In this paper, we combined the public secrete key cryptograph system proposed by Diffie and Hellman, with the infinite generation keys based on grey theory. And we got another related code for cryptograph system. This...
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In this paper, we combined the public secrete key cryptograph system proposed by Diffie and Hellman, with the infinite generation keys based on grey theory. And we got another related code for cryptograph system. This is a kind of infinite generation keys based on the public key system. This system is much more secrete than traditional systems, and it can also be applied in then. According to past researches, Diffie and Hellman had presented the basic concepts of cryptography, Based on the discrete logarithm model. Another search in grey field, only a few papers had touched this field. It is the first time that AGO method applied in grey theory in this kind of research. Also, based on the GM(1,1) model, we used finite original code to create a infinite variables code sequence, and we got the code from the known secrete key. In this paper, we define two parameters: cryptography sequence ψ and 3rd order symmetric group S3 and presented six cryptography models to contribute our system. Based on discrete logarithm model, the secrete value is high to O(eC√ln(p)ln(ln(p))) for public system, and it is hard to calculate the sequence by the present comp.ting ability. Therefore, to break into this system by mathematical formula is no way nowadays. Besides, to promote the efficiency, we also develop a toolbox, it can not only to decrease the calculation time, but also examine the reliability of our system.
A new adaptive controller based on multiple neural networks for uncertain robot manipulator system was developed in this paper. The proposed multiple neuro-adaptive controller (MNAC) switches to a memorized control sk...
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A new adaptive controller based on multiple neural networks for uncertain robot manipulator system was developed in this paper. The proposed multiple neuro-adaptive controller (MNAC) switches to a memorized control skill or blends multiple skills by using visual information on the given job to improve transient response at the time of task variation like change of manipulating object. MNAC is a kind of adaptive feedback controller where system nonlinearity terms are approximated with multiple neural networks. The proposed controller is effective for a job where some tasks are repeated but information on the load cannot be scheduled before the operation. During learning phase, MNAC memorizes a control skill for each load with each neural network. For a new task, most similar existing control skill may be used as a starting point of adaptation, which improves the performance of learning. Lyapunov function based design of MNAC guarantees the stability of the closed-loop system to be independent of switching or blending law. Simulation results on two-link manipulator for changing mass of the given load were illustrated to show the effectiveness of the proposed control scheme by the comp.rison with the conventional neuro-adaptive controller (NAC).
Often, data used in on-line decision making (for example, in determining how to react to changes in process behavior, traffic flow control, etc.) is dynamic in nature and hence the timeliness of the data delivered to ...
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Often, data used in on-line decision making (for example, in determining how to react to changes in process behavior, traffic flow control, etc.) is dynamic in nature and hence the timeliness of the data delivered to the decision making process becomes very important. The delivered data must conform to certain time or value based application specific inconsistency bounds. A system designed to disseminate dynamic data can exploit user-specified coherency requirements by fetching and disseminating only those changes that are of interest to users and ignoring intermediate changes. But, the design of mechanisms for such data delivery is challenging given that dynamic data changes rapidly and unpredictably, the latter making it very hard to use simple prediction techniques. In this paper, we address these challenges. Specifically, we develop mechanisms to obtain timely and consistency-preserving updates for dynamic data by pulling data from the source at strategically chosen points in time. Motivated by the need for practical system design, but using formal analytical techniques, we offer a systematic approach based on control-theoretic principles. Our solution is also unique from a control-theoretic perspective due to the presence of inherent non-linear system comp.nents and the dependence between the sampled time and sampled value. A proportional controller with dynamically changing tuning criteria is used in this work as a means of deciding when to next refresh data from the source. Using real-world traces of real-time data we show the superior performance of our feedback-driven control-theoretic approach by comp.ring with (i) a previously proposed adaptive refresh technique and (ii) a new pattern matching technique.
The aim of this paper is to prove the following theorem concerning the term by term differentiation the-orem of Walsh-Kaczmarz series. Let (ck) be a decreasing real sequence withare integrable functions and f(x) is a....
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The aim of this paper is to prove the following theorem concerning the term by term differentiation the-
orem of Walsh-Kaczmarz series. Let (ck) be a decreasing real sequence with
are integrable functions and f(x) is a. e. dyadic (or Butzer and Wagner) differentiate with
The function Kk means the kth Walsh-Kaczmarz function.
