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Online since: August 2013
Authors: Dong Mei Liu, Fan Wang, Ling Yan Chen, Chao Wei
Measuring signal sampling means sampling the sparse data which is also called the process of dimensional reduction.
(3) Fusion method based on CS Data in the Compressive Sensing domain is not a simple grey scale data.
The data of this sample matrix is 30% of the original and it is the required Compressive Sensing data.
The amount of data is huge.
But if we adopt Compressive Sensing data instead, the amount of data will be 30% of the original and the disposed data will be decreased two-thirds.
(3) Fusion method based on CS Data in the Compressive Sensing domain is not a simple grey scale data.
The data of this sample matrix is 30% of the original and it is the required Compressive Sensing data.
The amount of data is huge.
But if we adopt Compressive Sensing data instead, the amount of data will be 30% of the original and the disposed data will be decreased two-thirds.
Online since: May 2014
Authors: Mao De Ma, Ying Li
A 2.5Gb/s 16QAM LDPC-OFDM data with Logistic mapped chaos scrambling are successfully transmitted over 40km SSMF.
Typically, the data encryption is performed at higher layers of the optical access system.
As described above, the LDPC-OFDM data is encrypted by the scrambling matrices.
A 2.5Gb/S 16-QAM OFDM data with Logistic mapped and LDPC coding is transmitted over 40km SSMF successfully.
The illegal receiver cannot detect the useful data from the legal receiver due to the unknown secure logistic key consisting of the initial value.
Typically, the data encryption is performed at higher layers of the optical access system.
As described above, the LDPC-OFDM data is encrypted by the scrambling matrices.
A 2.5Gb/S 16-QAM OFDM data with Logistic mapped and LDPC coding is transmitted over 40km SSMF successfully.
The illegal receiver cannot detect the useful data from the legal receiver due to the unknown secure logistic key consisting of the initial value.
Online since: January 2019
Authors: Boris Moyzes, Kirill Kuvshinov, Maxim Vedyashkin, Olga Surzhikova, Alexey Gavrilin
Determination of Optimal Milling Modes by Means of
Shock-Vibration Load Reduction on Tool and Peak-Factor Equipment
Alexey Gavrilin1,a, Boris Moyzes1,b*, Kirill Kuvshinov1,с,
Maxim Vedyashkin1,d and Оlga Surzhikova2,e
1Tomsk Polytechnic University, 30 Lenin Avenue, 634050 Tomsk, Russia
2Czech Technical University in Prague, Zikova 1903/4, 166 36 Prague, Czech Republic
atom-gawral@list.ru, bmbb@tpu.ru, ckuvshinov@tpu.ru, dvedyashkin@tpu.ru, eolga_surzhikova@mail.ru
Keywords: Milling machine, vibration diagnostics, vibration level, technological mode, peak-factor.
Over time, the wear of machining equipment parts increases the vibration level; it leads to significant reduction of roughness and accuracy of the processed surfaces, reliability of equipment and safety of an operator [1, 2].
According to the results of the recording data over three channels (X, Y, Z), time diagrams and spectrograms for each experiment 1-27 were constructed (Table 2).
