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Medical Imaging 2019: Ultrasonic Imaging and Tomography

作者： Carevia, Anita Yun, Xingzhao Almekkawy, Mohamed University of Split Faculty of Electrical Engineering Mechanical Engineering and Naval Architecture Split Croatia Penn State University School of Electrical Engineering and Computer Science University Park United States

ISBN: (数字)9781510625587

ISBN: (纸本)9781510625570

One of the most powerful approach in ultrasound tomography (UT) is making use of distorted Born iterative (DBI) method to reconstruct high quality image in order to help locate and identify tumors more precisely. Due to its iterative nature, it begins with Born approximation as the initial guess. Then, it makes use of the inhomogeneous Greens function, as the kernel function, to alternatively calculate the total field for the forward problem and the scattering function for the inverse problem. One principal computational problem involved is that inverse problem is ill-posed, which will result in divergence of the DBI method if inappropriate regularization is used. This paper presents the regularization with truncated total least square (TTLS) where the adaptive algorithm is used to choose the regularization parameter in each iteration of DBI instead of using a fixed truncated value in all the iterations. In order to prevent the solution from being contaminated by noise, adaptive algorithm truncates the smallest singular values while minimizing the loss of signal obtained from transducers. Numerical simulations demonstrate that the proposed adaptive algorithm in conjunction with TTLS outperform TTLS with fixed truncation parameter by effectively reducing the noise and minimizing the relative error. © 2019 SPIE.

关键词： Inverse problems

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A moving least-square approach for current slope estimation in an inverter fed IPMSM using field programmable gateway arrays

A moving least-square approach for current slope estimation ...

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International Conference on electrical Machines, ICEM

作者： J. P. Degel S. Haehnlein C. Kloeffer M. Doppelbauer chair of the Electrical Technical Institute (ETI) Karlsruhe Institute of Technology (KIT) of Karlsruhe Germany faculty of electrical engineering medical technology and computer science (EMI) Hochschule Offenburg of Offenburg Germany

ISBN: (数字)9781728199450

ISBN: (纸本)9781728199467

In this work a method for the estimation of current slopes induced by inverters operating interior permanent magnet synchronous machines is presented. After the derivation of the estimation algorithm, the requirements for a suitable sensor setup in terms of accuracy, dynamic and electromagnetic interference are discussed. The boundary conditions for the estimation algorithm are presented with respect to application within high power traction systems. The estimation algorithm is implemented on a field programmable gateway array. This moving least-square algorithm offers the advantage that it is not dependent on vectors and therefore not every measured value has to be stored. The summation of all measured values leads to a significant reduction of the required storage units and thus decreases the hardware requirements. The algorithm is designed to be calculated within the dead time of the inverter. Appropriate countermeasures for disturbances and hardware restrictions are implemented. The results are discussed afterwards.

关键词： Current measurement Switches Voltage measurement Mathematical model Estimation Magnetic field measurement Field programmable gate arrays

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On the Comparison of Classic and Deep Keypoint Detector and Descriptor Methods

arXiv

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arXiv 2020年

作者： Bojanić, David Bartol, Kristijan Pribanić, Tomislav Petković, Tomislav Donoso, Yago Diez Mas, Joaquim Salvi University of Zagreb Faculty of Electrical Engineering and Computing Zagreb Croatia Yamagata University Faculty of Science Yamagata Japan University of Girona Department of Computer Architecture and Technology Girona Spain

The purpose of this study is to give a performance comparison between several classic hand-crafted and deep keypoint detector and descriptor methods. In particular, we consider the following classical algorithms: SIFT, SURF, ORB, FAST, BRISK, MSER, HARRIS, KAZE, AKAZE, AGAST, GFTT, FREAK, BRIEF and RootSIFT, where a subset of all combinations is paired into detector-descriptor pipelines. Additionally, we analyze the performance of two recent and perspective deep detector-descriptor models, LF-Net and SuperPoint. Our benchmark relies on the HPSequences dataset that provides real and diverse images under various geometric and illumination changes. We analyze the performance on three evaluation tasks: keypoint verification, image matching and keypoint retrieval. The results show that certain classic and deep approaches are still comparable, with some classic detector-descriptor combinations overperforming pretrained deep models. In terms of the execution times of tested implementations, SuperPoint model is the fastest, followed by ORB. The source code is published on https://***/kristijanbartol/keypoint-algorithms-benchmark. Copyright © 2020, The Authors. All rights reserved.

