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Online since: May 2003
Authors: Yuri Estrin, Ralph Jörg Hellmig, Hyoung Seop Kim
Experimental
To confirm the calculations performed literature data as well as our own experimental results were
used.
The experimental data for the nanocrystalline copper presented in the figure were obtained from [11].
For all strain rates shown the stress first increases and then decreases with grain size reduction.
Fig. 4: Log-normal crystallite size distribution of 4 pass ECAP copper (TEM data - present study).
Figure 5 compares the simulated data with experimental results obtained from ECAP experiments.
The experimental data for the nanocrystalline copper presented in the figure were obtained from [11].
For all strain rates shown the stress first increases and then decreases with grain size reduction.
Fig. 4: Log-normal crystallite size distribution of 4 pass ECAP copper (TEM data - present study).
Figure 5 compares the simulated data with experimental results obtained from ECAP experiments.
Online since: June 2014
Authors: Peng Xu, Zheng Wei Li, Liang Zhang
Survey Method
This survey was conducted through the following procedure: first, survey subjects were identified; second, data of interest was collected through the facility management company; finally, data was post-processed and analyzed.
Categorization of Buildings (Left: by year completed, Right: by gross floor area) Data Collection: Energy consumption data: Monthly electric consumption data was collected and provided by the facility management company, which manages these twenty Class A office buildings.
Compared with the surveyed data provided by Xue (95 kWh/m2) (Xue, 2007), this value is significantly higher.
Data beyond 1.5 times the interquartile range from median is detected as outlier and discarded.
[2] DOE, Building Energy Data Book, http://buildingsdatabook.eren.doe.gov/, 2013
Categorization of Buildings (Left: by year completed, Right: by gross floor area) Data Collection: Energy consumption data: Monthly electric consumption data was collected and provided by the facility management company, which manages these twenty Class A office buildings.
Compared with the surveyed data provided by Xue (95 kWh/m2) (Xue, 2007), this value is significantly higher.
Data beyond 1.5 times the interquartile range from median is detected as outlier and discarded.
[2] DOE, Building Energy Data Book, http://buildingsdatabook.eren.doe.gov/, 2013
Online since: May 2014
Authors: Yong Ai, Yu Cao, Xiao Hu Liu, Han Liu
Obtaining information of optical, microwave etc from space satellites becomes more and more precise, but also the space remote sensing archaeology data analysis and calculation becoming more precise.
It has accurately measured surface sites information data of archaeological site and established field archaeological survey database of Zhou Gong Temple relics.
Digital restoration is to acquire information data artifacts form, texture, texture, materials and store it into the computer through some technical measures, uses it as the research data of the corresponding professionals.
In January 19, 2003, the world cultural heritage Wudang Mountains of the Ming Dynasty temple was reduced to ashes in the fire, Li Xiaofeng and Huang Tao of the Huazhong University of Science and Technology used virtual reality technology to implement the virtual restoration according to the survey data.
GIS also has strong spatial analysis and attribute query ability, it is not only can help realize the protection of heritage resources, but also can provide basic data and scientific basis.
It has accurately measured surface sites information data of archaeological site and established field archaeological survey database of Zhou Gong Temple relics.
Digital restoration is to acquire information data artifacts form, texture, texture, materials and store it into the computer through some technical measures, uses it as the research data of the corresponding professionals.
In January 19, 2003, the world cultural heritage Wudang Mountains of the Ming Dynasty temple was reduced to ashes in the fire, Li Xiaofeng and Huang Tao of the Huazhong University of Science and Technology used virtual reality technology to implement the virtual restoration according to the survey data.
GIS also has strong spatial analysis and attribute query ability, it is not only can help realize the protection of heritage resources, but also can provide basic data and scientific basis.
Online since: August 2024
Authors: Nitesh Kumar Singh, Rati Verma, Pradeep Kumar, Nishant Kumar Singh
Using image processing software Mimics 17.0 (Materialise, Leuven, Belgium), the CT images were processed for boundary detection of bone and soft tissue profile by adjusting appropriate image gray scale to obtain scanned point cloud data (.STL) representing the L3 and L4, annulus fibrosus and nucleus pulposus.
Upon normalization of the data from all fused models with respect to the mean of the control group (Model A), a uniformity in the decrease of ROM was discerned across each operated model represented in percent value in Table 1, irrespective of the diverse loading conditions imposed.
Model B displayed the most conservative reduction in ROM, while Model D exhibited the highest deviation when compared with the Model A (intact segment).
Examination of the ROM values revealed a notable reduction in each operated segment, though residual ROM persisted, indicating micromotion at the cage-endplate interface, as confirmed by micromotion analysis between the interfaces.
Acknowledgment: The authors would like to thank Life Care (Scan and Research Center and Diagnostic Centre), Chhattisgarh, (India) for providing patient data and National Institute of Technology (NIT), Raipur, (India) for providing support and facilities.
Upon normalization of the data from all fused models with respect to the mean of the control group (Model A), a uniformity in the decrease of ROM was discerned across each operated model represented in percent value in Table 1, irrespective of the diverse loading conditions imposed.
