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2024 IEEE/SICE International Symposium on System Integration, SII 2024

作者： Aoki, Koki Takahashi, Yuta Sato, Tomoya Ninomiya, Yoshiki Meguro, Junichi Graduate School of Science and Technology Meijo University Division of Mechatronics Engineering Japan Map IV Inc. Japan Institute of Innovation for Future Society Nagoya University Japan Meijo University Faculty of Science and Technology Department of Mechatronics Engineering Japan

ISBN: (纸本)9798350312072

This study proposes an approach for robust localization with low computational cost in autonomous vehicles. We introduce EKF localization that combines NDT and DR. To estimate the uncertainty due to the real environment of NDT, we utilize multiple searches from many initial positions. Because multiple searches increase processing time, we limit the arrangement of initial positions based on the Hessian matrix of the NDT score function. The initial position arrangement according to the Hessian matrix is based on the direction in which error is likely to occur. This allows us to achieve real-time uncertainty estimation within a LiDAR period of 10Hz. Moreover, we propose hybrid correspondence NDT (HC-NDT) to reduce the computational cost of each search. HC-NDT reduces unnecessary correspondences between query points and ND voxel in neighbor search. In the convergence evaluation, HC-NDT reduced the processing time and maintained the accuracy compared to NDT with multiple correspondences. In the localization evaluation, our EKF localization with HC-NDT and our real-time uncertainty estimation suppressed errors within 0.3 m in challenging environments for NDT. The execution time of our uncertainty estimation with HC-NDT was reduced by up to 50 % compared to conventional NDT. © 2024 IEEE.

关键词： Uncertainty analysis

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Data Logging Model for Metropolitan Vehicle Movement Monitoring and Control System

Data Logging Model for Metropolitan Vehicle Movement Monitor...

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2023 International Conference on Science, engineering and Business for Sustainable Development Goals, SEB-SDG 2023

作者： Adeniyi, Samuel Jack, Kufre Esenowo Salami, Taiye Hassan Ojekunle, Paul Olamide Olatomiwa, Lanre Joseph Oyelami, Abdulhafeez Oluwatobi Federal University of Technology Department of Mechatronics Engineering Niger State Minna Nigeria

ISBN: (纸本)9798350324785

The automotive industry has experienced a spectacular expansion in the last decade, with an increase in number of cars in metropolitan cities. Maintaining track of automobiles based on their plates number in order to manage vehicular traffic properly in the city has posed difficulty. This research presents an artificial intelligence-based technology technique (YOLO) for tracking vehicle movement based on the vehicle's plate number with data logging model and a centralized database structure for vehicles identification and monitoring, using other techniques such as image processing and IoT mechanism for detection and recognition accuracy. In order to create an Intelligent Plate Number Recognition (IPNR) System, this study employs artificial intelligence, computer vision (image processing), laser scanning technologies, and convolutional neural networks (CNN). This model concepts and computations underpin potential solutions to this issue, guaranteeing a range of approaches to achieving the desired outcome. This work focuses on plate number identification using the contours tracing approach, as well as edge identification and sharpening using optical character recognition algorithm based on OpenCV libraries. The vehicle is monitored on real time using the GPS technology where the vehicle plate image was captured with the Pi camera to produce high-quality images. This research employs a wide range of techniques across the board (from license plate detection to character recognition) to boost the system's speed as much as feasible with negligible overhead. The studies demonstrated how useful image processing tools were used for data logging, and character recognition when combined with vehicles in urban environments. To carry out monitoring and management of the system, a responsive web application was designed for data logging. © 2023 IEEE.

关键词： Automotive industry

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RESEARCH ON POWER INTERNET OF THINGS MODEL AND RESOURCE ALLOCATION BASED ON EDGE COMPUTING

UPB Scientific Bulletin, Series C: Electrical Engineering an...

