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The ambiguity search space has a great effect on integer ambiguity searching efficiency and confirmation. In the case of high ambiguity dimension, the search space is determined when the ambiguity dimension is large. The conventional method is prone to the ambiguity fixed failure. And the actual ambiguity group number and the expected value of a large deviation by the conservative method, resulting...
The paper exploits the convergence characteristics of the first- and second-order PI-type iterative learning control (ILC) schemes for linear time-invariant (LTI) systems with direct-through terms. The aim is to investigate the effects of the integration embedments into the conventional P-type ILC rule. In the exploitation, the tracking errors are assessed in the form of the Lebesgue-p norm and the...
The increasing scale of multi-core processors are likely to be randomly heterogeneous by design or because of diversity and flaws. The latter type of heterogeneity introduced by some unforeseen variable factors such as the manufacturing process variation is especially challenging because of its unpredictability. In this environment, thread scheduler and global power manager must handle such randomly...
Interval data is often met with in the real world. Fuzzy c-means for interval dataset (IFCM), an effective tool for clustering small or moderate scale interval dataset, can not deal with large scale interval dataset. This paper presents a new clustering method for this problem. The new method introduces collaborative mechanism into the IFCM to raise the efficiency. In other words, this method implements...
To effectively clean the large-scale, mixed and inaccurate monitoring or collective data, reduce the cost of data cache and ensure the consistent deviation detection on timing data of each cycle, a big data online cleaning algorithm based on dynamic outlier detection has been proposed. The data cleaning method is improved by local outliner detection upon density, sampling cluster uniformly dilution...
In Energy-Harvesting Wireless Body Area Networks (EH-WBANs), how to realize a power management strategy to enable lifetime operation is one of the most concern problems. To solve this problem, a feasible solution should be used to manage the harvested energy in sensor nodes in an EH-WBAN. So far, there are extensive studies about this issue for EH-WBANs. Unfortunately, the significant character of...
Aiming at the problem that ViBe (Visual Background extractor) algorithm is sensitive to illumination variation, an improved ViBe algorithm is proposed in this paper. First, a brightness reference image is build, which represents the brightness level of background. Second, adjust the brightness of current frame, which is changed by illumination variation, back to the reference images brightness level...
When solving complex function optimization problem, Differential evolution(DE) algorithms may suffer from low convergence rate. In this paper, we propose an improved differential evolution algorithm named n-IDE. Our algorithm uses Gaussian sequence to dynamically generate zoom factors and applies an improved hybrid mutation strategy to individuals in order to improve the overall performance. We compare...
The investigation of community structures in networks is an important issue in many domains and disciplines. However, Most of the present algorithms consider only structure of the network, ignoring some additional conditions such as direction, weight, semantic, etc. In this paper the behaviors of each vertex are focus. Based on the previous work, two limitations of swarm similarity in closely community...
A growing number of applications require disseminating information around specific geographical areas within a limited valid time. For example, the store in the mall area expects to publish the time-limited sales promotion to all the potential clients in the nearby area, before the discount activity end. In this paper, we study the problem of deploying infostation for geographical information dissemination...
A modified Differential Evolution algorithm was proposed to solve the NP-complete Task Assignment problem. In the modified Differential Evolution algorithm, a new mapping operation was constructed to generate the permutation from the floating-point coded gene of each individual in the current population. This slightly modification made the extension of the continuous field of Differential Evolution...
The investigation of community structures in networks is an important issue in many domains and disciplines.Closely communicating community is different from the traditional community which emphasize particularly on structure or context. The definition of closely communicating community and measuring method are introduced firstly. Based on the previous work, the closely communicating community detection...
Actual demand and cost in logistics system changed with time. The facility location problem considering the time factor was studied in this paper. A dynamic logistics nodes location model considering capacitated, multi-source and multi-level logistics nodes was presented. We also considered the influence of the transition between hub and non-hub logistics nodes, and established a new node. Based on...
This paper proposed a parallel particle filter algorithm with the help of GPU (Graphic Processing Unit) in face tracking. Due to illumination and occlusion problems, face tracking usually does not work stably based on a single cue. Three different visual cues, color histogram, edge orientation histogram and wavelet feature, are integrated under the framework of particle filter to improve the tracking...
The system architecture cannot adapt to the dynamic change of system disks, which is a general problem in traditional storage system. While EvoRAID system, a dynamic storage system we proposed, applies DAA algorithm to cope with three kinds of storage system disk changes—homogeneous disk adding, heterogeneous disk adding, and heterogeneous disk replacement. Simulation results demonstrate that without...
Nodes localization in mobile sensor networks can be dealt as a problem of mobile object tracking. The particle filters algorithm which is based on Bayesian estimation and Monte Carlo method is an effective tool to deal with these problems. The particle filters algorithm adopts a series of weighted particles to represent the possible position of a mobile object, and then makes use of the present observation...
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