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Online since: October 2013
Authors: Ling Yan Wu, Yong Qin Sun, Jin Yao Ji
Then, select the attribute of maximum importance into reduction attribute set, until reduction set and all the attribute dependence of original information table are consistent.
Combine the same row and get reduction table with reduction set.
Detailed solution process is said: (1)Initialize the reduction set is empty; (2)Calculate all the importance of condition attribute which is not in reduction set, and rank; (3)Select condition attribute of maximum importance into reduction attribute set, then judge dependence of reduction set at this time.
Given all training data is fitted without errors by linear function in precision ω, and considering allowable fitting error, introduce slack variables ζi≥0 and ≥0, then said: (6) Then, the optimization target is said: (7) Where, Ω>0, is punishment degree of going beyond error ω sample.
Aiming at possible uncertainty of information in air combat, RS theory is introduced, reduction of knowledge is used to predigest index of TA.
Combine the same row and get reduction table with reduction set.
Detailed solution process is said: (1)Initialize the reduction set is empty; (2)Calculate all the importance of condition attribute which is not in reduction set, and rank; (3)Select condition attribute of maximum importance into reduction attribute set, then judge dependence of reduction set at this time.
Given all training data is fitted without errors by linear function in precision ω, and considering allowable fitting error, introduce slack variables ζi≥0 and ≥0, then said: (6) Then, the optimization target is said: (7) Where, Ω>0, is punishment degree of going beyond error ω sample.
Aiming at possible uncertainty of information in air combat, RS theory is introduced, reduction of knowledge is used to predigest index of TA.
Online since: November 2012
Authors: Yan Song Diao, Dong Mei Meng, Qi Liang Zhang
As FRF is sensitive to the changes of the structural physical parameter, it is often used as the original data for structural damage identification.
Wu[1] uses the former 200 data of FRF from experiment as input to the BP neural network to identify the damage of a 3-layer building.
Using all available vibration transmissibility data, let us form matrix [H(w)]M×N which has M rows of vibration transmissibility, each with N frequency points.
Structural damage detection using artificial neural networks and measured FRF data reduced via principal componet projection.
Imregun combined neural network and reduced FRF techniques for slight damage detection using measured response data.
Wu[1] uses the former 200 data of FRF from experiment as input to the BP neural network to identify the damage of a 3-layer building.
Using all available vibration transmissibility data, let us form matrix [H(w)]M×N which has M rows of vibration transmissibility, each with N frequency points.
Structural damage detection using artificial neural networks and measured FRF data reduced via principal componet projection.
Imregun combined neural network and reduced FRF techniques for slight damage detection using measured response data.
Online since: April 2012
Authors: Lieven Bracke, Nieves Cabañas-Poy
In the open literature, only a limited amount of data is available for this class of materials.
No comparative data is available for the Fe-22Mn-C-N TWIP steel.
Figure 4 shows that the onset temperature for recrystallisation decreases with increasing amount of cold reduction.
Figure 4 The effect of different levels of cold reduction on the onset temperature for recrystallisation.
Figure 5 The effect of cold reduction on the grain size after annealing at 750°C and 900°C.
No comparative data is available for the Fe-22Mn-C-N TWIP steel.
Figure 4 shows that the onset temperature for recrystallisation decreases with increasing amount of cold reduction.
Figure 4 The effect of different levels of cold reduction on the onset temperature for recrystallisation.
Figure 5 The effect of cold reduction on the grain size after annealing at 750°C and 900°C.
Online since: December 2011
Authors: Yea Dat Chuah, Ryoichi Komiya, Bok Min Goi
Besides real time data transmission, the BAN system can also store data in its onboard memory.
The data is saved in binary file format and then exported to ASCII file before opening the data file in third party software applications such as Excel.
The data acquisition software of the BAN system transferred real-time data to the computer and plot three linear acceleration graphs in time domain.
Total of 50 sets of data is collected.
More data will be collected in our future work.
The data is saved in binary file format and then exported to ASCII file before opening the data file in third party software applications such as Excel.
