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8th National Conference on New Trends in Information and Communications Technology Applications, NTICT 2024

作者： Simango, Doubt Manyanye, Trish Aldhaibani, Jaafar A. Yahya, Abid Mushiri, Tawanda Ndaimani, Augustine Department of Mechatronic Engineering School of Engineering Sciences and Technology Private Bag Off-Chirundu Road Chinhoyi7724 Zimbabwe College of Engineering University of Information Technology and Communication Baghdad Iraq Botswana International University of Science and Technology Private Bag 16 Palapye Botswana Department of Industrial and Mechatronics Engineering Faculty of Engineering and the Built Environment University of Zimbabwe 630 Churchill Avenue Mt Pleasant Harare Zimbabwe Department of Biomedical Informatics and Biomedical Engineering University of Zimbabwe 630 Churchill Avenue Mt Pleasant Harare Zimbabwe

ISBN: (纸本)9783031870750

Medical robotics is a field that combines engineering and artificial intelligence to create robotic systems used in healthcare. This study aims to delve into the exciting field of developing medical-targeted drug delivery systems, which hold immense potential for revolutionizing how we administer therapeutic substances. By precisely delivering drugs to specific sites within the body, these innovative systems offer improved treatment outcomes, reduced side effects, and enhanced patient compliance. Therefore, an image processing algorithm for visible target detection was designed, a system to determine the coordinates of the exact location of identified regions of the target was developed, and a trajectory plan for the robotic arm end effector for precise drug delivery was also designed. The integration of robotic systems into MRI scanners, the development of image processing algorithms, and also real-time feedback control systems are mechatronics-based processes. Medical image navigation technology has many uses in minimally invasive robots, mainly image acquisition techniques such as Magnetic Resonance Imaging (MRI) to acquire equivalent image data;however, medical imaging techniques have inefficient visibility in robotic-assisted surgeries of small and confined incisions. Therefore, image processing methods are applied to precisely regulate the operation’s location and visibility and improve the procedure’s efficacy, accuracy, and safety. To develop an advanced medical-targeted drug delivery system. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： End effectors

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The Classification of Skateboarding Tricks: A Support Vector Machine Hyperparameter Evaluation Optimisation

The Classification of Skateboarding Tricks: A Support Vector...

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Innovative Manufacturing, mechatronics and Materials Forum, iM3F 2020

作者： Ibrahim, Muhammad Ar Rahim Shapiee, Muhammad Nur Aiman Abdullah, Muhammad Amirul Razman, Mohd Azraai Mohd Musa, Rabiu Muazu Majeed, Anwar P. P. Abdul Innovative Manufacturing Mechatronics and Sports Laboratory Faculty of Manufacturing and Mechatronic Engineering Technology Universiti Malaysia Pahang Pekan Pahang Darul Makmur26600 Malaysia Centre for Fundamental and Continuing Education Department of Credited Co-Curriculum Universiti Malaysia Terengganu Terengganu Malaysia Pekan Pahang Darul Makmur26600 Malaysia

ISBN: (纸本)9789813345966

The growing interest in skateboarding as a competitive sport requires new motion analysis approaches and innovative ways to portray athletes’ results as the conventional technique of the classification of the tricks is often inadequate in providing accurate and often biased evaluation during competition. This paper aims to identify the suitable hyperparameters of a Support Vector Machine (SVM) classifier in classifying five different skateboarding tricks (Ollie, Kickflip, Frontside 180, Pop Shove-it, and Nollie Frontside Shove-it) based on frequency-domain features extracted from Inertial Measurement Unit (IMU). An amateur skateboarder with the age of 23 years old performed five different skateboard tricks and repeated for five times. The signals obtained then were converted from time-domain to frequency-domain through Fast Fourier Transform (FFT), and a number of features (mean, kurtosis, skewness, standard deviation, root mean square and peak-to-peak corresponding to x–y–z axis of IMU reading) were extracted from the frequency dataset. Different hyperparameters of the SVM model were optimised via grid search sweep. It was found that a sigmoid kernel with 0.01 of gamma and regularisation, C value of 10 were found to be the optimum hyperparameters as it could attain a classification accuracy of 100%. The present findings imply that the proposed approach can well identify the tricks to assist the judges in providing a more objective-based evaluation. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Support vector machines

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Experimental investigation on magnetorheological finishing process parameters

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Materials Today: Proceedings 2022年 48卷 1892-1898页

作者： Abdul Wahab Hashmi Harlal Singh Mali Anoj Meena Irshad Ahamad Khilji Chaitanya Reddy Chilakamarry Siti Nadiah binti Mohd Saffe Advanced Manufacturing and Mechatronics Lab Department of Mechanical Engineering Malaviya National Institute of Technology Jaipur 302017 India Faculty of Manufacturing and Mechatronic Engineering Technology Universiti Malaysia Pahang Pekan 26600 Malaysia Faculty of Chemical and Process Engineering Technology Universiti Malaysia Pahang Gambang 26300 Malaysia

