Search Options

Sort by:

Sort search results by

Publication Type:

Publication Type filter

Open access:

Publication Date:

Periodicals:

Periodicals filter

Search results

Online since: January 2011
Authors: Hai Tao Su, Hai Qing Guo, Jin Feng Hu, Hui Zeng
The minimum input and maximum output method based on DEA(Data Envelopment Analysis) is proposed, the mathematical model of validity evaluation of eco-economic region of Poyang Lake is set up and programmed by MATLAB.
Their inputs and outputs data are taken from Jiangxi statistical yearbook of China.
Due to the relative rarely research on eco-efficiency of Poyang Lake in the past, the statistical data of eco-economic indexes of Poyang Lake is not perfect, and some ecological indexes data are still not being recorded.
Among those indexes, the reduction ratio of energy consumption of industrial enterprises above designated size is the largest.
(Ed.), Measuring Efficiency: An Assessment of Data Envelopment Analysis.
Online since: August 2014
Authors: Xiao Liu Shen, Mo Yu Wang, Yan Yan Wang
According to the relevant historical and predicted data, the paper examines the process of Carbon Emission Trend of energy consumption in Beijing.
The interpolation algorithm principle Interpolation algorithm is widely used in mathematics ,from a discrete set of data for some value.
So it is more suitable for predicting the annual statistical data.
Can be seen in Fig. 2, the forecasting data of 2013-2020, Beijing carbon emissions data declined slightly in 2019 compared with 2018.In 1996-2012, there is declinedyear,suchas1996-1996.Lagrange interpolation algorithm, therefore, relatively correct prediction of the development of Beijing's carbon emissions.
Summary In energy conservation and emissions reduction and low carbon development road conditions, the author predict the carbon emissions in 2013-2020 data of Beijing on the basis of historical data through Matlab Lagrange interpolation algorithm by programming in the carbon emissions.
Online since: March 2007
Authors: Mahesh Chandra Somani, L. Pentti Karjalainen, Antero Kyröläinen, Tero Taulavuori
This data is in agreement with the results of Tomimura et al.[5], obtained by induction magnetization.
In 301LN a 60% cold reduction was required to produce the nearly fully martensitic structure while in 301 the cold reduction of 70% was able to induce only about 80% martensite.
XRD data.
However, XRD data in Fig. 1a confirms that the microstructure became mainly austenitic within 100 s even at 700°C.
Kyröläinen: Outokumpu Stainless Oy, Tornio, Finland, process data (2005)
Online since: October 2011
Authors: Liang Wang, Jie Gao, Jing Min Ma
Due to its low power consumption, high performance and portable feature, the platform has been used in the system of noise reduction headphone.
Memory expanded circuit design This platform expands a SDRAM HY57V641620 of 64Mbit for storing data temporarily and a FLASH S29AL008D of 8Mbit for storing important data and program permanently through the external memory interface EMIF [3] of VC5509(see figure 4).
The data is sent on the falling edge of LRCIN or LRCOUT.
The left channel signal data is sent firstly followed by the right channel signal data as shown in figure 9.
Datasheet of:TLV320AIC23B Data Manual.
Online since: March 2022
Authors: Miaad Al Shizawi, Vinod Kumar
Table.2 shows the specifications of the temperature data recorder and Type T thermocouples installed (Fig.4) to measure the indoor air and the roof surface temperatures.
The data were recorded every 5 minutes for 120 minutes in both the reference and passive cool system models.
Data logger and Thermocouple specifications Type Type T, exposed type, PTFE insulated Model TC-08 Sensitivity 40 µV/°C, 1oC over the range -200oC to 400oC Channels Eight Tip diameter 1.5 mm Range of measurement –270 to +1820 °C Tip temperature –75°C to +350 °C Resolution 0.025oC (a) Data logger (b) Type T thermocouple Fig.4 Instruments for measuring the temperature Results and Discussions Type T thermocouples fixed in the middle of the symmetrical test models were used to measure room air temperature.
These sensors are connected to the temperature data logger and temperatures were recorded with a computer assisted system continuously for 120 minutes.
Regardless, the aluminium reflector - evaporator passive cool system stayed stable all the time with a marginal fluctuation in temperature and the data after 60 and 120 minutes were 21.64oC and 21.2oC respectively.