The data acquisition software of the BAN system transferred real-time data to the computer and plot three linear acceleration graphs in time domain.
Total of 50 sets of data is collected.
More data will be collected in our future work.
Online since: February 2014
Authors: Nong Zheng
The server take out the corresponding data from the data queue of receiving and to extract In accordance with the key rules, then to reduce of information in corresponding positions.
The data structure of DS is a two byte DS= (A, R), where A is a finite set of data nodes, R is a finite set A relationship.
Linear table is a data structure, it can be expressed as DS= (A, R), A is a collection of n nodes with a0,a1,……,an-1, R has only one relation , (N={(ai-1ai) |1Definition 4: Data structure of compressed storage.There are two main types methods of compressing data matrix in traditional: random sparse matrix compression and special shape matrix (symmetric matrix and diagonal matrix) compression.
Corresponding to this,the server take out the corresponding data from the received data queue,in accordance with the rules and to extract key,then the reduction of information in corresponding positions,finally realizes the identity information authenticity, integrity verification of communication subject.Can effectively prevent man in the middle attack and reduce the amount of data transmission, greatly reduce the transmission time for the information.
The data structure of DS is a two byte DS= (A, R), where A is a finite set of data nodes, R is a finite set A relationship.
Linear table is a data structure, it can be expressed as DS= (A, R), A is a collection of n nodes with a0,a1,……,an-1, R has only one relation , (N={(ai-1ai) |1Definition 4: Data structure of compressed storage.There are two main types methods of compressing data matrix in traditional: random sparse matrix compression and special shape matrix (symmetric matrix and diagonal matrix) compression.
Corresponding to this,the server take out the corresponding data from the received data queue,in accordance with the rules and to extract key,then the reduction of information in corresponding positions,finally realizes the identity information authenticity, integrity verification of communication subject.Can effectively prevent man in the middle attack and reduce the amount of data transmission, greatly reduce the transmission time for the information.
Online since: September 2013
Authors: Tomonori Sumi, Ming Wei Liu, Shou Qi Cao, Li Zhen Zhang
By measuring the recording data, we got the speed range corresponding to different water depth.
Data Collection Measuring Vehicle flow characteristics commonly uses traffic counters.
It is an effective method for obtaining large amounts of data.
Therefore, it was used camera data for obtaining vehicle and water status data simultaneously for parsing.
The data on car length was obtained from relevant data on car model length from the internet.
Data Collection Measuring Vehicle flow characteristics commonly uses traffic counters.
It is an effective method for obtaining large amounts of data.
Therefore, it was used camera data for obtaining vehicle and water status data simultaneously for parsing.
The data on car length was obtained from relevant data on car model length from the internet.
Online since: October 2004
Authors: Yvan Houbaert, Wlodzimierz Kaluba, Leo A.I. Kestens, Ana Carmen C. Reis
This is confirmed by
quantitative grain size data, which are represented in Table I.
All these data points are gathered for one specific IF steel which was submitted to a cold rolling reduction of 95%.
The data suggest that this grain refining has saturated beyond heating rates of 1000°C/s.
The grain size data obtained in this study are in reasonable agreement with data published by Muljono et al [3].
In Fig. 3 the textures derived from the OIM data are shown.
All these data points are gathered for one specific IF steel which was submitted to a cold rolling reduction of 95%.
The data suggest that this grain refining has saturated beyond heating rates of 1000°C/s.
The grain size data obtained in this study are in reasonable agreement with data published by Muljono et al [3].
In Fig. 3 the textures derived from the OIM data are shown.
Online since: February 2015
Authors: Cheng Ren Xiong, Jun Wei Ma, Qi Chen Liu
Combined with strength reduction method and using 3DEC for simulating Dazhai landslide.
Introduction According to the statistics data of Geological Environment Monitoring Institute in China, landslide which is related to rainstorm in our country accounted for about 70% of the total [1]. 13 large landslides in the 2010 of geological disasters are all related to rainfall.
