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Online since: August 2024
Authors: Mukhlis M. Ismail, Sura Raad, Isam M. Ibrahim
The obtained composites were evaluated using data from the XRD, FE-SEM, and VSM.
The Nyquist data views that the electrode has the lowest RESR and Rct.
Morphology and chemistry of its oxidation and reduction in aqueous electrolytes.
Facile one-step hydrazine-assisted solvothermal synthesis of nitrogen-doped reduced graphene oxide: Reduction effect and mechanisms.
Morphology and chemistry of its oxidation and reduction in aqueous electrolytes.
Online since: January 2015
Authors: Nikola Čulić, Aleksandar Milajić, Dejan Beljaković, Nikolay Vatin, Vera Murgul
Therefore, reduction of energy consumption without compromising the quality of living is a matter of extreme importance towards a global sustainability.
In terms of sustainable development, the main objective for the building optimization is the reduction of energy use while possibly generating some energy, such as solar or wind energy.
Besides that, reduction of energy consumption without compromising living standard has become very important issue in civil engineering and building industry.
This demands inclusion of additional software for providing energy consumption data for different types and kinds of buildings and different lighting and HVAC systems according to the local meteorological data of a given region.
Reduction of the energy consumption without compromising living standard has become very important issue in architecture, civil engineering and building industry.
Online since: July 2018
Authors: Sven Amon, Daniel Gross, Nico Hanenkamp, Andrea Heinz, Trixi Meier, Ralf Schmand
Due to the high pressure for optimization and cost reduction, new deburring methods need to be developed.
The automatization and integration in a machining center result in a reduction of lead times and an increase in efficiency (Uhlmann, et al., 2010).
It is also necessary to check for each application whether the achievable savings through the reduction of lead times and the process chain exceed the additional costs for the operating costs.
However, the tables of physical characteristics deliver no data regarding the density of CO2 at ambient pressure and a temperature of TCO2 = -78.5 °C (Haynes and Lide, 2015).
CRC handbook of chemistry and physics - A ready-reference book of chemical and physical data.
Online since: June 2012
Authors: Feng Min Lai, Chien Chang Lin, Chao Chieh Yang, Chun Hsiang Lan, Chen Mao Yang
If the discrete data taken, a sufficient number of data points must record in order to reproduce the stress-strain relation.
At least 25 data points are needed in the linear response region.
Plot the data for reduction.
Comparison are made between the measuring data before and after the polarization.
Table 1: Comparison for different data before and after polarization Material Data PVDF Z-θ(MΩ) Cs-D(pF) Before 1.276 51.038 After 1.012 160.542 Diff. % -21% +215% Analysis for Mechanical Behavior A.
Online since: July 2013
Authors: Hiroshi Hayakawa, Naoya Ishida, Junji Akimoto, Hideka Shibuya, Junichi Imaizumi
The XRD data were collected for 5 s at each 0.03º step over a 2θ range from 10° to 90° for Rietveld analysis using Rietan-FP program [11].
The powder diffraction data could be indexed on a rhombohedral unit cell, space group R3(-)m.
The refined structure of Li0.55Na0.03Mn0.5Ni0.25Ti0.25O2 is shown in Fig. 2 and crystal data for this compound is given in Table 1.
Observed, calculated, and difference patterns for the Rietveld refinement using the powder X-ray diffraction data of Li0.55Na0.03Mn0.5Ni0.25Ti0.25O2.
The crystal structure of Li0.55Na0.03Mn0.5Ni0.25Ti0.25O2 was refined by Rietveld refinement using the powder X-ray diffraction data.
Online since: December 2012
Authors: Suresh Kumar Garg, Chitra Sharma, Durgesh Sharma
Training and Test data are given in table 1 and table 2 of annexure 1.
ANFIS uses either an available fuzzy inference system to train data pairs or constructs a fuzzy inference system whose membership functions are tuned using a learning algorithm.
An adaptive network is generated to incorporate the capability of learning from the input/output data sets in fuzzy inference system.
The data given in Table I was used as training data for feed forward neural networks with two different learning algorithms.
Chang, "Using data-fuzzification technology in small data set learning to improve FMS scheduling accuracy," Int J Adv Manuf Technol, vol. 27, pp. 321–328, 2005. [7] Min Chun Yu and T.
Online since: February 2011
Authors: Ye Wen Cao, Fan Zhang
Methods based on node location [1-3] add the GPS (global positioning system) information into data packets to select the most stable path.
It is clearly that the value of SCR is positive and less than 1, nodes with larger SCR are expected to be selected to transmit data packets.
An Enhanced AODV Routing Protocol In traditional AODV (Ad hoc On-demand Distance Vector) routing protocol, nodes choose the shortest route to deliver data packets.
Normalized routing load is defined as the number of control packets required for an average successful reception of a data packet.
Packet delivery ratio is the ratio between the number of data packets successfully received by app layer and the number of data packets transmitted by app layer for all nodes.
Online since: May 2013
Authors: Jian Yu Wang
From RS485 bus on the main processor receives the control commands and data, after calculating and conversion, it become LM629 corresponding control signals and sending LM629.
Incremental encoder provides closed-loop control feedback signal, in position control mode, the main processor sent acceleration, limiting speed, final position data.
LM629 use these data calculation running track, as shown in Fig 2a.
The internal PID algorithm is expressed as: In the formula: For the 485 bus to data, master processor using interrupt mode for real-time processing, response speed quickly.
References [1] Motorola semiconductor technical data for MC33035
Online since: January 2014
Authors: Si Jie Ruan, Zi Yan Zhou
As the file to guide workers to assembly, assembly process should be often changed by the actual production situation, which leads to the chaotic management of assembly data and the reduction of efficiency.
Therefore, to complex products demanding high quality, it remains to be solved that the process execution be controlled and managed effectively, resulting in the complete assembly process data.
Shi Xiaojian[2] proposed a PDM (Product Data Management) based method for process change management and the model supporting workflow was presented in PDM, and the process change flow could run automatically.
Zhang Yuancheng[3] presented the CAAPP system architecture using PDM platform and proposed data generation and interaction method, which solved the process information demands of MES.
As a result, they have not realized the in-time feedback of process execution, and cannot manage the relative data in assembly process effectively.
Online since: September 2014
Authors: Dong Sun, Wen Qing Wang, Rui Can Niu, Lu Liu
Compared with traditional clustering algorithms, SC has many obvious advantages of achieving the global optimal solution and avoiding the singularity problem caused by high-dimensional data.
PolSAR data are processed by performing Lee refined filter with a 7×7 fitering window 2.
Wishart classifier is iteratively implemented to classify the PolSAR data.
Experimental Results The data used in Fig. 1 was acquired over Flevoland by NASA/JPL AIRSAR on August 16, 1989 with a size of 300×270.
Eltoft, Spectral clustering of polarimetric SAR data with Wishart-derived distance measures, in Proc.
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