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Online since: October 2012
Authors: Ming Gu, De Qian Zheng, Ai She Zhang, Yong Quan, Shuo Wang
The joint probability distribution of the local wind speed and direction information was obtained using the raw meteorological data.
By CFD numerical simulation, the ratio (rM) of the measuring point wind speed (Uz) to the standard wind speed in meteorological data (U10) can be obtained.
In this study, according to the meteorological data, sixteen wind directions are used.
To make the results representative, according to wind speed data provided by the meteorological data [9], the exceeding probability of wind speed of 5m/s is around 10%.
[9] Thermal environment dedicated meteorological data sets, China Building Industry Press (2005).
Online since: March 2011
Authors: Xiao Long Yang, Kai Yao Hu, Tie Ping Lin, Jia Yang
In order to compare with the experimental data, here the flow speed is also set to 60km/h.
The result is shown in the table 2, which also includes the experiment data for comparison.
The DES result is smaller than the experimental data, but more close to the experimental data.
Compared to the experiment data, the relative errors of RANS and DES are 9.75% and -5.1% respectively.
There is no big difference between RANS and DES, although DES gets a little more accurate result, such as Cd coefficient, compared to experimental data.
Online since: October 2014
Authors: C.R. Gilbert
However this does not explain the decrease in weld metal hardness as the recorded data infers in clearly identical welding conditions.
However, the microhardness data of the weld profiles shows indicates the relative aluminium hardnesses.
Hardness data collected for laser weld figure 5(f) collates interestingly.
Without measuring weld cooling rates, the hardness data infers that slower cooling results in higher microhardness.
However, as the data indicates, post-welding ageing takes place and the weld metal softens in the majority of cases.
Online since: September 2015
Authors: Mohd Zalisham Jali, Ezeddin Sanam, M.S. Jawad, Abadal Salam T. Hussain, Kamaruzzaman Seman
In this paper, the focus will be on securing the communication channel between tags and readers at the physical layer, rather than to secure the contents of RFIDs data by encryption.
In this paper, we will try to investigate, and explore other alternative to secure the communications channel itself directly, rather than applying encryption algorithms on the data, and then send the content of encrypted information; this will allow us to apply the security at the physical layer of the communication model, rather than data-link layer.
The good advantages of applying this security scheme are significant hardware complexity reduction, improved signal latency and speed up the tag response.
System Architecture and Data Transmission Time hopping can be used in communication for multiple access purpose.
Another advantage shown is that , this technology can generate highly flexible data rate transmitted pulses.
Online since: August 2013
Authors: Lei Huang, Yu Bin Wang, Jian Cao
According to the rising requirement for energy saving and emission reduction, forest biomass power generation will be the important way to reduce CO2 emission in the future.
This article extracts basic data from forest biomass direct-fired power generation projects of Naiman Banner in Inner Mongolia, and the environmental cost incurred during the power generation process is calculated.
According to the data information from the demonstration project of forest biomass power generating station,its main pollutants emission situation is reflected, as the following Table 3 shows: Table 3 Emission results of ambient air pollutants in the projects Projects Units 2×12MW SO2 Emission (t/h) 0.0328 NOX Emission (t/h) 0.078 Fume Emission (t/h) 0.000267 SO2 Emission Concentration (mg/Nm3 dry flue gas) 253 NOX Emission Concentration (mg/Nm3 dry flue gas) 200 Fume Emission Concentration (mg/Nm3 dry flue gas) 2.1 Data sources: Chinese Forest Biomass Energy Generation Special Research Reports FOR Mid-And-Long Term Plans After the treatment of dust removal system, all emitted pollutants can meet the emission requirements of “emission standards for thermal power plants on atmospheric pollutants”.
Table 4 Emission allowance for ambient air pollutants Projects Units Actual Emission Allowance Proportion(%) SO2 Emission (t/h) 0.0328 1.169 2.8 本 Q SO2 Emission Concentration (mg/Nm3 ) 253 800 31.6 NOX Emission Concentration (mg/Nm3 ) 200 450 44.5 Fume Emission Concentration (mg/Nm3 ) 2.1 200 1.1 Data sources: Chinese Forest Biomass Energy Generation Special Research Reports For Mid-And-Long Term Plans It can be seen from the above table that, all emission concentration data in the demonstration project of forest biomass power generating station can meet the requirements.
