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Towards Network-Wide Scheduling for Cyclic Traffic in IP-based Deterministic Networks
2021 4th International Conference on Hot Information-Centric Networking (HotICN), 2021The emerging time-sensitive applications, such as industrial automation, smart grids, and telesurgery, pose strong demands for enabling large-scale IP-based deterministic networks. The IETF DetNet working group recently proposes a Cycle Specified Queuing
Yudong Huang +6 more
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IEEE Transactions on Systems, Man and Cybernetics, 1991
In the contemporary literature on deterministic machine scheduling, problems are formulated from three different, but equivalent, perspectives. Algebraic models provide a rigorous problem statement in the language of set theory and are typical of the ...
R. Rogers, K. White
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In the contemporary literature on deterministic machine scheduling, problems are formulated from three different, but equivalent, perspectives. Algebraic models provide a rigorous problem statement in the language of set theory and are typical of the ...
R. Rogers, K. White
semanticscholar +1 more source
Deterministic Rendezvous Algorithms
Distributed Computing by Mobile Entities, 2023The task of rendezvous (also called gathering) calls for a meeting of two or more mobile entities, starting from different positions in some environment. Those entities are called mobile agents or robots, and the environment can be a network modeled as a
A. Pelc
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International Conference on Wireless Communications and Mobile Computing, 2020
The development of edge computing has alleviated the problem of limited vehicular computing capabilities in VANET. The vehicular edge computing (VEC) provide resources for the implementation of multiple intelligent services.
Yinlin Ren +4 more
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The development of edge computing has alleviated the problem of limited vehicular computing capabilities in VANET. The vehicular edge computing (VEC) provide resources for the implementation of multiple intelligent services.
Yinlin Ren +4 more
semanticscholar +1 more source
IEEE Transactions on Neural Networks and Learning Systems, 2019
In this article, a deterministic annealing neural network algorithm is proposed to solve the minimum concave cost transportation problem. Specifically, the algorithm is derived from two neural network models and Lagrange–barrier functions.
Zhengtian Wu, H. Karimi, C. Dang
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In this article, a deterministic annealing neural network algorithm is proposed to solve the minimum concave cost transportation problem. Specifically, the algorithm is derived from two neural network models and Lagrange–barrier functions.
Zhengtian Wu, H. Karimi, C. Dang
semanticscholar +1 more source
Electric power components and systems, 2019
This article studies deterministic and stochastic algorithms for placing minimum number of phasor measurement units (PMUs) in a power system in order to locate any fault in the power system.
Nikolaos P. Theodorakatos
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This article studies deterministic and stochastic algorithms for placing minimum number of phasor measurement units (PMUs) in a power system in order to locate any fault in the power system.
Nikolaos P. Theodorakatos
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IEEE Transactions on Mobile Computing
In this paper, we present a three-layer (i.e., device, field, and factory layers) deterministic federated learning (FL) framework, named DetFed, which accelerates collaborative learning process for ultra-reliable and low-latency industrial Internet of ...
Dong Yang +7 more
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In this paper, we present a three-layer (i.e., device, field, and factory layers) deterministic federated learning (FL) framework, named DetFed, which accelerates collaborative learning process for ultra-reliable and low-latency industrial Internet of ...
Dong Yang +7 more
semanticscholar +1 more source
, 2015
This paper formulates a fractal-tree network model to address the challenging problem of characterizing the hydraulic fracture network in unconventional reservoirs.
Wendong Wang +4 more
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This paper formulates a fractal-tree network model to address the challenging problem of characterizing the hydraulic fracture network in unconventional reservoirs.
Wendong Wang +4 more
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Deterministic and Stochastic İnventory Models in Production Systems: a Review of the Literature
Process Integration and Optimization for Sustainability, 2022Germán Herrera Vidal
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