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检索条件"任意字段=International Conference on Advances in Science, Engineering and Robotics Technology"

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Multi-Pedestrian Detection using Hybrid ML Algorithms for Autonomous Vehicles

Multi-Pedestrian Detection using Hybrid ML Algorithms for Au...

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2023 international conference on Recent advances in science and engineering technology, ICRASET 2023

作者： Mukherjee, Satyaki Sharma, Tanya Singh, Anshika Gayathri, S.S. Dhanalakshmi, Samiappan College of Engineering and Technology Department of Electronics and Communication Engineering Kattankulathur India

ISBN: (纸本)9798350306927

Forecasting vulnerable road user behavior is a prerequisite for the real-world implementation of Autonomous Driving Systems (ADS). The purpose of a pedestrian crossing should be detected instantaneously, particularly while driving in towns. This paper aims to detect multiple pedestrians and other automobiles while driving specifically on Indian Roads in real-time. Recent research suggests that vision-based models utilizing deep neural networks are useful for this purpose. For this paper we aim to develop an end-to-end pedestrian intention detection architecture that works well both during the day and at night. The main approach for the project is based on bounding boxes for object identification. using various deep learning techniques like YOLOv3, Darknet-53 and YOLOv7. © 2023 IEEE.

关键词： Autonomous vehicles

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Target Detection and Tracking of Survey Robots Using Multimodal Internet of Things Sensor data Fusion Using YOLOv5 2

Target Detection and Tracking of Survey Robots Using Multimo...

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2nd international conference on Distributed Computing and Optimization Techniques, ICDCOT 2024

作者： Ye, Chengjing Wu, Miaoyong Yang, Yefen Zhang, Ke Bu, Xinhua Huang, Miaomiao Guangdong Polytechnic of Science and Technology Faculty of Robotics Guangdong Zhuhai China Guangdong Polytechnic of Science and Technology Computer Engineering Technical College Guangdong Zhuhai China Faculty of Architectural Engineering Guangdong Polytechnic of Science and Technology Guangdong Zhuhai China

ISBN: (纸本)9798350382952

In recent years, due to the rapid development of computer vision technology, real-time detection and tracking of objects using computer vision has become a hot topic. Object detection mainly consists of two parts: object segmentation and object recognition, that is, object acquisition. Accurate detection of targets is the key to achieving high-precision and high-efficiency tracking. Based on the above discussion, this article explored the target detection and tracking of survey robots using the multimodal Internet of Things (IoT) sensor data fusion of YOLOv5, and compared and analyzed the performance of direct frame difference method, traditional ORB method, and the algorithm in this paper through experiments. The results indicated that the accuracy and recall of the robot image object detection algorithm proposed in this paper were both above 90%, and higher than other algorithms, indicating that the algorithm has extremely high accuracy in object detection. © 2024 IEEE.

关键词： Internet of things

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Investigating the Potential of Self-Supervised Learning in Adversarial Machine Learning

Investigating the Potential of Self-Supervised Learning in A...

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2024 international conference on advances in Computing Research on science engineering and technology, ACROSET 2024

作者： Thanigaivelu, P.S. Dash, Priyanka Sravan Kumar, G. Viveka, S. Nidadavolu, Vijayasri Gautham, V. Srmist - Ktr Campus Department of Computing Technologies Kattankulathur India Swami Vivekanand Institute of Technology Department of It Hyderabad India Cvr College of Engineering Department of Cse Hyderabad India Srm Institute of Science and Technology Department of Computer Technology Chennai India Mlr Institute of Technology Department of Csit Hyderabad India Rajalakshmi Engineering College Department of Ece Chennai India

