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49th Annual Conference of the IEEE Industrial Electronics Society, IECON 2023

作者： Hosseinabadi, Pooyan Alinaghi Kermadi, Mostefa Pota, Hemanshu Mekhilef, Saad Abadi, Ali Soltani Sharif The School of Engineering and Information Technology The University of New South Wales CanberraACT Australia Kuala Lumpur Malaysia The School of Science Computing and Engineering Technologies Swinburne University of Technology HawthornVIC3122 Australia Institute of Automatic Control and Robotics Warsaw University of Technology Faculty of Mechatronics Warsaw Poland

ISBN: (纸本)9798350331820

This paper proposes and experimentally implements new phase-locked loop algorithms using non-adaptive and adaptive terminal sliding modes for the three-phase grid-connected inverters. The proposed algorithms aim to extract the grid voltage phase and frequency and provide them for the inverter controller. The proposed sliding mode-based PLL algorithms provide faster, more robust, and more accurate detection of the grid voltage information compared to the conventional PI-PLL. This leads to better current controller performance and subsequently, improves the quality of the injected currents into the grid. The finite-time stability notion is incorporated with robust sliding modes to ensure a fast convergence rate. An adaptive law is proposed to determine a proper value for the switching gain which leads to a better overall performance of the PLL compared with a non-adaptive one. The Lyapunov stability theory is used to obtain the stability proofs of the closed-loop systems under both designed sliding modes-based PLLs. The proposed PLL algorithms are validated by simulation and experimental results for the three-phase grid-connected inverter under normal and various abnormal grid conditions. © 2023 IEEE.

关键词： Phase locked loops

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Voice Recording Setup in Clinical Practice 6th

Voice Recording Setup in Clinical Practice

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6th Computational Methods in Systems and Software, CoMeSySo 2022

作者： Steinbach, Jakub Vrba, Jan Urbániová, Zuzana Department of Computing and Control Engineering University of Chemistry and Technology in Prague Technická 1905/5 166 28 Praha 6 Prague Czech Republic 3rd Faculty of Medicine Department of Otorhinolaryngology University Hospital Královské Vinohrady Charles University Staré Město Czech Republic

ISBN: (纸本)9783031214349

In this article, we introduce a novel voice recording setup in clinical practice. The aim of this setup is to take recordings of patients who underwent a surgery on vocal cords. The setup utilizes only one microphone for recording so no sound level meter measurement and calibration are required, as we want to emulate conditions where patients are taking their recording at home using smartphones or headsets. We also introduce a software for clinical practice that allows physicians to manage simple patient information and take recordings of their voice. Lastly, we propose the sequence of sounds and sentences that patients should say. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Hardware Otorhinolaryngology Voice cords Voice processing Voice recording

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Optimization of Electrocardiogram Classification Using Dipper Throated Algorithm and Differential Evolution

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Computers, Materials & Continua 2023年第2期74卷 2379-2395页

作者： Doaa Sami Khafaga El-Sayed M.El-kenawy Faten Khalid Karim Sameer Alshetewi Abdelhameed Ibrahim Abdelaziz A.Abdelhamid D.L.Elsheweikh Department of Computer Sciences College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Communications and Electronics Delta Higher Institute of Engineering and TechnologyMansoura35111Egypt Faculty of Artificial Intelligence Delta University for Science and TechnologyMansoura35712Egypt General Information Technology Department Ministry of DefenseThe Executive AffairsExcellence Services DirectorateRiyadh11564Saudi Arabia Computer Engineering and Control Systems Department Faculty of EngineeringMansoura UniversityMansoura35516Egypt Department of Computer Science Faculty of Computer and Information SciencesAin Shams UniversityCairo11566Egypt Department of Computer Science College of Computing and Information TechnologyShaqra University11961Saudi Arabia Department of Computer Science Faculty of Specific EducationMansoura UniversityEgypt

