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When the first impermeability data is taken down, the water pressure continues to be raised until the six specimens are all permeable and the first impermeability experiment ends.
The experiment data is shown in Table 5.
Therefore, when the mortar matrix is mixed with two materials, fibers not only have the ability of crack resistance, brittle reduction and shrinkage resistance, but also provide a basis for the better performance of SJ material’ properties, enabling the mortar matrix to own properties of high crack resistance and high impermeability.

Experimental testing of the RSFJ with the secondary fuse Secondary fuse is activated Reduction in FRSFJ,slip Analytical Experimental kRSFJ,fuse (a) (b) Fig. 5.
It can be seen that the analytically calculated effective stiffness of the RSFJ after locking perfectly matches with the experimental data.
The data in Fig.8 suggests that having RSFJs in the roof has a minor effect on the base shear and the maximum inter-story drift.

Line 01 (115.4,y,75) Figure4 – Velocity data location used for validation.
As the critical void regions are located at the ends of the mold and that increased resin inlet flowrate causes a reduction in voids within the mold, was applied the method proposed by Lee et al. [26], using different injection points, in order to reduce the voids at the mold ends in the short period of time the idea is to obtain good finish quality of the composite after injection progress.
From the data obtained, although the injection configuration is different for the three cases, the total resin mass flowrate is the same in each case, and the resin and air volume fraction curves are practically the same.

Tosun et al. [2006], Drilling of Al/SiCp Metal Matrix Composites in which Surface roughness, flank wear reduction by taguchi technique by Gul Tosum & Mehtap Muatoglu [2003] investigated the effect of the various cutting parameters on the surface quality and microstructure on drilling of Al/17% SiC particulate MMC by using various drills.
In the grey relational analysis, data processing is first performed in order to normalize the raw data for the analysis.

This deterioration is represented in the model as a reduction of capacities of production lines.
Numerical Example A part of our data is based on the numerical example used in [7, 13].We define a planning horizon containing 8 basic production periods such that.
Table 2: Production data Product/ Period Producing cost Launching cost Storing cost Breaking cost Fixed needs Variable needs i={1,2} t={1,…,8} 5 25 2 100 5 1 On the other hand, we assume that the system lifetime is distributed according to the Gamma distribution with the parameters.

According to the data obtained, in the case of filling the PPS matrix with industrial glass fibers not treated with coupling agents, destruction is observed near the fiber surface; for fibers treated with γ-aminopropyltriethoxysilane, interfacial adhesion between the fiber and PPS is observed.
The functionalized polymer is obtained by treating PPS with a mixture of nitric and sulfuric acids, followed by reduction of the nitro to amino group according to the following scheme [44–46]: PPS containing side amino groups can also be synthesized by the method of nucleophilic substitution in the medium of N-methylpyrrolidone under pressure [47].
The data obtained are confirmed by SEM micrographs (Fig. 3).

Noise reduction is, for several purposes, a very challenging and complicated issue.
For analyzing ECG signals, data 100m, 104m, 105m, 119m, and 208m collect from the Physionet site under the MIT-BIH arrhythmia database.
Step 1: Read ECG signal xn from MITBIH data base and add noise vn to that signal to get a noisy ecg signal yn=xn+vn                                                                                                         (6) Step 2: Apply EMD [10] to the noisy ECG signal yn then the decomposition is as follows EMDyn=pn=k=1Nckn+rNn                                       (7) Where pn is the decomposed signal, rNn is the Nth residue and cknis the kthorder Intrinsic Mode Functions (IMFs).

Overby[1] carried out study on remanufacturing as early as in 1980, he found that the advantages of remanufacturing involve material and energy conservation, job creation, reduction of pollution, and so on.
In 2002, Jorge et al [18]presented a model to predict the quantity and time for return of cores, and carry out simulation based on relative influencing factors and lifecycle data of products.
Core collection and transportation Remanufacturing process Distribution of remanufacturing products Use /reuse and maintenance Recycling and disposal Devising of an inventory checklist Data acquisition and review Construction of computational model Impact analysis Improvement analysis Fig.1.

It has been realized, that a reduction of the average carbide grain size below 1 µm is of advantage to further optimize the carbide fraction.
Specifications of the nanopowders are summarized in table 4, data of the suspensions based on these powders are given in table 5.
Mechanical and structural data of the HVSF sprayed coatings Spray material Vickers hardness Coating porosity (%) Rz [µm] Ra [µm] Phase composition derived from XRD n-Al2O3 1000 HV0.1 5 3.14 0.58 mainly γ n-TiO2 / TiC 710 HV0.1 1 - 2.5 31.4 5.52 mainly rutile n-Cr2O3 2250 HV0.1 0 – 0.5 5.80 0.74 hexagonal APS and HVOF sprayed wear resistant coatings combined with polymer top coats The combination of thermally sprayed wear resistant coatings with polymer top coats represent a composite coating that basically offers the possibility to combine wear resistance with added chemical or tribological functionality that is provided by the polymer system.

Differentiated data will be collected for analysis according to the objects and levels of analysis [10].
Patent analysis, widely used for scientific investigation or commercial application, provides basic data for information transfer, strategic management, technology predictions, and performance measurement between different organizations or between countries.
Improving efficiency in transportation High efficiency low pollution vehicle technology Smart transportation, logistics technology Green land Eco-space construction and urban regeneration technology Environment-friendly low energy construction technology Environment-friendly manufacturing process, material efficiency improvement Green Process technology considering environment load and predicted energy consumption Environment protection/ resource recycling Weather change prediction, impact evaluation Weather change prediction and modeling development technology Weather change impact evaluation and adaptation technology CO2 collection, storage, treatment technology Non-CO2 (Greenhouse gas other than carbon dioxide) treatment technology Water quality environment Water system, water quality evaluation and management technology Alternative water resource securing technology Environment restoring Harmful material monitoring and environment purification technology Waste treatment Waste reduction