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Advances in Science and engineering Technology International Conferences (ASET)

作者： Megan Ghaly Rohan Mitra Abdullah Al Rayess Assem Ahmed Dara Varam Mohammad A. Jaradat Michel Pasquier Ahmed Khalil Department of Mechanical Engineering American University of Sharjah Sharjah UAE Department of Computer Science and Engineering American University of Sharjah Sharjah UAE Mechatronics Engineering Gradute Program American University of Sharjah Sharjah UAE

The Middle Eastern and North African region is highly reliant on the oil and gas industry. Subsequently, the need for pipeline inspection and fault diagnosis has become paramount. Current inspection methods rely on manual procedures that introduce sources of error into the results. In this paper, the design for a hybrid rolling and flying unmanned aerial vehicle (UAV) for pipeline inspection is proposed. The UAV was developed with a rolling frame capable of landing on pipelines to externally inspect them for cracks, leaks, or faults by traversing along the pipeline's surface while maintaining its stability. The hybrid UAV uses a camera to classify cracks along the surface of the pipeline using deep learning models. The paper then tests several models and deploys the best model found during testing -MobileNet100 along with the proposed design for the UAV. Finally, the prototype that was presented in this paper has been tested within a controlled environment to verify the compliance of the flying, rolling and fault detection subsystems.

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Evaluation of the Influence of Eggshell (ES) Concentration on the Degradation Behavior of Mg-2.5Zn Biodegradable Alloy in Simulated Body Fluid

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ACS Biomaterials Science and engineering 2023年第5期9卷 2376-2391页

作者： Radwan, A. Bahgat Okonkwo, Paul C. Murugan, Srinivasan Parande, Gururaj Taryba, Maryna Montemor, M. Fatima Al-Mansoori, Layla Elrayess, Mohamed A. Al-Qahtani, Noora Gupta, Manoj Youssef, Khaled M. Case, Raymundo Shakoor, R.A. Abdullah, Aboubakr M. Center for Advanced Materials Qatar University Doha2713 Qatar Department of Mechanical and Mechatronics Engineering Dhofar University Salalah211 Oman Mahendra Engineering College Tamil Nadu Namakkal637503 India Department of Mechanical Engineering National University of Singapore 9 Engineering Drive 1 Singapore117576 Singapore Centro de Quimica Estrutural Instituto Superior Técnico Universidade de Lisboa Avenida Rovisco Pais Lisboa1049-001 Portugal Qatar University Doha2713 Qatar Materials Science and Technology Graduate Program College of Arts and Sciences Qatar University Doha2713 Qatar Department of Materials Science and Engineering Texas A&M University College StationTX77843 United States

Currently, permanent vascular stents are fabricated using titanium and stainless steel implants that are nondegradable and offer high stability, but they have certain disadvantages. For example, the prolonged exposition of aggressive ions in the physiological media and the existence of defects in the oxide film create conditions for corrosion to occur, thus triggering unwanted biological events and compromising the mechanical integrity of the implants. Moreover, when the implant does not need to be permanent, there is the need to submit the patient for a second surgery for implant removal. As a solution for nonpermanent implants, biodegradable magnesium alloys have been deemed a promising substitute, for example, for cardiovascular-related applications and the construction of orthopedic devices. A biodegradable magnesium alloy (Mg-2.5Zn) reinforced by zinc and eggshell was employed in this study as an environment-conscious magnesium (eco) composite (Mg-2.5Zn-xES). Disintegrated melt deposition (DMD) was used to fabricate the composite. Experimental studies were conducted to investigate the biodegradation performance of Mg-Zn alloys containing 3 and 7 wt % eggshell (ES) in simulated body fluid (SBF) at 37 °C. Different corrosion techniques were used to study the corrosion behavior of the Mg-2.5Zn-xES composites, including weight loss measurements, hydrogen evolution, potentiodynamic polarization, electrochemical impedance spectroscopy (EIS), and scanning vibrating electrode technique (SVET). Scanning electron microscopy (SEM) coupled with energy-dispersive X-ray spectroscopy (EDS), X-ray photoelectron spectroscopy (XPS), and X-ray diffraction (XRD) were employed to scrutinize the corroded surfaces’ morphology and composition. The outcomes indicated that Mg-2.5Zn-3ES possesses the lowest degradation activity. © 2023 American Chemical Society.