Electrocardiogram(ECG)signal is a measure of the heart’s electrical ***,ECG detection and classification have benefited from the use of computer-aided systems by *** goal of this paper is to improve the accuracy of ECG classification by combining the Dipper Throated Optimization(DTO)and Differential Evolution Algorithm(DEA)into a unified algorithm to optimize the hyperparameters of neural network(NN)for boosting the ECG classification *** addition,we proposed a new feature selection method for selecting the significant feature that can improve the overall *** prove the superiority of the proposed approach,several experimentswere conducted to compare the results achieved by the proposed approach and other competing ***,statistical analysis is performed to study the significance and stability of the proposed approach using Wilcoxon and ANOVA *** results confirmed the superiority and effectiveness of the proposed *** classification accuracy achieved by the proposed approach is(99.98%).

关键词： Electrocardiogram differential evolution algorithm dipper throated optimization neural networks

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Hybrid Dipper Throated and Grey Wolf Optimization for Feature Selection Applied to Life Benchmark Datasets

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Computers, Materials & Continua 2023年第2期74卷 4531-4545页

作者： Doaa Sami Khafaga El-Sayed M.El-kenawy Faten Khalid Karim Mostafa Abotaleb Abdelhameed Ibrahim Abdelaziz A.Abdelhamid D.L.Elsheweikh Department of Computer Sciences College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Communications and Electronics Delta Higher Institute of Engineering and TechnologyMansoura35111Egypt Faculty of Artificial Intelligence Delta University for Science and TechnologyMansoura35712Egypt Department of System Programming South Ural State UniversityChelyabinsk454080Russia Computer Engineering and Control Systems Department Faculty of EngineeringMansoura UniversityMansoura35516Egypt Department of Computer Science Faculty of Computer and Information SciencesAin Shams UniversityCairo11566Egypt Department of Computer Science College of Computing and Information TechnologyShaqra University11961Saudi Arabia Department of Computer Science Faculty of Specific EducationMansoura UniversityEgypt

Selecting the most relevant subset of features from a dataset is a vital step in data mining and machine *** feature in a dataset has 2n possible subsets,making it challenging to select the optimum collection of features using typical *** a result,a new metaheuristicsbased feature selection method based on the dipper-throated and grey-wolf optimization(DTO-GW)algorithms has been developed in this *** can result when the selection of features is subject to metaheuristics,which can lead to a wide range of ***,we adopted hybrid optimization in our method of optimizing,which allowed us to better balance exploration and harvesting chores more *** propose utilizing the binary DTO-GW search approach we previously devised for selecting the optimal subset of *** the proposed method,the number of features selected is minimized,while classification accuracy is *** test the proposed method’s performance against eleven other state-of-theart approaches,eight datasets from the UCI repository were used,such as binary grey wolf search(bGWO),binary hybrid grey wolf,and particle swarm optimization(bGWO-PSO),bPSO,binary stochastic fractal search(bSFS),binary whale optimization algorithm(bWOA),binary modified grey wolf optimization(bMGWO),binary multiverse optimization(bMVO),binary bowerbird optimization(bSBO),binary hysteresis optimization(bHy),and binary hysteresis optimization(bHWO).The suggested method is superior 4532 CMC,2023,vol.74,no.2 and successful in handling the problem of feature selection,according to the results of the experiments.

关键词： Metaheuristics dipper throated optimization grey wolf optimization binary optimizer feature selection

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Dipper Throated Algorithm for Feature Selection and Classification in Electrocardiogram

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Computer Systems Science & Engineering 2023年第5期45卷 1469-1482页

作者： Doaa Sami Khafaga Amel Ali Alhussan Abdelaziz A.Abdelhamid Abdelhameed Ibrahim Mohamed Saber El-Sayed M.El-kenawy Department of Computer Sciences College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Computer Science Faculty of Computer and Information SciencesAin Shams University11566CairoEgypt Department of Computer Science College of Computing and Information TechnologyShaqra University11961Saudi Arabia Computer Engineering and Control Systems Department Faculty of EngineeringMansoura UniversityMansoura35516Egypt Electronics and Communications Engineering Department Faculty of EngineeringDelta University for Science and TechnologyMansouraEgypt Department of Communications and Electronics Delta Higher Institute of Engineering and TechnologyMansoura35111Egypt Faculty of Artificial Intelligence Delta University for Science and TechnologyMansoura35712Egypt

