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The effectiveness of biocoagulant on wastewater treatment in term of turbidity reduction, pH, DO and TSS were investigated.
Table 1: Particle size data for nanosized CP and micronsized CP Sample D10 D50 D90 Micronsized CP 0.3675 µm 0.8433 µm 1.9537 µm Nanosized CP 0.4473 nm 2.3758 nm 2.9938 nm FTIR analysis.
The highest turbidity reduction for nanosized CP biocoagulant was obtained at CP7, which is up to 65%.
However, micronsized CP biocoagulant achieved 55.92% of turbidity reduction at similar content of CP.
The highest reduction of TSS was 67mg/L by 5% micronsized biocoagulant and 40mg/L by 1% to 5% nanosized CP which indicates 61.27% and 76.88% TSS reduction respectively.

Access to network data Data preprocessing Feature Extraction Improved genetic neural network intrusion detection Analysis of decision-making and response Fig. 1.
The treatment for data feature Data reduction methods are usually of two: Feature Selection and Feature Extraction.
Matrix of sample data set M=(α1，α2，…{TTP}8230 ，αp)T=(β1，β2，…{TTP}8230 βp).
Demonstration experiment The Data of KDD CUP 99 collected by MIT Lincoln Labs.
Data of Principal components: 0.30589 0.11103 -0.04114 0.0414 0.6718 -0.5584 0.3313 -0.7731 -1.07775 0.06585 0.4667 0.3071 After the above treatment, it greatly reduces the complexity of the data without losing the original data by converting 41-dimensional original data into 12-dimension.

The synthesis of ethyl 2-(3-oxobenzo[d]isothiazol-2(3H)-yl)acetate (1) was achieved by the reaction of benzisothiazol-3(2H)-one(BIT, commercial from National Medicine Corporation, Shanghai of China) with ethyl chloroacetate[7].The physical and spectral data of ethyl 2-(3-oxobenzo[d]isothiazol-2(3H)-yl)acetate were in accordance with the data reported.
Percent viable counting reduction was calculated using the following formula [11]: Fig. 1 Microbial activity data of title compound in different concentration: 10-5 mg mL-1(C1), 10-4mg mL-1(C2), 10-3mg mL-1 (C3), 10-2mg mL-1 (C4), expressed as percent viable counting reduction.
When the concentration of the compounds is 10-4mg mL-1 the compound showed good microbial activity against Vibrio Alginolyticus with the viable cell reduction about 90%.
When the compounds concentration reached 10-2mg mL-1 the tested compound showed excellent microbial activity against all the tested bacterium with the viable cell reduction more than 99.6%.

Different symbols correspond to data from different specimens.
Only after this type of validation the edge data can be used as representative for the material.
An example with data recorded for GF/EP cross-ply laminate [2] is shown in Fig.6.
More details regarding the implementation of the phase-shifting technique and data reduction are given in [6].
The method is relatively slow (the data collection time for a single measurement in a fixed position along the fiber can take several seconds).

The paper intends to use decomposition analysis to disentangle distinct components behind historical carbon emission data in order to identify the factors which may have caused the observed changes based on the extended Kaya identity.
The factors of carbon emissions based the extensive Kaya identity and the decomposition method of LMDI are described in Section 2, followed by a presentation of the data sources in Section 3.
Due to lack of data in the statistics yearbook, carbon emissions generated by the straw, natural gas and other energy types are not under consideration.
In order to eliminate the influence of price fluctuation, the writers employ the data based on the constant price in 1978.
The data of energy intensity calculated from annually energy consumption is divided by the constant price of GDP in 1978.

To verify the prediction of FEM simulation in the cylindrical heatsink forging process, the experimental parameters such as stress-strain curves and fiction factor, are as the input data during analysis.
According to the relationship between inner diameter changes and height reduction, the calibration curve of constant shear friction factor for a 6:3:2 rings have been predicted.
Both the reduction ratio of height and reduction ratio of inner diameter are calculated.
The flow stress curves are the input data during the simulation of forging process.

According to the monitoring data, for years the landslide has always been in a certain speed to decline until nearly two years on which the sliding has reached a plateau.
The basic principle of shear strength reduction This article uses the shear strength reduction to gain the safety factor of the slope.
The safety factor of slope stability in the shear strength reduction is defined as: the extent of reduction of the soil shear strength that make slope just reached critical damage condition of rock, that is to say, definition for geotechnical engineering safety coefficient is that the ratio of actual shear strength and critical damage reduction after the shear strength.
The main points of the shear strength reduction are to use formula 1 and formula 2 to adjust the strength of the rock mass index c and φ, and then on the numerical analysis of slope stability, constantly increase reduction coefficient, repeat calculation, until reach its critical damage, then get reduction coefficient for safety factor that is Fs.
In addition, in the strength reduction in FLAC3D, except the reduction shear strength parameters, the user can also choose whether strength parameters of interface unit (interface) and tensile strength σt are for reduction, and use the Solve fos command in FLAC3D to calculate.

The limit equilibrium analysis, the strength reduction finite element method, the saturated/unsaturated seepage coupling and so on were applied to analyze the reservoir bank stability.
The numerical simulation analysis methods The strength reduction finite element method The numerical simulation analysis methods are mainly represented by the finite element method.Although the stability safety coefficients of thereservoirbank cannot be directly obtained by conventional finite element numerical analysis methods ,but the strength reduction method provided an effective way.The basic principle of the strength reduction method is that the material strength parameter values are divided by a reduction factor at the same time to obtain a new set of values .Then trial will be carried out as a new material parameter.Byunceasingly increasing the reduction coefficient RFand using the finite element method to calculate the stress and the strain of the reservoir bank,the reduction factor is the stability safety coefficient until the reservoir bank reaches the critical state oflimit equilibrium.Huafeng Deng[7] et al. applied the strength reduction finite element method to analyze one
The analysis of the reservoir bank stability is carried out combining on the strength reduction finite element method.This method is more close to the objective reality to the reservoir bank instability state and can reflect the influence of the reservoir water level influence on the reservoir bank stability.In considering the coupling effect of the seepage and the deformation of the reservoir bank,Guiyun Zhou [8] et al. analyzed the reservoir bank stability under the action of the saturated / unsaturated seepage by the strength reduction method.They carried out the specific calculation and analysis through some example.
According to the characters of the reservoir operation, the rule of wave action and the geological characteristics of the rock and soil of thereservoirbank , the mathematical model based on experience is established by the hydraulics, sediment dynamics theory and the actual observation data.

Introduction Advances in multimedia data acquisition and storage technology have led to very rapid growth of large multimedia databases.
Analyzing this huge amount of multi-media data to discover useful knowledge is a challenging problem.
This challenge has opened the opportunity for research in multimedia data mining, especially for video mining [1].
More and more video data generated in every day or evey time.
Effective video summrarization representation can dramaticlly increase the efficiency of video data.

Because the major concerns of industrial sponge iron production are concentrated on metallization reduction rate and lower impurity content, the grain size of zero-valent iron in which is large because the reduction temperature is always controlled at a higher level to obtain higher production rate.
Spherical Sponge Iron (SSI) with 1~5 mm diameter was prepared through the process of palletizing, roasting and direct reduction by charcoal.
The reduction process has been reported in our previous works [9], and the reduction temperature was selected under T1 and T2.
According to the kinetic experiment datum shown in Fig. 1 and Fig. 2, reaction rate equations of cadmium removal by SSI reduced under T1 and T2 could be calculated and illustrated in Table 1.
When the reduction temperature elevated to T2, pH in solution and cadmium removal tendency was similar as those as the reduction temperature controlled at T1.