Internet as the fertile ground of free speech, everyone can express their emotions, cognition and views of things via the internet, especially in the era of Web2.0, the occurrence of blog which provides a wider space ...
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Many organizations adopt information technologies to make intelligent decisions during operations. Time-series data plays a crucial role in supporting such decision making processes. Though current studies on time-ser...
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Traffic signal coordination has long been a hot topic in Intelligent Transportation systems (ITS) research. Simulation-based optimization is an important method to optimize the coordination designs as the traffic syst...
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Traffic micro-simulation is an important tool in the Intelligent Transportation systems (ITS) research. In the micro-simulation, a bottom up system can be built up by the interactions of vehicle agents, road agents, t...
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In order to meet the requirements of stable person detection and tracking techniques in dynamic visual system, we propose a simplified minimum enclosing ball based fast incremental support vector machine (SVM) algorit...
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ISBN:
(纸本)9781467313971
In order to meet the requirements of stable person detection and tracking techniques in dynamic visual system, we propose a simplified minimum enclosing ball based fast incremental support vector machine (SVM) algorithm for person detection and tracking. Based on the simplified minimum enclosing ball (MEB) method, we propose a simplified and fast incremental algorithm to compute the MEB. By utilizing the equivalence between MEB and the dual problem in SVM, we achieve the online and incremental adjustment of the SVM classifier coefficients. The proposed method do not need to solve the quadratic programming problem. It is fast for training. Moreover, it can achieve the online update of classifiers for object tracking with small sample size. Finally, the efficiency of the proposed incremental SVM is validated by detection experiments on dynamic pedestrians tracking system.
A visual monitoring network suitable for robotic systems is presented in this paper. The monitoring network is composed of embedded vision nodes. By interacting with an upper computer as well as the robotic system, th...
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To further enhance emergency management skills of an organisation's emergency response personnel, emergency response training,especially 3D emergency drill, is currently becoming more and more important in the pet...
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Evacuation is an effective strategy to mitigate damage of man-made or natural disasters. Evacuation clearance time is one of the key indicators in evacuation planning and management. Evacuees' destination choice a...
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ISBN:
(纸本)9781467313988
Evacuation is an effective strategy to mitigate damage of man-made or natural disasters. Evacuation clearance time is one of the key indicators in evacuation planning and management. Evacuees' destination choice and route choice behavior are two crucial factors used to estimate evacuation clearance time. However, these two factors are viewed as constants in previous research, and the quantification of the impact of these two factors is lacking. In this paper, the authors report impact of variation of evacuees' destination choice and route choice behavior on evacuation clearance time. The impact analysis is done based on a case study by using an artificial transportation system platform called TransWorld. And the best values of evacuees' destination choice and route choice behavior are given, respectively. The computational experimental results illustrate that if evacuation managers adopt reasonable strategies to guide evacuees' destination choice and route choice, it can significantly reduce evacuation clearance time. The simulation methodology, computational results and discussion can be used for future emergency evacuation planning. This study also provides potentials of new emergency evacuation management and control strategies from the perspective of evacuee behavior.
Click fraud (CF) has become a serious problem in the online advertising, making the anti-CF issue quite important. In this paper, we analyze the effects of the price determination model on the CF situations in online ...
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Click fraud (CF) has become a serious problem in the online advertising, making the anti-CF issue quite important. In this paper, we analyze the effects of the price determination model on the CF situations in online advertising. Our theoretical results show that the flat-rate model can induce more click frauds than the real-time-bidding model. Our finding is validated with a real advertising dataset.
Chinese word segmentation (CWS) lays the essential foundation for Mandarin Chinese analysis. However, its performance is always limited by the identification of unknown words, especially for short text such as Micro-b...
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