ISBN: (纸本)9798350388800

Machine learning has enabled innovative usage in numerous fields. These systems are vulnerable to hostile assaults. Small intentional alterations to misclassify data constitute a maj or security risk. We examine three solutions: 'Self-Supervised Adversarial Defence', 'Adversarial Mixup' and 'Secure and Self-Supervised Learning.' These strategies safeguard and protect machine learning models from other computers. We start our study with the theory underlying these approaches and how they are employed in machine learning. A detailed experimental evaluation utilizing a real-world dataset with difficult adversarial situations is shown. These approaches are tested using accuracy, precision, memory, F1 score, and ROC AUC. Results are certain. All indicators suggest that new methods outperform old ones. 'Self-Supervised Adversarial defence' is the most exact and precise, but 'Adversarial Mixup' and 'Secure and Self-Supervised Learning' are also useful, especially for memory. The ROC AUC values also demonstrate that the recommended approaches can distinguish positive and negative classes, which is crucial in binary classification problems. Finally, our work indicates that these strategies can make machine learning models safer and more resilient in harmful conditions. This study reveals how adversarial perturbations and self-supervised learning might solve the crucial challenge of adversarial assaults. These strategies can make machine learning systems safer, which might impact hacking, healthcare, and self-driving systems. © 2024 IEEE.

关键词： Adversarial machine learning

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Optimization Design of Harmonic Drive Flexspline Fixture Based on Orthogonal Experiments 10

Optimization Design of Harmonic Drive Flexspline Fixture Bas...

引用

10th international conference on advances in Machinery, Material science and engineering Application, MMSE 2024

作者： Hu, Qiushi Li, HaoQiang Liu, Fujiang Wang, Guowei Mechanical Engineering Jiangsu University of Science and Technology Jiangsu Province Zhenjiang212000 China

ISBN: (纸本)9781643685465

As a thin-walled, highly deformable precision component, the flexspline is subjected to complex stresses during operation. The fixture is crucial for the manufacturing of the flexspline, requiring a rational structure to ensure manufacturing precision. In this study, a finite element model of a flexspline fixture was established to analyze the contact pressure and strain between the flexspline, expansion sleeve, and core shaft. By utilizing orthogonal experiments and simulations, the maximum contact pressure between the flexspline and the expansion sleeve Pfmax, the maximum contact pressure between the expansion sleeve and the core shaft Pemax, and the maximum strain ϵfmax of the flexspline were obtained under varying pulling force F, taper angle α, and the number of clamps S. Range analysis was conducted to investigate the impact of F, α, and S on Pfmax, Pemax, and ϵfmax. These findings provide valuable references for designing and optimizing harmonic drive flexspline fixtures. © 2024 The Authors.

关键词： Thin walled structures

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An Appraisal of Web-based Learning 15

An Appraisal of Web-based Learning

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15th international conference on advances in Computing, Control, and Telecommunication Technologies, ACT 2024

作者： Wadhwa, Manoj Shrivastava, Utpal Kumar, Suresh Department of Computer Science and Information Technology Koneru Lakshmaiah Education Foundation Guntur Andhra Pradesh Vaddeswaram522302 India Chitkara University School of Engineering and Technology Chitkara University Himachal Pradesh Solan174 103 India School of CSE & CA Geeta University Haryana Panipat132145 India

ISBN: (纸本)9798331300579

In this new era, education is being transformed with fully adoption of Information technology which is a measure of advancement. This has led to several ways in which learning can be effective and accessible. Web-based learning is one such learning process that provides accessible learning platform activities to learners through the World Wide Web and Internet availability. It is found that, Web-based learning is facing some challenges and security issues for implementation in learning environments. Hence, this study elaborates on web-based learning, its environmental scope while looking at its prospect, challenges, and security issues. The study also reveals various security solutions to existing problems in web-based learning. © Grenze Scientific Society, 2024.

关键词： Contrastive Learning

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MR Meets robotics: A Review of Mixed Reality technology in robotics 6

MR Meets Robotics: A Review of Mixed Reality Technology in R...

