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检索条件"机构=Robotics and Computer Engineering"

共 8087 条记录，以下是181-190 订阅

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SPARROW: Smart Precision Agriculture Robot for Ridding of Weeds 5

SPARROW: Smart Precision Agriculture Robot for Ridding of We...

引用

5th IEEE International Conference for Emerging Technology, INCET 2024

作者： Balasingham, Dhanushka Samarathunga, Sadeesha Arachchige, Gayantha Godakanda Bandara, Anuththara Wellalage, Sasini Pandithage, Dinithi Hansika, Mahaadikara M.D.J.T. de Silva, Rajitha Dept. of Computer Systems Engineering Sri Lanka Institute of Information Technology Sri Lanka Melbourne Australia Lincoln Agri-Robotics University of Lincoln United Kingdom

ISBN: (纸本)9798350361155

The advancements in precision agriculture are vital to support the increasing demand for global food supply. Precision spot spraying is a major step towards reducing chemical usage for pest and weed control in agriculture. A novel spot spraying algorithm that autonomously detects weeds and performs trajectory planning for the sprayer nozzle has been proposed. Furthermore, this research introduces a vision-based autonomous navigation system that operates through the detected crop row, effectively synchronizing with an autonomous spraying algorithm. This proposed system is characterized by its cost effectiveness that enable the autonomous spraying of herbicides onto detected weeds. © 2024 IEEE.

关键词： computer vision

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On the Enhancement of Energy Efficiency of Wireless Rechargeable Sensor Networks through Mobile Charger Scheduling 2

On the Enhancement of Energy Efficiency of Wireless Recharge...

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2nd International Conference on Distributed Computing and Optimization Techniques, ICDCOT 2024

作者： Kamaruzzaman, Md. Chandra, Abhijit Azharuddin, Md. The Neotia University Dept.of Robotics and Automation Kolkata India Jadavpur University Dept. of Instrumentation and Electronics Engineering Kolkata India Aliah University Dept. of Computer Science and Engineering Kolkata India

ISBN: (纸本)9798350382952

In recent years, wireless rechargeable sensor networks (WRSNs) have become more popular because of its diverse array of applications. However, the limited energy resources of individual sensors pose a significant challenge in maintaining network operations over an extended period. To address this challenge, this research paper presents an energy-efficient scheduling scheme based on distance based scheduling for mobile charging vehicle (MCV) in WRSNs. The proposed scheme capitalizes on the MCV, allowing them to dynamically adjust their charging schedules to cater to the energy demands of sensor nodes (SNs). By efficiently allocating charging tasks to MCV, the scheme aims to balance the energy distribution and mitigate the energy imbalance across the network. By conducting comprehensive simulations with various scenarios, the proposed scheme has been compared with some existing schemes in relation to charging path length, total energy received and charging utility. The simulation results manifest significant advantages of the proposed scheme. © 2024 IEEE.

关键词： Energy efficiency

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A Resilient Framework for 5G-Edge-Connected UAVs based on Switching Edge-MPC and Onboard-PID Control 32

A Resilient Framework for 5G-Edge-Connected UAVs based on Sw...

引用

32nd IEEE International Symposium on Industrial Electronics, ISIE 2023

作者： Damigos, Gerasimos Seisa, Achilleas Santi Satpute, Sumeet Gajanan Lindgren, Tore Nikolakopoulos, George Ericsson Research Luleå Sweden Luleå University of Technology Robotics and AI Group Department of Computer Electrical and Space Engineering Luleå Sweden

ISBN: (纸本)9798350399714

In recent years, the need for resources for handling processes with high computational complexity for mobile robots is becoming increasingly urgent. More specifically, robots need to autonomously operate in a robust and continuous manner, while keeping high performance, a need that led to the utilization of edge computing to offload many computationally demanding and time-critical robotic procedures. However, safe mechanisms should be implemented to handle situations when it is not possible to use the offloaded procedures, such as if the communication is challenged or the edge cluster is not available. To this end, this article presents a switching strategy for safety, redundancy, and optimized behavior through an edge computing-based Model Predictive Controller (MPC) and a low level onboard-PID controller for edge-connected Unmanned Aerial Vehicles (UAVs). The switching strategy is based on communication Key Performance Indicators (KPIs) over 5G to decide whether the UAV should be controlled by the edge-based or have a safe fallback based on the onboard controller. © 2023 IEEE.

关键词： Three term control systems

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Optimization-Method-Inspired Update Scheme for Neural Network Assisted Control Tuning of PMSMs 26

Optimization-Method-Inspired Update Scheme for Neural Networ...

