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IEEE Conference on Nanotechnology

作者： Florin C. Loghin Marco Bobinger Almudena Rivadeneyra Markus Becherer Paolo Lugli Chair of Nanoelectronics Department for electrical and computer engineering Technical University of Munich Munich Germany Pervasive Electronics Advanced Research Laboratory (PEARL) University of Granada Granada Spain Faculty of Science and Technology Free University of Bolzano Bolzano-Bozen Italy

Printed electronics is a rapidly emerging field due to the development of new types of functional materials and inks that can be deposited using well-known and widely established printing techniques. Commonly, sensor structures or interconnects on printed circuit boards (PCBs) are fabricated using wet etching and photolithography steps. To overcome the limitations of those techniques, in this contribution, we use a simple and scalable screen printing process to deposit silver-flake based interdigitated electrode (IDE) structures onto sprayed carbon nanotube (CNT) films. The silver (Ag) structures show a low sheet resistance and resistivity of 0.14 Ω/sq. and 6.1·10 -7 Ω·m, respectively, at a thickness of around 4.4 μm. Attributed to its flexibility and robustness, a polyimide foil (Kapton®HN) was selected as the substrate. The CNT films with printed IDE that are entirely fabricated in the ambient air are then characterized as resistive gas sensors to detect ammonia (NH 3 ). A high response of around 20% is achieved for an NH 3 concentration of 50 ppm.

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Estimation of differences in selected indices of vibroacoustic signals between healthy and osteoarthritic patellofemoral joints as a potential non-invasive diagnostic tool

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Journal of Physics: Conference Series 2021年第1期2130卷

作者： R Karpiński P Krakowski J Jonak A Machrowska M Maciejewski A Nogalski Lublin University of Technology Faculty of Mechanical Engineering Department of Machine Design and Mechatronics Nadbystrzycka 36 20-618 Lublin Poland Medical University of Lublin Chair and Department of Trauma Surgery andEmergency Medicine Staszica 11 20-081 Lublin Poland Lublin University of Technology Faculty of Electrical Engineering and Computer Science Department of Electronics and Information Technology Nadbystrzycka 36 20-618 Lublin Poland

Osteoarthritis (OA) is currently the most generic form of joint disease. It is a complex process in which degenerative changes occur in the articular cartilage [AC], subchondral bone, and synovial membrane and can lead to permanent joint failure. The primary and most commonly used method of diagnosing degenerative changes is classic radiography. Magnetic resonance imaging (MRI) may be used to assess the extent of damage to joint surfaces, but this method is limited by the availability of specialised equipment and the excessive cost of the examination. Arthroscopy, an invasive procedure, is considered the "gold standard" in joint diagnosis. The occurrence of degenerative changes is closely related to the friction and lubrication processes within the joint. The main causes of osteoarthritis are a change or lack of synovial fluid, deformation of the joint bones, local damage to the articular cartilage, and a change in the mechanical properties of the articular cartilage due to water loss from the damaged superficial layer. An alternative, non-invasive method that allows for a delicate assessment of the condition of moving joints is vibroarthrography (VAG). The analysis of vibroacoustic signals generated by moving joint surfaces has an immense potential in the non-invasive assessment of the degree of damage to articular cartilage, meniscus and ligaments and the general diagnosis of degenerative diseases. The purpose of this study is to analyse and statistically compare the basic characteristics of vibroacoustic signals recorded with a CM-01B contact microphone placed on the patella for motion in the 90°–0°–90° range in a closed kinetic chain (CKC) in a control group (HC) and a group of patients diagnosed with osteoarthritis (OA), qualified for the knee alloplasty.

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Analysis of differences in vibroacoustic signals between healthy and osteoarthritic knees using EMD algorithm and statistical analysis

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Journal of Physics: Conference Series 2021年第1期2130卷

作者： R Karpiński P Krakowski J Jonak A Machrowska M Maciejewski A Nogalski Lublin University of Technology Faculty of Mechanical Engineering Department of Machine Design and Mechatronics Nadbystrzycka 36 20-618 Lublin Poland Medical University of Lublin Chair and Department of Trauma Surgery and Emergency Medicine Staszica 11 20-081 Lublin Poland Lublin University of Technology Faculty of Electrical Engineering and Computer Science Department of Electronics and Information Technology Nadbystrzycka 36 20-618 Lublin Poland

