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The imitative effects of bearing stiffness without pre-tightening force are shown in Fig.4, where (a) is linear imitative result and (b) is imitative error of data node.
Signal measured by acceleration sensor on the spindle will be transferred to data acquisition device, then to the computer.
With this software, data will be analyzed to get the spindle modal.
The experiment method is as follows: divide the spindle into 5 equal parts, and install four acceleration sensors in this division points homogeneously, then the hammer knocks on a fixed point on one end of the spindle several times, the generating signal is transferred by accelerating sensor, deal this signal with filtering, noise reduction and charge amplification before transferred to the computer, finally, with the modal analysis software, modal analysis is conducted.

Finally, compared with the standard data of JCPDS No.38-1420, all the diffraction peaks are assigned to the phase of ZnGa2O4 and no characteristic peaks of the Cr2O3 are observed.
Table 1 The fitting data according to experimental decay curves in Fig 4 and Equation (1) Samples A1 τ1 [s] A2 τ2 [s] λem ZnGa2O4: 0% Cr3+ 1127 5 358 70 λem=510 nm ZnGa2O4: 0% Cr3+ 61 5 19 60 ZnGa2O4: 1% Cr3+ 15 7 6 93 λem=694 nm ZnGa2O4: 2% Cr3+ 36 7 15 97 ZnGa2O4: 3% Cr3+ 254 7 94 80 ZnGa2O4: 4% Cr3+ 150 6 56 77 ZnGa2O4: 5% Cr3+ 45 6 17 86 For further discussion of the afterglow mechanism, the afterglow decay curve of each sample in Fig. 3 was tested respectively as shown in Fig. 4.
The fitting data are listed in Table 1.
In the process of afterglow, due to the effect of concentration quenching, the effective Cr3+ concentration is reduced, leading to the reduction of the electron trap GaZn°(Cr3+) concentration, so the afterglow intensity decreases as well.

Data are expressed as mean ± standard deviations.
The crosslinking degree was calculated from the reduction of free –NH2 groups of materials.
This might due to the higher differences of amino groups before and after crosslink process(data are not shown here).
The data obtained from these experiments was currently used as a model scaffold for in vitro three dimentional cell cultures.

They collect information, process mega data efficiently via cloud computing platform, share devices, information and services, and provide services in areas such as intelligent traffic, logistics, house living, electric grid, monitoring & control, and medicare [5,6].
Furthermore, the information and data can be transmitted and processed through information system to improving the production level and living standard of people.
Through the exchange of data and information between IOT and the scheduling platform, account management of electric vehicles and recharge payment can be implemented.
There is a series of supporting policies on research planning, industry standard, promotion and tax reduction.

However, the quantitative ratio of minerals in slag is not sufficient for a significant reduction of the setting time, because in aluminate cement its setting and strength is achieved due to the interaction of water and low-basic calcium aluminates which leads to the formation of calcium hydroalumates and the disengagement of aluminum hydroxide [6–8].
The comparative data of strength and setting time tests for the mixtures of different compositions are given in Table 3.
Compared properties of modified mortars Item number Mineral components, % Chemical admixture1 Water demand Setting time Compressive strength, MPa Cement Steel-making slag Gypsum1 start finish 1st day 7th day 28th day Without admixtures 1 70 30 15 – 0,29 4’08” 4’50” 12,6 31,3 57,0 Without admixtures with milling 2 70 30 5 – 0,29 2’39” 3’50” 18,9 74,8 102,5 3 70 30 10 0,29 2’10” 2’45” 20,5 51,9 73,3 4 70 30 15 0,29 2’05” 2’35” 10,8 50,8 69,3 Plasticizing admixtures 5 70 30 15 SP-1, 0,5% 0,27 4’24” 5’40” 18,1 49,5 65,1 6 70 30 15 SP-1, 0,7% 0,26 5’24” 7’00” 11,3 50,0 64,3 7 70 30 15 Melflux 2651F, 0,3% 0,24 4’50” 5’10” 24,9 45,5 61,5 Hardening accelerators 8 70 30 15 Lithium carbonate, 3% 0,30 4’01” 5’25” 23,1 38,8 47,5 9 70 30 15 Potassium sulphate, 2% 0,29 3’05” 4’40” 16,5 38,3 47,5 1 The content of gypsum and chemical additives is shown as % from the total weight of cement and steel-making slag; According to the data in Table 3, we see that the plasticizer Melflux 2651F being added
Analyzing the data of Table 3, we can also conclude that grinding had a favorable effect not only on the setting time, but also on the strength, which is predetermined by the reduced content of gypsum during the mechanoactivation of the composition.

