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IEEE Conference on Vehicular Technology (VTC)

作者： Daniel V. De Lima João Paulo J. Da Costa Ricardo K. Miranda Antonio Arlis S. Da Silva Giovanni A. Santos José Alfredo R. Vargas Auzuir R. De Alexandria Postgraduate Program in Telecommunications Engineering (PPGET) IFCE Fortaleza Brazil Hamm-Lippstadt University of Applied Sciences (HSHL) Lippstadt Germany Graduate School for Applied Research in North Rhine-Westphalia (PKNRW) Bochum Germany Karlsruhe Institute of Technology (KIT) Karlsruhe Germany Graduate Program in Computing (PPGC) UFRGS Porto Alegre Brazil Postgraduate Program in Mechatronics Engineering (PPMEC) UnB Brasilia Brazil

ISBN: (数字)9798350387414

ISBN: (纸本)9798350387421

Vehicle-to-Everything (V2X) networks require low-latency communications utilizing a broad spectrum while operating under jamming. In this sense, low complexity antenna array-based broadband jamming mitigation schemes are crucial in order to allow low latency communication and low-cost hardware. In this paper we propose low-complexity algorithms for signal recovery in broadband processing scenario applied to V2X. Numerical simulation of a jamming scenario demonstrate the proposed algorithm achieving the same performance in terms of signal-to-interference plus noise ratio (SINR) as the state-of-the-art while taking signiflcantly less time to compute.

关键词： Heuristic algorithms Prevention and mitigation Interference Numerical simulation Broadband communication Broadband antennas Jamming

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A Modified Radiopropagation Multipath Model for Constant Refractivity Gradient Profiles

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Journal of Microwaves, Optoelectronics and Electromagnetic Applications 2023年第2期22卷 298-312页

作者： Parada, D. Rego, C.G. Guevara, D. Navarro, A. Ramos, G.L. Oliveira, R. Graduate Program in Electrical Engineering Universidade Federal de Minas Gerais Av. Antônio Carlos 6627 MG Belo Horizonte Brazil Departament of Electronics Engineering Universidade Federal de Minas Gerais MG Belo HorizonteCEP 31270-901 Brazil Departament of Electricity and Electronics Universidad Francisco de Paula Santander Norte de Santander CúcutaCEP 540003 Colombia Departament of Information and Communication Technologies Universidad ICESI Cali Valle del CaucaCEP 760031 Colombia Departament of Telecommunications and Mechatronics Engineering Federal University of São João del-Rei MG Ouro BrancoCEP 36415-000 Brazil

This paper presents a radiopropagation algorithm based on a Ray Tracing (RT) technique that combines a modified multipath model for constant refractivity gradient profiles and the Uniform Theory of Diffraction (UTD). A novel formulation is proposed by the authors for calculation and ground-reflection analysis of ray paths depending on atmospheric refractivity. The algorithm introduced herein was evaluated in a mixed scenario and in two more realistic case studies, under conditions of constant refractivity gradient and lossy terrain profiles. Pathloss results are obtained and compared with Parabolic Equation (PE) numerical solution results at 2.0 GHz, 3.5 GHz and 5.4 GHz. In such conditions, the modified radiopropagation multipath algorithm with atmospheric refractivity introduced herein showed satisfactory results. © 2023 SBMO/SBMag.

关键词： Refraction

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mechatronics Design of Wheeled Mobile Robotic System for Gutter Maintenance

Mechatronics Design of Wheeled Mobile Robotic System for Gut...

