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Online since: February 2013
Authors: Guang Yue Xu
But, [8] verifies the non-existence of the energy the environmental Kuznets curve by using the world's total energy consumption and GDP data of 113 countries.
Due to the missing of total energy consumption data in  Hunan, therefore, Hunan province relevant data is not listed  in Central region.
Furthermore, in view of the division of  Chongqing from Sichuan in1996, Sichuan and Tibet do not have an associated energy consumption data, therefore, the above three provinces are not included too.
[9] Phu Nguyen-Van.Energy consumption and income: A semiparametric panel data analysis.
An Empirical Study of the Environmental Kuznets Curve for China’s Carbon Emissions——Based on Provincial Panel Data,Vol.9(2011),p.66-76.
Online since: September 2018
Authors: Naeem Ul Haq Tariq, Yin Wang, Hasan bin Awais, Javed Kamran
After making data correction for the background and intensity, the ODF was calculated to recalculate the complete pole figures of each sample using MTEX software.
A 50% reduction was achieved after 9 successive passes while the 75% reduction was achieved after 13 passes.
The 90% reduction was accomplished in a further two steps.
The evidence of RX was observed for alloy-2 to 3 at 50% reduction while for alloy-4 it only appeared after 75% reduction.
SEM/EDX analysis was employed to obtain more data about the second phase particles in alloy-4.
Online since: February 2014
Authors: Hong Wen Yang, Da Cheng Yang, Min Wei
In this paper, we compare the maximum achievable data rate, i.e. the Shannon capacity, of DFT-S-OFDM and OFDM under Rayleigh and with clipping.
It is well known that the achievable data rate of any practical system is upper bounded by the Shannon capacity.
Our results show that, in case of Gaussian data symbols, OFDM outperforms DFT-S OFDM.
The channel capacity is given by (5) where is the signal-to-noise ratio of data symbol si.
Multicarrier modulation for data transmission: An idea whose time has come, IEEE Communication Magazine, May 1990
Online since: February 2012
Authors: Ze Guo Qiu
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].
Online since: September 2013
Authors: Xue Hong Zhang, Tong Bin Chen, Jun Chen, Nian Hong
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.
Online since: June 2014
Authors: K. Vijaya Kumar, V. Durga Praveena
Also the data was clarified that the CS molecules coordinate to the surface of Nano-Ag particles through their head-groups.
Thus, during the last few years, synthesis of nanoparticles is of a great interest and many methods have been developed to prepare silver nano materials e.g., chemical reduction, photochemical method, ultrasonic-assisted reduction, electrochemical method, template, irradiating reduction and biochemical method.
The main mechanism considered for the process is plant assisted reduction due to phytochemicals.
Fig. 1, FT-IR spectra of AgNPs (a) Chemical film, (b) Green film 3.2 UV-VIS spectroscopy UV-visible spectroscopic data of Each sample was analyzed by UV-visible spectrophotometer in the range 250-750 nm and the wavelength corresponding to maximum absorption ( λmax ) was recorded which are identical to the characteristics UV-visible spectrum of metallic silver nano particles. chitosan in 1% (v/v) acetic acid solutions is used as blank sample.
From the data in Tab. 1, reveal that the silver nanoparticles synthesized via green route are highly toxic to multidrug resistant bacteria hence has a great potential in biomedical applications.
Online since: November 2012
Authors: Andrew S. Ross, Ayman M. El Ansary, Ashraf El Damatty
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.”
Online since: September 2017
Authors: A.V. Senin, D.L. Zhuravlev, A.V. Ivanov
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.
Online since: September 2013
Authors: Xian Min Ma
Therefore data sets are usually given in the table form, and this data table is called an information system.
It completes with Data Aware Component.
Thus, it is more convenient to store and query patient data from database.
All the patients’ data are stored into the database.
In our project, we get curve from the Teechart control to analyze patients’ testing data.
Online since: January 2015
Authors: Ji Guang Jiang, Yue Zeng
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.
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