It is significant to research the work safe and emergency management information system (PSEMIS) in large-scale hydroelectric project. This paper analyses the reviews and China Three Gorges Project Corporation work sa...
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Tissue P systems are a class of distributed and parallel computing models inspired by intercellular communication and cooperation between neurons. An interesting variant of tissue P systems is known as tissue P system...
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ISBN:
(纸本)9781424438655
Tissue P systems are a class of distributed and parallel computing models inspired by intercellular communication and cooperation between neurons. An interesting variant of tissue P systems is known as tissue P systems with cell separation, which is endowed with the ability of generating an exponential workspace in a linear time and in this way getting the possibility to solve computationally hard problems in polynomial time. In this paper, a uniform solution to 3-coloring problem by tissue P systems with cell separation is presented, which is linear in terms of the number of vertices and the number of edges.
Based on Particle Filter, Gravity Gradient-Terrain aided position technology is proposed in this paper. With the sensitivity of gravity gradient to terrain, the gravity gradient reference map can be computed from the ...
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A new path planning method for UAV in static workspace is presented. The method can find a nearly optimal path in short time which satisfies the UAV kinematic constraints. The method makes use of the skeletons to cons...
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This paper presents a new cerebellar model articulation controller (CMAC), a sliding-mode-based diagonal recurrent fuzzy CMAC (SDRFCMAC) to robot-assisted rehabilitation for stroke patients. To design the intelligent ...
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ISBN:
(纸本)9783642015120
This paper presents a new cerebellar model articulation controller (CMAC), a sliding-mode-based diagonal recurrent fuzzy CMAC (SDRFCMAC) to robot-assisted rehabilitation for stroke patients. To design the intelligentcontroller, the CMAC is integrated with some control methods, in which sliding mode technology is used to reduce the dimension of the contrl system, and fuzzy logic and diagonal recurrent structure is used to solve dynamic problems. The control architecture is represented in terms of stepping optimization system architecture comprising two learning stages to provide robotic assistance for an upper arm rehabilitation task and improve the safety of the human-robot system the asymptotical stability of the system. The effectiveness of the control scheme is demonstrated through a simulated case study.
Algorithmic self-assembly, a generalization of crystal growth, has been proposed as a mechanism for the bottom-up fabrication of autonomous DNA computation. In theory, growth can be programmed by designing a set of mo...
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ISBN:
(纸本)9781424438655
Algorithmic self-assembly, a generalization of crystal growth, has been proposed as a mechanism for the bottom-up fabrication of autonomous DNA computation. In theory, growth can be programmed by designing a set of molecular tiles with binding interactions that enforce assembly rules. There are many interesting applications of the reordering problem in Mathematics, as well as Computer Sciences. It is a useful primitive operation for computation and construction in the field of science and engineering. It is worth exploring more efficient approach to solve this problem. In this paper, we provide a description of a novel method for the reordering problem by use of the programmable tile assembly model. We propose the thought of block assembly model which takes full advantage of the huge parallelism inherent in the tile assembly. On the basis of the structural property, we delicately devise a rule to produce a long reporter strand which can connect all the inputs of the given problem with the final results. It is proved that this method can be extended to any reordering problem with arbitrary size in theory. The great advantage of our schema is that it only needs a constant number of tile types and in time linear with the size of the input problem to solve any reordering problem.
Intensive task-oriented repetitive physical therapies need be provided by individualized interaction between the patients and the rehabilitation specialists to improve hand motor performance for those survived from st...
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Intensive task-oriented repetitive physical therapies need be provided by individualized interaction between the patients and the rehabilitation specialists to improve hand motor performance for those survived from stroke and traumatic brain injury. The goal of this research is to develop a novel wearable device for robotic assisted hand repetitive therapy. We designed a pneumatic muscle (PM) driven therapeutic device that is wearable and provides assistive forces required for grasping and finger extension. The robot has two distinct degrees of freedom at the thumb and all other fingers. The embedded sensors can feedback position and force information for robot control and quantitative evaluation of task performance. It is potential of providing supplemental at-home therapy in addition to in the clinic treatment. To realize the trajectory tracking control, a fuzzy PID controller is designed for the proposed device. The experimental results show angle tracking control of the robotic hand using the fuzzy PID controller has better performance than that using a conventional PID controller.
Magnetoencephalography (MEG) is a neuroimaging technique for brain activation detection. This technique does not provide a unique solution due to ill-posedness of its inverse solution. Several methods are proposed to ...
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By researching the Brushlet domain coefficients of texture images, we found that the distribution of the magnitudes of Brushlet domain coefficients roughly meet rayleigh distribution. And there are correlations betwee...
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Looking for small universal computing devices is a natural and well investigated topic in computer science. Recently, this topic was also investigated in the framework of spiking neural P systems. One of small univers...
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Looking for small universal computing devices is a natural and well investigated topic in computer science. Recently, this topic was also investigated in the framework of spiking neural P systems. One of small universality results is that a small weakly universal extended spiking neural P system with 12 neurons was constructed. In this paper, a new way is introduced for simulating register machines by spiking neural P systems, where only one neuron is used for all instructions of register machine; in this way, we can use less neurons to construct universal spiking neural P system. Specifically, we give a smaller weakly universal spiking neural P system that uses extended rules and has only 9 neurons.
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