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Online since: June 2014
Authors: Lian Peng Sun, Wu Zhen Guo, Ting Jin Ye, Li Li Chen
The MOSA provided a good method to optimize the operating of OSA process, and gain a more sludge reduction.
Because of the better effect of sludge reduction, the less excess sludge is produced while the OSA system is used [5, 6].
The observed yield was determined over a given range of operation as the MLSS increased/COD used, using all the data over the range of operation for which the yield was calculated.
The fundamental purpose of MOSA is achieving sludge reduction while it removes pollutants efficiently.
If this modified OSA process could be applied to engineering practice to play such a significant reduction effect, it would have important environmental and economic benefits
Because of the better effect of sludge reduction, the less excess sludge is produced while the OSA system is used [5, 6].
The observed yield was determined over a given range of operation as the MLSS increased/COD used, using all the data over the range of operation for which the yield was calculated.
The fundamental purpose of MOSA is achieving sludge reduction while it removes pollutants efficiently.
If this modified OSA process could be applied to engineering practice to play such a significant reduction effect, it would have important environmental and economic benefits
Online since: October 2011
Authors: Cui Cui Qin, Li Hua Zhao
Assessing the energy saving of natural ventilation is difficult, especially for large scale naturally ventilated buildings, due to the lack of deterministic data and method.
However, there is not still deterministic data and method about the energy saving effect of natural ventilation in residential building.
The wind speed and direction data in ESTPNV in TMY [5] were obtained for the ventilation environment simulation of rooms with the PHOENICS software.
Rate of Cooling Loads Reduction.
The meteorological data for thermal environment analysis in China.
However, there is not still deterministic data and method about the energy saving effect of natural ventilation in residential building.
The wind speed and direction data in ESTPNV in TMY [5] were obtained for the ventilation environment simulation of rooms with the PHOENICS software.
Rate of Cooling Loads Reduction.
The meteorological data for thermal environment analysis in China.
Online since: July 2007
Authors: Susan T.L. Harrison, Oluwaseun O. Oyekola, Robert P. van Hille
A
corresponding increase in the volumetric sulphate reduction rate with increasing volumetric loading
rate was also observed at this range.
These restriction enzymes were selected such that specific enzymes generated unique DNA fragment banding patterns for each species selected, using sequence data available in the database of the DNAMAN for Windows program, Version 4.13 (1994-1999) [10].
This is accompanied by an increase in the volumetric sulphate reduction rate as the initial sulphate concentration increased from 1.0-10.0 g/L (Fig. 1b).
The link between bacterial population dynamics and the kinetics of sulphate reduction is demonstrated (Figs. 1a and 1b).
Relationship between biological sulphate reduction (BSR) kinetics and sulphate reducing bacteria (SRB) dynamics.
These restriction enzymes were selected such that specific enzymes generated unique DNA fragment banding patterns for each species selected, using sequence data available in the database of the DNAMAN for Windows program, Version 4.13 (1994-1999) [10].
This is accompanied by an increase in the volumetric sulphate reduction rate as the initial sulphate concentration increased from 1.0-10.0 g/L (Fig. 1b).
The link between bacterial population dynamics and the kinetics of sulphate reduction is demonstrated (Figs. 1a and 1b).
Relationship between biological sulphate reduction (BSR) kinetics and sulphate reducing bacteria (SRB) dynamics.
Online since: October 2014
Authors: Jie Cai
The point cloud data should be preprocessed with noise rejection, multi-view stitching and data reduction by Geomagic Studio software.
After that, the model surface data should be converted into Solidworks parts.
Data measurement A three-dimensional 3D human model point cloud data can be gotten by using point cloud data acquisition software for measurement work and parsing the collected two-dimensional images.
Interpolation refers to a given set of data points which are known, and then construct a curve connecting the data points in order.
Data.
After that, the model surface data should be converted into Solidworks parts.
Data measurement A three-dimensional 3D human model point cloud data can be gotten by using point cloud data acquisition software for measurement work and parsing the collected two-dimensional images.
Interpolation refers to a given set of data points which are known, and then construct a curve connecting the data points in order.
Data.
Online since: January 2013
Authors: Yu Shu Liu, Ming Yan Jiang
So speckle reduction is an important pre-processing step in the ultrasound image feature extraction and analysis.
Various methods have been employed in the literature for the speckle reduction.