Magneto-rheological polishing (MRP) fluid was developed by MR fluid using a magnetic field, non-magnetic abrasives such as SiC and Al 2 O 3 , and carrier medium like oil. A magnetic polishing tool was developed using a super-strong permanent neodymium magnet (Nd 2 Fe 14 B) with 0.5-tesla magnetic intensity. This polishing tool was assembled to the vertical milling machine for the finishing workpieces. In the present research, magnetic materials (steel material) and non-ferromagnetic (copper) content were finishing using a developed MRP setup for experimental investigation. This research also investigated the parametric dependencies of different abrasives on the magneto-rheological finishing process. It determined the effect of magnetic particle concentration and abrasives on the surface roughness of ferromagnetic (stainless steel) and non-ferromagnetic material (copper). The final surface roughness value has reached 30 nm from its initial surface roughness of 800 nm for non-ferromagnetic (copper). For the magnetic material (stainless steel), the value is 50 nm from 1300 nm.

关键词： Magnetorheological Fluid Nanofinishing Polishing Finishing

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Real Life Monitoring of Conveyor Line Speed Using IoT and Raspberry Pi

Real Life Monitoring of Conveyor Line Speed Using IoT and Ra...

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2021 International Conference on Intelligent Technology, System and Service for Internet of Everything, ITSS-IoE 2021

作者： Al-Shahethi, Mohammed Gamal Muneer, Amgad Ghaleb, Ebrahim A. A Darshi, Sam Almohammedi, Akram A. Asia Pacific University Of Technology Innovation School Of Engineering Malaysia Mechatronics Engineering Sana'a University Sana'a Yemen Universiti Teknologi PETRONAS Department Of Computing And Information Sciences Perak Malaysia Indian Institute Of Technology Ropar Department Of Electrical Engineering Punjab India South Ural State University Automobile Transportation Department Chelyabinsk Russia Mechatronic Engineering Department Karabük University Karabük Turkey

ISBN: (纸本)9781665433051

Manual monitoring is time-consuming and frustrates the industry with high costs and delays in the process. This study presented a remote monitoring system for a direct current (DC) motor based on Internet of Things (IoT) for safe and economic data communication in industrial fields. A single sensor monitors the DC motor speed and sends it to the Raspberry Pi microcontroller, which sends it to the cloud database for remote monitoring. The system also presents the manual control methods to adjust the motor speed using a simple potentiometer. Therefore, the proposed system has three functions: measuring, monitoring, and controlling. Measuring is based on an optoisolator sensor and an Arduino Mega microcontroller. Controlling is based on the Potentiometer, Arduino Uno, and a motor drive circuit. Monitoring is based on Raspberry Pi and ThingSpeak platform. Firstly, the speed sensor HC-020K senses the speed Data. Secondly, Arduino Mega extracts the HC-020K sensor's data as a suitable revolution per minute and sends it to Raspberry Pi. Thirdly, Raspberry Pi sends the data to ThingSpeak's Server. Lastly, based on the experiments performed, the system has proved to be very useful and reliable. © 2021 IEEE.

关键词： Microcontrollers

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Transtibial Electromechanical Prosthesis Based on a Parallel Robot: A Innovate Review

Transtibial Electromechanical Prosthesis Based on a Parallel...

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IOT, Electronics and mechatronics Conference (IEMTRONICS), IEEE International

作者： Deyby Huamanchahua Diego Osores-Aguilar Victor André Leó n-Sales Yadhira S. Valenzuela-Lino Harold Huallanca-Escalera Department of Electrical and Mechatronics Engineering Universidad de Ingenieria y Tecnologia-UTEC Lima Per&#x00FA Facultad de Ingenier&#x00ED a Electr&#x00F3 nica y El&#x00E9 ctrica Universidad Nacional Mayor de San Marcos Per&#x00FA Department of Mechatronic Engineering Universidad Continental Huancayo Per&#x00FA Department of Mechatronics Engineering Universidad Peruana de Ciencias Aplicadas-UPC Lima Per&#x00FA

ISBN: (数字)9781665486842

ISBN: (纸本)9781665486859

In recent years, the development of prosthetic limbs has increased due to the various studies that have been carried out around Biomechanics. These technological advances have allowed many amputee patients to return to their daily activities and, in some cases, to recover their social life. However, there are still limitations for some types of prostheses such as passive prostheses, mainly those intended for people with transtibial amputations since they do not perform the physiological function of the joints. Therefore, in-depth research on transtibial prostheses has been carried out. The search period spans from the year 2018 to the year 2021. Information was considered in a simplified and well-structured manner on the design of a transtibial electromechanical prosthesis. Therefore, we will analyze its main features related to its design and application in the patient.

