The Experts below are selected from a list of 141519 Experts worldwide ranked by ideXlab platform
J.s. Turner - One of the best experts on this subject based on the ideXlab platform.
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Multicast routing and bandwidth dimensioning in overlay networks
IEEE Journal on Selected Areas in Communications, 2002Co-Authors: S Y Shi, J.s. TurnerAbstract:Multicast services can be provided either as a basic network service or as an application-Layer service. Higher level multicast implementations often provide more sophisticated features and can provide multicast services at places where no network Layer Support is available. Overlay multicast networks offer an intermediate option, potentially combining the flexibility and advanced features of application Layer multicast with the greater efficiency of network Layer multicast. In this paper, we introduce the multicast routing problem specific to the overlay network environment and the related capacity assignment problem for overlay network planning. Our main contributions are the design of several routing algorithms that optimize the end-to-end delay and the interface bandwidth usage at the multicast service nodes within the overlay network. The interface bandwidth is typically a key resource for an overlay network provider, and needs to be carefully managed in order to maximize the number of users that can be served. Through simulations, we evaluate the performance of these algorithms under various traffic conditions and on various network topologies. The results show that our approach is cost-effective and robust under traffic variations.
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Routing in overlay multicast networks
Proceedings.Twenty-First Annual Joint Conference of the IEEE Computer and Communications Societies, 2001Co-Authors: S Y Shi, J.s. TurnerAbstract:Multicast services can be provided either as a basic network service or as an application-Layer service. Higher level multicast implementations often provide more sophisticated features, and can provide multicast services, where no network Layer Support is available. Overlay multicast networks offer an intermediate option, potentially combining the flexibility and advanced features of application Layer multicast with the greater efficiency of network Layer multicast. Overlay multicast networks play an important role in the Internet. Indeed, since Internet Service Providers have been slow to enable IP multicast in their networks, Internet multicast is only widely available as an overlay service. This paper introduces several routing algorithms that are suitable for overlay multicast networks and evaluates their performance. The algorithms seek to optimize the end-to-end delay and the interface bandwidth usage at the routing sites within the overlay network. The interface bandwidth is typically a key resource for an overlay network provider, and needs to be carefully managed in order to maximize the number of sessions that can be served. The simultaneous optimization of both delay and bandwidth is an NP-hard problem. We propose several heuristic algorithms and simulate their performance under various traffic conditions and on various network topologies.
Reijo Kakela - One of the best experts on this subject based on the ideXlab platform.
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stratification composition and function of marine mammal blubber the ecology of fatty acids in marine mammals
Physiological and Biochemical Zoology, 2008Co-Authors: Ursula Strandberg, Christian Lydersen, Kit M. Kovacs, Anne Kakela, Otto Grahlnielsen, Heikki Hyvarinen, Reijo KakelaAbstract:Abstract This study of vertical fatty acid profiles, based on analysis of 58 fatty acids sampled at 3‐mm intervals throughout the blubber column of a model marine mammal, the ringed seal (Pusa hispida), revealed three chemically distinct Layers. The average depths of the outer and inner Layers were quite consistent (∼1.5 and ∼1 cm, respectively). Consequently, the middle Layer varied greatly in thickness, from being virtually absent in the thinnest animals to 2.5 cm thick in the fattest. The relative consistencies of the thickness and composition of the Layers as well as the nature of the fatty acids making up each Layer Support the generally assumed function of the various Layers: (1) the outer Layer is primarily structural and thermoregulatory, (2) the inner Layer is metabolically active with a fatty acid composition that is strongly affected by recent/ongoing lipid mobilization/deposition, and (3) the middle Layer is a storage site that contracts and expands with food availability/consumption. The rema...
S Y Shi - One of the best experts on this subject based on the ideXlab platform.
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Multicast routing and bandwidth dimensioning in overlay networks
IEEE Journal on Selected Areas in Communications, 2002Co-Authors: S Y Shi, J.s. TurnerAbstract:Multicast services can be provided either as a basic network service or as an application-Layer service. Higher level multicast implementations often provide more sophisticated features and can provide multicast services at places where no network Layer Support is available. Overlay multicast networks offer an intermediate option, potentially combining the flexibility and advanced features of application Layer multicast with the greater efficiency of network Layer multicast. In this paper, we introduce the multicast routing problem specific to the overlay network environment and the related capacity assignment problem for overlay network planning. Our main contributions are the design of several routing algorithms that optimize the end-to-end delay and the interface bandwidth usage at the multicast service nodes within the overlay network. The interface bandwidth is typically a key resource for an overlay network provider, and needs to be carefully managed in order to maximize the number of users that can be served. Through simulations, we evaluate the performance of these algorithms under various traffic conditions and on various network topologies. The results show that our approach is cost-effective and robust under traffic variations.