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UPB Scientific Bulletin, Series C: Electrical engineering and Computer Science 2023年第1期85卷 105-116页

作者： Li, Jing Lu, Xutao Liu, Feng Huang, Xiangquan Lin, He Ren, Yifeng School of Electrical and Control Engineering North University of China China College of Mechatronics Engineering North University of China China Chongqing Optoelectronics Technology Institute China Sichuan Institute of Piezoelectric & Acoustooptic Technology China

In order to improve the efficiency of resource allocation in the power Internet of Things, a micro-service model for power Internet of Things was proposed by edge computing Business data was divided into 4 different types, and resource matching calculation for aggregated services was completed by edge computing. Computing resource allocation model was used to obtain the computing resource allocation and resource supply of the edge computing terminals. In the test experiment, the CPU resource occupancy curve was obtained in the condition of different resource scaling ratios. It verified the feasibility of the algorithm. The resource utilization ratio of simultaneous trigger service and non-simultaneous trigger service was compared and analyzed. The results show that it verifies the optimization effect of this algorithm, which can reduce the total cost. © 2023, Politechnica University of Bucharest. All rights reserved.

关键词： Internet of things

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A framework for robotic grasping of 3D objects in a tabletop environment

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Multimedia Tools and Applications 2024年 1-30页

作者： Ansary, Sainul Islam Mishra, Atul Deb, Sankha Deb, Alok Kanti Advanced Technology Development Centre IIT Kharagpur721302 India Mechanical Mechatronics Engineering Department LNMIIT Jaipur302031 India Mechanical Engineering Department IIT Kharagpur721302 India Electrical Engineering Department IIT Kharagpur721302 India

Automatic grasping of unknown 3D objects is still a very challenging problem in robotics. Such challenges mainly originate from the limitations of perception systems and implementations of the grasp planning methods for handling arbitrary 3D objects on real robot platforms. This paper presents a complete framework for robotic grasping of unknown 3D objects in a tabletop environment. The framework comprises of a 3D perception system for obtaining the complete point cloud of the objects, followed by a module for finding the best grasp by an object-slicing based grasp planner, a module for trajectory generation for pick and place operations, and finally performing the planned grasps on a real robot platform. The proposed 3D object perception captures the complete geometry information of the target object using two depth cameras placed at different locations. A hole-filling algorithm is also proposed to quickly fill the missing data points in the captured point cloud of target object. The object-slicing based grasp planner is extended to handle the obstacles posed by the neighbouring objects on a tabletop environment. Then, the proposed framework is tested on common household objects by performing pick and place operations on a real robot fitted with an adaptive gripper. Moreover, finding the best feasible grasp in the presence of neighbouring objects is also demonstrated such as avoiding the table-top and surrounding objects. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024.

关键词： Robot programming

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Enhanced Prediction of Metamaterial Antenna Parameters Using Advanced Machine Learning Regression Models

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Progress In Electromagnetics Research C 2024年 146卷 1-12页

作者： Jain, Prince Sahoo, Prabodh K. Khaleel, Aymen D. Al-Gburi, Ahmed Jamal Abdullah Department of Mechatronics Engineering Parul Institute of Technology Parul University Gujarat Vadodara391760 India Computer Engineering Department College of Engineering Al-Iraqia University Iraq Jalan Hang Tuah Jaya Durian Tunggal Melaka76100 Malaysia

The integration of machine learning (ML) regression models in predicting the parameters of metamaterial antennas significantly reduces the design time required for optimizing antenna performance compared to traditional simulation tools. Metamaterial antennas, known for overcoming the bandwidth constraints of small antennas, benefit greatly from these advanced predictive models. This study applies and evaluates four ML regression models — Extra Trees, Random Forest, XGBoost, and CatBoost — to predict key antenna parameters such as S11, gain, and bandwidth. Each model’s performance is assessed using metrics like Mean Absolute Error (MAE), Mean Squared Error (MSE), R-squared (R2), Mean Absolute Percentage Error (MAPE), and Root Mean Squared Error (RMSE) across different training and testing set configurations (30%, 50%, and 70%). The Extra Trees model achieves the best performance for predicting gain, with an R2 of 0.9990, MAE of 0.0069, MSE of 0.0002, RMSE of 0.0145, and MAPE of 0.3106. Feature importance analysis reveals that specific features, such as pr and p0 for gain and Y a and Xa for bandwidth, are critical in the predictive models. These findings highlight the potential of ML methods to improve the efficiency and accuracy of metamaterial antenna design. © 2024, Electromagnetics Academy. All rights reserved.