Experiment plan Registered parameters Calculated parameters s [mm/min] ар [mm] n [rpm] Peak [m/s] Vrms P [kW] PF W, [cm3/min] 1 20 0.5 400 5 1 0.02 5.00 1.25 2 40 5.63 1.11 0.05 5.07 2.50 3 63 5.24 1.19 0.15 4.40 3.94 4 20 1 7.66 1.55 0.21 4.94 2.50 5 40 8.07 1.65 0.36 4.89 5.00 6 63 7.75 1.96 3.80 3.95 7.88 7 20 1.5 3.53 0.73 0.02 4.84 3.75 8 40 4.62 1.03 0.03 4.49 7.50 9 63 4.44 0.92 0.04 4.83 11.81 10 20 0.5 500 5.21 1.08 0.15 4.82 1.25 11 40 5.53 1.43 0.21 3.87 2.50 12 63 6.19 1.40 0.33 4.42 3.94 13 20 1 5.45 0.85 0.01 6.41 2.50 14 40 6.47 1.53 0.54 4.23 5.00 15 63 5.58 1.45 0.39 3.85 7.88 16 20 1.5 5.2 1.3 0.25 4.00 3.75 17 40 5.05 1.24 0.18 4.07 7.50 18 63 15.76 2.82 5.65 5.59 11.81 19 20 0.5 630 5.93 1.29 0.36 4.60 1.25 20 40 8.87 1.58 0.90 5.61 2.50 21 63 9.96 2.55 3.68 3.91 3.94 22 20 1 13.25 3.19 9.47 4.15 2.50 23 40 12.12 4.41 21.79 2.75 5.00 24 63 17.11 4.24 9.02 4.04 7.88 25 20 1.5 7.90 2.37 5.00 3.33 3.75 26 40 9.67 3.06 16.64 3.03 7.50 27 63 12.42 2.86 7.65 4.34 11.81 The Data
Over time, the wear of machining equipment parts increases the vibration level; it leads to significant reduction of roughness and accuracy of the processed surfaces, reliability of equipment and safety of an operator [1, 2].
According to the results of the recording data over three channels (X, Y, Z), time diagrams and spectrograms for each experiment 1-27 were constructed (Table 2).
Experiment plan Registered parameters Calculated parameters s [mm/min] ар [mm] n [rpm] Peak [m/s] Vrms P [kW] PF W, [cm3/min] 1 20 0.5 400 5 1 0.02 5.00 1.25 2 40 5.63 1.11 0.05 5.07 2.50 3 63 5.24 1.19 0.15 4.40 3.94 4 20 1 7.66 1.55 0.21 4.94 2.50 5 40 8.07 1.65 0.36 4.89 5.00 6 63 7.75 1.96 3.80 3.95 7.88 7 20 1.5 3.53 0.73 0.02 4.84 3.75 8 40 4.62 1.03 0.03 4.49 7.50 9 63 4.44 0.92 0.04 4.83 11.81 10 20 0.5 500 5.21 1.08 0.15 4.82 1.25 11 40 5.53 1.43 0.21 3.87 2.50 12 63 6.19 1.40 0.33 4.42 3.94 13 20 1 5.45 0.85 0.01 6.41 2.50 14 40 6.47 1.53 0.54 4.23 5.00 15 63 5.58 1.45 0.39 3.85 7.88 16 20 1.5 5.2 1.3 0.25 4.00 3.75 17 40 5.05 1.24 0.18 4.07 7.50 18 63 15.76 2.82 5.65 5.59 11.81 19 20 0.5 630 5.93 1.29 0.36 4.60 1.25 20 40 8.87 1.58 0.90 5.61 2.50 21 63 9.96 2.55 3.68 3.91 3.94 22 20 1 13.25 3.19 9.47 4.15 2.50 23 40 12.12 4.41 21.79 2.75 5.00 24 63 17.11 4.24 9.02 4.04 7.88 25 20 1.5 7.90 2.37 5.00 3.33 3.75 26 40 9.67 3.06 16.64 3.03 7.50 27 63 12.42 2.86 7.65 4.34 11.81 The Data
Online since: July 2006
Authors: G. Madhusudhan Reddy, K. Satya Prasad, A.K. Mukhopadhyay, V.K. Varma, Vikas Kumar, S.V. Kamat
It is the purpose of
this article to provide quantitative data and microstructural analysis to demonstrate that small additions of
either Ag or Sc to Al-Zn-Mg and Al-Zn-Mg-Cu alloys bring about very significant improvement in SCC
resistance and weldability, respectively.
The decrease in the stress corrosion crack velocity in the Cu-bearing alloys can, therefore, be related to both (1) reduced rate of corrosion reaction /dissolution owing to the reduction in the potential difference between the g.b. and the grain body, and the consequent (2) reduced rate of hydrogen ion reduction and hydrogen absorption at the crack tip.
