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Aiming at the problem that the traditional M-S propagation loss estimation model is insensitive to the loss of submarine and sea surface propagation, this paper presents a method to improve the sensitivity and accuracy of the submarine absorption parameters. According to the near-field anomaly of M-S, the upper and lower limit of geometric propagation is different. This paper gives a new extended...
Recursive neural network models have achieved promising results in many natural language processing tasks. The main difference among these models lies in the composition function, i.e., how to obtain the vector representation for a phrase or sentence using the representations of words it contains. This paper introduces a novel Adaptive Multi-Compositionality (AdaMC) layer to recursive neural network...
In the process of aircraft development, we need to verify the Electrical Management System (UMS) on condition monitoring and control functions of each subsystem digitization, as well as the system management automation. For the subsystem power subsystem requires UMS achieve its AC and DC power supply subsystem bus bar, ground power, battery, rectifier unit and emergency DC generators and other equipment...
Software-as-a-Service (SaaS) is a new service delivery model which allows customers to use the provider's applications running on a cloud infrastructure, SaaS is commonly utilized and it provides benefits to service providers and customers. As more and more SaaS service emerges, how to select qualified provider is a key problem to customers. Current quality model do not consider key features of SaaS...
Due to the “premature” phenomenon and poor local search ability of genetic algorithm, an improved genetic algorithm, adaptive and parallel simulated annealing genetic algorithm based on cloud model (PCASAGA), is proposed in this paper. This algorithm integrates cloud model, multi-populations optimization mechanism, parallel techniques, simulated annealing algorithm and adaptive mechanism. It applies...
Lift operation is one of critical functions for mobile service robot to move across levels in buildings. Lift operation poses the problem of lift-button detection and recognition for computer vision. This paper presents a framework for vision-based lift-button detection and recognition. This problem is challenging due to reflection and complex background. To achieve the robustness in lift operation,...
In Monte Carlo simulations, the more particles you trace, the more accurate results you get. While recent improvements in hardware and software have feasible on personal computers, it can still take hours, even days to achieve a statistically meaningful result. Geant4 is a kind of Monte Carlo simulation tool solving the problem in nuclear physics. It can be used to accurately simulate the passage...
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