The study of the second order motion in biological vision is a new source of inspiration for algorithms and research directions in computer vision. In this paper, the second order motion can be divided into three typi...
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The study of the second order motion in biological vision is a new source of inspiration for algorithms and research directions in computer vision. In this paper, the second order motion can be divided into three typical group according to the modulation types: spatial modulate motion, temporal modulate motion and spatio-temporal modulate motion. Experiments are conducted on the first order motion perception based on correlation model and the second order motion perception by correlation model preceded with a nonlinear process called texture grabber. The computational results are consistent with the previous suggestion that the second order motions are processed by nonlinear system.
In this paper, a multi-agent social evolutionary algorithm is proposed for multiobjective optimization problems. It completes the search process by the agent evolution. MOMASEA (multi-agent social evolutionary algorit...
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This paper presents new stability results for recurrent neural networks with Markovian switching. First, algebraic criteria for the almost sure exponential stability of recurrent neural networks with Markovian switchi...
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This paper presents new stability results for recurrent neural networks with Markovian switching. First, algebraic criteria for the almost sure exponential stability of recurrent neural networks with Markovian switching and without time delays are derived. The results show that the almost sure exponential stability of such a neural network does not require the stability of the neural network at every individual parametric configuration. Next, both delay-dependent and delay-independent criteria for the almost sure exponential stability of recurrent neural networks with time-varying delays and Markovian-switching parameters are derived by means of a generalized stochastic Halanay inequality. The results herein include existing ones for recurrent neural networks without Markovian switching as special cases. Finally, simulation results in three numerical examples are discussed to illustrate the theoretical results.
Convolution is an important and useful operation in the fields of digital signal processing. In this paper, based on the previous work of performing discrete Fourier transform (DFT) via linear sums of discrete moments...
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Convolution is an important and useful operation in the fields of digital signal processing. In this paper, based on the previous work of performing discrete Fourier transform (DFT) via linear sums of discrete moments, we have made development to eliminate multiplications in discrete Fourier transforms by performing appropriate bit operations and shift operations in binary system, which can be implemented by integer additions of fixed points; then using the convolution theorem with the DFT, we compute the convolution with two DFTs, a point-by-point product, and an inverse DFT. Our algorithm involves fewer multiplications and can deal with arbitrary length signals.
Discrete Hartley transform (DHT) is an important tool in digital signal processing. In this paper, based on our previous work of performing DHT via linear sums of discrete moments, we have made development to eliminat...
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Discrete Hartley transform (DHT) is an important tool in digital signal processing. In this paper, based on our previous work of performing DHT via linear sums of discrete moments, we have made development to eliminate multiplications in discrete Hartley transforms by performing appropriate bit operations and shift in binary system, which can be implemented by integer additions of fixed points. An efficient and regular systolic array is designed to implement it, and the complexity analysis is also given. Different to other fast Hartley transforms, our algorithm can deal with arbitrary length signals and get high precision. The approach is also applicable to multi-dimensional DHT and DHT inverses.
Objectives: This research investigated (1) the attitudes of dental patients toward searching online for dental information and (2) patients attitudes and expectations towards a web-based 3D virtual reality program for...
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Objectives: This research investigated (1) the attitudes of dental patients toward searching online for dental information and (2) patients attitudes and expectations towards a web-based 3D virtual reality program for clinical dentistry. Methods: A questionnaire survey was conducted in six clinics across two cities in China. Dental patients visiting the six clinics were invited to participate in the study. All subjects browsed a webpage containing the 3D virtual reality dental program. The new media was supplemented as a consultive system for patients into the traditional pattern of seeking dental care procedure. Subjects then completed a questionnaire detailing their attitudes toward their experience with the software. The questionnaire responses were then collected and analyzed. Results: 45% of respondents reported having searched information online before receiving dental care. Respondents held different attitudes towards the online dental information, with a majority reporting a reliance on it but with reservations. Over 50% of respondents held positive attitudes to the web-based virtual reality dental information program, while 21% reported negative views toward the new method. Most respondents reported that the web-based virtual reality program was superior to traditional static web pages, but only as a supplementary material. Respondents also indicated that internet speed may likely be a major determinant to their future usage of such a system. Conclusions: These findings indicate that a considerable portion of respondents conduct their own internet searches for related dental information before seeking professional advice on dental care. Most of the respondents reported positive attitudes towards a web-based virtual reality program for clinical dentistry. However, the current speed of internet connections in China is a major area of concern for the future application and uptake of web-based virtual reality dental software. (C) 2008 Elsevier Ireland Ltd. All
This paper studies the stabilization problem for a class of stochastic nonlinear interconnected systems with unknown parameters involved. By employing filtered transformation, the stochastic Lyapunov-like theorem and ...
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ISBN:
(纸本)9781424447060
This paper studies the stabilization problem for a class of stochastic nonlinear interconnected systems with unknown parameters involved. By employing filtered transformation, the stochastic Lyapunov-like theorem and the back-stepping design technique, a decentralized output-feedback controller and parameter adaptive law are proposed. It is proved that the closed-loop, large-scale, interconnected stochastic systems is globally asymptotically stable in probability.
This paper investigates the dynamics of a two-stage supply chain consisting of one retailer and one distributor with order-up-to control policy. A discrete time state space model is developed to analyze the system. Du...
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This paper investigates the dynamics of a two-stage supply chain consisting of one retailer and one distributor with order-up-to control policy. A discrete time state space model is developed to analyze the system. Due to the constraints of the distributor's capacity, the supply chain turns out to be an autonomous switched system corresponding to the shipment policy of the distributor. The stability of the system studied is analyzed using switched system theory and discrete system control theory for the practical perspective. This study shows that the system will exhibit stable, periodic, and divergent behavior with different order policy parameters due to the switching mechanism within the system. The relationship between dynamics and cost is investigated, and insights are obtained about the control of the supply chain.
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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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.
Tissue P systems with cell division are biologically inspired theoretical models of distributed and parallel computing, which provide the possibility to solve computationally hard problems in polynomial time. In this ...
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Tissue P systems with cell division are biologically inspired theoretical models of distributed and parallel computing, which provide the possibility to solve computationally hard problems in polynomial time. In this paper, we present a semi-uniform solution to the multidimensional 0-1 knapsack problem by such kind of devices, which is linear in terms of the number of variables, the number of constraint inequalities, and all coefficients related with variables.
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