Search results

The PCI-2 data acquisition (DAQ) card and R15 sensors are used to improve the precision of UAEs detection.
Use the tomato plant data with the empirical deduction under the modern greenhouse conditions, the relationships among UAEs, transpiration and UAEs signal strength is described by curve.
The plant water stress leads to reduction of root absorption, so that the limited water of soil can be used longer.
The UAEs are detected with the μDiSP™ Digital AE system via PCI-2 data acquisition card and R15 transducer which made in Physical Acoustics Corporation and connected with computer through PCI port.
Data acquisition was performed with a detection threshold of 30 dB, a frequency range between 100 kHz and 1 MHz (Sandford and Grace 1985), and a rate of 5M samples/second.

Introduction： Nonnegative matrix factorization (NMF) is a now popular dimension reduction technique, employed for non-subtractive, part-based representation of nonnegative data [1, 2].
The NMF decomposes the data matrix Y = [y(1),y(2),...
One set is synthetic Sendmail data which collected at the University of New Mexico (UNM) by Forrest et al, it contains UNM synthethic sendmail data and CERT synthethic sendmail data.
UNM data is training set, CERT date is testing set.
Other set is UNM live named data.

These data are presented and discussed.
These data show that the Si excess has a very important role in determining the Er emission, both under direct and carrier-mediated excitation with an opposite behaviour in the two cases.
These data are summarized in Fig. 2a where the PL intensity at 1535 nm measured either by pumping with the 476.5 nm (carrier-mediated) or with the 980 nm (resonant) laser line is reported as a function of the total Si concentration.
These data are compared with the lifetime of the Si-nc luminescence measured at 700 nm in similar samples not implanted with Er (multiplied by a factor of 200 to allow the comparison).
This phenomenon presumably occurs through a reduction of the defect density of the material.

Thus an economic production is achieved to reduce the necessary numbers of production steps which often leads to a reduction of capital investment for dies and machinery[4], production costs and the technological risk is reduced as well.
Figure1 Examples of buckling, wrinkling and bursting Software Architecture Tube Hydroforming Analysis Wizard is composed of four parts as below(shown as Figure 2): (1) Database construction Build hydroforming design data, process data and experience data etc. into database

The international standard ISO 5807: 1985 "Information processing - Documentation symbols and conventions for data, program and system flow charts" has been used to compile block diagrams of calculation algorithms.
According to the set of rules, the next step is to determine the coefficient of reduction of the load-carrying capacity χd, as in Fig. 2 (a), by which the thickness of the second part of the shelf and the overhang of the shelf is determined.
Zozus The Data Book: Collection and Management of Research Data, by Taylor & Francis Group, LLC, Boca Raton, 2017.

Engineering data models are integrated from all kinds of building information in BIM, providing much coordinating and operational information for architectural design and construction where BIM is an innovation [1,2].
The data base, made up of the computer three-dimensional model, is the core technology of steel structure BIM, and actual structural elements of steel structure are digitally created by visualization methods.
It is better to unify the management of the whole resources and quality to increase efficiency and cost reduction.
It is BIM, one data base rich in engineering information[5], that can solve this problem.

(6) Using the DTA curve data, according to Eq. (6) the reaction progression n can be obtained.
The mensuration condition that rise temperature velocity was 10°C·min-1 and reduction reaction gas is N2 gas.
Fig.2 TG-DTA-DTG curvers of nano-Cr(OH)3 power The DTA-TG-DTG curves data and Eq. (2) allow the calculation for apparent activation energy E and pre-exponential factor A of nano-Cr(OH)3 power.
-E/R E(J·mol-1) LnA A n Cr(OH)3 -30554.166 254.027 84.012 3.062×1036 1.560 Based on all above data, the kinetics decomposition equation of nano-Ni(OH)2 power was: Conclusions The conclusions were as followed: (1) In process of nano-Cr(OH)3powders decomposition, the apparent activation energy of nano-Cr(OH)3is 254.027 kJ·mol-1, the frequency gene is3.062×1036 (2) The reaction progression was as1.560obtained by Kissinger peak sharp factor

The mass of data generated makes it possible also the feedback of the same systems, increasing its database.
As show the data collected the behavior of stress changes with depth, geometry and range of analysis.
This effect of plasticity affects output data strongly and should be corrected.
The function of plasticity factor used with von Mises criteria in MathLab® procedure to rebuild data.
Data from HDrill was reworked to be self-consistent by plasticity factor [7].

As shown in panel estimation of 30 provinces’ data in China, urban industry and building and transportation have positive effect on carbon emissions, industry the biggest, and building and transportation also significant.
Traffic including different modes of transportation and different displacement of transportation tools such as highway, railway, aviation and waterway transportation, and cargo and passenger, it is difficult to collect and process data, this paper make simple processing, so this paper simplifies to choose transportation line length as explained variable of transportation, Which sums up line length of all kinds of traffics such as railway, highway, highway, waterway, civil aviation routes and pipeline oil mileage.Model is as follows: (1) is urban total carbon emissions (energy consumption) of province in years, is value added of industry of province in years, is urban buildings area of province in years,, is transportation line length of province in years, is error, andandare respectively flexibility coefficients of urban carbon emissions (energy consumption) to second industry output value added and urban buildings area and transportation
Data of value added of industry and transportation line length and urban buildings area comes from 1996-2009 China statistical yearbooks.
Result Based on the model (1), using panel data of 30 provinces in China, this paper makes least squares estimation.
Secondly, too rapid growth of urban energy consumption and carbon emissions will threaten China's sustainable development of urbanization and industrialization, so we need to accelerate industrial areas of energy conservation and emission reductions, and realize low-carbon development in building and transportation.

Principal component analysis can achieve the complex multivariate dimension reduction.
Thereby it will simplify the variables, simplify the overall understanding of the data and may explore the implied structural factors that affect the changes of the enterprise data.
Because of the original data’s format, type, etc, the principal component analysis incorporates the continuity of the main data.
Meanwhile, due to the differences between the data units and the different dimensions, original data values’ Z-scores are used as a new variable to participate in the principal component analysis.
Participation variables as follows (for easy understanding, and also to simplify the data, some companies’ data are adopted only for the year 2010; while some companies individual indicator data have missed, so we use the average value of the index as an alternative).