The knee joint is the largest and one of the most vulnerable and most frequently damaged joints in the human body. It is characterized by a complex structure. All articular surfaces are covered with hyaline cartilage. This cartilage has minimal regenerative capacity. Under the influence of cyclical micro-injuries, inflammatory mediators, prolonged excessive pressure or immobility, and thus disturbance of tissue nutrition, the cartilage becomes susceptible to damage and is easily covered with villi, cracks and abrasion. As a result, this translates into changes in the friction and lubrication processes within the joint and may affect the generated vibroacoustic processes. In this study, the signals recorded in a group of 28 volunteers were analysed, 15 of them were healthy people (HC) and 13 were people diagnosed with osteoarthritis (OA) qualified for surgery. The study aims to check the usefulness of the EMD (Empirical Mode Decomposition) algorithm in the filtration procedures of vibroacoustic signals. This algorithm is most often used in the analysis of signals that are most often nonlinear and non-stationary. Selected statistical indicators, such as RMS, VMS, variance and energy, were determined for the signals constituting the sum of the IMFs (Intrinsic Mode Functions) 1-8, having a normal distribution in the assessment of damage to the articular cartilage of the knee joint. Statistical analysis was performed for the values of individual indicators obtained. The vibroacoustic signals were recorded using CM-01B contact microphones placed in the central part of the medial and lateral joint fissure for movement in the range of 90°–0°–90° in closed kinetic chains (CKC) in the control group (HC) and the group of patients diagnosed with osteoarthritis (OA).

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Hardware Implementation of Selected Statistical Quantities for Applications in Automotive V2I Communication System

Hardware Implementation of Selected Statistical Quantities f...

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International Conference on Microelectronics, MIEL

作者： M. Banach R. Długosz T. Talaśka Poznan University of Technology Institute of Architecture and Spatial Planning Nieszawska 13C 61-021 Poznań Poland UTP University of Science and Technology Faculty of Telecommunication Computer Science and Electrical Engineering ul. Kaliskiego 7 85-796 Bydgoszcz Poland

In this work we propose a concept of a transistor level implementation of a simplified iterative methods for computing several basic statistical quantities, such as the mean and the variance. The motivation behind the presented work is the realization of a calibration algorithm for determining the positions of the V2I (vehicle-to-infrastructure) communication devices in novel automotive applications. Such devices, mounted in fixed points of the road and urban infrastructure (RSU - road side equipment) will be used to support autonomous vehicles moving in urban and suburban environments. The role of the calibration procedure is to determine the positions of the RSU devices in global coordinate system (GCS) and save it in their internal memory blocks. To facilitate the hardware implementation, we introduced some modifications to existing (conventional) iterative algorithms used for the computation of the statistical quantities. For this purpose, we eliminated division operations, substituting them with bit shift operations. Shifting the bits may be easily realized fully asynchronously in hardware, using only a passive commutation field.

关键词： Hardware Iterative methods Roads Transistors Calibration Autonomous vehicles Global Positioning System

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Prediction of euroleague games based on supervised classification algorithm k-nearest neighbours 6

Prediction of euroleague games based on supervised classific...

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6th International Congress on Sport sciences Research and Technology Support, icSPORTS 2018

作者： Horvat, Tomislav Job, Josip Medved, Vladimir Department of Electrical Engineering University North 104. brigade 3 Varaždin Croatia Chair of Visual Computing Faculty of Electrical Engineering Computer Science and Information Technology Osijek Josip Juraj Strossmayer University of Osijek Osijek Croatia Department of General and Applied Kinesiology Faculty of Kinesiology University of Zagreb Zagreb Croatia

ISBN: (纸本)9789897583254

Machine learning becomes one of the top fields in world of ICT (Information and communications technology). In the last few decades machine learning has taken a big boost in sports. Sport fans are using machine learning in sport betting and sport managers are using it for player selection, performance evaluation and even in outcome prediction. This paper gives basketball outcome prediction algorithms using k-nearest neighbours (k-nn). Few methods of preparing data calculated with different k and time period for k-nn algorithm will be presented and closely explained. Feature selection will also be discussed and results based on feature selection will be presented. Copyright © 2018 by SCITEPRESS - science and Technology Publications, Lda. All rights reserved

关键词： Sports

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Self-Awareness for Autonomous Systems

