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After that, the modal reduction process prior to the dynamic analysis is preceded using the ABAQUS software.
Selecting the indicator diagram data for rated speed 2300r/min of the diesel engine as the boundary of the initial conditions, the EXCITE software can generate the piston load applied to each piston, each combustion chamber pressure load, and the reaction torque of the crankshaft output automatically according to each cylinder firing order.
Figure 1 shows the indicator diagram data for rated speed 2300r/min where the 0 deg crank angle means that the piston is at TDC of the compression stroke.
Pressure data for rated speed Then dynamics calculations using the cylinder pressure values which shown in Figure 2 are carried out.

Direct-driven generators are favoured for the small VAWTs due to reduction in losses in the drive train and less noise.
The operation sequence controller releases the brake system and then periodically checks data measured from sensors after turning the VAWT on.
A PLC controls the brake system and the VSCs based on the data measured from sensors including an anemometer, an inductive proximity sensor, voltmeters, and current sensors.
The measurement data were synchronously recorded and applied to calculate average wind speeds and average power per hour.

While previous video coding standard focused on compressing fixed resolution video data as a single bitstream, H.264/SVC can compress several different resolution video data as a single bitstream.
For the training process, the modes of neighboring MBs xn, yn are inputted as training data. xn is the observation vector , which is composed of five variables MA, MB, MC, MD and ME, representing the modes of the five neighbors, separately. yn is the checking vector, which is composed of variable MX, representing the modes of the current macroblock X.
Simulation result of spatial scalability Parameters are listed below: NumLayers = 2; Resolution = QCIF for base layer; and resolution = CIF for enhancement layer; Motion search range = 16; GOP size = 16; MV resolution = 1/4 pel; QP = 32 for base layer; and QP =34, 36 for enhancement layer; Frame out rate = 30 HZ; Total number of encoded frames = 50 Table.4 Simulation results of the proposed algorithm and algorithm in [5] Sequence Proposed algorithm Algorithm in [5] BDSNR(db) BDBR(%) TS(%) BDSNR(db) BDBR(%) TS (%) BUS -0.0649 0.25 30.70 -0.083 1.48 31.27 CITY -0.0351 0.081 30.71 -0.107 1.13 50.31 CREW -0.0477 -0.21 28.13 -0.173 1.32 45.48 FOOTBALL -0.0478 0.12 25.26 -0.072 0.42 17.26 FOREMAN -0.0345 0.16 45.08 -0.093 1.78 52.27 HARBOUR -0.0523 -0.088 24.72 -0.071 0.79 41.52 MOBILE -0.0922 -0.17 31.43 -0.005 0.09 0.61 SOCCER -0.0665 -0.022 24.85 -0.051 0.33 18.63 As shown in table.4 our algorithm has very less BDSNR loss, and in BDBR the increment is so low, while the time reduction

Intelligent power system can guide the customers to use the electricity scientifically and reasonable, improve power use efficiency of equipment, and further improve the whole social energy use efficiency, promote energy-saving emission reduction and environmental protection [1].
Meanwhile, it has the function of data acquisition and analysis of equipment states in real-time, which can guide the consumers to use electricity reasonable and orderly.
The protocol must contain the frame transmission direction (source and destination), the frame type, and the device command or status information, while also take into account the data error problems in transmission.
Equipment state monitoring module is responsible for collecting electrical equipment electricity information, including the temperature, illumination sensor information collection in real-time, and intelligent socket statistic data in different room, such as voltage, current, power and power consumption.

The thermocouple voltage outputs were fed into a data acquisition system and then recorded via a personal computer.
Data reduction The goal of this study Reynolds number based on the duct hydraulic diameter is given by (1) The average heat transfer coefficients are evaluated from the measured temperatures and heat inputs.
The data obtained of Nu and f values are compared at similar pumping power.

The data of sap flow rate were stored in RR1008 data collector.
Experimental data were analyzed by spss16.0.
As after the reduction in solar radiation, the sap flow rate showed a trend of decrease, it decreased to less than 1.0 cm/h at 20:30.

Some energy-using units have not the relevant equipment of energy statistics, seriously affecting the statistics and accounting of carbon emission data at the park level.
In long-term development strategies of enterprises, put into the low carbon development growth concept, establish detailed activities planning, which include financial goals, quantitative reduction targets and other targets.
The energy low-carbonization development of the industrial park must be supported by advanced information technology to build information databases, included public infrastructure data, socio-economic, energy, greenhouse gas emissions, industrial, technical, environmental, etc., to achieve the construction of public-oriented, highly effective information sharing and information services system.
Industrial park administrative committee should make full use of network, communications and other modern information technology and resources to promote the information exchange and knowledge sharing of low-carbon, achieving statistical analysis and data management [8].

Relationship between axial stresses and relative strains of concrete and reinforcement can be described by various analytical dependences or presented in the form of experimental data [1, 2, 3].
As it can be seen in Fig. 1, data according to Table 6.7 [1] and Eq.1 coincided with an accuracy to rounding off.
Authors [5] note that formula (1) is conditional and gives understated data.
Thus, change in concrete σ – ε diagram form, which is caused by decrease in Eb and εb0 , leads to reduction of bearing capacity under eccentric compression.

In the current economic conditions, cost planning is closely related with increase in economic efficiency of the whole construction production, which is possible only through an integrated approach to management processes, cost reduction and increase in profits, the relationship between external (market) and internal conditions of production.
To describe the essence of the sectoral theory visualization model it is expedient to consider the following main stages: set-up stage - determining end objective of the modeling, a set that took part in the model of factors and indicators, their role; priori stage - premodeling analysis of the economic essence of the phenomena being studied, formation and formalization of prior information, particularly as relates to the nature and genesis of initial statistical data and random residual components; parameterization stage - modeling as such, i.e. the choice of general view of the model, including the structure and form of input relationships; information stage - collection of the necessary statistical information. i.e. registration of values, involved in the model of factors and indicators at different temporal or spatial functioning cycles of the phenomenon being studied; model identification stage - statistical analysis of the model and, primarily, statistical estimation of the unknown
model parameters; model verification stage- comparison of real and model data, model adequacy check, estimation of model data accuracy.

This however in agreement with the data obtained from XRD analysis.
According to the EDX data, the reduction in the purity of the carbon is due to the presence of impurities, mainly iron (Fe) and chromium (Cr).
EDX data of the synthesized carbons at (a) 500, (b) 600, (c) 700, (d) 800, (e) 900 and (f) 1000 oC XRD Analysis of Synthesized Carbons.