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Online since: May 2014
Authors: Lin Rong Shi, Wei Sun, Jian Min Wu, Hua Zhang, Tao Li, Jing Kao
In order to optimize vibration digging shovel’s drag reduction performance parameter, building the regression model of traction resistance between vibration frequency and amplitude, penetrating angle and the traction rate based on the vibration reduction simulation experiment results, moreover, it is optimized.
Domestic and foreign related research on this technology is mostly based on theoretical mechanics modeling and experimental research, simulation study on vibration drag reduction technology is less.
The data were processed by Design-Expert analysis.
Building regression model Application Design-Expert software on traction resistance data (Table 2) are analyzed, getting the code representation of the traction resistance of distribution coefficient Y of 2 regression model: Y=1464.00+19.17X1+30.00X2+6.67X3+10.83X4+10.00X1X2-2.50X1X3-5.00X1X4- 7.50X2X3-7.50X2X4+5.00X3X4+15.50X12+19.25X22+114.25X32+15.50X42 (1) According to the size of regression coefficient of each model factor, the available sequence the influencing factors: the vibration frequency X3, vibration amplitude X2, traction rate X1, penetrations angle X4.
[5] Qiu Lichun: Bulk Subsoiler System Dynamic Model and Study of Drag Reduction and Energy Saving (Ph.D., Shenyang Agricultural Uinversity, China, 1998)
Domestic and foreign related research on this technology is mostly based on theoretical mechanics modeling and experimental research, simulation study on vibration drag reduction technology is less.
The data were processed by Design-Expert analysis.
Building regression model Application Design-Expert software on traction resistance data (Table 2) are analyzed, getting the code representation of the traction resistance of distribution coefficient Y of 2 regression model: Y=1464.00+19.17X1+30.00X2+6.67X3+10.83X4+10.00X1X2-2.50X1X3-5.00X1X4- 7.50X2X3-7.50X2X4+5.00X3X4+15.50X12+19.25X22+114.25X32+15.50X42 (1) According to the size of regression coefficient of each model factor, the available sequence the influencing factors: the vibration frequency X3, vibration amplitude X2, traction rate X1, penetrations angle X4.
[5] Qiu Lichun: Bulk Subsoiler System Dynamic Model and Study of Drag Reduction and Energy Saving (Ph.D., Shenyang Agricultural Uinversity, China, 1998)
Online since: September 2013
Authors: Johny Wahyuadi Soedarsono, Rianti Dewi Sulamet-Ariobimo, Andre Yosi, Eko Mulia Putra, M. Amryl Asy'ari, Adji Kawigraha
The results show that the reduction could not complete.
However that reduction process has not completed yet.
The size do not affect clearly on reduction process.
In this experiment the influence of ore size are not seen clearly due to lack of XRD spectra data for each ore size before roasting.
The reduction occurs after dehydroxylation complete.
However that reduction process has not completed yet.
The size do not affect clearly on reduction process.
In this experiment the influence of ore size are not seen clearly due to lack of XRD spectra data for each ore size before roasting.
The reduction occurs after dehydroxylation complete.
Online since: November 2013
Authors: Guo Dong Liu, Shan Shan Gong, Qi Sun, Cheng Jun Wang
On the basis of 1H and 13C NMR and mass spectroscopy characterization data, the less polar product was determined as 2-phenylbenzothiazole (4) and the more polar product was identified as S-2-(benzamido)phenylbenzothioate (5).
The less polar 2-phenylbenzothiazole (4) was easily identified based on the standard sample and NMR data.
The mass spectroscopic data confirmed that the molecular weight of 5 was 336.0, suggesting that an extra benzoyl group was attached to the molecule.
On the basis of both NMR and MS data, the more polar product was identified as S-2-(benzamido)phenylbenzothioate (5).
Proposed reaction paths upon reduction of bis(2-(benzoylamino)phenyl)disulfide (3).
The less polar 2-phenylbenzothiazole (4) was easily identified based on the standard sample and NMR data.
The mass spectroscopic data confirmed that the molecular weight of 5 was 336.0, suggesting that an extra benzoyl group was attached to the molecule.
On the basis of both NMR and MS data, the more polar product was identified as S-2-(benzamido)phenylbenzothioate (5).
Proposed reaction paths upon reduction of bis(2-(benzoylamino)phenyl)disulfide (3).
Online since: May 2009
Authors: R.M. Gargarello, D. Di Gregorio, H. Huck, J. Fernandez Niello, G. Curutchet
Aerobic reduction of uranium(VI) by Acidithiobacillus thiooxidans
cultures
R.M.Gargarello1,2a, D.
Results so far obtained may suggest an indirect uranium reduction, mediated by metabolically produced reducing compounds.
This data is also supported by the fact that an alkaline pH value tends to stabilize reducing compounds, as previously reported by other authors [14] Fig. 1.
