Search Options

Sort by:

Sort search results by

Publication Type:

Publication Type filter

Open access:

Publication Date:

Periodicals:

Periodicals filter

Search results

Online since: December 2012
Authors: Qing Lei Zhou, Yi Lin Zhao
We introduce the real dissimilarity among data into the determination of data connection relationship.
In kddcup.data_10_percent package, 20300 pieces of data are selected as training data, among which 300 pieces are intrusion data, the 1.5% of the normal data?
The training data contains all the four types of data.
Data Preprocessing.
For this reason, it’s dispensable to standardize the data before the data cluster analysis.
Online since: February 2016
Authors: M.P. Devaki
Methodology The main tools for the collection of data include questionnaires and interviews.
The target population for the data collection includes project managers of building construction organizations.
The data thus collected would then be analyzed using statistical methods to categorize and prioritize the wastes.
Data analysis on source and causes of waste The first objective of the study was to identify the source and causes of wastes in construction sites.
A summary of findings established from the analysis of the data collected as a means of questionnaire survey has been related to the objectives of the study.
Online since: July 2014
Authors: Nilson S. Ferreira, Marcelo S. Silva
For this purpose, XRD data were collected in the step-scan mode over a 2θ range of 20–70° in steps of 0.02° at 5 s per step.
Obviously, the fitted patterns are in agreement with the respective experimental data and indicate the accuracy of obtained results (the χ2 value is found to be in the range of 1.6to 2.9).
From these data, it is possible to estimate the thickness of the grain and grain boundary by only knowing the average size of the grain [Fig. 3(b)].
Table 2 lists the resistivities of the grain and grain-boundary regions and the values for b calculated from the permittivity data for a temperature of 40°C.
TC was obtained using the permittivity data by extrapolating the curve for 1/ε in the paraelectric region.
Online since: December 2010
Authors: Elena P. Nesteruk, Alexander A. Yasinskyi, Dmitriy N. Berchuk, Valentin B. Bublikov, Yuriy D. Bachinskyi
The experimental data have allowed to (temperature and grain size) on the speed of liquid metal front Mg7-FeSi alloy.
Scheme of portion division of the melt modified in a casting mould: 1) pouring gate; 2) bringing channel; 3) reaction ; 4) connecting channel; 5) spinner runner; 6) filter; drain channel; 8) casting mould for casting of wedge ; 9) hand cart granular Mg master alloy of heat and mass transfer The experimental data ulds with the gatingsec were used at the 45-3.80 C; 1.85-2.10 Si; induction furnace.
Influence of pouring speed of liquid metal front advancement into Mg7 fractional size 1.1 10 mm (2) The experimental data master alloy is mainly fraction of 0.315-1.0 mm is there is a layer of not .
The shape of graph designed on experimental data iron at volume character of phase-to-phase interaction comes nearer to s describing change of particles volume in the process of their size reduction.
Dissolution in the nteraction is described by linear dependence ed on experimental data for phase interaction comes nearer to process of their size reduction.
Online since: June 2008
Authors: Satoshi Hashimoto, Alexei Vinogradov, Shintaro Yasuoka
We utilized the OIM Data Collection 4.0 system installed on the JEOL JSM-6500FE scanning electron microscope, equipped with a field emission gun and ECCI detector.
Figure 5 allows us to re-consider conservatively the presently available data on HCF of UFG ECAP Cu of 99.99% -99.96% purity obtained by different authors on differently manufactured samples.
The range of typically obtained fatigue lives for cold-worked oxygen free and tough-pitch copper is shown in Fig.5 in a shaded area, as deduced from a huge experimental data compiled by Murphy [13].
Correlation between the tensile and fatigue strength in conventionally manufactured and ECAPed Cu (open circles are plotted from [13,14], filled squares for ECAP data are from [3-5]) Figure 5.
Shaded area corresponds to a range of fatigue lives typical of cold-worked copper, according to experimental data compiled by Murphy (2001) [13].
Online since: March 2008
