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Energy saving is the most critical problem in sensor networks and dominates the design objectives. Due to the unique characteristics of sensor networks, to design energy-efficient modulation schemes, both the energy transmitted through radio channels, and the energy spent in the circuitry and MAC protocols, should be considered. In light of this(More)
Aiming at the character that the hidden layer wavelet function of wavelet neural network can adjust scale factor and shift factor to affect the outputs of neural network, the least disturbance algorithm adding scale factor and shift factor was proposed. The dynamic learning ratio can be calculated to minimize the scale factor and shift factor of wavelet(More)
A novel and integrated biofilm process--the sulfate reduction (SR) and mixotrophic (MR) sulfide-utilization denitrification process (SMSD)--was recently proposed for sulfate treatment and sulfur recovery. The process consisted of two bioreactors: a 5.1 L anaerobic upflow reactor for SR, and a 3.5 L anaerobic upflow reactor for MR(More)
The present oil spill models are usually based on sea surface, while few of them are for submarine oil spill. Therefore, modeling and simulation for submarine pipeline oil spill is discussed by FLUENT in this paper to forecast the trajectory of oil. The coupling of pressure and velocity under unsteady-state condition is solved by pressure implicit with(More)
In order to explore the motion law of oil spill to conduct cleaning, simulation for submarine oil spill based on wave motion is carried out by user defined function and volume of fluid in FLUENT, and the dispersion and diffusion of oil spill in deep sea is simulated dynamically. Also the oil spill processes with different wavelength and current velocity are(More)
Due to the fact that wireless sensor nodes are spatially distributed throughout the area of interest, event detection must be implemented in a distributed way. Unlike related distributed detection schemes, our proposed approach does not need a pre-designated fusion node. This greatly improves network scalability. In this paper, we provide closed-form(More)
In order to obtain a precise mathematical model of an autonomous underwater vehicle (AUV), model identification based on maximum likelihood relaxation algorithm is proposed in this paper. With experiment data of zigzag motion, the hydrodynamic derivatives of the AUV are estimated, and ideal convergence of maximum likelihood relaxation algorithm can be(More)
Because of small volume of the mini autonomous underwater vehicle, the ability to resist the wave and the current disturbance is not ideal enough. The present motion models ignore the effect of the external disturbance, and even ignore the fin effective angle of attack. In this paper, we establish a dynamic motion model of the mini autonomous underwater(More)
As the oil spill models are usually based on the sea surface and few researches are for submarine oil spill nowadays, the simulation for submarine pipeline oil spill is discussed by FLUENT to forecast the trajectory of oil. The coupling of pressure and velocity under unsteady-state condition is solved by pressure implicit with splitting of operator's(More)