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2022 IEEE International Conference on Industrial engineering and engineering Management, IEEM 2022

作者： Widiawati, Karsi Sopha, Bertha Maya Wardana, Fakhri Kusuma Universitas Gadjah Mada Industrial Engineering Program Department of Mechanical and Industrial Engineering Yogyakarta55281 Indonesia

ISBN: (数字)9781665486873

ISBN: (纸本)9781665486873

Electric vehicles have been considered as one of the measures to reduce emissions in Indonesia. The paper aims at understanding public acceptance toward electric vehicles in Indonesia. An empirical survey involving eighty respondents was conducted to collect data on the technical performance, the usage, the perception of electric vehicle as well as the respondents' characteristics. The data was analysis using multinomial logistic regression (MLR) to identity the significant factors explaining the acceptance toward electric vehicles. It is found that the technical performance of electric vehicles, the use of electric vehicles, perceptions of electric vehicles, and consumer characteristics are all to be significant in public acceptance of electric vehicles. Among the factors, the technical performance appears to be the most significant, whereas the usage factor (operating and maintenance cost, supporting facilities) is least significant. The application of MLR and potential interventions to improve public acceptance of electric vehicles in Indonesia are presented. Avenues for potential future research are also discussed. © 2022 IEEE.

关键词： Vehicle performance

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Development of a Smart Guidewire for Intravascular Sensing 9th

Development of a Smart Guidewire for Intravascular Sensing

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9th International Conference on the Development of Biomedical engineering in Vietnam, BME 2022

作者： Dong, Chao-Wei Joo, Dong-Hyun Moon, Ki-Jeong Yoon, Se-Yeon Nguyen, Hua Quang Huy Park, Woo-Tae Department of Mechanical Engineering Seoul National University of Science and Technology Seoul01811 Korea Republic of Convergence Program of Biomedical Engineering and Biomaterials Seoul National University of Science and Technology Seoul01811 Korea Republic of

ISBN: (纸本)9783031446290

This study presents a smart guidewire developed to measure the pressure inside blood vessels during minimally invasive surgery. The use of pressure sensor guidewires enables the medical doctor to make a judgement of the stent insertion procedure by precisely measuring coronary pressure. A pressure sensor is embedded inside the guidewire to measure the coronary lesion's vascular pressure to determine the clogging's severity. Pressure sensors inside the guidewires require high sensitivity, good linearity, and huge size reduction. The pressure sensor needs to be packaged inside a 350 µm diameter catheter. Size constraints and mechanical reliability requirements are extremely high. We describe the design and manufacture of the micro-scaled pressure sensor and the packaging process of the guidewire. To improve sensor sensitivity and reduce nonlinearity, we employed a finite element analysis to optimize the design for the membrane. The sensor fabrication process employs a cavity-first process for ultrathin sensor design. Additionally, we built a measurement system that records the sensor signal in air pressure. The results showed that the air pressure ranged up to 7.2 psi. We developed a systematic setup for assembling the ultraminiature pressure sensor inside the 800 µm guidewire. The packaging procedure includes the preparation of the electric wires, sensor placement, sensor to wire alignment, soldering, and finally, wired sensor placement inside the medical tubing. © The Author(s), under exclusive license to Springer Nature Switzerland AG. 2024.

关键词： Pressure sensors

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Resampling Strategies for Increasing Point Density in Narrow Passages for Probabilistic Roadmaps

Resampling Strategies for Increasing Point Density in Narrow...

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ASME/IFToMM International Conference on Reconfigurable Mechanisms and Robots, ReMAR

作者： Bartłomiej Bonar Tomasz Buratowski Department of Robotics and Mechatronics Faculty of Mechanical Engineering and Robotics AGH University of Krakow Kraków Poland

ISBN: (数字)9798350395969

ISBN: (纸本)9798350395976

This paper presents multiple point-sampling strategies for stochastic approach to path planning. Their main purpose is to increase points density in narrow corridors, which are often difficult areas to navigate using non-deterministic approach for path planning. At the same time, algorithms for distributing points over the area of narrow regions and reducing their number in open space are described as well as postprocessing algorithm distancing samples from obstacles. Simulation-based tests are performed to compare achieved results and estimate calculation times.

