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Online since: January 2013
Authors: Mustaffar Mushairry, Hamzah Norhaliza, Mazlan Ain Naadia, Ismail Hasrul Haidar, Balarabbe Abubakar Sani, Kian Seng Foo, Marwar Nurfatimah, Abd. Majid Muhd Zaimi, Mohamad Zin Rosli, Zakaria Rozana, Ismail Mohd Affendi, Yazid Yazlin Salfiza
Research Methodology This research was undertaken through five stages which are literature review, research proposal development, data collection, data analysis and conclusion and recommendation.
The data collected was analysed using the SPSS statistical package version 13.0.
Huang in 2008 categorized green highway construction assessment topics into six groups, namely ecology, landscaping, materials, waste reduction, water conservation, and energy conservation [6].
These elements were grouped under six different categories namely: ecology, landscaping, waste reduction, materials, water conservation and energy efficiency.
These elements were grouped into six (6) different categories, namely: ecology, landscaping, waste reduction, materials, water conservation and energy efficiency.
Online since: August 2015
Authors: Robert Konowrocki, Tomasz Szolc, Agnieszka Pręgowska
They may cause many unfavorable effects like: reduction of the machinery and vehicle operational efficiency, increasing exploitation wear or frequently rising risk of breakdowns.
Because of these kinds of reasons, the matter of vibration reduction in electromechanical systems is still an intensively investigated topic.
The experimental investigations for a reduction of torsional vibrations have been performed using the test-rig in the form of a drive system shown in Fig. 1.
Main specifications of applied the data acquisition system (DAQ) is described in Table 3.
Here, the analytical and experimental investigations have been performed by means of the rotary damper with the magneto-rheological fluid for reduction of torsional vibrations in rotating systems.
Online since: March 2007
Authors: Zhong Sheng Liu, Da Tong Song, Qian Pu Wang, Michael Eikerling
Calculated polarization curves are shown to compare favourably with published experimental data for ultra-thin catalyst layers.
Thereafter, modeling results are analyzed and compared with the available experimental data.
The experimental data of Parthasarathy et al. [7] were used to correlate the reference exchange current density for oxygen reduction in the acidic electrolyte with temperature.
We compare our model calculations of polarization as a function of operating current density to the experimental data of Debe [2].
Since many researchers report that the hydrogen electrode in the PEFC performed with negligible overpotential, the experimental fuel cell voltage data are comparable to our calculated potentials by including the membrane proton resistance.
Online since: November 2009
Authors: S.V.S. Narayana Murty, Shiro Torizuka
Reduction in area is affected by second phases and inclusions.
The effect of carbon content (in other words the volume fraction of cementite) on the true stress is clear from the comparison of data shown in Fig.4(b) for various compositions.
Tensile strength-reduction in area balance While uniform elongation is a measure of ductility of the material, reduction in area in tensile tests is also an important measure of ductility.
Reduction in area is affected by second phase particles and inclusions.
The test data of conventional ferrite-pearlite steel, tempered martensitic steel and bainite steel are also plotted for the purpose of comparison.
Online since: August 2015
Authors: R. Narayanan, S. Mohanamurugan, P. Shankar, P. Kumaran, R. Vijay
Model validation was performed using pilot plant data developed internally.
Presence of CO is a key obstacle for NOx reduction when using mixtures of H2 and CO.
Among the various kinds of reducing agents for NOx reduction gaseous ammonia shows the best performance [9].
Materials and Methods Catalyst preparation Three LNT Catalysts was prepared for NOx reduction.
Bliek, Mechanism of the selective catalytic reduction of NO with NH3 over MnOx/Al2O3: II.
Online since: June 2011
Authors: Shi Hua Li, Shi De Zhao
In addition, ratings indicators are much more indicators, which in turn will increase the difficulty in the work of data collection and arrangement.
Sample selection: Choose 38 Hotels in Beijing, Guangzhou, Nanjing, Ningbo and so on as the object of research, 8 hotels of which as verification set data, 30 as test set data (W1, W2, ...