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IEEE International Congress on Electronics, Electrical engineering and Computing (INTERCON)

作者： Mario Arbulu Geyni Arias Brayan Iñiguez Sofia Dussan Ricardo Barreto José Cornejo Mechatronics Engineering Program CORHUILA Colombia Industrial Engineering Program CORHUILA Colombia R&D Department Robotics 4.0 Colombia Center for Space Emerging Technologies Universidad Nacional de Ingeniería Lima Peru Universidad Tecnológica del Perú Lima Peru

This paper deals with the challenges involved on roof building gutter maintenance robot design, from the problem statement of secure teleoperated semiautonomous navigation on confined gutter spaces, and the best selection of right mechatronics brush to remove the waste on gutter surface; Two concept design have been tested: Passive Brush with Parallel locomotion (PBP), and Active Brush Axial (ABA). The results on our development are shown, as following: secure robot lifting regulation, simulation environment, HMI to teleoperate, mechatronics design. Finally, some tests on simulations and current prototypes are shown, to validate our proposal, and the conclusion that the ABA design allows to remove until 85% gutter waste, instead of PBP design; furthermore, the ABA allows independent brush rotation velocity, instead of PBP design.

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Effect of Wire Size and Slot Filling Factor on the Number of Turns Per Pole in Design of SRM

Effect of Wire Size and Slot Filling Factor on the Number of...

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Global Energy Conference (GEC)

作者： Bekir Geçer Öztürk Tosun N. Füsun Oyman Serteller Alper Nabi Akpolat Gülten Kaşoğlu Mechatronics Program Atasehir Adiguzel Vocational School Istanbul Turkey Electrical-Electronic Engineering Marmara University Istanbul Turkey Electrical-Electronics Engineering Faculty of Technology Marmara University Istanbul Turkey Appied Mathematics Faculty of Sciences Marmara University Istanbul Turkey

ISBN: (数字)9798331532611

ISBN: (纸本)9798331532628

As electric vehicles become increasingly important and widely used, the design of every type of electric motor has gained significant attention in both literature and industry. This study provides a detailed analysis of the number of turns in the motor windings, a critical factor in electric motor design. Through comparative analysis, it investigates how wire size and slot filling factor affect the number of windings turns per pole in Switched Reluctance Motors (SRMs). In addition, the study evaluates the effect of the number of turns analysis on motor performance during design optimization using the genetic algorithm tool in Ansys and traditional calculation methods. The optimization was performed with the wire size range between 0.45 and 0.85 mm. As a result, the optimal value with 82% efficiency was obtained with a wire size of 0.81 mm and 312 turns. The lower copper losses, ideal volume, reduced costs, and enhanced efficiency are obtained by determining the optimal number of turns. This research contributes to developing more efficient and cost-effective electric motor designs. Future research could explore various and more effective optimization techniques and current parameters to design SRM and other motors.

关键词： Power system measurements Fill factor (solar cell) Density measurement Windings Switched reluctance motors Electric vehicles Filling Wire Optimization Electric motors

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Tuning of FP-PID Controller based on PSO Algorithm Applied to a Human Gait

Tuning of FP-PID Controller based on PSO Algorithm Applied t...

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IEEE Latin American Robotics Symposium, LARS

作者： Rodrigo B. de Medeiros Daniel M. Muñoz Department of Mechanical Engineering Mechatronics Graduate Program Automation and Control Group/GRACO University of Brasilia Brasilia DF Brazil

ISBN: (数字)9781665462808

ISBN: (纸本)9781665462815

Robotic manipulators are multi-input multi-output (MIMO) systems with nonlinear points affected by numerous uncertainties and disturbances. PID controllers are widely used in industry for kinematic and dynamic control. However, when applied to MIMO systems, they are not easy to tune and require performance improvements. In this work, a PID controller is proposed with a fuzzy precompensator (FP-PID), both tuned by the bioinspired particle swarm optimization (PSO) algorithm to a two-degree of freedom (2-DOF) robotic manipulator representing a human leg. To validate the system, two real datasets of human gait were used: normal walking and stair climbing to estimate the error trajectory of the manipulator. The statistical analysis of the PSO algorithm with 16 experiments was satisfactory, and the addition of the fuzzy precompensator to the conventional PID resulted in a reduction of the mean square error of one of the manipulator links by up to 73 percent.

关键词： Legged locomotion Uncertainty Statistical analysis Service robots Stairs Trajectory Robots

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Automatic Anti-Swing Gantry Crane Based on Gradient Descent Optimization Proportional Integrated Derivative (PID): A Comparison Simulation and Real Experiment

Automatic Anti-Swing Gantry Crane Based on Gradient Descent ...

