With wafer revisit, it is complicated to schedule cluster tools in semiconductor fabrication. In wafer fabrication processes, such as atomic layer deposition (ALD), the wafers need to visit some process modules for a ...
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The world faces an energy problem. Oil supply is gradually running out. Its use is polluting the planet with greenhouse gas. Most alternative energy sources also pose some environmental problems. Hence the efficient u...
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Supervisory control reconfiguration has been paid more attention due to its capacity of handling the uncertainties including resource failures, capability degradation, and task changes in discrete event systems. Howev...
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With the introduction of mobile Ad hoc networks (MANETs), nodes are able to participate in a dynamic network which lacks an underlying infrastructure. Before two nodes agree to interact, they must trust that each will...
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With the introduction of mobile Ad hoc networks (MANETs), nodes are able to participate in a dynamic network which lacks an underlying infrastructure. Before two nodes agree to interact, they must trust that each will satisfy the security and privacy requirements of the other. In this paper, using the cognition inspired method from the brain informatics (BI), we present a novel approach to improving the search efficiency and scalability of MANETs by clustering nodes based on cognitive trust mechanism. The trust relationship is formed by evaluating the level of trust using Bayesian statistic analysis, and clusters can be formed and maintained autonomously by nodes with only partial knowledge. Simulation experiments show that each node can form and join proper clusters, which improve the interaction performance of the entire network. The essence of the underlying reason is analyzed through the theory of complex networks, revealing great scalability of this method.
Oriented to the goal of high-quality banking softwares, trustworthiness is emerging to be important property. This paper studies how to apply formal methods into the trustworthy property preservation of evolutionary c...
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Cloud computing is an emerging paradigm and it has been accepted and researched widely both in industry and academic fields. Instance-intensive workflows are workflows with a great number of concurrent instances;they ...
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Cloud computing is an emerging paradigm and it has been accepted and researched widely both in industry and academic fields. Instance-intensive workflows are workflows with a great number of concurrent instances;they are typical applications in cloud computing environment. However, cloud resources consist of unreliable servers;it becomes increasingly important to provide reliable scheduling strategy. Considering unreliable cloud resources and QoS requirements of instanceintensive workflows, we propose Trust-drive Minimize Cost Within Deadline (TD-MCWD) scheduling algorithm. On the one hand, the TD-MCWD algorithm staggers deadlines of the large number of concurrent instances of the same nature, expecting to get cheaper and more intensively competitive resources. On the other hand, considering the risk factors on the basis of resource reliability was estimated by trust model, the TD-MCWD algorithm tends to assign the task to the high reliable resource. Simulation experiment shows TD-MCWD algorithm can reduce the rate of delayed instance completion and the average execution cost of successful instance completion. Besides, TD-MCWD has a better load balancing and shows a better performance.
With the development of multimedia technique and social network, the amount of videos has grown rapidly, which brings about an increasingly substantial percentage of Near-Duplicate Videos (NDVs). It has been a hot res...
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A novel approach of rough-fuzzy hybridization is proposed for efficient personalized Web retrieval. Variable precision rough set model is used to discover user preference. Fuzzy sets are incorporated to take care of t...
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A novel approach of rough-fuzzy hybridization is proposed for efficient personalized Web retrieval. Variable precision rough set model is used to discover user preference. Fuzzy sets are incorporated to take care of the real-valued weights in each document vector. Discerning keywords are identified to refine a query for more focused representation. To further filter out irrelevant documents for the user, retrieved results are re-ranked according to rough similarity measures. Experiments compared with traditional search engine are presented and experimental results indicate the performance of document retrieval is greatly improved.
This work presents a method to detect the size and location of tumor in soft tissues using ultrasound. Quantitative ultrasound is utilized to allow an ultrasound signal to be sent from a transmitter to multiple receiv...
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In this paper, the synchronization problem for linearly coupled complex networks is investigated, which is denoted by ordinary differential equations with complex-values. The coupling topology can be asymmetric, and t...
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ISBN:
(纸本)9781467391054
In this paper, the synchronization problem for linearly coupled complex networks is investigated, which is denoted by ordinary differential equations with complex-values. The coupling topology can be asymmetric, and the time delay also exists in the network model. By pinning some external aperiodically intermittent control on the network nodes, we will prove that under some conditions, the complete synchronization will be finally realized exponentially. Moreover, applying the adaptive technique on the coupling strength, we will also present an adaptive rule, whose validity is rigorously proved. Finally, some numerical simulations will be given to illustrate the correctness of these obtained results.
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