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arXiv 2018年

作者： Jafarian, Matin Yi, Xinlei Pirani, Mohammad Sandberg, Henrik Johansson, Karl Henrik Automatic Control Department School of Electrical Engineering and Computer Science KTH Royal Institute of Technology Stockholm Sweden

This paper studies the synchronization of a finite number of Kuramoto oscillators in a frequency-dependent bidirectional tree network. We assume that the coupling strength of each link in each direction is equal to the product of a common coefficient and the exogenous frequency of its corresponding head1oscillator. We derive a sufficient condition for the common coupling strength in order to guarantee frequency synchronization in tree networks. Moreover, we discuss the dependency of the obtained bound on both the graph structure and the way that exogenous frequencies are distributed. Further, we present an application of the obtained result by means of an event-triggered algorithm for achieving frequency synchronization in a star network assuming that the common coupling coefficient is given. Copyright © 2018, The Authors. All rights reserved.

关键词： Synchronization

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American Sign Language Posture Understanding with Deep Neural Networks

American Sign Language Posture Understanding with Deep Neura...

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International Conference on Information Fusion

作者： Md Asif Jalal Ruilong Chen Roger K Moore Lyudmila Mihaylova Department of Computer Science University of Sheffield UK Department of Automatic Control and Systems Engineering University of Sheffield UK

Sign language is a visually oriented, natural, nonverbal communication medium. Having shared similar linguistic properties with its respective spoken language, it consists of a set of gestures, postures and facial expressions. Though, sign language is a mode of communication between deaf people, most other people do not know sign language interpretations. Therefore, it would be constructive if we can translate the sign postures artificially. In this paper, a capsule-based deep neural network sign posture translator for an American Sign Language (ASL) fingerspelling (posture), has been presented. The performance validation shows that the approach can successfully identify sign language, with accuracy like 99%. Unlike previous neural network approaches, which mainly used fine-tuning and transfer learning from pre-trained models, the developed capsule network architecture does not require a pre-trained model. The framework uses a capsule network with adaptive pooling which is the key to its high accuracy. The framework is not limited to sign language understanding, but it has scope for non-verbal communication in Human-Robot Interaction (HRI) also.

关键词： Convolution Assistive technology Gesture recognition Feature extraction Neural networks Kernel Hidden Markov models

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IDF2022-1183 The effect of multi-strain probiotics on diarrhea in patients with type 2 diabetes and metformin intolerance

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Diabetes Research and Clinical Practice 2023年 197卷 110340-110340页

作者： Nabrdalik, K. Drożdż, K. Kwiendacz, H. Skonieczna-Żydecka, K. Łoniewski, I. Kaczmarczyk, M. Nalepa, J. Holleman, F. Nieuwdorp, M. Gumprecht, J. Medical University of Silesia in Katowice Faculty of Medical Sciences in Zabrze Department of Internal Medicine Diabetology and Nephrology Zabrze Poland Pomeranian Medical University in Szczecin Department of Human Nutrition and Metabolomics Szczecin Poland Pomeranian Medical University in Szczecin Department of Biochemical Sciences Szczecin Poland Pomeranian Medical University in Szczecin Department of Clinical and Molecular Biochemistry Szczecin Poland Silesian University of Technology Faculty of Automatic Control Electronics and Computer Science Department of Algorithmics and Software Gliwice Poland Universiteit van Amsterdam- Amsterdam UMC Department of Internal Medicine Amsterdam The Netherlands Universiteit van Amsterdam Amsterdam UMC Department of Internal Medicine Section Vascular Medicine Amsterdam The Netherlands

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LQG-Based control and Scheduling Co-Design

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IFAC-PapersOnLine 2017年第1期50卷 5895-5900页

作者： Xu Y. Årzén K.-E. Bini E. Cervin A. Department of Automatic Control Lund University Sweden Department of Computer Science University of Torino Italy

control and scheduling co-design becomes an issue when several controller tasks share the same execution platform and disrupt the ideal sampling and actuation patterns. In co-design the objective is to optimize the combined performance of all the controllers on the platform, subject to schedulability constraints. In the paper four LQG-based co-design methods are reviewed and evaluated: delay-aware, stochastic, periodic, and harmonic LQG co-design. © 2017

关键词： fixed-priority scheduling linear-quadratic control real-time system

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Range-based cooperative underwater target localization

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IFAC-PapersOnLine 2017年第1期50卷 12366-12373页

作者： Crasta, N. Moreno-Salinas, D. Pascoal, A.M. Aranda, J. ISR/IST University of Lisbon Lisbon Portugal Department of Computer Science and Automatic Control National Distance Education University Madrid Spain

