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In order to improve localization accuracy in mobile sensor network, based on quadratic programming-unscented Kalman filter (QP-UKF) and multidimensional scaling-MAP (MDS-MAP) methods, this paper studies node localization in mobile sensor networks. First, from the perspective of wireless sensor network overall localization, a nonlinear dynamic relative motion model for sensor network units is established...
Real-time Compressive Tracking (CT) uses the compression sensing theory to provide a new research direction for the target tracking field. The algorithm is simple, efficient and real-time. But there are still shortcomings: tracking results prone to drift phenomenon, cannot adapt to tracking the target scale changes. In order to solve these problems, this paper proposes to use the Kalman filter to...
Tracking single or multiple maneuvering targets is an urgent need for defense. In order to meet the military requirement, we propose a modified clustering-based Rao-Blackwellized particle filter (CBRBPF) to track single or multiple maneuvering targets with observations received by single or multiple sensors. The modified RBPF is basing on the clustering-based data association method. We partition...
A discrete-time distributed algorithm to solve a system of linear equations Ax = b is proposed with the M-Fejer mappings in this paper. The algorithm can find a solution of Ax = b from arbitrary initializations at a geometric rate when Ax = b has either unique or multiple solutions. The geometric convergence rate of the algorithm is first proved by analyzing the mixed norm of homogeneous M-Fejer mappings...
This paper is concerned with the channel estimation problem in millimeter wave (mmWave) wireless systems with large antenna arrays. By exploiting the inherent sparse nature of the mmWave channel, we first propose a fast channel estimation (FCE) algorithm based on a novel overlapped beam pattern design, which can increase the amount of information carried by each channel measurement compared to the...
Considering the industrial field, the problems of limited energy and changed topology of the network restrict the development of the centralized resource allocation. Although the traditional distributed resource allocation algorithm solves the network topology change partly, there is still no breakthrough in terms of energy consumption. In this paper, we simulate the Distributed Randomized TDMA scheduling...
To improve research efficiency of engineering problems, Surrogate model has gained its popularity in replacing real engineering model. This paper proposes a kind of Global Sequential Sampling Algorithm (GSSA) based on surrogate model. With the process of iteration, GSSA can sample both in unexplored region and large-error region, then iteratively update the samples. OLHS is used as initial sampling...
Scaled consensus seeking is investigated for a heterogeneous linear first-order multi-agent system, and a leader-following consensus algorithm is designed. By using frequency-domain analysis, consensus conditions are obtained for the agents without communication delay under symmetric and asymmetric topology respectively. Moreover, consensus criteria are also gained for the agents with communication...
Priority control is important in information systems that are designed according to SOA because there are services which have different functions and qualities, and a large amount of concurrent service requests may also occur at some point. A message scheduling model based on priority control of the service consumer is proposed. By adding an overall control queue between service consumers and service...
Multi-focus image fusion is an important technique that extracts sharp regions from multiple images and composites them into a fully focused image. In this paper, a novel spatial domain-based fusion algorithm for multi-focus images through gradient-based decision map construction and mathematical morphology is proposed. The contributions of this paper are: 1) a weighted kernel based on image gradient...
Multi-focus image fusion is an important technique that extracts sharpness regions from multiple images and composites them into a fully focused image. In this paper, a novel spatial domain based fusion algorithm for multi-focus image through gradient based decision map construction using morphology and active contour model is proposed. Firstly, the original focus maps are constructed based on the...
With the rapid growth of hierarchical data in public opinion analysis, users are in urgent need of information visualization techniques to present the data in an intuitive way in order to reveal the characteristics of the data, understand the rules behind the data, and then assist them in decision-making process. This research makes improvement in the display insufficiency of leaf nodes in the radial...
We applied nonlinear optimization to design metamaterials as free-space polarizers, integrated fiber couplers, polarization/wavelength splitter, and other linear mode converter devices. Such devices exhibit at least comparable or better performance than their conventional counterparts, but occupy a much smaller size.
PASCAL VOC Segmentation Challenge [10] is currently considered as one of the datasets that reflect the image segmentation difficulties for real world scenarios [29]. However, current evaluation is simply based on a single Inter-section Over Union (IOU) score. In this paper, we try to discover the error factors under the IOU, which makes the results more informative to understand rather than a black...
Imitating the antibody diversity maintaining mechanism of immune system to realize the global optimization is a target that the immune algorithm try to achieve. Based on the in-depth study of inhibition concentration mechanism, the global optimization characteristic of existing immune algorithm is analyzed, then a global conservation strategy for colony is proposed. Based on the strategy, the improved...
Assembly Sequence Planning (ASP) is a NP-hard combinatorial problem. In order to reduce computational complexity, this paper proposes a novel assembly sequence planning approach based on Graduated NonConvexity and Concavity Procedure (GNCPP), a general optimization framework which approximately solve the combinatorial optimization problems defined on the set of partial permutation matrices. The mathematical...
Battlefield situational information discovery is a key part of information distribution, based on ontology model theory, this paper describes the information service concepts and relationships among them, then get battlefield situational information description in semantic level, then modify the feature weight calculation in TFIDF formula to improve the accuracy of service matching, filter out irrelevant...
Facility layout problem (FLP) which deals with the placement of facilities in the plant area is one of the most critical problems in manufacturing systems design. This paper presents a novel facility layout approach based on differential evolution (DE) algorithm. Firstly, mathematical model with constraints for the FLP is established. Then, a new facility layout algorithm based on DE is proposed,...
According to the slow speed of recognition, huge volume and other problems in the traditional character recognition system, we design an embedded character recognition system based on FPGA using DE2 development platform from Altera Company. This system takes the Programmable Logic Device FPGA embedded Nios II soft core as the controller, with software and hardware cooperatively achieving functions...
As the explosive growth of online linked data, the task of mining link patterns attracts more and more attention. A practical issue is how to perform mining efficiently in large-scale linked data. Existing pattern mining algorithms usually assume that the dataset can fit into the main memory, while linked data of billion triples is far beyond the memory limitation. In this paper we give a pilot study...
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