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The related data are shown as the following Table 1-3.
Table 1 Simulative Data about the Relationship between the Organization Centralization and Project Complexity Organization Centralization Time of Simulation The Implicit Workload Project Complexity Rework Coordination Waiting Total High 823.5d 22836.5 53409.1 32759.3 109004.9 0.757 Medium 800.2d 17798.7 51273.0 21061.4 90133.1 0.626 Low 760.0d 11010.7 45092.5 7409.0 63512.2 0.441 Table 2 Simulative Data about the Relationship between the Organization Normalization and Project Complexity Organization Normalization Time of Simulation The Implicit Workload Project Complexity Rework Coordination Waiting Total High 769.0d 11376.9 20234.5 9823.7 41435.1 0.288 Medium 800.2d 17798.7 51273.0 21061.4 90133.1 0.626 Low 1039.6d 36360.0 101252.2 25033.3 162645.5 1.129 Table 3 Simulative Data about the Relationship between the Degree of Organization Matrix form and Project Complexity Degree of Organization Matrix form Time of Simulation The Implicit Workload Project Complexity Rework Coordination
Besides the waiting workload has the most drastic reduction among the implicit workload while the rework workload and coordination workload have much less reduction.
The data are shown as the following Table 4-6.
Table 4 Simulative Data about the Relationship between Team Experience and Project Complexity Team Experience Time of Simulation The Implicit Workload Project Complexity Rework Coordination Waiting Total High 784.5d 17186.9 35834.6 18549.6 71571.1 0.497 Medium 800.2d 17798.7 51273.0 21061.4 90133.1 0.626 Low 834.4d 19222.1 72966.0 21160.0 113348.1 0.787 Table 5 Simulative Data about the Relationship between Functional Mistakes and Project Complexity Functional Mistakes Time of Simulation The Implicit Workload Project Complexity Rework Coordination Waiting Total 0.0 751.2d 6058.2 30515.7 1354.0 37927.9 0.263 0.1 800.2d 17798.7 51273.0 21061.4 90133.1 0.626 0.2 840.4d 27006.8 55351.8 38372.1 120730.7 0.838 Table 6 Simulative Data about the Relationship between Working Experience and Project Complexity Working Experience Time of Simulation The Implicit Workload Project Complexity Rework Coordination Waiting Total High 793.4d 17939.7 47174.0 15812.6 80926.3 0.562 Medium 800.2d 17798.7

The head of dam: according to the real condition of river improvement in the lower yellow river, taking the water erosion which is around the head of dam into account, some deep drawn in the head of dam will be intensified, combined with previous statistical data of the head of spur dike, the greatest depth of scour hole should be 20m.
Strength reduction method.
It is the third definition of slope stability safety coefficient which is based on the concept of strength reduction[8].
The basic principles of strength reduction is that the strength of the material parameters, c, tanφ', are divided by a reduction coefficient, F and get a new group of c', φ',and then take them into the calculation as new material parameters, through the ever-increasing reduction coefficient, F, and repeated analysis on the subject of study until get the critical condition, and now the reduction coefficient have the same concept of the safety coefficient, Fs.
Assuming soil shear strengths of side slope are all the same, shear strength reduction coefficient can be defined as stability safety coefficient of slope, and the safety coefficient can be considered as reserve strength coefficient of safety.

It provides lower rolling force and high reduction of metals, and better crystallographic textures can be obtained.
With an increase of reduction, the strip profile varies from middle waves to edge waves.
When the reduction is 20%, a better strip shape can be obtained.
The strip shape also increases with an increase of reduction.
A Pentium III computer is used for data collection by using Lab Window Software in the experiment.

Rhenium was introduced into molybdenum during a process of the reduction of ammonium perrhenate mixture with Mo powder.
Quantitative phase composition was determined by Rietveld refinement of data in SiroQuant® V3.0 software.
The result of the reduction of the NH4ReO4 and Mo mixture was a fine powder with oval grains.
Powders after reduction and annealing preserve their oval shape, which is an advantage in the plasma spraying process.
X-ray diffraction patterns of Mo85Re15 powders (after reduction and annealing) and plasma sprayed coatings.