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6th international conference on robotics, Control and Automation (ICRCA)

作者： Yu, Jiawei Wang, Tengyue Shi, Yunze Yang, Liangjing Zhejiang Univ Zhejiang Univ Univ Illinois Urbana Champaign Inst Haining Peoples R China

ISBN: (纸本)9781665481748

The rising interest in Mixed Reality (MR) technology in robotics and the lack of prior work in the literature of this subject motivate this review paper. Our purpose is to discuss current research and the advancement of MR applications in the context of robotics. Development in modern robots towards a more human-centric role is driven largely by enabling technology including, but not limited to, machine vision, cobots, virtual reality, and more recently, MR technology. The scope encompasses MR technology in various aspects of robotics, namely, robot vision, control and planning, human-robot interaction, multi-user collaborations, and swarm robotics. Through discussions of the benefits and knowledge gaps in contemporary development, the review is expected to provide readers with an in-depth appreciation of the state-of-the-art technology and the possibility of MR technology in robotics.

关键词： mixed reality robotics visualization teleoperation and control

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Virtual Reality Lab using Unity3D for Educational Applications using ESP8266 for Digital Electronics 15

Virtual Reality Lab using Unity3D for Educational Applicatio...

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15th international conference on advances in Computing, Control, and Telecommunication Technologies, ACT 2024

作者： Ramya, M.V. Tippannavar, Sanjay S. Department of Robotics and Automation JSS Academy of Technical Education Bengaluru India Department of Electronics and Communication Engineering JSS Science and Technological University Mysuru India

ISBN: (纸本)9798331300579

The use of VR in technical education has several advantages. In a wide domain of digital electronics, the study outlines efforts done to use VR to engineering education. To conduct experiments in a digital lab, the section offers guided domain exploration. *** files are used to store the created virtual laboratory. E-Labs' project: Virtual reality (VR) technology is used to create the remote laboratory known as digital electronics. The E-labs are primarily designed for fundamental and general gates experiments in digital electronics. This E-labs has the extra benefit of having both hardware and software (Blended mode). The software component is carried out with the aid of the programme unity, which is typically used to create simulations and video games for computers, consoles, and mobile devices. A virtual 3D environment was created for this project using Unity. Additionally, Blender software and Tinkercad from Autodesk are used to create the models needed to construct a virtual 3D world. The hardware portion includes a number of parts, including an Arduino Uno, a Wi-Fi module (NodeMCU ESP8266), an LCD, ICs, LEDs, and a breadboard. The Wi-Fi model and LCD are both linked to the Arduino. To show the results of the research, we utilise LEDs. A Wi-Fi module is attached to the experiment section, which also contains ICs and LEDs. To see the virtual world, the user needs put on a VR *** may choose the needed experiment that they would want to carry out, and any modifications made to the virtual environment will also be mirrored in the physical *** there is a pandemic and students are unable to undertake physical experiments at their schools or institutions, the E-labs are quite ***, these E-Labs will pique students' interests and foster their desire to study new things while enabling them to comprehend subjects at their own speed. © Grenze Scientific Society, 2024.

关键词： Students

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Scalable Performance Testing for Distributed Big Data Frameworks 1

Scalable Performance Testing for Distributed Big Data Framew...

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1st international conference on advances in Computer science, Electrical, Electronics, and Communication Technologies, CE2CT 2025

作者： Ramdass, Karthikeyan Mulka, Arun Agarwal, Nitin Avvaru, Sugeetha Gupta, Gopal Kumar Chauhan, Sansar Singh Anna University Chennai India Kakatiya University Telangana Warangal India Galgotia's College of Engineering and Technology Uttar Pradesh Technical University Uttar Pradesh India Nagpur Campus Pune440008 India G.L. Bajaj Institute of Technology and Management Department of Computer Science and Engineering Greater Noida201306 India

