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Traditional method to obtain public transport OD matrix by massive sample surveys cost a lot of resources and cannot reflect the actual travel demand. Many researchers have put forward various methods to estimate public transport OD matrix based on limited public traffic data. In order to take advantage of the big data and obtain the public transport OD matrix in city scale, this paper proposed a...
For a class of linear displacement actuator systems proceeded by Prandtl-Ishlinskii hysteresis model, an adaptive sliding mode controller is designed. At first, in order to reduce the hysteresis effect, an inverse approximate operator is used as a feed-forward compensator, and quantitative analysis of the inverse error is given. An adaptive sliding mode controller is then designed by Lyapunov method...
Video compression plays an important role in mobile applications, because more and more people use video to communicate with each other (like video call etc). However, the resources (energy, memory etc.) on mobile devices are limited, thus how to achieve a high coding performance in these devices becomes a big challenge. The recent standards such as H.264, HEVC and audio video coding standard (AVS)...
Forest type identification is one of most important contents of forest inventory. K nearest-neighbour algorithm has already proven their use in forest mapping. However, as the remote sensing data was large scale, the efficiency of processing based on KNN decreased seriously. Therefore, the study implemented a tool which could have the feature of fast processing multi-spectral data based on KNN. For...
Large-scale distributed system provides an attractive scalable infrastructure for network applications. In such environment there exist large sets of heterogeneous and geographically distributed resources. These resources can be aggregated as a virtual computing platform for executing large-scale scientific applications. Among numerous optional resources, selecting appropriate resources for applications...
Covert-tracking robot refers to the mobile robot that not only can follow a human objective, but at the same time can control itself to keep away from the human's visual field. This paper proposes a head orientation estimation method based on probability model, which can help the robot to implement its covert behaviors. First, the elliptical head contour is tracked out by using a method based on quadrant...
For the contradiction between accuracy and data size, this paper introduces an improved estimation algorithm of symbol synchronization based on the maximum mean power estimation algorithm. A Deslauriers-Dubuc interpolation filter is used in the improved algorithm. Analysis of experimental results showed that the estimation algorithm proposed in this paper not only improves the accuracy of estimate,...
The risk management of IT outsourcing (ITO) has a significant influence on the success of outsourcing. The accuracy of risk assessment directly impacts the effectiveness of risk management. For the characteristics of ITO, a Bayesian network method for evaluating ITO risk is proposed in this article. The Interpretive structural modeling is used to construct the network structure diagram and risk probabilities...
This paper mainly aims at BPSK signals to establish and validate a timing estimation method named as WP.Z algorithm that uses two samples/symbol sampling rate and its modified algorithm. Both of them have been carried on modeling and simulating in detail and their performance is evaluated under various parameters. It is not only discussed the accuracy, astringency and applied bound between two algorithms,...
We propose a network flow based optimization method for data association needed for multiple object tracking. The maximum-a-posteriori (MAP) data association problem is mapped into a cost-flow network with a non-overlap constraint on trajectories. The optimal data association is found by a min-cost flow algorithm in the network. The network is augmented to include an explicit occlusion model(EOM)...
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