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Recently, more neuroscience researches focus on the role of dendritic structure during the neural computation. Inspired by the specified topologies of numerous dendritic trees, we proposed a single neural model with a particular dendritic structure. The dendrites are composed of several branches, and these branches correspond to three distributions in coordinate, which are used to classify the training...
Semantic feature extraction technique for human bodies is essential for some application, such as reverse engineering, mannequin dimensions extraction and parametric design of mannequins. This paper present a method on 2D orthographic projection to extract the semantic feature of 3D human model. Firstly, we get the human models orthographic projection and use a new intelligent contour tracking algorithm...
With the acceleration of urbanization, urban ecological environment is facing increasing pressures. The ecological environment problems have become important bottlenecks of blocking urban sustainable development. Taking Jinan city as a case study, this paper first studies the land use change which is impacting urban ecological environment, then it makes the comprehensive evaluation on urban ecological...
The paper focusing on application and development of ActiveX control used in instrument simulation system, and introduced the methods to use GL Studio software to generate ActiveX Control in the VC++ development environment. It provides a good software support for the expansion of GL Studio software in the field of developing virtual simulation interface. Based on the idea of designing virtual instrumentation...
Let AD(u) be the deficit at ruin in the delayed renewal risk model, where u is the initial capital of the company. Under the assumption that the equilibrium distribution of the claim size belongs to the subexponential class, this paper obtains an asymptotic formula for the φ-moment of AD(u). This result improves the related works in the recent literature.
Kluppelberg and Stadtmuller (1998) proved a precise asymptotic formula for the ruin probability of the classical interest force and regularly varying tailed claims when the initial capital u tends to infinity . This paper extends their results in several aspects as follows: First, the risk models are the Conditional Poisson and Non-Qici Poisson Process respectively; Second, the ruin probability is...
Consider an insurance risk model, in which the surplus process satisfies a recursive equation Un = Un-1(1 + r) - Xn for n ≥ 1, where, U0 = x ≥ 0 is the initial surplus, r > 0 is the constant interest rate, each Xn denotes the gross loss during the nth year, and Xn, n = 1, 2, ..., constitute a sequence of i.i.d. real valued r.v.'s with common d.f. F. This paper investigates the ruin probability...
In this paper, the finite-time ruin probability with different interest rates for non-standard Poisson model is considered. Under the assumptions that the claim-arrival process is non-standard Poisson process, i.e. nonhomogenous and conditional Poisson process, and the claimsize is subexponentially distributed, some simple asymptotic formulae of ruin probability within finite horizon are derived....
This paper researches the ruin probability with insurance capital investing in risky asset. Under the assumptions that the claim-arrival follows renewal process and the claimsize is of Pareto distribution, by using BlackScholes formula to re-express the surplus process, the asymptotic formulae of finite and infinite time ruin probability are derived. Relationship between ruin probability and renewal...
Under the assumption that the claimsize is subexponentially distributed and the insurance surplus is totally invested in risky asset, a simple asymptotic formula of discounted aggregate claims for renewal risk model within finite horizon is obtained. The main results we derived extend the corresponding conclusion of related references.
Autonomic networks rely on the cooperation of participating nodes for almost all their functions. However, due to resource constraints, nodes are generally selfish and try to maximize their own benefit when participating in the network. Therefore, it is important to study mechanisms, which can be used as incentives for cooperation inside the network. In this paper, the interactions among nodes are...
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