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Routing in overlay multicast networks
Proceedings.Twenty-First Annual Joint Conference of the IEEE Computer and Communications Societies, 2001Co-Authors: S Y Shi, J.s. TurnerAbstract:Multicast services can be provided either as a basic network service or as an application-Layer service. Higher level multicast implementations often provide more sophisticated features, and can provide multicast services, where no network Layer Support is available. Overlay multicast networks offer an intermediate option, potentially combining the flexibility and advanced features of application Layer multicast with the greater efficiency of network Layer multicast. Overlay multicast networks play an important role in the Internet. Indeed, since Internet Service Providers have been slow to enable IP multicast in their networks, Internet multicast is only widely available as an overlay service. This paper introduces several routing algorithms that are suitable for overlay multicast networks and evaluates their performance. The algorithms seek to optimize the end-to-end delay and the interface bandwidth usage at the routing sites within the overlay network. The interface bandwidth is typically a key resource for an overlay network provider, and needs to be carefully managed in order to maximize the number of sessions that can be served. The simultaneous optimization of both delay and bandwidth is an NP-hard problem. We propose several heuristic algorithms and simulate their performance under various traffic conditions and on various network topologies.
Ursula Strandberg - One of the best experts on this subject based on the ideXlab platform.
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stratification composition and function of marine mammal blubber the ecology of fatty acids in marine mammals
Physiological and Biochemical Zoology, 2008Co-Authors: Ursula Strandberg, Christian Lydersen, Kit M. Kovacs, Anne Kakela, Otto Grahlnielsen, Heikki Hyvarinen, Reijo KakelaAbstract:Abstract This study of vertical fatty acid profiles, based on analysis of 58 fatty acids sampled at 3‐mm intervals throughout the blubber column of a model marine mammal, the ringed seal (Pusa hispida), revealed three chemically distinct Layers. The average depths of the outer and inner Layers were quite consistent (∼1.5 and ∼1 cm, respectively). Consequently, the middle Layer varied greatly in thickness, from being virtually absent in the thinnest animals to 2.5 cm thick in the fattest. The relative consistencies of the thickness and composition of the Layers as well as the nature of the fatty acids making up each Layer Support the generally assumed function of the various Layers: (1) the outer Layer is primarily structural and thermoregulatory, (2) the inner Layer is metabolically active with a fatty acid composition that is strongly affected by recent/ongoing lipid mobilization/deposition, and (3) the middle Layer is a storage site that contracts and expands with food availability/consumption. The rema...
Peng Chen - One of the best experts on this subject based on the ideXlab platform.
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A New Rotation Machinery Fault Diagnosis Method Based on Deep Structure and Sparse Least Squares Support Vector Machine
IEEE Access, 2019Co-Authors: Ke Li, Rui Zhang, Fucai Li, Lei Su, Huaqing Wang, Peng ChenAbstract:In this paper, a fault diagnosis method that is based on the deep structure and the sparse least squares Support vector machine (SLSSVM) is proposed. This method constructs the structure of a multi-Layer Support vector machine (SVM). First, the SVM on the first Layer is trained by using the training samples, and it learns the shallow features of the data. Then, the “feature extraction formula” is used to generate a new expression of the sample, which is used as input of the next Layer. The new Layer of the SVM trains on the new sample, and it extracts and learns the deep features of the signal Layer by Layer; eventually, after multiple feature mapping, it outputs the diagnostic results on the last Layer. Because of the deep structure, the algorithm complexity and operation time increase. Therefore, in this paper, the least squares Support vector machine (LSSVM) is combined with the sparse theory. By constructing the approximate maximal linearly independent vector set in the feature space, we conduct the sparse expression of samples and obtain the discriminant function for classification, which effectively solves the problem of sparsity deficiency for the LSSVM. Last, the method is used to diagnose centrifugal pump faults and rolling bearing faults and compares with the several methods of the SVM, the SLSSVM, deep SVM, and convolutional neural networks. The diagnostic results indicate that the method in this paper has good performance.