Search results

The sensor records and sends automatically temperature data to the computing centre.
At the computing centre, data are evaluated automatically and compressive strength of concrete is calculated by the maturity method using a calibration measurement.
Each user has real time access to these data on the web portal via computer or smartphone.
Fig. 3 shows the relationship between temperature data and compressive strength, which is used for calculation.
There is a chart of temperature data from sensor in the left and via calibration curve in the middle, it is possible to calculate compressive strength.

A good agreement between the experimental and numerical data was found.
In terms of bone impact characteristics, only preliminary data are available in the literature.
Also, a recent study [16] demonstrated adequacy of a Double-Cantilever Beam (DCB) test for determining fracture toughness under pure mode I loading of cortical bone by implementing a new data reduction scheme based on specimen compliance.
When the pendulum is released from the pre-defined angle, an impact with the specimen generates a change in the electrical resistance of the piezoelectric sensor that is captured by the data acquisition system - DAS 8000 - connected to the impactor.
Table 1: Material properties for finite-element model Part Material Young’s modulus (GPa) Poisson’s Ratio Density (kg/m3) Hammer Steel 210 0.3 7850 Anterior longitudinal Bone 23.15 ± 0.72 0.44 ± 0.009 1860 ± 0.9 Fig. 3 Comparison of experimental and FEM results for longitudinal cortical bone for energy level of 0.02 J Results and Discussion The aim of this study was to develop and verify a 3D finite-element model of the Izod test using material data for a specimen cut along the longitudinal direction of cortical bone tissue.

Finally, comparisons are made with experimental data available in the literature, showing good agreement.
The most relevant experimental data refers to Ersoy et al. (1993) [1], Takeuti et al. (2008) [2] and Branco et al. (2008) [3].
After introducing second order effects in longitudinal bars with a proper stress-strain law, the theoretical results were compared with some experimental data.
Experimental-theoretical comparison with existing literature models (data from [2]).
Experimental-analytical comparisons (data of [2]).

Geometric information contained within a CAD data file guides the energy source in precise patterns over a layer of deposited powder.
As design tools become more sophisticated, they demand more material behavior data through-out the temperature range of interest.
This range of mechanical property data is critical to determining if a given material can satisfactorily perform in a targeted application.
Obtaining this data for a new material is often an expensive, lengthily process.
• Legal issues regarding contractual terms and conditions, such as protection of proprietary data, retard progress.

A stitching sub-aperture interferometer is also carried by the Zeeko machine to give improved spatial resolution of edges, and to infill a small central obstruction in the OTT data.
After removing the specified low-order terms from the data to reveal the mid spatial frequencies (and hence smoothness), the surface error was 18.6nm RMS (Fig. 10).
This was traced to thermal effects in the 10m high air-column of Optical Test Tower, which caused random errors in metrology data.
No CMM data was available, so the part was given a rapid ‘flash pre-polish’ on the Zeeko machine, removing ~ 2 μm depth of material.
This comprises Test Tower data, with the CGH artefacts and central obstruction in-filled by stitching from on-machine sub-aperture interferometry.

Green remanufacturing management, a sustainable management mode of development strategy, integrated the philosophy of green manufacturing and advanced manufacturing techniques, deeply implementing the reduction of resource consumption and environmental impact.
The character datum of product (including product structure, manufacturing, market, application, recovery disposal) can be provided by information network of reverse logistics.
The related information and techniques of green remanufacturing should be integrated.The realization of green remanufacturing management involves a large amount of production information and data management, such as product name, production time, brand and basic structure of the product, etc.
The effective management to this datum is the key to realize green remanufacturing management.
But the datum is scatting and hard to collect by the traditional techniques.

The signal obtained from IR camera is thermogram sequence of the specimen surface temperature and the original data document with binary format.
The original file is a string of data in the way of line by line, frame by frame.
Using MATLAB, the data can be read easily at any point, in any row, column and frame.
Then the data was stored into a three-dimensional matrix (240 × 320 × N). 240, 320, N respectively means rows, columns and frames.
The data is extracted using MATLAB, surface temperature vs. time plot over the fist hole and over a sound area is shown in Fig. 4.

The velocity and density data were found to be accurate with in ± 0.10%and ± 0.01% respectively.
Adiabatic Compressibility The adiabatic compressibility of the mannose + water + NaCl, KCl, MgCl2and CaCl2 were determined at 303 K from the density and velocity data.
Such a decrease in adiabatic compressibility observed in the ternary systems (mannose + water + electrolytes)clearly confirms the conclusion drawn from the ultrasonic velocity data.
The фv values increase due to reduction in the electrostriction effect at terminals, whereas it decreases due to disruption of side group hydration by that of the charged end.
The partial molal volume at infinite dilution фov was calculated by taking an average data points.

For example, if there is no data for a set of casings at Station 2 (refer Figure 3), this means that all casings are still at Station 1.
Data from the reader is sent directly to the database without any filtering.
RFID reader sends data to the computer via a serial port cable.
To ensure all elements are integrated, Lab VIEW 9 is used to develop a middleware that will collect data from the RFID reader.
All tag will be detected by the reader and the tag data is transferred to the SQL database.

Representation of chromosome for feature selection 2) Affinity:Affinity is the fitness value criteria for each B-cell and is considered as the overall accuracy of the classification after the reduction of bands based on the binary coding values of the B-cells.
Ground truth of Indiana image (b). legend of ground truth image with 9 selected classes (c) In order to classify data, 9 chosen class elements are extracted from the image. 80% of selected pixels are used as training data and the remaining are considered as test data to estimate accuracy for affinity values.
Figure 6 illustrates the classified data image using the optimum selected bands for both methods.
Alizadeh, "Evaluation of the Potential of Swarm Clustering Techniques in Hyperspectral Data," University of Tehran, GIS Ostrava, January 2010 [2] D.
Carter, “The immune system as a model for classification and pattern recognition”, Journal of the American Informatics Association. vol. 7, 2000 [8] AVIRIS NW Indiana’s Indian Pines 1992 Data Set.ftp://ftp.ecn.purdue.edu/biehl/ MultiSpec/ 92AV3C