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Health Science Reports 2023年第10期6卷

作者： Mohammad Faranoush Pooya Faranoush Iraj Heydari Mohammad Reza Foroughi-Gilvaee Azita Azarkeivan Ali Parsai Kia Negin Sadighnia Ali Elahinia Afsoon Zandi Mohammad Reza Rezvany Nahid Hashemi-Madani Amir Ziaee Reza Nekouian Farzaneh Rohani Pediatric Growth and Development Research Center Institute of Endocrinology Iran University of Medical Sciences Tehran Iran Cardio-Oncology Research Center Rajaie Cardiovascular Medical & Research Center Iran University of Medical Sciences Tehran Iran Nano Bio Electronic Devices Lab Cancer Electronics Research Group School of Electrical and Computer Engineering College of Engineering University of Tehran Tehran Iran Blood Transfusion Research Center High Institute for Research and Education in Transfusion Medicine Tehran Iran Robotics Research Laboratory School of Mechanical Engineering Iran University of Science and Technology Tehran Iran Department of Otolaryngology Head & Neck Surgery Taleghani Hospital Shahid Beheshti University of Medical Sciences Tehran Iran

The cover image is based on the Research ArticleComplications in patients with transfusion dependent thalassemia: A descriptive cross‐sectional studyby Mohammad Faranoush et al.,https://***/10.1002/hsr2.1624

The cover image is based on the Research Article Complications in patients with transfusion dependent thalassemia: A descriptive cross‐sectional study by Mohammad Faranoush et al., https://***/10.1002/hsr2.1624

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Predictive Identification of Electromagnetic Micro-mirrors*

Predictive Identification of Electromagnetic Micro-mirrors*

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IEEE Conference on Cybernetics and Intelligent systems

作者： Qingmei Cao Yonghong Tan Ruili Dong Qingyuan Tan Institute of Robotics and Automation Nankai University Tianjin China College of Information Mechanical and Electrical Engineering Shanghai Normal University Shanghai China College of Information Science and Technology Donghua University Shanghai China Department of Electrical and Computer Engineering University of Windsor Windsor Canada

ISBN: (数字)9781728134581

ISBN: (纸本)9781728134598

This paper presents an identification approach for electromagnetic micro-mirrors using data-driven model with hysteresis. Usually, linear models are applied to modeling of electromagnetic micro-mirrors. However, from the experimental results, it can find that hysteresis phenomenon exists in the electromagnetic micro-mirror. Thus, it is not proper for using the linear model for modeling of electromagnetic micro-mirror. In this paper, a data-driven model with hysteresis is proposed for modeling the performance of electromagnetic micro-mirrors. In this model, a linear dynamic submodel is employed to model the deflection mechanism, whilst a dynamic hysteresis submodel is used to describe the hysteresis phenomenon in the electromagnetic actuating mechanism of the micro-mirror. One of the challenges of identification for electromagnetic micro-mirror is the electromagnetic torque cannot be measured directly. For handling this problem, a so-called predictive identification algorithm is applied to parameter estimation of the model. The effect of random noise on the identification is also considered. Then, the paper also presents the experimental results of modeling an electromagnetic micro-mirror.

关键词： Conferences Cybernetics Intelligent systems Robots Automation Mechatronics Random access memory

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Delays in Model Reduction of Chemical Reaction Networks

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IFAC-PapersOnLine 2018年第14期51卷 100-105页

作者： Lipták, György Hangos, Katalin M. Process Control Research Group Systems and Control Laboratory Computer and Automation Research Institute Hungarian Academy of Sciences P.O. Box 63 BudapestH-1518 Hungary Department of Electrical Engineering and Information Systems University of Pannonia Veszprém Hungary

A novel engineering model reduction method is proposed in this paper that can be applied to a chemical reaction network (CRN) with chains of linear reactions. The reduced model is a delayed CRN with possibly different delays but with less state variables than the original model. As the first step of the model reduction, a decomposition method is also developed to transform chains with joint reactions into independent chains of linear reactions. The well known example of McKeithan's network is used as a case study to illustrate the basic concepts and the design method. © 2018

关键词： Reduction

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Controller Gains of an Inverted Pendulum are Influenced by the Visual Feedback Position

Controller Gains of an Inverted Pendulum are Influenced by t...

