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检索条件"任意字段=3rd International Conference on Robotics, Control and Automation Engineering, RCAE 2020"

共 544 条记录，以下是21-30 订阅

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Robust Phishing URL Classification Using FastText Character Embeddings and Hybrid Deep Learning 3

Robust Phishing URL Classification Using FastText Character ...

引用

3rd IEEE international conference on robotics, automation, Artificial-Intelligence and Internet-of-Things, RAAICON 2024

作者： Al-Sakib, Abdullah Limon, Zishad Hossain Sakib, Anamul Pranto, Md Nuruzzaman Islam, Md Ariful Sultana, Shayma Ahmed, Md. Redwan Rahman, Shafiur Westcliff University Dept. of Information Technology CA92614 United States Westcliff University Dept. of Computer Science CA92614 United States International American University Dept. of Business Administration CA90010 United States International American University Dept. of Management Information System CA90010 United States East West University Dept. of Computer Science and Engineering Dhaka1212 Bangladesh Daffodil International University Dept. of Software Engineering Dhaka1216 Bangladesh

ISBN: (纸本)9798331534400

Phishing attacks are a major cybersecurity threat that resulted in over 1.2 million incidents in the first half of 2020. These attacks caused substantial financial losses and posed risks to individuals and organizations. Being able to identify fraudulent websites is crucial in order to effectively address these potential risks. This study introduces a novel method for detecting phishing URLs by using word and character embeddings to capture complex URL patterns. We used a dataset of 80,000 URLs, including 50,000 legitimate ones and 30,000 phishing instances, and applied thorough preprocessing techniques. We utilized word embeddings in FastText to handle unseen words, with the added advantage of n-gram representations. Additionally, we captured character-level features through dense character embeddings. We trained several machine learning and deep learning models, and one model, the Convolutional Bidirectional LSTM (CBiLSTM), stood out with an accuracy of 99.01% and an F1-score of 99.08%. Furthermore, we made a thorough comparison with the most advanced techniques available, and our findings demonstrated clear superiority over previous research. This study presents an effective approach for classifying phishing URLs, providing a valuable tool to combat fraud and protect against identity theft, thereby helping to minimize the financial and emotional harm experienced by victims. © 2024 IEEE.

关键词： Phishing

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Distributed Robust Particle Filter Based on Wasserstein Metric 3

Distributed Robust Particle Filter Based on Wasserstein Metr...

引用

3rd international conference on Computer, control and robotics, ICCCR 2023

作者： Wang, Hao Yang, Aolei Sun, Qing School of Mechatronic Engineering and Automation Shanghai University Shanghai China

ISBN: (纸本)9781665492126

In this paper, for nonlinear systems with uncertain interference factors, particle filter can no longer accurately estimate the state when both process noise and measurement noise are unknown, so a distributed robust particle filter method based on Wasserstein metric is proposed. The method mainly uses Wasserstein metric to construct the fuzzy set of real data distribution, replaces the original empirical distribution with the prior estimation distribution of particle filter, and takes it as the center point of the new fuzzy set;Secondly, on the premise of tolerable conservatism, the optimal state estimator in this state is constructed according to the criterion of minimum root mean square error in the worst case;Then, the updating and resampling of particle filter are used to complete the calculation of a posteriori estimation, which solves the problem of state estimation of nonlinear systems under uncertain disturbances;Finally, an example is given to verify the feasibility and effectiveness of the distributed robust particle filter method. © 2023 IEEE.

关键词： State estimation

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A Position and Attitude Precise control Method of Electric-Assisted Transfer Vehicle 3

A Position and Attitude Precise Control Method of Electric-A...

引用

3rd international conference on Mechatronics and automation Technology, ICMAT 2024

作者： Xu, Yuefei Jia, Fengru Xu, Yinfei Meng, Haojie Shen, Jinggui Wang, Xiu Hu, Yueli Liu, Xuqiang Liu, Mingjie Hangzhou Power Equipment Manufacturing Co. Ltd. Hangzhou311100 China School of Automation Hangzhou Dianzi University Hangzhou310018 China

ISBN: (纸本)9781643685649

This paper presents a control method for adjusting the position of an electrical-assisted transfer vehicle in the context of substation auxiliary operation platforms. The proposed method integrates robotics, automatic control technology, and network communication technology to achieve precise attitude control and effective position adjustments. The control model is based on a two-wheel differential model, with a focus on posture adjustment strategies and dual-loop control. The paper also discusses the use of binocular vision for detecting target information and the 3D reconstruction process. The effectiveness of the proposed method is verified through a specific example, demonstrating its ability to meet error threshold requirements. © 2024 The Authors.

关键词： Binocular vision

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Design and Simulation of a 3-DOF Dexterous Joint Actuator based on Multi-drive Hierarchical Output and Spherical Rotation Mechanism 3

Design and Simulation of a 3-DOF Dexterous Joint Actuator ba...

