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Due to its high speed data rate and its ability of multipath fading channel robustness.
These services carries high data rates in wireless communication system.
OFDM has its major benefits of higher data rates and better performance.
High data rates are achieved by multiple carriers and is performance improvement is caused by the use of guard interval thus mitigating ISI [1-4].
Modulated data symbol of complex value denoted by known as Independent Identically Distributed (IID) random variable.

Outdoor SVG “overheat capacity reduction” control strategy Overheat capacity reduction control strategy means to reduce output capacity, limit input current of power unit, thus reducing the overall heat radiated in order to keep the equipment functioning stably when the internal temperature exceeds the safety limit.
The key of the control strategy is to get humidity and temperature data timely and correctly, thus ensuring that the SVG control system can make correct judgment, preventing falling into “overheat capacity reduction” mode by mistake, and enabling initiation of “overheat capacity reduction” mode before overheat failure.
The entire unit consists of the embedded micro-computer, the bluetooth transceiver and the LCD, with input data and operating command keyboard, as well as USB interface and R-485 interface for data transmission.
Temperature and humidity wireless monitor collects temperature and humidity data of different points in real time.
At the end, SVG control system determines whether to enter “overheat capacity reduction” mode and sends alarm signal to the system at the upper level.

Damage assessment of high-rise hybrid buildings structures based on monitoring data Monitoring data is the basis of this method.
The monitoring data here refer to are the real-time monitoring data in the process of earthquake.
In this paper, there are two sources of real-time monitoring data: first, the real-time monitoring data that be got when the structure meet the real earthquake; second, the monitoring data that be got from shaking table test.
Utilize monitoring data to amend the result of finite element.
However, using the incremental loading method, a series of monitoring data will be got if the monitoring data is from shaking table test.

Coating a layer of soft silicone material on the surface of a rotating disk and determinate the rotating resistance in the fluid, according to the presentation of data, it has drag reduction effect compared with rigid surface and this kind of method also can be used on the research of flexible surface drag reduction technique.
Drag reduction in a rectangular duct using riblets.
The measurement of dynamic properties of viscoelastic materials for turbulent drag reduction//European Drag Reduction Meeting, Emerging Techniques in Drag Reduction.
Turbulent drag reduction using compliant surfaces.
Active wall motions for skin-friction drag reduction.

The calculated band structure data of the Fe-CDs are summarized in Table. 1.
The band structure diagram of Fe-CDs obtained by combining data from Tacu and MS (Figure 6d) shows that the conduction band potential of Fe-CDs-13.0 is more negative than that of ScCDs, which suggests that the reduction ability of Fe-CDs-13.0 is enhanced.
The band structure data of samples Samples Band/eV Vfb/eV CB(NHE)/eV VB(NHE)/eV ScCDs 1.51 -0.87 -0.83 0.68 Fe-CDs-10.0 1.23 -1.06 -1.02 0.21 Fe-CDs-11.5 1.39 -0.98 -0.94 0.45 Fe-CDs-13.0 1.44 -0.93 -0.89 0.55 Fe-CDs-14.5 1.78 -0.95 -0.91 0.87 Fe-CDs-16.0 1.14 -0.92 -0.88 0.26 Fig. 6.
The photocatalytic performances of ScCDs and Fe-CDs were tested in pure water and the data are compared in Figure 8.
Zhao, Enhanced photocatalytic CO2 reduction in a twin reactor by separating triphase CO2 reduction and water oxidation reactions, J.

With this system the user can know the forecasting data and decomposition results so as to make corresponding guiding policy.
Data Structure.
The data structures of “predicting the future carbon intensity” and “target decomposition” contain input and output data structure.
The input data of “predicting the future carbon intensity” is the specific year, the output data is the estimated carbon emission and carbon intensity in that year.
The input data of “target decomposition” is carbon intensity and the current year, the output data is the decomposed carbon emission and the target usage of coal, oil, natural gas and non-fossil fuel.

An Investigation on the Solid State Reduction of Chromite Concentrate A.
Identifications of the peaks were carried out by matching of the diffraction pattern and peak relative intensity with those found in the JCPDS data file using the APD programme.
The amount of mass loss during reduction therefore indicates the quantity of carbon monoxide released during the reduction and it is directly proportional to the mass of oxygen lost from the reducible oxides, and hence to the degree of reduction.
Reduction of chromic oxide to metallic chromium, after the reduction of iron, the remaining spinel consists of chromium, magnesium and aluminium oxides.
At 1300 C for 5 h, 73% reduction and 1400 ºC for 1 h 58% reduction were obtained in the mixture of chromite with metallurgical coke.

Among them, the values of should be set according to the expert advice or history data.
First step, selection of the sample data. the sample data should be from the same area and have the same technical conditions of the related real estate development projects.
M function files include foraging behavior, group behavior, following behavior and random behavior. according to the sample data, solve the optimal solution for the parameters a, b, c, min(a,b,c)<0.01 is for the algorithm termination conditions, and 0.01 is the tolerated error.
The evaluation results The classification criteria of evaluation results are in Table 2, the specific levels can be divided according to the average grade of each evaluation index in historical data, or can also according to the expert advice.
Depend on the carbon reduction ability of developers to give preferential policy.

To achieve the aims, it was decided that the key parameters of the soft reduction which is soft reduction zone, total soft reduction amounts and reduction rate in the given soft reduction zone.
The proper soft reduction zone is the most important precondition to achieve the ideal effect in soft reduction practice.
The calculated values of solidus were compared with the data in dynamic secondary cooling model database in present work.
The calculation results with non-equilibrium solidus are basically consistent with pin shooting experimental data, and the max error is 5mm.
Comparison of soft reduction zone distribution.

The experimental result of the flow drag reduction tested on macro-scale channel in laminar flow is very well, and the maximum drag reduction is 25.6%.
This phenomenon has important significance on drag reduction of super-hydrophobic surfaces.
Conclusions based on the findings are drawn: (1) In the normal channel, the experiential data of flow pressure drop is consistent with the theoretical values when Re≤2000; (2) In the super-hydrophobic channel, by the fitting experimental data curve, the friction factor can be calculated by the following equation: (7) Comparing with eq. (1), we found that the drag decreased by 25.6% in the channel with micro-nano structured super-hydrophobic surface channel.
Laminar drag reduction in microchannels using ultrahydrophobic surfaces.Phys Fluids. 2004, 16(12): 4635-4643
Drag reduction in ultrahydrophobic channels with micro-nano structured surfaces.