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Designing a visual monitoring system to detect fire flame is a complex task because a large amount of video data must be transmitted and processed in real time.
This real-time fire monitoring system uses the motion history detection algorithm to register the possible fire position in transmitted video data and then analyze the spectral, spatial and temporal characteristics of the fire regions in the image sequences.
This tends to result in a large reduction in the computational costs.

Adsorption model of Langmuir and Freundlich from empirical data is used for this experiment.
The experimental data fulfilled pseudo second-order kinetic models.
The increase in pH, means increasing the concentration of OH-, cause a reduction in the positive charge SMZA surface so that interaction adsorbent with the anion dye CR decreases and the amount of adsorption decreases Effect of contact time on the adsorption CR.

Based on the experimental data, the relationship between the number of layers and the properties of materials was studied.
The research shows that after reasonable structure design and advanced manufacturing technology, the weight loss of ordinary steel body can reach 7%.The body is made of high strength steel, aluminum alloy and carbon fiber composite material, which can achieve weight reduction effect of 15% - 30% on the basis of ensuring the performance of the vehicle.
In the finite element analysis of composite laminates, progressive damage model can better simulate the brittle fracture process of carbon fiber reinforced resin matrix composite laminates, the force-displacement curve characteristics obtained from reduction experiments and the key parameters of the curve.

The calculated EPR parameters based on the above defect structures show reasonable agreement with the experimental data.
From the cluster approach containing the ligand s-orbital contributions, the spin-orbit coupling oefficients ζ, ζ' and the orbital reduction factors k and k' can be written as ζ = Nt (ζd 0 + λt 2 ζ p0 /2) , ζ' = (Nt Ne) 1/2 (ζd 0 − λtλeζ p 0 /2) , k = Nt (1 + λt 2 / 2 ) , k' = (Nt Ne) 1/2 [1− λt (λe+ λs A)/2] , (4) where ζd0 and ζp 0 are the spin-orbit coupling coefficients of the free 3d 8 and the ligand ions, respectively.
The reference distances, the group overlap integrals, the cubic field parameter Dq (in cm −1) and the average covalency factor N, the molecular orbital coefficients Nγ and λγ (and λs), the spin-orbit coupling coefficients (in cm−1) and the orbital reduction factors for AgX:Ni2+.

By fine earth freeze-thaw simulated experiment and cut experiment in the room, this paper studied the sheer strength characteristic parameter before and after the freezing-thaw cycling, and got the change discipline of the internal cohesive force c, internal friction angle Ф in the different temperature range and the number of the freezing-thaw cycling, deduced the calculation formula of c, Ф and T(soil nail counteract evulsion force) according to the experiment data, and compared the effect of the firmness.
According to the test results, and different temperature freeze-thaw cycle become poor range of cold end negative temperature (5 °,-15 °, 25 °) cases, analysis of fine grained shear strength parameters stick together and internal friction Angle Ф force c value change, the test results show that: the soil stick together and internal friction Angle force c Ф value is with the reduction of the cold end temperature increase.
Produced this change because sample in the freeze-thaw cycle process, with the cold end negative temperature is lower, not frozen water containing rate decreases, and relative including ice rate increase, that have more ice crystals will soil particle cementing together, make the soil shear strength of the cold end with the reduction of negative temperature increased.

Currently PCA is an effective method to simplify the data structures and reduce the data dimension.
Step 2: Calculate the correlation coefficient matrix of impact factors by using the standardized data: (2) Where is the input standardized data after normalized.
The Prediction Result and Analysis of Fuzzy BP Network The first 200 groups of the observation data are regarded as the training data, and the next 100 groups are regarded as the testing data.
The test data can be used to verify the predicting result.
It can better predict the possible result of output according to the new data of input variables.

The experiment data and results showed the prepared TiO2 samples were anatase TiO2 and they had very good photo-catalytic activity on the water samplings.
They also include chemical methods such as precipitation method, hydrolysis method, spraying method, oxidation-reduction method, laser synthesis, hydro-thermal method, sol-gal method, precipitaton solution gel method, electro-spark method and so on [1,8,11-13].

Parameters in the curve equations can be calculated by investigating former risk data and known conditions.
From the analysis above, we conclude that risk analysis can’t be treated by simple dimension reduction and it should be considered as multidimensional variable.

In this investigation, a method based on the Nearest-Neighbor-Distance (NND for short) cluster analysis of image analysis data was used for distinguishing the gas and shrinkage pores in A357 alloy, in order to study the effects of SDAS on the microporosity formation.
Introduction There is a great deal of interest in controlling microporosity during solidification process due to reduction in defects [1-6].

According to data from manufacturer, the unreasonable arrangement of thermo-couples may be the root cause of this leakage.It can be considered that replace the higher grade materials conservatively, while optimizing the arrangement of thermo-couples.
Therefore, due to short-term high temperature overheating, the reduction of sample mechanical properties is the main reason for its cracking.