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Interface part is a PCMCIA type data acquisition card.
It can acquire signal data and control the hardware part.
Software part is to display signal data, to analyze input signal data, and to control interface and hardware parts.
It has a main button for software running, a hardware control part, and a data display and data saving part.
And data display and data saving part contains data display window, sensor description, stored data directory, numerical data display, and the Internet server address.

In order to facilitate the use of the data in the scene recognition, we save the depth data and RGB data together.
Flowchart of Data reconstruction Figure 2.
After processing, the point cloud data is still very large, in order to accelerate the data processing speed, sampling process is needed, so that the final data is approximately the 1/5 of the total number of original data.
In order to ensure that the final extracting plane data are valid, before running the RANSAC algorithm, it is necessary to check whether the number of data points in each category is greater than the threshold value after clustering category data, that is to eliminate the noisy point class and small data sets.
Thanks to sampling and noisy reduction processing of the original data, there are many "holes" in this picture, e.g., screen of the computer shown in Figure 3(d)

That is to say, at the same moment one data appears at main lode and the other datas appear at side lode.
Thus, CI code with K spreading gain can simultaneously support K transmit data on parallel sub-carriers.
CI/NC-OFDM system model A block diagram of CI/NC-OFDM base-band system transceiver is shown in Fig.1 and Fig.2.In Fig.1 at sender a high-speed data stream is transformed to modulated data by constellation mapping.
Then the serial data stream is transformed to K parallel data streams, where K is the number of activated sub-carriers.
After parallel-to-serial conversion, the final data is obtained by decoding and de-mapping.

Based on Green Product Cycle, using Panasonic as a case study, this paper explores how to establish the Environmental Management System by utilizing reviews of literature and resources of data base, and analyzing the data by conducting coding and categorizing.
Data Collection.
Case study data mainly come from “Panasonic Environmental Report” for nearly ten years data from year 2000 to 2009.
By collating data from the corporate environmental reports, we conclude the development tendency of Panasonic GP development rate shown in Fig. 1.
What is more, A huge database of “chemical substance content data” and “GP-Web system” was built by Panasonic.

Cellular Automata (CA) is an automatic machine that processes information from pre-existing data.
The data used in this process are land cover in 2010, 2015, and 2020, distance to the existing road, distance to the airport, distance to the existing built-up area, morphology, and investment planning.
The data used is a map of predictions of land use in 2030 as a result of Cellular Automata analysis and hazard maps of floods, tsunamis, landslides, and earthquakes.
Subobjective Analysis Data Predicting built-up land by 2030 Cellular Automata Modelling Road, location of the airport, existing built-up area, morphology, and location of the investment planning.
Meanwhile, we could not classify the risk of flood due to the availability of data.

Directed against the stiffened and thin-walled square concrete-filled steel tubular (CFST) short columns, the paper simplifies the square CFST columns into the circle ones by introducing the strength reduction coefficient of concrete and the equivalent constraint reduction coefficient.
The square CFST are equivalent to the circle ones by introducing concrete strength reduction factor and equivalent constraint reduction factor, which is shown in Fig.2.
According to literature [11], the equivalent constraint reduction coefficientcan be described by (5) where= length ratio of the stiffened and thin-walled square CFST with confining effect; is thickness and length ratio of the steel tube.
In literature [12], as the concrete strength reduction factor, was written by (9) where = the inside radius of the equivalent circular CFST.
Table 1 Comparisons between calculating results and test results data sources specimen numbers (MPa) (MPa) (mm) (mm) (number on one side) (kN) (kN) literature [14] CUS16 221 40.6 0 0 0 0.417 0.063 1239 1150 1.08 CSS16-1 221 40.6 2.5 10 1 0.450 0.066 1251 1200 1.04 CSS16-2 221 40.6 2.5 25 1 0.450 0.072 1272 1240 1.03 CSS16-3 221 40.6 2.5 40 1 0.450 0.078 1293 1310 0.99 literature [15] CUS16-1 230 50.0 0 0 0 0.417 0.063 1429 1370 1.04 CUS16-4 230 50.0 0 0 0 0.417 0.063 1385 1290 1.07 CSS16-1 230 47.6 2.5 25 1 0.450 0.072 1462 1450 1.01 CSS16-4 230 47.6 2.5 25 1 0.450 0.072 1419 1320 1.08 where = test data, = the theoretical value.

Calculating the sound insulation by this method and comparing with the measured data have shown that the prediction model may generate a certain difference between the prediction and experimental data, this method, moreover, might further solve the problem of the sound insulation of the complex wall structure by optimizing the configuration of the enclosure structure.
Then comparisons between the measured and predicted results are conducted, analysis the sound reduction index of double walls with different conditions are performed.
are displayed in Fig.4, the measured data in the Figs also comes from [4] .
It can prove that sound reduction about of 13dB when the spacing of the cavity up to 150mm [5].
The prediction in this paper have same tendency with measurement though the simplification gives rise to a certain difference between the predicted results and measured data.

Fig. 2 also shows that a decrease in strain rate from 4x10-3 to 1x10-4 s-1 leads to a fatigue life reduction of 48 %.
In air, the reduction of fatigue life is around 41 % for a decrease of strain rate from 4x10-3 to 1x10-4 s-1.
Similar data for a polished surface finish from a previous study [6-7] are also included.
By integrating the data of Fig. 5 for a crack depth ranging between 45 µm and 500 µm, it is shown that this stage corresponds to about one third of the fatigue life, regardless of the strain rate.
In particular, the reduction of fatigue life is more important than in vacuum and in air

The samples were compressed in reduction from 0.1 to 1.2mm each pass.
The compression tests were completed in 10 passes and the total reduction was 5.4 mm.
The reduction in each pass is shown in Table 1.
However, the data of force and displacement for all samples at the third pass on Instron 8083 were not obtained due to the malfunction of data collection system, which results in the discontinuous curves.
However, it tends to be stable when the total reduction increases.

The long-term experimental data showed by using changed plus PID control method that the system has high precision and better reliability and it is suitable to grow large-size laser crystal.
According to the highest speed (v) of the screw and the operating speed (n) of the motor, the lead (Ph) is calculated as follows: Ph=v/(i*n) （1） The data is input, and the lead is initially defined as 5mm.
The corresponding sample data is input, the calculated torque is about 2.8 N. m.
A final choice is decided to adopt a reducer with reduction ratio of 320.
Test of the System Figure 2 to figure 5 show part of the data got from a uninterrupted test with 30 days under conditions of a set speed of 3.5mm/h controlled by the PID controller (the motor speed is 0.975μm / s) [7].