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The results show that our model can both enhance learning performance and classification accuracy. 1 Feature Reduction based on Manifold Learning Since the original dimensionality of the feature space gathered from the primary image data is usually very large, which will seriously affect the performance and results of classification, dimensionality reduction for the original feature space is thus not a negligible phase.
Linear dimensionality reduction will usually satisfy the tasks of linear distributed reduction, but in nonlinear cases it will lose certain efficiency and accuracy.
The methods of nonlinear dimensionality reduction are hence widely introduced for such nonlinear reduction situations.
Its basic idea is that the overall information served by overlapping the local neighbors maintains the original topology structure of the primary image data, using local linear approximation to the overall linear to the global and meanwhile keeping the local geometry structures unchanged.
[9] Belkin M and Niyogi P, “Laplacian Eigenmaps for Dimensionality Reduction and Data Representation[J],” Neural Computation, 2003,15(6), pp. 1373–1396.

asudhakar.panday@gmail.com, bs4danfmt@iitr.ernet.in, cjeevafcy@iitr.ernet.in * Corresponding authors Keywords: Precursor method, Polyol reduction, Co-Ni alloy, Superparamagnetism.
Abstract Nanocrystalline Co82Ni18 alloy was synthesized by polyol reduction of cobalt-nickel hydroxide precursor.
The saturation magnetization of the nanocrystalline alloy was about 107 (emu/g) at room temperature and the M-H measurements at 300 K and 5 K indicated that the nanocrystalline alloy exhibits close to superparamagetic behaviour. 1 Introduction Magnetic alloy nanoparticles posses interesting applications in the area of catalysis, ferrofluids, data storage, magnetic resonance imaging, hyperthermia and drug delivery systems and excellent reviews on such topics are reported in the literature [1-3].
Nikles, FePt and CoPt magnetic nanoparticles film for future high density data storage media, Int.
Wang, Preparation of pure nickel, cobalt, nickel-cobalt and nickel-copper alloys by hydrothermal reduction, J.

As part of this work the analysis of the impact relative rolling reduction at the connection area of bimetallic plate after the rolling process was carried out.
Bimetal plates Al99.8-M1E were rolled with relative rolling reduction e = 10%, 15% and 20%.
The microscope is connected to the computer on which is installed the NIS-Elements software for data acquisition and analysis.
The range of possible magnifications, along with fully automatic table provides not only to collect data from one area.
There was however observed, that the connection area after rolling shows a reduction of waviness.

The XRD data shows that the material FePO4 before being subjected to cyclic voltammetry was amorphous and the spectra of the same material after electroreduction (fig. 3b) during the cyclic voltammetric experiment was crystalline.
The reduction/oxidation mehanism of FePO4 was further investigated by subjecting synthetically prepared LiFePO4 to oxidation followed by reduction through a cyclic voltammetric experiment.
A reduction peaks C1 and C2 at - 525 and - 405 mV indicates the presence of LiFePO4 and Fe3O4 respectively.
This assignment is based upon XRD data of those materials reported in the literature [2].
Conclusions It is concluded that the reduction of FePO4 results in the formation of intercalated FePO4.

Compare of power flow’s data between BPA and PSS/E According to the bus data, BPA’s bus data contains the generator data, load data, while these three types of data need fill in separately in PSS/E; BPA’s node types have a clear rules and do not support the isolated bus, and PSS/E’s node types have load bus, generator or power plant node, balance nodes and isolated bus.
According to the generator data, PSS/E turns step-up transformer of factory station into generator node data, while the BPA separately fill in bus data and transformer data.
In order to avoid misunderstanding to fill in the data, we suggest filling in the data top grid.
Compare of stability data between BPA and PSS/E 1) Generator’s dynamic data.
It is through filling in the control and protection data card to realize the low pressure low frequency load reduction model.

This polynomial is obtained from regression analysis of the data in Tables 2 and 3 based on the least square principle.
Fig. 2 is the regression result of the data in Table 2 for one beam.
Fig. 3 is the regression result of the data in Table 2 for 6 different beams and this gives the final mathematical model for an open crack as )/(600.2)/(426.4)/(981.1/ 2 3 hd hd hdhw + − = , (3) where h is the height of the rectangular beam.
Guillaume, Identification of distributed material properties using measured modal data, Proceedings of ISMA2002 - Volume II, pp. 695-704
Chung, A study on crack detection using eigenfrequency test data.