关键词： Navigation Gaussian distribution Probabilistic logic Vectors Path planning Computational efficiency Complexity theory

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Detection and Classification in Ballistic Drone Capturing Based on Transfer Learning Networks Using Infrared Images 6

Detection and Classification in Ballistic Drone Capturing Ba...

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6th IEEE Conference on Information and Communication Technology, CICT 2022

作者： Harsha Vardhan Reddy, M. Gothandaraman, Rajkumar Muthuswamy, Sreekumar Amrita School of Engineering Amrita Vishwa Vidyapeetham Department of Mechanical Engineering Chennai India Indian Institute of Information Technology Design and Manufacturing Center for Al IoT and Robotics Department of Mechanical Engineering Chennai Kancheepuram India

ISBN: (纸本)9781665473125

Unmanned aerial vehicles and drones are flying objects carrying small payloads for various applications, including agriculture, photography for weddings & religious ceremonies, e-commerce deliveries, remote sensing, 3D mapping, surveillance and defense. These flying objects also called as drones are available in two variants;1. Fixed wing propeller type, and 2. Multi-wings propeller type. Nowadays, UAVs and Drones are the primary threat to the national security on the mainland and the line of actual control. Generally, these threat-rising drones can be eradicated by anti-missile techniques, which are not economical however will destroy them. The objective of the work here is to design and develop a ballistic drone capturing system comprising two main steps;1. classification of UAVs from the flying birds and 2. Capturing the UAVs without causing significant damage to the drone. Here, the methodology uses computer-generated infrared images of the drone in the pretrained network architecture, which acts as the Convolution Neural Network (CNN) for classifying drones and birds. The performance of AlexNet and ResNet-50 performs better and it shows 100 percent efficiency and small distribution with more stability. In the near future, the ballistic capturing system will be designed and developed as a product, which would support acquiring data about malicious drones. © 2022 IEEE.

关键词： Drones

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Iterative Shaping of Multi-Particle Aggregates Based on Action Trees and VLM

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IEEE robotics and Automation Letters 2025年第7期10卷 7102-7109页

作者： Lee, Hoi-Yin Zhou, Peng Duan, Anqing Yang, Chenguang Navarro-Alarcon, David The Hong Kong Polytechnic University Department of Mechanical Engineering Kowloon Hong Kong The Great Bay University School of Advanced Engineering Dongguan 523000 China Mohamed Bin Zayed University of Artificial Intelligence Department of Robotics Abu Dhabi United Arab Emirates University of Liverpool Department of Computer Science Liverpool L693BX United Kingdom

In this paper, we address the problem of manipulating multi- particle aggregates using a bimanual robotic system. Our approach enables the autonomous transport of dispersed particles through a series of shaping and pushing actions using robotically controlled tools. Achieving this advanced manipulation capability presents two key challenges: high-level task planning and trajectory execution. For task planning, we leverage Vision Language Models (VLMs) to enable primitive actions such as tool affordance grasping and non-prehensile particle pushing. For trajectory execution, we represent the evolving particle aggregate's contour using truncated Fourier series, providing efficient parametrization of its closed shape. We adaptively compute trajectory waypoints based on group cohesion and the geometric centroid of the aggregate, accounting for its spatial distribution and collective motion. Through real-world experiments, we demonstrate the effectiveness of our methodology in actively shaping and manipulating multi- particle aggregates while maintaining high system cohesion. © 2016 IEEE.

关键词： action trees multi-particle manipulation Robot manipulation shape control VLM

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Critical Component Identification in Hovercraft assembly Through FMEA 10

Critical Component Identification in Hovercraft assembly Thr...