ISBN: (纸本)9798331518578

The development of distributed Big Data frameworks relies heavily on performance testing because this part is what decides the robustness and scalability of systems. There is no scale performance testing methods that could support the enormous volume of data in the new era of Big Data frameworks. Thus, a scalable performance testing approach can monitor the system's performance and expose potential bottlenecks. The suggested solution is a Scalable Performance Testing framework to test big-scale available systems. The framework is built on a distributed architecture that models real-world scenarios and creates a high-volume workload for testing. Think of it as a driver-assist that uses one of the most advanced data generation techniques to generate data sets that look like real-world data sets, making it easier to measure performance. SPT is flexible, extensible, and will be out-of-the-box compatible with most of the Big Data frameworks and deployment scenarios. Such scalability guarantees that the framework is adapted for the volatility of Big Data environments. Also, it remains a reliable tool for performance measurements in the long run when the system scales. © 2025 IEEE.

关键词： Development Framework Generation Performance Techniques

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Heterogeneous Robot Swarms with an Attention Mechanism for Dynamic Target Tracking

Heterogeneous Robot Swarms with an Attention Mechanism for D...

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2024 IEEE international conference on Systems, Man, and Cybernetics, SMC 2024

作者： Zhou, Ziqing Chen, Bo Ouyang, Chun Dong, Xinyang Liu, Siao Hu, Linqiang Xie, Yi Zhao, Zhile Gan, Zhongxue Academy for Engineering and Technology Fudan University Shanghai China

ISBN: (纸本)9781665410205

Multirobot collaboration offers significant potential for diverse applications, including tracking and surveillance. In this paper, we introduce an attention mechanism tailored for heterogeneous robot swarms characterized by varied sensing ranges. This mechanism effectively utilizes the swarm's intrinsic characteristics, enabling rapid information transmission and ensuring consistent collective responses to external stimuli. Additionally, we introduce a pigeon-inspired navigation strategy that effectively replaces the traditional obstacle repulsion term by preventing the swarm from becoming trapped in local min-ima and reducing oscillatory behaviors. To validate the efficacy of our algorithm, we have developed an autonomously designed PlusBot swarm platform, which consists of agile vibration-driven miniature robots. Each of them is equipped with its own computing and communication system and is capable of precise closed-loop motion control. This setup meets the requirements for conducting heterogeneous swarm movement experiments in indoor environments. Through comprehensive numerical simulations and real-world experiments, our method has demonstrated exceptional precision and adaptability in tracking dynamic targets. The comparative analysis under-scores the superiority of our approach, particularly in minimizing swarm collisions and ensuring safe navigation in dynamic target-tracking scenarios involving obstacles. © 2024 IEEE.

关键词： Microrobots

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Adaptive Multimodal Disturbance Rejections of Youla Parametrized Parallel Control with Frequency Identification for Beam Jitter Attenuation 6

Adaptive Multimodal Disturbance Rejections of Youla Parametr...

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6th international conference on Control and robotics, ICCR 2024

作者： Wu, Hongmei Feng, Nian Wen, Li Yu, Zhiyong Tang, Tao Institute of Optics and Electronics National Key Laboratory of Optical Field Manipulation Science and Technology Chinese Academy of Sciences Key Laboratory of Optical Engineering Chengdu China University of Chinese Academy of Sciences Beijing China

ISBN: (纸本)9798331518158

To enhance image stabilization performance, this paper presents a novel indirect adaptive method for suppressing complex time-varying perturbations in tip-tilt correction systems. This approach simplifies the traditional complex adaptive law design, reduces the number of controller parameters, and parallelizes the adaptive identification process with controller parameter adjustments, thereby minimizing time consumption. The method utilizes a cascaded filter identification algorithm to identify multiple peak perturbations and dynamically updates the parameters of a parallel controller within an error-based Youla parameterization structure, enabling adaptive suppression of complex time-varying perturbations. The proposed method has undergone closed-loop validation in a tip-tilt correction device, and experimental results demonstrate its ability to rapidly identify and adaptively suppress complex time-varying spike perturbations, thereby improving the overall system's closed-loop performance. © 2024 IEEE.

关键词： Disturbance rejection

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