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Online since: March 2014
Authors: Yang Ping Li, Shao Fen Zhong, Xiao Heng Pan, Hua Qiang Yuan
As to data trend, data sets grow not only
in size but in complexity.
Data Reduction.
The data flow in data analysis pipelines proceeds through several resources, starting from computational nodes that generate original data and produce their output data, through local and shared storage devices, to visualization clusters and accelerators for analysis, and display.
Data compression can thus be a viable solution for reducing data movement and the strain on storage resources [4].
Query-Driven Data Analytics.
Data Reduction.
The data flow in data analysis pipelines proceeds through several resources, starting from computational nodes that generate original data and produce their output data, through local and shared storage devices, to visualization clusters and accelerators for analysis, and display.
Data compression can thus be a viable solution for reducing data movement and the strain on storage resources [4].
Query-Driven Data Analytics.
Online since: March 2011
Authors: Xiao Lun Liu, Wei Sun, Song Ding, Jian Fang Liu, Yu Ying Wang, Bin Jiang
Changchun, 130051, China
3Aviation University of Air Force, Changchun, 130022, China
aliuxiaolun_jldx@163.com, b450268973@qq.com
Keywords: bush roller chains, meshing impact, split roller, noise reduction
Abstract.
By analysis of testing data, noise level of duplex sleeve chains with split rollers compared with that of the other duplex bush roller chains was reduced by the average 3 ~ 8dB, and low 10 ~ 13dB than that of 16A simplex sleeve roller chains.
The chains made chain drive significantly improve in the working environment, with steady transmission, strong bearing, low noise, and a significant noise reduction was achieved.
It had been concluded that contact process of sprocket tooth and non-metallic elastic material roller was noise reduction process [7,8].
Reduction of Noise and Vibration in Roller Chain Drives.
By analysis of testing data, noise level of duplex sleeve chains with split rollers compared with that of the other duplex bush roller chains was reduced by the average 3 ~ 8dB, and low 10 ~ 13dB than that of 16A simplex sleeve roller chains.
The chains made chain drive significantly improve in the working environment, with steady transmission, strong bearing, low noise, and a significant noise reduction was achieved.
It had been concluded that contact process of sprocket tooth and non-metallic elastic material roller was noise reduction process [7,8].
Reduction of Noise and Vibration in Roller Chain Drives.
Online since: October 2017
Authors: Satrio Herbirowo, Bintang Adjiantoro
Laterite Steel Sample Measurement
Reduction
Initial Thickness (To)
Initial Length (Lo)
as cast
6
200
30%
8.6
139.54
40%
10
120
50%
12
100
60%
15
80
Result and Discussion
According to the test result data, increment of hardness is directly proportional to the number of reduction level.
Initial hardness before rolling process 190.93 BHN, within 30% of reduction was resulting 247.63 BHN, 40% of reduction was resulting 248.33 BHN, 50% reduction was resulting 280.03 BHN, greater number of reduction means more harder material.
However, it decreased at 60% of reduction.
Identifying and fracture morphology of the sample as cast and with variations A0 size reduction; A1; A3; A4 with SEM and EDS instruments capable of analyzing the quantity of data elements that are formed in certain areas Fig. 7.
Based on the discussion obtained optimum reduction in the 50% reduction that is in the sample A3.
Initial hardness before rolling process 190.93 BHN, within 30% of reduction was resulting 247.63 BHN, 40% of reduction was resulting 248.33 BHN, 50% reduction was resulting 280.03 BHN, greater number of reduction means more harder material.
However, it decreased at 60% of reduction.
Identifying and fracture morphology of the sample as cast and with variations A0 size reduction; A1; A3; A4 with SEM and EDS instruments capable of analyzing the quantity of data elements that are formed in certain areas Fig. 7.
Based on the discussion obtained optimum reduction in the 50% reduction that is in the sample A3.
Online since: August 2014
Authors: Zi Min Wu, Qiu Chao Deng, Xu Feng Zhang, Li Qiu Song
Hairong Wang[7] designed a simple data mining system in The Application of Data Mining in Students' Scores Analysis, by mining the data of students' scores, he found the hidden related regulation among the data.
Data collection and reduction Choosing sample.
Due to differences in content, assessment criteria of examination among those provinces, Beijing local students' scores data has been taken as sample in order to maintain objective comparison of the data, There are 64 validate samples after data reduction. (3)Collecting score data of CET4 and CET6:Score data of CET4 and CET6 are collected from academic affair management system.
Data reduction. 1. sex(1, male; 0, female) 2. from(1, Beijing; 2, other provinces) 3.
As a generalized data mining platform, Clementine features in various algorithm which can handle large quantity of data mining tasks including data classification, data regression, clustering, contingency analysis, anomaly detection and time series etc.
Data collection and reduction Choosing sample.
Due to differences in content, assessment criteria of examination among those provinces, Beijing local students' scores data has been taken as sample in order to maintain objective comparison of the data, There are 64 validate samples after data reduction. (3)Collecting score data of CET4 and CET6:Score data of CET4 and CET6 are collected from academic affair management system.
