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High-Performance Chip Design With Parallel Architecture for Magnetic Field Imaging system

IEEE Transactions on Instrumentation and Measurement 2024年 73卷 1-13页

作者： Lin, Ming-Yi Hsieh, Sheng-Hsien Chen, Ching-Han Lin, Chun-Hung Yuan Ze University Department of Computer Science and Engineering Taoyuan320315 Taiwan National Pingtung University of Science and Technology Program of Artificial Intelligence and Mechatronics Pingtung912301 Taiwan National Central University Department of Computer Science and Information Engineering Taoyuan32001 Taiwan International Games System Company Ltd. New Taipei City248 Taiwan

To address the limitations of typical coil detection systems and enhance the performance of traditional magnetic field imaging (MFI) systems, we propose a MFI system that uses a 4×4 array of anisotropic magnetoresistance (AMR) sensors. The core controller of the proposed system was designed using a pipelined parallelization algorithm and implemented on a high-speed field-programmable gate array (FPGA) in a fully hardware-based architecture. The designed MFI system can achieve parallel acquisition of magnetic field components from the 16-channel AMR sensor array, parallel data processing, parallel data transmission, and parallel computations in a single cycle of only 4 ms. Compared with typical detection systems, the proposed solution not only exhibits superior performance but can also provide dynamic visual representations of sensed information. © 1963-2012 IEEE.

关键词： Parallel architectures

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Rover Wheel Assistive Grouser Shape Effects on Traction Force in Flat Soft Terrain

Rover Wheel Assistive Grouser Shape Effects on Traction Forc...

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2023 IEEE International Conference on Automatic Control and Intelligent systems, I2CACIS 2023

作者： Aziz, Intan Nur Aqiella Che Ibrahim, Ahmad Najmuddin Basri, Ikmanizardi Fukuoka, Yasuhiro Faculty of Manufacturing and Mechatronics Engineering Technology Universiti Malaysia Pahang Pekan Campus Pahang Pekan26600 Malaysia Ibaraki Universit College of Engineering Ibaraki University Department of Mechanical System Engineering Hitachi316-8511 Japan

ISBN: (纸本)9798350321302

This paper presents the study of different grouser shapes on the performance of the assistive grouser wheel travelling on a flat surface loose soil terrain. This work is an extension from our previous work exploring the rover wheel assistive grouser angle of attack effects on traction force in soft terrain. Therefore, a new experiment involving the different grouser shapes on the assistive grouser wheel must be conducted to comprehend the interactions between the grouser and loose soil. From observation, the bulldozing effect of the assistive grouser is also influenced by the grouser shapes. Further understanding of the soil flow also effect of the grouser shape design in general. Hence, we have developed 4 different grouser shapes to be attached to the single wheel rover testbed to evaluate the effects of the shape to the performance of the assistive grouser wheel on a 0-degree slope loose soil surface. The grouser shapes consisted of Inverse Parallel, C-Shape, Inverse C-Shape and Inverse Chevron Shape. The average total traction force and current consumption was examined. It was observed during the grouser entering the sand surface, the sand piled up onto the grouser surface effecting the value of average total traction force. This was caused by surface area of the grouser. The more surface area of the assistive grouser, the more traction force generated to push the wheel forward. Based on the experimental results, it was concluded that Inverse Parallel is the optimal grouser design for use as assistive grouser in wheeled rover on soft sand, as it has the lowest surface area and the lowest average total traction force. However, Inverse Chevron generated the least current consumption by the half-wheel rover. These results indicate that the traction force of the assistive grouser is not affected by shape, but the width and depth of the assistive grouser. © 2023 IEEE.