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Annual International Conference of the IEEE engineering in Medicine and Biology Society (EMBC)

作者： Justinas Česonis Raz Leib Sae Franklin David W. Franklin Neuromuscular Diagnostics Department of Sport and Health Sciences Technical University of Munich Munich Germany Institute of Cognitive Systems Department of Electrical and Computer Engineering Technical University of Munich Munich Germany

In this study we experimentally test and model the control behavior of human participants when controlling inverted pendulums of different dynamic lengths, and with visual feedback of varying congruence to these dynamic lengths. Participants were asked to stabilize the inverted pendulum of L = 1 m and L = 4 m, with visual feedback shown at various distances along the pendulum. We fit a family of linear models to the control input (cart velocity) applied by participants. We further tested the models by predicting this control input for a pendulum with dynamic length L = 2 m and comparing the prediction to the experimental data. We show that the sum of proportional error correction and a term inversely proportional to visual feedback gain can well describe the control in human participants.

关键词： Visualization Mathematical model Data models Predictive models Task analysis Stability analysis Feedback control

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MedShapeNet - A Large-Scale Dataset of 3D Medical Shapes for computer Vision

arXiv

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arXiv 2023年

作者： Li, Jianning Zhou, Zongwei Yang, Jiancheng Pepe, Antonio Gsaxner, Christina Luijten, Gijs Qu, Chongyu Zhang, Tiezheng Chen, Xiaoxi Li, Wenxuan Wodzinski, Marek Friedrich, Paul Xie, Kangxian Jin, Yuan Ambigapathy, Narmada Nasca, Enrico Solak, Naida Melito, Gian Marco Vu, Viet Duc Memon, Afaque R. Schlachta, Christopher De Ribaupierre, Sandrine Patel, Rajnikant Eagleson, Roy Chen, Xiaojun Mächler, Heinrich Kirschke, Jan Stefan de la Rosa, Ezequiel Christ, Patrick Ferdinand Li, Hongwei Bran Ellis, David G. Aizenberg, Michele R. Gatidis, Sergios Küstner, Thomas Shusharina, Nadya Heller, Nicholas Andrearczyk, Vincent Depeursinge, Adrien Hatt, Mathieu Sekuboyina, Anjany Löffler, Maximilian Liebl, Hans Dorent, Reuben Vercauteren, Tom Shapey, Jonathan Kujawa, Aaron Cornelissen, Stefan Langenhuizen, Patrick Ben-Hamadou, Achraf Rekik, Ahmed Pujades, Sergi Boyer, Edmond Bolelli, Federico Grana, Costantino Lumetti, Luca Salehi, Hamidreza Ma, Jun Zhang, Yao Gharleghi, Ramtin Beier, Susann Sowmya, Arcot Garza-Villarreal, Eduardo A. Balducci, Thania Angeles-Valdez, Diego Souza, Roberto Rittner, Leticia Frayne, Richard Ji, Yuanfeng Ferrari, Vincenzo Chatterjee, Soumick Dubost, Florian Schreiber, Stefanie Mattern, Hendrik Speck, Oliver Haehn, Daniel John, Christoph Nürnberger, Andreas Pedrosa, João Ferreira, Carlos Aresta, Guilherme Cunha, António Campilho, Aurélio Suter, Yannick Garcia, Jose Lalande, Alain Vandenbossche, Vicky Van Oevelen, Aline Duquesne, Kate Mekhzoum, Hamza Vandemeulebroucke, Jef Audenaert, Emmanuel Krebs, Claudia van Leeuwen, Timo Vereecke, Evie Heidemeyer, Hauke Röhrig, Rainer Hölzle, Frank Badeli, Vahid Krieger, Kathrin Gunzer, Matthias Chen, Jianxu van Meegdenburg, Timo Dada, Amin Balzer, Miriam Fragemann, Jana Jonske, Frederic Rempe, Moritz Malorodov, Stanislav Bahnsen, Fin H. Seibold, Constantin Jaus, Alexander Marinov, Zdravko Jaeger, Paul F. Stiefelhagen, Rainer Santos, Ana Sofia Lindo, Mariana Ferreira, André Alves, Victor Kamp, Michael Abourayya, Amr Nensa, Felix Hörst, Fabian Brehmer, Alexander Hein Girardetstraße 2 Essen45131 Germany Graz University of Technology Inffeldgasse 16c Graz8010 Austria Graz Austria The Department of Computer Science Johns Hopkins University Malone Hall 3400 N Charles St BaltimoreMD21218 United States Rte Cantonale Lausanne1015 Switzerland The Department of Measurement and Electronics AGH University of Science and Technology Krakow Poland Sierre Switzerland Department of Biomedical Engineering University of Basel Hegenheimermattweg Allschwil167C CH-4123 Switzerland The Boston College 140 Commonwealth Ave Chestnut HillMA02467 United States University Hospital B7-200 339 Windermere Road LondonN6A 5A5 Canada The Department of Radiology Renji Hospital School of Medicine Shanghai Jiao Tong University Shanghai200240 China The Research Center for Connected Healthcare Big Data ZhejiangLab Zhejiang Hangzhou311121 China The Faculty of Statistics Technical University Dortmund August-Schmidt-Straße 1 Dortmund44227 Germany The Institute of Mechanics Graz University of Technology Kopernikusgasse 24/IV Graz8010 Austria The Institute of Biomedical Manufacturing and Life Quality Engineering State Key Laboratory of Mechanical System and Vibration School of Mechanical Engineering Shanghai Jiao Tong University 800 Dongchuan Road Shanghai200240 China The Department of Cardiac Surgery Medical University Graz Auenbruggerplatz 29 Graz8036 Austria The Department of Diagnostic and Interventional Radiology University Hospital Giessen Justus-Liebig-University Giessen Klinikstraße 33 Giessen35392 Germany The Department of Mechanical Engineering Mehran University of Engineering and Technology Jamshoro Sindh76062 Pakistan The Institute of Medical Robotics Shanghai Jiao Tong University Shanghai China The Geschäftsführender Oberarzt Abteilung für Interventionelle und Diagnostische Neuroradiologie Universitätsklinikum der Technischen Universität München Ismaningerstr. 22 München81675 Germany icometrix Kolonel Be