Data reduction. 1. sex(1, male; 0, female) 2. from(1, Beijing; 2, other provinces) 3.
As a generalized data mining platform, Clementine features in various algorithm which can handle large quantity of data mining tasks including data classification, data regression, clustering, contingency analysis, anomaly detection and time series etc.
Online since: July 2011
Authors: Guo Jun Ma, Yi Biao Jin, Da Bin Yang
China
a gma@wust.edu.cn, bjybcooker@163.com, cdabingyang@sohu.com
Keywords: Fly ash; carbothermal reduction; Si-Al-Fe alloy
Abstract.
Table 1 Chemical composition of raw materials (%) Materials TFe SiO2 Al2O3 CaO MgO S P K2O Na2O TiO2 C LOI* Fly ash 7.26 30.20 14.16 2.64 0.83 0.57 0.05 0.87 0.55 1.71 29.02 36.21 Bauxite 0.64 5.25 74.21 0.25 0.29 - - 0.08 0.02 4.38 - 14.46 Hematite 45.77 19.16 6.65 3.70 0.76 0.07 0.93 - - - - - Coke - 5.65 3.62 1.26 0.14 0.11 0.08 - 0.39 0.16 86.27 - *-Loss on ignition Sample preparation and carbothermal reduction process In the calculation of the proportion of raw materials stage, the element distribution ratios among the slag, metal and gases phase adopt the data from Jiang et al. [4].
This is consistent with the results of thermodynamic calculation of alumina reduction with carbon by Wang et al. [5], which reported that the carbothermal reduction of bauxite to produce Si-Al-Fe alloy can be divided into four stages, i.e.
Fig. 2 shows that the products of carbothermal reduction of pellets.
Thus, the production of Si-Al-Fe alloy by carbothermal reduction method, it should avoid it exposure to air.
Table 1 Chemical composition of raw materials (%) Materials TFe SiO2 Al2O3 CaO MgO S P K2O Na2O TiO2 C LOI* Fly ash 7.26 30.20 14.16 2.64 0.83 0.57 0.05 0.87 0.55 1.71 29.02 36.21 Bauxite 0.64 5.25 74.21 0.25 0.29 - - 0.08 0.02 4.38 - 14.46 Hematite 45.77 19.16 6.65 3.70 0.76 0.07 0.93 - - - - - Coke - 5.65 3.62 1.26 0.14 0.11 0.08 - 0.39 0.16 86.27 - *-Loss on ignition Sample preparation and carbothermal reduction process In the calculation of the proportion of raw materials stage, the element distribution ratios among the slag, metal and gases phase adopt the data from Jiang et al. [4].
This is consistent with the results of thermodynamic calculation of alumina reduction with carbon by Wang et al. [5], which reported that the carbothermal reduction of bauxite to produce Si-Al-Fe alloy can be divided into four stages, i.e.
Fig. 2 shows that the products of carbothermal reduction of pellets.
Thus, the production of Si-Al-Fe alloy by carbothermal reduction method, it should avoid it exposure to air.
Online since: February 2012
Authors: Jian Hua Li, Zhen Xi
However, the calculation workload is too large to process data for large area.
Discrete liner transformation of potential field data [J].
Geophysics, 1989, 54(4): 497-507. ] advanced this method, but data of large area is always difficult to be solved.
The data were gridded and then upward continued 25 meters.
The resulting data and error estimates were inverted with standard inversion parameters.
Discrete liner transformation of potential field data [J].
Geophysics, 1989, 54(4): 497-507. ] advanced this method, but data of large area is always difficult to be solved.
The data were gridded and then upward continued 25 meters.
The resulting data and error estimates were inverted with standard inversion parameters.
Online since: August 2010
Authors: Toru Fujii, Takahiko Yoshi, Kazuya Okubo
Stiffness reduction of woven CFRP and CFRTP spring under ultra high
cyclic fatigue for vibration conveyor
Takahiko Yoshi
1, Kazuya Okubo
2, and Toru Fujii3
1-3
1-3, Tatara-miyakodani, Kyotanabe, Kyoto, Japan,
1
dtj0381@mail4.doshisha.ac.jp,
2
kokubo@mail.doshisha.ac.jp,
3
tfujii@mail.doshisha.ac.jp
Key words: CFRP, CFRTP, ultra high cyclic fatigue, high humidity, stiffness reduction
Abstract.
However few studies investigated the fatigue behavior of CFRP under ultra high cyclic fatigue loading at high humidity condition, while same data was shown by researchers [5].
Result and Discussion Stiffness reduction of CFRP spring under ultra high cyclic fatigue Fig. 3 shows the reduction rate of frequency as a function of number of loading cycles in the CFRP spring.
Stiffness reduction of CFRTP spring without loading To prevent the stiffness reduction accompanying with such damages which might be induced by the hydrolysis in epoxy shown in Fig. 5(a) under high humidity condition, PET film was utilized as the material of matrix for the CFRTP spring plate.
Prevention of stiffness reduction of plate spring Fig. 7 shows the reduction rate of frequency as a function of number of loading cycles in CFRTP spring.
