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IEEE International Symposium on Circuits and Systems (ISCAS)

作者： Ákos Zarándy Péter Földesy Ádám Nagy Imre Jánoki Dániel Terbe Máté Siket Miklós Szabó Judit Varga Institute for Computer Science and Control Budapest Hungary and Pázmány Péter Catholic University Budapest Hungary Institute for Computer Science and Control Budapest Hungary Semmelweis University Budapest Division of Neonatology Ist st Dept. of Pediatrics Dept of Obstetrics and Gynecology Hungary

ISBN: (数字)9781728133201

ISBN: (纸本)9781728133218

Remote photoplethysmography (RPPG) is a camera-based optical technique for detecting volumetric changes of organs. This technique enables the non-contact measurement of respiration and pulse. Monitoring newborn infants is a challenging task, due to the weak pulse signals, the rather irregular respiratory pattern, and the frequent movements. Therefore, heavy optimization of the sensing and evaluation process is a must in a resource-limited embedded vision system. This is a two-faceted study, with a special focus on low computational complexity. In the field of respiration monitoring, the paper introduces an optimized convolutional neural network (CNN) and a novel, light Long Short-term Memory (LSTM) motion classifier with a narrow CNN layer. From heart rate measurement point of view, a skin segmentation based algorithm is presented. The performance of each algorithm is evaluated on a database collected at the I st dept. of Neonatology of Pediatrics, dept.of Obstetrics and Gynecology, Semmelweis University, Budapest, Hungary.

关键词： Monitoring Pediatrics Skin Cameras Microsoft Windows Estimation Optimization

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Bayesian Neural Networks Uncertainty Quantification with Cubature Rules

Bayesian Neural Networks Uncertainty Quantification with Cub...

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International Joint Conference on Neural Networks (IJCNN)

作者： Peng Wang Nidhal C. Bouaynaya Lyudmila Mihaylova Jikai Wang Qibin Zhang Renke He Automatic Control & Systems Engineering Dept. The University of Sheffield Information and Navigation College Air Force Engineering University The 32nd Research Institute of CETC Department of Automation University of Science and Technology of China Department of Electrical and Computer Engineering Rowan University

ISBN: (数字)9781728169262

ISBN: (纸本)9781728169279

Bayesian neural networks are powerful inference methods by accounting for randomness in the data and the network model. Uncertainty quantification at the output of neural networks is critical, especially for applications such as autonomous driving and hazardous weather forecasting. However, approaches for theoretical analysis of Bayesian neural networks remain limited. This paper makes a step forward towards mathematical quantification of uncertainty in neural network models and proposes a cubature-rule-based computationally-efficient uncertainty quantification approach that captures layer-wise uncertainties of Bayesian neural networks. The proposed approach approximates the first two moments of the posterior distribution of the parameters by propagating cubature points across the network nonlinearities. Simulation results show that the proposed approach can achieve more diverse layer-wise uncertainty quantification results of neural networks with a fast convergence rate.

关键词： Neural networks Uncertainty Bayes methods Computational modeling Gaussian distribution Two dimensional displays Weather forecasting

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A Fault-Tolerant control Scheme for Fixed-Wing UAVs with Flight Envelope Integration

A Fault-Tolerant Control Scheme for Fixed-Wing UAVs with Fli...

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International Conference on Unmanned Aircraft Systems (ICUAS)

作者： Georgios Zogopoulos-Papaliakos George C. Karras Kostas J. Kyriakopoulos Control Systems Lab School of Mechanical Engineering National Technical University of Athens Greece Dept. of Computer Science and Telecommunications University of Thessaly Greece

ISBN: (数字)9781728142784

ISBN: (纸本)9781728142791

Fault-tolerant control is currently the most important step towards increased autonomy for Unmanned Aerial Vehicles (UAVs). In this work, we consider actuator and airframe faults in fixed-wing UAVs and show that an online Flight Envelope (FE) calculation can interpret their effect on the achievable trim trajectories. Subsequently, we design a fully integrated control scheme with a RRT-based planner and 3 Nonlinear Model Predictive control (MPC) layers. The FE is provided at each control layer with the beneficial result that non-trimmable, unstable trajectories are avoided. Results from high-fidelity simulations are provided.