关键词： Wheels

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Explainable quantum-enhanced machine learning for hypertension prediction

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The European Physical Journal Special Topics 2025年 1-13页

作者： Donmez, Turker Berk Kutlu, Mustafa Biomedical Engineering Sakarya University of Applied Sciences Sakarya Turkey Mechatronics Engineering Sakarya University of Applied Sciences Sakarya Turkey System Engineering Military Technological College Muscat Oman

Chronic disease prediction presents ongoing challenges in healthcare, primarily due to the complexity of medical data and the need for models that are both accurate and interpretable. This study introduces a quantum-enhanced machine learning model specifically designed for the prediction of hypertension, combining quantum feature transformation with classical algorithms to deliver precise and reliable results. The model demonstrates high performance, achieving an accuracy of 98.40%, precision of 99.3%, recall of 98.6%, and an F1-score of 98.9%. To ensure transparency and facilitate clinical interpretation, explainable AI (XAI) techniques are employed through SHAP values, highlighting critical factors such as hypertension drug usage, age, ferritin, and cholesterol levels as key contributors to hypertension prediction. This quantum-based approach exemplifies the potential for leveraging cutting-edge technologies in healthcare, offering a robust solution that not only ensures predictive accuracy but also supports interpretability—essential for informed clinical decision-making. The integration of quantum computing and explainable machine learning represents a promising step forward in the development of predictive models tailored to complex medical datasets.

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Eleven Degree of Freedom Humanoid Upper Body Robot SIBO 8

Eleven Degree of Freedom Humanoid Upper Body Robot SIBO

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8th IEEE Information Technology International Seminar, ITIS 2022

作者： Crisnapati, Padma Nyoman Maneetham, Dechrit Triandini, Evi Rajamangala University of Technology Mechatronics Engineering Thanyaburi Pathum Thani Thailand Information System Stikom Bali Denpasar Indonesia

ISBN: (纸本)9798350398199

Rapid technological advancement is an asset that can be leveraged to preserve culture. This article carried out the assimilation of robotic technology into a culture. This study's first design was accomplished by simulating a humanoid robot using a three-dimensional model. This study focuses on the experiment of the SIBO welcome robot, which replicates the humanoid upper body's movement with eleven degrees of freedom. This research investigates the SIBO welcoming robot by imitating the movement of the upper body humanoid with eleven degrees of freedom. Blender application is used to create 3D models and rigging for size simulation and estimation of robot movement. The implementation of the actual robot uses low-cost materials and a second-hand motor power window car as the actuator. This robot casing uses concepts and materials with the nuances of Balinese culture, namely 'Ogoh-Ogoh'. The combination of art and technology creates the SIBO welcoming robot. © 2022 IEEE.

关键词： Simulink

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Improving Arabic Text Classification Using P-Stemmer

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Recent Advances in Computer Science and Communications 2022年第3期15卷 404-411页

作者： Kanan, Tarek Hawashin, Bilal Alzubi, Shadi Almaita, Eyad Alkhatib, Ahmad Maria, Khulood Abu Elbes, Mohammed Department of Computer Science AlZaytoonah University Amman Jordan Department of Computer Information System AlZaytoonah University Amman Jordan Department of Power and Mechatronics Engineering Tafila Technical University Tafilah Jordan

Introduction: Stemming is an important preprocessing step in text classification, and could contribute to increasing text classification accuracy. Although many works have proposed stemmers for the English language, few stemmers have been proposed for Arabic text. Arabic language has gained increasing attention in the previous decades and the need to further improve Arabic text classification. Methods: This work combined the use of the recently proposed P-stemmer with various classifiers to find the optimal classifier for the P-stemmer in terms of Arabic text classification. As part of this work, a synthesized dataset was collected. Results: The previous experiments show that the use of P-stemmer has a positive effect on classification. The degree of improvement is classifier-dependent, which is reasonable as classifiers vary in their methodologies. Moreover, the experiments show that the best classifier with the P-Stemmer is NB. This is an interesting result as this classifier is well-known for its fast learning and classification time. Discussion: First, the continuous improvement of the P-stemmer by more optimization steps is necessary to further improve the Arabic text categorization. This can be made by combining more classifiers with the stemmer, by optimizing the other natural language processing steps, and by improving the set of stemming rules. Second, the lack of sufficient Arabic datasets, especially large ones, is still an issue. Conclusion: In this work, an improved P-stemmer was proposed by combining its use with various classifiers. In order to evaluate its performance, and due to the lack of Arabic datasets, a novel Arabic dataset was synthesized from various online news pages. Next, the P-stemmer was combined with Naïve Bayes, Random Forest, Support Vector Machines, K-Nearest Neighbor, and K-Star. © 2022 Bentham Science Publishers.