Arrhythmia has been classified using a variety of *** of the dynamic nature of electrocardiogram(ECG)data,traditional handcrafted approaches are difficult to execute,making the machine learning(ML)solutions more *** with cardiac arrhythmias can benefit from competent monitoring to save their *** arrhythmia classification and prediction have greatly improved in recent *** are a category of conditions in which the heart's electrical activity is abnormally rapid or *** year,it is one of the main reasons of mortality for both men and women,*** the classification of arrhythmias,this work proposes a novel technique based on optimized feature selection and optimized K-nearest neighbors(KNN)*** proposed method makes advantage of the UCI repository,which has a 279-attribute high-dimensional cardiac arrhythmia *** proposed approach is based on dividing cardiac arrhythmia patients into 16 groups based on the electrocardiography dataset’s *** purpose is to design an efficient intelligent system employing the dipper throated optimization method to categorize cardiac arrhythmia *** method of comprehensive arrhythmia classification outperforms earlier methods presented in the *** achieved classification accuracy using the proposed approach is 99.8%.

关键词： Feature selection electrocardiogram metaheuristics dipper throated algorithm

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Improving Lane Annotation in Autonomous Driving Data Sets with Classical Computer Vision Techniques

Improving Lane Annotation in Autonomous Driving Data Sets wi...

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Zooming Innovation in Consumer Electronics International Conference (ZINC)

作者： Dimitrije Stojanović Nenad Četić Jelena Kocić Bogdan Pavković Departmant of Computing and Control Engineering Faculty of Technical Sciences University of Novi Sad Novi Sad Serbia TTTech Auto Customer Programs Belgrade Serbia

Autonomous driving systems rely on accurate and reliable lane detection to safely navigate roads. In this paper, we propose a method for improving lane annotation in autonomous driving data sets using classical computer vision techniques. The proposed method combines the Hough transform and linear curve fitting to detect and smooth the positions of lane markings in a video stream. We evaluate the performance of the proposed method on the Berkeley DeepDrive (BDD) dataset and compare it to the ground truth annotations. Results show that the proposed method achieves a high level of accuracy and robustness in lane detection, and can effectively improve lane annotation in autonomous driving data sets. Our method provides a valuable tool for training and evaluating autonomous driving systems, and can also be applied to improve annotation in different datasets.

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Intraoral scanner and stereographic 3D print in prosthodontics: three-year evaluation of in vitro and in vivo approaches

Intraoral scanner and stereographic 3D print in prosthodonti...

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Imaging, Therapeutics, and Advanced Technology in Head and Neck Surgery and Otolaryngology 2024

作者： Dostalova, Tatjana Nocar, Adam Eliasova, Hana Macek, Milan Hliňáková, Petra Procházka, Aleš Department of Stomatology Charles University 2nd Faculty of Medicine Motol University Hospital Prague V Uvalu 84 Prague150 06 Czech Republic Department of Biology and Medical Genetics Charles University 2nd Faculty of Medicine Motol University Hospital Prague V Uvalu 84 Prague150 06 Czech Republic Department of Computing and Control Engineering University of Chemistry and Technology in Prague Prague166 28 Czech Republic

ISBN: (纸本)9781510668959

In prosthodontics, 3D printing primarily relies on intraoral scanners equipped with a handheld camera, computer, and software. These scanners capture and reconstruct the three-dimensional geometry of the dental arch. Traditional plaster models of teeth are typically obtained through an impression process, where the choice of appropriate impression material is determined by the desired model type. Subsequently, the dental impression is covered with plaster in the laboratory. Three-dimensional (3D) printing, formerly an industrial technology with a development history spanning over forty years, is based on creating a 3D model of any shape from a digitally prepared scan, employing an addition of selected material. The thickness of the layers in the printing process depends on the technology of the used printer and the quality of the print. The layers are systematically applied, and cured, and, after this process, a complete model is generated. 3D printing can be utilized to prepare models for various applications, including prosthodontics, orthodontics, surgery, and more. Our study aimed to assess stereolithography-printed models in vitro and in vivo over the last three years. © 2024 SPIE.