关键词： Iron Aircraft Atmospheric modeling Trajectory Aerospace control Numerical models Aerodynamics

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Enhanced Blowfish Algorithm for Image Encryption Based on Chaotic Map 1

Enhanced Blowfish Algorithm for Image Encryption Based on Ch...

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1st International Scientific Conference of computer and Applied sciences, CAS 2019

作者： Jassem, Ammar H. Hashim, Ashwaq T. Ali, Suhad A. Computer Sciences Science College for Women University of Babylon Babil Iraq University of Technology Control and Systems Eng. Dept. Baghdad Iraq

ISBN: (纸本)9781728140483

Image security is essential, topic through the increase of the image usage in most of communications besides assures information security which is hidden in these images such as military and medical images. Blowfish is outstanding symmetric cryptography, which has the benefits of strong ability to resist attackers. Thus it is widely used in data encryption, but it is not suitable for image encryption because of the huge data, higher redundancy and toughly correlation of image pixels. The proposed enhanced method has been employed Blowfish based image encryption technique. Firstly the digital image is decomposed into several key-based blocks randomly to decorrelated the relationship between original and processed image then each block is passed through the Blowfish algorithm. The proposed system is designed to take advantage of the powerful facility, which is supported by a chaotic map resulting in a much-improved security/performance trade-off. As a result, the proposed system offers good performance for image encryption. To ensure improved Blowfish encryption algorithm, the implementation of both techniques has been carried out for experimental purposes which are showed that the original image has a flat histogram after encrypted, a decreasing correlation between adjacent pixels in all colour components and increasing entropy for the cases studied. A comparative study with previous Blowfish algorithm shows the superiority of the modified algorithm. © 2019 IEEE.

关键词： Cryptography

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Design Model to Improve Task Scheduling in Cloud Computing Based on Particle Swarm Optimization

Design Model to Improve Task Scheduling in Cloud Computing B...

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IEEE NW Russia Young Researchers in Electrical and Electronic Engineering Conference (EIConRusNW)

作者： Almothana Khodar Liudmila V. Chernenkaya Iyad Alkhayat Hazim Abdulameer Fadhil Al-Afare Elena N. Desyatirikova Dept. of Computer Science Voronezh State University Voronezh Russia Highest School of Cyberphysic Control Systems Peter the Great St. Petersburg Polytechnic University St. Petersburg Russia Dept. of Information Systems and Networks Damascus University Damascus Syria Dept. of Computer Systems Middle Technical University Baghdad Iraq Dept. of Control Systems and IT Voronezh State Technical University Voronezh Russia

ISBN: (数字)9781728157610

ISBN: (纸本)9781728157627

Cloud computing is one of the most modern innovations that are growing rapidly in all technical fields because of its advantages in securing multiple resources and high speed in performance. It provides users connected via the Internet with a variety of storage and computing supplies. Cloud computing is both a catalyst and an enabler for major technological developments such as mobile computing, big data, and machine learning. With all these features, task scheduling has become one of the most difficult challenges facing the cloud, It plays a key role in the effectiveness of all cloud computing tools. Scheduling tasks means allocating tasks to the suitable virtual machine so that the course of computation can be executed to satisfy QoS constraints defined by users such as time to finish and expense. Most current optimization algorithms focus on only one aspect. In this paper, Depending on the characteristics of the swarm algorithm we will develop a model to solve the dilemma of task scheduling as well in order to get the fastest time to transfer tasks and the fastest time for execution with the lowest possible expense. In addition to that, we will develop a multi-purpose algorithm based on the PSO method to provide an optimal solution for the proposed model. The experimental consequences of this paper demonstrate that the proposed manner is more efficacious in expediting tasks and reducing expenses.

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Comparison of the Effectiveness of Various Structures of Regulators for controlling an Object of the Sixth Order

Comparison of the Effectiveness of Various Structures of Reg...

