Results 51 to 60 of about 81,989 (164)
A Sub-Optimal Policy for Connection Admission Control Mechanism in Cognitive Radio Sensor Networks
Satisfying the quality of service (QoS) is a crucial issue in cognitive radio sensor networks (CRSNs) due to the highly variable nature of cognitive radio channels.
Elahe sadat Hosseini, Reza Berangi
doaj
This paper addresses the problem of decision-making support for the modernization of distributed automated control systems (ACS) in power engineering by proposing an integral quality criterion that combines similarity-driven Markov process modeling with ...
Waldemar Wojcik +4 more
doaj +1 more source
A semi-Markov model for price returns
We study the high frequency price dynamics of traded stocks by a model of returns using a semi-Markov approach. More precisely we assume that the intraday return are described by a discrete time homogeneous semi-Markov process and the overnight returns ...
D'Amico, Guglielmo, Petroni, Filippo
core +1 more source
The broadcast nature of communication in transmission media has driven the rise of network coding’s popularity in wireless networks. Numerous benefits arise from employing network coding in multi-hop wireless networks, including enhanced ...
Nastooh Taheri Javan, Zahra Yaghoubi
doaj +1 more source
A Semi-Markov Modulated Interest Rate Model
In this paper we propose a semi-Markov modulated model of interest rates. We assume that the switching process is a semi-Markov process with finite state space E and the modulated process is a diffusive process.
D'Amico, Guglielmo +2 more
core +1 more source
Adaptive Computing Resource Allocation for Mobile Cloud Computing
Mobile cloud computing (MCC) enables mobile devices to outsource their computing, storage and other tasks onto the cloud to achieve more capacities and higher performance.
Hongbin Liang +5 more
doaj +1 more source
Continuous-Observation Partially Observable Semi-Markov Decision Processes for Machine Maintenance [PDF]
Partially observable semi-Markov decision processes (POSMDPs) provide a rich framework for planning under both state transition uncertainty and observation uncertainty. In this paper, we widen the literature on POSMDP by studying discrete-state, discrete-action yet continuous-observation POSMDPs.
Zhang, Mimi, Revie, Matthew
openaire +3 more sources
Asymptotic Expansions for Stationary Distributions of Perturbed Semi-Markov Processes
New algorithms for computing of asymptotic expansions for stationary distributions of nonlinearly perturbed semi-Markov processes are presented. The algorithms are based on special techniques of sequential phase space reduction, which can be applied to ...
A. Hanen +84 more
core +1 more source
Self-Optimizing and Pareto-Optimal Policies in General Environments based on Bayes-Mixtures
The problem of making sequential decisions in unknown probabilistic environments is studied. In cycle $t$ action $y_t$ results in perception $x_t$ and reward $r_t$, where all quantities in general may depend on the complete history.
Hutter, Marcus
core +4 more sources
Managing Wind Power Generation via Indexed Semi-Markov Model and Copula
Because of the stochastic nature of wind turbines, the output power management of wind power generation (WPG) is a fundamental challenge for the integration of wind energy systems into either power systems or microgrids (i.e., isolated systems consisting
Guglielmo D’Amico +3 more
doaj +1 more source

