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Creating comfortable wind environment is an important method to achieve the energy saving and emission reduction in campus.
The reduction of greenhouse gases emission should not only rely on the government but need the integrated endeavor from different social levels, among which the campus are supposed to take more responsibility for energy saving and emission reduction.
The site plan directly guides the design of all buildings and engineering facilities in campus, and it is the practical sessions which presents the low-carbon construction as well as energy saving and emission reduction in campus [6].
The site plan contributes to creating comfortable wind environment, decreasing the tropical island effect in summer and increasing the heat preservation in winter, which can realize energy saving and emission reduction.
(In Chinese) [10] Meteorological Reference Room of Meteorological Information Center in China, College of Construction Technology and Science in Tsinghua University, Special Meteorological Data Set of Chinese Building Thermal Environment Analysis.

The corrosion mechanism of the phosphate detection using a cobalt metal may need frequent calibration procedures for accurate data acquisition for the long-term phosphate monitoring.
Their microscale working electrodes result in the final device being comparatively small and that enables the measurement of highly resolved spatial data.
Sensor currents (pA) were acquired and converted to voltages (mV) by a Microsensor Multimeter (Unisense A/S, Denmark) and the data were digitalized by an analogue-to-digital converter.
Then, these data were interpreted using a SensorTrace PRO 2.0 (Unisense A/S, Denmark).
The physical structure of biofilm surface (Fig. 13) showed heterogeneous characteristics of biofilm with average biofilm thickness of 1,300 µm and standard deviation 180 µm (81 data).

Then the indexer can create index of the collected information and store the data in the indexed database.
Word Processing and Filter Approaches: All the public opinion data collected is non-structured data and its contents belong to the category of natural language, which makes the computer hard to understand the semantic meaning.
Therefore the preprocessing step is quite necessary to transform the non-structured data into structured or semi-structured data.
Data Mining and Knowledge Discovery, 2007,7(4):373-397
Clustering Text Data Streams[J].

Introduction In the last decades the need of improving both processes and components has matched with the need of weight reduction.
Above discussed plastic and anisotropic data were used for modelling the mechanical behaviour of the investigated Ti alloy: in particular, the Hill 1948 yield criterion was adopted using Lankford’s parameters evaluated at the same value of the longitudinal strain (2.5%).
According to user input data (punch’s diameter, D, initial location of the tool, Z0, sheet thickness, T) target surface was created using an offset of the desired surface.
Fig. 6 Contour plot for STMmin Fig. 7 Contour plot for dW As expected (according to the sine law) large values of the Draw Angle determined the reduction of the sheet thickness, thus producing dangerous thinning.
Fig. 8 Geometrical features of the car door shell Results in Fig. 9, presented in terms of deformed shape and thickness distribution map (STH), highlight that the adoption of large values of D/p could determine an effective reduction of the “step effect” on the part.

The decrease is more pronounced for x = 0.3 (67% reduction between 0 and 9x10⁻⁴ V/cm) compared to x = 0.6 (45% reduction between 0 and 9x10⁻⁴ V/cm).
As with the hole, the decline is more pronounced for x = 0.3, with a reduction of 20% compared to 17% for x = 0.6.
As with the hole, the decline is more pronounced for x = 0.3, with a reduction of 20% compared to 17% for x = 0.6.
Also, the negative nonlinear term decreases in amplitude with an increasing intensity of the electric fields leading to a reduction of the total optical constants.
Data availability All data generated or analysed during this study are included in this published article Author Contribution Statement Rihab Sellami: Investigation, Writing- Original draft preparation, Visualization, Adnen Melliti: Conceptualization, Methodology, Validation, Supervision, Afef Ben Mansour, Mohamed Souhail Kehili: Investigation, References [1] R.

The correlations were then verified against the experimental result and it was found that he result showed a good agreement between expected result from the correlations and experimental data, ensuring that the correlation may be used for further application.
The application of ProMAX in this study is due to its function for updating data, to and from the Microsoft Excel spreadsheet for calculating the heat transfer coefficient conveniently.
The output data generated by ProMAX will be sent into Excel spreadsheet for calculating heat transfer coefficient accordingly.
It shows that the reduction of liquid film thickness leads to increment in heat transfer coefficient.
Experimental data and model for heat transfer, in liquid falling film flow on shell-side, for spiral-wound LNG heat exchanger, Int.

The data presented indicates that this parameter fluctuated around the value of 2.
Comparing the data obtained with the values of the excess air ratio (λ), it can be concluded that increasing the exhaust temperature decreases the coefficient λ; and, conversely, the exhaust gas temperature decrease is observed as an increase in the excess air ratio.
The presented data show that in the combustion of the same mass of fuel in similar conditions of the thermal process, the energy produced increases with a decrease in the share of biomass co-combusted with coal.
The presented data show that, in the initial stage of combustion in the furnace, the temperature rise caused a decrease in the concentration of CO of about 1600ppm for the glycerol fraction, and to about 800 ppm in the main, laminar combustion period for coal.
· Combustion control by varying the excess air ratio λ, especially in the initial period of rapid increases in temperature (combustion of fly particles evaporated), allows the reduction of the oxidation rate during this period and a reduction in NOx emissions in the main part of the laminar combustion.

The overaging phenomenon promotes a substantial reduction in strength [2].
Though considerable work has been carried out in the past in generating data on the mechanical properties of lower grades, only limited information is available in the open literature on the mechanical properties of 300 grade [6].
Data available on the mechanical properties of maraging steels at elevated temperature are very few and most of the studies on the low grades were confined to tensile properties or stress-rupture studies up to 540 ºC [1,7].
Specialized applications of the steel occasionally demand short-time exposures at unusually high temperatures and it is desirable to have data on the creep behavior of the material during such service conditions.
Creep data at 550 ºC of the maraging 300 steel.

The reduction reaction is characterized by a distinct peak at -0.4 V.
Figure 2 shows the etch rate data for Ge versus SiGe (100) in 0.1 M HCl/10 mM H2O2 solution.
The etched samples showed an overall reduction of Ge (sub)oxides.
These data provide a link between the silicon bulk concentration and the oxide solubility: at least 50% Si is needed to passivate the surface by the formation of typical Si-O-Si oxide bridges.
The presented data provide starting point for understanding the link between Si surface chemistry and the etching kinetics of SiGe.

Analysis of similarity of machine elements with the use of Artificial Neural Networks The application of methods of similarity analysis results on a reduction of the diversity of elements produced.
Those are consecutively arranged phases of representation of input data, randomly distributed according to the uniform distribution with the assumption of a rectangular grid.
The first box (image) presents the distribution of learning data, and the following ones the successive phases of network learning.
The final box presents the full representation of the form created by the input data.
The primary advantage of the network is that it can, in the learning process, identify connections within input data on the basis of recognition of features that are similar in model or master parts.