The paper addresses the problem of range-based cooperative underwater target localization. In its simplest form, target localization aims to estimate the position of a stationary or mobile target by using range measurements between the target and a vehicle, called a tracker, undergoing a trajectory that can be measured on-line. In this context, the tracker must execute sufficiently exciting maneuvers so as to maximize the range-based information available for target localization. The paper extends this set-up to the case where the tracker works in cooperation with another vehicle, called companion, that can also measure ranges to the target and shares this info with the tracker. The latter may have access to the position of the companion or, in some cases, only to the range between the two vehicles. We consider three different operating scenarios where the motion of the tracker is chosen so as to increase the accuracy with which the position of the target can be estimated. The scenarios reflect the situations where the motion of the companion vehicle satisfies one of three conditions: i) the motion is not defined a priori and can also be optimized, ii) the motion is fixed a priori and is known to the tracker (scenario in which the tracker benefits from the extra information acquired by the companion vehicle, which tracks a desired trajectory in the context of a separate, independent mission), and iii) the motion is not known a priori and must be learned in the course of the mission. By adopting an estimation-theoretical settings, optimal trajectories are computed by maximizing the determinant of an appropriately defined Fisher information matrix (FIM), subjected to vehicle maneuvering constraints and inter-vehicle collision avoidance. Simulation results illustrate the methodology adopted for cooperative target localization. © 2017

关键词： Target tracking Fisher information matrix Maneuverability Trajectories Cooperative targets Desired trajectories Inter vehicle collision Optimal trajectories Range measurements Target localization Trajectory optimization Vehicle maneuverings

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A note on the stability analysis of a class of nonlinear systems - An LMI approach

UPB Scientific Bulletin, Series C: Electrical Engineering an...

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UPB Scientific Bulletin, Series C: Electrical Engineering and computer science 2018年第4期80卷 3-10页

作者： Olteanu, Mircea Ştefan, Radu Department of Mathematical Methods and Models Faculty of Applied Sciences University "Politehnica" of Bucharest Romania Department of Automatic Control and Systems Engineering Faculty of Automatic Control and Computer Science University "Politehnica" of Bucharest Romania

The main goal of the paper is to study the equilibria of a nonlinear system, proving the existence and uniqueness of an equilibrium point in the positive ortant. We also provide numerically tractable conditions (by using Linear Matrix Inequalities techniques) to check the asymptotic stability of the equilibrium point. An illustrative numerical example is closing the paper along with some conclusions. © 2018, Politechnica University of Bucharest. All rights reserved.

关键词： Nonlinear systems

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LED Smart Illumination with DFID Indoor Positioning 21

LED Smart Illumination with DFID Indoor Positioning

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21st International Conference on control Systems and computer science, CSCS 2017

作者： Floarea, Dorian Sgarciu, Valentin Faculty of Automatic Control and Computer Science University POLITEHNICA of Bucharest Bucharest Romania

ISBN: (纸本)9781538618394

There are already plenty of Internet of Things (IoT) architectures and systems available worldwide and this creates challenges for software development and systems entities that use these platforms. Global visibility and interoperability through the exposure of these platforms via the web can be achieved through a new paradigm to support an open framework for Web of Things (WoT), which is analogous to web pages. Thus, real-world objects and cloud services could interact via the web. This paper presents the concept of an intelligent lighting system designed in an architectural style based on the Representational State Transfer (REST) web technology and provides intelligent illumination based on Radio-Frequency Identification (RFID) technology. © 2017 IEEE.

关键词： Web services

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Building Occupancy Estimation using Supervised Learning Techniques

Building Occupancy Estimation using Supervised Learning Tech...

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International Conference on System Theory, control, and Computing (ICSTCC)

作者： Claudia Chiţu Grigore Stamatescu Alberto Cerpa University Politehnica of Bucharest Bucharest Romania Department of Automatic Control and Industrial Informatics University Politehnica of Bucharest Romania Institute of Technical Informatics Graz University of Technology Austria University of California Merced Merced CA USA Department of Electrical Engineering and Computer Science University of California Merced USA