According to the literature of remote sensing data and field measurement, the length of the water body which is full of rear fissure of landslide L1 is 25m, the length of the floating lift force works on the shear slide plane L2 is 360m, the average width of slide body L is 166m[7], the angle of rear fissure α is 75°.And the result of formula (1)(2) are as follows: hydrostatic pressure V=4.8×105KN, buoyancy U=7.2×106KN.
Use strength reduction method to reduce parameters.
When the reduction factor K increases to 1.19, the model reaches instability.
Introduction According to the statistics data of Geological Environment Monitoring Institute in China, landslide which is related to rainstorm in our country accounted for about 70% of the total [1]. 13 large landslides in the 2010 of geological disasters are all related to rainfall.
According to the literature of remote sensing data and field measurement, the length of the water body which is full of rear fissure of landslide L1 is 25m, the length of the floating lift force works on the shear slide plane L2 is 360m, the average width of slide body L is 166m[7], the angle of rear fissure α is 75°.And the result of formula (1)(2) are as follows: hydrostatic pressure V=4.8×105KN, buoyancy U=7.2×106KN.
Use strength reduction method to reduce parameters.
When the reduction factor K increases to 1.19, the model reaches instability.
Online since: July 2012
Authors: Hui Li
Field Data Collection
Design of the Interface Based on Data Collected.
Disposed Data processing Do/Data processing Wait Do/Check event queue Receive Entry/ Receive data Receive events Stop Fig. 4 Bus data processing state diagram Data Processing Processing time for data update.
Data filtering.
State updating Waiting processing State checking …… Data_control_disable(); Check_data_state(); Data_control_enable(); …… Fig. 5 Control updates and sample status updates Reliability of Data Processing Data overflow.
T P FI Thermometer Pressure gauge Flow meter Moisture tester Pipeline pumps Fig. 6 Pipeline diagram Thus the final data reduction is the original model, that is, users need the data in units of a pipeline data organization unit [9].
Disposed Data processing Do/Data processing Wait Do/Check event queue Receive Entry/ Receive data Receive events Stop Fig. 4 Bus data processing state diagram Data Processing Processing time for data update.
Data filtering.
State updating Waiting processing State checking …… Data_control_disable(); Check_data_state(); Data_control_enable(); …… Fig. 5 Control updates and sample status updates Reliability of Data Processing Data overflow.
T P FI Thermometer Pressure gauge Flow meter Moisture tester Pipeline pumps Fig. 6 Pipeline diagram Thus the final data reduction is the original model, that is, users need the data in units of a pipeline data organization unit [9].
Online since: May 2014
Authors: Khanittha Chaibandit, Supasit Konyai
Flood reduction requires water flow detention or deceleration of during the storm water season.
This study investigated the reduction of water flow in Yom basin (a sub-basin of Chao Phraya basin) using the synthetic unit hydrograph to synthesize deluge parameters.
The relationship between volume (S) and height (H) of the detention pond system was found to be S=18866224.8H1.15 based on the analysis of elevation data using Geographic Information System (GIS).
Normal elevation of the water surfaec is 40 m (MSL). 4Correlation between water elevation-land-storage volumes The areal data was analyzed by means of the SWAT model [8] and MapWindow [9] based on DEM [10] and a map of scale 1:50000.
The parameters and areal data enabled us to find a correlation between volume and height of the swamp studied, i.e., S=18866224.8H1.15m3.
This study investigated the reduction of water flow in Yom basin (a sub-basin of Chao Phraya basin) using the synthetic unit hydrograph to synthesize deluge parameters.
The relationship between volume (S) and height (H) of the detention pond system was found to be S=18866224.8H1.15 based on the analysis of elevation data using Geographic Information System (GIS).
Normal elevation of the water surfaec is 40 m (MSL). 4Correlation between water elevation-land-storage volumes The areal data was analyzed by means of the SWAT model [8] and MapWindow [9] based on DEM [10] and a map of scale 1:50000.
The parameters and areal data enabled us to find a correlation between volume and height of the swamp studied, i.e., S=18866224.8H1.15m3.