The instability property of the standing wave uω(t, x) = eiωtφ(x) for the Klein–Gordon– Hartree equation is investigated. For the case N≥3 and w2 〈2/N+4-γ,it is shown that the standing wave eiwtφ(x) is...
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The instability property of the standing wave uω(t, x) = eiωtφ(x) for the Klein–Gordon– Hartree equation
is investigated. For the case N≥3 and w2 〈2/N+4-γ,it is shown that the standing wave eiwtφ(x) is strongly unstable by blow-up in finite time.
Representing video events is an essential step for a wide range of visual applications. In this paper,we propose the event sketch, a high-level event representation, to depict the dynamic properties of video events co...
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Representing video events is an essential step for a wide range of visual applications. In this paper,we propose the event sketch, a high-level event representation, to depict the dynamic properties of video events composed of actions of semantic objects. We show that this representation can facilitate a novel sketch based video retrieval(SBVR) system, which has not been considered before to the best of our knowledge. In this system, users are allowed to draw the evolutions(e.g. spatiotemporal layouts and behaviors of semantic objects)on a board, and retrieve the events whose semantic objects have the similar evolutions from a database. To do this, event sketches are constructed on both the user queries and database videos, and compared under a novel graph-matching scheme based on data-driven Monta Carlo Markov chain(DDMCMC). To test our approach, we collect a novel dataset of goal events in real soccer videos, which consists actions of multiple players and shows large variability in the evolution process of the events. Experiments on this dataset and the publicly available dataset CAVIAR demonstrated the effectiveness of the proposed approach.
In this paper, we propose a novel approach for controlling of crowd paths in real-time virtual environments. The proposed algorithm focus on addressing two problems: (1) the grid-based distance propagating for control...
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In this article, we deal with the algebraic structures of the partial orders induced by non-divisible t-norms. We first give a condition for the partial orders induced by non-divisible t-norms being a meet semi-lattic...
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visual odometry,which aims to estimate relative camera motion between sequential video frames,has been widely used in the fields of augmented reality,virtualreality,and autonomous ***,it is still quite challenging fo...
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visual odometry,which aims to estimate relative camera motion between sequential video frames,has been widely used in the fields of augmented reality,virtualreality,and autonomous ***,it is still quite challenging for stateof-the-art approaches to handle low-texture *** this paper,we propose a robust and efficient visual odometry algorithm that directly utilizes edge pixels to track camera *** contrast to direct methods,we choose reprojection error to construct the optimization energy,which can effectively cope with illumination *** distance transform map built upon edge detection for each frame is used to improve tracking efficiency.A novel weighted edge alignment method together with sliding window optimization is proposed to further improve the *** on public datasets show that the method is comparable to stateof-the-art methods in terms of tracking accuracy,while being faster and more robust.
This paper researched the key technologies and implementation methods of virtual telemedicine,in which the virtualreality,Cloud computing,Communication and modern medical technologies are comprehensively *** virtual ...
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ISBN:
(纸本)9781509001668
This paper researched the key technologies and implementation methods of virtual telemedicine,in which the virtualreality,Cloud computing,Communication and modern medical technologies are comprehensively *** virtual telemedicine is different from traditional medical which is out of the constraints of time and *** cloud architecture technology to design a remote cooperative medical application system based on virtualreality technology,which ensure that the medical diagnostic information could be presented and reproduced by 3D visualization models,and the system is crossplatform,many people sharing,synergetic and *** sharing and remote rapid consultation are implemented through remote real-time multiplayer sharing diagnosis based on 3D human anatomy model information,which use of cloud computing,secure communication,virtualreality technology and medical equipment to share data,text,voice and image data.
With the rapid development of new economy, China lubricant enterprises urgently need to implement effective Customer Relationship Management (CRM) to win the market. By constructing and applying CRM, lubricant enterpr...
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Based on the number of customers and the server’s workload,this paper proposes a modified Min(N,D)-policy and discusses an M/G/1 queueing model with delayed randomized multiple vacations under such a *** the well-kno...
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Based on the number of customers and the server’s workload,this paper proposes a modified Min(N,D)-policy and discusses an M/G/1 queueing model with delayed randomized multiple vacations under such a *** the well-known stochastic decomposition property of the steady-state queue size,the probability generating function of the steady-state queue length distribution is ***,the explicit expressions of the expected queue length and the additional queue length distribution are derived by some algebraic ***,employing the renewal reward theorem,the explicit expression of the long-run expected cost per unit time is ***,we analyze the optimal policy for economizing the expected cost and compare the optimal Min(N,D)-policy with the optimal N-policy and the optimal D-policy by using numerical examples.
English has emerged as the predominant global language, driving efforts to optimize its acquisition through interdisciplinary cognitive research. While behavioral studies suggest a link between English learning and ma...
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English has emerged as the predominant global language, driving efforts to optimize its acquisition through interdisciplinary cognitive research. While behavioral studies suggest a link between English learning and mathematical cognition, the neural mechanisms underlying this relationship remain poorly understood. To bridge this gap, the present study employs functional near-infrared spectroscopy (fNIRS) to construct a novel dataset on mathematical interference in English acquisition. Utilizing this dataset, a novel deep learning model named AC-LSTM is proposed, amalgamating Transformer and LSTM architectures to identify residual mathematical cognition during the English learning process. The AC-LSTM model achieves an exceptional accuracy rate of 99.8 %, surpassing other machine learning and deep learning models. Moreover, a multi-class classification experiment is conducted to discern algebra, geometry, and quantitative reasoning interference, with the AC-LSTM model achieving the highest accuracy of 75.9 % in this classification task. Furthermore, crucial brain channels for interference detection are pinpointed through grid search, and alterations in vital brain regions (R-Broca and L-Broca) are unveiled via association rule analysis. By integrating fNIRS, deep learning, and data mining techniques, this study delves into cognitive interference in English learning, providing valuable insights for educational neuroscience and data mining research.
In modern society, various patterns play an indispensable role. With the help of computer technology, the efficiency of designers in the field of pattern design has been significantly improved. However, in the process...
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