In this paper, a novel spatial-temporal multi-scale method (STMSM) is proposed to solve the problem of detecting multiple moving objects on complex background. Moving objects have multi-scale features both in spatial ...
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ISBN:
(纸本)9784990644109;9781467322164
In this paper, a novel spatial-temporal multi-scale method (STMSM) is proposed to solve the problem of detecting multiple moving objects on complex background. Moving objects have multi-scale features both in spatial and temporal domain. The motion salience sub-spaces determine the moving features including position, size and trajectory of each moving object, then the problem of detecting moving objects can be transformed into searching optimal sub-spaces with different scales. This paper proposes a recursive algorithm for estimating motion salience in 3D space and an optimal determinant criterion. These can detect multiple objects at different spatial-temporal scales and extract their features on complex background. The experimental results show this method is effective in detecting multiple moving objects.
As it is predicted that mobile traffic demand will reach an astonishing 190 exabytes by 2018, current methods of spectrum allocation and management need to be rethought towards more advanced sharing of frequency bands...
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ISBN:
(纸本)9781467392839
As it is predicted that mobile traffic demand will reach an astonishing 190 exabytes by 2018, current methods of spectrum allocation and management need to be rethought towards more advanced sharing of frequency bands. To this end, a novel regulatory framework has recently emerged, named Licensed Shared Access (LSA), which enables guaranteed spectrum access for a limited number of sharers. However, realistic LSA band operation may result in its abrupt unavailability, causing traffic delays and even network access failures in case of unsuccessful "evacuation" of a user back to conventional cellular bands. In this paper, we formulate an adequate queuing-theoretical model for evaluating such service failure and interruption probability for users that attempt to operate within a cell of a network with the LSA capability.
The multi-state networks under consideration consist of a source node, a sink node, and some independent failure prone components in between. The components can work at different levels of capacity. For such a network...
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ISBN:
(纸本)9780976348627
The multi-state networks under consideration consist of a source node, a sink node, and some independent failure prone components in between. The components can work at different levels of capacity. For such a network, we are interested in evaluating the probability that the flow from the source node to the sink node is equal to or greater than a demanded flow of d units. A general method for reliability evaluation of such multi-state networks is using minimal path (cut) vectors. A minimal path vector to system state d is called a dMPs. Given that all d-MPs have been found, the issue becomes how to evaluate the probability of the union of the events that the component state vector is greater than or equal to at least one of the d-MPs. In this paper, we report an efficient recursive algorithm for this union probability evaluation based on the sum of disjoint products (SDP) principle, and name it the recursive Sum of Disjoint Products (RSDP) algorithm. RSDP provides us with an efficient, systematic and simple approach for evaluating multi-state two-terminal network reliability given all d-MPs.
Processor sharing (PS) queuing systems and particularly their well-known class of egalitarian processor (EPS) sharing are widely investigated by research community and applied for the analysis of wire and wireless com...
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ISBN:
(纸本)9783319439044;9783319439037
Processor sharing (PS) queuing systems and particularly their well-known class of egalitarian processor (EPS) sharing are widely investigated by research community and applied for the analysis of wire and wireless communication systems and networks. The same can be said for queuing systems in random environment, with unreliable servers, interruptions, pre-emption mechanisms. Nevertheless, only few works focus on queues with both PS discipline and unreliable servers. In the paper, compared with the previous results we analyse a finite capacity PS queuing system with unreliable server and an upper limit of the number of customers it serves simultaneously. For calculating the mean sojourn time, unlike a popular but computational complex technique of inverse Laplace transform we use an effective method based on embedded Markov chains. The paper also includes a practical numerical example of web browsing in a wireless network when the corresponding low priority traffic can be interrupted by more priority applications.
The paper introduced recursive algorithm of fractal graphics, put forward fractal graphics parallel algorithm. Analyzing recursive algorithmic time complexity and speedup rate of the parallel algorithm. The experiment...
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ISBN:
(纸本)9780769541105
The paper introduced recursive algorithm of fractal graphics, put forward fractal graphics parallel algorithm. Analyzing recursive algorithmic time complexity and speedup rate of the parallel algorithm. The experimental results of PC cluster show that the theoretical analysis and the experimental results of fractal graphics parallel algorithm are consistency with a marked speedup rate.