关键词： Decision trees

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Introducing tribo-data map as a novel analysis for a detailed correlation between friction data and wear surface features

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Wear 2025年 571卷

作者： Zhu, Shuai Abedini, Morteza Hanke, Stefanie Sieberg, Philipp University of Duisburg-Essen Institute of Metals Engineering Materials Science and Engineering Lotharstr. 1 Duisburg47057 Germany University of Duisburg-Essen Institute for Mechatronics and System Dynamics Mechatronics Lotharstr. 1 Duisburg47057 Germany

The results of wear tests are conventionally regarded as a type of time-series data. Consequently, various signal processing methods are employed for the analysis, with the aim of investigating wear behaviors and mechanisms. However, in addition to temporal dependencies, the wear behavior is also influenced by surface topography which varies with the position inside a wear track. Hence, the spatial distribution characteristics of force data are of equal significance in the study of wear mechanisms. In this work, we propose a novel data analysis method, tribo-data map, which offers a more immediate and concurrent visualization of the force distribution over both temporal and spatial dimensions. Dry sliding wear tests of two different materials displaying different wear mechanisms (316L stainless steel and Ti6Al4V alloy) were performed using a reciprocating tribometer. The worn surfaces were investigated, with scanning-electron microscopy (SEM), energy-dispersive X-ray spectroscopy (EDS) and confocal microscopy, in detail. The results show that tribo-data map can detect a significant wear mechanism transformation (oxidation reaction) during the wear process. Furthermore, it was also found that the spatial distribution of force data is related to surface topography. Inside a single wear path, the loading state still varies with positions. © 2025 The Authors

关键词： Titanium alloys

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A Novel Space Vector Modulation Strategy for Three-Level Simplified Neutral Point Clamped Inverter

A Novel Space Vector Modulation Strategy for Three-Level Sim...

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2023 IEEE Energy Conversion Congress and Exposition, ECCE 2023

作者： Zhu, Shuangxi Guo, Xinyue Liu, Menghu Chen, Cai Kang, Yong Chen, Haiyan Jin, Zhaosheng Yang, Lei Huazhong University of Science and Technology School of Electrical and Electronic Engineering Wuhan China Aecc Aero Engine Control System Institute China Beijing Institute of Precision Mechatronics and Controls China

ISBN: (纸本)9798350316445

To improve efficiency of the three-level (3-L) simplified neutral point clamped (SNPC) inverter, a novel space vector modulation (SVM) strategy is proposed in this paper. The proposed SVM strategy is characterized by switching all switches in 2-L inverter stage only under zero voltage, thus achieving zero voltage switching (ZVS). Therefore, the switching loss of 2-L inverter stage can be diminished. 3-L SNPC inverter suffers from unbalanced neutral-point voltage (NPV) as conventional multilevel inverters. By using alternative small vectors, the NPV can be balanced as well. The performance of the proposed SVM strategy is analyzed in terms of switching loss and the ability of NPV control. Finally, the feasibility and superiority of the proposed strategy are verified by simulation and experiment. © 2023 IEEE.

关键词： 3-L SNPC inverter NPV balancing space vector modulation ZVS

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Robotic Slag Removal system with Position Compensation and Defect Detection based on YOLO Algorithm

Robotic Slag Removal System with Position Compensation and D...