关键词： Electrochemical impedance spectroscopy

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Robust Sliding Mode Based Finite-time Bilateral Shared Teleoperation System with Unsymmetrical Time-Varying Delay* 48

Robust Sliding Mode Based Finite-time Bilateral Shared Teleo...

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48th Annual Conference of the IEEE Industrial Electronics Society, IECON 2022

作者： Islam, Shafiqul Sunda-Meya, Anderson Xavier University of Louisiana Dual Degree Engineering Program Intelligent Robotics Mechatronics & Autonomous Systems Lab New Orleans70125 United States Xavier University of Louisiana College of Arts & Sciences New Orleans70125 United States

ISBN: (数字)9781665480253

ISBN: (纸本)9781665480253

This paper presents sliding mode-based finite-time synchronization algorithms for bilateral shared teleoperation systems under unsymmetrical time-varying delay and uncertainty. The synchronization algorithms are designed by using Lyapunov and sliding mode control theory. First, the model-based finite-time synchronization algorithms are designed by using sliding mode control theory with the presence of time-varying delays and uncertainty. Then, robust adaptive finite-time synchronization algorithms are designed for bilateral shared teleoperation systems with the presence of time-varying delays. Adaptive learning algorithms learn and adapt with uncertainty associated with the unmodeled dynamics and external disturbances. Lyapunov analysis shows that the tracking errors between master and slave manipulators converge to the sliding surface in finite time. It also shows that the tracking errors asymptotically converge to zero on the sliding surface. The design provides finite-time convergence of the states to reach the sliding surface as opposed to asymptotic convergence-based bilateral shared teleoperation systems. The design and analysis do not use the exact bound of the uncertainty. In contrast with asymptotic design, finite-time convergence can ensure faster and more robust tracking in the presence of uncertainty and time-varying delays. Unlike reported designs, the proposed algorithms can ensure convergence with the presence of unsymmetrical time-varying delays. © 2022 IEEE.

关键词： Time delay

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Evaluation of 3D Virtualization Accuracy for VR-Based Personal Basketball Team-Practice System 10

Evaluation of 3D Virtualization Accuracy for VR-Based Person...

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10th IEEE Global Conference on Consumer Electronics, GCCE 2021

作者： Honma, Hiroki Iida, Yoshiaki Okumura, Yasuyuki Fujii, Katsuyuki Umehira, Masahiro Nanzan University Graduate Program of Mechatronics Graduate School of Science And Engineering Nagoya Japan Nanzan University Physical Education Center Nagoya Japan Nanzan University Faculty of Science And Engineering Department of Mechatronics Nagoya Japan Department of Electronics And Communication Technology Faculty of Science And Engineering Nanzan University Nagoya Japan

ISBN: (纸本)9781665436762

In basketball game, players need to learn how to take a next appropriate action by judging various situations with surrounding players through team practice. Such decision-making capabilities in individual practice with virtual reality (VR) technologies can significantly improve the efficiency of team practice. This paper proposes a VR-based basketball team practice learning system which provides VR environments similar to the actual team practice environments by arranging players in a virtual space Proto-type application for smartphones has been developed for 3D virtualization accuracy evaluation where the smartphone is used for team practice to sense the distance between the player and surrounding VR players This paper describes the evaluation results of 3D virtualization accuracy measured by the experiments. © 2021 IEEE.

关键词： Virtual reality

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The Design of a Drone-Assisted System for Large Wildlife Vaccination Shooting Based on AI Image Identification Technology

The Design of a Drone-Assisted System for Large Wildlife Vac...

