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The RLS Lattice-Ladder algorithms and its adaptive filter property in the process of feature extraction were discussed.
Because of the lattice filter is order recursive, so the number of sections that it contains can be easily increased or decreased without affecting the reflection coefficients of the remaining sections.
is the weighting factor.
Its structure is highly modular and has the desirable properties of stability, and it has been applied in many adaptive filtering.
Journal of mechanical engineering, Vol.48(2012) , p.37-48

The value of tangential adhesive stress is affected by the viscous medium pressure, viscosity and forming time.
Because of too many working procedure, it is difficult to control the forming quality, this method can't satisfy the increasing requirement of improving the properties of forming parts.
Taking advantage of the mechanical property and easily loading mode of viscous medium, the occurrence of tube buckling can be delayed and the wrinkling can even be removed in a certain extent during local tube-compression process by VPF, which increase the diameter reduction limit.
Experimental Study on Effect Factors of Viscous Adhesive Stress in Viscous Pressure Forming[J].
Experimental Research of Mechanical Property of Viscous Medium[D].

There is a critical particle size to affect the grain growth in the microstructure.
Dispersed finely hard particles are usually used to control the microstructure evolution of materials, and obtain smaller grains, due to their pinning effect on the mobility of grain boundaries to arrest the grain growth, and achieve better mechanical properties through Hall-Petch relation in polycrystalline materials.
Chen etc. [6] has presented a phase field model to study the factor that can reduce particle pinning force significantly in grain growth when the grain boundary is pinned by multiple particles.
The values of 0.3 s for time-steps is chosen to balance the two factors.
It also can be seen form fig. 5 that, there is a critical particle size 1μm to affect the grain growth in microstructure when the particle volume fraction is 10%.

The hydrolysis of cellulose can be influenced by various parameters such as type of acid used, acid concentration, temperature and reaction time; whereby varying these conditions may affect the physicochemical properties and crystallinity of the CNCs [17].
Youngblood, Cellulose nanomaterials review: Structure, properties and nanocomposites, Chem.
Sabapathi, Cellulose nanocrystals: Synthesis, functional properties, and applications, Nanotechnol.
Desobry, Structural, mechanical and barrier properties of active PLA-antioxidant films, J.
Velazquez, Cellulose-glycerol-polyvinyl alcohol composite films for food packaging: Evaluation of water adsorption, mechanical properties, light-barrier properties and transparency, Carbohydr.

The rivet will pierce the upper sheet metal when semi-tubular rivet is pinned down by punch, then lower end of the semi-tubular rivet will expand in the nether sheet metal to form a mechanical mutual interlocking mechanism under the combined action of both die and punch, as shown in Fig. 5.
However, the riveting joint strength is influenced by sheet metal material properties, mould structure, riveting force, etc, and to appropriate select and optimize the technical parameters and affecting factors is the key to further develop this riveting technology.
Compared with the other riveting technology, spinning riveting needs a lower load and has uniform stress on sheet metal which is conducive to form mechanical interlock riveted joint.

Introduction As the Metal Oxide Semiconductor Field Effect Transistor (MOSFET) becomes smaller, the number of atoms in the silicon that produce many of the transistor’s properties is becoming fewer, with the result that control of dopant numbers and placement is more erratic [1].
Chemical Mechanical polishing was then applied to eliminate extra oxide on the wafers.
Among these control factors, Factor E was considered to interact with Factors A, B, C and D.
Therefore, these factors should be set at ‘best setting’ and can not be used as an adjustment factors.
Whereas factors D or E could be described as an adjustment factor because it has the large effect on mean and small effect on variance if compare with other factors.

Many influence factors are considered in B3 Model, such as the element size, ambient humidity, and the strength of the concrete and its material composition (type of cement, water-cement ratio, cement content, and aggregate-cement ratio) et al.
and are the correction factors for loading-age, ambient humidity, element size (volume-surface ratio), slump of concrete, fine aggregate and air content respectively.
From the above prediction models, it can be seen that the concrete creep is affected by numerous factors.
However, constrained by the various factors related to the loss of prestress and other complex cases, the current calculation methods can not precisely get the right answer in the actual project [6, 7].
The mechanical properties and deflection properties of new building materials have been studied widely, and many remarkable achievements have been carried out [8, 9].

Takahara et al. [13] investigated the allowance of deviation and gap for butt welding of 3mm plates of AA5083-O alloy and found that a gap up to 2mm did not affect the tensile properties of their welds.
The chemical composition and mechanical properties of the parent plate are given in Table 1.
Table 1: Chemical composition (in wt. %) and mechanical properties of AA5182-H111 (T500).
Fatigue properties of friction stir welds in Al 5083 alloy.
The influence of zigzag-curve defect on the fatigue properties of friction stir welds in 7075-T6 Al alloy.

Hwang, Properties of HPC with recycled aggregates, Cem.
Brownyard, Studies of the Physical Properties of Hardened Portland Cement Paste, J.
Khan, Predicting properties of High Performance Concrete containing composite cementitious materials using Artificial Neural Networks, Autom.
Weinberg, Prediction of dynamic properties of ultra-high performance concrete by an artificial intelligence approach, Adv.
Sayarinejad, Prediction and modeling of mechanical properties in fiber reinforced self- compacting concrete using particle swarm optimization algorithm and artificial neural network, Constr.

In this case of polylactic acid made assembly tool is made manufacturing optimization with polylactic acid material properties in mind.
Authors Xiao L. et al. [2] focused on the properties of PLA material, biodegradability and industrial application.
It even reaches the same properties (flexibility, hardness, transparency, flexibility).
Reason for this setting is time management and fact that there is no need for fine layers in this case. 3D prints from FFF machines have different mechanical properties in Z axis and XY axes.
Hexagonal pattern was chosen for its strength properties.