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International Conference on Computer and Applications (ICCA)

作者： Mahmoud Akram Khedr Amr Taher Bakkar Yossef Ayman Zedan Abdelrahman Youssef Abdelfattah Mahmoud Magdy Mostafa Abdelaziz Mechatronics & Robotics Engineering (Robotics Engineering) The British University in Egypt Cairo Egypt Mechatronics & Robotics Mechanical Engineering The British University in Egypt Cairo Egypt

ISBN: (数字)9798350367560

ISBN: (纸本)9798350367577

Plastic pollution poses a critical environmental challenge, infiltrating ecosystems and impacting human health. One innovative solution involves repurposing recycled plastics into interlocking blocks as a sustainable alternative to concrete in construction. However, manual production methods hinder scalability, efficiency, and product consistency while generating material waste. This research addresses these limitations by automating the production process using PLC and IoT technologies. The findings demonstrate that automation significantly enhances production rates, ensures consistent quality, and minimizes waste, thereby improving operational efficiency and environmental sustainability. IoT is integrated to enhance the system's capabilities by providing real-time connectivity and data exchange. The IoT dashboard, developed using HTML5, CSS3, JavaScript, PHP, and MySQL, enables the monitoring of sensor readings and production metrics, further optimizing the process. Additionally, the scalable and adaptable design supports broader implementation, promoting sustainable practices and advancing the circular economy.

关键词： Automation Scalability Programmable logic devices Process control Production Robot sensing systems Real-time systems Recycling Internet of Things Sustainable development

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Fully Tunable Fabry-Perot Cavity on Silicon Photonic MEMS with 10 nW Static Power Consumption

Fully Tunable Fabry-Perot Cavity on Silicon Photonic MEMS wi...

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2023 Conference on Lasers and Electro-Optics, CLEO 2023

作者： Park, Young J. Her, Man J. Kim, Dong U. Choi, Dong J. Lim, Min G. Hong, Myung S. Han, Sangyoon Department of Robotics and Mechatronics Engineering Daegu Gyeongbuk Institute of Science and Technology Daegu42988 Korea Republic of

We report on a fully tunable Fabry-Perot cavity on the silicon photonic MEMS having only 10nW static power. Its resonance wavelength is tunable over the full FSR, and its transmissivity is tunable up to 3.8dB. © ... 详细信息

ISBN: (纸本)9781957171258

关键词： Electric power utilization

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AI-Driven Robotic System for Predictive Maintenance: Urban Road Defect Detection in Smart Cities

AI-Driven Robotic System for Predictive Maintenance: Urban R...

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International Conference on Computer and Applications (ICCA)

作者： Mahmoud Akram Khedr Mostafa Abdelaziz Mechatronics & Robotics Engineering (Robotics Engineering) The British University in Egypt Cairo Egypt Mechatronics & Robotics Engineering Mechanical Engineering The British University in Egypt Cairo Egypt

ISBN: (数字)9798350367560

ISBN: (纸本)9798350367577

This paper presents the development and evaluation of an integrated AI & robotic solution for predictive maintenance in smart cities, focusing on urban road defect detection. The proposed system integrates a mobile robot equipped with a high-resolution camera and a GPS module to capture video footage and geolocation data of road surfaces. The collected data is processed using cloud-based AI models, with YOLOv9 and Roboflow 3.0 Object Detection (Fast) identified as the most effective for analyzing footage to detect cracks and potholes. Experimental results validate the system's ability to accurately identify defects and generate timely reports for maintenance teams. While the approach proved effective in reducing maintenance costs, improving road safety, and extending infrastructure lifespan, limitations were identified, including GPS inaccuracies within a few meters and the challenges posed by an insufficient dataset. These findings emphasize the potential of robotic systems for enhancing urban infrastructure management while highlighting areas for future improvement.

关键词： Smart cities Robot vision systems Road safety Maintenance Sustainable development Surface cracks Surface treatment Predictive maintenance Global Positioning System Defect detection

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Keypoints Estimation on Partial Point Clouds 6

Keypoints Estimation on Partial Point Clouds

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6th International Conference on robotics and Automation in Industry, ICRAI 2024

作者： Saleem, Maryam Zohaib, Mohammad Naqvi, Syed Abbas Zilqurnain UET Human Centered Robotics Lab Department of Mechatronics and Control Engineering Lahore Pakistan SIGMA Clermont University of Clermont Auvergne Aubiere France

ISBN: (纸本)9798350355703

Estimating 3D keypoints of an object has achieved considerable interest, especially in computer graphics and ma-chine vision. The complexity of the problem increases when the object is noisy, decimated, or partially occluded. To this end, we present an approach to estimate 3D keypoints from the partial PCDs such that they also highlight the object's missing parts. It is based on two modules: shape completion and keypoints estimation. The first module computes the object's missing parts and generates a dense shape which is used by the second module to estimate semantically and geometrically consistent keypoints. The approach also estimates confidence scores that allow the selection of valid keypoint considering the object's structure. We evaluate the proposed method for four different backbones and observe that we get better results using PointNet. Furthermore, the presented results show that the Percentage of Correct Keypoints (PCK) and Dual Alignment Score (DAS) for the keypoints estimated from the dense shapes (36.61 and 76.29) are 23.51 % and 12.14% higher, respectively, compared to those estimated from the partial objects (13.10 and 64.15). © 2024 IEEE.