引用

3rd international conference on robotics, automation and Artificial Intelligence (RAAI)

作者： Li, Xuhang Ma, Qingchuan Liu, Yuyao Chai, Zhiyuan Wang, Xingyu Wei, Shanshan Pan, Feiyu Ji, Linhong Beihang Univ Sch Engn Med Beijing Peoples R China Tsinghua Univ Dept Mech Engn Beijing Peoples R China

ISBN: (纸本)9798350307573;9798350307566

Series-type and ball-and-socket are currently two typical architectures of hip joint actuators. However, they either rely on advancements and applications in materials science or compromise on structural design, failing to accurately mimic the motion of the human hip joint. Therefore, we designed a three-degree-of-freedom (3-DOF) dexterous joint actuator based on multi-drive hierarchical output and spherical rotation mechanism for better kinematics performance, high power density, and high load-withstand capability. Three identical motors were installed in parallel on the motor mounting frame, with two motors coupled and controlled a pair of differential bevel gears, while another motor transmitted torque through two spherical gears, coupled with a secondary frame mounted on a large bevel gear, ultimately achieving spherical rotation with a fixed point as the center. 3D simulations demonstrated that this new design could achieve a 120-degree rotation range across three degrees of freedom, with high load-withstand capability, successfully meeting project expectations and demonstrating its usability. This design closely approximated the overall performance of the human hip joint in terms of driving performance, motion characteristics, and control logic. It provides theoretical support for addressing existing engineering bottlenecks in joint actuators and has promising potential for various robotic applications.

关键词： dexterous joint actuators bionic-inspired design spherical motion hip joint robotics

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Vision-based mobile robotic grinding path generation for large castings 3

Vision-based mobile robotic grinding path generation for lar...

引用

3rd international conference on robotics, automation and Intelligent control, ICRAIC 2023

作者： Chen, Lufeng Chen, Aobo Kuang, Yiqun Fan, Shuai Qiu, Jing Uestc School of Automation Engineering Chengdu China Chengdu University of Technology School of Mechanical and Electrical Engineering Chengdu China Uestc School of Mechanical and Electrical Engineering Chengdu China

ISBN: (纸本)9798350360813

Given the numerous drawbacks of manual grinding for castings, the use of robots for intelligent grinding is quickly becoming an unavoidable trend. This paper introduces the design of a grinding robot system for the intelligent grinding of medium and large non-standard castings. The proposed system uses labels to identify and scan the surface that needs grinding, subsequently registering and segmenting the obtained point cloud. From here, it converts the select grinding area into a triangular mesh surface, and maps it onto a parametric domain using the re-parameterization method. The system then plots a path on the plane and maps it back onto the original workpiece, acquiring the final grinding path after necessary tool axis adjustments. The grinding head is then manipulated to perform constant force grinding, employing the PID control. Tests have shown that the system can effectively grind the surface of medium and large nonstandard castings in real-world industrial settings. © 2023 IEEE.

关键词： Grinding (machining)

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Image Defogging Algorithm Based on Semi-Supervised Learning Neural Network 3

Image Defogging Algorithm Based on Semi-Supervised Learning ...

引用

3rd international conference on robotics, automation and Intelligent control, ICRAIC 2023

作者： Gao, Zhilin Xie, Fei Yin, Yue Chen, Xuan Wang, Jun Shi, Jianjun Nanjing Normal University School of Electrical and Automation Engineering Nanjing China Nanjing 30000iot Technology Co. Ltd. Nanjing China Nanjing Zhongke Raycham Laser Technology Co. Ltd Nanjing China

ISBN: (纸本)9798350360813

To improve the quality of images acquired by imaging devices in bad weather such as haze, defogging algorithms are widely used to acquire clear images. This paper proposes two distinct image-defogging algorithms, based on semi-supervised learning, to address the issue of the limited performance of deep learning dehazing algorithms when using synthetic hazy images as their current dehazing datasets. To this end, the poor effect of real foggy images applied to network training is addressed. Generative adversarial networks, employed as an unsupervised branch, are initially utilized to introduce real foggy images into the model training and to train the network in an alternating fashion with synthetic datasets. Secondly, in the unsupervised branch, the fog residual K of the fogged image is estimated by AOD-net, and the defogged image is restored to a fogged image by the improved atmospheric scattering model in AOD-net. Finally, this paper compares the SOTS test set in the RESIDE dataset with five classical algorithms. The comparison algorithms in both PSNR and SSIM indicators are outdone by the algorithms proposed in this paper, as demonstrated by the experimental results. © 2023 IEEE.

关键词： Deep learning

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Design and Implementation of Rubik45s Cube Smart Educational Robot 24

Design and Implementation of Rubik45s Cube Smart Educational...