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IEEE International Conference on e-Business engineering (ICEBE)

作者： Yao-Yu Tsai Yao-Chuan Tsai Chang-Hsien Tai Chen-Chih Chen Uzu-Kuei Hsu Department of Bio-Industrial Mechatronics Engineering Sustainable Circular Economy R&D Center National Chung Hsing University/National Pingtung University of Science and Technology Pingtung/Taichung Taiwan Department of Bio-Industrial Mechatronics Engineering National Chung Hsing University Taichung Taiwan College of Biomedical Engineering and Technology Tzu Chi University Hualien Taiwan Institute of Wildlife Conservation National Pingtung University of Science and Technology Pingtung Taiwan Program of Artificial Intelligence and Mechatronics National Pingtung University of Science and Technology Pingtung Taiwan

ISBN: (数字)9798350365856

ISBN: (纸本)9798350365863

This study designs a UAV -assisted system integrated with AI image recognition technology to alleviate the difficulty for operators in stabilizing the UAV and accurately administering vaccines. The system uses thermal imaging modules and AI recognition systems to lock onto and track target animals in real-time. Utilizing MAVLink, the UAV adjusts its flight path based on the dynamic behavior of the animals, ensuring that the target remains within shooting range for precise vaccine administration. This technology not only improves the efficiency and accuracy of wildlife vaccination but also significantly reduces the workload on operators, providing a forward-looking solution for wildlife management.

关键词： Accuracy Image recognition Target tracking Target recognition Wildlife Autonomous aerial vehicles Real-time systems Vaccines Artificial intelligence Monitoring

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A Cascade Deep Neural Network Approach for Oil Spills Classification and Detection

A Cascade Deep Neural Network Approach for Oil Spills Classi...

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International Conference on Electric Power and Energy Conversion Systems (EPECS)

作者： Mohammad Rashwan Mohammed Alhadi Mohammad A. Jaradat Mohammad I. Daoud Mechatronics Graduate Program American University of Sharjah Sharjah United Arab Emirates Mechanical Engineering Department American University of Sharjah Sharjah United Arab Emirates Computer Science and Engineering Department American University of Sharjah Sharjah United Arab Emirates

ISBN: (数字)9798331516963

ISBN: (纸本)9798331516970

Oil spills represent a growing environmental challenge that poses a significant threat to living organisms. Moreover, the treatment of oil spills, especially in severe cases, has serious economic repercussions and requires substantial labor and time. Therefore, the effective detection of oil spills has become an important research problem. Traditional methods for detecting oil spills, such as manual patrolling and dynamic sensors, are often limited in accuracy and coverage. As a result, the automation of oil spills detection has emerged as a critical global imperative in scientific research. The aim of this paper is to employ deep learning technology to achieve effective detection of oil spills based on aerial images. Our approach is composed of two phases. In the first phase, a Deep Convolutional Neural Network (DCNN), namely ResNet50, is trained on a large dataset containing images showing oil spills at a seaport. The trained DCNN is used to classify the input image as "Oil Spill" or "No Oil Spill". In the second phase, the images classified as "Oil Spill" are analyzed using a deep learning detection model, namely You-Only-Look-Once (YOLOv4), to localize the oil spills. The results indicate the capability of the proposed method to achieve effective oil spill detection. In particular, the classification accuracy obtained by the ResNet50 model is equal to 98%. Moreover, the YOLOv4 model was able to obtain effective localization of the oil spills with mean-average precision of 62%.

关键词： Deep learning Accuracy Oils Manuals Seaports Organisms Sensors Power systems Convolutional neural networks Residual neural networks

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Sentimental Analysis on Social Media Comments with Recurring Models and Pretrained Word Embeddings in Portuguese 6

Sentimental Analysis on Social Media Comments with Recurring...

