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检索条件"机构=Mechatronics Engineering Technology"

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Design and Fabrication of Automatic Screw Gage Calibrator and Component Tester Using IoT 2nd

Design and Fabrication of Automatic Screw Gage Calibrator an...

引用

Proceedings of the 2nd International Conference on Future Technologies on Manufacturing, Automation, Design and Energy 2021

作者： Arunkumar, V. Sathiyavathi, S. Tonythomas, A. Parameswaran, A.P. Megavarthini, M. Kishor Kumar, B. Gokul Raj, R. Chennai Campus Tamil Nadu Chennai India Department of Mechatronics Engineering Kongu Engineering College Perundurai Erode India Department of Mechatronics Engineering KCG College of Technology Tamil Nadu Chennai India

ISBN: (纸本)9789819912872

In metrology laboratories, the vogue practice of calibration is done with the help of instruments like master calibrators, and the cost for calibration of such devices is high. Hence, calibration of such tools is also time-consuming. This proposed project is named an automatic screw gage calibrator. By implementing this project, time is substantially reduced as encoders are used and mini slip gages for calibration. The project is developed as a prototype that can only calibrate the screw gage at the initial stage. After upgrading, it can calibrate instruments like Vernier caliper and dial gage. This instrument is not only used for calibration but also for measuring components. Hence, it acts as a multipurpose machine. In industries, small tiny components are manufactured, and our instrument can also measure the parameters of these components. The added advantage of our project is that the manufacturer doesn’t want to consult the calibrating industries as our calibrator tests on its own. Thus, qualifying and testing departments are integrated with the sector as our project does both the action and, hence, is automated. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Calibration

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Image Retargeting Method Based on Grid Deformation and Content-Awareness 4

Image Retargeting Method Based on Grid Deformation and Conte...

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4th International Symposium on Artificial Intelligence and Intelligent Manufacturing, AIIM 2024

作者： Tang, Qiankun Tang, Zhijie Meng, Ke Li, Yang Zhou, Qingliang School of Mechatronics Engineering and Automation Shanghai University Shanghai China Shanghai Oceanring Technology Inc. Shanghai China

ISBN: (纸本)9798331541729

This paper proposes an image retargeting method based on grid deformation and content awareness. The method adjusts the image to different sizes while preserving its prominent and structural features. It starts with a grid partitioning technique, where the image deformation is controlled by the coordinates of the grid vertices. This transforms the image retargeting problem into an optimization problem of the grid vertex coordinates. Simultaneously, saliency detection is performed, aiming to minimize the deformation of visually prominent objects while allowing more deformation of less noticeable elements, thus preserving the original structure. To protect linear features in the image, line segments need to be detected and these features incorporated into the energy equation to optimize the grid vertex coordinates. Experimental results demonstrate that the method provides visually pleasing retargeted images while retaining the original structural features. © 2024 IEEE.

关键词： Computer vision

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Numerical Analysis of Rotating Zigzag Bed Separator in Cryogenic Condition for Removing Carbon Dioxide 4th

Numerical Analysis of Rotating Zigzag Bed Separator in Cryog...

引用

4th International conference on Innovative Manufacturing, mechatronics and Materials Forum, iM3F2023

作者： Jeevaraj, Deevikthiran Ahmad, Mohd Fadzil Ali Imran, Asyiqin Faculty of Manufacturing and Mechatronics Engineering Technology Universiti Malaysia Pahang Al-Sultan Abdullah Pahang Pekan26600 Malaysia

ISBN: (纸本)9789819988181

Carbon dioxide (CO2) is a greenhouse gas that occurs naturally, but since the industrial revolution, the quantity of CO2 in the atmosphere has increased by roughly 50%. This increase in CO2 changes the earth’s climate. Carbon capture and storage is a significant countermeasure to climate change. Membrane filtering techniques, absorption, adsorption, and cryogenic separation techniques are often used to handle carbon dioxide separation from natural gas. Distillation columns are sophisticated pieces of equipment used to separate mixtures of liquids and gases. A major difficulty with distillation columns is the collection of pollutants on the column’s surfaces, which can diminish the separation process’s efficiency. The objective of this study is to investigate the rotating separator in cryogenic conditions by using computational methods. The design of RZB was simulated in transient-state, multiphase Eulerian model with the renormalization group (RNG) k − Ε model equations with standard wall function. The simulation shows how both phases of cryogenic temperatures had an impact. The separation effectiveness was strongly impacted by the cryogenic temperature. Results of methane and carbon dioxide show 97% separations in liquid outlets and gas outlets. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Carbon dioxide

