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Online since: June 2012
Authors: Andreea Dobra
The objectives that may be attained through the implementation of an integrated system for Tool Management include:
∙ improvement in performance of the Production System;
∙ high levels of machine utilization;
∙ reduction of downtime;
∙ tool's selection on optimum level;
∙ reduction of variety and number of tools used;
∙ optimizing industrial purchasing;
∙ supplying tools, to machines just in time, which involves the engineering department in the concerns of the shop.
Loading the data in active sheet Fig. 5.
Bar codes provide fast, easy, and accurate method of data manipulation.
VBA Variant Software to Planning and Manufacturing Control [8] On the launching base, the user can load in the homepage a file which contained for each parts identification data, like: type, code, order’s number, dimension of semi-finished, number of pieces, etc.
Figure 4 shows the Excel active sheet where the user loads the identification data for each piece who will be manufactured.
Loading the data in active sheet Fig. 5.
Bar codes provide fast, easy, and accurate method of data manipulation.
VBA Variant Software to Planning and Manufacturing Control [8] On the launching base, the user can load in the homepage a file which contained for each parts identification data, like: type, code, order’s number, dimension of semi-finished, number of pieces, etc.
Figure 4 shows the Excel active sheet where the user loads the identification data for each piece who will be manufactured.
Online since: October 2011
Authors: Lin Hui Li, Yi Bing Zhao, Jing Lian, Shu Mei Wu
Take the calculation of fundamental matrix for example, the solving processes are as follows:
(1) Take the features of extracting Harris corners as the data to be matched
Γ is the probability of at least one benign sampling subset been achieved, should be greater than 0.95, expresses the proportion of the error matching pairs accounting for data set, p expresses the number of data points in basic subset
(5) ① randomly sample a basic subset in data set with =8. ② A fundamental matrix is calculated based on the basic subset use least-squares algorithm. ③ Appraise the compatibility of: Calculate the distances between each point’s pixel to its corresponding epipolar, being greater than a certain threshold is considered as error matching pairs, less than is considered as correct matching pairs
The switching function is as follows: (10) The average slip ratio is selected as the control target in order to control the slip ratio, which not only has the same effect with the reduction of function max (Ti/Ni),but also solves the insufficient of traction force when the body traversing rough terrain .
Reduction of slip ratio causes the reduction of Ti/Ni preventing soil from failure.
Γ is the probability of at least one benign sampling subset been achieved, should be greater than 0.95, expresses the proportion of the error matching pairs accounting for data set, p expresses the number of data points in basic subset
(5) ① randomly sample a basic subset in data set with =8. ② A fundamental matrix is calculated based on the basic subset use least-squares algorithm. ③ Appraise the compatibility of: Calculate the distances between each point’s pixel to its corresponding epipolar, being greater than a certain threshold is considered as error matching pairs, less than is considered as correct matching pairs
The switching function is as follows: (10) The average slip ratio is selected as the control target in order to control the slip ratio, which not only has the same effect with the reduction of function max (Ti/Ni),but also solves the insufficient of traction force when the body traversing rough terrain .
Reduction of slip ratio causes the reduction of Ti/Ni preventing soil from failure.
Online since: March 2015
Authors: Davide Campanella, Livan Fratini, Gianluca Buffa, Marion Merklein
Constant friction factor m was considered, equal to 0.7 (calculated using an inverse approach using data from a preliminary numerical campaign).
In this study, the following process parameters were used: angular velocity to 5.235 rad/sec, reduction 50%.
Table 2: Comparison simulation data for the LFW and ARB processes Concerning the obtained data, it can be observed that in ARB process high pressure and strain rate are reached, while for LFW high temperature values are reached.
As a matter of fact, the reference time is related to the beginning of bonding, i.e. when the axial shortening, namely the reduction in height of the specimen, [4] has not occurred yet.
From the reported data, it can be concluded that pressure and temperature seems to be as the two most influencing variables for effective bonding.
In this study, the following process parameters were used: angular velocity to 5.235 rad/sec, reduction 50%.
Table 2: Comparison simulation data for the LFW and ARB processes Concerning the obtained data, it can be observed that in ARB process high pressure and strain rate are reached, while for LFW high temperature values are reached.
As a matter of fact, the reference time is related to the beginning of bonding, i.e. when the axial shortening, namely the reduction in height of the specimen, [4] has not occurred yet.