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6th International Conference on Natural Language Processing and Information Retrieval, NLPIR 2022

作者： Villalobos, Cristian Muoz Forero, Mendoza Leonardo A. De Mello, Harold D. Cavalcanti, Marco Pacheco Valencia, Cesar H. Orjuela-Cañon, Alvaro D. Department of Electrical Engineering Pontifical Catholic University of Rio de Janeiro Rio de Janeiro Brazil Department of Electrical Engineering State University of Rio de Janeiro Rio de Janeiro Brazil Engineering Mechatronics Program Saint Thomas University Bucaramanga Colombia School of Medicine and Health Sciences Universidad Del Rosario Bogotá Colombia

ISBN: (纸本)9781450397629

Natural Language Processing (NLP) techniques are increasingly powerful for interpreting a person's feelings and reaction to a product or service. Sentiment analysis has become a fundamental tool for this interpretation, and it has studies in languages other than English. This type of application is uncommon and unheard of in Portuguese. This article presents a sentiment analysis classification based on Portuguese social media comments. Representation of word embeddings with both pre-trained Glove and Word2Vec models were generated through a corpus entirely in Portuguese. This article presents a set of results with different models of pre-trained layers and deep learning models exclusive to the Portuguese language on social networks. Two classification models were used and compared: (i) Bidirectional Long Short-Term Memory (BI-LSTM) and (ii) Bidirectional Gated Recurrent Unit (BI-GRU), achieving accuracy results of 99.1 © 2022 ACM.

关键词： Sentiment analysis

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Kinematics Analysis of a 3DoF Hip Exoskeleton and Workspace Simulation 2021

Kinematics Analysis of a 3DoF Hip Exoskeleton and Workspace ...

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2021 International Conference on Mechanical, Aerospace and Automotive engineering

作者： Deyby Huamanchahua Nick Soto Conde Jean Carlos Vasquez Frias Diego Lopez Meza Angel E. Alvarez-Rodríguez Department of Electrical and Mechatronics Engineering Universidad de Ingenieria y Tecnologia - UTEC Peru Mechatronics Engineering Program Universidad Nacional de Ingeniería Peru Department of Mechatronics Engineering Universidad Peruana de Ciencias Aplicadas Peru Department of Mechatronic Engineering Universidad Continental Peru Mechatronic Engineering Universidad Tecnológica del Perú Peru

ISBN: (纸本)9781450385206

This paper deals with the direct kinematic analysis of a hip exoskeleton with 3 Degrees of Freedom (DoF), to assist users in walking. A methodology based on the Denavit Hartenberg (D-H) convention is presented, in the orientation Euler angles were used. For the calculation the open-source software Jupiter is used as a testing tool, the simulation is performed with Wolfram software. The results obtained will be used for dynamic analysis and mechanical design in subsequent studies.

关键词： Hip Exoskeleton Kinematic analysis Denavit-Hartenberg convention

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Robotic limb gait-tracking using deep-q-network 21

Robotic limb gait-tracking using deep-q-network

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21st International Conference of the European Society for Precision engineering and Nanotechnology, EUSPEN 2021

作者： Tzeng, Eric J. Chen, S.C. Chen, J.L. Roche, A.E. Chen, J.L. Department of Mechanical Engineering Chung-Hsing University Taichung Taiwan The Master Program in Mechatronics New York University New York CityNY United States

ISBN: (纸本)9780995775190

In the current landscape of robotic limb control for biped and quadruped robots, inverse kinematics and other mathematical methods are used to model the position and torque of the limb. However, due to the complexity of their parameters, inverse kinematic models can result in infinite solutions unless constraints are set. Moreover, force and torque models are required to ensure the multiped robot can maintain stability during operation. This paper explores the adoption of the reinforcement learning technique, Deep Q Network (DQN). The model-free condition of DQN allows the model to learn the gait without the constraints that are required in the inverse kinematic model. Under the DQN model, the robot limb is able to successfully complete a steady cycloid gait within 3 600 cycles. When faced with a randomly generated obstacle, the robot limb under the DQN model is still able to successfully complete the cycloid gait cycles using a raw model. Furthermore, this method shows substantial torque optimization under a given reward function with different load conditions. The model allows additional reward constraints. © 2021 Proceedings of the 21st International Conference of the European Society for Precision engineering and Nanotechnology, EUSPEN 2021. All rights reserved.

关键词： Robots

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Low Complexity Broadband Array Processing in Dynamic Scenarios with Jamming

Low Complexity Broadband Array Processing in Dynamic Scenari...

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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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