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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)
This paper proposes a neural-fuzzy controller (referred to as NFLC) tuned automatically by genetic algorithms (GA). A real-code method is used to encode the GA chromosome, which consists of the width and center of the membership functions, and the rule sets of the controller. Dynamic crossover and mutation probabilistic rates are applied for faster(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)
In wireless networks, transmission power control (TPC) can save energy and decrease transmission latency. Due to the characteristics of wireless sensor networks (WSNs), the TPC has to be distributed, which presents a significant design challenge. We propose a simple distributed approach to TPC in this paper, and evaluate its performance.
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)
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)
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)