Results 31 to 40 of about 81,989 (164)

Learning to maximize reward rate: a model based on semi-Markov decision processes

open access: yesFrontiers in Neuroscience, 2014
When animals have to make a number of decisions during a limited time interval, they face a fundamental problem: how much time they should spend on each decision in order to achieve the maximum possible total outcome.
Arash eKhodadadi   +2 more
doaj   +1 more source

Improving Power and Resource Management in Heterogeneous Downlink OFDMA Networks

open access: yesInformation, 2020
In the past decade, low power consumption schemes have undergone degraded communication performance, where they fail to maintain the trade-off between the resource and power consumption.
Nalliyanna Goundar Veerappan Kousik   +4 more
doaj   +1 more source

Method of Building a Model of Operational Changes for the Marine Combustion Engine Describing the Impact of the Damages of This Engine on the Characteristics of Its Operation Process

open access: yesPolish Maritime Research, 2017
This article deals with the modeling of the processes of operating both marine main and auxiliary engines. The paper presents a model of changes in operating conditions of ship’s internal combustion engine.
Landowski Bogdan   +3 more
doaj   +1 more source

Availability analysis of mechanical systems with condition-based maintenance using semi-Markov and evaluation of optimal condition monitoring interval

open access: yesJournal of Industrial Engineering International, 2017
Maintenance helps to extend equipment life by improving its condition and avoiding catastrophic failures. Appropriate model or mechanism is, thus, needed to quantify system availability vis-a-vis a given maintenance strategy, which will assist in ...
Girish Kumar, Vipul Jain, O. P. Gandhi
doaj   +1 more source

Towards Analysis of Semi-Markov Decision Processes [PDF]

open access: yes, 2010
We investigate Semi-Markov Decision Processes (SMDPs). Two problems are studied, namely, the time-bounded reachability problem and the long-run average fraction of time problem. The former aims to compute the maximal (or minimum) probability to reach a certain set of states within a given time bound.
Taolue Chen, Jian Lu
openaire   +1 more source

Time series semi-Markov decision process with variable costs for maintenance planning [PDF]

open access: yes, 2016
Deciding when and how to maintain offshore wind turbines is becoming even more complex as the size of wind farms increases, while accessibility is challenging compared to onshore wind farms.
Dawid, R., McMillan, D., Revie, M.
core  

To overhear or not to overhear: a dilemma between network coding gain and energy consumption in multi-hop wireless networks

open access: yes, 2018
Any properly designed network coding technique can result in increased throughput and reliability of multi-hop wireless networks by taking advantage of the broadcast nature of wireless medium.
Dehghan, Mehdi   +2 more
core   +1 more source

An Optimal Opportunistic Maintenance Planning Integrating Discrete- and Continuous-State Information

open access: yesMathematics, 2023
Information-driven group maintenance is crucial to enhance the operational availability and profitability of diverse industrial systems. Existing group maintenance models have primarily concentrated on a single health criterion upon maintenance ...
Fanping Wei   +4 more
doaj   +1 more source

Optimal Control of Partially Observable Piecewise Deterministic Markov Processes

open access: yes, 2018
In this paper we consider a control problem for a Partially Observable Piecewise Deterministic Markov Process of the following type: After the jump of the process the controller receives a noisy signal about the state and the aim is to control the ...
Bäuerle, Nicole, Lange, Dirk
core   +1 more source

Inference Strategies for Solving Semi-Markov Decision Processes

open access: yes, 2012
Semi-Markov decision processes are used to formulate many control problems and also play a key role in hierarchical reinforcement learning. In this chapter we show how to translate the decision making problem into a form that can instead be solved by inference and learning techniques.
Hoffman, M, de Freitas, N
openaire   +2 more sources

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