Authors: Kee Nam Song, Hyeong Yeon Lee, Soo Bum Lee, Yong Wan Kim
Material data such as weldment stress rupture factors, additional isochronous stress-strain curves at 427 °C to 649 °C, thermal expansion coefficients, effects of a aging on the toughness of materials and weldment fatigue data etc. need to be added [5].
The weld strength reduction factors are not included in the draft code case and those factors should be added so that a weldment design could be possible.
It should also be noted that the design fatigue curves for Alloy 617 are only provided for three temperatures of 704 °C, 871 °C and 982 °C while the stress-to-rupture data are only provided for the range of 593 °C to 982 °C in the draft code case.
In the finite element analysis, as-received temperature data for Alloy 800H from a structural creep-fatigue test was used.
So, the preliminary geometric data will be used for the basic design data for the HGD of the NHDD program.
Online since: September 2013
Authors: Xiao Yuan Jing, Wen Qian Li, Hao Gao, Jiang Yue Man, Yong Fang Yao
In recent years, while data variety is important to be concerned, many other feature extraction methods study manifold structure [4], for example, locality preserving projections (LPP) [5] and Sparsity Preserving Projections(SPP) [6].
Unlike LPP, where local neighborhood information is preserved during dimensionality reduction procedure, SPP aims to preserve the sparse reconstructive relationship of the data, which is achieved by minimizing a regularization-related objective function [7].
In graph, structure of the original samples are actually depends on the sparse coefficients, and then the low-dimensional embedding of data is evaluated to best preserve such cost-sensitive structure in the original high-dimensional data space.
The projected d-dimensional data set is obtained by .
Step 3: The projected d-dimensional data set is obtained by .
Online since: July 2017
Authors: Rudolf Kawalla, Grzegorz Korpala, Alexander Kabanov, Sergey Ionov
According to the data obtained from DCCT diagrams, the parameters of the accelerated cooling and heat treatment combination were determined.
The measured data on the volume of the microstructural elements is shown in Figure 3.
Based on these data in this research the cooling rate was chosen to be 30 K/s, which may be used for the plate thickness of about 10 mm.
The calculated data of the volume of the microstructural components content is shown in Figure .
All data about the volume of each phase are shown in Figure 6.
Online since: September 2022
Authors: Mohammad R. Alenezi, Abdullah M. Almeshal, Abdullah N.F.N.R. Alkhaledi
The improvement in the photocatalytic performance was ascribed to the reduction in dimensionality, the ultrahigh surface-to-volume ratio, the expanded proportion of the exposed polar area, and the creation of nano-junctions between the secondary nanowires and initial ZnO nanowires or nanodiscs.
In principle, organic pollutant photodegradation is a surface oxidation-reduction process which is driven by photogenerated electron-hole pairs [7,8].
Much research exists on the theoretical calculations and experimental data of the part played by the chemistry defects of the ZnO surface and the chemisorption effects [23,24].
The improvement in the photocatalytic performance was ascribed to the reduction in dimensionality, the ultrahigh surface-to-volume ratio, the expanded proportion of the exposed polar area, and the creation of nano-junctions between the secondary nanowires and initial ZnO nanowires or nanodiscs.
The enhanced photocatalytic activity of the ZnO HNWs and HNDs were attributed to the reduction in size and the ultrahigh surface-to-volume ratio and increased proportion of exposed polar facets compared to those of the other tested mono-morphological nanomaterials.
Online since: December 2012
Authors: Jia Man Sun, Jun Fan Fu, Ru Jun Zhou, Wei Na Su, Xue Rui Yan
Data on the colony growth were analyzed by analysis of variance (ANOVA).
The data in the same column followed by different letters are significantly different at 0.05 levels.
Statistical analysis of the data was performed using SPSS 11.5 software.
The data in the same column followed by different letters are significantly different at 0.05 levels.
Statistical analysis of the data was performed using SPSS 11.5 software.
Showing 16481 to 16490 of 40694 items