Model B displayed the most conservative reduction in ROM, while Model D exhibited the highest deviation when compared with the Model A (intact segment).
Examination of the ROM values revealed a notable reduction in each operated segment, though residual ROM persisted, indicating micromotion at the cage-endplate interface, as confirmed by micromotion analysis between the interfaces.
Acknowledgment: The authors would like to thank Life Care (Scan and Research Center and Diagnostic Centre), Chhattisgarh, (India) for providing patient data and National Institute of Technology (NIT), Raipur, (India) for providing support and facilities.
Online since: October 2007
Authors: Khalil Khalili, Seyed Yousef Ahmadi-Brooghani, M. Rakhshkhorshid
The population of
data can be redefined in this stage.
There is an option to automatically reduce data points.
In this option, possibilities, needed for data edition and reduction is provided.
The scanned data points are entered the text file.
On 3D Data Proc., Visualization, and Transmission, (2004). 5.
There is an option to automatically reduce data points.
In this option, possibilities, needed for data edition and reduction is provided.
The scanned data points are entered the text file.
On 3D Data Proc., Visualization, and Transmission, (2004). 5.
Online since: January 2019
Authors: Ping Huan Kuo, Ssu Ting Lin, Jun Hu, Chia Hung Shih, Chiou Jye Huang
Data Augmentation.
Among these, 50,000 images were used as training data and 10,000 images were used as testing data, as shown in Fig. 6.
Fig. 7 is the learning curve, Table 1 is the confusion matrix without data augmentation, Table 2 is the confusion matrix with data augmentation.
(a) (b) Fig. 7 The learning curve (a) without data augmentation and, (b) with data augmentation.
Table 1 The Confusion Matrix without data augmentation.
Among these, 50,000 images were used as training data and 10,000 images were used as testing data, as shown in Fig. 6.
Fig. 7 is the learning curve, Table 1 is the confusion matrix without data augmentation, Table 2 is the confusion matrix with data augmentation.
(a) (b) Fig. 7 The learning curve (a) without data augmentation and, (b) with data augmentation.
Table 1 The Confusion Matrix without data augmentation.
Online since: February 2013
Authors: Judit Maria Pinter, Attila Trohák
The next step was the collection of training data.
Up to now we collected training data from 57 people.
We structured and checked the audio data. 50 samples were suitable for processing.
The new audio data is ca. 1 minute long.
The method does not depend on the data type or data source.
Up to now we collected training data from 57 people.
We structured and checked the audio data. 50 samples were suitable for processing.
The new audio data is ca. 1 minute long.
The method does not depend on the data type or data source.
Online since: December 2014
Authors: Svetlana Butylina, Marko Hyvärinen, Timo Kärki
Charpy impact strength of all studied composites was found to retain after 2000 hours of outdoor weathering, although accelerated weathering caused significant reduction of Charpy impact strength of these composites.
To determine the effect of weathering on the Charpy impact strength of the composites, a two-sample t-test was carried out with the α significance value of 0.05, comparing the weathered and non-weathered data.
Iron oxide pigment had impact on reduction of Charpy impact strength of composites after exposure to xenon-arc source.
To determine the effect of weathering on the Charpy impact strength of the composites, a two-sample t-test was carried out with the α significance value of 0.05, comparing the weathered and non-weathered data.
Iron oxide pigment had impact on reduction of Charpy impact strength of composites after exposure to xenon-arc source.
Online since: July 2013
Authors: Hui Xuan Shi, Jin Qian, Xiao Bo Liu, Xiao Li Liu
Considering the oxidation-reduction reactions of SO2 electrochemical sensor during detection, the methodology of utilizing the air in the electrical device is proposed based on the tests of serving devices.
And utilization of air in electrical device is proposed based on the test data analysis of serving devices in order to meet the oxidation-reduction reactions of SO2 electrochemical sensor during detection.
And utilization of air in electrical device is proposed based on the test data analysis of serving devices in order to meet the oxidation-reduction reactions of SO2 electrochemical sensor during detection.
Online since: December 2010
Authors: Antonios G. Kladas, George Loizos, K. Passadis
Data modelling is an ill-posed problem where the underlying distribution of the data to be modelled is unknown.
This means that the structure and the parameters are not predefined (e.g. number of processing elements, number of layers etc.) but they are data driven in such a way that the capacity of the model will match the complexity of the data.
By choosing the appropriate value for C it is possible to avoid over-fitting the training data and at the same time getting a model with sufficient capacity to satisfactorily describe the data.
The Kernel function projects the data to a high dimensional space.
In the case study of wound-core transformers, 1950 sets of test data were separated into 30 subsets of 65 data sets each (29 subsets for training and 1 subset for validation).
This means that the structure and the parameters are not predefined (e.g. number of processing elements, number of layers etc.) but they are data driven in such a way that the capacity of the model will match the complexity of the data.
By choosing the appropriate value for C it is possible to avoid over-fitting the training data and at the same time getting a model with sufficient capacity to satisfactorily describe the data.
The Kernel function projects the data to a high dimensional space.
In the case study of wound-core transformers, 1950 sets of test data were separated into 30 subsets of 65 data sets each (29 subsets for training and 1 subset for validation).