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On the contrary, as for CO2 emissions, the recycled rebar showed a 88.3% reduction possibility of greenhouse gas (GHG) emissions comparing to statistics of input-output analysis based on competition inducement coefficient, but it was found to be more disadvantageous from the perspective of GHG reduction than the statistics of input-output analysis based on non-competition inducement coefficient. 1.
System boundary of CO2 emission in manufacture of recycled rebar using wasted steel 2.2 Data sources of energy consumption and CO2 emission in this study In the system boundary defined in Fig.1, the major data basis used for calculating energy consumption and GHG emissions for this study is as in the following Table 1.
In addition, for the data basis for energy consumption and CO2 emissions using natural iron ore, this study used the basic units of energy consumption and CO2 emissions [2] consequent on production of 1kg of rebar by the input-output analysis.
Data sources in system boundary of this study Main steps Detail steps Sources of data Generation process of wasted steel from demolition Demolition of buildings ü Quantities of destruction waste from specific measured data Separation and sorting of wasted steel ü Equipment used for separation from specific measured data Load of wasted steel ü Equipment used for load steel scrap from specific measured data Transportation process of steel scrap Transportation of wasted steel ü Vehicle used for transportation of steel scrap from specific measured data Production process of rebar using steel scrap Production of recycling rebar using wasted steel ü Korea Environmental Industry & Technology Institute, Korea LCI Database Information Network (www.dep.or.kr/lcidb) [3] ü H steel company in Korea, the Investor Relations Report (2006) [4] Virgin material ü Korea Institute of Construction Technology (KICT), The Environmental Load Unit Composition and Program Development for LCA of Building (2004)
In addition, for the energy consumption and CO2 emissions consequent on rebar production using natural iron core, this study used the Environmental Load Unit Composition and Program Development for LCA of Building (2004) [2] by Korea Institute of Construction Technology (KICT) based on the input−output analysis as the data for this research (see Table 3).

Modal parameters were identified from the measurement data using the pLSCFD (polyreference Least Squares Complex Frequency Domain) [6] and the ERA (Eigensystem Realization Algorithm) [7] methods.
Comparison of the FRF sum obtained from measurement data and the synthesized FRF sum based on a) p-LSCFD and b) ERA method An important step of the modal identification validation is comparison of the synthesized FRFs for every accelerometer position with the FRFs obtained from measurement data.
Once modal parameters were identified on a basis of the measurement data, the FEM model parameters were tuned.
Normal modes identified from measurement data and calculated with a use of the FEM model were compared by a modal assurance criterion (MAC).
During the process of calculation, the frequencies obtained from experimental data were used.

Although significant amount of information on conventional steel welds is available, lack of data still exists for the laser beam welded Al-alloys of aerospace grade.
Data were taken for sheet T4 at 15 points, separated by 3 mm, on a line perpendicular to the weld line.
The sheet was rotated from -2.5° to 2.5° around an axis perpendicular to the weld line during data acquisition to increase the number of diffracting grains.
The data acquisition time was 23 seconds to match it with the slow motion of the rotating table.
The program "Fit2d" was used for data reduction.

Due to the power supply coal consumption saving, the annual amount of pollutants reduction of CO2, SO2, NO2 and dust are 4440.867, 16.462, 45.514 and 220.829t, respectively.
Case study Based on the steam-driven induced draft fan modification in 2×1036 MW ultra supercritical unit, substituting the relevant data into Eq.1~6 to obtain the standard coal consumption difference to generate electricity in order to calculate the economic benefit of the steam-driven induced draft fan project.
Effects of energy saving and emission reduction The auxiliary power rate of 100% THA is 4.22%, and the auxiliary power rate of 75%THA and 50%THA are estimated as 4.43% and 4.64%.
Tab.6 shows the amount of pollutants reduction.
Tab.6 The amount of pollutants reduction item unit CO2 SO2 NO2 dust per unit emission reduction g/kW·h 0.815500 0.003023 0.00836 0.040552 annual total emission reduction t 4440.867 16.462 45.514 220.829 Conclusion This paper discussed the economic and environmental benefit of the steam-driven induced draft fan, in order to verify that it has both economic and environmental advantages.

