reference to data reported by other workers will be complemented by a brief comment on the method employed in each particular case.
The deformation was found to involve neither GBS nor cooperative GBS, which is in conflict with the data reported in [37].
It is, therefore, concluded that the controversy between the data reported in [36] and [37] might be attributed to a difference in the grain boundary state of the studied materials.
Matching of the data presented in Table 2 reveals that the values Qс obtained for NS metals are lower relative to the CG counterparts by 2 – 2.5 times.
Qc, [kJ/mole] Qb, [kJ/mole] Qv, [kJ/mole] Qd, [kJ/mole] NS copper 72±15 62 [10] CG copper 186±17 104 [9] 196 [9] 117 [9] NS nickel 115±13 61 [11] CG nickel 280±15 115 [9] 284 [9] 170 [9] The Qс data obtained experimentally for studied NS metals was matched against the available Qv and Qd data; the values Qс are found to be significantly lower than the values Qv and Qd (Table 2).

After calculating and sorting, the experimental data is obtained; it is shown in Tab.3.
Judging from the error percentage, the data by simulation analysis is almost the same with the experimental data, which verifies the accuracy of the simulation model and parameter setting.
The average data is shown in Tab.4.
The effective ink layer thickness values are extracted, the data is shown in Tab.5.
The data is shown in Tab.6.

The whole preamble of B-MAC++ is divided into two types: the SP (Short Preamble) package and the SPD (Short preamble with Data) packets.
After the sending node received the confirmation information, it will no longer transmit SP or the SPD packages, and will start to transmit the remaining data.
Moreover, to make sure the reliability of data transmission, in the B-MAC++, if the sending node has not received ACK before the last ACK slot, then it may think that the destination cannot be arrived, then it will stop to transmit data for a moment and start to send again.
When the sending node transmits data to the node N1, it firstly sends many SDW packages, then nodes of N1 and N2 receive SDW, according to the address, N2 turns to the dormant state until the data transmission was finished.
In the process of the data transmits to the sink node, the closer together, the greater the amount of data and the transmission delays are, and it will cause severe packet collisions, congestion and packet loss, this phenomenon is known as the data flow funneling effect [2] of the sensor network.

To access the Web server to capture network packets, using the method set of interfaces to capture the data link layer packet, the server process () function to use "SOCK_PACKET" type parameters can be read directly by the data link layer packet Socket, then by the Bind () function enables the socket with the local IP address and port number associated with, and then call listen () and Accept () function so that the process is listening, ready to accept the client's request. 1) Extraction port Port monitor contains a TCP / UDP port for ARP monitoring and surveillance.
Methods to achieve are to extract the port monitor network traffic data port information and information via ARP packet capture module.
The system constantly analyzing to Web server data packet, if in a few seconds required from a fixed visitors packet data connections to the local host different port and number, is considered by the scanning attacks, and take immediate measures. 3) Event analysis Observe the host port connection status does not need to check each data packet associated with the host, only need to extract each session establishing connection and disconnected data packets for analysis on it.
Intrusion analysis on MAC monitoring might be reduced to only analysis to establish the connection of data packets.
Feature Selection of the Intrusion Detection Data based on Particle Swarm Optimization and Neighborhood Reduction [J].

The data collection process was carried out by conducting tensile testing and microstructural testing with two specimens each.
The test results will be analyzed using tensile strength data and visual microstructure analysis.
From the results of the analysis of tensile and microstructural test data, it can be concluded that only the 7075 aluminum specimen with a thickness of 1.4 mm shows the greatest decrease in tensile strength and spread of Mg-Zn and Fe-Al particles, when compared to specimen 7075 with a thickness of 0.6 mm which on the other hand, undergo the separation of Mg-Zn and Fe-Al particles.
Microstructure Test Result Data Microstructure Microstructure tests were carried out on the specimens before and after heat treatment, with the results shown in Figure 1: Figure 1.
The tensile strength value of aluminum 7075 after heat treatment of solution heat treatment has decreased, where the most reduction occurred in specimens with a thickness of 0.6 mm when compared to specimens with a thickness of 1.4 mm and 2.5 mm.

With different data acquisition, an increase in the volume of data comes.
All of data and processing resource is opened for the community through a web portal.
Grid-based data processing platform receive distinct instructions operating over different data sets from dinstinet data streams derived from the same data space shared by all processors.
The frequency of overall the robot’s routine was 1Hz and odometers data was obtained at 1Hz.
The sensor data were sent every 0.1 second.

For the Kinect sensor, in order to improve the final model and lower the amount of points computed, the input data has been cropped.
The following step involved removing random peaks by ignoring data above or below automatically set thresholds.
The resulting data was finally mirrored in the Z axis, due to the measuring principle of the software drivers for the Kinect.
It was however not possible to fully dispose of non-measurable data.
After filtering the input data the point clouds were modified by changing the offset of the points in one axis and levelling the acquired points.

Calculation data is summarized in Table 2.
Calculation data comparison table.
After the ozonizer is on (right data), CO decreases to 4.48% and CH decreases to 235 ppm.
Without using the ozonizer (left data) CO was equal to 0.02% and CH was equal to 100 ppm.
After the ozonizer was on (right data), CO decreased to 0% and CH decreased to 90 ppm.

Since there are systemic and completed accident data from work zones, their research results are more reliable and applicable.
Regarding to there is not enough accident data of work zones in China up until now, the road safety research based on traffic conflict technique is put forward in this paper.
The samples with short time headways as well as the follower vehicle faster than leader one are selected from the data, and the TTCs are calculated by formula (5).
After the statistic analysis of the TTC data, TTCs less than 2s are defined as the severe conflicts, and TTCs more than 2s and less than 6s are defined as normal conflicts.
The queuing characteristics, time headway distribution, and speed distribution of each component of the work zone are analyzed base on the investigation data and statistic analysis.