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PROCEEDINGS OF THE IEEE 2020年第7期108卷 971-975页

作者： Dutt, Nikil Regazzoni, Carlo S. Rinner, Bernhard Yao, Xin Nikil Dutt (Fellow IEEE) received the Ph.D. degree from the University of Illinois at Urbana–Champaign Champaign IL USA in 1989.""He is currently a Distinguished Professor of computer science (CS) cognitive sciences and electrical engineering and computer sciences (EECS) with the University of California at Irvine Irvine CA USA. He is a coauthor of seven books. His research interests include embedded systems electronic design automation (EDA) computer architecture distributed systems healthcare Internet of Things (IoT) and brain-inspired architectures and computing.""Dr. Dutt is a Fellow of ACM. He was a recipient of the IFIP Silver Core Award. He has received numerous best paper awards. He serves as the Steering Committee Chair of the IEEE/ACM Embedded Systems Week (ESWEEK). He is also on the steering organizing and program committees of several premier EDA and embedded system design conferences and workshops. He has served on the Editorial Boards for the IEEE Transactions on Very Large Scale Integration (VLSI) Systems and the ACM Transactions on Embedded Computing Systems and also previously served as the Editor-in-Chief (EiC) for the ACM Transactions on Design Automation of Electronic Systems. He served on the Advisory Boards of the IEEE Embedded Systems Letters the ACM Special Interest Group on Embedded Systems the ACM Special Interest Group on Design Automationt and the ACM Transactions on Embedded Computing Systems. Carlo S. Regazzoni (Senior Member IEEE) received the M.S. and Ph.D. degrees in electronic and telecommunications engineering from the University of Genoa Genoa Italy in 1987 and 1992 respectively.""He is currently a Full Professor of cognitive telecommunications systems with the Department of Electrical Electronics and Telecommunication Engineering and Naval Architecture (DITEN) University of Genoa and a Co-Ordinator of the Joint Doctorate on Interactive and Cognitive Environments (JDICE) international Ph.D. course started initially as EU Erasmus Mundus Project and

Autonomous systems are able to make decisions and potentially take actions without direct human intervention, which requires some knowledge about the system and its environment as well as goal-oriented reasoning. In computer systems, one can derive such behavior from the concept of a rational agent with autonomy (“control over its own actions”), reactivity (“react to events from the environment”), proactivity (“act on its own initiative”), and sociality (“interact with other agents”) as fundamental properties \n[1]\n. Autonomous systems will undoubtedly pervade into our everyday lives, and we will find them in a variety of domains and applications including robotics, transportation, health care, communications, and entertainment to name a few. \nThe articles in this month’s special issue cover concepts and fundamentals, architectures and techniques, and applications and case studies in the exciting area of self-awareness in autonomous systems.

关键词： Special issues and sections Autonomous systems Self-aware Robot sensing systems Computational modeling

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The smart miniFab: An industrial IoT demonstrator anywhere at any time 4th

The smart miniFab: An industrial IoT demonstrator anywhere a...

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4th International KES conference on Smart Education and Smart e-Learning, SEEL 2017

作者： Schubert, Tobias Völker, Benjamin Pfeifer, Marc Becker, Bernd Chair of Computer Architecture Faculty of Engineering Institute of Computer Science Albert-Ludwigs-University Freiburg Freiburg79110 Germany

ISBN: (纸本)9783319594507

The fourth industrial revolution is predicted to be one major topic in the upcoming decades, affecting nearly every industrial facility. The key enabler for the successful integration of corresponding developments are well-trained engineers with elaborated knowledge in the area of the Industrial Internet of Things (IIoT). This paper introduces a concept enabling engineering students to gain the required skills for the upcoming challenges connected with the fourth industrial revolution. Therefore, the Smart MiniFab was developed - a demonstrator of an industrial facility primed for the implementation and the analysis of different IIoT concepts on a small scale. Due to the modular structure of the system, students can use the demonstrator to programmatically implement the functionality of an entire facility from scratch or to test only certain new concepts. The hardware can be programmed via remote access from anywhere at any time, while live feedback is provided through a webcam and different other communication possibilities directly within the remote access application. While the Smart MiniFab was already the HW environment of different student projects, a new lab course is currently under development which enables the access to the Smart MiniFab for a broad number of students. © Springer International Publishing AG 2018.