Moreover, the emission concentration data of SO2 and fume are far below the allowance, and the emissions are also at low level.
Online since: December 2012
Authors: Yun Zhang, Xin Ke, Ying Sun
By max fixatives into the soil adjusted or changed physical and chemical properties of Cr and produce precipitation adsorption ion-exchange humification and oxidation-reduction series reaction ,situ stabilization is one of treatment methods for physical-chemical, consequently reducing mobility and bioavailability in the soil environment , thereby decreasing the toxicity hazards of Cr elements on plants and animals[5].
Data processing.Data use Sigmaplot 8.0 software for statistical analysis Results and discussion Study on leaching chromium in the soil before and after fixation. 0.00% 20.00% 40.00% 60.00% 80.00% 100.00% Unfixed Fixed Cr residual rate % Cr leaching rate % Fig. 1 The total leaching ratio of Cr before and after fixation Fig.1 illustrates the total leaching ratio of Cr before and after fixation.
MgO produces alkaline environment and strong reduction of Fe2 +SO42-,conducive to Cr (Ⅵ) is converted to Cr (III).
Online since: December 2012
Authors: Tasnim Firdaus Ariff, Nurul Syamira Shafie, Zamzahariah Mahamad Zahir
Nevertheless, reduction of wear rate by 38 to 57% was found from wet machining.
Data were extrapolated (up to maximum flank wear of 0.3 mm), graphs were plotted, tool life for Si3N4 tool was analyzed and optimum cutting conditions were found.
However, for the wet machining, there is a reduction of 0 - 28.5 % and 0 - 12.6 % in tool wear intensity of Si3N4 tool for the lower and higher cutting parameters respectively (Fig. 3).
The data for MRR values can be seen in Table 1.
Online since: December 2016
Authors: Aneta Zatočilová, Tomáš Zikmund, Daniel Koutný, David Paloušek, Jozef Kaiser
Many studies have presented results of porosity measurements made using CT, but no standard methodology for the making of measurements and processing of data currently exists.
The volumetric data processing was carried out in the VG Studio MAX 2.2 software (Volume Graphics GmbH, Germany).
If the volumetric data contains only a very small defects, the histogram has only one peak and the automatic threshold determination fails.
Histogram with bimodal distribution of the intensity values of x-rat volumetric data.
Moreover no standard methodology for the making of measurements and processing of data currently exists.
Online since: October 2014
Authors: Xin Fang Wu, Juan Xu, Xiao Dong Si, Wei Lei, Wen Long Du, Yong Sheng Liu
Net present value (NPV) and the payback time (Pd) as the parameters to determine the profitability of the system based on some actual measured data.
Table 2 Greenhouse gases emission of two systems system The total amount of greenhouse gases emission within its lifespan(kg) Annual output yield (kW˙h) Average amount of greenhouse gases emission within its lifespan (kg/kW˙h) Annual reduction of greenhouse gases emission (kg) GPBT (year) 3kWp 3300 3000 0.84 2520 1.3 10kWp 16376 11001 0.84 9241 0.4 Conclusion This paper mainly analyses a BAPV system of 3kWp and a BIPV system of 10 kWp in Shanghai, China.
The economic benefit and environmental benefit of the two systems are researched based on the actual monitoring data.
Online since: January 2010
Authors: Bo Liu
-Preprocess the data: The data is cleaned and transformed into an appropriate format to be mined.
Data preprocessing allows the original data to be transformed into a suitable shape to be used by a particular data mining algorithm or framework.
This is normally a manual process including a number of general data preprocessing tasks such as data cleaning, user identification, session identification, data transformation and enrichment, data integration, data Database Apply data mining techniques Preprocess data Interpret/Evaluate Figure 1.
Mining CMS data Collect usage data reduction.
Although the amount of work required in data preparation is less, the following tasks also need to be done: Select data: It is necessary to choose much more useful data for mining.
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