引用

26th International Conference on Electrical Machines and Systems, ICEMS 2023

作者： Yin, Zhenxiao Zhao, Hang Lu, Pei Shen, Yang Robotics and Autonomous Systems Thrust Guangzhou China The Hong Kong University of Science and Technology Department of Electronic & Computer Engineering Hong Kong

ISBN: (纸本)9798350317589

The derivative of the control increment concerning the output of the neural network (NN) stands as a pivotal factor within the NN-assisted control tuning approach for permanent magnet synchronous motors (PMSMs). However, the significance of selecting an appropriate formula lacks explanation. Through an analysis of gradient-based optimization methods, the underlying principle behind the update of control increments becomes evident. Consequently, the design of the control tuning scheme incorporates gradient descent with and without momentum, as well as accelerated momentum. These techniques are applied to formulate the update law for the backpropagation neural network (BPNN) assisted control. Subsequently, these devised methodologies are integrated into the BPNN framework for the purpose of comparison. Finally, the results are validated in experiments. © 2023 IEEE.

关键词： Optimization

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Benchmarking Convolutional Neural Network Inference on Low-Power Edge Devices 48

Benchmarking Convolutional Neural Network Inference on Low-P...

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48th IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2023

作者： Ferraz, Oscar Araujo, Helder Silva, Vitor Falcao, Gabriel Instituto de Telecomunicações Portugal University of Coimbra Dept. of Electrical and Computer Engineering Portugal Institute of Systems and Robotics Portugal

ISBN: (纸本)9781728163277

The massive adoption of IoT devices, the recent developments in the efficiency of AI systems, and the increase of edge computational power, accelerated the deployment of edge AI systems. The implementation of these systems through the use of low-power embedded devices scattered across the edges of a network allows for reduced latency and cost, compared to traditional cloud-based AI computing systems. As a result of the low-complexity AI models and the available low-power embedded systems on the market, this paper provides a comparative study on the inference performance of convolutional neural networks for different edge devices, by exploiting low-power GPUs and dedicated AI hardware. The benchmark results were able to achieve 864 inferences/s for the Jetson AGX Xavier board on a pre-trained SqueezeNet, while reaching a high power efficiency of 52.6 inferences/s per Watt. For the dedicated Movidius neural stick, the system requires only 1.5 W for processing 24.2 inferences/s. © 2023 IEEE.

关键词： Artificial Intelligence Benchmarking Edge devices GPUs Inference Engine IoT Low-power

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Continuous query-based data trading 24

Continuous query-based data trading

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2024 ACM SIGMETRICS/IFIP Performance Conference on Measurement and Modeling of computer Systems, SIGMETRICS/PERFORMANCE 2024

作者： Cheng, Jin Ding, Ningning Lui, John C.S. Huang, Jianwei School of Science and Engineering Shenzhen Institute of Artificial Intelligence and Robotics for Society The Chinese University of Hong Kong Shenzhen Shenzhen China Department of Electrical and Computer Engineering Northwestern University Evanston United States Department of Computer Science and Engineering The Chinese University of Hong Kong Hong Kong Hong Kong

ISBN: (纸本)9798400706240

In the era of big data, traditional data trading methods designed for one-time queries on static databases fail to meet the demands of continuous query-based trading on streaming data, often resulting in repeated and inaccurate charges due to neglecting computation sharing in continuous query execution. To address this, we introduce CQTrade, the first trading framework tailored for continuous queries, which incorporates computation sharing across different time windows and queries, enhancing integration with existing trading systems. Our contributions include a theoretical analysis of computation-sharing techniques, the development of a general optimization problem to maximize seller revenue adaptable to various techniques, and the proposal of a branch-and-price algorithm to handle the problem's complexity. Our evaluation shows that the proposed framework improves the success rate of data trading by 12.8% and boosts the seller's revenue by an average of 28.7%, compared to the one-time query-based data trading methods used in the current data market. © 2024 Copyright held by the owner/author(s).

关键词： Integer programming

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A Novel Coupling Control Method for 6-DOF AUVs based on Multi-Motor Cooperation 26

A Novel Coupling Control Method for 6-DOF AUVs based on Mult...

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26th International Conference on Electrical Machines and Systems, ICEMS 2023

作者： Lu, Pei Yin, Zhenxiao Zhao, Hang Robotics and Autonomous Systems Thrust Guangzhou China The Hong Kong University of Science and Technology Department of Electronic & Computer Engineering Hong Kong

ISBN: (纸本)9798350317589

The speed difference among underwater motors can induce either strong or weak coupling effects among different control loops within six-degree-of-freedom (6-DOF) autonomous underwater vehicles (AUVs). However, this issue is rarely accorded specialized attention. This paper utilizes the impact of the yaw dimension on roll angle control as an example, and proposes a novel coupling control method. This method hinges on collaborative action among multiple motors to mitigate the amplitude of speed difference fluctuations while introducing a coupling compensator in the feedforward loop. The efficacy of this method in enhancing the stability and robustness of motion control, as well as its superiority over conventional decoupling control methods, are substantiated through both simulation and experimentation. © 2023 IEEE.

