Hizanidis J.,National Center for Scientific |
Kanas V.G.,University of Patras |
Bezerianos A.,National University of Singapore |
Bountis T.,University of Patras
2014 13th International Conference on Control Automation Robotics and Vision, ICARCV 2014 | Year: 2014
In a recent work, we have studied networks of two-dimensional and three-dimensional Hindmarsh-Rose oscillators and have discovered some very interesting oscillatory phenomena, called chimera states, in which synchronized neuronal ensembles coexist with completely asynchronous ones. In this paper, we summarize our work in connection with other studies on nonlocally coupled FitzHugh-Nagumo oscillators, examine the occurrence of chimera states in coupled bistable elements and point out that mixed oscillatory states also exist, in which desynchronized neurons are interspersed among neurons that oscillate in synchronous fashion. We also demonstrate, by a preliminary study, that it is possible to control these states by varying an external current parameter applied to the main potential variable in order to observe new phenomena that may be relevant in neuroscience applications. © 2014 IEEE.
Tsiakas K.,University of Texas at Arlington |
Watts L.,University of Texas at Arlington |
Lutterodt C.,University of Texas at Arlington |
Giannakopoulos T.,National Center for Scientific |
And 4 more authors.
8th ACM International Conference on PErvasive Technologies Related to Assistive Environments, PETRA 2015 - Proceedings | Year: 2015
In this paper, we present an Adaptive Multimodal Dialogue System for Depressive and Anxiety Disorders Screening (DADS). The system interacts with the user through verbal and non-verbal communication to elicit the information needed to make referrals and recommendations for depressive and anxiety disorders while encouraging the user and keeping them calm. We designed the problem using interconnected Markov Decision Processes using sub-goals to deal with the large state space. We present the problem formulation and the experimental procedure for the training data collection and the system training following the methodology of Wizard-of-Oz experiments. © 2015 ACM.
Marcoulaki E.C.,National Center for Scientific |
Papazoglou I.A.,National Center for Scientific
Computer Aided Chemical Engineering | Year: 2010
This work proposes new multiple objective optimization (MOO) technology, using a Monte Carlo-based algorithm stemmed from simulated annealing (SA). Since the expected result in MOO tasks is usually a set of Pareto-optimal solutions, the optimization problem states assumed here are themselves sets of solutions. The stochastic search follows a series of reversible state transitions at constant probability, to enjoy convergence properties of stationary Markov processes. The proposed technology is tested against the optimal design of a process system involving equipment placed in a serial/parallel arrangement, with three optimization objectives: the system cost, reliability and weight. © 2010 Elsevier B.V.