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Online since: September 2012
Authors: Xiu Hong Jiang, Fu Hai Duan, Rui Guo
However, when used in higher sensitivity requirements occasion, especially for small point target applications, unstable display data and inflexible response are common, so the contact coordinates obtained by ADC must be calibrated.
To resolve this contradiction, firstly make local optimum reduction with greedy algorithm against sample set.
If more than 3, we can adopt least squares for data fitting, and then obtain calibration coefficients.
Its main function was implementing of the ADS7846's control and data reading through SPI interface, translating data obtained into effective coordinate data and then transferring to the graphics interface (GWES).
Journal of gunlaunch&control, (1). pp:23-26. (2008) [4] Song Xuerui, Cai Ziyu and Duan Qingqing: Data Processing Algorithm of Touch Screen.
Online since: May 2014
Authors: Shu Hui Chang, Yue Li Li
(1) The selection of the sample set The experiment chosen three sets of standard classification data set as a test case, they are Iris, Breast Cancer and Wine classification problems the data set.
(3) Training content design The data sets of the three categories used in the experiment by convention is divided into a training set and a test set.
Each data set of two-thirds of the samples as a training set, while the remaining one third of them are used as the test set.
Each algorithm is run repeatedly experiment, results of the data given in the table are the average of 30 experiments.
The centralized data 150 samples, each sample by Iris flower of the four attributes.
Online since: August 2013
Authors: Ju Rui Yang, Hui Li, Yi Long Liu
Data and research methods of the study area Date.
Remote sensing data uses the remote sensing images of the study area in 1982, 1986, 1992, 1996, 2001, 2006, and 2010.
Data preprocessing.
Geometric correction and enhancement: Scan coverage topographic map of the study area, and its correction GAUSS Six Degrees of registration with the projection system, let a period of a TM image data and corrected topographic map registration, then let before the issue of a TM image data and after of the registration TM image data registration.
Combined with hydrological data, the rainfall in 1992 is nearly 30 years at least, so water area is relatively minimal.
Online since: August 2013
Authors: Jun Wu, Wei Li Zhang, Lei Wang, Jin Xin Cao
Then we use the data extracted from traffic congestion caused by temporary parking to calibrate parameters, and use the other data to verify the feasibility of the model.
He established model getting that lateral spacing increases can lead to the reduction of vehicle spacing of two cars before and after [5].
In this paper, the genetic algorithm is set to total number 20, the aberration rate is 0.01, crossover rate is 0.85, and crossover method is uniform crossover method.This paper takes the video clips that significantly influenced by lateral vehicles, 50 groups representative data can be extracted to be input data.
Model Validation In order to validate the validity of the model, this paper selects fifty sets of data that did not attend the parameters calibration.
And the verification results of this model show that the model better fits the actual measurement data, which can more accurately reflect the change trend.
Online since: September 2012
Authors: Hong Song, Ling Tang, Ming Ju Chen
Demand for communication of multimedia data through the telecommunications network and accessing the multimedia data through Internet is growing explosively.
The reduction in file size allows more images to be stored in a given amount memory space and also reduces the time required for images to be sent over the Internet[1].
Discrete Cosine Transform Like other transforms, the discrete cosine transform attempts to decorrelate the image data.
Introduction to Data Compression(2nd).
Multiresolution lossless/lossy compression and storage of data for efficient processing.U.S.
Online since: January 2013
Authors: Qian Zhang, Lei Zhang, Chen Xing Hu
Establishment and Verification of Prediction Model Data normalization.
The transfer function of the neural network has a certain limit on the input, and the units and the magnitude of the original data varies.
Therefore, it is necessary for the original data to be normalized.
This paper chooses MATLAB mapminmax function, and all the data are in the range of [-1,1].
The function can be expressed as: (7) Where and are respectively the maximum and minimum values of the variables in all operating conditions, is the normalized data, and is the original data.
Online since: October 2014
Authors: Feng Xu
(2) Loading data files and building scene.
According to the need of user, virtual engine loads simulation data and creates simulation scene
It can calculate complex biological behavior by giving thought interaction to 3D characters and automatically generate dynamic data according to setting situation.
It not only can save time and cost, but also generate dynamic data without noise, which is better than general motion capture.
Reduction of crime scene based on TureVision 3D technology [J].
Online since: December 2016
Authors: Piotr Kosiński, Robert Wójcik
This lead to reduction of heat resistance of external fiber thermal insulations (75% in existing buildings, 87% in laboratory investigation).
Simulation The thermal simulations were performed to emphasize the experimental data.
Physical data for the simulation, as well as temperature difference and wind speed, were adopted on the basis of laboratory measurements.
For the modified model, the reduction of the thermal resistance (Figure 6e) was already 59%, which is closer to the results achieved during the laboratory experiment.
The reduction of the thermal resistance for the case of partition with a lower air permeability occurs gently and lasts longer.
Online since: November 2011
Authors: Khaled M. Ibrahim, Yasser Fouad, Brando Okolo
The thermo-mechanical processes associated with this kind of severe plasticity causes a refinement of the grains in the material often leading to a net reduction in the average grain size [6, 7] and property alterations clearly different from that in the coarse grained material [8].
Thus the dislocation density in the material is increased after SPD, likewise the effective grain boundary area increases accordingly with grain size reduction.
Pereira et al [6] have shown that ECAP processing of an as-extruded AZ80 of initial grain size 20 µm resulted in grain size reduction by as much as 75% following the first ECAP pass.
Whilst no strengthening effects were observed in the material, even with the grain size reduction relationship in accordance with the Hall-Petch concept [9], tensile test data revealed that the ECAP processing led to a 28% increase in the elongation to failure of the tested AZ80 alloy.
In the present study, first sets of data on the influence of ECAP processing on the wear behavior of AZ80 are provided.
Online since: July 2020
Authors: Zulkarnain Zainal, Zainal Abdib Talib, Asla A. Al-Zahranil, Araa Mebdir Holi, Hong Ngee Lim
The plane fringes with a crystalline plane spacing of 0.26 and 0.238 nm are assigned to the (002) and (103) planes of the hexagonal wurtzite structure of ZnO NRAs and monoclinic Ag2S phase, respectively (verified with reference data JCPDS 00-003-0888, JCPDS 00-014-0072, respectively) and other related reports[15] Figure 6: (a) TEM images; (b) HR-TEM images of the optimal sample of Ag2S/ZnO NRAs annealed at 400 ºC for 1 h in N2 air flow.
Photoelectrochemical performance Fig. 8 shows the PEC data of fabricated sample of ZnO NRAs and Ag2S/ZnO NRAs which were treated thermally at different annealing temperatures in the range between 100 ºC to 500 ºC.
The illumination of thin films generates excited electrons which move throughout the external wire to the Pt wire where the reduction of electrolyte occurs.
On the other hand, improving the crystalline nature of thin film with larger crystalline size could delay the electrolyte diffusion throughout the film which leads to reduce the oxidation-reduction reactions.
The reduction of the photocurrent at 500 ºC can be attributed to the defect of effective way of the charge carrier diffusion as a result of the agglomeration (Figure 5.f ) that makes the way of transformation of photogenerated electron complicated.
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