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A monitoring infrastructure for the quality assessment of cloud services
(Springer Nature, 2016)
Service Level Agreements (SLAs) specify the strict terms under which
cloud services must be provided. The assessment of the quality of services being
provided is critical for both clients and service providers. In this ...
Monitoring cloud services through models at runtime: a case in an ambient assisted living environment
(2022)
Ambient Assisted Living (AAL) has become an important domain that provides software systems and services to support and improve people’s daily quality of life. Yet, it has not achieved large market penetration. Existing ...
Practical use of the ISCST3 model to select monitoring site locations for air pollution control
(Inderscience Enterprises, 2000-05)
We present an objective methodology for selection of the minimum number of sampling sites required to register the highest concentration values of air pollutants emitted from a continuous point source. The methodology is ...
Autoregressive model extrapolation using cubic splines for damage progression analysis
(2021-01-01)
The application of Structural Health Monitoring (SHM) methods focuses mainly on its initial levels of the hierarchy of damage identification. The contribution of this paper is to propose a new strategy that allows going ...
Detecting and monitoring change in models
(John Wiley & Sons, Ltd., 2008)
Explicit and implicit monitoring in neurodegeneration and stroke.
Monitoring is a complex multidimensional neurocognitive phenomenon. Patients with fronto-insular stroke (FIS), behavioural variant frontotemporal dementia (bvFTD) and Alzheimer’s disease (AD) show a lack of self-awareness, ...
Explicit and implicit monitoring in neurodegeneration and stroke.
Monitoring is a complex multidimensional neurocognitive phenomenon. Patients with fronto-insular stroke (FIS), behavioural variant frontotemporal dementia (bvFTD) and Alzheimer’s disease (AD) show a lack of self-awareness, ...
Data-driven autoregressive model identification for structural health monitoring in anisotropic composite plates
(2019-01-01)
A simple data-driven AutoRegressive (AR) model may be used to assess a model to describe and to predict the time-series outputs of the PZT sensors receiving Lamb waves for different operating conditions in composite ...
Application of Volterra series in nonlinear mechanical system identification and in structural health monitoring problems
(Universidade Estadual Paulista (Unesp), 2016-03-04)
Nonlinear structures are frequent in structural dynamics, specially considering screwed components, with joints, clearance or flexible components presenting large displacements. In this sense the monitoring of systems based ...