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3rd IEEE International Conference on Cybernetics, CYBCONF 2017

作者： Hunek, Wojciech Wach, Lukasz Institute of Control and Computer Engineering Department of Electrical Control and Computer Engineering Opole University of Technology Opole Poland

ISBN: (纸本)9781538622018

The paper presents a study on defining the perfect control stability areas for LTI MIMO discrete-time fractional-order systems in state-space. The formula for calculating the stability areas corresponds to that dedicated to integer-order systems. Simulation examples involving the nonunique right σ-inverse with parameter degrees of freedom confirm the correctness of proposed method. © 2017 IEEE.

关键词： Stability criteria

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Fuzzy controller of Pathological Conditions Diagnosis based on Analysis of Cytological Images 8

Fuzzy Controller of Pathological Conditions Diagnosis based ...

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8th International Conference Advanced computer Information Technologies, ACIT 2018

作者： Dubchak, Lesia Verbovyy, Serhiy Verbova, Olena Vasylkiv, Nadiia Department of Computer Engineering Ternopil National Economic University Ternopil 8 Chekhova str. Ukraine Department of Information and Computing Systems and Control Ternopil National Economic University 11 Lvivska str. Ternopil Ukraine

In this article authors proposed the fuzzy controller for the correct diagnosis of the breast pathological states. This mean can be used in medical practice by the cytologist as an additional way of diagnosis confirmi... 详细信息

ISBN: (纸本)9789666544899

关键词： Diagnosis

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Discrepancy between derivative orders in fractional supercapacitor models for charging and discharging cycles

Discrepancy between derivative orders in fractional supercap...

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International Conference on Methods and Models in Automation and Robotics

作者： Ryszard Kopka Department of Electrical Control and Computer Engineering Opole University of Technology Opole Poland

This paper presents results of research related to estimating a fractional order of supercapacitor models governed by non-integer differential equations. The results are determined on the basis of supercapacitors responses to voltage and current steps of different values, separately for charging and discharging cycles. The use of fractional order models makes it possible to reduce the complexity of the model and, at the same time, ensures very good compliance with the real system response. It is well known that the fractional order of the differential equations corresponds to the physicochemical properties of the supercapacitor. Three widely available supercapacitors are examined. The tests are carried out for five different values of voltage and current steps. The obtained results indicate an important dependence of the estimated non-integer order also on the conditions of their use.

关键词： Fractional calculus Fractional model Parameters estimation Supercapacitor

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Predictive control of Linear Fractional-Order Systems Based on Discrete-Time Fractional-Order Laguerre Filters

Predictive Control of Linear Fractional-Order Systems Based ...

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International Conference on Methods and Models in Automation and Robotics (MMAR)

作者： Rafał Stanisławski Krzysztof J. Latawiec Marek Rydel Marian Łukaniszyn Marcin Gałek Department of Electrical Control and Computer Engineering Opole University of Technology Opole POLAND

The paper presents a new prediction algorithm for a new class of fractional-order systems, in terms of two-layer discrete-time fractional-order Laguerre-systems. The proposed algorithm is applied to extended horizon model predictive control. Simulation examples confirm the effectiveness of the introduced prediction algorithm and usefulness of two-layer Laguerre models in design of the predictive controllers for discrete-time fractional-order systems.

关键词： Prediction algorithms Predictive control control systems Predictive models Stochastic processes Approximation algorithms Mathematical model

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On Mining IoT Data for Evaluating the Operation of Public Educational Buildings

On Mining IoT Data for Evaluating the Operation of Public Ed...

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IEEE Annual Conference on Pervasive Computing and Communications Workshops (PerCom)

作者： Na Zhu Aris Anagnostopoulos Ioannis Chatzigiannakis Department of Computer Control and Management Engineering Sapienza University of Rome Rome Italy

ISBN: (纸本)9781538632284

Public educational systems operate thousands of buildings with vastly different characteristics in terms of size, age, location, construction, thermal behavior and user communities. Their strategic planning and sustainable operation is an extremely complex and requires quantitative evidence on the performance of buildings such as the interaction of indoor-outdoor environment. Internet of Things (IoT) deployments can provide the necessary data to evaluate, redesign and eventually improve the organizational and managerial measures. In this work a data mining approach is presented to analyze the sensor data collected over a period of 2 years from an IoT infrastructure deployed over 18 school buildings spread in Greece, Italy and Sweden. The real-world evaluation indicates that data mining on sensor data can provide critical insights to building managers and custodial staff about ways to lower a buildings energy footprint through effectively managing building operations.