A fourth order finite difference method is presented for the 2D unsteady viscous incomp.essible Boussinesq equations in vorticity-stream function formulation. The method is especially suitable for moderate to large Re...
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A fourth order finite difference method is presented for the 2D unsteady viscous incomp.essible Boussinesq equations in vorticity-stream function formulation. The method is especially suitable for moderate to large Reynolds number flows. The momentum equation is discretized by a comp.ct fourth order scheme with the no-slip boundary condition enforced using a local vorticity boundary condition. Fourth order long-stencil discretizations are used for the temperature transport equation with one-sided extrapolation applied near the boundary. The time stepping scheme for both equations is classical fourth order Runge-Kutta. The method is highly efficient. The main comp.tation consists of the solution of two Poisson-like equations at each Runge-Kutta time stage for which standard FFT based fast Poisson solvers are used. An example of Lorenz flow is presented, in which the full fourth order accuracy is checked. The numerical simulation of a strong shear flow induced by a temperature jump, is resolved by two perfectly matching resolutions. Additionally, we present benchmark quality simulations of a differentially-heated cavity problem. This flow was the focus of a special session at the first MIT conference on comp.tational Fluid and Solid Mechanics in June 2001.
The intelligent comp.ter network fault diagnosis expert system can answer various comp.ter network fault problems that users put forward, and make corresponding fault handling ways. On the basis of some knowledge exis...
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The intelligent comp.ter network fault diagnosis expert system can answer various comp.ter network fault problems that users put forward, and make corresponding fault handling ways. On the basis of some knowledge existed in knowledge base and dynamic inquiry of users and the corresponding answer of system, the software can self-learn and reason. The knowledge base and database are designed with an open scheme so that users can conveniently maintain and update knowledge.
The architecture and implementation of the soccer robot HIT-II for autonomous robot soccer game (RoboSot), which consists of main comp.ter, vision perception system, motion system, wireless communication system and po...
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The architecture and implementation of the soccer robot HIT-II for autonomous robot soccer game (RoboSot), which consists of main comp.ter, vision perception system, motion system, wireless communication system and power supply system, and features small size, high comp.tation performance and robustness were discussed. Although this robot was designed for robot soccer, it can be used for other intelligent mobile robots.
This paper presents a new method for the classification of dielectrical object's RGB values into their body and surface reflections. inst.ad of segmenting into the two reflection comp.nents a weight is estimated t...
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This paper presents a new method for the classification of dielectrical object's RGB values into their body and surface reflections. inst.ad of segmenting into the two reflection comp.nents a weight is estimated that a given pixel belongs to one of them. A weighting value may be useful for classification of body and surface reflections in combination with other methods. The method operates globally on the pixel points using expectation maximization for fitting the body and surface vectors in the case of one highlight reflection. In the case of multiple highlights it is shown that it is possible to relax the method by fitting one surface vector to multiple highlights. The method was empirically validated on real image data captured using a high dynamic imaging sensor (120dB). Promising results show that the method is capable of classifying the two reflection comp.nents.
A theoretical model for the electronic structure and transport properties of superlattice (SL) nanovvires is presented, based on the electronic tunneling between quantum dots. Due to the periodic potential perturbatio...
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A theoretical model for the electronic structure and transport properties of superlattice (SL) nanovvires is presented, based on the electronic tunneling between quantum dots. Due to the periodic potential perturbation, SL nanowires exhibit unusual features in the electronic density of states that are absent in homogeneous nanowires. Transport property calculations of PbSe/PbS SL nanowires are presented, showing improved thermoelectric performance comp.red to homogeneous nanowires because of a lower lattice thermal conductivity and an enhanced Seebeck coefficient, indicating that SL nanowires are promising systems for thermoelectric applications.
In the recent past, many researchers have developed control algorithms for visual servo applications. In this paper, we introduce a new hybrid switched system approach, in which a high-level decision maker selects bet...
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In the recent past, many researchers have developed control algorithms for visual servo applications. In this paper, we introduce a new hybrid switched system approach, in which a high-level decision maker selects between two visual servo controllers. We have evaluated our approach with simulations and experiments using three individual visual servo systems and three candidate switching rules. The proposed method is very promising for visual servo tasks in which there is a significant distance between the initial and goal configuration or the task is one that can cause an individual visual servo system to fail.
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