Transport service of considered territory is combined in criteria group K2 and is specified through the data which characterize the public's ability to use the transportation network and is defined as the ratio of the territory of roads tothe population of the area.
Quantitative data is determined based on definition of density of location networks of various transports to the length of communication lines, account must be taken of only inhabited area.
If the criterion is negative for the project – when considering a particular object, this criterion is exhibited a negative valueand in the calculation of the final gradeit performs the role of a reduction factor.
+С12Х12, (1) Where factorsС1, С2,…,С12 are determined by the formula: Сn=В1/Вn+В2/Вn+…+В12/Вn; (2) To determine the components of the vector X we use the method for calculating the eigenvector: Xn=Kn/S, where Kn=(( В n/ В 1)*( В n/ В 2)*…*( В n/ В12))1/12; S=K1+K2+…+K12 (3) Coherence index is calculated by the following formula: СI=(СС-n)/(n-1), where n is a number of criteria (4) If you have any inconsistencies of judgments, which can be caused both by the incompleteness and inaccuracy of initial information, it is necessary either to recheck the original data, or to reconsider the scale of comparison.

It is well known [2] that semiconducting barium titanate can be produced by atmospheric reduction (forming oxygen vacancies) or by donor doping with trivalent ions (La3+, Y3+, Sb3+) on Ba-ion sites, or with heptavalent ions (Nb5+, Sb5+, Ta5+) on Ti-ion sites.
All impedance data were fitted to appropriate equivalent circuits using ZView Software (Scribner Associates, Inc.) [7].
A great strength of impedance spectroscopy lies in the fact that, with the appropriate data analysis, it is often possible to characterize the different electrically active regions in a material by demonstrating their existence and by measuring their individual electric properties [9-10].
The combination of the measured impedance data and results of the simulation performed with the help of electric equivalent circuit are given in Fig.3a and Fig.3b for the case of the whole frequency range (ν≤1MHz) and low frequency range (ν≤10kHz) small frequencies (ν≤10000Hz) respectively for different compositions.

In industries, an established system must trade off between the involved fixed costs for advanced equipments and the reduction of the variable costs for energy consumption [2].
Generally, the commands used by CNC system are G codes, which contain incremental or absolute position data of each axis, spindle speed, feed rate and other information [3].
RFID technology collects data about a certain item or product by the use of electromagnetic waves without any physical interaction with the data label [7].

Table 2 Energy saving data, LED vs.
HPS Item Road length 1km Lamp number 64 Lighting work time(h/day) 10 Lamp type HPS using grid Solar-powered LED Lighting power per lamp (W) 400 120 System efficiency(%) 38 72 Lighting to target effectiveness(%) 40 85 Total power consumption (kW) 25.6 0 Power saving, kW - 25.6 Yearly total energy saving, kWh/yr - 93440 Benefit of LED lighting CO2 emission reduction, kg/yr - 75048 Economic analysis We use the current market prices of solar array model, battery and lamps to assess all the cost for the Fengshan street.
Table 3 Economic analysis data, LED vs.
Based on the data in the Table 3, the payback time for the excess investment of LED is 2.2 years.

The rule mainly includes upshift rule and downshift rule, the former can be solved by analytical method used in the literature [3, 4] after using experimental data of the tractor engine characteristics test, that is to determine the speed of up-shifting of the tractor in different condition; And the latter, according to previous experience, can be acquired by giving certain delay speed after solving the rule of up-shifting, as shown in Fig. 1.
According to the test data and control requirements, the values of throttle opening and slip rate are respectively: [0 100%] and [0 30%], the value of gear correction ranges as: -1, 0.
As illustrated in Fig. 3, membership function curve of each fuzzy subset of the throttle opening, the slip rateand the gear correctioncan be solved respectively by using the above data.
But when it uses the shift rule after through the fuzzy optimization, the degree of frequently shifting has a large reduction.