Similar results in Fe(III) reduction activity for Sh. putrefaciens and the enriched consortium C-5124 were observed.
Enzymatic Fe(III) reduction is known for e.g.
Ferric iron reduction by At. ferrooxidans was only stimulated once the pH was increased to a value of 1.8.
At. thiooxidans achieved the highest values of cobalt (78%) and manganese (70%) in solution in only seven days, while At. ferrooxidans required 27 days of treatment to reach a similar amount of dissolved cobalt (75%) and manganese (65%) (data not shown).
Hence, the ability of At. thiooxidans to tolerate extremely low pH at which to produce large amounts of sulfuric acid and to reduce ferric iron aerobically under those conditions suggests At. thiooxidans as the preferred candidate over At. ferrooxidans for reductive dissolution of laterite overburden in agreement with previous data on reductive dissolution of laterite tailings [10].

A mathematical model about the relationship between the parameters, which were tensile strength of small diameter cold-rolled steel rebar product and raw materials’ tensile strength, reduction of area, speed of cold-rolling and coefficient of extension, was built.
The appropriate genetic parameters were determined and the data optimization of small diameter cold-rolled steel rebar’s main technological parameters was calculated.
System Modeling The major factors that influence the function of small diameter cold-rolled reinforced bar vary with raw materials’ tensile, reduction of area, speed of cold-rolling and coefficient of extension and so on.
To obtain the small diameter cold-rolled reinforced bar with larger tensile strength, the key is to ensure the exact match for the raw materials’ tensile strength, reduction of area, speed of cold-rolling and coefficient of extension [4].
After optimization, when raw materials’ tensile strength is 452.8Mpa, speed of cold-rolling is 2.57m/s, reduction of area is 25.6%, coefficient of extension is 1.60, standard small diameter cold-rolled steel rebar can be produced.

Data acquisition The data acquisition function of the discrete manufacturing industry production execution management system is responsible to gather produces in the scene each kind of real-time renewal data message, and for other enterprises the data management to provide the data pool.
The data type divides into craft resources data, human resources data, product quality data and so on according to management way.
RFID data acquisition middleware The data acquisition middleware is connected the electronic label reader-writer and the enterprise application software link, it is managing the electronic label reader-writer and enterprise application software data stream, and there is responsible to the data security, accuracy, validity.
Data acquisition middleware has safety control, data buffer, data filtration, production data pool, reader-writer connection and application program interface and so on.
(4) Application program interface The RFID data acquisition middleware may provide many service connection for the application procedure, in which most basic including obtains the data message and renews data message.

First, the energy consumption reduction effects based on the insulation performance of the developed insulator have been analyzed.
The energy reduction effect has been analyzed under the conditions as shown on Table 1, and the economic efficiency and carbon dioxide reduction effect has been analyzed during operation, based on the analyzed reduction effect.
Basic data regarding the possible range of unit cost has been used, when the unit sale price of the developed insulation plate was not yet calculated [7].
Conclusion The results of analyzing the energy consumption reduction effect as above, displayed a heating load reduction of 7.3% with the application of the developed insulation panel that has the same width as regulated by architectural standards.
However, only a reduction in carbon dioxide emissions occurred in the material production phase for Case 3, and there was no carbon reduction during operation.

The algorithm can be described as follows: Step1: Discretize the sample data of intrusion detection.
Step2: Compute the kernel feature of the sample data.
Simulation Results There are a total of five million samples in the KDD99 data sets.
The sample data is firstly discretized and the decision table is obtained.
So the KPCA method can effectively reduce the dimension of the input data, while the main information is reserved.

The preparation method for trimetallic alloy catalysts on NrGO was NaBH4 reduction.
The composition of catalysts could be confirmed by Energy dispersive spectroscopy (EDS) data and the phase of alloy particles were verified by electron diffraction (SAD) patterns.
Because we believe that the NaBH4 reduction method can improve the dispersion of metal particle and decrease the particle size[20].
The SEM images and EDS data were collected by Field Emission Scanning Electron Microscope (JEOL JSM-6335F).
Shen, Nitrogen-doped Graphene-Supported Transition-metals Carbide Electrocatalysts for Oxygen Reduction Reaction, Scientific Reports, 5 (2015) 10389