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A detailed description of the simulation can be found in [15] Figure 3 Physical representations of the robot concepts As representatives for serial robots, a KUKA KR 6 R and a KUKA KR 16 have been chosen due to the wide usage of these systems in the industry and a good availability of necessary technical data.
All simulation data can be found in the appendix of this paper.
To allow for a fair comparison, the driver efficiency has been assumed to be similar for all robot systems and was based on manufacturer data from the motor supplier of the PARAGRIP system.
Based on average German energy prices for industrial consumers in 2015, the achievable reduction would lead to savings between 210 € and 430 € per 10.000 hours of service.
Even if this reduction seems to be rather small for each single IR, their massive appearance in the industrial context bears large opportunities for a rise in eco-efficiency.

Vibration displacement data and vibration frequencies were obtained.
Through the modal test, the amplitude-frequency data was obtained.
Acceleration transducers absorbed on the headstock are connected to the data acquisition board by data lines.
The amplitude-frequency data graph is shown as Fig.8.
Amplitude-frequency data graph Fig.9.

Literature data on global dynamics of total number of commissioned proton and heavy ion therapy devices in 2005–2028 (data with asterisks were obtained taking into account facilities under construction or in planning stage).
Composition data are listed in Table 3.
Experimental data on selectivity of combinations for various contents of CuO.
Experimental data on selectivity index RT CnO of 25 anticancer combinations with various content of CuO nanoparticles.
Experimental data on selectivity of combinations for various contents of ZnO.

To enlarge the strength of the propelling energy reduction, the Ministry of treasury and the Ministry of Housing and Urban Construction released a public building energy-saving objectives, and that is to pull off the decline of unit area of public building energy consumption in 10%, and energy consumption of large public building reduction in 15%, which manifests our determination of the government further strengthened to control public buildings energy consumption.
The data collected will be used to mean matter-element R
The data indicates that all targets are in line with the degree of evaluation rating.

The EPS system consists of an AC motor, a reduction gear and an electronic control unit.
The EPS ECU determines the assistant torque necessary at the column using the measured sensor data and moreover, the function of the EPS is required to perform safely [2].
The EPS is designed based on a BLDC motor with a reduction gear to reduce the effort of the driver by providing an assistant steering torque.
These measured data are sent to the EPS ECU so that the ECU may calculate the amount of assistant torque based on the map of the assistant torque to the column torque according to vehicle speeds.

Several processes exist for the production of high-purity silicon, such as the Siemens process, metallurgical process, silane process, zinc reduction process, and carbothermal reduction of silicon dioxide process.
SiCl4(g) + H2(g) = SiHCl3(g) + HCl(g) (main reaction) (1) SiCl4(g) + H2(g) = SiCl2(g) + 2HCl(g) (2) 2SiHCl3(g) = SiCl4(g) + SiH2Cl2(g) (3) SiH2Cl2(g) + H2(g)= SiH3Cl(g) + HCl(g) (4) SiHCl3(g) = SiCl2(g) + HCl(g) (5) Based on the thermodynamic data for the related pure substances reported by Kee at al. [7], the Gibbs energy change of the reactions can be calculated.
Since the temperature in the actual production is about 1400K, the productivity ratio of DCS at 1400K is very important since it can provide effective data for the production.

It is mostly important as a food crop for small growers in areas where low rainfall and poor soils constrain production of other crops [1]. ononychellus mcgregori causes abnormal tree growth, redueed yield and in Africa causing up to 40-60% reduction in cassava yield [2].
The database for M. mcgregori was compiled in two steps, first by gathering information from records of the presence of the species in China from our field studies, electronic sources, and published scientific literature; and then by organizing, refined (reduction of redundant information), and standardizing the information (Morris 2005).
Environmental data.
All the spatial data was handled in ArcGIS version 9.3 (ESRI) with the spatial analyst extension.

The matrix transforms a map represented in the map space , into a map described in the map data-space .
Mobile Robot Decisions Making There two sets of data.
The data sets consisted of four input variables and four input variables: Table 1.
There are two sets of data.
The data sets consisted of four input variables and four output variables.

This paper argues that the key to LED industry develop in Jiangsu Province is establish a relatively sound government guidance mechanism, and put forward the system strategies from the angle of government subsidies, technological innovation, financial supporting, human resources training and international exchange, so that can promote LED industry development in Jiangsu Province, seize the top technology in domestic and international, foster the new economy growth in Jiangsu Province from long-term, achieve emission reduction target, and realize sustainable economy and society development in Jiangsu Province.
We can find in the data that lighting energy consumption has become an important component of national energy consumption.
(3) Industrial Chain Developed in Depth The proportion of LED used in commercial space has increased because of China increasingly stringent emission reduction requirements.
The resource sharing platform should integrate the LED standards, technical data, information, equipment, books and documents and other elements with external technical resources and form interconnection relying on businesses, universities, research institutions, libraries in the form of information networks.

All the data of the soil ABS, sand, and the MIX (1:3 soil-to-sand ratio) are summarized in Tab. 1 and Fig. 1.
Tab. 1 Materials data sheet, where MIX is composed by 1:3 soil-sand ratio.
The results are presented in the γd -w plane and all the mixtures exhibit a typical trend of the experimental data allowing to identify the optimum water content (OWC).
Conversely, no specific data has been found for γs_citrus.
However, a deeper insight into experimental data may lead to some preliminary hypotheses about the relevant effects on the mechanical behavior of addition.