The crystallographic texture was derived from EBSD data.
These data were collected from the center of the sheets thickness on longitudinal section.
Fig. 1 Optical micrograph in longitudinal sections before and after rolling: a) initial b) RT, 15% reduction, c) CT, 15% reduction, d) RT, 50% reduction and e) CT, 50% reduction.
Fig. 2 ϕ2 = 45°, 65° and 90° sections of ODFs before and after rolling: a) initial, b) RT, 15% reduction, c) RT, 50% reduction, d) CT, 15% reduction and e) CT, 50% reduction.( Levels: 1, 2…18.)
However, in present work, the β fiber consisted of a highest S, a medium B and a lowest C at 50% reduction and showed homogeneously at 15% reduction.

Determination of the Anchorage Depth of Rigid Anti-slide Piles Based on Biparameter Method Yanzhi Wu Department of Civil Engineering, Hefei University, Hefei 230022, China wuyanzhill@126.com Keywords:biparameter method;strength reduction;anti-slide pile;anchorage depth Abstract: In order to improve the design and calculation of anti-slide piles, the design method is proposed which can calculate anchorage depth of rigid piles based on bi-parameter mode of foundation coefficient and the corresponding formula is deduced in details.
In case of the data of testing piles given, calculation results can perfectly coincide with measurements with foundation coefficients adjusted.
The safety grade of slope is three level and the corresponding strength reduction factor is Fs=1.20.
When there are data of top displacement of piles and bending moment from testing piles, Calculation results of displacement on pile top and maximum bending moment of pile and its location can perfectly coincide with measured values using the double-parameter method with foundation coefficients m and n adjusted.
Therefore, in case of the data of testing piles given trial computations are applied to make calculation results of displacement on pile top and maximum bending moment of pile and its location coincide with measured values perfectly using the double-parameter method with foundation coefficients m and n adjusted.

Influence of Organic Load on Phosphorous Release and Absorption in HA-A/A-MCO Sludge Reduction Process Jinchao He1,a, Ning Zuo1, b 1Southwestern Science Research Institute of Water Transport Engineering, Chongqing Jiaotong University, Chongqing, 400016, China a401839655@qq.com, bzuoning_2424@126.com Keywords: Sludge Reduction, Phosphorous and Nitrogen Removal, Organic Load, Phosphorous Anaerobic Release, Phosphorous Aerobic Absortion.
Introduction In order to explore the method of improving phosphorous and nitrogen removal in sludge reduction technologies[1], an advanced process combining excess sludge reduction and phosphorous and nitrogen removal is developed, for short, HA-A/A-MCO process (Hydrolysis-Acidogenosis- Anaerobic/Anoxic- Multistep Continuous Oxic tank), which realizes phosphorous removal through hydrolysis acidification of raw sewage and phosphorus-release sludge improving phosphorus-release level and through eliminating anaerobic phosphorous accumulating sewage.
The researching results show that this process has better performance of simultaneous sludge reduction and phosphorous and nitrogen removal.
HA-A/A-MCO is an advanced sludge reduction process which is developed by our research group, whose flow path is shown in Fig.1.
When organic load is 0.141gCOD/gMLSS.d, 0.162gCOD/gMLSS.d and 0.207gCOD/gMLSS.d, the slopes of trio test data can basically coincide with that of regression straight line.

The order of reduction of the MIII/MII redox couple, according to increasing reduction potential, is: [Cr(acac)3] < [Fe(acac)3] < [Mn(acac)3] (with the most positive reduction potential).
The electrochemical data is summarized in Table 1.
Selected electrochemical data and electronic parameters (the acid dissociation constant (pKa), group electron negativities on the Gordy scale (cR + cR' ), Hammett meta substituent constants (σR + σR' ), and the Lever electrochemical ligand parameter (EL)) of [MIII(RCOCHCOR')3] complexes, for M = Cr, Fe or Mn.
b Data from reference [12] c Data from reference [13] d Data from reference [11] e Obtained in dichloromethane Fig. 4.
Data was obtained from references 11, 12 and 13.