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In this paper, the spinel ferrites Fe3O4 and MnFe2O4 nanoparticles were synthesized by using a solvothermal reduction method.
X-ray diffraction (XRD) and Raman analysis shows that all the peaks are close to the data for Fe3O4 and MnFe2O4, indicating the prepared particles are single phase.
Experiment The monodisperse Fe3O4 and MnFe2O4 nanospheres were prepared by a solvothermal reduction method.
The Fe3O4 and MnFe2O4 nanoparticles would then be produced in the reduction reaction.
Therefore, the spinel ferrite samples synthesized by a solvothermal reduction method are sometimes contain g-Fe2O3 impure phases.

The results have important significance to the mechanism studies of the HNPs drag reduction technology. 2.
Table 2 The drag reduction results and the slip length Experiment No.
According to the Carman-Kozeny relationship[16], the permeability of porous can be expressed as: (9) From above equation, the average pore size can be derived out as follows: (10) The cores’ actually pore sizes can be calculated out by substituted the experimental data to formula (10), results are listed on table 2.
Laminar drag reduction in microchannels using ultrahydrophobic surfaces, Physics of Fluids, 16(2004) 4635-4643
Drag reduction on a patterned superhydrophobic surface, Phys.Rev.Lett, 97(2006) 44504

It can remove the redundant information in the original data, and extract the most useful information through data analysis directly.
If the condition attributes set reduction is a nonempty set .
Then is called a reduction, the set of all reduction credited as.
This paper collects hundreds of groups transformers historical fault data, and selects the 30 groups representative samples to transform the training set, 10 groups for test set.
Reduction of decision table.

In this study, the green synthesis using chemical reduction of Premna serratifolia linn leaf extract was used to produce ZnO nanoparticles.
One of the environmentally friendly methods is chemical reduction using plant extracts in the fabrication process.
These flavonoid and alkaloid compounds can provide a role as a bioreductor in the synthesis of ZnO via chemical reduction.
The XRD data was compared with The Joint Committee on Powder Diffraction Standards (JCPDS) card for hexagonal wurtzite ZnO (JCPDS 036-1451) to identify the crystalline phases present in the samples.
The analysis of the XRD data from the samples synthesized at different calcination temperatures indicates that the obtained peaks match well with the characteristic peaks of hexagonal wurtzite ZnO.

Using STC89C52 as the core processor, the  hardware consists of signal section modulating circuit, acquisition circuit and communication circuit; C language and LabVIEW graphical language are used to develop the system, including A/D conversion, data transmission, reduction and linear compensation, section control and data storage.
The system is improved furtherly by analysing the measured data.
Data storage module is shown in Figure 6.
Firstly, in the data storage module, data and time are stored to the text of lifting capacity conversion by the mothod of string conversion.
Program of data storage.

These multiple variables to describe the state of the data abstraction are the high-dimensional data.
Usually using data dimensionality reduction to the mining of low-dimensional linear or nonlinear manifold embedded in high-dimensional data, and maintaining the overall geometry of the characteristic properties unchanged for feature extraction analysis for fault diagnosis.
And geodesic distance between high-dimensional data regards as essentially low-dimensional representation of invariant feature of the Euclidean distance between data to dimensionality reduction.
The algorithm in fault diagnosis to data dimension reduction, the dimension estimation mapping function and predict classification has been applied.
By the tag data to establish the objective function, it measured clustering unlabeled data based on the Hellinger distance.

This model provides a relative simple description of hysteresis without needing a large amount of data in a lookup table.
The Bouc-Wen hysteresis model for an active suction block was determined using experimental data from ramp input increasing (0 - 10V) and decreasing (10 - 0V) by voltage rate 1 V/s major loop hysteresis curve sampled at 1 kHz.
The identified hysteresis loops initially appears to fit well to the measured data.
This suggests a 93.28% reduction in major hysteresis loop area.
This larger amount of data allows more accuracy in hysteresis model result.

So it can destruct the marine environmental factor data in a fast and effective way, and make the data be unrecovered, thereby prevent data leaks, ensure data security.
l Chemical corrosion damage method: using the chemical reagent, will drive disc magnetic medium corrosion damage, so as to avoid the data reduction.
l Data overwriting method: also known as data wipe division [7].
Data delete method can't completely clear data, use some special software recovery tools can make the data reduction; Strong degaussing method, burning high temperature destroyed method, physical damage method, chemical corrosion damage method these several ways need professional destroyed equipment or chemical reagent, and require manual intervention to remove storage media data destruction from buoys, it is unrealistic for marine environmental monitoring buoy data storage module.
Data overwriting Data overwrite method is based on the U.S.

It is the first time we reported (S)-1-benzyl-3-pyrrolidinol-borane which is the intermediate of the reduction with sodium borohydride-iodine system, and its spectral data (IR, 1H NMR, 11B NMR, MS spectroscopy).
The reported m.p. and specific rotation data of 3 show that in Kocalka’s preparation some epimerization occurred [3].
We studied the mechanism of the reduction and used IR spectra to study the process of the reduction and modified the reaction conditions.
The m.p. and specific rotation data of 3 were the same as the literature [6] reported.
The reaction was carried out under different rate of n (3): n (NaBH4): n (I2) and reaction time( data were not showed) and use IR spectra to trace the reduction.

Therefore, an advanced data analysis and processing tool (i.e. efficiency data mining technology) is introduced for analyzing and mining large amounts of data monitored with the smart industrial park system.
Data service In the smart industrial park system, the data in all automation systems is extracted, cleaned, transformed, and synchronized through the data integration, and also the data is converted into a unified model format and stored in the database.
From the data, knowledge is mainly extracted by data mining algorithm.
Preprocessing data Data preprocessing can be divided into data integration and data cleaning.
The grey prediction model and data smoothing processing are studied in depth, and also the processing correction methods of electricity data missing and abnormal data are proposed.