In this paper, we present Queue Length based Fair Queueing (QLFQ), a scheme to approximate fair bandwidth allocation without per-flow state. We have evaluated QLFQ together with CSFQ and RFQ with several different con...
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In the literature of voice conversion(VC),the method based on statistical Gaussian mixture model(GMM)serves as a ***,one of the inherent drawbacks of GMM is well-known as discontinuity problem,which is caused by trans...
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In the literature of voice conversion(VC),the method based on statistical Gaussian mixture model(GMM)serves as a ***,one of the inherent drawbacks of GMM is well-known as discontinuity problem,which is caused by transforming features on a frame-by-frame basis,thus ignoring the dynamics between adjacent frames and fnally resulting in degraded quality of the converted speech.A variety of algorithms have been proposed to overcome this defciency,among which the state space model(SSM)based method provides some promising *** this paper,we proceed by presenting an enhanced version of the traditional SSM,namely,the switching SSM(SSSM).This new structure is more flexible than the conventional one in that it allows using mixture of components to account for the rapid transitions between neighboring ***,physical meaning of the model parameters of SSSM has been examined in depth,leading to efcient application-specifc training and transforming procedures of *** including both objective and subjective measurements were conducted to compare the performances of the conventional and the proposed SSM-based methods,which have convinced that obvious improvements in both aspects of similarity and quality can be obtained by SSSM.
In this paper,two methods are proposed to embed visual watermark into direct binary search(DBS)halftone images,which are called Adjusted Direct Binary Search(ADBS)and Dual Adjusted Direct Binary Search(DADBS).DADBS is...
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In this paper,two methods are proposed to embed visual watermark into direct binary search(DBS)halftone images,which are called Adjusted Direct Binary Search(ADBS)and Dual Adjusted Direct Binary Search(DADBS).DADBS is an improved version of *** using the proposed methods,the visual watermark will be embedded into two halftone images separately,thus,the watermark can be revealed when these two halftone images are *** results show that both methods can achieve excellent image visual quality and decoded visual patterns.
Routing security is an important issue in secure ad hoc networks, and it appears to be a problem that is not trivial to solve. In this paper, we consider secure routing protocol and applied new cryptographic mechanism...
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Routing security is an important issue in secure ad hoc networks, and it appears to be a problem that is not trivial to solve. In this paper, we consider secure routing protocol and applied new cryptographic mechanism: multi-signcryption to routing protocol for ad hoc networks. SL multi-signcryption scheme efficiently provides message flexibility, order flexibility, message verifiability, order verifiability, message confidentiality, message unforgeability, non-repudiation and robustness. It is suitable for protecting messages and multi-signers from malicious attacks in networks. For this reason, using SL multi-signcryption, we propose a new secure AODV (Ad hoc on-demand distance vecter) routing protocol: SCRP (Signcryption based routing protocol). SCRP indeed enhances the security of AODV routing protocol and provides confidentiality, integrity, authentication, and non-repudiation to the routing message. Moreover, compared with other secure AODV, SCRP provides some other advantages such as lower computational cost and communicational overhead, flexibility of route message, and partially anonymous route.
The growth of network coding opportunities is considered the unique optimization goal by most current network coding based routing algorithms for wireless mesh networks. This usually results in flows aggregation probl...
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The growth of network coding opportunities is considered the unique optimization goal by most current network coding based routing algorithms for wireless mesh networks. This usually results in flows aggregation problem in areas with coding opportunities, and degrades the network performance. This paper proposes a Load balanced coding aware multipath routing(LCMR)for wireless mesh networks. To facilitate the evaluation of discovered multiple paths and the tradeoffs between coding opportunity and load balancing, a novel routing metric, Load balanced coding aware routing metric(LCRM) is presented, which considers the load degree of nodes when detects coding opportunities. LCMR could spread traffic over multipath to further balance load. Simulation results demonstrate that LCMR could evenly spread the traffic over the network with increasing network throughput in a heavy load at the expense of some coding opportunities.
This paper proposed a multi-domain virtual network embedding algorithm based on multi-controller SDN architecture. The local controller first selects candidate substrate nodes for each virtual node in the domain. Then...
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This paper proposed a multi-domain virtual network embedding algorithm based on multi-controller SDN architecture. The local controller first selects candidate substrate nodes for each virtual node in the domain. Then the global controller abstracts substrate network topology based on the candidate nodes and boundary nodes of each domain, and applies Particle Swarm Optimization Algorithm on it to divide virtual network requests. Each local controller then embeds the virtual nodes of the divided single-domain virtual network requests in the domain, and cooperates with other local controllers to embed the inter-domain virtual links. Simulation experimental results show that the proposed algorithm has good performance in reducing embedding cost with good stability and scalability.
In this paper,we regard the nonlinear feedback shift register(NLFSR)as a special Boolean network,and use semi-tensor product of matrices and matrix expression of logic to convert the dynamic equations of NLFSR into an...
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In this paper,we regard the nonlinear feedback shift register(NLFSR)as a special Boolean network,and use semi-tensor product of matrices and matrix expression of logic to convert the dynamic equations of NLFSR into an equivalent algebraic *** on them,we propose some novel and generalized techniques to study ***,a general method is presented to solve an open problem of how to obtain the properties(the number of fixed points and the cycles with different lengths)of the state sequences produced by a given NLFSR,i.e.,the analysis of a given *** then show how to construct all 22n-(l-n)/22n-lshortest n-stage feedback shift registers(nFSR)and at least 22n-(l-n)-1/22n-l-1shortest n-stage nonlinear feedback shift registers(nNLFSR)which can output a given nonperiodic/periodic sequence with length ***,we propose two novel cycles joining algorithms for the construction of full-length ***,two algorithms are presented to construct 22n-2-1different full-length nNLFSRs,respectively.
Mobile anchor assisted localization methods for wireless sensor networks can decrease the cost while improving the accuracy,and the moving trajectory is an interesting and basic issue in this kind of *** paper propose...
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ISBN:
(纸本)9781467349994
Mobile anchor assisted localization methods for wireless sensor networks can decrease the cost while improving the accuracy,and the moving trajectory is an interesting and basic issue in this kind of *** paper proposes the regular polygon path derived from Circle,which is the best determined *** upper-bound of the polygon and the localization scheme are presented,and the performance is evaluated by simulations.
Mutual transfer learning aims to improve prediction with knowledge from related domains. Recently, federated learning is applied in this field to address the communication and privacy concerns. However, previous clust...
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Mutual transfer learning aims to improve prediction with knowledge from related domains. Recently, federated learning is applied in this field to address the communication and privacy concerns. However, previous clustered federated learning (CFL) solutions lack theoretical guarantee of learnability recovery and require time-consuming hyper-parameter tuning, while centralized mutual transfer learning methods lack adaptability to concept drifts. In this paper, we propose the Adaptive Group Personalization method (AdaGrP) to overcome these challenges. We adaptively decide the recovery threshold with a nonparametric method, adaptive threshold correction, for tuning-free solution with relaxed condition. Theoretical results guarantee the perfect learnability recovery with the corrected threshold. Empirical results show AdaGrP achieves 16.9% average improvement in learnability structure recovery compared with state-of-the-art CFL baselines. Copyright 2024 by the author(s)
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