W30) Data Collection: 150 survey questionnaires were distributed, and 139 available questionnaires were retrieved which resulted in 97.3% sample return and 92.6% the ratio of callback of valid questionnaire.
After careful interviewing, ultimately determine W20 as the Autocracy type of TMT, and W10 and W29 as democratic type of TMT. 3.2 Data processing and analysis 3.2.1 Test of Reliability and validity of Indexes’ system BY use of Cronbach α-reliability coefficient assessing the credibility, after the original data are standardized, then put it in the formula testing reliability and validity, calculated result as shown in Table 2.
Weight coefficient matrix of indicators multiply the corresponding value of the research data standardized, the value obtained is based on the one based on Rough Set.
Online since: June 2014
Authors: Feng Ye, Xue Jun Tian, Zhi Peng Dong
GPU has powerful computing ability on parallel data processing.
It is especially applicable to arithmetics with the same operator but different arithmetic data.
The processing results of CPU corresponding data statistics are as shown in Table 1.
Perform loop noise reduction for 12 times on corresponding images to increase the amount of data and accurately measure the noise reduction speed.
Perform corresponding data statistics in CPU.
Online since: February 2006
Authors: Jing Tao Han, Hong Li
Then the entire assembly is rolled under a small reduction when heated to bonding temperature.
In rolling-diffusion bonding process, reduction is a key parameter influencing interface bonding strength.
Theoretical calculations were performed with above mathematical models, and the computation results were compared with experimental data. 1.
The microstructure obtained at the bonding region under reduction 13.1% for 30min is shown in Fig.2.
Vol. 40(1995), p.181 [14] H Mehrer: Numerical Data and Functional Relationships in Science and Technology ( Druckhaus Langenscheidt KG, Belin 1990)
Online since: May 2022
Authors: Ahmed Faisal Oan, Ali E.M.M. Elrefaei
For the 30% glass replacement was applied there was a reduction in the compressive strength at both ages 7-day and 28 day ages, as for 7-day age the reduction was 6.39% whereas at 28-day age the reduction in compressive strength was 8.8%.
The reduction is compressive strength can be explained as a result of two causes; the first cause is that the glass wastes has smooth surface compared to the normal aggregates and that leads to the decreased bond between the particles and the cement matrix and with increasing the percentage of glass the reduction in the compressive strength increases.
But overall, the reduction in compressive strength can be considered as insignificant one as the highest reduction percentage was less than 10% ( at 30% replacement ratio).
Compressive strength at 7-day age Type of specimen Weight (kg) Compression Test (KN) Compressive stress (MPa) Average (MPa) Control 8.200 567 25.25 23.77 8.032 532 23.64 8.11 505 22.44 10% Replacement 8.396 582 25.86 25.77 8.264 568 25.24 8.242 587 26.08 20% Replacement 8.170 567 25.2 25.35 8.249 592 26.31 8.240 549 24.4 30% Replacement 8.196 522 23.2 22.25 7.988 448 19.91 8.146 532 23.64 Although there was a reduction in the compressive strength for all mixes with glass wastes, but the reduction was minor as the maximum reduction occurred did not exceed 10%.
Sadiq (2018), “Experimental data on flexural strength of reinforced concrete elements with waste glass particles as partial replacement for fine aggregate”, Data in Brief Journal, Vol. 18, pp. 846-859
Online since: March 2018
Authors: John Terhile Agee, Remigius Chidiebere Diovu
With respect to data storage and cluster server processing, data aggregation in AMI network for secure transfer of energy user-consumption data must take cognizance of congestion control and user data privacy.
Firstly, aggregated metered noisy or fake data will not amount to exactly the aggregated real metered data due to the added randomness to each SM data.
This scheme is robust to data loss particularly during congestion scenario as it can prevent the leakage of the sensed data during data aggregation.
Once verified, the data image is then sent to the local concentrator for overhead reduction.
Figure 2 illustrates typical data flow in a secure data aggregation RTCA model.
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