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2023 International Conference on Advanced Robotics and Intelligent systems, ARIS 2023

作者： Shih, Chih-Hsuan Wu, Chih-Yi National Taiwan University Department of Computer Science and Information Engineering Taipei10617 Taiwan Industrial Technology Research Institute Mechanical and Mechatronics System Research Laboratories Hsinchu31040 Taiwan

ISBN: (纸本)9798350302714

Robotic arms play a crucial role in factory automation, offering immense versatility, precision, and the capability for autonomous operation, thereby eliminating the need for manual labor. In this study, we have developed a robotic slag removal system with automatic position compensation and defect detection capabilities, which is capable of locating the features of workpieces, perform deslagging, and detect defects using the YOLO (You Only Look Once) algorithm. The experimental workpiece in this study is a knee femoral implant. Firstly, a position compensation method is employed to precisely locate the clamping hole of the workpiece. The robot trajectory is then automatically generated by the software for the deburring of the clamping hole slag. Subsequently, the system utilizes the detected defect locations to generate a re-deslagging path, ensuring that all remnants are thoroughly cleaned. © 2023 IEEE.

关键词： Robotics

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Analysis of Common Mode and Rapidly Varying Voltage Profile on Stator Current Harmonics of an Inverter-fed Induction Motor 64

Analysis of Common Mode and Rapidly Varying Voltage Profile ...

引用

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

作者： Sardar, Muhammad Usman Vaimann, Toomas Kutt, Lauri Kallaste, Ants Asad, Bilal Kudelina, Karolina Akbar, Siddique Tallinn University of Technology Department of Electrical Power Engineering and Mechatronics Tallinn12616 Estonia Institute for Drives System and Power Electronics Leibniz University Welfengarten 1 Hannover30167 Germany

ISBN: (纸本)9798350317732

The condition monitoring of inverter-fed induction motors plays a crucial role in ensuring their reliable operation and preventing unexpected failures in the industry. This paper presents a preliminary analysis of the condition monitoring of inverter-fed induction motors by investigating key parameters and techniques potentially employed to monitor the operating condition and performance. It focuses on the challenges and complexities of the inverter's impact parameters, such as highfrequency harmonics, common mode voltages, high voltage gradient (dv/dt) on motor operation, and parasitic capacitance developments. Furthermore, this paper implements the fast Fourier Transform signal processing technique for condition monitoring and data analysis to segregate the fault frequency. For validity, a case study with a laboratory experimental hardware setup is presented to demonstrate the application of the proposed techniques on an inverter-fed induction motor to represent the frequency signatures in a wideband spectrum. This preliminary analysis provides valuable insights into developing comprehensive condition-monitoring strategies for inverter-fed induction motors, aiding in preventing motor failures, minimizing downtime, and optimizing maintenance practices. © 2023 IEEE.

关键词： Vibration analysis

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An Iterative-Based Dead-Time Compensation Method for Integrated Interleaved Boost-LLC Converter

An Iterative-Based Dead-Time Compensation Method for Integra...

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2023 IEEE Energy Conversion Congress and Exposition, ECCE 2023

作者： Wen, Jin Guan, Jiajia Wu, Zongheng Xu, Wenzhe Chen, Haiyan Jin, Zhaosheng Yang, Lei Chen, Cai Yong, Kang Huazhong University of Science and Technology School of Electrical and Electronic Engineering Wuhan China Aecc Aero Engine Control System Institute China Beijing Institute of Precision Mechatronics and Controls China

ISBN: (纸本)9798350316445

This paper proposes an iterative-based dead-time compensation method to help integrated interleaved boost-LLC converter (IIBLLC) converter achieve higher frequency. By adjusting switching frequency and compensating dead time, the converter can operate in quasi-resonant mode and the rectification control signal is synchronized with the primary side. In quasi-resonant mode, smaller current RMS results in lower conduction losses and the advantages of realizing ZCS on the secondary side can be preserved. Finally, a 400 W / 850 kHz IIBLLC prototype with 36 - 60 V input and 12 V output is demonstrated, which achieves a peak efficiency of 96.2%. The experimental results show that the LLC operates in quasi-resonant mode, and the efficiency and power density are improved. © 2023 IEEE.

关键词： dead-time compensation integrated converter LLC resonant converter

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