Transform the multiplicative noise model into an additive model by taking the logarithm of the original specked data. 2).
As the chart shows, our algorithm is better than the other method in noise reduction and detail preservation.
Saxena, Wavelet-based statistical approach for speckle reduction in medical ultrasound images, Med.
Various methods have been employed in the literature for the speckle reduction.
Transform the multiplicative noise model into an additive model by taking the logarithm of the original specked data. 2).
As the chart shows, our algorithm is better than the other method in noise reduction and detail preservation.
Saxena, Wavelet-based statistical approach for speckle reduction in medical ultrasound images, Med.
Online since: August 2013
Authors: Seung Jo Lee, Jung Min Park
The mechanical properties measured include residual compressive strength, weight reduction ratio, outward appearance property, and failure mode.
Accordingly, this study, on the basis of the preceding research results [4], conducted an experiment with the aim of providing the basic data for commercialization and behavior under a fire of HPC by manufacturing HPC which produces crack control, strength enhancement, and ductile effect in a mixture of GA, Nylon, Polypropylene, and Steel Fiber.
The GA-Ny-01 and GA-SF-03 specimens showed the same level of weight reduction ratio up to 150oC, but from above 150oC, they showed a rapid reduction ratio as heating time got longer.
GA-Ny-01 showed 8.3% reduction ratio at 500oC, and then inflection-type Fig. 4 Experimental curves of weight reduction Fig. 5 Residual compressive strength versus ratio versus heating temperature heating temperature Table 4 Outward appearance property Specimens 100oC 150oC 250oC 400oC 500oC 600oC 800oC GA-Ny-01 GA-PP-02 GA-SF-03 reduction ratio with declining weight reduction ratio.
In addition, GA-PP-02 showed 0.9% weight reduction ratio at 250oC which is not a big change in comparison with other specimens; in addition, it showed a sharp reduction ratio after showing 3.5% reduction ration at 250oC.
Accordingly, this study, on the basis of the preceding research results [4], conducted an experiment with the aim of providing the basic data for commercialization and behavior under a fire of HPC by manufacturing HPC which produces crack control, strength enhancement, and ductile effect in a mixture of GA, Nylon, Polypropylene, and Steel Fiber.
The GA-Ny-01 and GA-SF-03 specimens showed the same level of weight reduction ratio up to 150oC, but from above 150oC, they showed a rapid reduction ratio as heating time got longer.
GA-Ny-01 showed 8.3% reduction ratio at 500oC, and then inflection-type Fig. 4 Experimental curves of weight reduction Fig. 5 Residual compressive strength versus ratio versus heating temperature heating temperature Table 4 Outward appearance property Specimens 100oC 150oC 250oC 400oC 500oC 600oC 800oC GA-Ny-01 GA-PP-02 GA-SF-03 reduction ratio with declining weight reduction ratio.
In addition, GA-PP-02 showed 0.9% weight reduction ratio at 250oC which is not a big change in comparison with other specimens; in addition, it showed a sharp reduction ratio after showing 3.5% reduction ration at 250oC.
Online since: September 2013
Authors: Zi Xuan Zhong, Xi Jia Li, Kun Yang, Ding Yong Wang
The transformation of Hg(II) has two competitive reaction pathways—methylation and reduction [5].
Hg(II) (10 ng L-1) in HgCl2 solution with 0, 0.5, 2, 10, 20 mg SO42- L-1 Na2SO4 solution spiked in it respectively was exposed to simulated natural light for 120 min in each experiment and data was collected at every second and mean was calculated at every 5 s.
Reduction of oxidized mercury species by dicarboxylic acids (C2–C4): kinetic and product studies.
Abiotic reduction of mercury by humic substances in aquatic system-an important process for the mercury cycle.
Factors influencing the oxidation, reduction, methylation and demethylation of mercury species in coastal waters.
Hg(II) (10 ng L-1) in HgCl2 solution with 0, 0.5, 2, 10, 20 mg SO42- L-1 Na2SO4 solution spiked in it respectively was exposed to simulated natural light for 120 min in each experiment and data was collected at every second and mean was calculated at every 5 s.
Reduction of oxidized mercury species by dicarboxylic acids (C2–C4): kinetic and product studies.
Abiotic reduction of mercury by humic substances in aquatic system-an important process for the mercury cycle.