关键词： Autonomous underwater vehicles

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Comparison of Structural Optimization for PMSMs Based on Various Machine Learning Methods 49

Comparison of Structural Optimization for PMSMs Based on Var...

引用

49th Annual Conference of the IEEE Industrial Electronics Society, IECON 2023

作者： Li, Fang Zhao, Hang Yin, Zhenxiao Robotics and Autonomous Systems Thrust Guangzhou China The Hong Kong University of Science and Technology Department of Electronic & Computer Engineering Hong Kong

ISBN: (纸本)9798350331820

Existing sensitivity analysis methods suffer from issues such as small differentiation in parameter sensitivity and slow computational speed. To solve these problems, three machine learning methods, namely Ridge regression, Lasso regression, and Elastic Net, are investigated in this paper. First, a PMSM's performance is analyzed using Finite Element Method (FEM) to identify the variation range of the structural parameters that require optimization. Following that, a finite element sample database is established based on this range using the Design of Experiment (DOE). Next, the variable selection results of PMSM optimization are compared using different machine learning methods and traditional machine sensitivity analysis method. Finally, the performances of the PMSM optimized based on the three machine learning methods are evaluated. The results indicates that Lasso Regression proves to be the most effective method. It achieves rapid convergence and effectively identifies the most sensitive parameter, enhancing the optimization efficiency of PMSMs while retaining the global optimum. © 2023 IEEE.

关键词： Sensitivity analysis

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Social engineering attack types and prevention techniques- A survey 1

Social engineering attack types and prevention techniques- A...

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1st International Conference on Computational Intelligence, Communication Technology and Networking, CICTN 2023

作者： Salama, Ramiz Al-Turjman, Fadi Bhatia, Shruti Yadav, Satya Prakash Near East University Ai and Robotics Institute Research Center for Ai and IoT Department of Computer Engineering Nicosia Turkey Near East University Ai and Robotics Institute Artificial Intelligence Engineering Dept. Nicosia Turkey University of Kyrenia Research Center for Ai and IoT Faculty of Engineering Kyrenia Turkey Graphic Era Hill University Department of Computer Science and Engineering Dehradun India Department of Computer Science and Engineering Greater Noida201306 India

ISBN: (纸本)9798350338027

The term "Cyber Security"is getting more and more popular and important over the last few years. Since computers and most of the devices are connected to the internet, they are likely to be hacked by the hackers. In the past, this issue was not a big problem, because not every device is required to be connected to the internet or the internet was not popular as today. But the case has changed over the years. All the changes in the technology area also changed the cyber-attack models as well. With the development of technology and the change of usage of the internet over the last years cyber-attacks have become more common and popular by the hackers. Hackers have discovered that they have an opportunity to steal or earn money in a short time without having to spend too much effort. These days, the type of cyber-attacks is not the same as the ones in the past. As time passes, the cyber-attack methods are also changing and evolving. Today, hackers are using more advanced and effective cyber-attack methods compared to past years. There are many methods that are impossible to cover all of them in this article. Our main focus will be on social engineering attacks in this article. Social engineering attacks use different approaches to cyber attacking. Unlike trying to explode a victim's social media password etc. using advanced exporting programs, algorithms or techniques, social engineering attacks focus on fooling victims into providing their data to hackers by themselves without using or implementing any password cracking, exploiting techniques etc. We will go over what social media engineering is, type of social engineering methods, what countermeasures can be used to protect from social engineering and more in this article. © 2023 IEEE.

关键词： Crime

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Walking-age estimator based on gait parameters 12

Walking-age estimator based on gait parameters

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12th IEEE Global Conference on Consumer Electronics, GCCE 2023

作者： Kuroda, Tomohito Okamoto, Shogo Akiyama, Yasuhiro Tokyo Metropolitan University Department of Computer Science Hino Japan Shinshu University Dept. Mechanical Engineering and Robotics Ueda Japan

ISBN: (纸本)9798350340181

Human gait motions differ depending on age. We estimated peoples' age using kernel regression analysis with reported height and weight and representative gait parameters as explanatory variables. The samples were Japanese women aged in their 20s-70s represented in an open database. The estimated ages exhibited a correlation coefficient of 0.65 with the actual ages, and the mean absolute error was 17.7 years. Estimation errors were significantly greater for older adults than for young people. Given that the method involves gait parameters that can be measured using wearable devices, such as inertial measurement units, this technique provides an accessible way for people to independently monitor their physical health in daily life. © 2023 IEEE.

关键词： Regression analysis

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