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Iterative method is superior if the projection data contains high noise or is incomplete.
Aside from the relatively less data needed to be processed to generate an image, half-scan methods also have the advantage of potentially reducing the time of data processing and reconstruction.
The reconstruction input data are selected from them.
A half-scan error reduction based algorithm for cone-beam CT.
Feldkamp-type VOI reconstruction from super-short-scan cone-beam data.

The age in pipelines network is a major problem and the reduction of these has become a major priority for pipeline authorities around the world.
The technique identified singularities in the simulated data, however when the same analysis was applied to the experimental data, the expected results did not agree with the lengths found in the network.
The measuring instrument for data capture used data acquisition from National Instrument at sampling frequency of 1 kHz to capture any change in the steady-state operating.
The raw data will be capture by using software Dasy Lab and then data will be analysed using signal processing analysis synchrosqueezing method from software Mat lab.

This procedure smoothes out minor errors of individual data points.
Data analysis includes all pixels in a ring-shaped area around the hole, described by the inner and outer integration radius, which the user can select.
Displacements diminish with distance from the hole, so that measurement data becomes less and less useful for the analysis.
While the hole-drilling process is similar to that of the common strain-gage method, measurement and data analysis are quite different.
This may have affected hole quality, but not that much that data analysis was clearly affected.

Data and Calculation The spatial distribution of settlement and GDP can directly reflect the strength of local human activities and the socio-economic level of development.
In this paper, the remote sensing data, including four sets of Landsat acquired in 2010, were selected to conduct the research; 1:50,000 topographic maps were acquired by government bodies and 30 meters resolution of the DEM data were adopted as auxiliary data.
Through the geometric correction and visual interpretation, we collected the spatial data of land use in study area.
The 2000 annual GDP data was derived from the 2001 statistics yearbook of each county.
We conducted the interpolation analysis of the annual GDP data using Kriging Method, and picked up the spatially distributed information about them in each 1km Grid Square.

It is also shown that the proposed method reconstructs the Lorenz attractor from limited data volume and data including random components.
The estimated parameters a = a, b = b, . . . , g = g are considered as guess values for subsequent minimization of goal function of type (21), where the fourth row is changed to G ← 1 2 NX i=0 �X⟨3⟩ i − zi�2, where X⟨3⟩ is the fourth column of matrix X in (21).Remarks on Small Data Volume and Random Data If the data volume is small it is impossible to accurately perform the data interpolation and estimate numerical derivatives and integrals.
Similar situation arises with data bearing random components.
Results of randomization of xi- data are shown in Figure 1 by dots.
Chartland, Numerical differentiation of noisy nonsmooth data, ISRN Appl.

In addition, principal components analysis (PCA) is used to extract the main features of the wavelet order spectrum and reduce the volume of data.
Using few main components, it can keep most the original data set intact without mutual relationships to achieve the simplifying data
Fig. 1 The flow chart of wavelet order spectrum method Fig. 2 Wavelet order spectrum The wavelet order spectrum method with PCA, through the selection of principal components as principal features for the fault diagnosis, reduces data dimensions of the wavelet order spectrum.
The SOM neural network learning algorithm can automatically find it’s similarities between input data, with the configuration of input which close to the output layer neurons, and thus forms the input data which can be selectively provided to the reaction grid.
In addition, through the PCA data reduction process, training time can be reduced to 85 seconds .

The nodalized beam installation structure has an obvious effect on the vibration reduction and could be used for MGB with large height/diameter ratio and the MGB with the modular main rotor shaft.
Since the pinion is a spur gear without axial force applied on it, the supporting structure could be much simplified with reduction of weight.
Fig.31 Finite element meshes for casing and shaft The development history of the strength analysis methods and the corresponding required material property data are shown in Table 3.
Table 3 Strength analysis method and its required typical material property data Time Method of strength analysis Typical material property data Before 1960’s Static strength evaluation E, , ,, ，σb , σY 1960’s Safe life and vibration analysis S-N curve 1970’s Strain fatigue theory, limited life design Curve 1980’s Fracture mechanics theory, damage tolerance design Fracture property,, 1990’s Reliability design, probability life design -3 data, flaw feature and distribution As to the dynamics design technique, the power transmission system was separately analyzed in the past, and now the integrated analysis technique has been developed, taking into account the engines, the rotor of helicopter and the power transmission system as a whole.
Vibration control and noise reduction.

First, probabilistic cyclic stress-strain model and linear heteroscedastic probabilistic cyclic strain-life model are founded based on the fatigue test data.
The fatigue life follows lognormal distribution, the lognormal is often much easier to use, and some researchers found, more often than not, lognormal provides a better fit than the Weibull to real fatigue data[2].
This paper presents a probabilistic cyclic stress-strain model and a linear heteroscedastic probabilistic cyclic strain-life model[5] based on the fatigue test data of turbine disk material GH4133.
All the test data are between in the curves with μ = ±3, it was accounted for that Eq.11 could simulate the distribution of cycle stress-strain curve very well.
The probabilistic cyclic stress-strain model and linear heteroscedastic probabilistic cyclic strain-life model of GH4133 are founded based on the fatigue test data.

Both regression analysis [2-3] and artificial neural network method [4-7] have strong nonlinear mapping ability, self-learning and adapting ability, but the distribution network line loss calculation cannot guarantee a comprehensive and sufficient data, which leads to a large error.
Fig.6 A feeder line's topological structure 1.2.2 Determination of Every Segmented Line Shape Coefficient in feeder lines Since the collected data is limited, the trunk ultimate load curve is fitted out under the circumstance that assuming the phase of each branch load is equal.
In the process of seeking the maximum line loss ultimate value, the paper only considers the maximum ultimate loss with more accuracy according to the collected data, and the maximum ultimate loss is the upper limitation, which will not happen in the normal condition.
The above data well prove the conclusion of literature [9].
Grid power loss management and loss reduction techniques[M].Bei Jing.

Furthermore, an evaluation and adjustment of structural design or manufacturing data in the context of data exchange between different domains and interdisciplinary research areas requires a data feedback loop [4, 5].
In the developed parameter-based method for path planning the initial data out of a design model is used to calculate the required path using an analytical sequential TCP path generation approach.
Fig. 2 Schematic sketch of the ideal fibre deposition orientation An example for the initial geometrical data for the model used in Fig. 2 using a rectangular reference mesh is shown in Fig. 3 (left side).
Fig. 3 Geometric initial data for trajectory generation (left) and resulting simplified trajectory output of the software component for an ideal path orientation (right).
The approach enables the use of arbitrarily complex intermediate segments in the fibrenet and thus also an implicit manual specification for a collision avoidance movement without further input data.