Sperm whales (Physeter macrocephalus) can dive in search of food to a depth of over 1500 m and return to the surface within approximately 90 minutes. This makes conventional visual observation methods impractical to l...
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ISBN:
(纸本)9781467348232
Sperm whales (Physeter macrocephalus) can dive in search of food to a depth of over 1500 m and return to the surface within approximately 90 minutes. This makes conventional visual observation methods impractical to locate and track these animals. However it is possible to use an acoustic method for this purpose since a diving whale produces a series of loud impulsive acoustic signals or 'clicks' at a fairly constant rate. In this paper, a new method for passive whale tracking is presented based on these signals. A recursive range estimation technique is presented using the angle of arrival and periodicity. The performance is evaluated using a synthesized whale range profile.
This article mainly studies the pressure control of high-pressure tubing. Based on the theoretical basis of the pressure formula, a pressure variation model based on the pressure formula is established and solved by t...
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This article mainly studies the pressure control of high-pressure tubing. Based on the theoretical basis of the pressure formula, a pressure variation model based on the pressure formula is established and solved by the enumeration method within the range. In the process of solving the model of the open time of the one-way valve in the problem, first, establish a model of the pressure change of the inlet and outlet oil. Using integral thinking, we get the oil density under each pressure. Based on the tubing pressure requirements in the corresponding time period together with the relationship between the net mass of the inlet and outlet oil per unit time, the relationship between the opening time of the inlet valve and the pressure is obtained by using the principle of the inlet valve opening time to control the inlet mass. The results of the corresponding pressure requirements are obtained through the enumeration method within the range.
In the papers (Kaminskas, 1973;Kaminskas and Nemura, 1975) the stopping rule of recursive least squares (RLS) is worked out using the length of the confidence interval for the respective current meaning of the true ou...
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In the papers (Kaminskas, 1973;Kaminskas and Nemura, 1975) the stopping rule of recursive least squares (RLS) is worked out using the length of the confidence interval for the respective current meaning of the true output signal of a linear dynamic system. The aim of the given paper is the development of techniques for calculating threshold intervals of respective criteria, used in such a stopping rule. In this connection adaptive threshold intervals based on the Cramer-Rao lower bound according to Pupeikis (1995) are proposed here, too. The results of numerical simulation by IBM PC/AT are given.
In this article, we consider the class of risk models with Markovian claim arrivals studied by Badescu et al. (2005) and Ramaswami (2006), among others. Under a multi-threshold dividend structure, we develop a recursi...
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In this article, we consider the class of risk models with Markovian claim arrivals studied by Badescu et al. (2005) and Ramaswami (2006), among others. Under a multi-threshold dividend structure, we develop a recursive algorithm for the calculation of the moments of the discounted dividend payments before ruin. Capitalizing on the connection between an insurer's surplus process and its corresponding fluid flow process, our approach generalizes results obtained by Albrecher and Hartinger (2007) and Zhou (2006) in the framework of the classical compound Poisson risk model (with phase-type claim sizes). Contrary to the traditional analysis of the discounted dividend payments in risk theory, we develop a sample-path-analysis procedure that allows the determination of these moments with or without ruin occurrence (separately). Numerical examples are then considered to illustrate our main results and show the contribution of each component to the moments of the discounted dividend payments.
In this study,the parameter estimation for a nonlinear system that consists of dynamic nonlinear output error model whose parameters are unknown and a static known arbitrary quantization function is *** difficulty occ...
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ISBN:
(数字)9789887581536
ISBN:
(纸本)9781665482561
In this study,the parameter estimation for a nonlinear system that consists of dynamic nonlinear output error model whose parameters are unknown and a static known arbitrary quantization function is *** difficulty occurs when the output of the unknown output-error model is unmeasurable and the system output is *** estimation algorithms are proposed to deal with the *** first one introduces a weighted innovation into the recursive algorithm that different weights yield different *** second algorithm is based on the recursive prediction error algorithm that an improved variable gradient prediction error algorithm is *** can be seen from the simulation example that the proposed algorithm is more capable of tracking if the appropriate weighting factor is selected and has a higher estimation accuracy compared to the conventional algorithms.
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