From the reported data, it can be concluded that pressure and temperature seems to be as the two most influencing variables for effective bonding.
Online since: November 2013
Authors: Corrado lo Storto
The size of sample was kept small to assure acceptable accuracy and completeness of data.
Data shows that scale diseconomies are important and 25 companies are scale inefficient.
Table 4 displays data relative to scale inefficiencies and returns to scale typologies for scale inefficient companies.
Acknowledgements The support provided by Daniela Di Mario to collect data is gratefully acknowledged.
Rappuoli, Optimal scale in the Italian gas distribution industry using data envelopment analysis, Omega Vol. 36 (2008), pp. 325–336
Data shows that scale diseconomies are important and 25 companies are scale inefficient.
Table 4 displays data relative to scale inefficiencies and returns to scale typologies for scale inefficient companies.
Acknowledgements The support provided by Daniela Di Mario to collect data is gratefully acknowledged.
Rappuoli, Optimal scale in the Italian gas distribution industry using data envelopment analysis, Omega Vol. 36 (2008), pp. 325–336
Online since: December 2004
Authors: Hui Wu, S.Y. Yu, Hong Tao Zhu, Bin Lin
This simulation, unlike other simulation techniques, can
provide new data and insights on nanometric machining; which cannot be obtained readily in any
other theory or experiment.
The α- to-β transformation results in a significant reduction of the atomic volume from 18.38o,A3 to 14.19o,A3 per atom or a densification reduction of about 22.8%.
Because β-silicon phase only existed under the high pressure and wasn't stable during the whole cutting process, these data couldn't explain absolutely the change of volume.
So, it needs to testify with more theory and experimental data.
The α- to-β transformation results in a significant reduction of the atomic volume from 18.38o,A3 to 14.19o,A3 per atom or a densification reduction of about 22.8%.
Because β-silicon phase only existed under the high pressure and wasn't stable during the whole cutting process, these data couldn't explain absolutely the change of volume.
So, it needs to testify with more theory and experimental data.
Online since: May 2009
Authors: Stoyan N. Groudev, Plamen S. Georgiev, Irena Spasova, Marina Nicolova
Some data about the application of such methods for remediation of
contaminated soils in two uranium deposits in Bulgaria are shown in this paper.
Data about the chemical composition and some essential geotechnical parameters of the soil are shown in Table 1.
Data about some essential parameters of the soil are shown in Table 1.
The data from Table 3 revealed that the toxicity of this soil was due not only to the radionuclides and heavy metals but also to the high acidity, which was further increased during the treatment.
Furthermore, the reduction of U 6+ decreases when sulphate-reducing bacteria not able to carry out an enzymatic reduction of this ion are dominant over the iron-reducing bacteria [22, 23].
Data about the chemical composition and some essential geotechnical parameters of the soil are shown in Table 1.
Data about some essential parameters of the soil are shown in Table 1.
The data from Table 3 revealed that the toxicity of this soil was due not only to the radionuclides and heavy metals but also to the high acidity, which was further increased during the treatment.
Furthermore, the reduction of U 6+ decreases when sulphate-reducing bacteria not able to carry out an enzymatic reduction of this ion are dominant over the iron-reducing bacteria [22, 23].
Online since: November 2014
Authors: Jun Pan, Su Xian Chen, Zhi Guo Cheng
New features and functions of WSNs, such as in-network data reduction, multimedia streaming, etc.
At the same time, gateway has an embedded database to store data received from WSN sink node which makes data management easy.
Software structure of gateway 1) Data and command receiving.
The data packet received from sink node through USB communication includes TinyOS header, XMesh header, XSensor header, data and CRC.
A child process communicates with a client, reading and writing data.
At the same time, gateway has an embedded database to store data received from WSN sink node which makes data management easy.
Software structure of gateway 1) Data and command receiving.
The data packet received from sink node through USB communication includes TinyOS header, XMesh header, XSensor header, data and CRC.
A child process communicates with a client, reading and writing data.
Online since: September 2007
Authors: Nicolas G. Wright, Alton B. Horsfall, Ming Hung Weng, Rajat Mahapatra
Fitting the trap assisted conduction
model to the experimental data.
0.0 0.1 0.2 0.3 0.4 0.5
Gate Voltage (V)
10-8
10-7
10-6
10-5
Current (A)
0%H2
25%H2
50%H2
75%H2
100%H2
Fig. 8.
Figure 7 shows the fitting of this model to the experimental data.