Online since: September 2007
Authors: Zhong Kui Zhao, Gui Qing Wang, Yan Liu
This heat treatment enhances strength substantially while there is a reduction in ductility [2-4].
There are little published data describing the changes of tensile properties and microstructure with prolonged aging times.
Results and Discussion Tensile data for various test conditions are shown in Tables 1.
Elongation increases with age time from 20 h to 48 h but no significant reduction in UTS is observed.
Aging at 200 °C from 10 h to 20 h, elongation increases, but no significant reduction in UTS is observed.
Online since: December 2012
Authors: José Rui Camargo, Jamir Machado da Silva, Ederaldo Godoy Junior, Renan Eduardo da Silva, Luiz Eduardo Nicolini do Patrocínio Nunes, Fabio Silva Rezende
The data were stored and analyzed, where we observed the influence of temperature in both systems, validating the mathematical modeling.
The collected data were entered into the spreadsheet software Microsoft Office Excel 2003®, to generate tables and graphs to optimize the analysis.
Comparison Between Simulations and Testing In order to graphically compare the results of mathematical models for some generated graphs and data obtained during the tests, was created in MATLAB ® 5.3 code, simulating the same graph, the theoretical data based on mathematical models and practical data collected during the tests.
There is a marked reduction in the amount of Δtt.
There was a clear reduction of power output compared to the data collected in a measurement which is a function of temperature increase of the system.
Online since: March 2009
Authors: E.Ö. Sveinbjörnsson, Fredrik Allerstam
Despite this reduction, high temperature oxidation alone is not useful to achieve low density of interface traps at the SiO2/4H-SiC interface.
Fig. 3 shows such a graph calculated from the data in Fig. 1.
Even when comparing the data collected with accumulation bias applied at low temperature the 1240o C shows a lower total trap density.
In that work the reduction was coupled to a reduction of residual carbon at the interface measured by XPS.
Conclusion The results suggests that high temperature oxidation alone is not useful to achieve low density of interface traps at the SiO2/4H-SiC interface, even though some reduction is seen with increasing temperature.
Online since: March 2014
Authors: Zhi Tang Song, Qian Wang, Yi Feng Chen, Min Zhu, Gao Ming Feng, Xi Fan, Hou Peng Chen
Several factors including 1T1R structure and titanium nitride (TiN) bottom electrode (BE) are applied for power reduction.
In order to realize better read performance, 8 bits readout data come from different blocks to avoid thermal crosstalk.
In addition, RESET current decreases deeply with TiN BE (1.6 mA) representing a 56% reduction compared with W BE (3.6 mA).
Consequently, our study does suggest using TiN BE to replace W BE is a trend for power reduction.
The chip based on TiN BE consumes lower RESET current representing a 56% reduction than W BE, and the yield achieves 100%.
Online since: August 2017
Authors: Viktor Molnar
It is found that drastic reduction of the scrap rate, though increasing customer satisfaction, is not always a proper solution due to the extent of quality cost.
Quality cost is an estimated item, which shows the amount of expenditure that would be needed if quality level was intended to increase, resulting in reduction of the scrap rate.
Table 1 contains the calculations on the basis of the given data, while Fig. 3 summarizes the three profit categories.
· Scrap rate reduction, with less effort than estimated in determining the 0.025 scrap rate target, is obviously advisable
Table 2 Evaluation of model on scale 1-5, where 1: poor; 3: average; 5: excellent (own construction) Interviewed manager Position Simplicity Availability of data Accuracy Acceptability by staff Usefulness Average M1 Head of controlling group 5 2 4 5 5 4.20 M2 Industrial engineer 5 5 5 4 3 4.40 M3 Project manager 4 3 5 4 5 4.20 M4 Lean engineer 3 4 5 2 5 3.80 M5 Deputy financial director 5 3 5 3 4 4.00 M6 Project manager 5 4 4 5 4 4.40 Average: 4.50 3.50 4.67 3.83 4.33 4.17 Summary The intention in introducing this model is to emphasize the importance and relevance of opportunity costs in companies where – due to the financial characteristics of mass production processes – a minor change in first cost or scrap rate could influence the total profit significantly.
Showing 2731 to 2740 of 40694 items