The strips were cold rolled to the reduction of 20%, 40% and 60%.
They were cold rolled to the reduction of 40% one more time.
In order to study the influence of final aging on the mechanical properties of the alloy, the result data of samples denoted "Pre-aging" and "Double aging" in Fig. 2 were compared.
It can be seen that by increasing the reduction in area the yield and ultimate strength of materials first increase and then decrease.
Therefore, grain growth is more possible for large reduction in area especially the samples undergone to 60% of cold working.

The measurement method is simple and convenient, has strong adaptability, no risk, the data is stability, the results are clear.
The emission reduction of CO2 has a long way to go [1-3].
Carbon capture and sequestration technology is the important way to realize carbon emission reduction [4-5].
This device can measure the flow of carbon dioxide absorbed by carbon dioxide absorbent, provide effective data for the experiment
This device has many advantages such as measurement convenient, simple operation, strong adaptability, no risk, the data stability properties which provides some reference for carbon dioxide emissions absorption.

The main task of the sensor node software include the system power-on self test, data acquisition, data receiving and sending, and power management, etc.
A variety of air quality sensors are placed at each node, though the comparison the data collected by five sensor nodes to verify the data transfer accuracy and sensitivity of wireless node.
After 4:00 p.m, with the crowds’ reduction and pollution reduction of gas emissions, the concentrations of harmful gases show a downward trend.
Monitoring center can display real-time data of the monitoring points，the data can be refreshed from time to time and the historical data can be displayed in tabular form.
The frequency of data collection was increased using software method, which extends the data-transfer cycles and reduces the loss rate of data packet.

Table 1 and 2 show the transmission line data and bus-data of the 5-bus test system, respectively.
Table 1: Bus Data vmin (P.U.)
QMIN (MVAr) QMAX (MVAr) Qd (MVAr) Pd (MW) Qg (MVAr) Pg (MW) Bus No 0.95 1.05 0 1.05 -120 120 50 65 89.57 89.57 1 0.95 1.05 0 1.02 -90 90 50 85 60 180 2 0.95 1.05 - 0.97 - 100 45 75 0 0 3 0.95 1.05 - 0.96 - 0 45 75 0 0 4 0.95 1.05 0 1.02 -150 150 100 150 40 140 5 Table 2: Transmission Lines Data Max flow (MVAr) a (at nl side) BC (P.U.)
The real power losses however, slightly increased to 4.47 MW compared with Case 1, giving a 32.35% reduction.
In case 1, the real transmission losses decreased from 18.08 MW to 15.58 MW, representing a reduction 13.83%.

Through simulation and numerical analysis, the algorithm to solve the original non-stationary signal interference spectrum , nonlinear shortcomings, through a series of changes to remove noise, which can reduce the difficulty of data processing and increase the accuracy of the gas signal analysis . 1.
Using the HHT algorithm processing, EFPI spectrum signals were collected to realize interference spectrum signal noise reduction processing, in order to obtain accurate EFPI cavity length information. 2.
HHT is essentially stationary signal processing, including the two main basic processes: One is the Empirical Mode Decomposition (Empirical Mode Decomposition, the EMD), the second is the Intrinsic Mode Function the IMF (the Intrinsic Mode Function) of the Hilbert-transform. 3.1 Empirical Mode Decomposition The essence of EMD decomposition process: Signal in different scale trend of fluctuations or broken down step by step, produce a series of signals with different frequency scale data sequences, each sequence is called an intrinsic mode function (IMF) components.
Determine what the IMF should satisfy the conditions: (1) In the whole data sequence, number of passing zero and extreme value point number equal or differ at most 1; (2) The connection on the local maximum value of the envelope and connection envelope under the local minimum value of the mean is zero.
Noise reduction method of HHT algorithm is better than the previous, suitable for processing non-stationary and nonlinear signals, improves the accuracy of the real signal acquisition.

This research provides basic data for the implementation of the saline aquifer storage in China.
If CCS can play an important role in CO2 emission reduction, saline aquifer storage will be the main geological storage option.
The overall size of storage potential directly determines CO2 emission reductions that CCS can realize.
Specific values ​​can be obtained from the relevant geological data.
Wang: Journal of Chemical & Engineering Data Vol. 57 (2012), p. 3399