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Online since: July 2011
Authors: Zhen Xiang Wei, Li Jie Zhou
Its model is divided into static (only provide a single flexibility estimation) and dynamic (short-term and long-term elasticity estimations) ones, using samples namely time series, cross section data and panel data[7].
And different data and methods lead to different results.
Mayo and Mathis (1988) used data from 1958 to 1984 of the United States to estimate short-term and long-term rebound effect of motor transport at 22% and 26% respectively.
In addition Haaset al (1998) took the cross section data of household heating in Australia to estimate the long-term rebound effect ranging from 15% to 48%.
Researches in China.Subject to data limitations, studies on home heating, cooling and automobile transportation and other fields in China have not been found.
Online since: December 2013
Authors: Jing Guo
This method can effectively improve the working efficiency and make the statistical data accurate, speed up the capital turnover and improve the economic benefit.
At present the material management in the construction project workload heavily, data sources complex, material variety, material manager fill in the receipt, statistics, summarize and report busily every day, hard work but low efficiency.
As a systematic data management system, barcode technology is the basic of sophisticated computer technology; it can offer convenient common language and unique way of communication for many areas [2].
Such as system parameter setting, rights management, database backup reduction, and other functions.
Information management: If the system needs some basic data which will be used in other function modules and these data ensure rarely change after, then it can put together in order to convenient management.
Online since: July 2015
Authors: Putu Alit Suthanaya
Study Area Zoning System in Denpasar City, Bali-Indonesia The primary data used in this study is travel time data, whilst the secondary data (number of activities) were obtained from Denpasar Bureau of Statistic [8].
Based on the latest census data and the average change in both accessibility values and travel time variables over time, a Z-score is calculated.
Fig.2 shows Z-score diagram for accessibility to shopping centers based on the latest data (2012) and the growth rate of the accessibility values.From 43 zones evaluated, onlyDauhPuriKlodDistrict was found to have a high accessibility both based on 2012 data and the growth rate values.
On the other hand, DauhPuri District was identified to have the lowest accessibility value both based on the 2012 data and the average increase in accessibility value per year.
[8] Denpasar Bureau of Statistics, Population, Socio-Economic and Transport Data, Denpasar (2013) [9] W.G.
Online since: January 2016
Authors: Luis Carlos Ruiz, Olga Lucia Ramos, Dario Amaya
The final data was taken as the value to determine the error in order to continue with the proper adjustment of the rules.
In order to make the information related to previous years correspond with the most current data.
This stage consist initially in taking the trained neural network, having as input the data corresponding to the prior year of the desired one.
In this case, the prediction for the year 2013 is made by taking as input the data of the year 2012.
Where N is the number of values in the equation that performs the comparison between the resulting data and desired ones.
Online since: September 2010
Authors: Tay Jin Chua, Chak Huah Tan, T.X. Cai, G.H. Phua, Leck Leng Aw, Y.L. Huang
Using current and accurate data, MES guides, initiates, responds to, and reports on plant activities as they occur."
The integrated production scheduling and shop floor tracking system should be integrated with the Enterprise Resource Planning (ERP) system to access data that are maintained in the ERP system, such as the part master, customer orders, bill of material, routing, etc. in order to eliminate any duplicated data entry effort.
These input data are ERP sales order, item master, and the raw material inventory status.
At this level, it can be seen that the Integration Table serves as the platform whereupon data are made available to the systems that need to use them.
Various types of data are captured at each process by the Production Controller.
Online since: June 2014
Authors: Yi Shu Kong, Xiu Li Liu
According to the relevant data from Chinese Statistical Yearbook from 1986 to 2013, the wastewater emission in China has reached 68476 million tons in 2012, and it presents an obvious trend of rising from 1985 to 2012 as shown in Fig.1.
This research is based on relative data of national wastewater emission from 1985 to 2012.
Relative data came from: (1986-2013), the National Water Conservancy Statistical Bulletin(2006-2010) and the CEIC database.
It means that compared with Haihe River basin these 39 sectors still have plenty scope to reduce wastewater emission in nationwide, viewed from data in 2002.
We only take the 47 sectors into account in following analysis for these 4 sectors’ wastewater emission data were zero in both 1999 and 2002
Online since: February 2015
Authors: Gokcen Bas, Mehmet Cakmakci, Mahmut Kemal Karasu, Umut Gurel, Numan M. Durakbasa
Quality control activities contain general methods such as accuracy checks on data acquisition and calculations, and the use of approved standardised procedures for emission and removal calculations, measurements, estimating uncertainties, archiving information and reporting.