关键词： Deep learning

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Machine Learning Approach to Enhance the Performance of MNP?Labeled Lateral Flow Immunoassay

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Nano-Micro Letters 2019年第1期11卷 132-146页

作者： Wenqiang Yan Kan Wang Hao Xu Xuyang Huo Qinghui Jin Daxiang Cui Department of Instrument Science and Engineering School of Electronic Information and Electrical Engineering Shanghai Engineering Research Center for Intelligent Diagnosis and Treatment InstrumentKey Laboratory of Thin Film and Microfabrication (Ministry of Education) Shanghai Jiao Tong University School of Naval Architecture Ocean and Civil Engineering Shanghai Jiao Tong University Department of Biomedical Engineering JiLin Medical University State Key Laboratory of Transducer Technology Shanghai Institute of Microsystem and Information Technology Chinese Academy of Sciences Faculty of Electrical Engineering and Computer Science Ningbo University

The use of magnetic nanoparticle(MNP)-labeled immunochromatography test strips(ICTSs) is very important for point-ofcare testing(POCT). However, common diagnostic methods cannot accurately analyze the weak magnetic signal from ICTSs, limiting the applications of POCT. In this study, an ultrasensitive multiplex biosensor was designed to overcome the limitations of capturing and normalization of the weak magnetic signal from MNPs on ICTSs. A machine learning model for sandwich assays was constructed and used to classify weakly positive and negative samples, which significantly enhanced the specificity and sensitivity. The potential clinical application was evaluated by detecting 50 human chorionic gonadotropin(HCG) samples and 59 myocardial infarction serum samples. The quantitative range for HCG was 1–1000 mIU mL^(-1) and the ideal detection limit was 0.014 mIU mL^(-1), which was well below the clinical threshold. Quantitative detection results of multiplex cardiac markers showed good linear correlations with standard values. The proposed multiplex assay can be readily adapted for identifying other biomolecules and also be used in other applications such as environmental monitoring, food analysis, and national security.

关键词： Point-of-care testing Immunochromatography test strips Magnetic nanoparticles Machine learning Support vector machine

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Solutions for planning smart hybrid public transportation system based on Google Maps and Voronoi diagrams

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Journal of Computational and Applied Mathematics 2026年 472卷

作者： Marzena Banach Rafał Długosz Poznan University of Technology Institute of Architecture and Physical Planning Poland Bydgoszcz University of Science and Technology Faculty of Telecommunications Computer Science and Electrical Engineering ul. Al. Prof. S. Kaliskiego 7 85-796 Bydgoszcz Poland Aptiv Services Poland Technical Centre Kraków Poland

One of the most important aspects related to the subject of smart cities is the so-called intelligent transportation system (ITS). The word intelligent should primarily mean adapting this system to the needs of the largest possible number of residents of a given agglomeration. Hybrid transport with an element of autonomous transport may be its more interesting option. This applies in particular to such vehicles, whose routes can be controlled by the local vehicle-to-infrastructure (V2I) communication system. In this paper, we present the results of a work constituting a kind of theoretical foundation for such a system. In this case, we based our solutions on Google maps, but also on a detailed analysis of local conditions for a given agglomeration. In the analysis, we took into account the distances from suburban towns to railway stations, but also the availability of parking lots. In the presented concept, autonomous transport could be used in a much less complex suburban environment than within the cities. The aforementioned mathematical analysis is based on a concept of Voronoi diagrams, in which particular suburban railway stations are treated as local attractors. In this approach we used the Google Maps engine in one of its stages, which allows determining road distances and travel times between particular towns and nearby railway stations. Each agglomeration is different, so it is worth presenting the concept on selected examples. In this work, we based it on the example of the city of Poznań and its agglomeration in Poland.

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Comparison of Feedback Approaches to Improve Training in Partial Weight-Bearing

Comparison of Feedback Approaches to Improve Training in Par...