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International Conference on Electrical engineering and Informatics, ICEEI

作者： Munzir Qadri Danang Karuna Harjanto Jonathan Miharja Winda Astuti Yosica Mariana Sofyan Tan Mahmud Iwan Solihin Mechanical Engineering Department Engineering Faculty University of Muhammadiyah Jakarta Jakarta Indonesia Computer Engineering Department Automotive and Robotics Program BINUS ASO School of Engineering Bina Nusantara University Jakarta Indonesia Industrial Engineering Department Product Design program BINUS ASO School of Engineering Bina Nusantara University Jakarta Indonesia Departement of Mechanical & Mechatronics Engineering UCSI University Kuala Lumpur Malaysia

Transporting payload with precise swing angles and transfer times poses a challenging task in building construction, which is why gantry crane systems are extensively utilized. Various control strategies, including open-loop and closed-loop systems, have been proposed to tackle this issue. However, most of these controllers rely on a model and parameters specific to the crane system, making the process of modeling and parameter identification complex and time-consuming. To address this challenge, this work presents a practical and simulation control method for automatic gantry cranes, which is evaluated simulation and experimentally. The lab-scale Gantry crane is developed in this work, which consists of mechanical and electrical parts. Proportional Integral and Derivative (PID) and Proportional Derivative (PD) controllers which applied optimization method are implemented in the electrical part of the system. The PID and PD controller applied in controlled the position and swing angle, respectively. The Gradient Decent optimization method is the best optimization method in determining the parameter of the controller, since it has the best simulation performance in the output of the system. The experimental result is developed and compared between simulation and lab-scale Gantry crane hardware implementation part. The performance of experimental results is shown appropriately approaching the performance of the simulation result, with the approximately settling time.

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Applying ant colony optimization algorithm to solve flying probe inspection problem

Applying ant colony optimization algorithm to solve flying p...

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IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW)

作者： Chih-Yung Chen Yu-Ming Chang Bachelor Program in Artificial Intelligence and Mechatronics National Pingtung University of Science and Technology Pingtung Taiwan Department of Computer Science and Information Engineering Shu-Te University Kaohsiung Taiwan

This paper applies ant colony optimization (ACO) algorithm for the dual-pin flying probe circuit board inspection optimal path searching problem. First, the proposed approach creates a representation for circuit inspection path, which groups and encodes the measurement endpoints into a sequence. Moreover, the ant colony algorithm with the sequence can be used to solve the complex circuit optimal problem. The experimental results show that the best solutions of ACO are performed better than other algorithms.

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A Multi Soft-sensor Approach for the Development of Emergencies Detection Units on the Edge

A Multi Soft-sensor Approach for the Development of Emergenc...

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Workshop on Metrology for Industry 4.0 and IoT

作者： Franklin Oliveira Daniel G. Costa Flávio Assis Ivanovitch Silva Graduate Program in Mechatronics Federal University of Bahia Salvador Brazil INEGI Faculty of Engineering University of Porto Porto Portugal Department of Computer Engineering and Automation Federal University of Rio Grande do Norte Natal Brazil

The adoption of multi-sensor hardware units to detect different types of emergencies in complex scenarios such as Industry 4.0 and Smart Cities is a recent development trend, which have demanded research efforts to optimize the way these units are assembled, configured, and deployed. However, although their expected advantages, usual multi-sensors emergency-oriented approaches may be constrained by the tight association between physical sensor devices and the emergency detection process. Therefore, this paper proposes an innovative approach to concurrently detect multiple emergencies exploiting the concept of soft-sensor modules, which are implemented on Emergency Detection Units (EDUs) as concurrent tasks along with a high-priority emergency alerting task. The soft-sensor concept defines physical sensors as ordinary input data streams, which will be processed according to the defined algorithms by each particular soft-sensor, allowing detection decisions to be performed on the edge. In order to support the practical exploitation of this concept, a formal specification based on Petri Nets is defined, modeling the concurrent operation of the tasks within an EDU. A proof of concept is also designed based on the affordable Raspberry Pi Pico microcontroller, demonstrating how the proposed approach would behave when two soft-sensors are implemented in a typical detection unit.

