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Wavelet analysis is an emerging technique over the past years, which has been rapidly developed due to its merits in data representation power and some nice properties for signal processing.
Recently, wavelet transforms have been widely recognized and used in weak signal detection, feature extraction, data compression, fault diagnosis, and is playing a significant role in information technology and signal processing.
The basic idea behind the theory of compressed sensing is to find a better way to represent data with few parameters without loss of much information when the data is reconstructed [1].
Therefore, the compressed sensing theory can be employed to achieve the goal for noisy reduction.

Various metallurgical refining processes of SOG (Solar Grade)-Si are being developed aiming its cost reduction for the PV (Photovoltaic) market.
However difference between Scheil’s equation and experimental data exists, because a part of primary Si crystal seemed to be carried outside through the chute with unfrozen Al-eutectic Si during centrifugal separation.

To improve the productivity of the hot stamping technology, the reduction of time for the heating process is required.
The heating rate of 10°C/s which is similar to the conventional heating is employed to obtain the reference data.

Water samples were characterized and the data was averaged for the three types of raw water, Luan River, Yellow River, and mixture of Luan River and Yellow River (mixture water).
Treated by follow-up processes, formaldehyde got a great reduction, less than 100μg/L was detected in the final effluent expect a concentrition of 159.7μg/L measured on 21-02, which were all far below the water quality standard of 900μg/L[12].
Conclusions The experimental data of full-scale tests performed on three different types of raw water led to the following conclusions: 1) The processes applied in this study with preozonation were applicable to treat typical source waters in North China.
It also demonstrated an applicability of the processes to different raw water, even under the same operation parameters. 2) A great reduction of THMFP and HAAFP was obtained, helpful to lower the formation of DBPs when chloridized.
The authors also greatly appreciate the Water Supply Company for the fruitful collaboration and making the data of the water purification site available.

It was concluded that this method was an approximate way of expressing the state and number of cutting edges present on a grinding wheel with the advantage of generating data in an aerial form (mm-2).
Sds = Number of Summits M − 1( ) N −1( )• ∆x • ∆y (1) where M and N are the number of profiles and data points and ∆x and ∆y are the sample spacings in the x and y direction respectively.
Before the measurement could be analysed the slope had to be removed by applying a least squares plane to the data as well as a third-order polynomial filter to remove the wheel curvature.
The reduction in Sds reflects the loss of cutting points due to either blunting or grain removal.
The parameter Sds has been shown to provide information on the overall reduction in the number of grains while Ssc has hinted that for some wheels the grains are self-sharpening.

To study the influence of thrust forces on burr height, force signals from dynamometer were also investigated through the data acquisition system.
Thrust forces were measured with a multi-component dynamometer (make: Kistler) and force signals were processed through computerized data acquisition system (Fig.5).
SN= -10log[1ny2] Eq. 1 Where, y is the observed data and n is the number of observations.
Thrust force is transmitted through the drill’s cutting edge and the Al matrix tends to yield due to the reduction in interfacial bond between Al and fly ash particles.
The reduction of interfacial frictional force tends to decrease the thrust force and reduce the tendency of work piece material to build up on a cutting tool edge during drilling Al–fly ash/ Gr composites.

With any change of the waveguide resulting in changes of the Lamb waves propagation and damping behavior, non-damage related changes, e.g. due to temperature changes or humidity absorption, can also alter the systems response and lead to false alarms or a reduction of the damage detection ability.
As outlined in [7], the reconstruction of the time history of an impact event can be performed by solving an optimization problem to minimize the difference between the experimentally obtained strain data and that predicted using a model of the structure under investigation.
To account for this, ge can be separated into three parts: (3) Here, ge_base contains the reduction of the effective strain on the sensor due to the interaction between sensor, structure and adhesive, ge_u contains all changes due to deviations from the state in which ge_base was measured and the rest of the equation transfers the measured voltage to a mechanical strain (and can be integrated into ge_base and ge_u in the following process).
From this set and the baseline data, the in-situ stiffness and ge_u would be calculated.
Experimental Procedure Experimental data was obtained and treated using the described methodology, both with and without compensation.

(3) Particle spacing increases gradually under the action of such pressure while coarse aggregate is subject to the action of vibratory impulses too and gets into relative movement so that the built-in extrusion acting force between coarse aggregates suffers damage, which leads to great reduction of friction inside concrete.
It can be known from Eq. (1-1) that void water pressure increases, the angle of internal friction decreases, the shear strength of concrete disappears, and concrete stays temporarily in a liquefied condition; the appearance manifests the beginning of bleeding on the surface and quick reduction of volume.
Experimental data show that, after 60 s in vibration, the vibrational viscosity coefficient of type A air-entrained concrete no longer increased and showed a tendency of decrease.
The rising heights of buoys in air-entrained concrete increased by 57% or so during the experiment, as compared with normal concrete (PT); at the same time, it was found through comparison of standard deviation values of acquired data that the transfer of vibrational energy in air-entrained concrete was more even and its standard deviation value decreased by 36% as compared with normal concrete.
Fig.3 Effect of air entraining agent types on the yield stress and plastic viscosity of mortar It can be seen from the data in Fig 4.3 that different types of air entraining agent added to cement mortar change the rheological mechanical behavior of cement mortar to different extents.

According to this equation, the sintering rate (dX/dT) is the result of two antagonistic effects that develop simultaneously with increasing temperature: a notable reduction in viscosity (h (T)) and an increase in the sintering degree (X).
As may be observed, the agreement between the experimental data and the calculated values is excellent.
Comparison of the experimental data with the values predicted by the model. a) Variation of the sintering degree of progress with temperature; b) Variation of the sintering rate with temperature.
At temperatures above 1000ºC (step III), when the temperature rose, the amorphous phase content increased practically exponentially (Fig. 6), which, together with the reduction in amorphous phase viscosity, also exponentially increased the densification and the densification rate (Fig. 5) up to temperatures close to 1100ºC (final sintering step). 4.
It was verified, in fritless glazes, that the effective viscosity values, obtained from the sintering model, agreed very well with the experimental data (fixed viscosity points) and the values estimated from the modified Müller model.

These data could be attributed to the higher hydrophilicity of CMC due to the character of the negatively charged carboxymethyl groups incorporated in the chitosan backbone, considering that the gain of water is mostly related to the concentration of hydrophilic groups in the polymer [13].
These data reveals the introduction of carboxymethyl groups in the chitosan structure and the reduction of the thermal stability of the polymer derivative as the temperature corresponding to the onset of the degradation step decreased [13].
In relation to the thermal analysis, the results reveal the reduction of the thermal stability of the polymer derivative as the temperature corresponding to the onset of the degradation step decreased.
The potentiometric titration showed that chitosan presents DD of 85%, compatible with the data from the manufacturer (DD> 75%).