The data demonstrate that (1) the KISCC values of peak aged 7017, 7010 (EC = 30.6 %IACS) and 7449 (EC = 31.0 %IACS) alloys are limited to 15 MPam1/2, (2) the KISCC values of 7010 T7451 alloy (EC = 38.5 %IACS) is 25 MPam 1/2, and that of peak aged 7449 alloy upon RRA (EC = 36.3 %IACS) increased to 23 MPam 1/2, (3) Sc addition improves the KISCC values of the peak aged 7017 and 7010 alloys to 23 MPam1/2, and (4) trace addition of Ag improves the KISCC values of peak aged 7017 and 7010 alloys to 23 MPam 1/2.
Corresponding reductions in the residual tensile stresses in the interior of the alloy samples would, therefore, 10 15 20 25 30 400 450 500 550 600 LONGITUDINAL PROOF STRESS (MPa) K1SCC, MPam 1/2 (L-T) 7017+Ag (T651) 7017 (T651) 7010 (T7451) 7017+Sc (T651) 7010+Ag (T651) 7010 (T651) 7010+Sc (T651) 7449 (T651) 7449 (RRA) Figure 1.
The noticeable features in Figures 4(a) and (b) are that (1) the base alloys are most susceptible to hot cracking, and as a result, the total hot cracking length for the base alloys increased considerably compared to the alloy 7020, (2) in excess of augmented strain values of ≥ 3.5%, the 7010 alloy sample broke into two pieces [marked by the broken line in Figure 4(a)], and (3) there are considerable reductions in the TCLs for the alloys 7010 and 7449 containing either Sc or Ag.
The decrease in the stress corrosion crack velocity in the Cu-bearing alloys can, therefore, be related to both (1) reduced rate of corrosion reaction /dissolution owing to the reduction in the potential difference between the g.b. and the grain body, and the consequent (2) reduced rate of hydrogen ion reduction and hydrogen absorption at the crack tip.
The data demonstrate that (1) the KISCC values of peak aged 7017, 7010 (EC = 30.6 %IACS) and 7449 (EC = 31.0 %IACS) alloys are limited to 15 MPam1/2, (2) the KISCC values of 7010 T7451 alloy (EC = 38.5 %IACS) is 25 MPam 1/2, and that of peak aged 7449 alloy upon RRA (EC = 36.3 %IACS) increased to 23 MPam 1/2, (3) Sc addition improves the KISCC values of the peak aged 7017 and 7010 alloys to 23 MPam1/2, and (4) trace addition of Ag improves the KISCC values of peak aged 7017 and 7010 alloys to 23 MPam 1/2.
Corresponding reductions in the residual tensile stresses in the interior of the alloy samples would, therefore, 10 15 20 25 30 400 450 500 550 600 LONGITUDINAL PROOF STRESS (MPa) K1SCC, MPam 1/2 (L-T) 7017+Ag (T651) 7017 (T651) 7010 (T7451) 7017+Sc (T651) 7010+Ag (T651) 7010 (T651) 7010+Sc (T651) 7449 (T651) 7449 (RRA) Figure 1.
The noticeable features in Figures 4(a) and (b) are that (1) the base alloys are most susceptible to hot cracking, and as a result, the total hot cracking length for the base alloys increased considerably compared to the alloy 7020, (2) in excess of augmented strain values of ≥ 3.5%, the 7010 alloy sample broke into two pieces [marked by the broken line in Figure 4(a)], and (3) there are considerable reductions in the TCLs for the alloys 7010 and 7449 containing either Sc or Ag.
Online since: December 2012
Authors: Guang Meng, Hong Guang Li, Rui Zhu
Based on the deep analysis of the working principle and using equipment, the air separation unit product data management (PDM) system is developed by Visual Basic (VB) in this paper develops.
Product Data Management (PDM) refers to integration and management the information and application of products and product data which distributed between various systems and media in every enterprise [4].