关键词： 3D modeling

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Research on Size Calibration Algorithm of Dark-field Flaw on Optics Surface Based on Convolutional Neural Network

Research on Size Calibration Algorithm of Dark-field Flaw on...

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2024 Applied Optics and Photonics China: Optical Sensing, Imaging Technology, and Applications, AOPC 2024

作者： Wang, Bei Yin, Zhaoyang Zhou, Shicheng Zhao, Linjie Chen, Mingjun Cheng, Jian School of Mechatronics Engineering Harbin Institute of Technology Harbin China State Key Laboratory of Robotics and System Harbin Institute of Technology 150001 China

ISBN: (数字)9781510687820

ISBN: (纸本)9781510687813

Optics in high-power solid-state laser devices will be damaged and adhere to contaminates on the surface during manufacturing and operation, which reduces the service life. To facilitate the positioning and recognition of the flaw (damage and contaminates) in the process of automatic repair, the dark-field flaw size calibration algorithm was studied. In this paper, a flaw size calibration model based on convolutional neural network was established. The size, exposure time, and loss function of damage and contaminate were optimized respectively. The training parameter of the damage regression model is determined to be size of less than 500μm, 30ms of exposure time and SmoothL1 loss function, and the parameter of contaminate is 0-100μm, 20ms of exposure and SmoothL1 loss function. After data balancing, the calibration precision was improved. To improve the calibration consistency of the full-size segment, a comprehensive size calibration strategy is proposed. The CNN regression algorithm is used for small size, and the pixel-level calibration algorithm is used for large size. Compared with the single regression calibration algorithm, the relative error and absolute error of the calibration results of small damage ( © 2024 SPIE.

关键词： Solid state lasers

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A Top-View Hand Gesture Recognition System for IoT Applications 5

A Top-View Hand Gesture Recognition System for IoT Applicati...

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5th International Conference on Smart Systems and Inventive Technology, ICSSIT 2023

作者： Wisener, William J. Rodriguez, Jorge Diaz Ovando, Ammy Woolford, Christopher Patel, Kishan Kennesaw State University Dept. of Robotics and Mechatronics Engineering Department of Physics AtlantaGA United States

ISBN: (纸本)9781665474672

Gesture recognition integrated into Internet of Things (IoT) systems is a growing field with opportunities for improvement. Identifying hand gestures from vertical angles with a cooperative network of cameras can enable a broader collection of control methods for controlling IoT devices within residential and commercial environments. Integrating this smart home framework with other IoT control methodologies also creates a more user-friendly experience. To generate a proof of concept of the effectiveness with this control framework, a convolutional neural network was created using the YOLOv7 deep learning architecture and Roboflow software. This image detection network was connected to a simulated IoT device via Home Assistant home automation software and communicates using the MQTT protocol. The gesture detection system was tested on different camera setups to evaluate the importance of camera position and data sharing within a smart-home device network. © 2023 IEEE.

关键词： Internet of things

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Recent Developments in Metallic Degradable Micromotors for Biomedical and Environmental Remediation Applications

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Nano-Micro Letters 2024年第3期16卷 1-35页

作者： Sourav Dutta Seungmin Noh Roger Sanchis Gual Xiangzhong Chen Salvador Pané Bradley J.Nelson Hongsoo Choi Department of Robotics and Mechatronics Engineering Daegu Gyeongbuk Institute of Science and Technology(DGIST)Daegu 42988Republic of Korea DGIST‑ETH Microrobotics Research Center DGISTDaegu 42988Republic of Korea Multi‑Scale Robotics Lab Institute of Robotics and Intelligent SystemsETH Zurich8092 ZurichSwitzerland Institute of Optoelectronics State Key Laboratory of Photovoltaic Science and TechnologyShanghai Frontiers Science Research Base of Intelligent Optoelectronics and PerceptionFudan UniversityShanghai 200433People’s Republic of China

Synthetic micromotor has gained substantial attention in biomedicine and environmental ***-based degradable micromotor composed of magnesium(Mg),zinc(Zn),and iron(Fe)have promise due to their nontoxic fuel-free propulsion,favorable biocompatibility,and safe excretion of degradation products Recent advances in degradable metallic micromotor have shown their fast movement in complex biological media,efficient cargo delivery and favorable biocompatibility.A noteworthy number of degradable metal-based micromotors employ bubble propulsion,utilizing water as fuel to generate hydrogen *** novel feature has projected degradable metallic micromotors for active in vivo drug delivery *** addition,understanding the degradation mechanism of these micromotors is also a key parameter for their design and *** propulsion efficiency and life span govern the overall performance of a degradable metallic *** we review the design and recent advancements of metallic degradable ***,we describe the controlled degradation,efficient in vivo drug delivery,and built-in acid neutralization capabilities of degradable micromotors with versatile biomedical ***,we discuss micromotors’efficacy in detecting and destroying environmental ***,we address the limitations and future research directions of degradable metallic micromotors.