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Multi-Modal Deep Learning Framework for Disaster Response

Multi-Modal Deep Learning Framework for Disaster Response

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2024 IEEE International Conference on Computing, Applications and Systems, COMPAS 2024

作者： Hussain, Ifthekhar Barua, Protik Al Fahim, Arafath Reza, Sahariar Chittagong University of Engineering and Technology Mechatronics and Industrial Engineering Chattogram4349 Bangladesh Internatinal Islamic University Chittagong Kumira Computer Science and Engineering Chattogram4318 Bangladesh

ISBN: (纸本)9798331529765

Twitter is a website for social networking and news delivery that has significant importance at the time of any disaster by providing valuable information related to the disaster. The analysis of social media has become crucial in monitoring and gathering important information during disasters, including reports on the impact of the event, as well as updates on injuries and damage to infrastructure. This information is valuable for disaster management teams in their response efforts. During a disaster, an automated system that can retrieve relative information and massive Twitter data could help disaster relief volunteers complete their duties efficiently amidst the chaos. The majority of researchers use a unimodal (only images or text) approach. The use of a single modality (text or images) frequently results in the loss of important insights. Though some of the researchers used a multimodal approach to classify the disaster types, most of the works were based on the pre-trained CNN model for example VGG16, and InceptionV3 for image classification which can lead to vanishing gradient problem, and the CNN or RNN-based model for textual analysis, which does not work for longer input sequences and is not focused on a critical part of the text, then combining these two models to classify the six different damage types. In our proposed model, we have used a multi-head attention-based pre-trained BERT model for text feature extraction which works on long input sequences and also gives attention to the specific portion of the text, and the ResNet50 model for image features extraction which addresses the vanishing gradient problem. Then we used an early fusion approach to concatenate these two networks followed by the soft-max classifier. We are able to achieve 93.16% weighted F1 score in classifying different damage types. © 2024 IEEE.

关键词： Tweets

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Platform for Virtual Laboratory of Mechatronic Systems in Augmented Reality 6

Platform for Virtual Laboratory of Mechatronic Systems in Au...

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6th Experiment at International Conference, exp.at 2023

作者： Matisak, Jakub Pohancenik, Matus Zakova, Kataria Institute of Automotive Mechatronics Slovak University of Technology in Bratislava Faculty of Electrical Engineering and Information Technology Bratislava Slovakia

ISBN: (纸本)9798350314403

This paper presents the use of Augmented Reality (AR) application for smartphones as a tool for enhancing control education. AR technology provides an interactive and immersive learning experience, enabling learners to visualize and manipulate virtual objects in real-world settings. Paper discusses the development and implementation of AR application for control education, including its design, and features. Application is based on AR Foundation technology. © 2023 IEEE.

关键词： Augmented reality

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Evaluating the Efficiency of Dual-Zone Registration System with Timer Mechanism in Wireless Networks 3

Evaluating the Efficiency of Dual-Zone Registration System w...

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3rd International Conference on Integrated Circuits and Communication Systems, ICICACS 2025

作者： Raman, Ramakrishnan Vinoth, T. Barve, Amit Tiwari, Vinita Pune India Chennai Institute of Technology Department of Mechatronics Engineering Kundrathur Chennai India Paruluniversity Faculty of Engineering and Technology Department of Computer Science and Engineering Vadodara India Pune India

