Zobrazeno 1 - 10
of 602
pro vyhledávání: '"Constantino, M"'
Electric power systems with growing penetration of renewable generation face problems of frequency oscillation and increased uncertainty as the operating point may veer close to instability. Traditionally the stability of these systems is studied eit
Externí odkaz:
http://arxiv.org/abs/2408.00916
Autor:
Sleem, Omar M., Lagoa, Constantino M.
Quantization is the process of mapping an input signal from an infinite continuous set to a countable set with a finite number of elements. It is a non-linear irreversible process, which makes the traditional methods of system identification no longe
Externí odkaz:
http://arxiv.org/abs/2301.12043
Sparsity finds applications in areas as diverse as statistics, machine learning, and signal processing. Computations over sparse structures are less complex compared to their dense counterparts, and their storage consumes less space. This paper propo
Externí odkaz:
http://arxiv.org/abs/2301.12027
Publikováno v:
EURASIP Journal on Advances in Signal Processing, Vol 2024, Iss 1, Pp 1-28 (2024)
Abstract Sparsity finds applications in diverse areas such as statistics, machine learning, and signal processing. Computations over sparse structures are less complex compared to their dense counterparts and need less storage. This paper proposes a
Externí odkaz:
https://doaj.org/article/d1a35b7bfff34e81892fda974729f89c
Publikováno v:
Digital Health, Vol 10 (2024)
Text messages are widely used to deliver intervention content; however, sending more intensive messages may not always improve behavioral outcomes. This study investigated whether message frequency was associated with daily physical activity, either
Externí odkaz:
https://doaj.org/article/3c495fee418049988c8083002c06a569
Publikováno v:
Journal of Physical Activity & Health; Apr2024, Vol. 21 Issue 4, p357-364, 8p
Autor:
Bardakci, Ibrahim E., Hojjatinia, Sahar, Hojjatinia, Sarah, Lagoa, Constantino M., Conroy, David E.
In this work, we have developed a framework for synthesizing data driven controllers for a class of uncertain switched systems arising in an application to physical activity interventions. In particular, we present an application of probabilistic mod
Externí odkaz:
http://arxiv.org/abs/2108.11499
Developing electrophysiological recordings of brain neuronal activity and their analysis provide a basis for exploring the structure of brain function and nervous system investigation. The recorded signals are typically a combination of spikes and no
Externí odkaz:
http://arxiv.org/abs/1910.14098
The paper introduces novel methodologies for the identification of coefficients of switched autoregressive and switched autoregressive exogenous linear models. We consider cases which system's outputs are contaminated by possibly large values of nois
Externí odkaz:
http://arxiv.org/abs/1908.11713
This paper introduces a novel methodology for the identification of switching dynamics for switched autoregressive linear models. Switching behavior is assumed to follow a Markov model. The system's outputs are contaminated by possibly large values o
Externí odkaz:
http://arxiv.org/abs/1903.11058