However few studies investigated the fatigue behavior of CFRP under ultra high cyclic fatigue loading at high humidity condition, while same data was shown by researchers [5].
Result and Discussion Stiffness reduction of CFRP spring under ultra high cyclic fatigue Fig. 3 shows the reduction rate of frequency as a function of number of loading cycles in the CFRP spring.
Stiffness reduction of CFRTP spring without loading To prevent the stiffness reduction accompanying with such damages which might be induced by the hydrolysis in epoxy shown in Fig. 5(a) under high humidity condition, PET film was utilized as the material of matrix for the CFRTP spring plate.
Prevention of stiffness reduction of plate spring Fig. 7 shows the reduction rate of frequency as a function of number of loading cycles in CFRTP spring.
Online since: January 2012
Authors: Wei Tian, Jun Guo Li, Shou Zhang Li
To optimize the reduction technology of SSI and its removal ability for nitrate from wastewater, the influence of reduction time of SSI on nitrate removal percentage was investigated.
Because the specific surface area was impact smartly by the reduction time of SSI, it was suggested that nitrate removal ability of SSI should declined with the increasing of reduction time once the reduction time longer than the optimized reduction time.
But the higher specific area was also impacted by deoxidizer, reduction temperature and reduction time, etc.
lnr=ln(-dC/dt)=lnkobs+nlnC (5) Fig.2 The relationship between lnr and lnC According to the kinetic experiment datum shown in Fig. 1, reaction rate equations of nitrate removal by SSI reduced in different reduction time could be calculated and illustrated in Table 1.
SSI reduction could not be optimized merely on the basement of its removal ability for nitrate, other factors should be taken into account, such as reduction atmosphere, temperature, reduction time, etc.
Because the specific surface area was impact smartly by the reduction time of SSI, it was suggested that nitrate removal ability of SSI should declined with the increasing of reduction time once the reduction time longer than the optimized reduction time.
But the higher specific area was also impacted by deoxidizer, reduction temperature and reduction time, etc.
lnr=ln(-dC/dt)=lnkobs+nlnC (5) Fig.2 The relationship between lnr and lnC According to the kinetic experiment datum shown in Fig. 1, reaction rate equations of nitrate removal by SSI reduced in different reduction time could be calculated and illustrated in Table 1.
SSI reduction could not be optimized merely on the basement of its removal ability for nitrate, other factors should be taken into account, such as reduction atmosphere, temperature, reduction time, etc.
Online since: September 2013
Authors: Ya Jun Wang, Jin Quan Zheng
In tone reservation-based OFDM systems, the peak to average power ratio (PAPR) reduction performance mainly depends on the selection of peak reduction tone (PRT) set.
In tone reservation-based OFDM systems, the PAPR reduction performance by TR method mainly depends on the selection of peak reduction tone (PRT) set.
OFDM System and Tone Reservation Technique The discrete-time OFDM signal can be expressed in matrix form (1) Where X is the data vector and Q is the IDFT matrix.
Tellado, ``Peak to average power reduction for multicarrier Modulation,'' Ph.D. dissertation, Stanford Univ., 2000
Cioffi, ``Peak power reduction for multicarrier transmission,''Information Systems Laboratory, Stanford University, 1999
In tone reservation-based OFDM systems, the PAPR reduction performance by TR method mainly depends on the selection of peak reduction tone (PRT) set.
OFDM System and Tone Reservation Technique The discrete-time OFDM signal can be expressed in matrix form (1) Where X is the data vector and Q is the IDFT matrix.
Tellado, ``Peak to average power reduction for multicarrier Modulation,'' Ph.D. dissertation, Stanford Univ., 2000
Cioffi, ``Peak power reduction for multicarrier transmission,''Information Systems Laboratory, Stanford University, 1999
Online since: September 2013
Authors: Wei Han
There are a lot of data in the real life showed by the form of multimedia data.
Multi-media data mining process model 3.1 Data Preparation Stage Data selection is to extract relevant data and form the target data from existing database or data warehouse to extract relevant data, the formation of the target data.
Data preprocessing will deal with extracted data to conform to satisfy the requirements of data mining.
The main purpose of data transformation data dimension reduction, or reduction, to find out from the initial feature really useful feature to reduce the data mining features to consider when, or the number of variable [3,4]. 3.2 Data Mining Stage First step is algorithms planning.
Multi-media data mining system prototype framework Multimedia Data Mining Application In The Knowledge Services 5.1 Text Mining Text data is different from the relational data.
Multi-media data mining process model 3.1 Data Preparation Stage Data selection is to extract relevant data and form the target data from existing database or data warehouse to extract relevant data, the formation of the target data.
Data preprocessing will deal with extracted data to conform to satisfy the requirements of data mining.
The main purpose of data transformation data dimension reduction, or reduction, to find out from the initial feature really useful feature to reduce the data mining features to consider when, or the number of variable [3,4]. 3.2 Data Mining Stage First step is algorithms planning.
Multi-media data mining system prototype framework Multimedia Data Mining Application In The Knowledge Services 5.1 Text Mining Text data is different from the relational data.