In this paper,we study the finite-time cluster synchronization of complex networks with time *** are two different types of time-varying delays in the network:the internal time delay and the coupling ***'s more,we...
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ISBN:
(纸本)9781467397155
In this paper,we study the finite-time cluster synchronization of complex networks with time *** are two different types of time-varying delays in the network:the internal time delay and the coupling ***'s more,we assume that coupling time-varying delays exist only between nodes in different clusters,while no delay happens between nodes in the same cluster,which is more consistent with the real *** on the Lyapunov stability theorem,sufficient conditions are derived to guarantee the realization of the finite-time cluster ***,numerical simulations are provided to support the obtained theoretical results.
In this paper, we study the relationship between the network-based inference method and global ranking method in personal recommendation. By some theoretical analysis, we prove that the recommendation result under the...
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ISBN:
(纸本)9781467386456
In this paper, we study the relationship between the network-based inference method and global ranking method in personal recommendation. By some theoretical analysis, we prove that the recommendation result under the global ranking method is the limit of applying network-based inference method with infinite times.
The deep two-stream architecture [23] exhibited excellent performance on video based action recognition. The most computationally expensive step in this approach comes from the calculation of optical flow which preven...
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ISBN:
(纸本)9781467388511
The deep two-stream architecture [23] exhibited excellent performance on video based action recognition. The most computationally expensive step in this approach comes from the calculation of optical flow which prevents it to be real-time. This paper accelerates this architecture by replacing optical flow with motion vector which can be obtained directly from compressed videos without extra calculation. However, motion vector lacks fine structures, and contains noisy and inaccurate motion patterns, leading to the evident degradation of recognition performance. Our key insight for relieving this problem is that optical flow and motion vector are inherent correlated. Transferring the knowledge learned with optical flow CNN to motion vector CNN can significantly boost the performance of the latter. Specifically, we introduce three strategies for this, initialization transfer, supervision transfer and their combination. Experimental results show that our method achieves comparable recognition performance to the state-of-the-art, while our method can process 390.7 frames per second, which is 27 times faster than the original two-stream method.
With the rapid expansion of data scale, big data mining and analysis have attracted increasing attention. Outlier detection as an important task of data mining is widely used in many applications. However, conventiona...
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ISBN:
(纸本)9781467399562
With the rapid expansion of data scale, big data mining and analysis have attracted increasing attention. Outlier detection as an important task of data mining is widely used in many applications. However, conventional outlier detection methods have difficulty handling large-scale datasets. In addition, most of them typically can only identify global outliers and are over sensitive to parameters variation. In this paper, we propose a novel method for robust local outlier detection with statistical parameters, which incorporates the clustering-based ideas in dealing with big data. Firstly, this method finds some density peaks of dataset by 3σ standard. Secondly, each remaining data object in the dataset is assigned to the same cluster as its nearest neighbor of higher density. Finally, we use Chebyshev's inequality and density peak reachability to identify local outliers of each group. The experimental results demonstrate the efficiency and accuracy of the proposed method in identifying both global and local outliers. Moreover, the method is also proved to be more stability analysis than typical outlier detection methods, such as LOF (Local Outlier Factor) and DBSCAN (Density-Based Spatial Clustering of Applications with Noise).
Liveness is a basic property of a system and the liveness issue of unbounded Petri nets remains one of the most difficult problems in this *** work proposes a novel method to decide the liveness of a class of unbounde...
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Liveness is a basic property of a system and the liveness issue of unbounded Petri nets remains one of the most difficult problems in this *** work proposes a novel method to decide the liveness of a class of unbounded generalized Petri nets calledω-independent unbounded nets,breaking the existing limits to one-place-unbounded *** algorithm to construct a macro liveness graph(MLG)is developed and a critical condition based on MLG deciding the liveness ofω-independent unbounded nets is *** are provided to demonstrate its effectiveness.
With the rising of Cloud computing, evolution have occurred not only in datacenter, but also in software development, deployment, maintain and usage. How to build cloud platform for traditional software, and how to de...
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With the rising of Cloud computing, evolution have occurred not only in datacenter, but also in software development, deployment, maintain and usage. How to build cloud platform for traditional software, and how to deliver cloud service to users are central research fields which will have a huge impact. In recent years, the development of microservice and container technology make software paradigm evolve towards Cloudware in cloud environment. Cloudware, which is based on service and supported by cloud platform, is an important method to cloudalize traditional software. It is also a significant way for software development, deployment, maintenance and usage in future cloud environment. Furthermore, it creates a completely new thought for software in cloud platform. In this paper, we proposed a new Cloudware PaaS platform based on microservice architecture and light weighted container technology. We can directly deploy traditional software which provides services to users by browser in this platform without any modification. By utilizing the microservice architecture, this platform has the characteristics of scalability, auto-deployment, disaster recovery and elastic configuration.
As a powerful analysis tool of Petri nets, reachability trees are fundamental for systematically investigating many characteristics such as boundedness, liveness and reversibility. This work proposes a method to gener...
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The rise of cloud computing and the Internet not only bring change on the data center, but also lead to transformation in software development, deployment, operation and maintenance. With the continuous improvement of...
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The rise of cloud computing and the Internet not only bring change on the data center, but also lead to transformation in software development, deployment, operation and maintenance. With the continuous improvement of the current cloud computing and the internet environment, how to make better use of cloud computing platform, and how to serve the users is a popular field of computer software is a big challenge. In recent years, with the further development of concepts like micro-services and containers, software will further step forward to the Cloudware. This paper discusses how to deploy Cloudware in cloud environment, and proposes a new method to construct the PaaS platform which can directly deploy software on the cloud without any modification, while achieving a new model by the browser services. By using micro-service architecture, we achieving good performance of extension, scalable deployment, faults tolerance and flexible configuration. Finally, we evaluate this method by constructing a complete framework and carrying out an interactive delay experiment that directly focuses on users' experience, which also shows the effectiveness of this method.
With the explosive growth of Internet information, it is more and more important to fetch real-time and related information. And it puts forward higher requirement on the speed of webpage classification which is one o...
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Web services are basic components constructing a flexible business process software. By composing multiple Web services, a complicated business process across organization and departments can be formed. This paper pre...
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