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An Upgrading Algorithm with Optimal Power Law
2020
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This power law of L is optimal. ...
In this paper, we present an algorithm that produces an upgraded channel Q from W , as a function of PX and the required output alphabet size of Q, denoted L. ...
Our method produces such a Q for which I(P X , Q) − I(P X , W ) = O(L −2/(|X |−1) ) . (2) By [3, Section IV], the above power law of L is optimal. III. ...
doi:10.3929/ethz-b-000402700
fatcat:qthq4axbwffwjpfnd5yiekgd3u
Tunable QoS-aware network survivability
2013
2013 Proceedings IEEE INFOCOM
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Coping with network failures has been recognized as an issue of major importance in terms of social security, stability and prosperity. ...
Then, we establish efficient algorithmic schemes for optimizing the level of survivability under additive end-to-end QoS bounds. ...
For each generated network and survivability level constraint S in the range of [0.9, 1] with intervals of 0.005, we employed the CT-TSMQ Algorithm for the Power-Law class and for the Waxman class. ...
doi:10.1109/infcom.2013.6566883
dblp:conf/infocom/YallouzO13
fatcat:gwpx4ojjz5erxbgv3gzoku3bci
Minimizing the Total Cost of WAMS Using Artificial Electric Field Algorithm
2021
International Journal of Energy
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However, there are several approaches to solve the optimal PMU placement (OPP) with various optimization algorithms. ...
Additionally, the results have been compared with other optimization algorithm, and it demonstrates that the AEFA is efficient to solve the OPP problem. ...
In this paper, the total installation cost of WAMS is considered as objective function to determine the optimal number and location of PMUs in an electrical power system. ...
doi:10.46300/91010.2021.15.9
fatcat:s5oqmbnawffdvcnros3mcpsgbm
Tunable QoS-Aware Network Survivability
2017
IEEE/ACM Transactions on Networking
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Coping with network failures has been recognized as an issue of major importance in terms of social security, stability and prosperity. ...
Then, we establish efficient algorithmic schemes for optimizing the level of survivability under additive end-to-end QoS bounds. ...
For each generated network and survivability level constraint S in the range of [0.9, 1] with intervals of 0.005, we employed the CT-TSMQ Algorithm for the Power-Law class and for the Waxman class. ...
doi:10.1109/tnet.2016.2606342
fatcat:6gkfy4qsqvhhhnmgqio336apuy
Resilient Transmission Grid Design: AC Relaxation vs. DC approximation
[article]
2017
arXiv
pre-print
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.), extreme weather events pose an enormous threat to the electric power transmission systems and the associated socio-economic systems that depend on reliable delivery of electric power. ...
In this paper, we develop a model and tractable methods for optimizing the upgrade of transmission systems through a combination of hardening existing components, adding redundant lines, switches, generators ...
Comparison of total upgrade costs and ψ for optimal upgrade solutions with and without FACTS devices.
TABLE II COMPARISON II OF WALL TIME (SEC.) ...
arXiv:1703.05893v1
fatcat:jplkzumuwvcovnu7r4of5tfera
Communication-Constrained Expansion Planning for Resilient Distribution Systems
[article]
2018
arXiv
pre-print
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The ORDPDC model and branch-and-price algorithm were evaluated on a variety of test cases with varying disaster inten- sities and network topologies. ...
The paper proposes an exact branch-and-price algorithm for the ORDPDC which features a strong lower bound and a variety of acceleration schemes to address degeneracy. ...
The goal of the ORDPDC is to find an optimal upgrade profile for the cyber-physical system G that is resilient with respect to the damage scenarios in D. ...
arXiv:1801.03520v1
fatcat:6wdixktecbgjdlcce2zfp2cbaq
Tunable QoS-Aware Network Survivability
[article]
2016
arXiv
pre-print
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Coping with network failures has been recognized as an issue of major importance in terms of social security, stability and prosperity. ...
Then, we establish efficient algorithmic schemes for optimizing the level of survivability under additive end-to-end QoS bounds. ...
For each generated network and survivability level constraint S in the range of [0.9, 1] with intervals of 0.005, we employed the CT-TSMQ Algorithm for the Power-Law class and for the Waxman class. ...
arXiv:1608.08660v1
fatcat:irr3kx6sqnh7lhnc7kwkdutrg4
Optimizing the Date of an Upgrading Investment in a Data Network
2007
Vehicular Technology Conference-Fall (VTC-FALL), Proceedings, IEEE
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Such upgrades allow them to increase the capacity, and provide adequate Quality of Service (QoS). In this paper we propose a general framework for deriving the optimal date for a network upgrade. ...
The upgrade should hence be performed when the loss of profit, derived using analytical capacity expressions, exceeds the expected discount. ...