It uses software technology as the foundation, product as the core, and realizes integrated management of the database system among data, process, and resources which relates with product.
PDM can enhance the efficiency of product design, manufacture and delivery; product data management system saves and provides the important information data of product design and manufacture, and provides products maintain support, namely the products whole life management.
Some “hot spots” are indicated in the area, and detailed information such as particular data set, access tool or technology could be found by clicking on these areas.
Product Data Management (PDM) refers to integration and management the information and application of products and product data which distributed between various systems and media in every enterprise [4].
It uses software technology as the foundation, product as the core, and realizes integrated management of the database system among data, process, and resources which relates with product.
PDM can enhance the efficiency of product design, manufacture and delivery; product data management system saves and provides the important information data of product design and manufacture, and provides products maintain support, namely the products whole life management.
Some “hot spots” are indicated in the area, and detailed information such as particular data set, access tool or technology could be found by clicking on these areas.
Online since: June 2012
Authors: Jiang Tao Lv, Qiong Chan Gu
The data size of the object can be reduced by it.
The data processing speed is increased by it based on keeping the useful information.
In this paper, the FastICA algorithm is used to process the spectroscopic data.
The spectroscopic data is converted to the two-dimension form from the EEM matrix form.
The SVM is used to process the data after dimensionality reduction to realize the fast detection and identification.
The data processing speed is increased by it based on keeping the useful information.
In this paper, the FastICA algorithm is used to process the spectroscopic data.
The spectroscopic data is converted to the two-dimension form from the EEM matrix form.
The SVM is used to process the data after dimensionality reduction to realize the fast detection and identification.
Online since: April 2014
Authors: Hai Dong Hu, Jin Xia Diao
On the software side, gives the effect of a schematic diagram of a data processing program, summed up the real-time data acquisition methods section.
Theory and Design of System Now PLC control and PC data processing, control has been done in this area is relatively mature.
There are many ways to achieve the I/O port serial data communication, and can be very handy for graphics processing, the data is saved.
And can generate test reports, test personnel to facilitate the processing of the data.
Conclusion Software monitoring system records returned by each node monitoring data stored in the database, easy access to each node monitoring data history.
Theory and Design of System Now PLC control and PC data processing, control has been done in this area is relatively mature.
There are many ways to achieve the I/O port serial data communication, and can be very handy for graphics processing, the data is saved.
And can generate test reports, test personnel to facilitate the processing of the data.
Conclusion Software monitoring system records returned by each node monitoring data stored in the database, easy access to each node monitoring data history.
Online since: January 2013
Authors: Hayato Sone, Sumio Hosaka, Anh Hoang Truong, Tomoyuki Kawakami
Fabrication of Hole-type Microcantilevers using FIB
and its Evaluations
Anh Hoang Truong 1,a, Hayato Sone1,b, Tomoyuki Kawakami2
and Sumio Hosaka1,c
1 Department of Production Science and Technology, Graduate School of Engineering,
Gunma University, Japan
2 Department of Production Science and Technology, Faculty of Engineering,
Gunma University, Japan
1-5-1 Tenjin-cho, Kiryu 376-8515, Japan
a t11801373@gunma-u.ac.jp, b sone@el.gunma-u.ac.jp, c hosaka@el.gunma-u.ac.jp
Key words: biosensor, microcantilever, FIB, resonance frequency, Q value, mass sensitivity, reduction of viscous resistance.
Therefore, we could conclude that simulation provided valuable data to estimate cantilever’s properties before FIB processing.
The resonance frequency and quality (Q) factor were calculated from these data.
It indicates that changing amount of resonance frequency caused by a same mass reduction due to hole- fabrication.
Therefore, we could conclude that simulation provided valuable data to estimate cantilever’s properties before FIB processing.
The resonance frequency and quality (Q) factor were calculated from these data.
It indicates that changing amount of resonance frequency caused by a same mass reduction due to hole- fabrication.