Factors influencing the oxidation, reduction, methylation and demethylation of mercury species in coastal waters.
Online since: November 2013
Authors: Xu Qian Li, Wei Gang Zhang, Shu Ya Gao, Hai Peng Qiu, Yu Wang, Ruo Gu Wang, Ming Wei Chen, Jian Jiao
ZrB2 crystals are obtained completely by the carbothermal reduction process with the release of carbon dioxide at 1500°C.
All the FTIR data were consistent with the standard spectrum of methylamine.
In addition, MS was used to investigate the pyrolysis process of ZrB2 precursor and the MS data were shown as follows: m/z=30 and 31(methylamine), m/z = 16 (methane).
According to the FTIR and MS data as shown in Fig. 2 and Fig. 3, the maximum value of weight loss at 110°C was mainly caused by the release of a large amount of methylamine and some methane.
FTIR and MS data were shown as follows: 670 cm-1, 912 cm-1 (C-H); 1650 cm-1 (C=C); 1710 cm-1 (-C(O)-); 1373 cm-1 (-CH3); 930 cm-1, 964cm-1 (characteristic absorption peak of methylamine); 803 cm-1, 1620 cm-1(NH2); 3014(characteristic absorption peak of methane).; m/z=16(methane), m/z=30 and 31(methylamine), m/z=39, 41 and 42 (propene); m/z=43(acetone).
All the FTIR data were consistent with the standard spectrum of methylamine.
In addition, MS was used to investigate the pyrolysis process of ZrB2 precursor and the MS data were shown as follows: m/z=30 and 31(methylamine), m/z = 16 (methane).
According to the FTIR and MS data as shown in Fig. 2 and Fig. 3, the maximum value of weight loss at 110°C was mainly caused by the release of a large amount of methylamine and some methane.
FTIR and MS data were shown as follows: 670 cm-1, 912 cm-1 (C-H); 1650 cm-1 (C=C); 1710 cm-1 (-C(O)-); 1373 cm-1 (-CH3); 930 cm-1, 964cm-1 (characteristic absorption peak of methylamine); 803 cm-1, 1620 cm-1(NH2); 3014(characteristic absorption peak of methane).; m/z=16(methane), m/z=30 and 31(methylamine), m/z=39, 41 and 42 (propene); m/z=43(acetone).
Online since: November 2012
Authors: Bin Chen, Bao Cheng Gao, Mian Wu, Xiao Bin Cheng, Zhao Li Yan
Given n-dimensional data set containing N data objects {xi, i =1,...., N}.
Input a parameter 0<ε≤0.5 and the n-dimensional target data set containing N data objects, {xi, i =1,...., N}
Record the maximums and minimums of the target data in each dimension, and then normalize the target data
To a data set containing n objects, we scan every data only one time to divide the target space, and the time complexity is O(n).
The algorithm simplifies the training data set by dividing the target data set space with STING technology.
Input a parameter 0<ε≤0.5 and the n-dimensional target data set containing N data objects, {xi, i =1,...., N}
Record the maximums and minimums of the target data in each dimension, and then normalize the target data
To a data set containing n objects, we scan every data only one time to divide the target space, and the time complexity is O(n).
The algorithm simplifies the training data set by dividing the target data set space with STING technology.
Online since: September 2017
Authors: A.A. Kravchenko, V.T. Fomichev, D.I. Dyachenko
Data on physicochemical parameters of the choline chloride-urea system are provided in work [15].
This data allows predicting MV2+ behavior as mediator for the cobalt electrolyte.
The data obtained after potentiostatic reduction at -0.8 V (potential of methylviologen reduction) are presented in fig. 4.
Difference between peaks c and d is approximately 150 mV that is in good agreement with data obtained above via investigation of cobalt reduction process.
These data allows concluding that in the system containing cobalt sulfate and methylviologen dichloride reduction of cobalt is carried out in electrode region at potential of methylviologen reduction.
This data allows predicting MV2+ behavior as mediator for the cobalt electrolyte.
The data obtained after potentiostatic reduction at -0.8 V (potential of methylviologen reduction) are presented in fig. 4.
Difference between peaks c and d is approximately 150 mV that is in good agreement with data obtained above via investigation of cobalt reduction process.
These data allows concluding that in the system containing cobalt sulfate and methylviologen dichloride reduction of cobalt is carried out in electrode region at potential of methylviologen reduction.