关键词： Students

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Novel Solutions for Smart Cities - Creating Air Pollution Maps Based on Intelligent Sensors

Novel Solutions for Smart Cities - Creating Air Pollution Ma...

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Federated Conference on computer science and Information Systems

作者： Marzena Banach Tomasz Talaska Rafal Dlugosz Institute of Architecture and Spatial Planning Poznan University of Technology UTP University of Science and Technology Faculty of Telecommunication Computer Science and Electrical Engineering

ISBN: (纸本)9781538623718

The paper presents novel solutions for systems used to create air pollutions maps in smart cities. Ability to record pollution levels with a function of a short-term prediction of their fluctuations may be useful for cyclists and pedestrians moving through the city. Based on such data they can choose their route through the city in such a way, as to avoid the most polluted areas. Systems of this type are in the range of solutions characteristic for smart cities. Their effectiveness requires a relatively dense wireless sensor network (WSN) composed of miniaturized and cheap intelligent pollution sensors, capable not only of data recording and transmitting, but also of some data processing with the prediction abilities. Sensors of this type require a development of various circuit components that feature small sizes and ultra-low energy consumption. One of the main blocks, in this case, should be an artificial neural network (ANN) implemented at the transistor level. In this work, we present prototype circuits designed by us for the described purposes. The realized blocks include a finite impulse response (FIR) filter, programmable analog-to-digital converters (ADCs) with internal controlling clock generators and main building blocks of a parallel ANN. The specialized chips (ASIC - application specific integrated circuit) with the described components were implemented in the CMOS technology in the full custom style.

关键词： intelligent sensors Artificial neural networks Smart cities Air contamination application specific integrated circuits circuit element clock generator CMOS technology city Data logging Pollution levels Wireless sensor networks Cyclists IMPULSE RESPONSE Pedestrians

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Negative Refraction in Time-Varying Strongly Coupled Plasmonic-Antenna–Epsilon-Near-Zero Systems

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Physical Review Letters 2020年第4期124卷 043902-043902页

作者： V. Bruno C. DeVault S. Vezzoli Z. Kudyshev T. Huq S. Mignuzzi A. Jacassi S. Saha Y. D. Shah S. A. Maier D. R. S. Cumming A. Boltasseva M. Ferrera M. Clerici D. Faccio R. Sapienza V. M. Shalaev School of Physics and Astronomy University of Glasgow G12 8QQ Glasgow United Kingdom Purdue Quantum Science and Engineering Institute Purdue University 1205 West State Street West Lafayette Indiana 47907 USA School of Electrical and Computer Engineering and Birck Nanotechnology Center Purdue University 1205 West State Street West Lafayette Indiana 47907 USA The Blackett Laboratory Department of Physics Imperial College London London SW7 2BW United Kingdom Chair in Hybrid Nanosystems Nanoinstitute Munich Faculty of Physics Ludwig-Maxilimians-Universitat München 80539 München Germany School of Engineering University of Glasgow G12 8LT Glasgow United Kingdom Institute of Photonics and Quantum Sciences Heriot-Watt University EH14 4AS Edinburgh United Kingdom

Time-varying metasurfaces are emerging as a powerful instrument for the dynamical control of the electromagnetic properties of a propagating wave. Here we demonstrate an efficient time-varying metasurface based on plasmonic nano-antennas strongly coupled to an epsilon-near-zero (ENZ) deeply subwavelength film. The plasmonic resonance of the metal resonators strongly interacts with the optical ENZ modes, providing a Rabi level spitting of ∼30%. Optical pumping at frequency ω induces a nonlinear polarization oscillating at 2ω responsible for an efficient generation of a phase conjugate and a negative refracted beam with a conversion efficiency that is more than 4 orders of magnitude greater compared to the bare ENZ film. The introduction of a strongly coupled plasmonic system therefore provides a simple and effective route towards the implementation of ENZ physics at the nanoscale.

