In order to study the damage characteristics of typical armored vehicle track under shock wave load, the finite element software LS-DYNA was used to simulate the process of shock wave damage to typical armored vehicle...
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Mars exploration has become a hot spot in recent years and is still advancing rapidly. However, Mars has massive dust storms that may cover many areas of the planet and last for weeks or even months. The local/global ...
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Mars exploration has become a hot spot in recent years and is still advancing rapidly. However, Mars has massive dust storms that may cover many areas of the planet and last for weeks or even months. The local/global dust storms are so influential that they can significantly reduce visibility, and thereby the images captured by the cameras on the Mars rover are degraded severely. This work presents an unsupervised Martian dust storm removal network via disentangled representation learning(DRL). The core idea of the DRL framework is to use the content encoder and dust storm encoder to disentangle the degraded images into content features(on domain-invariant space) and dust storm features(on domain-specific space). The dust storm features carry the full dust storm-relevant prior knowledge from the dust storm images. The “cleaned” content features can be effectively decoded to generate more natural, faithful, clear *** primary advantages of this framework are twofold. First, it is among the first to perform unsupervised training in Martian dust storm removal with a single image, avoiding the synthetic data requirements. Second, the model can implicitly learn the dust storm-relevant prior knowledge from the real-world dust storm data sets, avoiding the design of the complicated handcrafted priors. Extensive experiments demonstrate the DRL framework’s effectiveness and show the promising performance of our network for Martian dust storm removal.
The pipeline network interfered by the stray currents has been verified to be a complex nonlinear dynamical *** paper shows that the chaotic characteristic could be utilized in the stray currents *** prove this,this p...
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ISBN:
(纸本)9781538629185
The pipeline network interfered by the stray currents has been verified to be a complex nonlinear dynamical *** paper shows that the chaotic characteristic could be utilized in the stray currents *** prove this,this paper establishes an equivalent chaotic control *** we analyze this model by using Melnikov method and find out the condition under which the chaotic phenomenon will be *** order to get a sufficient proof for identifying the conclusion,simulation experiments are used to verify the validity of the control method.
Particle swarm optimization (PSO) is a new stochastic population-based search methodology by simulating the animal social behaviors such as birds flocking and fish *** improvements have been proposed within the framew...
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Particle swarm optimization (PSO) is a new stochastic population-based search methodology by simulating the animal social behaviors such as birds flocking and fish *** improvements have been proposed within the framework of this biological assumption. However,in this paper,the search pattern of PSO is used to model the branch growth process of natural *** provides a different poten- tial manner from artificial *** illustrate the effectiveness of this new model,apical dominance phenomenon is introduced to construct a ncvel variant by emphasizing the influence of the *** this improvement,the population is divided into three different kinds of buds associated with their ***,a mutation strategy is applied to enhance the ability escaping from a local ***- ulation results demonstrate good performance of the new method when solving high-dimensional multi-modal problems.
To describe the lateral jet force model accurately, an identification method based on FCM-SVM is provided. The experimental data is clustered with this method to gain the best partition and separating hyperplanes. Dif...
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Precise lateral jet interaction models are required for missiles' blending control strategies. Because of the complicated flow field, the interaction models are multivariable, complex and coupled. Traditional aero...
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Focused on scale problems, this study demonstrated the importance of scale system selection, and necessity of scale system evaluation. The mutually exclusivity of complete consistency under different scale systems has...
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ISBN:
(纸本)9781618040169
Focused on scale problems, this study demonstrated the importance of scale system selection, and necessity of scale system evaluation. The mutually exclusivity of complete consistency under different scale systems has been proved using mathematical contradiction method, and conclusions with practical significances has been obtained through experimental method in this study that the exponential scale is more reasonable than other scales in reciprocal scale system. Although there are some errors exist in the method used by this study, there are also certain practical significances for the analysis that how to increase the accuracy of AHP method.
There are many uncertainties in multiple-attribute decision making problems so that the reliability and correctness of decision making results depend on the scientifically and reasonably confirmation of attribute weig...
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ISBN:
(纸本)9781618040169
There are many uncertainties in multiple-attribute decision making problems so that the reliability and correctness of decision making results depend on the scientifically and reasonably confirmation of attribute weights. Combination assigning method based on optimal eigenvectors which uses multi-objective optimization to integrate subjective and objective weightings was presented in the study so that the limitations of both subjective assigning method and objective assigning method have been overcome. Furthermore, decision making model based on TOPSIS method was also established to obtain more reasonable and scientific method of weightings confirmation method for multi-attribute decision making problems.
For the purpose of achieving high-performance information sharing in the simulation grid, an information capability-based Three Phase High-performance Information Sharing Approach (TPHPISA for short) is advanced. The ...
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Under the guidance of the theories of Complex Adaptive System and Artificial Societies, modeling and simulation of international politics evolution in crisis was studied. The Model of International Politics Evolution ...
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