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For example, a study conducted by Li[1] has applied wavelet transform to decomposition, noise reduction and reconstruction in a set of traffic flow time series collected from several detectors in signalized related intersections group.
Thus, situations occur where traffic arrives at the downstream randomly, contributing to the reduction of coordination control and adjacent intersection correlations.
The detailed field data collection efforts was performed on four adjacent intersections in the city of Chuzhou to collect data on signal timing, volumes of different movements, geometric properties and platoon characteristics.
Simulation Evaluation The field and simulation data were used along with guideline elements to determine where interconnection of a series of isolated signal is desired.
The field and simulation data collected were used to verify the guidelines established to evaluate whether signal interconnection is helpful in improving traffic operation through isolated intersections.

The obtained data complies with the literature [20, 21].
Consequently, the data mentioned above confirms the successful oxidation of graphite forming the GO.
The XRD data was obtained to identify the crystalline structure for graphene oxide material (figure 3a) and the interlayer spacing between layers.
The data displayed a sharp peak at 2θ= 9.7° representing (001) plane [22, 23].
An environmentally friendly and efficient route for the reduction of graphene oxide by aluminum powder.

A characteristic capillary curve of the material pc=pc(Sl) is implemented as input data for the model. pc(Sl) is inferred from the experimental determination of the desorption-adsorption isotherms of the material [9] .
This fact will undoubtedly facilitate the transport of liquid in spite of the reduction in total porosity.
The numerical results are compared to the experimental data, as been shown in Fig.5.
As expected, the prediction of the weight loss kinetics by using the CA model is closer to experimental data compared to the NC case.
However, disparity still exists between the predictive profile and the experiment data.

It includes the regular collection and analysis of data to assist timely decision-making, ensure accountability and provide the basis for evaluations and learning.
They provide evidence that the data is accurate and precise enough to address the questions being asked.
Condition monitoring measures the health of a machine by routine monitoring and analysis of data.
It main objectives is to improve system reliability and availability, product quality, security, best programming of maintenance actions, reduction of direct maintenance costs, reduction of energy consumption and meeting standards.
For measuring the energy of the ultrasound; the detector should have digital measurement capability to store digital measurements to a chip embedded memory and then transmit the data to PC software.

The results revealed that the bi-linear thermomechanical model overestimates the experimental data under both in-phase and out-of-phase conditions in the temperature range of 350-500 o C and it was due to the enhanced dynamic recovery effect.
The relation between flow stress (f) and fE is defined as Eq. 1: EfEf 111 −= (1) 0.0 0.2 0.4 0.6 0.8 1.0 1.2 0 100 200 300 400 Stress (MPa) Strain (%) 3mm/min RT 200 o C 300 o C 400 o C 500 o C 600 o C 700 o C 800 o C 0.0 0.2 0.4 0.6 0.8 1.0 1.2 0 100 200 300 400 20 o C 800 o C 700o C 600o C 500o C 400o C 300o C Stress(MPa) Strain (%) 200o C (a) (b) Fig. 4 Stress-strain curve at various temperatures: (a) experimental data, (b) bi-linear model.
Fig. 8 shows the comparison between the prediction by the proposed model and experimental data at 400 o C.
Figs. 9-10 show the relation between the experimental data and the bi-linear model of TMF.
In result, dynamic recovery becomes important over 550 o C and leads to the reduction in cyclic hardening.

The fault features reading from experimental data analysis are clear, accurate and intuitionistic, meantime, the validity and accuracy of WVD method proposed are nice from the experimental results.
As the data size of the experimental signal is very large, the envelope signal of the experimental signal is studied.
WVD of reduction of interference terms and noises Fig.3.
WVD of the experimental AE signal after picking out trend items In the course of AE testing, the data of AE signals usually deviate the baseline, so much so that the size of side-play amount will be also vary with time.
The whole course that data deviates baseline varying with time is called trend item of signals.