Online since: May 2012
Authors: Rajesh J. Tayade, Manoj A. Lazar, H. C. Bajaj, R. V. Jasra
Literature contains a large amount of data on IR-spectral regions of deformation vibrations of adsorbed water molecules (~ 1620 cm-1) and was observed in all catalysts at 1622-1630 cm-1 range [29].
PNA showed 77-89 % decrease in concentration, measured from the UV-Vis absorbance data and indicated in the text as degradation, and it was 83-92 % for DNBA with different samples of TiO2 catalysts after 4 hours of UV light exposure.
Catalyst p- nitroaniline m- dinitrobenzoic acid A B C D A B C D P25 77 5.0 1.3 70 83 3.6 1.3 79 SG 89 5.7 1.4 59 87 2.8 1.2 77 SC 79 4.6 1.2 44 92 2.3 1.1 71 NC 30 - - 00 05 - - 00 A: Percentage degradation, after 4 hours of UV light irradiation, determined by UV-Vis spectrophotometer B: Initial Rate of degradation calculated using UV-visible absorbance data ( ×106 mol min-1) C: Rate Constant calculated using UV-visible absorbance data (k×102min-1) D: Percentage TOC removal after 4 hours of UV light irradiation (Initial TOC values for PNA= 26 mg/ L, DNBA= 24 mg/ L, ) NC: No catalysts (blank run) The initial rate and rate constant from UV-vis analysis data for the degradation of PNA and DNBA were determined as pseudo first-order reaction kinetics and are given in Table 1.
Here PNA showed 44-70 % reduction in TOC and it was71-79 % for DNBA, by using different TiO2 samples after 4 hours of UV light incidence.
Siemieniewska, Reporting Physisorption Data For Gas/Solid Systems with Special Reference to the Determination of Surface Area and Porosity, Pure Appl.
PNA showed 77-89 % decrease in concentration, measured from the UV-Vis absorbance data and indicated in the text as degradation, and it was 83-92 % for DNBA with different samples of TiO2 catalysts after 4 hours of UV light exposure.
Catalyst p- nitroaniline m- dinitrobenzoic acid A B C D A B C D P25 77 5.0 1.3 70 83 3.6 1.3 79 SG 89 5.7 1.4 59 87 2.8 1.2 77 SC 79 4.6 1.2 44 92 2.3 1.1 71 NC 30 - - 00 05 - - 00 A: Percentage degradation, after 4 hours of UV light irradiation, determined by UV-Vis spectrophotometer B: Initial Rate of degradation calculated using UV-visible absorbance data ( ×106 mol min-1) C: Rate Constant calculated using UV-visible absorbance data (k×102min-1) D: Percentage TOC removal after 4 hours of UV light irradiation (Initial TOC values for PNA= 26 mg/ L, DNBA= 24 mg/ L, ) NC: No catalysts (blank run) The initial rate and rate constant from UV-vis analysis data for the degradation of PNA and DNBA were determined as pseudo first-order reaction kinetics and are given in Table 1.
Here PNA showed 44-70 % reduction in TOC and it was71-79 % for DNBA, by using different TiO2 samples after 4 hours of UV light incidence.
Siemieniewska, Reporting Physisorption Data For Gas/Solid Systems with Special Reference to the Determination of Surface Area and Porosity, Pure Appl.
Online since: April 2007
Authors: Qing Guo Liu, Zhong Bao Yu, Sheng Wen Zhong, Li Hua Xu, Fang Lian
Increasing
polarization of the LiCoO2 cathode, especially at overcharge situation, and the irreversible change of
cathode structure led to reduction of discharge capacity and voltage plateau of batteries.
Three voltage data were measured simultaneously: cathode vs.
It indicates that the measurement data of anode and cathode vs.
These data indicated that the polarization of anode, cathode and total battery were remarkably increased after overcharging.
Three voltage data were measured simultaneously: cathode vs.
It indicates that the measurement data of anode and cathode vs.
These data indicated that the polarization of anode, cathode and total battery were remarkably increased after overcharging.