关键词： Legged locomotion Knee Training Parallel robots Technological innovation Prosthetic limbs Surgery

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Experimental and Numerical Investigation on Thermal Characteristics of 2×3 Designed Battery Module

SSRN

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SSRN 2022年

作者： Choudhari, Vivek G. Dhoble, Ashwinkumar S. Panchal, Satyam Fowler, M. Fraser, R. Department of Mechanical Engineering Visvesvaraya National Institute of Technology Nagpur India Department of Mechanical and Mechatronics Engineering University of Waterloo ON Canada Chemical Engineering Departments University of Waterloo 200 University Avenue West Ontario Waterloo Canada Mechanical and Mechatronic Engineering Department University of Waterloo 200 University Avenue West Ontario Waterloo Canada

This paper demonstrates an extensive study on the thermal impacts of Lithium-ion battery module in an electric vehicle. The Li-ion battery module is arranged in a 2×3 pattern in which all six cylindrical cells are arranged in parallel. Temperature characteristics at different locations like the bottom, top, and side of the battery surface at distinct discharge rates are examined. It is observed that maximum temperature occurred at the side of the battery surface. Subsequently, a numerical analysis is carried out to examine the thermal behaviour of a 2×3 battery module. Further, attempts are made to improve the thermal behaviour of the existing battery module at different discharge rates using PCM. It is observed that PCM based battery module reduces the maximum temperature by 5.12% and 7.17% at 3C and 4C discharge rates respectively as compared with a conventional battery module. Results also illustrate that variation in fin spacing inside the battery module helps to provide an optimized PCM based battery module © 2022, The Authors. All rights reserved.

关键词： Lithium-ion batteries

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Diffusion-Based mmWave Radar Point Cloud Enhancement Driven by Range Images

arXiv

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arXiv 2025年

作者： Wu, Ruixin Li, Zihan Wang, Jin Xu, Xiangyu Yu, Huan Zheng, Zhi Huang, Kaixiang Lu, Guodong The State Key Laboratory of Fluid Power and Mechatronic Systems School of Mechanical Engineering Zhejiang University Hangzhou310058 China Zhejiang Key Laboratory of Industrial Big Data and Robot Intelligent Systems Zhejiang University Hangzhou310058 China Robotics Research Center of Yuyao City Ningbo315400 China State Key Laboratory of Robotics and Systems Department of Mechatronics Engineering Harbin Institute of Technology Harbin150001 China

Millimeter-wave (mmWave) radar has attracted significant attention in robotics and autonomous driving. However, despite the perception stability in harsh environments, the point cloud generated by mmWave radar is relatively sparse while containing significant noise, which limits its further development. Traditional mmWave radar enhancement approaches often struggle to leverage the effectiveness of diffusion models in super-resolution, largely due to the unnatural range-azimuth heatmap (RAH) or bird’s eye view (BEV) representation. To overcome this limitation, we propose a novel method that pioneers the application of fusing range images with image diffusion models, achieving accurate and dense mmWave radar point clouds that are similar to LiDAR. Benefitting from the projection that aligns with human observation, the range image representation of mmWave radar is close to natural images, allowing the knowledge from pre-trained image diffusion models to be effectively transferred, significantly improving the overall performance. Extensive evaluations on both public datasets and self-constructed datasets demonstrate that our approach provides substantial improvements, establishing a new state-of-the-art performance in generating truly three-dimensional LiDAR-like point clouds via mmWave radar. Copyright © 2025, The Authors. All rights reserved.

关键词： Radar imaging

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Scale Development of Anxiety Toward Robots in Consumer Robotics: An Approach Using Item Response Theory

Scale Development of Anxiety Toward Robots in Consumer Robot...

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IEEE International Workshop on Robot and Human Communication (ROMAN)

作者： Christina Soyoung Song Jinha Lee Bruce W. Jo Department of Family and Consumer Sciences Fashion Design and Merchandising at the Illinois State University Normal IL USA DeVoe Division of Business Indiana Wesleyan University Marion IN USA Department of Mechanical Engineering and ADAMS (Advanced Mechatronics Aerospace and Mechatronic Systems) Laboratory at Tennessee Technological University Cookeville TN USA

Anxiety toward robots is a pre-conditioned emotion that might inhibit the formation of positive attitudes about interactions with robots. In the context of consumer robotics, this study operationalizes anxiety toward robots as consumers’ anxious feelings and fears about robots in frontline retail encounters. The study evaluates item quality of the anxiety toward robots construct and showcases the benefits of using Classical Test Theory (CTT) and Item Response Theory (IRT) for developing and assessing a scale measurement. The findings of this study suggest that the five items comprising the anxiety toward robots scale demonstrate high measurement quality, indicating their accurate representation of the intended construct. By integrating CTT and IRT analytic techniques, the study successfully builds a reliable scale for measuring anxiety toward robots in a and contributes to the use of an alternative statistical method for facilitating the construction of valid research instruments in consumer robotics.

