Real sense image generation algorithm is an important part of computer graphics, in which realistic terrain generation has become a difficulty and hot spot in recent years. Virtual three-dimensional terrain modeling u...
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Real sense image generation algorithm is an important part of computer graphics, in which realistic terrain generation has become a difficulty and hot spot in recent years. Virtual three-dimensional terrain modeling uses computer graphics technology to implement. In this paper, based on fractal Brownian motion theory, the classical Diamond-Square algorithm was advanced to form virtual three-dimensional terrain modeling. Terrain Splicing and Stitch Border techniques and terrain texture mapping, light mapping technique were used to deal with the terrain light and texture and stitch the border. The algorithm parameters were also analyzed in this paper and the influence effects of the various parameters on the virtual terrain features was got. With the combining use of Visual C++ 2005 and OpenGL, terrain generation and rendering are achieved. This approach has reached the expected results and a realistic three-dimensional graphics effect was obtained.
In this paper, the technology of ZigBee based on wireless sensor network was adopted to carry out the real-time oxyhemoglobin saturation monitoring. C8051F340 was used to control UZ2400 as MCU(Micro control Unit). Ele...
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In this paper, the technology of ZigBee based on wireless sensor network was adopted to carry out the real-time oxyhemoglobin saturation monitoring. C8051F340 was used to control UZ2400 as MCU(Micro control Unit). Electricity was consumed less than 2mA when it worked and electricity was consumed less than 1μA when it slept. This system can prolong the life time of battery effectively. And the system avoided tedious A/D conversion which the traditional sensor needs and its measure precision is good.
Fairness and system throughput, influenced by wireless interference, are major objectives of resource allocation in wireless networks. Whereas traditionally max-min fairness protocols have been developed for wired net...
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Fairness and system throughput, influenced by wireless interference, are major objectives of resource allocation in wireless networks. Whereas traditionally max-min fairness protocols have been developed for wired networks (where interference is not a factor for network performance), in this paper we investigate the problem of flow routing and fair bandwidth allocation under the constraints of the physical interference model for multihop wireless networks. A max-min fair (MMF) routing algorithm under physical interference constraints is proposed where multiple candidate paths coexist for each user to the base station. The algorithm is formulated as a multicommodity flow problem where the lexicographically largest bandwidth allocation vector is found among all optimal allocation vectors. We compare our approach with two MMF interference routing algorithms in the literature that use the protocol interference model to garner fair bandwidth allocation. We show that our algorithm performs better in terms of blocking probability, bandwidth usage and link load.
Technology advancements in robotics and communication make it possible to combine mobility and static wireless sensor networks. Being able to locomote enables sensors to (1) adjust their positions for better sensing q...
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Technology advancements in robotics and communication make it possible to combine mobility and static wireless sensor networks. Being able to locomote enables sensors to (1) adjust their positions for better sensing quality, (2) ensure field coverage by spreading out and (3) fill up communication gap to guarantee information sharing in wireless environment. Concerning the above three criteria, we propose a autonomous management scheme for mobile sensors, aims to achieve distributed sensor position control. Accordingly, we developed a testbed for mobile sensor network verification, with good interfaces to obtain ranging measurements and control sensor motion. Implementation details of building static and mobile sensors are given. Finally we present experiment results to verify the proposed sensor control scheme.
Multiple channels in Wireless Sensor Networks (WSNs) are often exploited to support parallel transmission and reduce interference. However, there are many challenges, such as extra communication overhead, posed to the...
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Multiple channels in Wireless Sensor Networks (WSNs) are often exploited to support parallel transmission and reduce interference. However, there are many challenges, such as extra communication overhead, posed to the energy constraint of WSNs by the multi-channel usage coordination. In this paper, we propose a Regret Matching based Channel Assignment algorithm (RMCA) to address those challenges. The advantage of RMCA is that it is highly distributed and requires very limited information exchanges among sensor nodes. It converges almost surely to the set of correlated equilibrium. Moreover, RMCA can adapt the channel assignment among sensor nodes to the time-variant flows and network topology. Simulations show that RMCA achieves good network performance in terms of both delivery ratio and packet latency.
For target tracking applications, active ultrasonic sensors may suffer from inter-sensor-interference when these highly dense deployed sensors are not scheduled. In this paper, we propose a dynamic distributed sensor ...
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For target tracking applications, active ultrasonic sensors may suffer from inter-sensor-interference when these highly dense deployed sensors are not scheduled. In this paper, we propose a dynamic distributed sensor scheduling (DSS) scheme, where the tasking sensor is elected spontaneously from the sensors with pending sensing tasks in a distributed way via random competition by using Carrier Sense Multiple Access (CSMA)-like fashion, and releases the channel immediately when ranging task is done. Both simulation results and testbed experiment demonstrate the efficiency of DSS scheme in terms of system scalability and tracking performance.
To tackle the problem of slippage during the cold rolling process of a tandem mill, a schedule optimization model for preventing slippage was established based on slip factor. Aiming to the shortages of the standard g...
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To tackle the problem of slippage during the cold rolling process of a tandem mill, a schedule optimization model for preventing slippage was established based on slip factor. Aiming to the shortages of the standard genetic algorithm, such as premature convergence, oscillation and over-randomization, an improved adaptive genetic algorithm was applied to optimize the system. In the algorithm a population-sorted multi-roulette-wheel selection operator was put forward for reducing the selected error generated by roulette-wheel randomization and promoting the probability of selecting better individuals. Simultaneously the algorithm decides the crossover rate and mutation rate of chromosome based on the individual adaptive value in the calculation process, makes the start phase variable obviously and the later phase stable slowly, and ensures population development, seeking balance and entire convergence. Experimental results and actual application show that the schedule optimization model can reduce the slip probability prominently, improve the product quality, and achieve a better economic benefit.
A forest fire spread model and its simulation algorithm based on 2D percolation lattice are presented in this paper, which can be used to simulate the forest fire spread process. The theoretical analysis and simulatio...
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For characterizing the series augmented railgun launching process, the study from analysis of muzzle voltage was insufficient since armature velocity, resistance and voltage drop of armature were also important to the...
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ISBN:
(纸本)9781424441747
For characterizing the series augmented railgun launching process, the study from analysis of muzzle voltage was insufficient since armature velocity, resistance and voltage drop of armature were also important to the launching process. In the present work, the variations of armature velocity, total resistance and voltage drop of armature against time were investigated based on the data of B-dot probes (to measure position of armature), Rogowsky coil (to monitor current) and high voltage probes (to observe muzzle voltage). Results indicated that, the voltage drop of armature and total resistance showed roughly the same trend as the change of velocity. There were obvious stages observed in two-turn series augmented railgun launching process.
Aim at the hysteretic nonlinearity characteristic of the giant magnetostrictive actuator in control, an internal model control method based on support vector regression is presented in this paper. Its models are built...
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Aim at the hysteretic nonlinearity characteristic of the giant magnetostrictive actuator in control, an internal model control method based on support vector regression is presented in this paper. Its models are built by support vector regression using the input and output data of the actuator and the internal model control is achieved. The simulation results show the method in this paper has better control precision.
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