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Simulation results have shown that the proposed model has merit and agrees with published experimental data.
However, the results they got were deviated from the experimental data.
Therefore, modal reduction is practical when calculations effort and noise rejection is crucial, for example when the model is used for switch vibration control purposes.
Modal reduction is based on excluding modes with lowest Hankel norms [8].
The technique allows for modal-model reduction based on Hankel norms of individual modes.

azhangji0548_cn@sina.com, byanhan006@163.com Keywords: WSN, LEACH, Cluster-head selection, Data reduction, Network lifetime.
(2) According to the model, if we only consider the circuit losses, Formula (3) stands for the energy consumption when receiving k bits of data, and Formula (4) represents the energy consumption when a node applies data fusion on k bits of data, wherein Esb means the energy consumption of data fusion per bit of data
Improvement Based on Data Redundancy.
(7) Set a similarity threshold ρt, if ρ ≥ ρt, we take the data collected in the nth round as redundant data which have no impact on the final data fusion.
So the data does not need to be sent to the cluster head, and the cluster head can use the data collected in the mth round when performing data fusion.

It may not only bring reductions in CO2 emission, but also may lead to savings in expenditure on energy.
The reduction of costs via energy saving could be the first purpose instead.
These data can teach all those involved how much energy is consumed uselessly and how they can reduce it.
Among the group members, from data analysis, essential problems for reducing energy consumption will be discussed, and their countermeasures are to be proposed and implemented selectively.
In this case power reduction rate was 30 percent and return on investment (ROI) was 2.7 years[6].

Water removal during the SS composting is considered to be an effective sludge reduction process that benefits the storage and transportation of SS composting material [1].
Table 1 Design of the turning strategy in each treatment Treatment Turning time (day) temperature-increasing phase Thermophilic phase Cooling phase T1 - - 12, 16, 20 T2 - 8 12, 16, 20 T3 2 8 12, 16, 20 T4 2 8 12, 14, 16, 18, 20 Data acquisition and sample analysis.
Formulae for data computation.
Fig.1 Moisture content and VS content variation of each treatment Fig.2 Water removal variation of each treatment Water reduction.
Considering with energy consumption (T3 turning one more time than T2), the turning strategy of T2 was recommended to achieve better quantitative reduction efficiency in composting process.

The test data was recorded using an HFFB with a 1:400 scale rigid lightweight foam model mounted on it.
Each test lasted 250 seconds (approximately 4 hours in full-scale) and data were sampled at a rate of 116 hertz.
Applying the site-specific meteorological wind climate model to the test data gives base moments that are used for calculating the GWF.
Three TLD systems with varying water mass are designed and evaluated using data from HFFB tests conducted at the BLWTL at Western University.
“A New Force Balance Data Analysis Method for Wind Response Predictions of Tall Buildings.”

A first design of VSM is realized according to the original data from production processes and the layout, identifying the key times of each workstation.
Table 1, VSM input data Customer Order 9085(per month) - Feb 2014 Demand 400 (per day) Working Hours Two Shifts 16 Hours(per day) Break One Hour (per Shift) The main processes are identified first.
The data box envelopes the following data like cycle time, change over time and number of operator.
The inventory triangle envelopes two data work in process between each process and respective inventory.
Future work This paper gives only a cycle time and inventory data of the pump industry.

Comparison of the calculated and technological data shows that the melting ends in conditions close to chemical equilibrium.
The initial data concerning the chemical composition of the phases were treated using a mass balance equations and data concerning the mass fraction of each phase.
[wt.%] Calculation: S = 0.98 5.25 5.84 33.82 42.52 1.257 X-ray microanalysis data: – 5.28 5.89 33.90 42.48 1.253 Table 3.
The thermodynamic analysis results are in full agreement with experimental data.
This fact confirms that the method of calculation and the adjusted thermochemical data can be used for modeling a wide range of metallurgical tasks.

The methodology involves analyzing technical and operational data from Canada, Finland, Zambia, and South Africa, adapting it to Ukrainian conditions, and modeling the integral economic effect.
The dependence is described by a saturating Hill function, with parameters determined via the least squares’ method using empirical and calculated data.
For the first time, global operational data have been integrated with modeling for Ukrainian open pits, producing a tool adaptable to various mining and geological conditions.
Practical data indicate that the effect increases nonlinearly: the largest gains are achieved when electrifying the most energy-intensive segments, after which the rate of growth declines.
The first year of operation should be conducted as a "pilot phase" with detailed data collection on fuel savings, emission reductions, changes in trip times, and maintenance costs.

Active noise reduction method has low frequency noise control effect is good, can be selectively noise elimination and other advantages, has become the focus of attention.
This paper establishes the simulation model of the active noise reduction system in the MATLAB/Simulink environment, the simulation analysis of a large number of the relevant parameters of active adaptive control algorithm; in a light bus was constructed in the active noise control system in vehicle, the implementation of active noise reduction test, has achieved a good result.
When the engine speed and stable operation in 1080rpm and 2400rpm, the experiment data are analyzed, comparison of the test results of active control system of driver's right ear before and after the opening time curve and frequency curve are shown in Figure 3 and Figure 4
Sound pressure level of each noise peak value was synthesizing, get the overall sound pressure level of interior noise, it can calculate noise reduction amount of vehicle active noise reduction test.
According to this method, calculates noise reduction amount of adaptive active noise control test under two different speed of engine, as shown in. table 2.

Two national monitoring section data was analyzed according to two contributing factors, which were time and location.
The monitored data was collected from Chongqing environmental monitoring center.
The data were processed by SPSS 13.
Acknowledgment The authors gratefully acknowledge the data support from the Chongqing environmental monitoring center.
We also thank Xia ting-ting for his assistance with the data collection.