关键词： Dentistry

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Kalman Filter Based Sensor Fusion for Omnidirectional Mechatronic System 35

Kalman Filter Based Sensor Fusion for Omnidirectional Mechat...

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35th International Conference on Power Electronics and Electrical Drives, EDPE 2021

作者： Korotaj, Blaž Novoselnik, Branimir Baotić, Mato Department of Control and Computer Engineering Faculty of Electrical Engineering and Computing University of Zagreb Zagreb Croatia

The paper describes the sensor fusion for the newly developed omnidirectional mechatronic system. To that end, the kinematic model of the platform and the chosen configuration of omnidirectional Mecanum wheels is described, as well as the principle of operation of all system sensors. The expressions are given for a discrete linear Kalman filter that fuses measurements of a magnetometer and gyroscope, and for a discrete extended Kalman filter that estimates position and orientation of the platform using additional accelerometer measurements. To be able to express the measurement equation four additional states are added to the system model. The developed sensor fusion algorithm was implemented in MATLAB/Simulink programming environment, and very accurate simulation results are reported for estimation of position and orientation of the system. Finally, the real time experimental results are reported for a prototype of the omnidirectional mobile mechatronic system. ©2021 IEEE.

关键词： Discrete extended Kalman filter Mobile mechatronic system Omnidirectional drive Sensor fusion State estimation

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Analysis of hyperbolic reflections amplitudes in GPR data

Analysis of hyperbolic reflections amplitudes in GPR data

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International Conference on Telecommunications and Signal Processing (TSP)

作者： Ž eljko Bugarinović Aleksandar Ristić Milan Vrtunski Miro Govedarica Department for computing and control engineering Faculty of technical sciences University of Novi Sad Novi Sad Serbia

ISBN: (数字)9781665469487

ISBN: (纸本)9781665469494

In this paper an analysis of the amplitude of the reflected signal in extracted points on hyperbolic reflections from radargram is presented. Currently, many papers deal with the automated search for hyperbola peak in radargram. On the other hand, according to the authors' best knowledge, there is an insufficient number of papers related to the extraction of points on hyperbolas prongs, even though they can be used to determine additional information, such as the radius of detected pipe or cable. In the first part of this paper a procedure for extraction of coordinates of points on hyperbolic reflections prongs. Second part of the paper contains more detailed analysis of the value of the reflected signal of extracted points in relation to different values of acquisition parameters. This analysis has two goals: (1) to conclude which parameter has the biggest influence to amplitude and (2) to determine whether an amplitude based stopping criteria for point extraction can be established.

关键词： Dielectric constant Program processors Signal processing algorithms Signal processing Market research Reflection Real-time systems

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Validation of two-wire power line UAV localization based on the magnetic field strength

Validation of two-wire power line UAV localization based on ...

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International Conference on Unmanned Aircraft Systems (ICUAS)

作者： Goran Vasiljević Dean Martinović Matko Batoš Stjepan Bogdan Faculty of Electrical Engineering and Computing Laboratory for Robotics and Intelligent Control Systems University of Zagreb Zagreb Croatia

ISBN: (数字)9781665405935

ISBN: (纸本)9781665405942

In this paper we extend our previous work on UAV localization based on the magnetic field strength. The method is based on a magnetic flux density distribution in vicinity of two very long, thin and parallel transmission lines. An UAV is equipped with 4 magnetometers, positioned so that obtained measurements give unique solution to an optimization problem used to find relative position and orientation of the UAV with respect to conductors. Several sets of experiments, undertaken on a laboratory setup, confirmed validity of the method for both solutions - analytical and numerical optimization. Obtained results, compared with high precision motion capture system, are within range of standard RTK positioning.

关键词： Location awareness Magnetic field measurement Power measurement Magnetometers Current measurement Wires Transmission line measurements

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