It can be seen from the figure, that for temperatures above 300 o C, the model and the data agree well.
The results from the data analysis show two possible detection methods, depending on the method selected.
Because neither of the two models used to describe the data from the sensor, contain a term relating to the density of traps at the SiC/SiO2 interface, this structure and technique offers a realistic possibility of low drift sensors for application in high temperature environments.
Figure 7 shows the fitting of this model to the experimental data.
It can be seen from the figure, that for temperatures above 300 o C, the model and the data agree well.
The results from the data analysis show two possible detection methods, depending on the method selected.
Because neither of the two models used to describe the data from the sensor, contain a term relating to the density of traps at the SiC/SiO2 interface, this structure and technique offers a realistic possibility of low drift sensors for application in high temperature environments.
Online since: August 2009
Authors: Lorenzo Sevilla Hurtado, Francisco de Sales Martín Fernández, María Jesús Martín Sánchez, María José Cano Iglesias
Finally, after these virtual applications have been formed, it is necessary to develop different
analysis and evaluation tools to obtain data about the affectivity of its implantation, making a feedback
with the obtained results.
One of the most important aspects in this project is the design of the questionnaire that it will use in order to obtain the data on the effectiveness of the implantation of the different virtualisations.
This reduction in some cases has been near to the 50 %.
Additionally, together to these quantitative aspects of the analyses, the opinions expressed by the students, although are not quantifiable numerically, allow to obtain additional data of great value.
Electronic Data System Corporation (2003)
One of the most important aspects in this project is the design of the questionnaire that it will use in order to obtain the data on the effectiveness of the implantation of the different virtualisations.
This reduction in some cases has been near to the 50 %.
Additionally, together to these quantitative aspects of the analyses, the opinions expressed by the students, although are not quantifiable numerically, allow to obtain additional data of great value.
Electronic Data System Corporation (2003)
Online since: October 2025
Authors: Tamar Giorgadze, Vasil Bregadze, Eter Gelagutashvili, Irine Khutsishvili
Little is known about nanoparticles’ influence on plant cells, and the data is very contradictory [10].
The growth was measured by optical density by monitoring changes in absorption at wavelength 560 nm using the UV–visible spectrometer Cintra 10e (GBC Scientific Equipment Pty Ltd, Australia) with a digital data acquisition system, wavelength range 190–1100 nm.
The chemical reduction of Au3+ on PAMAM dendrimers was conducted by NaBH4.
In all mentioned cases, the content of spirulina was determined by the instrumental data [18].
Arthrospira platensis Content Intact cells Frozen at –80°C Frozen at –196°C Irradiated with 100 kGy Chl a (spirulina) 13.81 13.23 20.48 17.90 Chl a (G4NH2 + spirulina) 13.67 13.33 22.16 18.62 Chl a (G4NH2–Au NCs + spirulina) 20.65 20.48 27.49 20.39 C-PC (spirulina) 0.12 0.14 0.19 0.15 C-PC (G4NH2 + spirulina) 0.12 0.14 0.19 0.15 C-PC (G4NH2–Au NCs + spirulina) 0.16 0.19 0.26 0.20 These data are in good agreement with the literature data, where a method for restoring the absorption coefficients of spirulina pigments using the absorption spectra of native cells is considered.
The growth was measured by optical density by monitoring changes in absorption at wavelength 560 nm using the UV–visible spectrometer Cintra 10e (GBC Scientific Equipment Pty Ltd, Australia) with a digital data acquisition system, wavelength range 190–1100 nm.
The chemical reduction of Au3+ on PAMAM dendrimers was conducted by NaBH4.
In all mentioned cases, the content of spirulina was determined by the instrumental data [18].
Arthrospira platensis Content Intact cells Frozen at –80°C Frozen at –196°C Irradiated with 100 kGy Chl a (spirulina) 13.81 13.23 20.48 17.90 Chl a (G4NH2 + spirulina) 13.67 13.33 22.16 18.62 Chl a (G4NH2–Au NCs + spirulina) 20.65 20.48 27.49 20.39 C-PC (spirulina) 0.12 0.14 0.19 0.15 C-PC (G4NH2 + spirulina) 0.12 0.14 0.19 0.15 C-PC (G4NH2–Au NCs + spirulina) 0.16 0.19 0.26 0.20 These data are in good agreement with the literature data, where a method for restoring the absorption coefficients of spirulina pigments using the absorption spectra of native cells is considered.