Πλοήγηση ανά Θέμα "Stochastic systems"
Αποτελέσματα 21-40 από 41
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Output-only schemes for joint input-state-parameter estimation of linear systems
(2015)The subject of predicting structural response, for control or fatigue assessment purposes, via output only vibration measurements is an emerging topic of Structural Health Monitoring. The subject of estimation of the states ... -
Performance Analysis of Multi-Reconfigurable Intelligent Surface-Empowered THz Wireless Systems
(2022)In this paper, we introduce a theoretical framework for analyzing the performance of multi-reconfigurable intelligence surface (RIS) empowered terahertz (THz) wireless systems subject to turbulence and stochastic beam ... -
Planning of dynamic mobile optical virtual network infrastructures supporting cloud services
(2014)This paper proposes a next generation ubiquitous converged infrastructure to support Cloud and mobile Cloud computing services. The proposed infrastructure facilitates interconnection of fixed and mobile end users with ... -
Probabilistic method for estimation of spinning reserves in multi-connected power systems with Bayesian network-based rescheduling algorithm
(2019)This study proposes a new stochastic spinning reserve estimation model applicable to multi-connected energy systems with reserve rescheduling algorithm based on Bayesian Networks. The general structure of the model is ... -
Random vibration of linear systems with singular matrices based on Kronecker canonical forms of matrix pencils
(2021)A novel technique is developed for determining the stochastic response of linear dynamic systems with singular parameter matrices based on matrix pencil theoretical concepts and relying on Kronecker canonical forms (KCF). ... -
Recent Dimensionality Reduction Techniques for High-Dimensional COVID-19 Data
(2022)We are going through the last years of the COVID-19 pandemic, where almost the entire research community has focused on the challenges that constantly arise. From the computational and mathematical perspective, we have to ... -
Reliability analysis of dynamical systems
(2019)The use of reduced-order models in the context of reliability analysis of dynamical systems under stochastic excitation is explored in this chapter. A stochastic excitation model based on a point-source model is introduced, ... -
Reliability sensitivity analysis of dynamical systems
(2019)The reliability sensitivity analysis of systems subjected to stochastic loading is considered in this chapter. In particular, the change that the probability of failure undergoes due to changes in the distribution parameters ... -
Reliability sensitivity analysis of stochastic finite element models
(2015)This contribution presents a scheme for integrating a model reduction technique into a simulation-based method for reliability sensitivity analysis of a class of medium/large nonlinear finite element models under stochastic ... -
Reliability-based design optimization
(2019)The solution of reliability-based design optimization problems by using reduced-order models is considered in this chapter. Specifically, problems involving high-dimensional stochastic dynamical systems are analyzed. The ... -
Risk analysis framework for the optimum remediation of a contaminated aquifer under uncertainty: application in Lake Karla aquifer, Thessaly, Greece
(2022)A risk analysis framework is proposed for the optimum remediation of a contaminated aquifer under hydrogeological uncertainty. The limited information and the spatial variation of hydraulic conductivity in a real-world ... -
Scalable and Adaptive Polling Protocol for ConcurrentWireless Sensor Data Flows
(2018)The uncoordinated transmission of sensor measure- ments to a collector over simple wireless technologies can lead to severely degraded performance when operating close to channel capacity. In this case, it can be far more ... -
Simulation of random fields of soil properties by the local average subdivision method and engineering applications
(2021)The seismic performance of oil and natural gas pipelines founded or embedded in earth slopes encompasses great uncertainty related both to the earthquake shaking characteristics and to the natural heterogeneity of geomaterials. ... -
A stochastic approach to evaluating the economic impact of disruptions in feedstock pipelines on downstream production
(2022)Reliability of feedstock supply is an important consideration for enhancing the safety and continuous operation of chemical plants. A critical component of the chemical and refining sectors is the extensive pipeline network ... -
Stochastic Heuristic Optimization of Machine Learning Estimators for Short-Term Wind Power Forecasting
(2022)The continuous fluctuation of wind speed, wind direction and other climatic variables affects the power produced by wind turbines. Accurate short-term wind power prediction models are vital for the power industry to evaluate ... -
A stochastic optimization framework for the restoration of an over-exploited aquifer
(2016)This study investigates the impact of hydraulic conductivity uncertainty on the sustainable management of the aquifer of Lake Karla, Greece, using the stochastic optimization approach. The lack of surface water resources ... -
Stochastic Optimization Model for Short-term Planning of Tanker Water Supply Systems in Urban Areas
(2022)Tanker-based water distribution systems are amongst one of the most prevalent methods to supply water in many developing countries facing water crisis and intermittent piped water supply. These tanker water supply systems ... -
A stochastic simulation model for the efficacy of vaccination against Mycobacterium avium subsp. paratuberculosis in dairy sheep and goats
(2015)We assessed the benefits of vaccination against Mycobacterium avium subsp. paratuberculosis (MAP) on the average daily milk yield (DMY) of sheep and goat flocks. A stochastic simulation model was used to estimate the DMY ... -
Uncertainty calibration of large-order models of bridges using ambient vibration measurements
(2014)A computational efficient Bayesian inference framework based on stochastic simulation algorithms is presented for calibrating the parameters of large-order linear finite element (FE) models of bridges. The effectiveness ... -
Vibration-Based Damage Detection Framework of Large-Scale Structural Systems
(2022)The main objective of this work is to present a vibration-based damage estimation framework for structural systems by integrating vibration experimental measurements in a high-fidelity, large-scale, finite element (FE) ...