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Wang et al proposed Kernel maximum scatter difference (KMSD) methods, which is a two stage KPCA plus MSD method [3].However, for dimensionality reduction, it fails to find the essential structure of the samples space with nonlinear distribution by using MSD.
In fact, in face recognition task, the dimension of face data is very high, which will consume much memory and time.
Secondly, we also compare the performance of proposed method with other methods for varying number of training samples. p (p=2,3,4,5,6) images are randomly selected from each class to construct the training data set, the remaining images being used as the test images.

An average conductivity data was determined from five replications at different locations on each sample.
The reduction in strength and elongation at high CB content was caused from an agglomeration of CB particles, low interaction between CB-NR surfaces and high void volume, resulting to a discontinuous phase material [6].
According to the data as shown in Fig. 2., similarly to many previous studies of NR/CB the compression set was significantly increased with increasing CB loading both at 25 °C (unaging) and 70 °C (aging).

Compared to current practice, the use of 100% untreated scrap gives a substantial reduction in the life cycle impacts (20% at the least, up to almost 90%), and greenhouse gas emissions almost halved over the life cycle of the component.
Looking at the cost data in the right-most column in figure 2, we find that the shredder and separation processes could carry a small yet potential cost savings.
These data do not include all costs of the logistics and sorting processes, thereby underestimating the real costs of the sorting strategies.

Through the test and data analysis of fabric odor removal, hygroscopic, heat accumulation function , various functions effects of the coffee yarn knitted fabrics under different fiber proportions has been discussed，it is important for the development of multi-effects and good wear ability of knitted fabrics.
Ammonia reduction rate calculation formula is: K = (a-b) / a ( K is ammonia decrease rate , a is the initial ammonia concentration in tank, b is the ammonia concentration 12 hours later).
Summary 1) For Fabric odor removal performance, it shows from the experimental data, along with coffee yarn content increase from 30% to 40%, ammonia removal rate become lager from 30.7% to 36.6%, When coffee yarn content is 40%, the odor removal performance of fabric is best, odor removal rate reach to 36.6%. 2) With the increase of coffee yarn content, the fabric hygroscopic tended to increase, absorbent quick-drying performance enhance.

Measurements vehicle performance data comprised brake power(kW),flywheel torque (Nm), fuel consumption rate (kg/hr) together with the exhaust emissions like hydrocarbon(HC), oxygen(O2), carbon dioxide(CO2),carbon monoxide (CO), nitrogen oxides (NOx) and smoke opacity by using autocheck 5 channel gas emission analyzer and danger MSI.
Further analysis and presentation of data is based on the average of measurement.
The blends biodiesel with booster promote the reduction of CO due to combination of booster additive and more oxygen present during combustion, thus the combustion will become more complete.

The discontinuous or mutations of the mechanical transmission result in the reduction of seismic mechanics performance[1].
(a) Schematic of vertical irregular and regular structure model build by Marc software;(b) Acceleration versus time data of irregular model’s top storey with 30kg additional mass Based on the transient dynamic analysis module of MSC.
Acceleration versus time data at the top of model frame is shown in Fig.6(b).

The research progress of threshold pressure gradient 2.1 The existence of threshold pressure gradient Data results measured by seepage experiment are obviously restricted by experiment equipment and the precision of experiment method because of that the low velocity nonlinear seepage section is relatively small in contrast to a whole one and the flow rate and pressure gradient are very small.
Huang Yanzhang derived a mathematical equation of radial flow for low permeability reservoir according to physical model test data, which is: (3) Where: —flow rate, cm3/s.
As can be seen, single well production decreases when there is pressure, the decline has relations with permeability, ultimate shear stress of crude oil and borehole diameter, namely: the lower penetration is, the greater single well production decline; the larger ultimate shear stress of crude oil and producer-injector spacing, the greater reduction of single well production [2].

The front-end data acquisition system (model number: SCADAS III) is used to collect the vibration signals from accelerometer and save them into the computer as data files.
Vibration prediction and reduction research on platform refrigeration system based on nonlinear theory.

The deconvoluted peaks were identified by reference to an XPS data base, or from compounds analyzed in the same apparatus[8-12].
The peaks in the order of the binding energy from lowest to highest are, correspondingly, from the contribution of metallic Cr, Cr +2 and Cr+3 on the basis of the reference data published elsewhere, among them, Cr+3 was accounted 35.1at.% for the Nano-304SS and 29.9at.% for the 304SS.
Furthermore, a large number of GBs in the Nano-304SS may cause a reduction of the Cl− concentration at each GB with respect to the Cl− concentration at each GB in the coarse-grained 304SS, which also decreases the driving force for pitting initiation.

Figure 1: Three Major Indicators of the World’s Shipbuilding Market Share in 2011 Data from China Association of the National Shipbuilding Industry (CANSI) [1] Generally, for shipbuilding companies the economic situation can be classifies as the Seller Market and the Buyer Market, during which the companies would face completely different supplier selection problems.
And accordingly, the shipping industry will be struck, which will cause a huge reduction in new orders of ships in the shipbuilding.
The second grade indexes include A1: communication, A2: historical data, A3: attitude, A4: location, B1: design time, B2: manufacture time, B3: punctuality, C1: adaptability, C2: qualified rate, C3: Certification, D1: transportation cost, D2: storage cost, D3: product price, E1: investigation in needs, E2: instructions of product, E3: participation in design, E4: adjust ability, E5: information feedback, and E6: improvements of product.