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An empirical model is developed by the analysis of variance (ANOVA) of experimental data.
Introduction Recently, there has been an increasing demand for micromachining due to the trend of miniaturization (reduction in size and weight) of technological devices for higher level of performance with minimum energy.

So, if we combine the two methods using monitored data in the field, we can analyze slope stability clearly.
The parameters of reduced shear strength are calculated with Eq. (1) below: [5, 6] (1) Where RF is the reduction coefficient for shear strength, and are the effective cohesion and internal angle of friction, respectively, of the soil, and and are the effective cohesion and internal angle of friction, respectively, of the soil at failure.

Both Healthy and Faulty LRB conditions data were collected for 10 minutes each, which is adequate for 10 sets of data divided into training, validation, and testing with a fixed 6:2:2 ratio, respectively.
For example, [11] trained a U-Net model constructed by multiple CNN layers using the seismic field data collected at Hussar, Alberta, by the CREWES Project and found that the noise reduction obtained using their neural network architecture shows considerable promise in seismic data processing.
The SHM heavily relies on high-quality data, yet the real application environment and imbalance between good and faulty data collected become challenges in achieving high accuracy of predictive models [12].
Raw vibration data were acquired from both healthy and faulty LRBs.
Stewart, Attenuating coherent environmental noise in seismic data via the U-net method.

From the data obtained, the BIB walling system was calculated and identified.
From all the data and analysis carried out, it is found that the features of masonry unit have influenced the walling properties of the constructed wall.
This work offers valuable data of BIB to the masonry walls properties under compressive load.
However, there is no specific data produced to allow the BIB units to be used in masonry construction as a load-bearing on non load bearing wall.
The data logger used to record and analyse the strain measurements and applied loads until failure occurred to the specimens.

Spatial multiplexing in the multi-user MIMO downlink allows each user in the system to receive multiple data subchannels simultaneously using the same time and spectral resources.
This algorithms can provide a substantial gain in network downlink throughput by allowing multiple users to communicate in the same frequency and time slots, which allows the transmission of multiple spatially multiplexed (SMUX) data streams to multiple users and results in very high data rates [2].
Since we assume that each data symbol has unit variance, the total transmit power constraint can be expressed as .
For the case that one stream data symbol is transmitted to each user (), is the eigenvector corresponding to the largest eigenvalue: (11) For the case that multi stream data symbol is transmitted to each user ( ), is the eigenvectors that correspond to the largest generalized eigenvalues of the matrix pair.
The BS sends a single data stream to each user.

The digestion efficiency was evaluated on the basis of the determination of residual carbon content and residual acidity. 4 mL of 16 mol/L HNO3 + 2 mL of 30% m/m H2O2 solutions were used for the efficient digestion of 3.0 mL pomegranate juice, with a considerable reduction in the residual acidity when compared with a procedure that employed different Digestion procedures.
Table 1 Collection dates of fruit maturity at distinct stages along days after full bloom(DAFB) Stage Harvest data DAFB S1 5 August 2013 80 S2 15 August 2013 90 S3 25 August 2013 100 S4 5 September 2013 111 S5 15 September 2013 121 S6 25 September 2013 131 S7 5 October 2013 141 Digestion procedure.
The data clearly showed that zinc (followed by iron) was the predominant trace-element in pomegranate juice.

Activated nitrogen-enriched carbon/reduced expanded graphite composites (ANC/REG-c) with different composite ratio were prepared by in-situ polymerization, carbonization, activation and reduction of aniline and expanded graphite.
The galvanostatic charge/discharge data of symmetric supercapacitors consisting of ANC/REG-c with different composite ratios as electrodes are shown in Table 3(the current density was 7.5 mA/cm2).
The impedance data verify the results and analysis of electrochemical properties.

Therefore, Projection Pursuit Evaluating Model (PPEM) is proposed to be established in order to achieve a dimensionality reduction process.
PP method can overcomes the severe difficulty of dimensions from multi-dimension data, because it analyzes data in the space of low dimension, it is enough dense to projection space of 1~3 dimensions, so can find out the structure or character early in the projection space.
In addition, it can make a projection of multi-dimension data in one-dimension space, then analyze one-data and compare different projection value to find out the optimal projection direction.
Viewing from the original data, five indexes in program 5 is better than program 3, two indexes are the same and only two indicators is inferior.
It has solved evolutionary problem of high dimensional data in overall situation as well as reducing the workload.

Analysis of Fourier transform infrared (FTIR) displayed the reduction of hydroxyl group in nitrocellulose proving that several hydroxyl group in cellulose was successfully replaced by nitryl group.
This is the preliminary studies where the data will be used for further investigations using an optimization tool, Response Surface Method (RSM) in finding optimum condition in order to enhance NC production for propellant uses.
Analysis of FTIR also displayed the reduction of hydroxyl group in nitrocellulose proving that several hydroxyl group in cellulose was successfully replaced by nitryl group.

To develop the heat storage media for therapeutic heat applications, silver nanoparticles (AgNPs) were loaded onto silica sand surface using chemical reduction method.
Sample preparation: Silver nanoparticles were directly synthesized onto silica sand surface using a chemical reduction method.[5] The reducing solution, containing a stabilizer, was prepared by dissolving 0.25 g of fructose and 0.025 g of diammonium hydrogen citrate in 250 mL deionized water.
In fact, the silica sand can retain heat, but has low heat conduction ability with high specific heat value (800 J·kg-1·K-1) [6] and low isotropic thermal conductivity (0.26 W·m-1·K-1) [7] (data taken from silica sand with a density of 1500 kg.m-3).