关键词： Mean square error

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Soft-template synthesis of hierarchically porous structured polydimethylsiloxane toward flexible capacitive pressure sensor

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Science China(Technological Sciences) 2023年第9期66卷 2696-2706页

作者： HE ShiXue WU Jian DUAN YanHao SU BenLong LIU ShouYao TENG Fei WANG YouShan School of Mechatronics Engineering Harbin Institute of TechnologyHarbin 150001China National Key Laboratory of Science and Technology on Advanced Composites in Special Environments Harbin Institute of TechnologyHarbin 150090China Center for Rubber Composite Materials and Structures Harbin Institute of TechnologyWeihai 264209China

Flexible pressure sensors play an important role in the field of monitoring, owing to their inherent safety and the fact that they are embedded at the material level. Capacitive pressure sensors have been proven to be quite versatile, with the ability to change the sensitivity and monitoring range by modifying the pore structure of the dielectric layer(elastic modulus). In this paper, capacitive pressure sensors are devised, comprising hierarchical porous polydimethylsiloxane. Due to the inherent hollow and hierarchical micropore structure, the capacitive pressure sensor allows operation at a wider pressure range(~1000 kPa) while maintaining sensitivity(6.33 MPa-1) in the range of 0–300 k Pa. Subsequently, the capacitance output model of the sensor is optimized, which provides an overall approximation of the experimental values for the sensor performance. Additionally, the signal response of the“break up the whole into parts”(by analysis of the whole sensor in parts) is simulated and outputted by the finite element analysis. The simplified analysis model provides a good understanding of the relationship between the local pressure and the signal response of the pressure sensor. For practical applications, seal monitoring and rubber wheel pressure array system are tested, and the proposed sensor shows sufficient potential for application in large deformation elastomer products.

关键词： hierarchically porous structured flexible pressure sensor capacitive response mechanism hydrogel/silicone rubber emulsion

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An EV-Traction Inverter Data-Driven Modelling for Digital Twin Development 23

An EV-Traction Inverter Data-Driven Modelling for Digital Tw...

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23rd International Scientific Conference on Electric Power engineering, EPE 2023

作者： Ibrahim, Mahmoud Raja, Hadi Ashraf Rassolkin, Anton Vaimann, Toomas Kallaste, Ants Tallinn University of Technology Department of Electrical Power Engineering and Mechatronics Tallinn Estonia

ISBN: (纸本)9798350335934

Digital Twin (DT) technology has achieved a significant breakthrough in the development of numerous applications, including electric vehicles (EVs). This technique involves the creation of a virtual version of a real object, utilizing simulation and optimization tools with real data to optimize its functioning. The traction inverter is considered the brain of the EV drive system, as it controls the power flow between the battery and the electric motor. It converts the DC voltage from the battery into AC voltage and adjusts the frequency and amplitude to control the speed and torque of the motor. This research work presents the DT modelling procedures of an EV traction inverter. The basic principles of DT are discussed, and the model-driven DT modelling technique is compared to the data-driven. The motor-drive physical model (test bench) is provided. A data-driven model of the inverter was generated using a nonlinear regression-based artificial neural network ANN. Historical data from experimental tests were used as a modeling reference. The obtained results from the data-driven model achieved high prediction accuracy. © 2023 IEEE.

关键词： Digital storage

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Novel Isolated High Step-up DC-DC Converter with Wide Input Voltage Regulation Range 64

Novel Isolated High Step-up DC-DC Converter with Wide Input ...