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2019 International Multi-Conference on Engineering, computer and Information sciences, SIBIRCON 2019

作者： Zhmud, Vadim Dimitrov, Lubomir Nosek, Jaroslav Roth, Hubert Novosibirsk State Technical University Dept. of Automation Novosibirsk Russia Technical University of Sofia Sofia Bulgaria Technical University of Liberec Faculty of Mechatronics Computer Science and Interdisciplinary Research Liberec Czech Republic University of Siegen Department of Automatic Control Engineering Siegen Germany Germany

ISBN: (纸本)9781728144016

Object control requires the calculation of a regulator. One of the most effective methods for calculating the regulator is the method of numerical optimization of the regulator. This paper discusses the solution of the problem of controlling a linear object of the sixth order, the parameters of which are such that this high order significantly and negatively affects the possibilities of successfully managing this object. Using the traditional approach to the design problem of the controller (regulator) allows us to formally solve the problem;however, the result of this solution is not satisfactory. The use of additional derivation does not give any noticeable improvement. A solution to this problem is proposed by using pseudo-local feedback, moreover, this connection is supposedly most effective if it covers one of two identical links in the object model. This allows for a smoother attenuation of the frequency response of the object in the region where the action of these two links begins to affect. For pseudo-local communication, an additional PID controller is used, the coefficients of which are also determined by the method of numerical optimization. The optimization result allows us to conclude that the presence of an integral element in this controller is optional. The calculation result of such a composite controller meets the most stringent requirements for the quality of control, since in such a system the speed is increased at least twice, the oscillations, which were about 10% in amplitude, are completely eliminated, the robustness of the system is ensured, which is verified by changing all the controller coefficients by 5% up and down, and also by changing the time constant of the element of the pseudolocal loop by 10% up and down, changes in the transition process of the system in this case remain are acceptable. © 2019 IEEE.

关键词： Feedback

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Spectroscopic detection of pigments in tissues: correlation with tissue aging and cancer development

Spectroscopic detection of pigments in tissues: correlation ...

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2022 International Conference Laser Optics, ICLO 2022

作者： Oliveira, L.M. Goncalves, T.M. Botelho, A.R. Martins, I.S. Silva, H.F. Carneiro, I. Carvalho, S. Henrique, R. Tuchin, V.V. Porto Portugal Center of Innovation in Engineering and Industrial Technology Isep Porto Portugal Department of Electrical and Computer Engineering Porto University-School of Engineering Porto Portugal Department of Pathology and Cancer Biology and Epigenetics Group Portuguese Oncology Institute of Porto Porto Portugal Porto Portugal Viana do Castelo Portugal Dept. of Pathol. and Molecular Immunology Porto University-Institute of Biomedical Sciences Abel Salazar Porto Portugal Science Medical Center Saratov State University Saratov Russia Laboratory of Laser Molecular Imaging and Machine Learning National Research Tomsk State University Tomsk Russia Laboratory of Laser Diagnostics of Technical and Living Systems Institute of Precision Mechanics and Control Frc-Saratov Scientific Centre-of the Russian Academy of Sciences Saratov Russia

ISBN: (纸本)9781665466646

The direct calculation of the absorption coefficient spectra of various tissues from spectral measurements allowed to retrieve the contents of melanin and lipofuscin. In the rabbit brain cortex, 1.8 times higher melanin content is explained by the neuron degeneration process. Similar melanin and lipofuscin contents were found in the rabbit pancreas as a result of the tissue aging process. The conversion of 83 % of the melanin in the human normal kidney into lipofuscin in the cancer kidney indicates that lipofuscin can be considered a kidney cancer marker in humans. © 2022 IEEE.

关键词： Tissue

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Evaluation and Analysis of Service Broker Algorithms in Cloud-Analyst

Evaluation and Analysis of Service Broker Algorithms in Clou...