As can be seen in Fig. 3, addition of uranium slows down growing rate, but reducing compounds produced in the reaction media are enough for uranium(VI) reduction.
This phenomenon was produced by the so called indirect reduction, mediated by colloidal reducing compounds: polithionates.
Results so far obtained may suggest an indirect uranium reduction, mediated by metabolically produced reducing compounds.
This data is also supported by the fact that an alkaline pH value tends to stabilize reducing compounds, as previously reported by other authors [14] Fig. 1.
As can be seen in Fig. 3, addition of uranium slows down growing rate, but reducing compounds produced in the reaction media are enough for uranium(VI) reduction.
This phenomenon was produced by the so called indirect reduction, mediated by colloidal reducing compounds: polithionates.
Online since: September 2013
Authors: Ping Wang, Jie Ling Xiao, Zhi Peng Hu, Ting Lin Liu
Considering the urban internal environment, a higher request is put forward on vibration and noise reduction.
Establishing the rail model based on these date and calculating the critical temperature that make the lateral instability of the rail Background As the development of modern society, the shortage of resources and environmental problems have gradually become the key factors that restricting economic and social development .Therefore,the problem of how to utilize the recyclling waste material rationally has become a hot issue.The data shows that the waste tires has reached hundreds of millions of tons over the world each year and is increasing at a rapid pace.
Research on the noise reduction performance of new granular material The test aims to get the noise attenuation of the rail when add new particle damping materials under different vertical excitation.While the new particles is gained from the waste tires.The size of the particle is 3mm and 5mm,which is getted by special process.The vertical excitation is imitated by a hammer with a cetrain quality.In the test,the hammer is free dropped from different height.In order to obtain a more accurate test data,the drop height of free fall respectively take 20cm,40cm and 60cm and the receiving signals of acoustic sensors are layed around the source radius of 60cm,120cm and 180cm,as is shown in fig.1.
(2)The noise reduction value will be reduced as the increase of the distance between the sites and vibration source
Reaserch about Wheel-rail Noise Reduction Technology on speedup train[J].Noise and Vibration Control, 2007,27(1):68-73.
Establishing the rail model based on these date and calculating the critical temperature that make the lateral instability of the rail Background As the development of modern society, the shortage of resources and environmental problems have gradually become the key factors that restricting economic and social development .Therefore,the problem of how to utilize the recyclling waste material rationally has become a hot issue.The data shows that the waste tires has reached hundreds of millions of tons over the world each year and is increasing at a rapid pace.
Research on the noise reduction performance of new granular material The test aims to get the noise attenuation of the rail when add new particle damping materials under different vertical excitation.While the new particles is gained from the waste tires.The size of the particle is 3mm and 5mm,which is getted by special process.The vertical excitation is imitated by a hammer with a cetrain quality.In the test,the hammer is free dropped from different height.In order to obtain a more accurate test data,the drop height of free fall respectively take 20cm,40cm and 60cm and the receiving signals of acoustic sensors are layed around the source radius of 60cm,120cm and 180cm,as is shown in fig.1.
(2)The noise reduction value will be reduced as the increase of the distance between the sites and vibration source
Reaserch about Wheel-rail Noise Reduction Technology on speedup train[J].Noise and Vibration Control, 2007,27(1):68-73.
Online since: October 2011
Authors: Hayder A. Abdulbari, Zulkafli Bin Hassan, Rosli Bin Mohd Yunus, Wafaa Kamil Mahmood, C Hooi
The experimental set up comprises of one open-ended reservoir tank, a smooth pipe (to eliminate the error associated with the quality of holes formed in a grooved surface), pump and valves, flow meter and pressure sensors, and data logger (Model No. 34000, Data acquisition unit).
The results were used as the point of reference for data analysis of Drag Reduction Percentage (Dr %).
Desired flow rate value was set by controlling it from the valve and the steady state pressure drop data across 1.5m of pipe were recorded.
Reynolds Numbers (Re) were calculated using the data observed from the experimental work (volumetric flow rate, Q).
As data taken from the experimental data, it has been shown from Fig. 6 that a flat geometry gives the most effective on drag reduction.
The results were used as the point of reference for data analysis of Drag Reduction Percentage (Dr %).
Desired flow rate value was set by controlling it from the valve and the steady state pressure drop data across 1.5m of pipe were recorded.
Reynolds Numbers (Re) were calculated using the data observed from the experimental work (volumetric flow rate, Q).
As data taken from the experimental data, it has been shown from Fig. 6 that a flat geometry gives the most effective on drag reduction.
Online since: September 2007
Authors: Ja Ock Cho, Young Mi Park, Sang Whan Han
Many researchers attempted to evaluate reduction factors for lateral stiffness in order to reflect
stiffness reduction effect on slab analysis.