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Tunable Multimodal Guided Surface Lattice Resonances in Index-Discontinuous Environments

arXiv

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arXiv 2024年

作者： Huang, Suichu Yao, Kan Huang, Wentao Zhao, Xuezheng Zheng, Yuebing Pan, Yunlu Key Laboratory of Micro-Systems and Micro-Structures Manufacturing Ministry of Education School of Mechatronics Engineering Harbin Institute of Technology Harbin150001 China Walker Department of Mechanical Engineering Material Science and Engineering Program Texas Materials Institute The University of Texas at Austin AustinTX78712 United States

Surface lattice resonances (SLRs) in metasurfaces are promising in applications of sub-wavelength devices, owning properties such as high quality (high-Q) factors, large local field enhancement and extensive long-range interaction. The tunable peak position and multimodal resonances of SLRs further enhance their appeal for flexible and multi-wavelength light-matter interactions. Despite these advantages, the realization of tunable multimodal SLRs often requires reconfiguring the lattices, leading to limited tunability. Furthermore, current high-Q SLR implementations necessitate a homogeneous dielectric environment, restricting potential applications such as biosensors that are typically operated in an aqueous or air cladding on a substrate. Here we present guided-SLRs (gSLRs), which are easily accessible in index-discontinuous environments while retaining the multimodal property and straightforward tunability of mode number, resonance wavelengths and mode coupling strengths. The gSLRs are achieved by coupling the scattered light from metasurface units into a slab waveguide, creating a light propagating channel in the lattice plane within an index-asymmetric environment. Tailoring the radiation pattern of individual units with guided transverse electric (TE) and transverse magnetic (TM) modes, multimodal resonances in both orthogonal and parallel coupling directions are accomplished. The mode number and resonance wavelengths can be easily controlled by adjusting the waveguide configuration, while the mode coupling strength is tuned by the vertical position of lattices in the slab. Further shift of the multimodal gSLRs from visible to near-infrared is achieved by introducing a gold backplane. The easy-to-access, flexibly tunable and multimodal gSLRs in inhomogeneous media offer a promising solution to advancing the realization of ultrathin and ultracompact nano-optical and optoelectronic devices. Copyright © 2024, The Authors. All rights reserved.

关键词： Waveguides

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Comparative Analysis of Computer Vision Techniques for Traffic Signs Recognition in Autonomous Vehicles

Comparative Analysis of Computer Vision Techniques for Traff...

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International Conference on Computer Theory and Applications (ICCTA)

作者： Yaman Sahu Mahmoud Wael Bibek Gupta Tasneem Tarek Abdelkareem Mohamed A. Wahby Shalaby EU4M Mechatronics Program (MECT) School of Engineering and Applied Sciences Nile University 6th October Egypt Mechatronics Program (MECT) School of Engineering and Applied Sciences Nile University 6th October Egypt Information Technology Dept. Faculty of Computers and Artificial Intelligence Cairo University Giza Egypt Smart Engineering Systems Research Center (SESC) Nile University 6th October Egypt

ISBN: (数字)9798350309584

ISBN: (纸本)9798350309591

The popularity of self-driving vehicles has been steadily increasing due to advancements in technology. These vehicles, often referred to as autonomous vehicles, rely on a combination of sensors, cameras, and artificial intelligence to operate. Cameras have multiple applications in autonomous vehicles, including traffic sign detection and processing. This study aims to compare the performance of three computer vision techniques - SIFT (Scale Invariant Feature Transform), ORB (Oriented FAST and Rotated BRIEF), and CNN (Convolutional Neural Network) - on the same data set using precision, recall and F1-Score as metrics. The experimental results of this study indicate that CNN outperforms SIFT and ORB in terms of all mentioned metrics.

关键词： Measurement Computer vision Transforms Cameras Convolutional neural networks Artificial intelligence Autonomous vehicles Intelligent sensors

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