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Online since: May 2010
Authors: Ke Jun Li, Jian Guo Zhao, Lin Niu, Zhen Yu Zhou
It is based on the
principle of structural risk minimization, which aims at minimizing the bound on the generalization
error (i.e., error made by the learning machine on data unseen during training) rather than the
minimizing the mean square error over the data set.
Training samples for the RVM framework are extracted form the simulation data.
The TSA data set has a large percentage of stable cases, with the ratio of stable to unstable cases of approximately 10:1.
The resulting classifier is then tested using the testing data sets for performance.
[6] N.Kaplowicz, "Learning from imbalanced data sets: a comparison of various strategies," Proceeding of learning from Imbalanced Data Sets.AAAI Press.Menlo Park.CA.
Training samples for the RVM framework are extracted form the simulation data.
The TSA data set has a large percentage of stable cases, with the ratio of stable to unstable cases of approximately 10:1.
The resulting classifier is then tested using the testing data sets for performance.
[6] N.Kaplowicz, "Learning from imbalanced data sets: a comparison of various strategies," Proceeding of learning from Imbalanced Data Sets.AAAI Press.Menlo Park.CA.
Online since: June 2013
Authors: Da Fang Wu, Yue Wu Wang, Zhen Tong Gao, Jia Ling Yang, Shuang Wu
To obtain the real temperature value, a simple linear interpolation is conducted on the data in cells and on either side of temperature .
As the calibrated temperature value is finally obtained via linear interpolation between the two temperature data values, the error is very small in global scope.
This increase in significant data does not affect the conversion time of the real-time control process using the above conversion principle.
For the K-type thermocouple, ‘E-T’ conversion of data in the range 0-1372 oC was carried out using both the proposed method and the piecewise linearization method.
(In Chinese) [7] A.A Puntambekar: Advanced Data Structures and Algorithms (Technical Publications, 2008)
As the calibrated temperature value is finally obtained via linear interpolation between the two temperature data values, the error is very small in global scope.
This increase in significant data does not affect the conversion time of the real-time control process using the above conversion principle.
For the K-type thermocouple, ‘E-T’ conversion of data in the range 0-1372 oC was carried out using both the proposed method and the piecewise linearization method.
(In Chinese) [7] A.A Puntambekar: Advanced Data Structures and Algorithms (Technical Publications, 2008)
Online since: February 2009
Authors: C. Mbohwa
It compares the voice data with the classified data patterns in the
voice data memory system and judges whether the driver's condition is suitable for driving.
The recording of "composed voice data" was done after a signal was given.
Figure 3 shows one of the subjects' voice data.
The voice data was analyzed using MATLAB.
(Basic data); "happy"---- Speaking a little bit faster.
The recording of "composed voice data" was done after a signal was given.
Figure 3 shows one of the subjects' voice data.
The voice data was analyzed using MATLAB.
(Basic data); "happy"---- Speaking a little bit faster.
Online since: July 2013
Authors: Mihail Lilov, Thomas Siebel
Analyzes of the measured data is conducted in Matlab.
Reference measurement conducted at 20 °C. a) CC coefficients calculated from original data, b) CC coefficients calculated from temperature compensated data.
The solid lines correspond to the temperature compensated data.
Original data (dotted lines) and temperature compensated data (solid lines).
Original data (dotted lines) and temperature compensated data (solid lines).
Reference measurement conducted at 20 °C. a) CC coefficients calculated from original data, b) CC coefficients calculated from temperature compensated data.
The solid lines correspond to the temperature compensated data.
Original data (dotted lines) and temperature compensated data (solid lines).
Original data (dotted lines) and temperature compensated data (solid lines).
Online since: May 2005
Authors: H. Bley, C. Zenner, M. Bossmann
In order to analyze measuring data from the manufacturing process, these
data first have to be collected and condensed.
Thus, a PPR (Product, Process and Resource) model is generated that represents a virtual model of the real factory based on an integrated data model.
In production, the measuring data can be merged and compared with the appropriate measurement and quality features.
In this way, it is able to realize product and resource variants whose 3D data can be used for FEM and kinematical simulations.
Therefore, new methods in data storage have to be discovered to achieve a structured data storage of simulation models with their results of stresses, deformation degrees and the deformed model.
Thus, a PPR (Product, Process and Resource) model is generated that represents a virtual model of the real factory based on an integrated data model.
In production, the measuring data can be merged and compared with the appropriate measurement and quality features.
In this way, it is able to realize product and resource variants whose 3D data can be used for FEM and kinematical simulations.
Therefore, new methods in data storage have to be discovered to achieve a structured data storage of simulation models with their results of stresses, deformation degrees and the deformed model.
Online since: July 2013
Authors: Min Seok Jie, Won Hyuck Choi
In Smart WEMS system, microprocessor used as a CPU handle sensor data, and transmits the data value with Zigbee communication and implemented a function to convert to a consistent packet type.
Power sensor used in this system transmits 5byte type data according to network protocol to monitor program.
Connected Zigbee sink in USB port and transmit data to monitoring server using in/output.
As shown in diagram below, data inflows in every 10 second, total data gather at 6 second and monthly data compared using virtual sequencing.
In Smart WEMS system, microprocessor used as a CPU handle sensor data, and transmits the data value with Zigbee communication and implemented a function to convert to a consistent packet type.
Power sensor used in this system transmits 5byte type data according to network protocol to monitor program.
Connected Zigbee sink in USB port and transmit data to monitoring server using in/output.
As shown in diagram below, data inflows in every 10 second, total data gather at 6 second and monthly data compared using virtual sequencing.
In Smart WEMS system, microprocessor used as a CPU handle sensor data, and transmits the data value with Zigbee communication and implemented a function to convert to a consistent packet type.
Online since: November 2011
Authors: Wen Ming Cheng, Gang Li, Hui Xie
The exhaust gas temperature, inlet and outlet water temperatures were measured through the data acquisition system and were fed to the computer.
Emission reduction potential from the combustion of soymethyl ester fuel blended with petroleum distillate fuel.
Emission reduction potential from the combustion of soymethyl ester fuel blended with petroleum distillate fuel.
Online since: July 2011
Authors: Hang Xin Wei, Wei Wu, Zhi Guo Wang
Acknowledgements
During the development of the downhole robot, senior engineer Zhao YJ in YanChang oil field supplied some data of the oil well.
Jorgen, Reduction of cost with new well intervention technology- well tractors, Proceedings of Offshore Europe Conference, Aberdeen, Society of Petroleum Engineers. (1995)407-414
Jorgen, Reduction of cost with new well intervention technology- well tractors, Proceedings of Offshore Europe Conference, Aberdeen, Society of Petroleum Engineers. (1995)407-414
Online since: June 2012
Authors: Xiang Hua Ren, Yun Xia Jiang
It is a Chinese corpus contains a total of 24000 sentences, 120 sentences spoken by each of 200 speakers from different dialect regions of China, and the data is recorded simultaneously with four microphones (Mic1: SHURE SM58, Mic2: ANC-700 Head-mounted, Mic3: TELEX M-60, Mic4: ACOUSTIC MAGIC) with sampling frequency of 22kHz.
[4] Saeed V., in : Advanced Digital Signal Processing and Noise Reduction, edited by John Wiley & Sons Inc(2005)
[4] Saeed V., in : Advanced Digital Signal Processing and Noise Reduction, edited by John Wiley & Sons Inc(2005)