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10th International Conference on Emerging Trends in engineering and Technology - Signal and Information Processing, ICETET-SIP-22 2022

作者： Nakandhrakumar, R.S. Ramakrishnan, M. Dinesh Kannan, K. Anand, Gopi Sidharthan, K. Venkatasamy, Ramkumar Centre for Automation and Robotics Hindustan Institute of Technology and Science Department of Mechanical Engineering Chennai603103 India Hindustan Institute of Technology and Science Department of Mechanical Engineering Chennai603103 India

ISBN: (纸本)9781665467414

The goal of this study is to use the proactive procedure to categorize the failure, which likely to occur in hovercraft assembly. First, the hovercraft model is developed for standard sizes to identify the critical component through FMEA concept. This involves predicting critical component through SOD analysis and defining by RPN for all failure modes in the regular monitoring and replacement of parts. The conventional FMEA provides prioritization to the mating components by giving higher values for severity, occurrence and detection indexes. Many a time experts may disagree in the ranking index due to condition status of the component. In this project work, the attempt made to give range of values through which higher values to be given with more focus and lower values can be allowed to run further and further moderate values to be used for regular monitoring. This approach offers an effective way for such complicated assembly with much limited or unreliable data. © 2022 IEEE.

关键词： Information processing Market research Indexes Monitoring Standards

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Robotic arm controlled Acoustofluidic End-Effector for particle manipulation 26

Robotic arm controlled Acoustofluidic End-Effector for parti...

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26th International Conference on Miniaturized Systems for Chemistry and Life Sciences, MicroTAS 2022

作者： Durrer, Jan Agrawal, Prajwal Ahmed, Daniel Acoustic Robotics Systems Laboratory Institute for Mechanical Systems Department of Mechanical and Process Engineering ETH Zurich Rushlikon8803 Switzerland

ISBN: (纸本)9781733419048

With the development of microfluidics, fluid manipulation is becoming an increasingly critical process. In the macroscale environment, numerous robotic systems are commercially available, however development of these systems at the microscale requires expensive equipment's and reagents, as well as sample preparation at the microscale is relatively difficult. This work integrates robotics and microfluidics in order to demonstrate a robot-assisted acoustofluidic microscale manipulation system (RAMS), incorporating an acoustofluidic end effector and a robotic arm. This RAMS device will open the door to new potential applications such as micromixing, pumping, particle manipulation, and transfection, for example. © 2022 MicroTAS 2022 - 26th International Conference on Miniaturized Systems for Chemistry and Life Sciences. All rights reserved.

关键词： End effectors

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Synthesis and Characterization of Silver -doped Hydroxyapatite-Coated Polyether ether ketone for Dental Applications 15

Synthesis and Characterization of Silver -doped Hydroxyapati...

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15th Biomedical engineering International Conference, BMEiCON 2023

作者： Wailerdsak, Tanawat Ngamkham, Kamolchanok Khantachawana, Anak King Mongkut's University of Technology Thonburi Department of Biological Engineering Program Bangkok Thailand King Mongkut's University of Technology Thonburi Department of Mechanical Engineering Bangkok Thailand

ISBN: (纸本)9798350345247

The main objective of this paper is to develop and characterize silver-doped hydroxyapatite (Ag-HA) coating on Polyether ether ketone (PEEK). The physicochemical characteristic of Ag-HA coated on PEEK was evaluated by X-ray diffraction (XRD) analysis, Fourier transform infrared spectroscopy (FTIR), and also determining calcium (Ca) / phosphorus (P) ratio and silver (Ag) / calcium (Ca) ratio by inductive coupled plasma atomic emission spectroscopy (ICP-AES). The surface morphology of Ag-HA coated on PEEK was analyzed by scanning electron microscopy (SEM). XRD, FTIR, and ICP-AES analysis of the coated layer confirms Ag-HA deposition on PEEK, the Ag successfully substitutes Ca in the hydroxyapatite (HA) lattice. The Ag substitution is not 100 % as compared with the initial added Ag. Surface morphology analysis of Ag-HA-coated PEEK reveals the flake structure of Ag-HA formation on PEEK. © 2023 IEEE.

关键词： Hydroxyapatite

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Real-Time Object Detection Performance of YOLOv8 Models for Self-Driving Cars in a Mixed Traffic Environment 2

Real-Time Object Detection Performance of YOLOv8 Models for ...

