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Online since: July 2013
Authors: Bo Lan Liu, Chang Zhen Deng, Yong Gang Sun
The results show that in the upshifting process, active reduction of engine oil control can improve vehicle ride comfort, but the increase by reducing fuel consumption and reduce the reducing time will lead to increase shift smoothness and increase upshift power loss.
Maintain the fuel reduction of the engine in the process of upshift constant (reduced to 10% of the current amount of oil) when researching the influenceof reduction oil time, according to speed difference between of the both ends of the shifting clutch to decide whether supply the normal oil.Because the engine speed corresponding toin each gear shift points is different i.e. the energy released in inertia phase stage is different, it should be studied separately for each stall.
Fig. 3 Simulation curve of 3-4gear upshiftwhen t2 = 0s Simulation select timeof reduce oil t2 = 0s, 0.25s, 0.5s 0-4 gear upshift research.Through the analysis of simulation data shows the influence of reduction oil time to the performance of vehicle as follows:1.
Influence of the amount of oil reduction in upshift process.When study the influence of the amount of oil reduction, maintain the oil reduction time constant during upshift (T2 = 0.5s), according to speed difference between of the both ends of the shifting clutch to decide whether supply the normal oil.
Reduction oil is selected from the current amount of oil 0%, 20%comparison.
Online since: July 2012
Authors: Hua Ying Liang, Hua Wang, Bing Xiang Liu
In past studies,we have accumulated a large amount of data, how to use these data to date identification accurately ?
As S is the Q-independent sub-tribe of P, and , the family is called Q- Reduction of P. 2.
Experimental Table 1 Jingdezhen Yuan, Ming and Qing blue and white porcelain enamel chemical composition data from ref. [2].
Most of the chemical composition data of blue and white porcelain enamel is continuous data in Table One, so the discrete normalized is essential.
The model selected three sets of data in each Yuan, Ming and Qing dynasties Table 2 total of nine sets of data as a probabilistic neural network pre-measured data, the remaining 35 sets of data is training data, the probabilistic neural network input is variables for the network the target is blue and white porcelain the age category.
Online since: September 2013
Authors: Ogbonna F. Joel, Chiudo Ehirim
Data collection/site visit: Primary and secondary data were used in this study.
Secondary data were obtained from documents and publications on the subject of solid waste practice and management.
The field data acquisition was to establish the physical status of each site through visual observations as well as geographic coordinates.
No data on waste stream composition was undertaken in the field.
Waste characterisation data was established by using desktop information.
Online since: January 2009
Authors: Jamil Abdo, Amer Al-Yhmadi
It is connected to a custom PC, that has the capability for both spindle motion control and carriage vertical applied load control, and data acquisition and display unit (monitor).
Experimental design and data collection.
Data is displayed in real time on the monitor.
The analysis is done to extract all the information present in the data, taking account of variability and measurement error.
The analysis of variance (ANOVA) is done on the experimental data to evaluate the statistical significance of the model.
Online since: October 2017
Authors: Christian Sand, Jörg Franke, Florian Renz, Akin Cüneyt Aslanpinar
Moreover, data mining projects depend on the available data bases, while additional data sources may increase the derived knowledge [10].
These ideas are extendable by energy data measurements, besides process and quality data.
In particular, the data base consists of process and quality data, enriched by energy data measurements.
Here, three different data types are used to store energy, process and quality data: single data points, characteristic curves from processes and quality measurements, as well as energy data.
The reduction of the reaction time in assembly lines with huge amounts of data is a necessary step for companies to keep their competitiveness.
Online since: June 2014
Authors: Nor Azwadi Che Sidik, Nasir S. Hassen, Jamaluddin Md Sheriff
Effect of Nozzle Angleson Spray Losses Reduction Nasir S.
The nozzle angle 65° gave the highest drift reduction compared to the other nozzle angles.
The number of variables involved in any field studies makes data interpretation difficult, so wind tunnel studies have been advocated to characterize the effect of operating parameters on the risk of spray drift with a high degree of reliability because weather conditions cannot be controlled in the field[4-8].
The objective of this study is to examine effect of spray nozzle angle on spray losses reduction.