This numerical approach has been validated through comparison between the calculation SIF results and available experimental data of a typical test panel with a longitudinal crack.
These goals will be achieved by (i) significant reductions in airframe weight leading to lower fuel consumption and a decreased impact on the environment and (ii) improving efficiency by using new, high potential materials, design methods, manufacturing techniques and assembly processes on key primary airframe elements.
The boundary condition data transfer between different stage models are very complicated and time consuming.
The large mount of work must be done to make the accurate data transfer.
While presenting some of the experimental data, this paper primarily describes the development and application of substructure computational analysis techniques to determine stress intensity factors for the damaged panels subjected to fatigue pressure.

The experimental data was conducted under various excessive air coefficient conditions using an electronic ignition system developed self-dependently.
In-cylinder pressure data were acquired by a Kistler 6117BFD piezoelectric high pressure transducer which was integrated with the spark plug.
test engine specification Item Value Displacement volume 1.012L Compression ratio 8.8 Bore 65.5mm Stoke 74mm Rating power 39kW(5300r/min) Rating torque 78N.m were divided into two parts that in-cylinder pressure data were acquired and the emissions were measured.
In experiments of in-cylinder pressure data, the throttle opening was fixed at 20% and excessive air ratio Фa was kept at 1.1, 1.2, 1.3 and 1.4.
The increase of Фa results in the reduction of natural gas proportion in the combustion chamber.

Seven thousand sets of data consisting of mechanical properties, chemical compositions, and rolling parameters of industrial hot-rolled coils were analysed using multiple regression.
Experimental procedure In this study, the 7105 sets of data consisting of mechanical properties, chemical compositions, and rolling parameters were collected from the hot strip mill.
Input Data Estimate intercept and coefficients of model Calculate statistical significance Perform analysis of variance Evaluate model adequacy Accept or disqualify the model Least square method T-Test method F-Test method 1.
From the data taken for this study, THK was in the range from 0.9 to 19.0 mm.
Acknowledgement The authors acknowledge Sahaviriya Steel Industries (SSI) public company limited for granting Noppon Jiratthanakul a scholarship to pursue the master study in metallurgy at TGGS, KMUTNB, as well as for providing data for his thesis, which the present work is a part of.

Pilot scale Study on Advanced Treatment of Coking Wastewater with Biological Activated Carbon Technology Jin Li1,2,a , Guanghua Wang1,2,b , Wenbing Li1,2, Zheng Zhu1,2 and Yinan Zhu1,2 1College of Chemical Engineering and Technology, Wuhan University of Science and Technology, Wuhan 430081, China 2Hubei Key Laboratory of Coal Conversion and New Carbon Materials,Wuhan 430081,china alijin20091988@163.com ,bwghuah@21cn.com Keywords: Pilot Scale Test, Biological Activated Carbon Aerated Tower, Efficient Degrading Strains, Coking Wastewater Abstract: This paper reports about a pilot-scale feasibility study of Advanced Treatment of Coking Wastewater with Biological Activated Carbon technology based on the better experimental data of laboratory scale test .The self-designed of the Biological Activated Carbon Aerated tower was based on the optimal operating conditions of the results obtained from laboratory scale test.The removal efficiency to pollutants of efficient compound
Data were collected using the GC/MS analysis software, and analyzed using a NIST library[7].
A B Fig.2 Scanning electron micrographs of pellets of carbon COD andChromaticity Removal by BAC.COD and Chromaticity removal data were estimated as concentrations at the inlet and outlet of the Biological Activated Carbon Aerated tower and removal ratio.
With the operation time increased, the adsorption sites of activated carbon were saturated gradually, leading to the reduction of the COD removal rate.In the middle and later periods of the running, concentration of COD in effluent water gradually reduced and eventually maintained in at a relative stable level.As efficient compound bacterium begun to adapt to the wastewater environment and play a strong role in degradation of hard-biodegradable organics, During the steady period , the average COD removal rate of the BAC tower greater than 50%, while the average COD concentration in outflow water was less than 60 mg/L.
Thus, Pilot scale Study on Advanced Treatment of Coking Wastewater with Biological Activated Carbon Technology provides reliable evidence and data for large-scale industrial applications of BAC technology.