Sort by:
Publication Type:
Open access:
Publication Date:
Periodicals:
Search results
Online since: August 2014
Authors: Bing Qi, Ke Wang, Jue Li
Therefore, it is needed that a common understanding of signals and data exchange in the specific delimited interoperability domain.
The DR operation management unit, which in the supplier domain, develops DR programs based on the load demand reduction and other information.
There are five classes, named Duty Cycle (continuous duty cycle work), Offset (hot or cold compensation), Set Pont (supervisory control), Target Reduction (equipment to reduce the load threshold) and Load (object's current state).
The DR operation management unit, which in the supplier domain, develops DR programs based on the load demand reduction and other information.
There are five classes, named Duty Cycle (continuous duty cycle work), Offset (hot or cold compensation), Set Pont (supervisory control), Target Reduction (equipment to reduce the load threshold) and Load (object's current state).
Online since: June 2014
Authors: Ning Wang, Fei Sun, Xiao Hong Shan
For this reason, the development of information services industry can be clearly and intuitively learned from these data.
Development status of an industry can be affected by complex external factors which is hard to obtain definitive data.
Which model to choose is always measured by the stability, tendency and periodicity of historical data.
Through data conversion and calculating ACF, PACF repeatedly, we can get the estimation value of parameters.
For government, it can provide data reference and theory support to formulate a rational policy.
Development status of an industry can be affected by complex external factors which is hard to obtain definitive data.
Which model to choose is always measured by the stability, tendency and periodicity of historical data.
Through data conversion and calculating ACF, PACF repeatedly, we can get the estimation value of parameters.
For government, it can provide data reference and theory support to formulate a rational policy.
Online since: November 2020
Authors: Dmitry Sergeevich Shtarev, Anna Vladimirovna Shtareva, Alexander Vjacheslavovich Syuy, Vladimir Valentinovich Likhtin
The paper presents data on the temperature dependence of the conductivity of strontium bismuthate Sr6Bi2O11.
Interpolating the experimental data with a semicircle, we can find the point of its intersection with the line Z`` = 0.
Nyquist plots for strontium bismuthate Sr6Bi2O11 at different temperatures Fig. 2 shows data for only 4 temperatures.
The graphically obtained experimental data are shown in Fig. 3.
The obtained data can be interpreted as follows.
Interpolating the experimental data with a semicircle, we can find the point of its intersection with the line Z`` = 0.
Nyquist plots for strontium bismuthate Sr6Bi2O11 at different temperatures Fig. 2 shows data for only 4 temperatures.
The graphically obtained experimental data are shown in Fig. 3.
The obtained data can be interpreted as follows.
Online since: February 2022
Authors: Norio Takatsuji, Ngernbamrung Sukunthakan, Kuniaki Dohda, Tatsuya Funazuka
Abstract. 7000 series aluminum alloy is a high-strength alloy and used in a wide variety of products for the purpose of weight reduction in the field of transportation equipment and aerospace.
Introduction The 7000 series aluminum alloy is a high strength alloy to be used in a wide variety of products for the purpose of weight reduction in the transportation equipment and aerospace fields.
These data were recorded via a connection with a computer.
Introduction The 7000 series aluminum alloy is a high strength alloy to be used in a wide variety of products for the purpose of weight reduction in the transportation equipment and aerospace fields.
These data were recorded via a connection with a computer.
Online since: September 2013
Authors: Ian J. Jordaan, Rocky S. Taylor
Simulation results provide good agreement with test data and provide important insights into interplay between damage and fracture mechanisms associated with compressive ice failure.
Spalls are characterized by a large asymmetric reduction in area and an associated drop in load, as depicted in Fig. 2.
Plot (g) shows time trace for contact pressure from test data and FE simulation including points (a-f); (h) shows spall geometry.
Concluding Remarks Simulation results provide good agreement with test data and provide important insights into interplay between damage and fracture.
Spalls are characterized by a large asymmetric reduction in area and an associated drop in load, as depicted in Fig. 2.
Plot (g) shows time trace for contact pressure from test data and FE simulation including points (a-f); (h) shows spall geometry.
Concluding Remarks Simulation results provide good agreement with test data and provide important insights into interplay between damage and fracture.