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2nd International Conference on Computer System, Information Technology, and Electrical engineering, COSITE 2023

作者： Afdhal, Afdhal Saddami, Khairun Sugiarto, Sugiarto Fuadi, Zahrul Nasaruddin, Nasaruddin Doctoral Program School of Engineering Universitas Syiah Kuala Indonesia Department of Electrical and Computer Engineering Universitas Syiah Kuala Indonesia Department of Civil Engineering Universitas Syiah Kuala Indonesia Department of Mechanical dan Industrial Engineering Universitas Syiah Kuala Indonesia Indonesia

ISBN: (纸本)9798350343069

Self-driving cars have gained significant attention in recent years. Real-time object detection is a critical component of their perception system. One of the main challenges in developing safe and efficient self-driving cars lies in accurately and in real-time detecting objects in diverse and complex traffic environments. This paper presents the performance evaluation of real-time object detection of YOLOv8 models, a state-of-the-art deep learning framework for self-driving cars in mixed traffic environments. The objective is to assess the extent of YOLOv8's object detection capabilities can be used for self-driving car within complex realworld traffic scenarios. The experimental results show that the accuracy of YOLOv8 during normal daylight scenarios ranges from 0.60 ~ 0.80. In contrast, the accuracy values obtained in night scenarios fall between 0.15 ~ 0.25. Similarly, the FMeasure of YOLOv8 models under daylight conditions ranges from 0.75 ~ 0.87. Conversely, the F-Measure in night conditions falls between 0.27 ~ 0.46. Based on our thorough evaluation results, YOLOv8 has demonstrated its robustness in detecting objects. However, the algorithm requires improvement to effectively handle the challenges of self-driving cars' object detection systems in mixed traffic, such as diverse object classifications, small-scale objects, fast-moving objects, blur, glare, and low-light illumination, particularly in nighttime scenarios. © 2023 IEEE.

关键词： Object detection

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Novel cubic heterojunction Fe2O3/ZnO composite for the photocatalyst application

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Materials Today: Proceedings 2023年 75卷 1-8页

作者： Hemnil, P. Prapawasit, Y. Karthikeyan, V. Wongwuttanasatian, T. Seithtanabutara, V. Energy Engineering Program Faculty of Engineering Khon Kaen University 40002 Thailand Mechanical Engineering Division Khon Kaen University Khon Kaen 40002 Thailand Center for Alternative Energy Research and Development Khon Kaen University Thailand Department of Chemical Division Khon Kaen University Khon Kaen 40002 Thailand

Dye Sensitize Solar Cell (DSSC) gained attention as a replacement for silicon solar cells owing to operational and economic benefits. This study aims to synthesize the Fe2O3/ZnO composites using two different methods;Hydrothermal-calcination (HTC) and Hydrothermal (HT) method. The prepared samples structural properties were analysed using XRD, SEM/EDX, BET, FTIR, and TGA. It was found that the HT-Fe2O3/ZnO composite had a lower crystalline peak with a higher specific area of 34.855 m2/g than HTC-Fe2O3/ZnO composite as the formation of ZnO and Fe2O3 was well hybrid structure via atomic substitution mechanism. The particle characterization of HTC-Fe2O3/ZnO showed that Fe2O3 surrounding ZnO and had the composition of Fe, Zn and O of 16.71 wt%, 62.90 wt% and 20.39 wt%, respectively. HT-Fe2O3/ZnO showed a cubic structure with higher content ot Fe (47.63 wt%), lower content of Zn (34.89 wt%) and O (17.48 wt%). Both composites prepared from HT and HTC methods attained high absorbency in the ultra-violet and visible range, advantageously HT-Fe2O3/ZnO exhibits better absorbance in the visible light range, thus, resulting in a band gap energy is lower to 2.98 eV. Therefore, HT-Fe2O3/ZnO material is recommended for DSSC to achieve higher performance. © 2022 Elsevier Ltd

关键词： Zinc oxide

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