Search results

The simulation data show that the Multi-objective optimum method can get more effective results compared to the weight coefficient method.
However, SVM training is time consuming when analyzes huge data.
Fig.2 LSSVM characteristic models of demister Multi-objective optimization model of the demister Multi-objective optimization means to search the best design data within the range of design variables under all constraint conditions.
However, there is no exist of the best design data which can make all the targets reach optimal values at the same time, as these targets are always in conflict situations.
As a result, the best design data which can make all the targets reach optimal values at the same time don’t exist in Multi-objective optimal model of demister.

Image classification of remote sensing data is an important topic and long-term tasks in applications [1].
When it is 0.5, the classification accuracy reaches maximum with the best classification result for study area of Dali Erhai Lake basin using landsat TM data. (2) Bayesian MRF model have obvious advantages in classification for neighbourhood pixels so that it can separate Shadow class from Water class because the Shadow in mountain areas is very similar to Water in spectrum.
Thirdly, we apply Bayesian MRF model for classification in about 80 square kilometers area including Xiaguan town and part of Dali Erhai Lake in Yunnan province, South West of China using Landsat TM data, which is performed by ten different clique potential parameters from -0.5 to 5.
Bigger parameters show reductions of details in classification results, see Fig.2 (a) (b) and (c).
When it is 0.5, the classification accuracy reaches maximum with the best classification results for about 80 km2 study area in Dali Erhai Lake basin using landsat TM data. (2) Bayesian MRF model have more advantages in the classification for neighbourhood pixels so that it can separate shadow class from water class when the Shadow in forest land is very similar to Water in spectrum.

Measurements of instantaneous speed, acceleration, deceleration and route tracking data were undertaken to develop the investigation.
Analysing statistics of data received from the police the positive influence of changes in road infrastructure on driver’s behaviour and number of road incidents is visible.
These unexpected data gained for roundabouts pushed to carry out further investigations of drivers’ behaviour within an intersection environment in terms of speed in approaching sections.
The data were collected by utilizing GPS data logger which allowed to monitor and record second-by-second in-field vehicle position and speed along the tested sections.
Some data was removed unwitting speed reduction due to the presence of other road users.

At first steady state thermo-mechanical fatigue failure behavior was investigated using the round-bar TBC specimens, after getting basic data of mechanical properties of the bond/top coats and the substrate alloy.
The non-steady state TMF cycling promoted the delamination of ceramic top coat, resulting in a significant reduction in fatigue life.
In this paper, steady state thermo-mechanical fatigue failure behavior was investigated using the round-bar TBC specimens, after getting basic data of mechanical properties of the bond/top coats and the substrate alloy.
These data imply that the application of coating to the superalloy substrate was helpful in improving the LCF life via protection from environment attack to substrate.
At first steady state thermo-mechanical fatigue failure behavior was investigated using the round-bar TBC specimens, after getting basic data of mechanical properties of the bond/top coats and the substrate alloy.

In general, data exchanged on an industrial network can be classified into two groups: realtime and non-realtime data.
Non-real-time data do not have stringent time limits on their communication delays experienced during the data exchange.
In general, data exchanged on an industrial network can be classified into two groups: real-time and non-real-time data.
This real-time data can be further divided into periodic and asynchronous data, depending on the periodic nature of the data generation.
For example, the data for program download belong to non-real-time data, while digital control command and alarm signal are periodic and asynchronous real-time data, respectively.

The simulation results were validated with measured data of air temperature regimes and different solar radiation in an existing ventilated double-skin façade.
Methodology A detailed window model has been incorporated into the TYPE 56 component using output data from the WINDOW 4.1 program, developed by Lawrence Berkeley Laboratory, USA [1].
Together with the thermal properties of the gas fillings and the conductivity and emissivity of the glazings, the optical data for the window is written to an ASCII file.
Using this interpolated data, the transmission of solar radiation and the total absorption of shortwave radiation for each window pane is calculated.
The simulation results were validated with measured data of air temperature regimes and different solar radiation in an existing ventilated double-skin façade.

Based on the test data, the changes of above basic properties of SFRC are analyzed in view of the effects of the fraction of steel fiber by volume and the thickness of cement paste wrapping steel fibers.
Unfortunately, the design of mix proportion of concrete still relies on the empirical and test data.
The comparisons of test and calculation data are shown in Fig. 7.
Table 5 Statistical results of coefficients αt αtm CF40 CF50 CF60 CF40 CF50 CF60 0.364 0.434 0.366 0.398 0.265 0.215 Fig. 7 Statistical analyses of test data Conclusions The steel fiber reinforced concrete (SFRC) was designed by the binary superposition mix proportion method with three different strength grades, which considered the key parameters such as the fraction of steel fiber by volume, the thickness of cement paste wrapping steel fibers.
Based on the statistical analyses of test data, the effect coefficients of steel fiber on tensile and flexural-tensile strengths of SFRC in the formulas specified in current specification for steel fiber reinforced concrete structures were given out.

Based on the experiences of technical experts and operation data analysis, an expert rules system with wide coverage range was developed, which composed of the logical relationships between the coal feed flow rate, bed temperature and the primary air flow rate in various operation conditions.
The core of reference governor is an expert system based on the operators’ experiences and the real data analysis.
Control System of Primary Air 2.1 Expert System The expert system is the main framework of reference governor and consists of data acquisition and quantization part, knowledge base part and inference engine part.
ForΔFC, “+”means increase, “-”means reduction.
Knowledge base part: it stores the special knowledge which comes from the operator’s experience and real data analysis to regulate the instruction of primary air fan.

Experimental data show that after quenching in a magnetic field, a decrease in the volumetric strain of the transformation, an increase in the dispersity of packets of martensitic crystals and components of the packets are observed.
Introduction The data of [1-6] show that when exposed to a constant magnetic field during steel quenching, the rate of martensitic transformation (especially in the early stages of the reaction) increases up to 1.5 times.
Martensite relief and the corresponding interference pattern, ´500: a - quenching without a field; b - quenching in a magnetic field of 1.6 MA/m The polygons of the distribution of the value of constructed from the data of 250 measurements are shown in Fig. 4.
Here there is a good correlation with the data on the specific surface (Table 1).
Conclusions Thus, the experimental data show that after quenching in a magnetic field, a decrease in the volume strain of the transformation, an increase in the dispersity of the packets of martensitic crystals and the components of the battens, is observed.

Finally, scenario reduction techniques can be employed to reduce the number of scenarios, to eliminate a scenario with very low probability and scenarios that are very similar [4].
Thermal power unit parameters are shown in[6], the wind and load forecast data is shown in figure 3 and figure 4 respectively.
Fig.3 Wind power forecast data Fig.4 Load forecast data In order to verify the effectiveness and superiority of the proposed MOIPSO algorithm for the EED problem, it is applied on the 6-unit system.
Michalewicz.Genetic Algorithm + Data Structure = Evalution Program,Comput.New York: Springer-Verlag,1996