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Obtained data will be used for developing of optimal parameters of ram with fillets for increasing dimensional quality of produced parts.
# Bending angle, [°] Ratio of blank thickness / punch radius Angle of springback, [°] Reduction of springback (times) Standard ram Ram with fillets Along rolling Across rolling Along rolling Across rolling Along rolling Across rolling 1 60 0.5 2 2 1 0.5 2 4 0.5 7 3 1 0.5 7 6 2 1.5 6 3 1.5 3 4 1 1.5 4 3 3.5 3 1.14 1 3 2.5 5 5 3.5 4 1.43 1.25 2.5 6 5 3 4 2 1.25 4 90 0.5 2 1 1.5 1.5 1.33 0.66 0.5 1.5 1.5 1 1.5 1.5 1 5 1.5 2.5 2 1 2 2.5 1 1.5 2 1 1 1 2 1 6 2.5 1.5 4 1 1.5 1.5 2.66 2.5 4 2 1.5 1.5 2.66 1.33 7 90 0.5 2 1 0.5 0.5 4 2 0.5 2 1 0.5 0.5 4 2 8 1.5 1 1 1 0.5 1 2 1.5 2 1 0.5 0.5 4 2 9 2.5 1 2 0.5 1 2 2 2.5 2 1 1 1 2 1 Summary The obtained reducing of springback angle during bending sheet steel blanks by hammer with special ram with fillets can be use for technological purposes for increasing of dimensional quality of parts and reducing of labour-output ratio manufacturing costs.

Optimization and reduction of zeolite A synthesis costs are the focus of several studies.
XRD data and refinement show that the obtained material presents 99.84% crystallinity, average crystallite size of 54.92 nm, and a semi-quantitative percentage of 79% zeolite A.

(3) Data analysis Sleep EEG data used in this paper were from the PhysioBank the MIT-BIH Polysomnographic Database.
Records in the Database is a multi-parameter sleep data, including EEG, ECG, EOG, EMG etc.
The data sampling frequency is of 250Hz.
It was randomly extracted 5 wake stage signals and 5 NREM I stage signals from subjects slp41 with data length 2000.
The analyzed data were 500 sampling points.

An interpolation surface is constructed using an image data as the interpolation data.
Lastly, the new gray as interpolation data are used for reinterpolation.
Denote by, then are the given set of data points.
These data is not only pure random, but also complete constructed.
The followed is reinterpolation using the new gray value as the interpolation data.

Hidden layers process the input data from input layer and create response(s) in output layer.
In the process of providing field data we tried to take sample from all combination of sampling space.
About 60% of data were used for training the network with different topologies and BR training algorithm.
About 20% of data were used as validation data and the rest were used for testing the model.
The criteria for selection of the best network are high amount of R2 for training, validation, and test data, as well as the low and close amount of RMSE for three mentioned parts of data.

This paper focused on investigation about gray balance data variation caused by slight chromaticity deviation of printing material.
Accurate color balance data is a ruler of color conversion, color matching and representation [1-3].
To get accurate gray balance data, we should formulate special gray balance curve, in replace any printing paper or ink.
But application for efficiency, usually on the performance of close paper or ink to use the same gray balance data [4-6].
According to the gray balance patches density data of three kinds of paper, draw the gray balance curves.

Little data exists in the literature, however, to link the effect of incomplete recrystallization on the mechanical response of ferritic stainless steels.
Despite the level of simplification used in developing Eq. 4, it describes the experimental data very well.
Filled symbols represent experimental data while hollow symbols represent the results of relaxed constraints Taylor calculations assuming {110}<111> and {112}<111> slip systems.
The agreement with the experimental data is good considering the level of simplicity associated with the argument made here.
Data taken for samples tested parallel to the rolling direction.

The limited number of records for the soils class D and E classes in the data-base leads to non-consideration of this soils for here.
Table 1 Record data returned by REXEL for soil A.
The preliminary step to use the ANN is the training or the calculate of the synaptic weights and bias in an iterative way pending produces data compatible outputs.
The entire set of data (i.e., data used for learning, validation and testing) has been passed through the network to perform a regression between the output network values Y and the corresponding target A.
Jr , Damping in Building Structures during Earthquakes: Test Data and Modeling, Univ. of California, Davis, CA, 1982.

The device sequentially processes data of DTA and IDS samples, controlling the temperature of the substance coherent combination at the time of formation in the boundaries of structural and cluster units.
The thickness reduction to the nanoscale level recorded by the device.
Data preparation of discrete isothermal heating unlike thermoanalytical continuous heating is experimental support in the form of graphical charts.
Thermal and temperature effects are complementary, representing discrete data in continuous grid temperatures, making the value of each reference.
The database should be filled, receiving the scanning data on substances not previously studied in this way.

Meanwhile, microcontroller interfaces with Bluetooth module to implement data transmission.
Bluetooth is a wireless technology standard for exchanging data over short distances from fixed and mobile devices.
Since it widely exists in personal computer or smart phone, we can use it as wireless data transmission solution to make our device portable without data cable connection.
RF power consumption largely depends on the data rate which correlates with the sample rate and the resolution.
ECG was plotted with raw data, and result showed the signal was very clean.