关键词： Magnesium Zinc Iron Biodegradable microrobot Biomedical Environmental

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Real-Time License Plate Detection and Recognition System using YOLOv7x and EasyOCR

Real-Time License Plate Detection and Recognition System usi...

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2023 IEEE Global Conference on Information Technologies and Communications, GCITC 2023

作者： Dhyani, Sachin Kumar, Vijay Chitkara University Institute of Engineering and Technology Chitkara University Robotics and Mechatronics Research Lab Punjab 140417 India

ISBN: (纸本)9798350308167

Automated license plate detection system is used for recognition and locating of license plates on vehicles using image processing and computer vision methods. Automated license plate detection is an important area of research in computer vision with far-reaching applications in the industrial sector. It has the potential to increase productivity and accuracy in numerous industrial applications. The procedure entails utilizing a camera to take a photo of a vehicle's license plate, processing the photo to identify the plate, and extracting the characters from the plate. This paper provides implementation of the YOLOv7x algorithm to detect license plate on vehicles. EasyOCR is applied to the detected license plate to recognize the text. The model is trained on a customized dataset consisting of only Indian vehicles license plate. The proposed work achieves a high accuracy of 99% and outperforms old techniques like Yolov3, darknet, CNN. © 2023 IEEE.

关键词： autonomous vehicle license plate recognition object detection yolov7

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INNOVATIVE Y-SHAPED STENT FABRICATION: A LEAP FORWARD IN BIFURCATION LESION TREATMENT

INNOVATIVE Y-SHAPED STENT FABRICATION: A LEAP FORWARD IN BIF...

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ASME 2024 International Mechanical engineering Congress and Exposition, IMECE 2024

作者： Gharaie, Saleh Zolfagharian, Ali Moghadam, Amir Ali Amiri School of Engineering Faculty of Science Engineering and Built Environment Deakin University Burwood Australia Dept. of Robotics & Mechatronics Engineering Kennesaw State University AtlantaGA United States

ISBN: (纸本)9780791888629

This study introduces a novel method for fabricating Yshaped stents from Nitinol sheets, aimed at addressing clinical needs more effectively than current braided designs. Stents play a crucial role in treating narrowed blood vessels, but conventional methods often result in high bending resistance and increased risk of in-stent restenosis (ISR). The proposed method allows for precise control over the stent's flexibility and mesh density, overcoming the limitations of braiding techniques. A complex Y-shaped stent design was developed and subjected to extensive mechanical testing, including tensile, bending, and crush resistance tests, and finite element analysis (FEA). The results demonstrated that the developed stent exhibited superior flexibility, lower bending resistance, and high structural integrity under various load conditions. The stent's performance was benchmarked against a commercially available Y-shaped stent, showing comparable or improved mechanical properties. This innovative approach enhances the mechanical performance of Yshaped stents and also opens new possibilities for design customization, potentially improving clinical outcomes and reducing complications associated with stent implantation. Copyright © 2024 by ASME.

关键词： Tensile testing

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Steady-State Analysis of the Constant Power Region in Distributed Maximum Power Point Tracking Architecture with Photovoltaic Applications

Steady-State Analysis of the Constant Power Region in Distri...

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2024 IEEE Energy Conversion Congress and Exposition, ECCE 2024

作者： Chu, Guanying Bu, Qinglei Yang, Meilin Xi'an Jiaotong-Liverpool University Department of Electrical Engineering Suzhou China Xi'an Jiaotong-Liverpool University Department of Mechatronics and Robotics Suzhou China

ISBN: (纸本)9798350376067

This study analyzes the steady-state characteristics of distributed maximum power point tracking (DMPPT) architecture in photovoltaic systems, focusing on full power processing (FPP) with series-connected direct current power optimizers (DCPOs). The decentralization approach of the FPP structure utilizes the independent DCPO for each PV module to solve mismatch issues. However, each PV-to-DCPO unit is not truly independent, and it is necessary to connect the output terminals of DCPO in series or parallel to meet the grid-connected voltage of the string-level inverter. The research examines the constant power region (CPR) of DCPO outputs and string-level performance under various mismatch conditions for boost and buck converter topologies. Considering practical constraints like duty cycle limitations, the study reveals that the existence and optimal string-level CPR width depend on environmental conditions and converter type. Severe mismatches can eliminate the optimal CPR in boost-based systems, while buck-based DCPOs generally maintain a positive CPR width, though extreme shading can significantly impact performance. These findings provide crucial insights into FPP-based DMPPT architecture limitations and emphasize the importance of considering real-world constraints in system design and evaluation. © 2024 IEEE.

关键词： Maximum power point trackers

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