作者：
Ya-Nan WangJian-Bo SuDepartment of Automation
Shanghai Jiaotong University Key Laboratory of System Control and Information Processing Ministry of Education of China 200240 China
Considering the face image is approximate symmetry, we proposed a measurement factor to quantify the symmetrical characteristic of face images. Firstly we transform the face image into even-odd face images using parit...
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Considering the face image is approximate symmetry, we proposed a measurement factor to quantify the symmetrical characteristic of face images. Firstly we transform the face image into even-odd face images using parity decomposition method. LBP features extracted in even images to construct training sets. Then we apply Adaboost training algorithm to structure a strong classifier. Experiment proved that this method can overcome environment disturbance, and effectively improve the recognition rate.
The convergence speed of multi-agent system is a focused issue in the consensus problem. The traditional consensus algorithm is generally discussed on the single-layer topology. The spectral partitioning algorithm of ...
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The convergence speed of multi-agent system is a focused issue in the consensus problem. The traditional consensus algorithm is generally discussed on the single-layer topology. The spectral partitioning algorithm of the complex network and NF algorithm was applied to the optimal decomposition problem of the multi-agent topology and a hierarchical consensus algorithm based on the community decomposition was proposed in this paper. By converting the single-layer consensus problem of the multi-agent system to multi-layer consensus problem, the convergence speed is effectively improved on the premise of maintaining the original topology constraints. The effectiveness of two types of algorithms is demonstrated by simulations compared with the classic model. Then the comparison between the spectral partitioning method and NF algorithm applied to the optimal decomposition problem is proposed.
Cooperative behaviors are ubiquitous in nature and human *** is very important to understand the internal mechanism of emergence and maintenance of *** we know now,the offsprings inherit not only the phenotype but als...
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Cooperative behaviors are ubiquitous in nature and human *** is very important to understand the internal mechanism of emergence and maintenance of *** we know now,the offsprings inherit not only the phenotype but also the neighborhood relationship of their *** recent research results show that the interactions among individuals facilitate survival of cooperation through network reciprocity of clustering *** paper aims at introducing an inheritance mechanism of neighborhood relationship to explore the evolution of *** detail,a mathematical model is proposed to characterize the evolutionary process with the above inheritance *** analysis and numerical simulations indicate that high-level cooperation can emerge and be maintained for a wide variety of cost-to-benefit ratios,even if mutation happens during the evolving process.
This paper investigates variation of infinite horizon (IH) performance of Model Predictive control (MPC) without constraints as the optimization horizon changes. By exploring properties of the Difference Riccati Equat...
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作者：
Lei HouL. Hou is with the Department of Automation
Shanghai Jiao Tong University Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai 200240 China hou at ***
— The authors propose an original camera synchronization technique to generate temporally-aligned vision frames during image acquisition, based on phase-locked loop (PLL), and is applicable to low-cost wireless visio...
— The authors propose an original camera synchronization technique to generate temporally-aligned vision frames during image acquisition, based on phase-locked loop (PLL), and is applicable to low-cost wireless vision sensor networks. No dedicated receivers are required so that the algorithm is applicable to vision sensors with only data storage for image or image-feature sequences. A Manchester Encoding inspired illumination modulation method can carry sequential information owing to serial communication, as well as satisfactory robustness to disturbances, such as mobile targets, fluctuating illumination amplitude, and moving cameras, etc., approved by experiments that a 1,000-Hz vision sensor is locked to 500-Hz modulated LED illumination with only 24- μ s jitters.
A large amount of networks are found to divide naturally into modules or communities within which the network connections are tight but between which they are sparser. However, it is still not clear that whether spars...
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A large amount of networks are found to divide naturally into modules or communities within which the network connections are tight but between which they are sparser. However, it is still not clear that whether sparse modules in which the nodes are sparsely connected internally and densely connected with other sparse or cohesive modules possibly exist and have functional meaning in complex networks. In this study, we first test BinTree Seeking method that detects both cohesive and sparse modules in a network on 4 networks with known modular structure. And then, we further study modular structure of 23 complex networks of different types and scales, and promising results indeed reveal that the sparse modules composed by the cohesively isolated nodes widely co-exist with the cohesive modules. Furthermore, the two types of modules are found often spatially closely related with each other. Compared with the cohesive modules, sizes of sparse ones are generally smaller.
Here we take advantage of the signal recovery power of Compressive Sensing (CS) to significantly reduce the computational complexity brought by the high-dimension image data, then an effective and efficient low-dimens...
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In this paper, we study the global asymptotical synchronization problem of delayed complex dynamical networks with a pre-given collection of general connection topologies where synchronization cannot be achieved by us...
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In this paper, we study the global asymptotical synchronization problem of delayed complex dynamical networks with a pre-given collection of general connection topologies where synchronization cannot be achieved by using any topology alone in this collection. By using single Lyapunov and multiple Lyapunov function methods, two global asymptotical synchronization conditions with the design of switching within the pre-given collection of topologies are presented for synchronizing such complex dynamical networks. According to the topological structure of the connection matrices, we consider more general forms. Simultaneous triangularizability, diagonalizability or even symmetry of the connection matrices is no longer assumed. Finally, simulation results are used to demonstrate the effectiveness of the proposed results.
作者：
Shitao TuLanjuan ZhuDepartment of Automation
Shanghai Jiao Tong University and Key Laboratory of System Control and Information Processing Ministry of Education of China 200240 China
Extraction-Transformation-Loading (ETL) plays an important role in data warehouse. Typically, performance is considered the main factor in ETL projects. Actually, faulttolerance and many other aspects influence the re...
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ISBN:
(纸本)9781467327626
Extraction-Transformation-Loading (ETL) plays an important role in data warehouse. Typically, performance is considered the main factor in ETL projects. Actually, faulttolerance and many other aspects influence the results of ETL greatly especially when the time period of projects are long and transformation rules cannot be determined from beginning, such as the situation of changing business logic. To satisfy the fault-tolerance and data validation in such kinds of situation, in this paper, we introduce a fault-tolerant algorithm which gives Redo strategy for different process interrupt scenarios. Moreover, we present a compound refresh mode consisting of full and incremental refresh to guarantee data correctness in changing business logic as well as timely data migration.
We propose an L 1/2 -based Iterative Matrix Completion algorithm for recovering the data transmitted with limited transmission window in the lossy environment to combat the high packet-loss rate. The transmission is r...
We propose an L 1/2 -based Iterative Matrix Completion algorithm for recovering the data transmitted with limited transmission window in the lossy environment to combat the high packet-loss rate. The transmission is regarded as the sampling process of Matrix Completion, hence the existing transmitting protocol or coding methods can be used to gain more samples and not mutually exclusive to the algorithm. The simulations with real world data show the effectiveness and efficiency of the scheme even the data are transmitted in the simplest way.
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