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Especially reduction of concrete is becoming a very hot topic around the word because it can lead to the reduction of environmental impacts especially the consumption of primary energy, primary non-renewable materials and CO2 production.
Introduction One of the basic sustainability targets in the word is reduction of non-renewable raw material consumption.
Reduction of concrete has usually problem with the cover layer that protects the steel reinforcement against corrosion.
This paper presents mechanical and economical aspects that have been calculated using data from the current price of used materials and from the experiments.
Using of TRC for example for the facade panels and other thin elements can lead to the reduction of concrete then to the reduction of environmental impact in building constructions in accordance with the concepts of global sustainability.

The experimental data have revealed a high sensitivity to change of Ra with feed, whereas this sensitivity is lower with cutting speed.
In this case, reductions of 10% or so are shown.
This reduction is more noticeable for low f values.
Finally, the experimental data above allow to suggest that it is possible to look for a parametric model that relates Ra with L and the applied cutting parameters (v, f) [16].
Thus, their values can be calculated through a multi-linear regression of experimental data, obtaining a model as follows: (2) The values obtained for the exponents are in agreement with above.

The article presents experimentally obtained data on sea water and oil permeation into special clothing materials.
Table 1 contains systematized data on increase in volume of fibers of different nature upon contact with liquid [11].
Experimental Procedure The analysis of data presented in Table 1 proves that medium change of humidified volume of fibers relative to other options is typical for cotton and linen.
The obtained data gives reasons to expect a moderate level of special fabrics saturation with aggressive liquids from the side of longitudinal surface of fibers covered with penetrating preservatives.
Therefore, it is insufficient to predict oil permeation into textile materials proceeding from the data on interface with plain water and sea water.

In order to have enough data for evaluation, three replication of experiment is applied.
An analysis of variance in MINITAB is employed to analyze the data.
Thus, the quality of the data is good and adequate.
The analysis of variance technique is then used to analyze the data and the result is summarized in Table 3.
Forty-eight sets of the experiment are conducted and obtained data is analyzed by analysis of variance technique.

These may include, firstly, producing more detailed capacity planning, shop floor control and automated data collection (one of the key assumptions for the proper operation of this method and the corporate information system as a whole).
Therefore, further development of the ERP is directed to the top management in the form of management information systems, data stores, etc.
Thanks to these methods known from earlier periods and new information technology solutions which also give support such as electronic data interchange EDI, Czech firms may also act as a series of globally operating companies in the market organizations [6].
The emphasis in the development of EIS is not only in the appropriate functional and common data, but also in the focus of development which is to monitor and control the flow of documents based on critical business processes.
A significant increase in applications of EDI (Electronic Data Interchange) occurred in the Czech Republic in 2013.

The data was obtained in the city of Tehran, since Iran was used in this study.
In the World Bank Data the value of load factor is 70%, headway of buses is around 1-12 minutes and average operating speed is around 15-25 km/h for bus standard operation inter-city [8].
In Table 1 and Table 2 the average values of load factor for the first scenario and second scenario are reductions of around 64% and 66%, respectively.
Also, the average values of dwell time for the first scenario and second scenario are reductions of around 58% and 54%, respectively.
Acknowledgements We thank the Fara Tarabar Mahdi bus company for providing the test data.

A large amount of historical data under the corresponding measurement conditions is required for network training before the data correction.
The data correction process is illustrated in Figure 1.
During the data correction conducted at the monitoring station unit, whether or not the data are properly prepared should be judged first because the stable system is a prerequisite for data correction.
The monitoring data sets include flow velocity of cross-section perpendicular at different points, totaling five data by one propeller flow velocity meter sensor.
The neutral network data correction process Figure 2.

The catalyst was characterized by H2-temperature-programmed reduction (H2-TPR) and X-ray photoelectron spectroscopy (XPS).
The data of T50, T90 and ΔT (T90-T50) obtained from Fig. 1 are listed in Table 1.
Temperature-programmed reduction technique is used to study the reducibility of catalysts.
It implies that the presence of BaO promotes the reduction of PdO and surface oxygen of CeO2.
Combined with the result of catalytic activity, we find that a lower reduction temperature for PdO can result in higher catalyst activity.

Fig.1 Temperature curves of calcines with different Fig.2 TG-DSC curves of laterite ore feed carbon content during microwave heating In fig.2, the data of TG-DSC are showed.
The data in table 2 illustrate that the degree of reduction increases with the rising of heating power.
Carbothermic reduction by microwave heating [J].
Microwave reduction of nickeliferous silicate laterite ores [C].
Microwave application in carbothermic reduction of iron ores [J].

All these measured parameters are recorded at 5-minute intervals using a CR5000 type data acquisition system (Campbell Scientific France).
Figure 4 shows the solar irradiation data at the greenhouse.
Volume reduction of the three sludge samples in winter (a) and summer (b).
The data in Figure 8 shows a significant reduction in the volume of sludge samples due to water evaporation during greenhouse treatment in both the winter and summer seasons.
In winter, the dried sludge samples showed a volume reduction of at least 55%.