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

作者： Ian Smith Satinder Gill Scott Bateman Erik Scheme Institute of Biomedical Engineering (IBME) University of New Brunswick (UNB) Fredericton Canada PDF with the IBME at UNB Faculty of Computer Science at UNB Department of Electrical and Computer Engineering at UNB New Brunswick Innovation Research Chair in Medical Devices and Technologies at the IBME

ISBN: (数字)9781728119908

ISBN: (纸本)9781728119915

Assistive devices, including canes or crutches, are used in partial weight-bearing (PWB) to offload weight from limbs weakened by disease or injury, promote recovery, and prevent reinjury. While weight must be offloaded accurately to target loads prescribed by healthcare providers for maximum benefit, current training methods result in poor adherence. It is, however, currently unknown how best to provide feedback during training so that users can build an accurate internal model for PWB. In this work, we investigate seven feedback schemes using an instrumented cane, which vary the modality, timing, and the level of detail provided. We find that auditory schemes and a retrospective visual scheme outperform current clinical practices for PWB training. These findings provide results that can be applied directly to improve current clinical practices and provide valuable new insight into the design of feedback for training internal models in force-based motor control tasks. Clinically, this work presents a simple modification to clinical PWB training practices that can improve compliance by up to 75%, positively influencing rehabilitation outcomes and reducing the risk of complications.

关键词： Training Visualization Bandwidth Haptic interfaces Loading Instruments Task analysis

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On the comparison of classic and deep keypoint detector and descriptor methods 11

On the comparison of classic and deep keypoint detector and ...

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11th International Symposium on Image and Signal Processing and Analysis, ISPA 2019

作者： Bojanic, David Bartol, Kristijan Pribanic, Tomislav Petkovic, Tomislav Donoso, Yago Diez Mas, Joaquim Salvi Faculty of Electrical Engineering and Computing University of Zagreb Zagreb EU Croatia Faculty of Science Yamagata University Yamagata Japan University of Girona Department of Computer Architecture and Technology Girona EU Spain

ISBN: (纸本)9781728131405

The purpose of this study is to give a performance comparison between several classic hand-crafted and deep key-point detector and descriptor methods. In particular, we consider the following classical algorithms: SIFT, SURF, ORB, FAST, BRISK, MSER, HARRIS, KAZE, AKAZE, AGAST, GFTT, FREAK, BRIEF and RootSIFT, where a subset of all combinations is paired into detector-descriptor pipelines. Additionally, we analyze the performance of two recent and perspective deep detector-descriptor models, LF-Net and SuperPoint. Our benchmark relies on the HPSequences dataset that provides real and diverse images under various geometric and illumination changes. We analyze the performance on three evaluation tasks: keypoint verification, image matching and keypoint retrieval. The results show that certain classic and deep approaches are still comparable, with some classic detector-descriptor combinations overperforming pretrained deep models. In terms of the execution times of tested implementations, SuperPoint model is the fastest, followed by ORB. © 2019 IEEE.

关键词： Deep learning

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Centerline Tracking of the Single Coronary Artery from X-ray Angiograms

Centerline Tracking of the Single Coronary Artery from X-ray...

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International Symposium on Electronics in Marine (ELMAR)

作者： Marija Habijan Danilo Babin Irena Galíc Hrvoje Leventić Lazar Velicki Milenko Čanković Faculty of Electrical Engineering Computer Science and Information Technology Osijek 31000 Osijek Croatia imec-TELIN-IPI Faculty of Engineering and Architecture imec-Ghent University Belgium Medical Faculty University of Novi Sad Sremska Kamenica Serbia

ISBN: (数字)9781728159737

ISBN: (纸本)9781728162058

Accurate determination of physiology and morphology of individual coronary artery is a prerequisite for its quantification as well as for planning procedures such as angioplasty. Therefore, in this paper, we propose a semi-automatic method for centerline extraction and tracking of the single coronary artery. Our approach is based on ridge edge detection and thresholding, after which the centerline of a vessel tree is extracted using skeletonization. After that, we manually select two points: at the start and the end of the single coronary artery. Finding the shortest path between selected points is used for single coronary centerline extraction. Finally, the template matching of selected points allows centerline tracking through the whole sequence. Obtained results show successful centerline extraction and tracking with satisfactory accuracy, precision, sensitivity and F1-score, of 81%, 79%, 81% and 0.76, respectively.

