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  • Development of a Novel Optimal Backstepping Control Algorithm of Magnetic Impeller-Bearing System for Artificial Heart Ventricle Pump
    Cybern. Syst. (IF 1.681) Pub Date : 2020-05-23
    Amjad J. Humaidi; Saleem Khalefa Kadhim; Ahmed Sharhan Gataa

    In this work, a new backstepping control algorithm is developed for accurate suspension of the rotating impeller in the artificial heart based on supported magnetic suspension system. The magnet suspension system of the artificial heart ventricle consists mainly of the proposed controller and magnetic coils. The controller is used to actuate the magnetic coils with required currents to establish the

  • Using Rhythm Network to Enhance Courses Engineering in E-Learning Environments
    Cybern. Syst. (IF 1.681) Pub Date : 2020-05-23
    Guillaume Blot; Francis Rousseaux

    We present the leading experiment that helps designing the Rhythm Network. The model diverges from typical time graphs and is not explicitly helpful for longitudinal studies. However, the objective is to design sequences of events, inserted into a graph depending on their place on a timeline. This experiment shows how the model can help engineering courses in an e-learning environment. Rhythm is fundamental

  • Flexible Distribution-Based Regression Models for Count Data: Application to Medical Diagnosis
    Cybern. Syst. (IF 1.681) Pub Date : 2020-05-19
    Pantea Koochemeshkian; Nuha Zamzami; Nizar Bouguila

    Data mining techniques have been successfully utilized in different applications of significant fields, including medical research. With the wealth of data available within the health-care systems, there is a lack of practical analysis tools to discover hidden relationships and trends in data. The complexity of medical data that is unfavorable for most models is a considerable challenge in prediction

  • Counterexamples to the Maximum Speed/Energy IMC Theory – A New Geometric Consideration Incorporates the Multivariable Perfect Control Defined in the LTI Discrete-Time State-Space Framework
    Cybern. Syst. (IF 1.681) Pub Date : 2020-05-14
    Wojciech P. Hunek; Tomasz Feliks

    In this paper, the counterexamples to the general theory related to the state-feedback IMC plants are given and investigated. It is shown, that the maximum-speed multivariable perfect control schemes do not necessitate the maximum-energy of the control input variables. In that way, the IMC peculiarities involving the nonzero perfect control closed-loop poles are indicated, which constitutes a solid

  • Model Predictive Control of Glucose Concentration Based on Signal Temporal Logic Specifications with Unknown-Meals Occurrence
    Cybern. Syst. (IF 1.681) Pub Date : 2020-05-14
    Francesca Cairoli; Gianfranco Fenu; Felice Andrea Pellegrino; Erica Salvato

    The glycemia regulation is a significant challenge in the Artificial Pancreas (AP) scenario. Several control systems have been developed in the last years, many of them requiring meal announcements. Therefore, if the patients skip the meal announcement or make a mistake in the estimation of the amount of carbohydrates, the control performance will be negatively affected. In this extended version of

  • Terminal Sliding-Mode Control of Virtual Humanoid Robot with Joint Restrictions Walking on stepping objects
    Cybern. Syst. (IF 1.681) Pub Date : 2020-05-14
    M. Sanchez-Magos; M. Ballesteros; D. Cruz-Ortiz; I. Salgado; I. Chairez

    This manuscript deals with the problem of controlling a virtualized humanoid robot with 16 degrees of freedom (DOF). The aim of this study was to design an output feedback discontinuous controller which must resolve the sequence of articulation movements to walk over disjoint stepping objects placed in front of the humanoid robot. The suggested controller considers the state restrictions, via a nonstandard

  • Non-Singular Kernels for Modelling Power Law Type Long Memory Behaviours and Beyond
    Cybern. Syst. (IF 1.681) Pub Date : 2020-05-12
    Jocelyn Sabatier

    To tackle several limitations recently highlighted in the field of fractional differentiation and fractional models, some authors have proposed new kernels for the definition of fractional integration/differentiation operators. These kernels still have some limitations, however. One goal of this paper is thus to propose other kernels with a power law type behavior that overcome these limitations. All

  • Robot Position/Force Control in Unknown Environment Using Hybrid Reinforcement Learning
    Cybern. Syst. (IF 1.681) Pub Date : 2020-05-12
    Adolfo Perrusquía; Wen Yu

    Robot position/force control provides an interaction scheme between the robot and the environment. When the environment is unknown, learning algorithms are needed. But, the learning space and learning time are big. To balance the learning accuracy and the learning time, we propose a hybrid reinforcement learning method, which can be in both discrete and continuous domains. The discrete-time learning

  • New Methods and Approaches in Decision and Control of Intelligent and Cyber Systems
    Cybern. Syst. (IF 1.681) Pub Date : 2020-04-29
    Maria Pia Fanti; Moez Soltani; Nizar Bouguila; Achraf Jabeur Telmoudi

    (2020). New Methods and Approaches in Decision and Control of Intelligent and Cyber Systems. Cybernetics and Systems. Ahead of Print.