引用

3rd international Symposium on control engineering and robotics, ISCER 2024

作者： Meng, Guoshun Jiang, Hongyuan Li, Xinle Luo, Yanhui School of Automation Science and Engineering South China University of Technology Guangzhou510641 China

ISBN: (纸本)9798400709951

In order to further integrate intelligent devices with classroom education and promote the development of "AI+ education", this paper designs and implements a Rubik's Cube smart educational robot. It adopts a single-arm turntable mechanical structure, with Raspberry Pi as the upper computer and STM32 microcontroller as the main control platform to control the operation of motors and servos. The robot completes the Rubik's Cube solving task with a software system based on Canny edge detection, KNN algorithm, and Thistlethwaite's Algorithm. The robot features a portable structure and can work normally under different lighting conditions through updating training sets, with a restoration speed of about 70 seconds. It is suitable for example demonstrations of microcomputer principles and motor control in university classrooms, as well as teaching popular science in other scenarios. © 2024 ACM.

关键词： Educational robots

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Design, control and Simulation of a Leg-Wheel Robot: STransleg 3

Design, Control and Simulation of a Leg-Wheel Robot: STransl...

引用

3rd international conference on Computer, control and robotics, ICCCR 2023

作者： Wei, Zhong Zhang, Jiwen Yang, Yang Xiang, Shen Sun, Huiyu Song, Aiguo School of Automation C-IMER and CICAEET Nanjing University of Information Science and Technology Nanjing China School of Automobile and Rail Transit Nanjing Institute of Technology Nanjing China School of Instrument Science and Engineering Southeast University Nanjing China

ISBN: (纸本)9781665492126

A versatile leg-wheel robot called STransleg is proposed in this paper. STransleg is propelled by four identical leg-wheel mechanisms, which can transform between the legged and wheeled modes. The leg has three active joints in the legged mode, and the wheel is active in the wheeled mode. The waist yaw and pitch joints are introduced to STransleg to improve the locomotion flexibility and stability. In this paper, the design and kinematics modeling methods of STransleg are described. Additionally, the control method is proposed for STransleg to make it do the four-wheeled locomotion, walking locomotion, and carriage-like locomotion. The simulations are carried out to make the dynamical model of STransleg do the different locomotion, and the results verify the feasibility of the robot design method and the proposed control method. © 2023 IEEE.

关键词： Wheels

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Highly Sensitive Flexible Resistance Strain Sensor Based on PDMS and Silver Nanowire 3

Highly Sensitive Flexible Resistance Strain Sensor Based on ...

引用

3rd international conference on Computer, control and robotics, ICCCR 2023

作者： Sun, Weiming Liu, Mei Djoulde, Aristide Liu, Xinyue School of Mechatronic Engineering and Automation Shanghai University Shanghai Key Laboratory of Intelligent Manufacturing and Robotics Shanghai200444 China

ISBN: (纸本)9781665492126

Flexible sensing film has a broad application prospect in the fields of medicine, wearable electronic devices, complex environment sensing, and others. In this paper, dimethylsiloxane (PDMS) was used as a flexible substrate to prepare composite conductive films by covering silver nanowires (AgNWs) with specific lines on the substrate surface. The resistance change of the sensor is mainly caused by the change in the number of contact points between AgNWs on the film surface, which has higher linearity than the traditional resistance strain gauge. The sensor is very sensitive and has a very good measuring effect on the pressure of 0-6N and the micro-bending caused by 0-1N. Common sensors made of micro-nano materials are usually affected by transverse strain. The sensor in this experiment designs a special circuit structure, which can effectively avoid the lateral effect. The sensor also has the characteristic of self-recovery, which can achieve self-recovery under a certain degree of damage. It can be used to detect small changes in the skin. © 2023 IEEE.

关键词： Substrates

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Hand Gesture Classification using sEMG Signals and Ensemble Learning 3

Hand Gesture Classification using sEMG Signals and Ensemble ...

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3rd IEEE international conference on Intelligent Techniques in control, Optimization and Signal Processing, INCOS 2024

作者： Chandran, Ranjeesh R Devaraj, D. Ashok, Saurav Shaji, Donfred Saju, Sam K Adishankara Institute of Engineering and Technology Department of Robotics and Automation Kerala Kalady India Kalasalingam Academy of Research and Education Department of Electronics and Electrical Technology Tamil Nadu Srivilliputhur India Adishankara Inst. of Eng and Tech. Department of Robotics and Automation Kerala Kalady India

ISBN: (纸本)9798350361186

Electromyographic signals offer details on a muscle activity of a person. In the case of hand movements various combinations of forearm muscles must be activated in order to carry out each gesture, which results in unique electrical patterns. On the other hand, identifying the motion being executed is made possible by the examination of these patterns of muscle activation, which are captured by EMG signals. This article presents a novel implementation on hand gesture classification utilizing Electromyography (EMG) signals recorded through a MYO Thalmic bracelet. The dataset consists of raw data collected from 36 subjects, each executing a series of static hand gestures. The classification model employed for this study is an ensemble of decision trees, achieving an impressive validation accuracy of 98.0% and a test accuracy of 98.1 %. The article outlines the dataset details, recording methodology, and provides an in-depth analysis of the model architecture, hyperparameters, and training results. © 2024 IEEE.

关键词： Decision trees

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