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64th IEEE Annual International Scientific Conference on Power and Electrical engineering of Riga Technical University, RTUCON 2023

作者： Pourjafar, Saeed Mohseni, Parham Matiushkin, Oleksandr Husev, Oleksandr Vinnikov, Dmitri Tallinn University of Technology Department of Electrical Power Engineering and Mechatronics Tallinn Estonia

ISBN: (纸本)9798350317732

This paper proposes novel isolated current fed high step-up dc-dc converter. The proposed converter can be operated for wide input voltage range applications with high efficiency. The main affirmative point of the suggested converter is the high voltage conversion ratio feature with low voltage stress throughout the switches. Besides, a voltage-doubling rectifier has been utilized in order to provide much high voltage gain and remove the reverse recovery issue of the output rectifying diode by partially operating in soft-switching condition. The proposed topology has been designed to operate as a front-end dc-dc converter and has the ability to boost a variable low voltage from a power source such as fuel-cell or solar panel, and then connect it to a high-voltage dc-link. The literature provides a detailed discussion of the suggested converter's various operational modes, as well as its steady-state performance, design procedure, and a comparison study with other converters. Furthermore, to demonstrate the converter's capabilities, an experimental prototype with a rated power of 500 W, an input voltage range of 30 V, and a 300 V output voltage at a switching frequency of60 kHz was built, and the experimental results are presented. © 2023 IEEE.

关键词： Voltage regulators

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Evaluation of Hydrogen Refueling Stations for Intercity Rail Transport on Major Railway Routes in Thailand 13

Evaluation of Hydrogen Refueling Stations for Intercity Rail...

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13th International Electrical engineering Congress, iEECON 2025

作者： Koranuntachai, Worrapol Phannil, Natthanon Homjan, Jeerawan Panpean, Chakrit King Mongkut's University of Technology North Bangkok Faculty of Engineering Department of Instrumentation and Electronics Engineering Bangkok Thailand Rajamangala University of Technology Suvarnabhumi Faculty of Engineering and Architecture Department of Mechatronics Engineering Nonthaburi Thailand

ISBN: (纸本)9798331543952

This study evaluates the optimal hydrogen refueling station locations along Thailand's main railway routes. Several types of fuel cells were considered as alternatives, with the proton exchange membrane fuel cell (PEMFC) being identified as a potential replacement for combustion engines for intercity rail transport. The thermodynamics of the fuel cell chemical reactions and hydrogen utilization were analyzed, along with an assessment of hydrogen storage using a Type IV composite tank (350-700 bar). The General Electric CM22-7i/GEA locomotives, equipped with two Cummins KTA-50L diesel-electric engines, were used as references for hydrogen fuel cell replacement. The evaluation results of the four major railway routes indicate that the Northern and Southern routes require the most refueling infrastructure due to their length and terrain, while the Eastern line, with its shorter distance and frequent stops, is identified as the most suitable candidate for early adoption of hydrogen-powered trains. This research supports Thailand's environmental goals and global sustainability initiatives in the transportation sector. © 2025 IEEE.

关键词： Cooling

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Step-Up/Down Partial Power Converter with Enhanced MPPT Efficiency Around Zero Partiality 64

Step-Up/Down Partial Power Converter with Enhanced MPPT Effi...

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64th IEEE Annual International Scientific Conference on Power and Electrical engineering of Riga Technical University, RTUCON 2023

作者： Yadav, Neelesh Chub, Andrii Hassanpour, Naser Blinov, Andrei Vinnikov, Dmitri Tallinn University of Technology Department of Electrical Power Engineering and Mechatronics Tallinn Estonia

ISBN: (纸本)9798350317732

The literature demonstrates that step-up/down partial power converters (PPCs) provide improved efficiency and reduced partiality. However, their operation at the crucial point of equal port voltages is disregarded. This paper investigates the operation of step-up/down PPCs near zero partiality in PV applications. The given PPC has a dc-dc stage capable of operation in all four quadrants. However, two modulation schemes are applied to the converter to implement unidirectional power flow. In addition, this paper also addressed a problem of reduction in maximum power point tracking efficiency that occurs near zero partiality. The current and voltage in the step-up mode of the dc-dc stage are controlled by the phase shift modulation (PSM). The step-down function is extended with reverse power flow (hybrid) modulation. This case study is verified through both simulation and experiment. The experiment is conducted with PPC prototype rated at2.5kW and connected to a 350 V dc bus. © 2023 IEEE.

关键词： Electric load flow

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