Quality control activities also include technical reviews of categories, activity data, emission factors, other estimation parameters, and methods [27]. 3.
He used a performance metric called signal-to-noise (S/N) ratio that combines the mean and standard deviation to analyse data from a robust design [17].
Optimization and variation reduction in quality.
[11] Taylor W.A., Optimization and variation reduction on quality, 1991, McGraw Hill, US
Online since: March 2014
Authors: Philip E. Irving, Fang Ming Zhao, Paul Jackson, Tong Yu Wu, David Ayre
Although theoretical studies of coating failure have been reported [8, 9], quantitative experimental data on fatigue of epoxy coatings has not been published.
The data points describe the life of a coating fatigue sample, failure being defined as the point at which the first 2 mm long crack is observed.
Linear regression curves of the data points are also presented.
The data points with an arrow to their right are run out points representing strain amplitudes that caused substrate failure before coating failure was observed.
The cause of the reduction in crack growth rates is still under investigation.
Online since: December 2014
Authors: Hong Wu Qin, Fu Cheng Cao, Qin Yin Fan, Maimai Jiang Aishan
The general idea is to use a scheme based on measured process data to detect a fault occurrence in a physical process, e.g. a component deterioration, to isolate the fault location in the process and to identify the time characteristics of the fault.
Another large step forward can be made by control engineers: the design of better maintenance schemes for turbine components can lead to cost reduction and higher availability of the turbine.
Experimental Data The disturbance caused by tower interference and wind shear depends on the position of the blade.
Spectrograms obtained were joined into data blocks by time tag.
For each data block static characteristics were determined: (6) Where the average value of spectrum constituent's amplitude is, is the number of spectrograms in data block; (7) Where is a dispersion of spectrum constituent's amplitude.
Online since: March 2011
Authors: Hou Guo Fang, Ping Hui Liu, Tao Zhang
Research data shows that [1-3], polypropylene fiber not only has strong corrosion resistance and good crack resistance, but also is convenient to construct.
splitting tensile strength /MPa axial tensile strength /MPa ultimate tensile value /×10-6 relative dynamic modulus /% mass loss rate/% 1 31.5 2.26 2.61 129 2.28 >8 91.1 0.58 >200 37.8 3.15 3.89 136 No cracking 2 31.4 2.73 2.67 131 2.26 >8 90.8 0.44 >200 38.1 3.19 4.16 155 No cracking cracking 3 30.7 2.57 2.62 134 2.20 >8 91.4 0.36 >200 37.3 3.14 4.07 154 No cracking cracking 4 29.3 2.53 2.84 131 2.12 >8 91.3 0.38 >200 37.6 3.16 4.14 134 No cracking cracking 5 34.5 2.47 2.85 131 2.48 >8 92.3 0.40 >200 49.2 3.58 4.41 146 No cracking 6 34.0 2.77 2.92 134 2.47 >8 91.5 0.36 >200 56.1 3.68 4.62 145 No cracking 7 33.3 2.61 2.88 139 2.40 >8 92.5 0.37 >200 52.4 3.61 4.60 152 No cracking 8 32.1 2.55 3.00 133 2.37 >8 93.0 0.34 >200 50.7 3.65 4.61 136 No cracking 9 42.1 2.93 — — — — — — — 57.0 3.66 — — — Table 3 results table of concrete shrinkage test specimen number water-cement ratio 7d 14d 28d 90d 180d Shrinkage /×10-6 amount of reduction
/% Shrinkage /×10-6 mount of reduction /% Shrinkage /×10-6 mount of reduction /% Shrinkage /×10-6 mount of reduction /% Shrinkage /×10-6 mount of reduction/% 1 0.50 -314 - -418 - -562 - -724 - -795 - 2 -163 48.1 -234 44.0 -358 36.3 -547 24.4 -601 24.4 3 -260 17.2 -352 15.8 -475 15.5 -623 14.0 -673 15.3 4 -217 30.9 -276 34.0 -474 15.7 -735 -1.5 -802 0.9 5 0.45 -324 - -434 - -595 - -763 - -849 - 6 -186 42.6 -315 27.4 -491 17.5 -642 15.9 -690 18.7 7 -278 14.2 -370 14.7 -512 13.9 -643 15.7 -748 11.9 8 -252 22.2 -328 24.4 -541 9.1 -757 0.8 -820 3.4 Note: amount of reduction is the shrinkage relative to the standard concrete.
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