  • Extraction of Moving Areas in Random-Dot Animation with Parallel Computation
    Cybern. Syst. (IF 1.681) Pub Date : 2020-02-19
    Satoshi Ito; Keito Uchizono; Ryosuke Morita

    The observation of random-dot animations requires the motion detection techniques of moving objects from the background, allowing the boundary of the moving areas to be perceived despite that each frame consists of random-dot patterns with no boundaries. The present study aims to extract the moving parts as well as its moving direction on the random-dot animations based on the local parallel computation

  • Applying Concept Drift to Understand Hepatitis Evolution in Brazil
    Cybern. Syst. (IF 1.681) Pub Date : 2020-02-18
    Ricardo A. Rios; Tatiane N. Rios; Rosemary Melo; Euler Santos de Santana; Técia Maria Santos Carneiro; Argemiro D.’ Oliveira Junior

    In this manuscript, we performed a scrutiny on hepatitis records collected in Brazil using statistical and computational tools aiming at analyzing the evolution of this disease during the period of 2007 and 2014. The study was performed in three phases. Initially, we used statistical tests to assess whether or not the notification cases were increasing. Then, we created a measure to quantify trends

  • On Degree of Fuzziness and Fuzzy Decision Making
    Cybern. Syst. (IF 1.681) Pub Date : 2020-02-18
    Sujit Kumar De

    In this article, we develop the definition of the degree of fuzziness for a polygonal fuzzy set. First of all we take a polygon of sides 2n + 1 and then we calculate its area. Also we consider the area of an half ellipse whose length of major axis are the length of the fuzzy interval of the given fuzzy set and its semi minor axis is 1. We construct the relative error as the measure of the degree of

  • Organizational Diseases
    Cybern. Syst. (IF 1.681) Pub Date : 2020-02-08
    Mario Iván Tarride; Brenda Villena; Julia González

    The current work contributes to the understanding of the organizational phenomenon, from healthy organizations point of view. These were defined in previous works, such as those that are in a state of complete structural, strategic and social well-being, with capacity for adaptation and development, and not only in absence of disease. It is proposed here, in addition, a definition of organizational

  • Modeling Aleatory and Epistemic Uncertainty in Human Health Risk Assessment
    Cybern. Syst. (IF 1.681) Pub Date : 2020-02-08
    Palash Dutta

    Risk plays an important role in the decision making process. To assess the severity and likelihood of impairment to human health from exposure to a substance or activity that under plausible circumstances can cause harm to human health is the main purpose of risk assessment. It is important to know the nature and characteristic of all available information, data or model parameters which are more generally

  • A Methodology for Modeling and Optimizing Social Systems
    Cybern. Syst. (IF 1.681) Pub Date : 2020-01-03
    Antonio Caselles; David Soler; Maria T. Sanz; Joan C. Micó

    A system methodology for modeling and optimizing social systems is presented. It allows constructing dynamical models formulated stochastically, i.e., their results are given by confidence intervals. The models provide optimal intervention ways to reach the stated objectives. Two optimization methods are used: (1) to test strategies and scenarios and (2) to optimize with a genetic algorithm. The application

  • Multivariate Time Series Clustering and its Application in Industrial Systems
    Cybern. Syst. (IF 1.681) Pub Date : 2019-11-29
    Barış Gün Sürmeli; M. Borahan Tümer

    Multivariate Time Series (MTS) data obtained from large scale systems carry resourceful information about the internal system status. Multivariate Time Series Clustering is one of the exploratory methods that can enable one to discover the different types of behavior that is manifested in different working periods of a system. This knowledge can then be used for tasks such as anomaly detection or system

  • Modeling Mentor-Mentee Dialogues in Film.
    Cybern. Syst. Pub Date : 2019-05-07
    Anna Dobrosovestnova,Marcin Skowron,Sabine Payr,Robert Trappl

    With a view to inform the design of a mentor-like synthetic agent that is to engage in a coherent and consistent in character conversation with human subjects, we conducted a data-driven analysis of verbal communication between fictional mentor and mentee characters in films. While in our earlier work the focus was on the conversation strategies of mentor characters, here we present the extended model

  • Strategic Talk in Film.
    Cybern. Syst. Pub Date : 2018-01-30
    Sabine Payr,Marcin Skowron,Anna Dobrosovestnova,Martin Trapp,Robert Trappl

    Conversational robots and agents are being designed for educational and/or persuasive tasks, e.g., health or fitness coaching. To pursue such tasks over a long time, they will need a complex model of the strategic goal, a variety of strategies to implement it in interaction, and the capability of strategic talk. Strategic talk is incipient ongoing conversation in which at least one participant has

  • Detection of Social Interaction in Smart Spaces.
    Cybern. Syst. Pub Date : 2010-10-19
    Diane J Cook,Aaron Crandall,Geetika Singla,Brian Thomas

    The pervasive sensing technologies found in smart environments offer unprecedented opportunities for monitoring and assisting the individuals who live and work in these spaces. An aspect of daily life that is important for one's emotional and physical health is social interaction. In this paper we investigate the use of smart environment technologies to detect and analyze interactions in smart spaces

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