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After a preliminary data processing, the data of 118 days outperform other days and are defined as the valid data.
Yu and Yang [6] proposed a linear dimensionality reduction (LDA) method to achieve dimensionality reduction using the original high-dimensional face data set, and then successfully identified clustering and different sets of faces.
Dimensionality reduction is conducted on the high-dimensional data, while clustering methods are applied afterwards.
Data Description The Smart Card (SC) data used in this study come from Shenzhen, China.
The low-dimensional data are more feasible in data analysis and pattern recognition.

And the reduction factor is defined as the slope stability safety factor.
Calculation model and mechanical parameters According to the design and measured data, the calculation models are shown in Fig. 2～Fig. 6.
Table 4 Stability calculations of high fill embankment with limit equilibrium method Section(m) YK123+910 +920 +940 +960 +970 +980 YK124+020 YK124+040 Minimum stability factor 1.373 1.321 1.316 1.316 1.318 1.378 1.325 1.392 3D FE analysis of stability of high embankment on rock slope Calculation model and mechanical parameters According to the design and measured data, the calculation models are shown in Fig. 15～Fig. 16.
Table 8 Stability calculations of high fill embankment with limit equilibrium method Section(m) BK0+043 BK0+076 BK0+203 BK0+233 BK0+273 BK0+305 BK0+325 Minimum stability factor 1.467 1.464 1.291 1.535 1.502 1.487 1.521 D FE analysis of stability of High Rockfill Abrupt Slope Embankment Calculation model and mechanical parameters According to the design and measured data, the calculation models are shown in Fig.19～Fig.20.
Slope stability analysis by strength reduction[J].

Firstly, the amount of water supplied calculation standard in office building in Korea is below: · Office buildings : 100~200 liter water usage per people per day, 0.2 occupancy in unit area(㎡), 55~57% ratios of validity area per gross area Differently, the amount of actual input water usage in office buildings in Korea is below: Table 1 Literature study of actual water usage data Researcher, year actual data source Water usage in office buildings J.
Bae, 2002 336 data from 10 regions in Korea 8.0 L/㎡·d Y.
In terms of the amount of sewage produced, actual sewage wastes data have been analyzed through literature references just like the water supply amount.
The sewage amount(8.9 L/㎡·d) is almost 80% of the actual water usage amount(11.01 L/㎡·d). [5,6,7] Table 2 Literature study of actual sewage wastes data Researcher, year actual data source Water usage in office buildings Y.
Bae, 2002 336 data from 10 regions in Korea 6.9 L/㎡·d Y.

INTRODUCTION Orthogonal frequency-division multiplexing (OFDM) is a method of encoding digital data on multiple carrier frequencies and is a popular technique for transmission of signals over wireless channels.
OFDM offers numerous advantages such as high data rate, robust performance and better spectrum efficiency.
But these techniques achieve peak power reduction at the expense of transmitting signal power increase, bit error rate (BER) increase, data rate loss, computational complexity increase, and so on.
Oversampling the data in IFFT, increases the resolution of the OFDM symbol giving a closer approximation to the band limited signal after filtering.
In the proposed SD-ICF technique, the reduction in PAPR is of optimized value.

The resolution of the seismic data improves.
The resolution of the seismic data improves.
Fig. 5 shows the practical seismic data record.
Theoretical semistic data Fig. 3.
The resolution of the seismic data improves.

Photocatalysed reduction of aqueous Na2CO3 was carried out by using nano KNiF3 powders.
The XRD data for index and cell-parameter calculations were collected by a scanning mode with a step of 0.02° and a scanning rate of 0.2°/min.
The photocatalysed reduction properties of KNiF3.
Compared to the [JCPDS Card 21-1002] data, the prepared KNiF3 has cubic perovskite-type structure.
Photocatalytic reduction of alkali carbonates in the presence of methylene blue, J.

Data collection is to laser scan, measure and get the 3D data of sample.
Data Collection Scan Mode.
At the same time, point group data management gets heavier because of too much data.
Then joint data and combine them into 1 file to get a complete point group data.
Figure 2(e) is the complete point group data after data alignment.

Subsequently, a detailed description of the study design and a statistical analysis of the experimental data are presented.
Twelve data sets were collected (4 study arms x 3 pollutants), each containing 20 odor ratings (one per subject).
The concentration values were only provided to help interpretation of the olfactory data and were not analyzed statistically.
Measurements of toluene concentration are generally consistent with the olfactory assessments, as shown by the lower final pollutant level after NCCO purification (Fig. 2b); however, the concentration data do not provide an evident explanation for the comparatively high odor ratings recorded after UV-PCO.
However, the data may still be skewed if the initial concentration in a particular arm approaches the odor detection (or saturation) threshold.

Therefore, this paper firstly reduce various historical data associated with the load by attribute reduction algorithm of the rough set, and removing decision-making information which is not associated with the property.
In this paper the 2009 July 1 to August 20 (except Saturday and Sunday) of the historical data as a sample, and then fit 19 August 2009 and 20-day power load value, finally, August 21, 2009 and August 22 of the data as unknown data, load forecast, finally, the predictive value compared with the real values, and do the error calculation.
are the selected historical data for the paper input variables, in which d is forecast day, t is prediction time, means the actual load data of d day t time.
Build attribute value decision table based on historical data, in which .
As rough set deals with discrete data, discrete the continuous valued before attribute reduction.

Reformulating Input Data for Linear Regression of Demographic Data Xiaoheng Pan, Yangping Li∗, Huaqiang Yuan Dongguan University of Technology, China ∗Contact author.
Independent and identical distribution is a fundamental assumption often made in data sampling, but it is no longer valid for demographic data.
Neighborhood augmentation achieves the most significant MSE reduction on both datasets.
(f) plots MSE vs ρ on crime data.
Statistics for Spatial Data.