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Classification of spot-welded joints in laser thermography data using convolutional neural networks

arXiv

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arXiv 2020年

作者： Kästner, Linh Ahmadi, Samim Jonietz, Florian Ziegler, Mathias Jung, Peter Caire, Giuseppe Lambrecht, Jens Chair Industry Grade Networks and Clouds Faculty of Electrical Engineering and Computer Science Berlin Institute of Technology Berlin Germany Bundesanstalt für Materialforschung Berlin Germany Chair Communication and Information Theory Berlin Institute of Technology Berlin Germany

Spot welding is a crucial process step in various industries. However, classification of spot welding quality is still a tedious process due to the complexity and sensitivity of the test material, which drain conventional approaches to its limits. In this paper, we propose an approach for quality inspection of spot weldings using images from laser thermography data. We propose data preparation approaches based on the underlying physics of spot welded joints, heated with pulsed laser thermography by analyzing the intensity over time and derive dedicated data filters to generate training datasets. Subsequently, we utilize convolutional neural networks to classify weld quality and compare the performance of different models against each other. We achieve competitive results in terms of classifying the different welding quality classes compared to traditional approaches, reaching an accuracy of more than 95 percent. Finally, we explore the effect of different augmentation methods. Copyright © 2020, The Authors. All rights reserved.

关键词： Spot welding

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Thermodynamic Analysis of a Jet Engine Using a Liquid Propellant

Research Square

引用

Research Square 2022年

作者： Alliche, Mounir Rebhi, Redha Inc, Mustafa Kidar, Ali Menni, Younes Ameur, Houari Lorenzini, Giulio Alsharif, Sameer Althobaiti, Ahmed Aly, Ayman A. Department of Mechanical Engineering Faculty of Technology University Yahia Fares of Medea Medea26000 Algeria Department of Computer Engineering Biruni University Istanbul Turkey Department of Mathematics Science Faculty Firat University Elazig23119 Turkey Department of Medical Research China Medical University Hospital China Medical University Taichung40402 Taiwan Faculty of Exact Sciences and Informatics Ziane Achour University of Djelfa Algeria Faculty of Technology Ziane Achour University of Djelfa Algeria Unit of Research on Materials and Renewable Energies Department of Physics Faculty of Sciences Abou Bekr Belkaid University P.O. Box 119 Tlemcen13000 Algeria Department of Technology University Centre of Naama - Salhi Ahmed P.O. Box 66 Naama 45000 Algeria Department of Engineering and Architecture University of Parma Parco Area Delle Scienze 181/A Parma43124 Italy Department of Computer Engineering College of Computers and Information Technology Taif University P.O. Box 11099 Taif21944 Saudi Arabia Department of Electrical Engineering College of Engineering Taif University Taif21944 Saudi Arabia Department of Mechanical Engineering College of Engineering Taif University Taif21944 Saudi Arabia

Combustion-chamber is a critical component of the propulsion engine, which is widely used in the space industry and aeronautics. The goal of this article is to perform a numerical-analysis on the combustion process using a liquid-type propellant. The steps that must be followed until total combustion is achieved are emphasized. It concerns the fuel feeding phase, its injection and the combustion operation. The amount of combustion products and the energy generated are evaluated. It has been shown that the liquid propellant may present an efficient alternative fuel than the kerosene. In addition, the temperature of combustion does not exceed a certain limit to avoid structural problems in the chamber. The parametric survey allowed determining the range of the most influence factors, including the pressure, mixture richness, velocity and flow rates of injection for the fuel and oxidizer. The number and type of injectors revealed a considerable influence on the velocity and flow rates of injection. To maximize thrust force and system propulsion, a careful selection of chamber material and ignition methods is required. A thorough inspection on the issues of walls cooling showed the necessary survey of maximum temperatures that may be reached during the combustion. Finally, an investigation of the thermal exchange through the walls will be very interesting. © 2022, CC BY.

关键词： Surveys

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