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IEEE NW Russia Young Researchers in Electrical and Electronic Engineering Conference (EIConRusNW)

作者： Almothana Khodar Vladimir E. Mager Iyad Alkhayat Faten Ahmed Jebur Al-Soudani Elena N. Desyatirikova Dept. of Computer Science Voronezh State University Voronezh Russia Highest School of Cyberphysic Control Systems Peter the Great St. Petersburg Polytechnic University St. Petersburg Russia Dept. of Information Systems and Networks Damascus University Damascus Syria Dept. of Computer Systems and Technologies Middle Technical University Baghdad Iraq Dept. of Control Systems and IT Voronezh State Technical University Voronezh Russia

ISBN: (数字)9781728157610

ISBN: (纸本)9781728157627

Cloud computing is a reasonably distributed computing with heterogeneous computing resources. Resource sharing, convenience of resources that correspond to the needs and a lot of box-management issues facing the cloud. Here, during this paper, analysis and comparison of varied existing algorithms of service brokers and load equalization algorithms in cloud computing . To check the implementation of existing algorithms, varied modeling tools were developed, for instance, a Cloud Analyst. The performance of the present policies of the service broker is compared by considering total response time and execution time in data center.

关键词： Data centers Cloud computing Time factors Virtual machining Heuristic algorithms Tools

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Mathematical Model of a Three-Phase Induction Motor with Asymmetrical Twelve-Zone Stator Windings

Mathematical Model of a Three-Phase Induction Motor with Asy...

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International Conference on Modern Electrical and Energy Systems (MEES)

作者： Valerii Tytiuk Oleksii Chornyi Victor Busher Tatyana Siverskaya Mila Baranovskaya Vitalii Kuznetsov Department “Artificial Intelligence Technologies” NJSC “Karaganda Industrial University” Temirtau Kazakhstan Institute of Electromechanics Energy Saving and Automatic Control Systems Kremenchuk Mykhailo Ostrohradskyi National University Kremenchuk Ukraine Dept. of Electrical Engineering and Electronics National University “Odessa Maritime Academy” Odessa Ukraine Department “Power Engineering” NJSC “Karaganda Industrial University” Temirtau Kazakhstan Department of Electromechanics Kryvyi Rih National University Kryvyi Rih Ukraine Department of the electrical engineering Ukrainian State University of Science and Technologies Dnipro Ukraine

ISBN: (纸本)9798350346848

The paper proposes a mathematical model of a three-phase induction motor with an asymmetrical twelve-zone winding of stator with parallel connection of subwindings. The mathematical model was developed using the theory of generalized electromechanical converter and contains equations of electrical equilibrium of six stator windings and three rotor windings. The equations for calculating the electromagnetic moment and the equations of motion of the induction motor with an asymmetrical twelve-zone stator winding rotor were obtained. The developed mathematical model in the form of cell-matrix equations has been implemented in MATLAB/Simulink.

关键词： Induction motors Torque Computational modeling Windings Stator windings Rotors Mathematical models

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UAVs fleet mission planning robust to changing weather conditions

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IFAC-PapersOnLine 2020年第2期53卷 10518-10524页

作者： Grzegorz Bocewicz Grzegorz Radzki Izabela Nielsen Marcin Witczak Banaszak Zbigniew Faculty of Electronics and Computer Science Koszalin University of Technology Poland Dept. of Materials and Production Aalborg University Aalborg Denmark Inst. Control and Comp. Eng. University of Zielona Góra Poland

A fleet of homogeneous UAVs fly in a 2D plane matching a distribution network to service customers in a collision-free manner. Limited UAVs’ battery capacity and UAVs’ weight reduction during they traveling along planned routes and goods delivery as well as changing weather conditions are also taken into account. The goal is to determine a set of routings covering all delivery points so that the total distance traveled by the UAVs fleet is constrained by a battery capacity limit. All customers’ demands are realized within a given time horizon and take into account forecasted weather constraints, focusing on changes in a wind speed and direction. In this context, the main objective is to propose a declarative model allowing one to prototype proactive routings of UAVs fleet mission. Computational experiments assessing alternative strategies of UAVs fleet mission robust to forecast weather conditions are discussed.

关键词： UAVs fleet routing scheduling UAVs fleet mission planning robustness to changing weather conditions

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