Stiffness Reduction Factor for Flat Plate Slab Variable for Stiffness Reduction.
To propose the stiffness reduction factor, this study analyzed the variables having an effect on stiffness reduction in the prior test results of slab-column connection.
Proposal of Stiffness Reduction Factor.
Fig. 2(a) and (b) show similar tendency for stiffness reduction, but Fig. 2(b) is displays minimum data dispersion.
Stiffness Reduction Factor for Flat Plate Slab Variable for Stiffness Reduction.
To propose the stiffness reduction factor, this study analyzed the variables having an effect on stiffness reduction in the prior test results of slab-column connection.
Proposal of Stiffness Reduction Factor.
Fig. 2(a) and (b) show similar tendency for stiffness reduction, but Fig. 2(b) is displays minimum data dispersion.
Online since: November 2013
Authors: Qian Cong, Ji Yue Wang
Hope to get the concave bionic needle which has the best drag reduction effect.
Fig.2 The test device of syringe needle puncture drag test In Fig.2: a -- Setting mechanism of fixture, b – Fixture of simulation skin, c – Simulation skin, d – Syringe needle, e – Transmitter with the pressure measuring element, f –Measuring amplifier, g –Data processing and display unit.
In another word, the bionic needles had drag reduction effects.
The drag reduction mechanism is the same.
Conclusions 1) The concave bionic needles have drag reduction effect.
Fig.2 The test device of syringe needle puncture drag test In Fig.2: a -- Setting mechanism of fixture, b – Fixture of simulation skin, c – Simulation skin, d – Syringe needle, e – Transmitter with the pressure measuring element, f –Measuring amplifier, g –Data processing and display unit.
In another word, the bionic needles had drag reduction effects.
The drag reduction mechanism is the same.
Conclusions 1) The concave bionic needles have drag reduction effect.
Online since: November 2012
Authors: Li Fang Wang
The system first pre-treats those collected data, regulates data and builds concept lattice using the minimal set of attributes which are obtained by attribute reduction.
There are discrete data and continuous data in network data.
Network Intrusion Data Intrusion Behavior Data Data Collection And Format Conversion Data Preprocessing Intrusion Detector Data Preprocessing System Alarm Intrusion Detector Data Preprocessing Attribute Selection And Reduction Establishing Concept Lattice and Producing Classification Rules Rule Reduction Intrusion Detector Data Preprocessing Rule Base Fig.1 Intrusion Detection Model Based on Concept Lattice Intrusion Detection Algorithm based on the Concept Lattice According to the intrusion detection model, the implementation algorithm consists of two parts: the generating intrusion detection classification rules algorithm and the perfecting intrusion detection rules model algorithm.
KDD Cup 1999 includes all kinds of normal data and attacking data.
And attribute reduction deletes redundant information in feature data and effectively reduces the problem dimension.
There are discrete data and continuous data in network data.
Network Intrusion Data Intrusion Behavior Data Data Collection And Format Conversion Data Preprocessing Intrusion Detector Data Preprocessing System Alarm Intrusion Detector Data Preprocessing Attribute Selection And Reduction Establishing Concept Lattice and Producing Classification Rules Rule Reduction Intrusion Detector Data Preprocessing Rule Base Fig.1 Intrusion Detection Model Based on Concept Lattice Intrusion Detection Algorithm based on the Concept Lattice According to the intrusion detection model, the implementation algorithm consists of two parts: the generating intrusion detection classification rules algorithm and the perfecting intrusion detection rules model algorithm.
KDD Cup 1999 includes all kinds of normal data and attacking data.
And attribute reduction deletes redundant information in feature data and effectively reduces the problem dimension.
Online since: May 2011
Authors: Yong Mao Wang
LFDA can preserve both manifold of data and discriminant information.
Dimensionality reduction is the transformation of high-dimensional data into a meaningful representation of reduced dimensionality.
In addition, LPP can only preserve the manifold of data and lose the discriminant information because LPP is an unsupervised dimensionality reduction algorithm.
Dimensionality reduction is performed to solve the problem of dimensionality curse which arises by high dimensional data at the stage of feature extraction.
[9] Masashi Sugiyama: Dimensionality Reduction of Multimodal Labeled Data by Local Fisher Discriminant Analysis.
Dimensionality reduction is the transformation of high-dimensional data into a meaningful representation of reduced dimensionality.
In addition, LPP can only preserve the manifold of data and lose the discriminant information because LPP is an unsupervised dimensionality reduction algorithm.
Dimensionality reduction is performed to solve the problem of dimensionality curse which arises by high dimensional data at the stage of feature extraction.
[9] Masashi Sugiyama: Dimensionality Reduction of Multimodal Labeled Data by Local Fisher Discriminant Analysis.