Prior to the deep learning era, shape was commonly used to describe the objects. Nowadays, state-of-the-art (SOTA) algorithms in medical imaging are predominantly diverging from computer vision, where voxel grids, meshes, point clouds, and implicit surface models are used. This is seen from numerous shape-related publications in premier vision conferences as well as the growing popularity of ShapeNet (about 51,300 models) and Princeton ModelNet (127,915 models). For the medical domain, we present a large collection of anatomical shapes (e.g., bones, organs, vessels) and 3D models of surgical instrument, called MedShapeNet, created to facilitate the translation of data-driven vision algorithms to medical applications and to adapt SOTA vision algorithms to medical problems. As a unique feature, we directly model the majority of shapes on the imaging data of real patients. As of today, MedShapeNet includes 23 datasets with more than 100,000 shapes that are paired with annotations (ground truth). Our data is freely accessible via a web interface and a Python application programming interface (API) and can be used for discriminative, reconstructive, and variational benchmarks as well as various applications in virtual, augmented, or mixed reality, and 3D printing. Exemplary, we present use cases in the fields of classification of brain tumors, skull reconstructions, multi-class anatomy completion, education, and 3D printing. In future, we will extend the data and improve the interfaces. The project pages are: https://***/ and https://***/Jianningli/*** Codes 68T01 © 2023, CC BY.

关键词： Large dataset

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Digital-Based Soft-Switching Modulation for High-Frequency Three-Phase Inverters with Reactive Power Transfer Capability 10

Digital-Based Soft-Switching Modulation for High-Frequency T...

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10th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2018

作者： Huang, Zhengrong Li, Qiang Lee, Fred C. Bradley Department of Electrical and Computer Engineering Virginia Polytechnic Institute and State University Center for Power Electronics Systems BlacksburgVA United States

ISBN: (纸本)9781479973118

In this paper, a novel critical-conduction-mode (CRM)-based soft-switching modulation technique for three-phase inverters is extended from unity to non-unity power factor operating conditions. Zero-voltage-switch (ZVS) soft switching is still achievable with this modulation at non-unity power factor operating conditions, which is especially beneficial for silicon-carbide (SiC)-based systems at high switching frequency operation in order to achieve both high power density and high efficiency. Differences in operation modes between unity and non-unity power factor operating conditions are analyzed and a generalized modulation concept is summarized which covers both unity and non-unity power factor operating conditions. All the control functions are implemented digitally with one low-cost microcontroller (MCU). This modulation concept is verified in simulations and also experimentally implemented on a 25-kW SiC-based three-phase inverter prototype with 127 W/in3 power density. © 2018 IEEE.

关键词： Reactive power

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Mode-transition bragg gratings with increased group index for on-chip optical delay lines

Mode-transition bragg gratings with increased group index fo...

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Frontiers in Optics, FIO 2018

作者： Jiang, Lingjun Huang, Z. Rena Department of Electrical Computer and Systems Engineering Rensselaer Polytechnic Institute 110 8th Street TroyNY12180 United States

We proposed and demonstrated mode-transition Bragg gratings for optical delay line applications. It shows a stronger slow light effect than conventional apodized Bragg gratings, and a maximum group index of 15.8 has b... 详细信息

ISBN: (纸本)9781943580460

关键词： Bragg gratings

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Graph Temporal Logic Inference for Classification and Identification

Graph Temporal Logic Inference for Classification and Identi...

