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The gas space velocity in the experiment simulated atmospheric data.
“Zeolite-based materials for the selective catalytic reduction of NOx with hydrocarbons.”
"Catalytic reduction of nitric oxide by methane over CaO catalyst."
"Plasma-catalytic reduction of NO with C2H4 in the presence of excess oxygen."
Catalyst oxidation and reduction, Ind Eng Chem Prod Res Dev 20 (1981), pp. 451–457.

In order to quickly obtain valuable information from these data, there is an increased likelihood that an intermediate, additional step which is data reduction (dimension reduction) should be performed prior to data analysis.
On account of two reasons mentioned above, it is necessary to develop an efficient approach for solving the problem of data reduction and an approach suitable for limited prior knowledge to construct membership functions of fuzzy sets.
The manufacturing process dataset Data no.
Holmes: IEEE Trans. on Knowledge and Data Engin.
Pawlak: Rough Sets - theoretical aspects of reasoning about data (Kluwer Academic Publishers, 1991)

The microphone data were collected using a two-channel B&K analyzer 2144.
Measurement of these parameters were performed using pressure transducers, temperature and humidity sensors and recorded and processed by the data acquisition station - SAD-2, equipped with the ADAM modules 4000+, an integrated PC with the application GeniDAQ, equipped with a Visual Basic language [43].
In each measured points the data were recording by 10s with resolution 0,1s.
All figures present the data from 100 Hz to 10 kHz (Fig. 5).
It could offer the data basis and bionic model for the application of owl silent flight in engineering.

Data for CDM projects were found in the database of the United Nations Framework Convention on Climate Change (UNFCCC), and the projects used were obtained from the National Agency of Electric Energy and a geo-referenced information system of the power sector.
Installed capacity, capacity factor, and reservoir area were data of interest, found in thegeo-referenced information system of the ANEEL (SIGEL) [5].
These data were for 1401 enterprises located on the Brazilian interconnected power system.
The average emission factor (Ef) of the interconnected system was calculated according to the data available at the MCT [6] website.
These data take into account the methodologies ACM0002 and AMS ID from the UNFCCC.

A novel adaptive image feature reduction approach for object tracking using vectorized texture feature is proposed in this paper.
The dimension reduction has advantages of reducing the computational cost in classification stage. 3) An adaptive learning rate was proposed to handle drifts caused by long term occlusion.
The definition is given as follows: (1) where The is given by least square loss which measures how much the training data is different from an assumed distribution.
(Fig.1 shows how the dimension reduction affects the image quality) is the labeled sign denoting which class the belongs to.
The 15% reduction rate is almost the highest that we could restore the image without noticeable visual quality loss.

The concrete application research of drop and pull transport in energy saving and emission reduction —with SF's case Liang Xue School of Automobile and Traffic Engineering, Transportation Department, Nanjing Forestry University, Nanjing 210037, china.
Ph: 13913302896, email:shiling97322@163.com Keywords: Drop and pull transport; energy saving and emission reduction; application Abstract：Drop and pull Transport is an economic, environmental protection, a high efficient mode of transportation.
Thereby obtain energy saving and emission reduction. drop and pull Transport has raise transportation economic efficiency and social efficiency advantage.
Its main features are: (1) Low transport costs. (2) Transport efficiency. (3) Logistics costs low. (4) Energy conservation and emission reduction.
Through to the high-speed toll , oil,Fuel tax,Buy the car cost, maintenance costs,Staff salaries, Depreciation's analysis etc, the sum based on Shenzhen (Quanzhou) freight program's total cost, that is shown in Table 3: Table 3 The total cost of operating the program Variable costs (Million) Fixed costs (Million) Total cost (million) Drop and pull transport 5212.686 858.45 6071.136 General cargo 5939.146 1058.05 6997.196 Shenquan trunk drop and pull transport of total operating cost of 60,711,360 yuan Total operating cost of ordinary goods is 69,971,960 yuan Drop and pull transport Total operating cost savings = 9.2606 million yuan for the 6997.196-6071.136 Drop and pull transport savings ratio of total operating costs 926.06/6997.196 = 13.2% According to the calculation of the actual circumstances of specific data, the operation of the program variable costs, fixed costs and total costs, that the program economically viable.

Reduction of anatase started just below 900ºC whilst rutile underwent reduction below 800ºC.
Positions of the peaks were taken from the ICDD database, however, peaks for the mixed valance TinO2n-1 phases where n>3 were only present up to 2θ = 50.2º and the data for these has taken from the paper by Bowden et al [16].
The onset of reductive mass loss in rutile system occurs at ~770ºC, about 100ºC lower than for anatase system Beyond the initial mass loss due to desorption, it is difficult to compare the curves in Fig.1, therefore the data has been differentiated so that the stages become more clearly defined.
Further heating to 1380ºC resulted in completing the reduction.
The reduction of rutile started at ~770ºC whereas reduction of anatase began about 900ºC.

Reliability-Based Assessment of Bridges Using Long-Term Monitoring Data Y.Q.
From the monitoring data the bridge managers want to get answers to the serviceability and reliability issues: (i) has the load capacity or resistance of the structure changed?
As consistent with reliability analysis, the structural damage is first identified using a probabilistic approach from the monitoring data, so that the damage identification results account for uncertainty and randomness inherent in the measurement data and the structure.
The uncertainty in measured modal data is assumed as normally distributed uncorrelated random variables with known statistical properties.
In this example, the simulated stress measurement data (history) for each member is obtained by applying the random loads V to a finite element model of the structure.

Its calculation procedure is shown as below: Step1: Confirm the reference sequenceas a record in standard fault sets and comparative sequence, process the data being dimensionless.
Step2: calculate difference sequence, whereas comparative sequence which is unknown pattern, as reference sequence, which is history diagnosis data sequence.
Select the record in reduced diagnosis knowledge database as reference sequence, the data observed which transform to reduced space as comparative sequence.
Part of the data that sampled repeatedly and modeled by AR time-series in normal and wear state is shown in Table1.
Use 10 of 20 data acquainted with known state construct the learning samples data sets, the other 10 data as test data, after the original data normalized, Use respectively the grey relational analysis(method 1)and rough set based weighted grey diagnosis method(method 2) to recognize their status.

Applied-information technology in fusion SVM partial least squares analysis of experimental data in the body of PET Xian Zhou, Ying Xiong, Wangping Xiong, Lingzhu Xiong Jiang Xi University of Traditional Chinese Medicine, NanChang, JiangXi, China Corresponding author: Wangping Xiong xiaoxiongxwp@126.com Keywords: Partial Least Squares; SVM; PET; Data Mining; Nonlinear Data Abstract.
But in the data acquisition process, often unnoticed or be some subtle surprises.
Observational data can not contain a gross error, otherwise the result is not reliable.
The reason is because there is a variable data from the data recording abnormality, when this happens, there will be a natural component of the selected offsets, thereby affecting the results of the regression.
A modified PLSR method in prediction[J],Data Science，2006,4:257-274