Online since: February 2008
Authors: Akbar Afaghi Khatibi, Bohayra Mortazavi
Eventually, by comparison of FEA results with experimental data, the validity
of this new technique for the prediction of nanoindentation behavior of Silicon was concluded.
Comparing the FE results with experimental data [6-8] the validity of the new approach is investigated and discussed.
Generally speaking, a good agreement is obtained with experimental data which verifies the great potential of HMDFE method.
Consequently, the distance between flattened planes increases, which undoubtedly leads in reduction of stress required for deformation and as a result, the material properties decline.
Comparing the FE results with experimental data [6-8] the validity of the new approach is investigated and discussed.
Generally speaking, a good agreement is obtained with experimental data which verifies the great potential of HMDFE method.
Consequently, the distance between flattened planes increases, which undoubtedly leads in reduction of stress required for deformation and as a result, the material properties decline.
Online since: March 2015
Authors: Qiao Wen Bai, Xian Min Song, Qiu Jie Yang, Zhao Wei Qu
To study the real-time changes of pedestrian crossing speed, the paper collected a series data at three large intersections in Changchun City.
Methodology Data Collection.
The method of obtaining pedestrian data is as follows
Fig.1 The schematic diagram of pedestrian data extraction (2) Choose a point on crosswalk and record the abscissas.
However the speed-density model in this paper also needs a large amount of data to calibrate and validate in accurate.
Methodology Data Collection.
The method of obtaining pedestrian data is as follows
Fig.1 The schematic diagram of pedestrian data extraction (2) Choose a point on crosswalk and record the abscissas.
However the speed-density model in this paper also needs a large amount of data to calibrate and validate in accurate.
Online since: February 2014
Authors: Zheng Zeng, De Shan Liu, Jin Jiang Yan
Fig.2 2D GIS geographic scene function
Spatial Data Organization.
The process data fall into two categories, the previous earthquake data and the latest seismic data.
Mxd file contains no map data, and the spatial data are saved in the geospatial database (GeoDatabase) or the files in the form of a shapefile [4].
This design realizes the separation of configuration and data [5].
[5]Chen Xin: Realization of Data Auto-Conversion from MapGIS to ArcGIS.
The process data fall into two categories, the previous earthquake data and the latest seismic data.
Mxd file contains no map data, and the spatial data are saved in the geospatial database (GeoDatabase) or the files in the form of a shapefile [4].
This design realizes the separation of configuration and data [5].
[5]Chen Xin: Realization of Data Auto-Conversion from MapGIS to ArcGIS.
Online since: May 2014
Authors: Chun Li Wang
We use the MATLAB software to analyze the data, and use VB software to display the data analysis process.
After importing the data, we can use the Calculate button to analyze data.
The uncertainty of data management technology [J] Journal of computer, 2012, 32(1):56-60
Effective clustering algorithm based on probabilistic data stream [J].
Reduction clustering algorithm based on approximate backbone guided [J].
After importing the data, we can use the Calculate button to analyze data.
The uncertainty of data management technology [J] Journal of computer, 2012, 32(1):56-60
Effective clustering algorithm based on probabilistic data stream [J].
Reduction clustering algorithm based on approximate backbone guided [J].
Online since: December 2012
Authors: Xin He Chen, Wei Song
This system has poor portability and cannot adapt to large scale data processing.
The MVC(model view control) model separates the layer of data access and data performance, provides better decoupling and has obvious advantages in achieving multi-tier Web applications.
Fig. 2 Software Architecture In the first place, the data table and their relationship must be determined in the entity layer, then the Hibernate Mapping file and entity class which must be consistent with data table be written.
The business logic be written, also it can get real-time data by Coherence in this layer.
These statistical data mainly consist of by data, by charging facilities, by vehicle and statistical curve, and so on.
The MVC(model view control) model separates the layer of data access and data performance, provides better decoupling and has obvious advantages in achieving multi-tier Web applications.
Fig. 2 Software Architecture In the first place, the data table and their relationship must be determined in the entity layer, then the Hibernate Mapping file and entity class which must be consistent with data table be written.
The business logic be written, also it can get real-time data by Coherence in this layer.
These statistical data mainly consist of by data, by charging facilities, by vehicle and statistical curve, and so on.