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IEEE Annual Conference on Decision and Control

作者： Zhe Xu Alexander J Nettekoven A. Agung Julius Ufuk Topcu Institute for Computational Engineering and Sciences (ICES) University of Texas Austin TX Walker Department of Mechanical Engineering the University of Texas at Austin Austin TX Department of Electrical Computer and Systems Engineering Rensselaer Polytechnic Institute Troy NY Department of Aerospace Engineering and Engineering Mechanics University of Texas Austin TX

ISBN: (数字)9781728113982

ISBN: (纸本)9781728113999

Inferring spatial-temporal properties from data is important for many complex systems, such as additive manufacturing systems, swarm robotic systems and biological networks. Such systems can often be modeled as a labeled graph where labels on the nodes and edges represent relevant measurements such as temperatures and distances. We introduce graph temporal logic (GTL) which can express properties such as "whenever a node's label is above 10, for the next 3 time units there are always at least two neighboring nodes with an edge label of at most 2 where the node labels are above 5". This paper is a first attempt to infer spatial (graph) temporal logic formulas from data for classification and identification. For classification, we infer a GTL formula that classifies two sets of graph temporal trajectories with minimal misclassification rate. For identification, we infer a GTL formula that is informative and is satisfied by the graph temporal trajectories in the dataset with high probability. The informativeness of a GTL formula is measured by the information gain with respect to given prior knowledge represented by a prior probability distribution. We implement the proposed approach to classify the graph patterns of tensile specimens built from selective laser sintering (SLS) process with varying strengths, and to identify informative spatial-temporal patterns from experimental data of the SLS cooldown process and simulation data of a swarm of robots.

关键词： Trajectory Indexes Robots Biological system modeling Laser sintering Powders Syntactics

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Spoken dialogue-based remote control of educational mobile robot with mecanum wheels 17

Spoken dialogue-based remote control of educational mobile r...

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17th IEEE International Conference on Emerging eLearning Technologies and Applications, ICETA 2019

作者： Chivarov, Nayden Chikurtev, Denis Pleva, Matus Ondas, Stanislav Juhar, Jozef Liao, Yuan-Fu Institute of Information and Communication Technologies Bulgarian Academy of Sciences BAS Acad. G. Bonchev St. Sofia1113 Bulgaria Robotics Lab European Polytechnical University 23 Sv. Sv. Kiril i Metodiy Str. Pernik2300 Bulgaria Department of Electronics and Multimedia Communications Faculty of Electrical Engineering and Informatics Technical University of Kosice Letna 9 Kosice04200 Slovakia Department of Electronic Engineering College of Electrical Engineering &computer Science National Taipei University of Technology Zhongxiao E. Rd. 406 Taipei10608 Taiwan

ISBN: (纸本)9781728149677

This paper describes a new platform of educational mobile robot with Mecanum wheels and voice enabled dialogue-based human robot interaction model was established. Moreover, new trends in using deep neural networks for cloud-and edge-based speech recognition was described in detail. Finally, the progress of both the cloudand edge-based speech recognition was reported. Especially, promising usability test result on resisting room reverberation and background noise had been achieved by the proposed convolutional neural network (CNN)-based wake-up word (WUW) spotting system. © 2019 IEEE.

关键词： Mobile robots

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A network monitoring game with heterogeneous component criticality levels

arXiv

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arXiv 2019年

作者： Milošević, Jezdimir Dahan, Mathieu Amin, Saurabh Sandberg, Henrik Division of Decision and Control Systems School of Electrical Engineering and Computer Science KTH Royal Institute of Technology Stockholm Sweden Center for Computational Engineering Massachusetts Institute of Technology CambridgeMA United States Department of Civil and Environmental Engineering Institute for Data Systems and Society Massachusetts Institute of Technology Cambridge United States

We consider an attacker-operator game for monitoring a large-scale network that is comprised on components that differ in their criticality levels. In this zero-sum game, the operator seeks to position a limited number of sensors to monitor the network against an attacker who strategically targets a network component. The operator (resp. attacker) seeks to minimize (resp. maximize) the network loss. To study the properties of mixed-strategy Nash Equilibria of this game, we first study two simple instances: (i) When component sets monitored by individual sensor locations are mutually disjoint;(ii) When only a single sensor is positioned, but with possibly overlapping monitoring component sets. Our analysis reveals new insights on how criticality levels impact the players equilibrium strategies. Next, we extend a previously known approach to obtain an approximate Nash equilibrium for the general case of the game. This approach uses solutions to minimum set cover and maximum set packing problems to construct an approximate Nash equilibrium. Finally, we implement a column generation procedure to improve this solution and numerically evaluate the performance of our approach. Copyright © 2019, The Authors. All rights reserved.

关键词： Criticality (nuclear fission)

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