ISBN: (纸本)9798331508456

The increasing demand for efficient communication in wireless networks necessitates optimized registration systems that ensure smooth connectivity and scalability. This paper introduces a novel Dual-Zone Registration System with a Dynamic Timer Mechanism designed to enhance registration efficiency in wireless networks. The system classifies devices into two zones: a primary zone for immediate registration and a secondary zone for devices requiring delayed registration. Leveraging a dynamic timer mechanism, the system regulates registration attempts to reduce congestion and optimize resource allocation. Simulations reveal that the proposed system significantly improves key performance metrics, including registration success rate, average registration time, packet loss, and network load. The dual-zone system achieved a 95% registration success rate, reducing packet loss to 3% compared to 12% in centralized systems and 8% in simple timer-based systems. Average registration time decreased to 6.3 seconds, outperforming centralized (12.5 seconds) and simple timer-based systems (9.8 seconds). Additionally, the system maintained a lower network load of 45 requests per second, showcasing its scalability and efficiency. By dynamically adjusting registration delays based on real-time network conditions, the proposed system ensures efficient resource utilization and balanced load distribution, making it a promising solution for large-scale wireless networks. These findings validate the effectiveness of the dual-zone approach in improving the scalability, reliability, and overall performance of modern wireless networks. © 2025 IEEE.

关键词： Resource allocation

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Enhancing the Mechanical and Thermal Properties of Kevlar Composites for Advanced Vehicle Components using Montmorillonite Nano Clay Integration

Enhancing the Mechanical and Thermal Properties of Kevlar Co...

引用

2023 International Conference on Trends in Automotive Parts Systems and Applications, TAPSA 2023

作者： Natrayan, L. Seeniappan, Kaliappan Sree, G. Vanya Saveetha School of Engineering SIMATS Department of Mechan India KCG College of Technology Department of Mechatronics Engine India CVR College of Engineering Mechanical Engineering Department India

The automobile industry is searching for materials that offer superior mechanical and thermal properties. With this objective, the current study delves into the potential advantages of integrating nanofillers into hybrid composite structures tailored for vehicle applications. The investigation employed Kevlar fiber, a renowned material in vehicular composites, and reinforced it with an epoxy matrix, crafting a nanocomposite surface. This method was paralleled by incorporating nanoparticle-infused resin into the Kevlar fiber. The concentration of nano clay within the epoxy resin was adjusted across different weight percentages: 2.5%, 5%, 7.5%, and 10%. Both composite and nanomaterial panels were meticulously crafted using the hand layup method post-curing. The outcome was enlightening: the tensile strength of the clay/epoxy/Kevlar composite surged by 10.54% at the 7.5 wt% clay concentration. This enhancement, however, saw a decline in higher clay incorporations. The study also unveiled that the elastic modulus of these hybrid composites resonated better performance at reduced clay levels, peaking impressively at 381.47 MPa and 9.14 GPa for the 7.5 wt% variant. The same clay concentration bore witness to a zenith in flexural strength and modulus, registering 421.58 MPa and 15.01 GPa remarkable 13.15% upsurge when juxtaposed against the baseline Kevlar mix. Notably, the Interlaminar shear strength for this composition reached 96.21 MPa, overshooting the baseline Kevlar by 23%. However, shifting to a 10% clay mix reduced the interlaminar shear strength to 61.94 MPa, marking a 9% decrease from the baseline. Thermally, the composite showcased optimal stability at the lower clay concentrations from 0°C to 180°C. SEM imaging further buttressed these findings, highlighting that a 7.5% clay-enriched hybrid composite possessed distinct and advantageous surface features, making it a promising candidate for next-generation vehicle applications. © 2024 SAE International.

关键词： Tensile strength

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Soft Prosthetic Controlled Using EEG

Soft Prosthetic Controlled Using EEG

引用

International Conference on Robotics, Control, Automation and Artificial Intelligence, RCAAI 2023

作者： Nishant Sree Reddy, B. Hasharaf, Farzeen Bhat, Subraya Krishna D’Souza, Jeane Marina IAR Department of Mechatronics Engineering Manipal Institute of Technology Manipal Academy of Higher Education Karnataka Manipal576104 India Department of Mechatronics Manipal Academy of Higher Education Dubai United Arab Emirates Department of Mechanical and Industrial Engineering Manipal Institute of Technology Ma- Nipal Academy of Higher Education Karnataka Manipal576104 India Department of Mechatronics Engineering Manipal Institute of Technology ManipalAcademy of Higher Education Karnataka Manipal576104 India