Smart buildings viewed as cyber-physical systems are currently a growing research topic oriented towards collaborative groups of buildings. Since buildings consume significant amount of energy, research efforts have concentrated to make them more efficient, in particular the Heating, Ventilation and Air-Conditioning (HVAC) systems that represent more than 40% of the buildings' energy budget. A key piece of information that facilitates the design of energy efficient HVAC systems, in particular in commercial buildings, is the knowledge of the real-time and predicted occupancy, which would allow an automatic control process to balance the trade-off between energy use and quality of comfort. In practice however, occupancy counting devices are not being wide-spread deployed in the market, so in order to move forward, we believe it is important to estimate occupancy using existing sensors currently deployed in buildings. In this work, we propose to use a combination of sensor data currently available in buildings, such as CO 2 data and airflow, and develop a supervised learning framework that uses existing data to estimate occupancy. We developed two data-driven techniques based on Random Forest (RF) and KNN algorithms to estimate occupancy based on data collected from 4 rooms. Our results show an average RMSE occupancy error that varies from 3.10 to 11.21 for RF (depending on the room) and 2.96 to 8.46 for KNN, with best case results of 1.08 and 0.97 respectively. We believe that our framework can be integrated into existing Building Management Systems (BMS) control processes to improve energy efficiency in smart buildings.

关键词： Buildings Sensors Estimation Radio frequency Ventilation HVAC

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Performance Analysis of a Cloud Computing System using Queuing Model with Correlated Task Reneging

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Journal of Physics: Conference Series 2021年第1期2091卷

作者： Rakesh Kumar Bhavneet Singh Soodan Godlove Suila Kuaban Piotr Czekalski Sapana Sharma School of Mathematics Shri Mata Vaishno Devi University Katra Jammu and Kashmir 182320 India Department of Mathematics and Statistics Namibia University of Science and Technology Private Bag 13388 Windhoek Namibia 13 Jackson Kaujeua Street Windhoek Namibia Institute of Theoretical and Applied Informatics Polish Academy of Sciences Baltycka 5 44-100 Gliwice Poland Department of Computer Graphics Vision and Digital Systems Faculty of Automatic Control Electronics and Computer Science Silesian University of Technology Department of Mathematics Cluster University of Jammu Jammu and Kashmir

Queuing theory has been extensively used in the modelling and performance analysis of cloud computing systems. The phenomenon of the task (or request) reneging, that is, the dropping of requests from the request queue often occur in cloud computing systems, and it is important to consider it when developing performance evaluations models for cloud computing infrastructures. Majority of studies in the performance evaluation of cloud computing data centres with the use of queuing theory do not consider the fact that the tasks could be removed from queue without being serviced. The removal of tasks from the queue could be due to the user impatience, execution deadline expiration, security reasons, or as an active queue management strategy. The reneging could be correlated in nature, that is, if a request is dropped (or reneged) at any time epoch, and then there is a probability that a request may or may not be dropped at the next time epoch. This kind of dropping (or reneging) of requests is referred to as correlated request reneging. In this paper we have modelled a cloud computing infrastructure with correlated request reneging using queuing theory. An M/M/1/N queuing model with correlated reneging has been used to study the performance analysis of the load balancing server of a cloud computing system. The steady-state as well as the transient performance analyses have been carried out. Important measures of performance like average queue size, average delay, probability of task blocking, and the probability of no waiting in the queue are studied. Finally, some comparisons are performed which describe the effect of correlated task reneging over simple exponential reneging.

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Fuzzy Predictions Regarding In Vitro Behavior of Cells Line Under Cytostatic Treatment

Fuzzy Predictions Regarding In Vitro Behavior of Cells Line ...

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E-Health and Bioengineering Conference (EHB)

作者： M. Caramihai N. Radu M. Bostan G. Ion A. A. Chirvase M. Constantin M. Doni N. Babeanu Faculty of Automatic Control and Computer Science University POLITEHNICA of Bucharest Romania Biotechnology Department University of Agronomic Sciences and Veterinary Medicine of Bucharest Romania Immunology Center of IVN S. Nicolau Bucharest Romania Biotechnology Department National Institute of Chemistry and PetrochemistryR&D of Bucharest Romania

Behavior evaluation of tumor and normal cell lines, under the influence of mixture between cytostatic and immunomodulatory compounds represents a challenge in oncologic research, because it is expected that in the presence of immunomodulatory compound, the normal cells will be less affected and the tumor cells will be destroyed much more. The aim of this paper is to predict the behavior of tumor cell line (FaDu) and normal cell line (HUVEC) under the influence of cytostatic compound named Cisplatin (CisPt) and under the influence of immunomodulatory compound named Curcumin (CR), in order to obtain an optimal mixing ratio between these two compounds. Based on the results obtained in Lab regarding the response of the two cell lines evolution vs. the treatment with each reagent in the concentration range of (0-100μM/mL), it was tried to model the behavior of the system in presence of these two compounds, using a fuzzy prediction. The obtained results were compared with predictions resulted from fuzzy simulation. Analyzing the numeric values, the best results were obtained in the case of prediction regarding HUVEC behavior with a fuzzy simulation.

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