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To obtain the optimal attack position of antisubmarine helicopter in flight pickle, models to calculate airdrop parameters and torpedo's acquisition probability were built on the basis of analysis of flight pickle's attack process. Then simulations were made to analyze the effects of initial relative bearing and initial distance on torpedo's acquisition probability by using Monte Carlo method. The...
Accurate segmentation of moving objects from a video sequence is still a difficult task. A moving object segmentation method is proposed in this paper to deal with the segmentation splits and defects. First, it is claimed that the confusion point is one reason for the segmentation inaccuracy, and corresponding solution is also presented. According to the solution, new likelihood functions are proposed...
From a probabilistic point of view, this paper deduces an optimal initial value of the bias for max-min fuzzy neural network with n input neurons, which converges to 1 as n increases. Supporting numerical experiments are provided.
Taihu Lake is an important ecosystem in east China, and also an ecologically vulnerable region. Pesticide residues can be detected in Taihu Lake. Although the environmental concentrations are not high enough to harm the ecosystem acutely, the residues can pose potential risk to the ecosystem and human health because of their chronic impacts. It is necessary to assess the ecological risk induced by...
Differential Evolution (DE) is a recently proposed population based evolutionary technique, which attracts much attention for its simple concept, easy implementation and robustness. In order to enhance the performance of classical DE, this paper presents an improved DE algorithm for global optimization. The proposed approach IDE employs a mutation operator based on an opposition-based learning concept...
The Disruption Tolerant Networks (DTNs) are vulnerable to insider attacks, in which the legitimate nodes are compromised and the adversary modifies the delivery metrics of the node to launch harmful attacks in the networks. The traditional detection approaches of secure routing protocols can not address such kind of insider attacks in DTNs. In this paper, we propose a mutual correlation detection...
In this paper, we present a biased sampling strategy for object class modeling, which can effectively circumvent the scene matching problem commonly encountered in statistical image-based object categorization. The method optimally combines the bottom-up, biologically inspired saliency information with loose, top-down class prior information to form a probabilistic distribution for feature sampling...
A social network consists of events and individuals, in which the events denote the activities happening in the system and the individuals denotes the peoples who are attracted into the activities. A memory feature exists in a dynamic social network which leads to the decay of the event attraction, and further influences the structure and the dynamics of the network. In the paper, an agent model for...
In this paper, we firstly study the connectivity of ad hoc networks and establish the correlations of connectivity with average node degree. Then, based on the simulation result of connectivity, we present a probabilistic flooding algorithm that can tradeoff the efficiency and reliability by using weighting factor. Thus, we treat the well-known contradictions in our new algorithm. Our simulation results...
In this paper, one improved algorithm for the selection of local dynamic threshold based on niched genetic algorithm is proposed. With the maximum variance method being used as the fitness evaluation function, the genetic algorithm is designed, putting the image segmentation problem into one of the optimization issue. The optimal threshold is searched from the all segmentation parameter space by experiencing...
The reliability and delay of Slepian-Wolf distributed source coding (DSC) in sensor networks is analyzed under the random access setting. Consider a network of N sensors that observes correlated information from the environment and sends the local data to a central processor through direct transmission links. Due to the low message rate in sensor networks, we adopt the slotted ALOHA random access...
This paper presents a robust object tracking method via a spatial bias appearance model learned dynamically in video. Motivated by the attention shifting among local regions of a human vision system during object tracking, we propose to partition an object into regions with different confidences and track the object using a dynamic spatial bias appearance model (DSBAM) estimated from region confidences...
In this paper the problem of efficient data aggregation and report delivery in QoS-constrained distributed sensor networks is investigated. An analytical statistical model is introduced, to represent the data aggregation and report delivery process in sensor networks, with specific delivery quality requirements in terms of the achievable end-to-end delay and the successful report delivery probability...
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