ISBN: (纸本)9789819746491

The impact of losing a limb can be devastating to one's life. Prosthetic technologies have been upgraded from wood to different materials, non-movement to having movement more than a human arm, and from traditional prosthetic limbs made of simple wooden structure are often bulky to a highly developed structure that is starting to behave and work as a normal human part. Nowadays, with the development of materials and designs, prosthetics are made more functional, life-like, and comfortable for humans. There are many ways to help an amputee to control a prosthetic. Recently, there has been a growing interest in developing soft robot prosthetics that are more natural and intuitive to control, and using brain signals is one of the ways in which the amputee feels his prosthetic as his own and has little to no difference from the real one. The amputee can also control it instantaneously like a real limb. This study introduces a new type of prosthetic hand made of soft material (liquid silicon rubber). The design biomimics a human hand so that the prosthetic can closely resemble human flexibility and compliance. The prosthetic hand is controlled using EEG signals which are collected through a non-invasive EEG headset from the amputee’s brain. The EEG signals are decoded by a processor to find the amputee’s intentions and control the prosthetic as the amputee intended. This prosthetic improves the quality of the amputee’s life. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Artificial limbs

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Greenhouse Tomato Detection Based on CU-SSD 6

Greenhouse Tomato Detection Based on CU-SSD

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6th International Conference on Communications, Information System and Computer engineering, CISCE 2024

作者： Li, Bo Zhu, Huaiyu College of Mechatronics Engineering Zhongshan Institute University of Electronic Science and Technology of China Zhongshan China College of Mechanical and Electrical Engineering University of Electronic Science and Technology of China Chengdu China

ISBN: (纸本)9798350353174

To improve the detection accuracy of the SSD model for small tomatoes, we proposed a new model called Continuous Up-sampling SSD (CU-SSD). This model incorporates a Conv3_3 feature layer to enhance the resolution of the features. Additionally, we have introduced a feature pyramid fusion method to improve the ability to extract features. Furthermore, we replaced the commonly used rectangular priori boxes with circular bounding boxes to improve prediction box regression. The comparison experiment demonstrates that our Circle CU-SSD model exhibits superior detection capability, achieving the greatest mean average precision (mAP) of 98.88%. The CU-SSD model enhances the mAP of the SSD and FSSD models by 22.1% and 33.1%, respectively. Furthermore, it exhibits a significant advantage over alternative models, with a 33.3% and 6.2% increase in mAP when compared to YOLOv3 and YOLOv4, respectively. Due to its smaller model size compared to YOLOv3 and YOLOv4, it achieves this improvement in mAP while maintaining a greater detection speed. Replacing rectangular boxes with circular priori-bounding boxes results in a 2.4% improvement in mAP. © 2024 IEEE.

关键词： Fruits

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Comparative Analysis of Fractal and ArUco marker for Navigation and Landing of Drones 15

Comparative Analysis of Fractal and ArUco marker for Navigat...

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15th International Conference on Computing Communication and Networking Technologies, ICCCNT 2024

作者： Verma, Shubham Sharma, Anuj Kumar Sandhan, Tushar Centre for Advanced Studies AKTU Department of Mechatronics Lucknow India Institute of Technology Department of Electrical Engineering Kanpur India

ISBN: (纸本)9798350370249

The detection and pose estimation of markers are increasingly crucial across various domains, including human-robot interaction, UAV navigation, robotic grasping, and underwater navigation and many more. This paper evaluates the robustness of two prominent fiducial markers ArUco and Fractal marker, under diverse environmental conditions. These conditions include static and dynamic platforms, varying light intensity, occlusion, reflection, distortion, and detection through glass medium and many other situations considering the area of both markers identical. Detection rates for all conditions were calculated for each marker by analyzing the proportion of detected frames out of approximately 1800 total frames per condition. The study reveals that Fractal markers outperform ArUco markers. They demonstrate faster detection, greater resilience to occlusion, better resolution handling, and consistent performance across multiple scenarios. These findings suggest that Fractal marker could significantly enhance the reliability and efficiency of marker based detection systems in complex real-world applications. The dataset will be made accessible to the general public, facilitating additional investigation and verification of the conclusions reported in this work. © 2024 IEEE.

关键词： Fractals

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