关键词： Nanophotonics Nonlinear optics Plasmonics Third order nonlinear optical processes Ultrafast optics

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AGlobal benchmark of algorithms for segmentinglate gadolinium-enhanced cardiac magnetic resonance imaging

arXiv

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arXiv 2020年

作者： Xiong, Zhaohan Xia, Qing Hu, Zhiqiang Huang, Ning Bian, Cheng Zheng, Yefeng Vesal, Sulaiman Ravikumar, Nishant Maier, Andreas Yang, Xin Heng, Pheng-Ann Ni, Dong Li, Caizi Tong, Qianqian Si, Weixin Puybareau, Elodie Khoudli, Younes Géraud, Thierry Chen, Chen Bai, Wenjia Rueckert, Daniel Xu, Lingchao Zhuang, Xiahai Luo, Xinzhe Jia, Shuman Sermesant, Maxime Liu, Yashu Wang, Kuanquan Borra, Davide Masci, Alessandro Corsi, Cristiana De Vente, Coen Veta, Mitko Karim, Rashed Preetha, Chandrakanth Jayachandran Engelhardt, Sandy Qiao, Menyun Wang, Yuanyuan Tao, Qian Nuñez-Garcia, Marta Camara, Oscar Savioli, Nicolo Lamata, Pablo Zhao, Jichao Auckland Bioengineering Institute University of Auckland Auckland New Zealand State Key Lab of Virtual Reality Technology and Systems Beihang University Beijing China School of Electronics Engineering and Computer Science Peking University Beijing China SenseTime Inc Shenzhen China Tencent Jarvis Laboratory Shenzhen China Pattern Recognition Lab Friedrich-Alexander-Universität Erlangen-Nürnberg Erlangen Germany Department of Computer Science and Engineering Chinese University of Hong Kong Hong Kong National-Regional Key Technology Engineering Laboratory for Medical Ultrasound School of Biomedical Engineering Shenzhen University Shenzhen China School of Computer Science Wuhan University Wuhan China Shenzhen Key Laboratory of Virtual Reality and Human Interaction Technology Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Shenzhen China Epita Research and Development Laboratory Paris France Department of Computing Imperial College London London United Kingdom School of Naval Architecture Shanghai Jiao Tong University Ocean & Civil Engineering Shanghai China School of Data Science Fudan University Shanghai China Epione Research Group Universite Cote d'Azur Inria Sophia Antipolis France Harbin Institute of Technology School of Computer Science and Technology Harbin China Department of Electric University of Bologna Electronic and Information Engineering Cesena Italy Department of Biomedical Engineering Eindhoven University of Technology Eindhoven Netherlands School of Biomedical Engineering and Imaging Sciences Kings College London London United Kingdom Faculty of Electrical Engineering and Information Technology University of Magdeburg Magdeburg Germany Heidelberg University Hospital Germany Biomedical Engineering Center Fudan University Shanghai China Department of Radiology Leiden University Medical Center Leiden Netherlands Department of Information and Communication Technologies Universitat Pompeu Fabra Barcelona Spain D

Segmentation of cardiac images, particularly late gadolinium-enhanced magnetic resonance imaging (LGE-MRI)widely used for visualizing diseased cardiacstructures, is a crucial first step for clinical diagnosis and treatment. However, direct segmentation ofLGE-MRIsischallenging due to *** most clinical studies have relied on manual and labor-intensive approaches, automatic methods are of high interest, particularly optimized machine learning *** address this, we organized the "2018 Left Atrium Segmentation Challenge" using 154 3D LGE-MRIs, currently the world's largest cardiac LGE-MRI dataset, and associated labels of the left atriumsegmented by three medical experts,ultimately attractingthe participation of27 international teams. In this paper, extensive analysis of the submitted algorithms using technical and biological metrics was performed by undergoing subgroup analysis and conducting hyper-parameter analysis,offeringan overall picture ofthe major design choices of convolutional neural networks(CNNs) and practical considerations for achieving state-of-the-art left atrium segmentation. Results show the top methodachieved a dice score of 93.2%and a mean surface to a surface distance of 0.7mm, significantly outperforming prior state-of-the-art. Particularly, our analysisdemonstrated that double, sequentially usedCNNs, in which a first CNN is used for automatic region-of-interestlocalization and a subsequent CNN is used for refinedregional segmentation, achieved far superiorresults than traditional methods and pipelinescontaining *** findings from this study can potentially be extended to other imaging datasets and modalities, having an impact on the wider medical imaging *** large-scale benchmarking study makes a significant step towards much-improved segmentation methods for cardiac LGE-MRIs, and will serveas animportant benchmark for evaluating and comparing the future works in the field. Copyright © 2020, Th

关键词： Magnetic resonance imaging

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