关键词： Buildings Pollution measurement Energy consumption Cloud computing Monitoring Sensors Atmospheric measurements

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Adding cues to binary feature descriptors for visual place recognition

arXiv

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arXiv 2018年

作者： Schlegel, Dominik Grisetti, Giorgio Department of Computer Control and Management Engineering Sapienza University of Rome Rome Italy

In this paper we propose an approach to embed continuous and selector cues in binary feature descriptors used for visual place recognition. The embedding is achieved by extending each feature descriptor with a binary string that encodes a cue and supports the Hamming distance metric. Augmenting the descriptors in such a way has the advantage of being transparent to the procedure used to compare them. We present two concrete applications of our methodology, demonstrating the two considered types of cues. In addition to that, we conducted on these applications a broad quantitative and comparative evaluation covering five benchmark datasets and several state-of-the-art image retrieval approaches in combination with various binary descriptor types. Copyright © 2018, The Authors. All rights reserved.

关键词： Hamming distance

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Transforming heat transfer with thermal metamaterials and devices

arXiv

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arXiv 2020年

作者： Li, Ying Li, Wei Han, Tiancheng Zheng, Xu Li, Jiaxin Li, Baowen Fan, Shanhui Qiu, Cheng-Wei Department of Electrical and Computer Engineering National University of Singapore Singapore117583 Singapore Interdisciplinary Center for Quantum Information State Key Laboratory of Modern Optical Instrumentation College of Information Science and Electronic Engineering Zhejiang University Hangzhou310027 China ZJU-Hangzhou Global Science and Technology Innovation Center Key Lab. of Advanced Micro/Nano Electronic Devices & Smart Systems of Zhejiang Zhejiang University Hangzhou310027 China Department of Electrical Engineering Ginzton Laboratory Stanford University StanfordCA94305 United States National Engineering Research Center of Electromagnetic Radiation Control Materials State Key Laboratory of Electronic Thin Film and Integrated Devices University of Electronic Science and Technology of China Chengdu610054 China Department of Physics University of Colorado BoulderCO80309 United States School of Mechatronics Engineering Harbin Institute of Technology Harbin150001 China Paul M. Rady Department of Mechanical Engineering University of Colorado BoulderCO80309 United States

| The demand for sophisticated tools and approaches in heat management and control has triggered fast development of emerging fields including conductive thermal metamaterials, nanophononics, far-field and near-field radiative thermal management, etc. In this review, we cast a unified perspective on the control of heat transfer, based on which the related studies can be considered as complementary paradigms toward manipulating physical parameters and realizing unprecedented phenomena in heat transfer using artificial structures, such as thermal conductivity in heat conduction, thermal emissivity in radiation, and properties related to multi-physical effects. The review is divided into three parts that focus on the three main categories of heat flow control, respectively. Thermal conduction and radiation are emphasized in the first and second parts at both macro- and micro-scale. The third part discusses the efforts to actively introduce heat sources or tune the material parameters with multi-physical effects in both conduction and radiation, including works using thermal convection. We conclude the review with challenges in this research topic and new possibilities about topological thermal effects, heat waves, and quantum thermal effects. Copyright © 2020, The Authors. All rights reserved.

关键词： Metamaterials

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Edge-Enhanced Dual Discriminator Generative Adversarial Network for Fast MRI with Parallel Imaging Using Multi-view Information

arXiv

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arXiv 2021年

作者： Huang, Jiahao Ding, Weiping Lv, Jun Yang, Jingwen Dong, Hao Del Ser, Javier Xia, Jun Ren, Tiaojuan Wong, Stephen T. Yang, Guang College of Information Science and Technology Zhejiang Shuren University Hangzhou310015 China National Heart and Lung Institute Imperial College London London United Kingdom School of Information Science and Technology Nantong University Nantong226019 China School of Computer and Control Engineering Yantai University Yantai264005 China Department of Prosthodontics Peking University School Hospital of Stomatology Beijing China Center on Frontiers of Computing Studies Peking University Beijing China Derio48160 Spain Bilbao48013 Spain Department of Radiology Shenzhen Second People’s Hospital The First Affiliated Hospital of Shenzhen University Health Science Center Shenzhen China Systems Medicine and Bioengineering Department Houston Methodist Cancer Center HoustonTX77030 United States Department of Radiology Houston Methodist Hospital Weill Cornell Medicine HoustonTX77030 United States Cardiovascular Research Centre Royal Brompton Hospital London United Kingdom