The data from the spray tests were collected and analysis of variance (ANOVA) on the spray drift was carried out, using a mathematical model for a completely randomized design.
Online since: January 2013
Authors: Kuo Chung Lin, Ching Long Yeh, Shih Ying Huang
Data Mining Data mining can discover new facts, rules or relations from the raw data [8].
(b) Data integration: combine various data sources.
(c) Data selection: find out data related to the subject from the database.
(e) Data mining: extract data models by the utilization of technology.
Table 1 By model first running results Item Count (P) Y=1 (A) Rate (A/P) $R-Y1 (B) Covered (C) Accuracy Rate(C/B) Covered Rate(C/A) Model 1 19562 487 2.5% 948 393 41.46% 80.70% Model 4 79 27 34.2% 32 26 81.25% 96.30% Model Adjustment Reduction of Processing Data Sets and Vacant Data In order to improve the coverage and accuracy ratio of the model, the first adjustment mainly aims to reduce the processing of data sets and vacant data.
Online since: October 2011
Authors: Xi Rong Chen, Zao Ming Chen, Wei Ming Lin
For this process, the catalysts proposed are noble metal-based catalysts [2].Supported Ru catalysts have been actively applied to the PROX system since Oh and Sinkevitch reported that Ru/Al2O3 was the most active among commercial catalyst[3].Until now,this Ru/Al2O3 catalyst can be considered to the most promising based on the real operation data[4-7].However ,there has been no report that the acceptable CO removal can be achieved with high inlet CO concentration such as around 1 vol% in the real gas composition.
These values are almost similar to previously reported data [11].
The H2-TPR results (Figure 7) indicate a higher temperature reduction peak with its maximum at T=291.8 °C for Ru-La/Al2O3; this peak is attributed to the reduction peaks of RuO2 [14].
The lower temperature reduction peak with its maximum at T=150.6 °C for Ru-La/Al2O3 stems from the reduction of Ru [15].
The temperature reduction peak with its maximum at T=191.8 °C for Ru/Al2O3 are the peaks of RuO2 reduction [14].
Online since: January 2010
Authors: E.A. Brocchi, F.J. Moura, I.G. Solórzono, M.S. Motta
The oxides hydrogen reduction reaction can be written in the following form: MO(s) + H2(g) → M(s) + H2O(g) Hydrogen reduction thermodynamic evaluation of some oxides, in terms of standard Gibbs energy variation as function of temperature, is shown in Figure 2.
It is possible to see that depending on the oxide, the reduction reaction involved can or can not be implemented.
After reduction, the samples were cooled down in an inert atmosphere until reaching the ambient temperature and weighed.
Figure 7-X-Ray Diffraction pattern for Ni-Cu alloy obtained from Ni and Cu co-formed oxides reduction by H2.
Jena, Metallurgical and Materials Transactions B, Vol. 35 B, n. 6, (2004), p. 1107 [9] 2000 JCPDS - International Center for Diffraction Data, Cards 80-1917; 78-0643 and 851326; 87-0712
Online since: December 2012
Authors: Jun Jie Guo, Gong Wang, Yan Ling He, Hong Feng Du
How to quickly and effectively for sewage treatment of all kinds of data is to become the important problem of sewage treatment monitoring.
Through the content networking technology to realize the automatic acquisition data information, as well as data remote transmission and exchange, more in line with the monitoring process to the point, more than many elements requirements, in sewage treatment in a very broad application prospect.
Traditional monitoring system distributed by the I/O complete test and control, the equipment and the central control room of data exchange most used the network connection way, in central control room set master station, the equipment from the stand as hanged on the net.
Fig.4 Composite power supply system diagram Wireless network node module According to the sewage treatment process arrangement of each section of monitoring node collection pressure, flow, temperature, liquid level, COD, PH value parameters, then monitor ZigBee wireless network node through the data collected to ZigBee center node, the center of the node through RS232 data to the monitoring center, the monitoring center can real time observation to the site of the equipment operation.
It explores our country characteristics of new roads, ensure environmental protection energy conservation and emissions reduction has the very vital significance.
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