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The universal control computes an inverse kinematic based on application based data, executes an efficient path-planning and collision detection.
The control plans the movements of the robot and gripper, analyzes the data and runs algorithms e.g. for the best palletization of goods.
The surrounding data are collected with a SICK IVP Ranger M50 [12].
From these data an inverse kinematic is computed.
In addition, acquired 3D sensor data of the environment are delivered as basis for the path planning and collision detection.

A classifier is built from training data, for which classifications are known.
The classifier assigns new test data to one of the categorical levels of the response.
This exploratory data analysis technique attempts to identify structure within the data.If there are distinct data groupings, e.g. the clases examined on the compressor rig, then a Fourier profile plot may highlight differences and so assist in distinguishing between groups (classes).
Conclusions Investigation of variable interdependencies though data clustering techniques provides a robust method for exploratory variable analysis and so facilitates reduction in the number used in establishing classifiers.
Dunn'Applied Multivariate Data Analysis’, 2nd Edition.

Different factors that affect the reduction of the laterite ores are tested and analyzed by Differential Scanning Calorimeter(DSC), X-ray Diffraction(XRD), Brunauer Emmett Teller (BET) and Scanning Electron Microscope(SEM).
Their weight reduction rates are calculated respectively.
Related thermodynamic data are shown in Tab. 2
(2) (3) (4) (5) Tab. 2 Thermodynamic Data of Reactants Formula a (cal/mol/K) b c d Temperature /K (kcal/mol) (cal/mol/K) H2O(g) 6.790 2.982 0.307 0.086 298-1100 -57.798 45.132 7.514 3.371 -5.964 -0.438 1100-2800 - - FeOOH 19.167 6.812 -3.020 0.000 298-1500 -133.843 14.436 Fe2O3 34.313 -8.681 -7.513 17.159 298-700 -196.702 20.889 152.440 -230.290 -106.927 134.071 700-950 - - -52471.880 69336.660 90566.060 -25616.900 950-1050 - - 19.172 13.378 40.006 -2.964 1050-1812 - - MgSiO3 22.000 7.900 -0.042 0.000 298-903 -370.100 16.220 28.760 0.000 0.000 0.000 903-1258

Particle size data can therefore be generated from an analysis of the fluctuations in scattered light intensity.
Figure 5: Mechanism of gold ions bio-reduction.
Table 1a: UV-Vis data obtained for AuNPs produced from fresh Nauclea latifolia leaves and gold chloride under neutral pH 2.
Table 1b: UV-Vis data obtained for nanoparticles produced from dry Nauclea latifolia leaves and gold chloride under neutral pH 3.
Table 1c: UV-Vis data obtained for nanoparticles produced from nauclea latifolia leaves under varying pH Table 1a: UV/Vis Data Obtained For AuNPs Produced from Fresh Nauclea latifolia Leaves and Gold Chloride under Neutral pH.

During the forming process, data regarding strokes and forces are detected by distance and force measurement sensors for each axis.
The geometry of the rolls as well as their rolling direction and path and the pass reduction are shown in Table 1.
The pass reduction Δt is defined as the sheet thickness reduction in the rolling zone.
Considering the machine deflection, the real pass reduction is lower than the ideal one set by the process parameters.
The pass reduction in stroke 1 is ∆{TTP}8710 t = 0.70 mm, the highest one possible without surface fracture.

The lighting audit for the faculty buildings consists of a walk-through audit, lighting desktop work, field data measurement, and lighting analysis.
Lighting data measurement in an active area during operating hours and ensure space is occupied.
Tables 1-3 consist of lighting data and operational information gathered for all three levels.
It hinders the reduction of light usage.
Review of data-driven energy modelling techniques for building retrofit.

Energy Consumption Parameter of Standard Model Building Weather data must first be defined in evaluating analysis of building’ss energy consumption.
The weather data of this research is based on typical meteorological year (TMY2) with 8760 hourly records in Taiwan.
Opening Reduction and Sunshade Design 2-1-2.
Consumption Parameter of Energy-Saving Air Conditioning Reduction Design High air conditioning consumption is the primary cause of energy consumption.
Consumption Parameter of Energy-Saving Lighting Reduction and Ambiance Control Design Lighting design is one aspect often been neglected.

Their data support the hypothesis that macrophage cells and their RCS affect alloy corrosion and that changes in alloy corrosion by cells may be important in the development of host responses to the alloy and its corrosion products.
This half-reaction has a lower potential (E = 0.359 V) than the reduction half-reaction in Eq. 2 (E = 0.76 V), indicating that oxygen (the oxidant) can theoretically oxidize solid Cr +3 (the reductant) via this mechanism.
Detoxification by relatively rapid reduction of Cr +6 to the trivalent state in most biological systems and conditions is believed to be the primary reason why Cr +6 does not pose a cancer hazard outside of the lung [33, 34].
This study [35] reported the reduction capacity of RBC is not overwhelmed at concentrations up to 15 ppm, and plasma reduction capacity ranges from 2 to 10 ppm.
Most data regarding the valence state of Cr released as a result of corrosion and wear of metallic implants alloyed with Cr is indirect (cell binding suggestive of Cr +6 release).

All examinations were conducted repeatedly to assure the reproducibility of the data.
The reduction of surface area between as received and pelletized samples achieves 68.5 %.
It is about 61% reduction of pore volume.
This microstructure support and confirm the previous data of the pore characteristics.
The percentage of reduction hydrogen adsorption capacity of pelletized sample is still very lower compared with the reduction of surface area and pore volume, which is 68.5% and 61%, respectively.

The obtained results of the model are in a very good agreement with the experimental data.
In the third part, analytical solution for applied pressure is determined by using presented friction model and is compared with available experimental data.
In addition, parameter as the friction coefficient is defined and determined by very noisy experimental data.
A Comparison between the results of the present model and the experimental data [2] for the same conditions is shown in Fig. 4.
Also, the presented model is more general, needs less experimental data and its results in comparison with experimental results shows good agreement.