In clinical medicine, magnetic resonance imaging (MRI) is one of the most important tools for diagnosis, triage, prognosis, and treatment planning. However, MRI suffers from an inherent slow data acquisition process because data is collected sequentially in k-space. In recent years, most MRI reconstruction methods proposed in the literature focus on holistic image reconstruction rather than enhancing the edge information. This work steps aside this general trend by elaborating on the enhancement of edge information. Specifically, we introduce a novel parallel imaging coupled dual discriminator generative adversarial network (PIDD-GAN) for fast multi-channel MRI reconstruction by incorporating multi-view information. The dual discriminator design aims to improve the edge information in MRI reconstruction. One discriminator is used for holistic image reconstruction, whereas the other one is responsible for enhancing edge information. An improved U-Net with local and global residual learning is proposed for the generator. Frequency channel attention blocks (FCA Blocks) are embedded in the generator for incorporating attention mechanisms. Content loss is introduced to train the generator for better reconstruction quality. We performed comprehensive experiments on Calgary-Campinas public brain MR dataset and compared our method with state-of-the-art MRI reconstruction methods. Ablation studies of residual learning were conducted on the MICCAI13 dataset to validate the proposed modules. Results show that our PIDD-GAN provides high-quality reconstructed MR images, with well-preserved edge information. The time of single-image reconstruction is below 5ms, which meets the demand of faster processing. © 2021, CC BY-NC-ND.

关键词： Generative adversarial networks

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Research on Main Steam Temperature Prediction Model Based on Improved LSTM Algorithm

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Journal of Physics: Conference Series 2020年第1期1631卷

作者： Ling Zheng Xin Ye Fei Chen Department of Computer Science and Technology North China Electric Power University Faculty of Control and Computer Engineering room E1112 No. 2 Beinong Road Huilongguan Town Changping District Beijing China

In order to improve the reliability and accuracy of the main steam temperature trend prediction, a main steam temperature prediction model based on improved LSTM is proposed. Firstly, uses the grey correlation analysis method to select the important influencing factors. Then, a linear structure is introduced into the LSTM structure to construct a main steam temperature prediction model. Finally, based on the historical operating data of the thermal power unit, a simulation experiment is performed to compare the prediction error of the output of the RNN model, the LSTM model, and the improved LSTM model. The results show that the method has higher prediction accuracy for the main steam temperature. At the same time, compared with other traditional methods, this method has better fitting effect, which can be well applied in practical engineering.

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Design of ADRC for Second-Order Mechanical Systems without Time-Derivatives in the Tracking controller

Design of ADRC for Second-Order Mechanical Systems without T...

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American control Conference

作者： M. Ramirez-Neria R. Madonski A. Luviano-Juarez Z. Gao H. Sira-Ramirez Mechatronics Departament Uni¬versidad Politécnica del Valle de Mexico Tultitlán Es¬tado de Méixico Energy Electricity Research Center Inter¬national Energy College Jinan University Zhuhai P. R. China UPIITA-IPN Mexico City Mexico Department of Electrical and Computer Engineering Center for Advanced Control Technologies Cleveland State University Cleveland Ohio USA Electrical Engineer¬ing Department of Cinvestav-IPN Mechatronics Section Mexico City

ISBN: (数字)9781538682661

ISBN: (纸本)9781538682678

In this article, the problem of designing Active Disturbance Rejection control (ADRC) for a class of second-order mechanical systems, expressed with Euler-Lagrange equations, is studied. A specific and practically motivated case is considered here, namely trajectory tracking task without the use of signal time-derivatives in the tracking controller. A general solution is proposed showing how to synthesize and tune the observer and the controller parts of the ADRC scheme. A special Extended State Observer is used in the design and here it takes the form of a Generalized Proportional Integral Observer (GPIO), which uses a Taylor series approximation of the total disturbance. A set of experimental results, obtained using a two degree-of-freedom robotic manipulator, shows the effectiveness of the proposed governing scheme in terms of trajectory realization and disturbance rejection without the use of signal time-derivatives in the controller.

关键词： Observers Manipulators Mechanical systems Trajectory tracking Trajectory Electronic mail

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