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Effect of Mindfulness Meditation toward Improvement of Concentration based on Heart Rate Variability

Effect of Mindfulness Meditation toward Improvement of Conce...

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2020 International Conference on Innovation and Intelligence for Informatics, Computing and Technologies, 3ICT 2020

作者： Chin, Lim Chee Rosli, Fatin Farhana Binti Fook, Chong Yen Vikneswaran, Vijean Awang, Saidatul Ardeenawatie Binti Palaniappan, Rajkumar Sport Engineering Research Centre Universiti Malaysia Perlis BioSIM Group Perlis Malaysia Universiti Malaysia Perlis School of Mechatronic Engineering Perlis Malaysia Ama International University Department of Mechatronics Engineering College of Engineering Bahrain

ISBN: (纸本)9781728196732

Mindfulness meditation is a type of therapy for a psychological cure like depression and anxiety that can significantly increase peoples' ability to concentrate and focus. Thus, this paper describes the analysis of mindfulness meditation effect toward concentration study in term of heart rate variability (HRV) signal. A memory test is used as a medium to test the concentration level of 20 participants, and their performance of the electrocardiogram signal was recorded. Peaks detection method and Pan-Tompkin method are used to extract the features like PQRST peaks and R-R interval from the ECG signal. Then, the extracted ECG signal features are classified using KNN method for before and after meditation during the memory test. The result shows that the effect of mindfulness meditation can improve the performance of participants' concentration level. The highest accuracy, sensitivity and specificity performance is obtained from the combination of all six features (P, Q, R, S, T peaks, and R-R interval value), which is 84.58 %, 88.77% and 80.39%. The analysis of memory test produces higher memory test score (69.2%), lesser miss selection (60.8%) and shorter taken time to complete the memory test (2.268 minutes) after mindfulness meditation compared to before mindfulness meditation. The R-R interval value represents heart rate variability (HRV) is important to prove that most of the participants are more relax and can handle their stress better after doing mindfulness meditation. © 2020 IEEE.

关键词： Electrocardiograms

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Intelligent sensors based on amorphous nanostructures according to achieve an optimal waste collection in Lima Peru

Intelligent sensors based on amorphous nanostructures accord...

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IEEE Conference on Industrial Electronics and Applications (ICIEA)

作者： J. Alan Calderón Ch. E. Benjamín Barriga G. Julio C. Tafur Alan Ccarita John Lozano Rodrigo Urbizagástegui Applied Nanophysics Institute for Physics Technical University of Ilmenau Ilmenau Germany Engineering Department Mechatronics Engineering Master Program Pontificia Universidad Católica del Perú Perú Engineering Department Mechanical Engineering Master Program Pontificia Universidad Católica del Perú Perú Engineering Department Control Engineering and Automation Master Program Mechatronic Engineering Master Program Pontificia Universidad Católica del Perú Perú Northen (Artic) Federal University Named After MV Lomonosov Arkhangelsk Russian Federation Engineering Department Engineering Electronic Section Pontificia Universidad Católica del Perú Perú

ISBN: (纸本)9781665409858

An optimal waste collection is a very complicated task in different countries. However, this task is more intricate, when there is not an organized procedure between people, government and technology. In this research it was studied and proposed strategies, to optimize the waste collection by technical suggestions, that were based on mathematical analysis and new technologies applications of sensors based on nanostructures due to this kind of sensors have good performance to measure physical variables in not simple places and conditions, such as around waste. Hence the reason, this work is prepared to contribute in the development of sensors based on nanostructures according to detect the physical variables: temperature, humidity, infrared reflection, moreover carbon dioxide (CO2) and methane (CH4) gases, which help to monitor the consequences of a not correct waste *** dependence on central and local government rules of waste management, it could be possible to find solution about organized waste collection, in which every family and walkers in streets would have the task to select the organic and inorganic garbage before the government trucks take the contents of the garbage trash cans to the landfill garbage dumps. However, many times the trash cans are not taken on time by the government trucks and garbage from them are producing gases and decomposition that causes contamination that damages health. Therefore, in this work there are proposed designed intelligent sensors, which are fixed in the trash cans due to measure physical parameters to give alarm for administrators controllers of boxes and to enhance the garbage selections from homes and streets to the main garbage landfills of the city. In other side, there will not be right solution in the waste collection, no matter the high advantage technologies, while humans could not be sensitive under this problematic. There are cleaned areas in cities, as for example touristic places, nevertheless, there

关键词： Temperature sensors Temperature measurement Waste management Gases Temperature dependence Urban areas Nanostructures

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