The strategy we adopted is: • first, analytically model the operator profit and the customer satisfaction; • second, compute the optimal upgrading date with an actualization algorithm. ...
doi:10.1109/vetecf.2007.40
dblp:conf/vtc/MorlotFE07
fatcat:tar2ze5verasteqi3763ug6x7e
Greedy-Merge Degrading has Optimal Power-Law
[article]
2017
arXiv
pre-print
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This upper bound is within a constant factor of an algorithm-independent lower bound. Thus, we establish that greedy-merge is optimal in the power-law sense. ...
The third result is an efficient algorithm for optimal upgrading, in the binary-input case. That is, we are given a channel and an input distribution. ...
Implicitly, we apply the optimal upgrading algorithm, to get from an alphabet of |Y| output letters to one with |Y| − 1 output letters. ...
arXiv:1703.04923v1
fatcat:6d5mrlz2ffgr7g4czmbkievc3i
It's not easy being green
2012
Computer communication review
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It allows an operator to navigate the threeway tradeoff between access latency, carbon footprint, and electricity costs and to determine an optimal datacenter upgrade plan in response to increases in traffic ...
In this paper, we describe FORTE: Flow Optimization based framework for request-Routing and Traffic Engineering. ...
Such providers can use FORTE as-is to optimize their request-routing algorithms and datacenter upgrades. ...
doi:10.1145/2377677.2377719
fatcat:sd3ayu4kxjhsjgqcuojfirysuy
An Extensive Study on Gravitational Search Algorithm
2022
Materials and its Characterization
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Gravitational search algorithm is a naturally occurring algorithm based on Newton's mathematical model of the law of gravitation and motion. ...
Over the course of a decade, researchers have provided many variants of the gravitational search algorithm by modifying its parameters to effectively solve complex optimization problems. ...
The gravitational search algorithm is a recent natural-inspired algorithm proposed to solve upgrade Problems based on the law of gravity. ...
doi:10.46632/mc/1/1/2
fatcat:n7z6uvvstvfqho2gfyxfwgezb4
Towards self-predicting systems: What if you could ask 'what-if'?
2006
Knowledge engineering review (Print)
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This reactive approach requires expertise regarding of system behavior, making it difficult to deal with unforeseen uses of a system's resources and leading to system unpredictability and large system ...
Through two concrete management problems, automating system upgrades and deciding on service migrations, we identify system design changes that enable a system to answer What...if... questions about itself ...
Operational laws should be used when a new system is built, together with simulation of internal algorithms. ...
doi:10.1017/s0269888906000920
fatcat:h7w2o2z4brelncw5zvrjjg7pne
Forecasting Carbon Emissions Related to Energy Consumption in Beijing-Tianjin-Hebei Region Based on Grey Prediction Theory and Extreme Learning Machine Optimized by Support Vector Machine Algorithm
2018
Energies
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The result of SVM-ELM model was compared with the forecasting results of SVM (Support Vector Machine Algorithm) and ELM (Extreme Learning Machine) algorithm. ...
Secondly, the kernel function of the support vector machine was applied to the extreme learning machine algorithm to optimize the connection weight matrix between the original hidden layer and the output ...
[24] used an improved Gaussian process regression method and particle swarm algorithm to predict carbon emissions. ...
doi:10.3390/en11092475
fatcat:zn3akkqctng53ncc5lldjy3hh4
Housing peak shaving algorithm (HPSA) with plug-in hybrid electric vehicles (PHEVs): Vehicle-to-Home (V2H) and Vehicle-to-Grid (V2G) concepts
2013
4th International Conference on Power Engineering, Energy and Electrical Drives
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In this paper we use Dynamic Programming (DP) algorithm for optimal charged the PEV. ...
This vast deployment will create challenges of integration in the power system. Especially in the residential areas where mostly charging will take place. ...
Offline Online
Optimization problem formulation Consistent with the intended application, the DP algorithm determines the optimal charge power that meets the constraints of the system. ...
doi:10.1109/powereng.2013.6635704
fatcat:5tnoa3yfl5cmhfvtnlv2e3nak4
Chapter 3: Plasma Control in ASDEX Upgrade
2003
Fusion science and technology
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The supervisor is fully integrated with a layered machine protection system. ...
The feedback control algorithm is based on a matrix proportional-integralderivative method, adapted to handle saturation of coil currents, excess of coil forces, or to balance loads among coils. ...
Finally, 14 signals were selected empirically as inputs for statistically determined power law scalings and classification boundaries. An example is given in Fig. 7 . ...
doi:10.13182/fst03-a401
fatcat:bl2vo36lm5eh3mwk4ppax2bzqu
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