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共 35064 条记录，以下是231-240 订阅

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A GPS Spoofing Detection Algorithm for UAVs Based on Trust Evaluation 13

A GPS Spoofing Detection Algorithm for UAVs Based on Trust E...

引用

13th ieee international conference on cyber technology in automation, control, and intelligent systems, cyber 2023

作者： Chen, Xinming Li, Tong Liu, Hui Huang, Qian Gan, Xudong AVIC Chengdu Aircraft Design and Research Institute Chengdu610041 China University of Electronic Science and Technology of China Chengdu611731 China

ISBN: (纸本)9798350315196

This paper deals with GPS spoofing detection for unmanned aerial vehicles (UAVs) in electromagnetic interference region. GPS may suffer spoofing interference in the electromagnetic interference area, which leads to the failure of positioning of the UAV. So, the detection of GPS spoofing is an interesting and challenging problem. To solve this problem, this paper first designs the output difference detection strategy through the real-time output information of dead reckoning system (DRS), and then introduces the trust evaluation mechanism to adjust the GPS trust in real time. Combining the output difference detection strategy and trust evaluation mechanism, this paper proposes a spoofing detection algorithm based on trust evaluation, so as to realize the detection of GPS spoofing interference and has a good effect on eliminating misjudgment. Finally, the correctness and superiority of the proposed GPS spoofing detection algorithm are verified by simulation experiment. © 2023 ieee.

关键词： Signal interference

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D-PSO: An Optimization Algorithm for Wireless Sensor Network Layout in Power systems 9

D-PSO: An Optimization Algorithm for Wireless Sensor Network...

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9th international conference on automation, control and Robotics Engineering (CACRE)

作者： Ma, Pengwei Zhu, Yuanjiao Sun, Zheng Wei, Jingyi Luo, Yunchen Zhou, Jie Shihezi Univ Coll Informat Sci & Technol Shihezi Peoples R China

ISBN: (纸本)9798350350319;9798350350302

The effective deployment of wireless sensor networks (WSNs) is a crucial foundation for the intelligent development of power systems. To address the optimization of wireless sensor distribution in power systems, this paper proposes a novel method named the Distributed Particle Swarm Optimization algorithm (D-PSO). This method mitigates the premature convergence issue of heuristic algorithms by introducing a regional operator. Additionally, considering the high-interference environment in power systems, relay node strategy (RNS) is incorporated to ensure communication quality. Simulation results validate the effectiveness and superiority of the D-PSO method and demonstrate the necessity of the RNS. Compared to some advanced particle swarm algorithms, this method better balances energy consumption, coverage, and communication quality, thereby significantly enhancing the overall performance of the wireless sensor network.

关键词： wireless sensor network power systems Particle Swarm Optimization algorithm

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A Real-Time Video-Based System for Quantitative Assessment of Bradykinesia and Tremor in Parkinson's Disease 14

A Real-Time Video-Based System for Quantitative Assessment o...

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14th ieee international conference on cyber technology in automation, control, and intelligent systems, cyber 2024

作者： Feng, Yuxin Wu, Jingchao Lin, Jianeng Yu, Yang Liang, Siquan Qin, Yanding Han, Jianda Yu, Ningbo Tianjin Huanhu Hospital Department of Neurosurgery Tianjin300350 China Tianjin Huanhu Hospital Department of Rehabilitation Medicine Tianjin300350 China College of Artificial Intelligence Nankai University Tianjin300350 China Engineering Research Center of Trusted Behavior Intelligence Ministry of Education Nankai University Tianjin300350 China Institute of Intelligence Technology and Robotic Systems Shenzhen Research Institute Nankai University Guangdong Shenzhen518083 China

ISBN: (纸本)9798331506056

Parkinson's disease is a neurodegenerative disorder predominantly observed in the elderly, marked by motor impairments including bradykinesia and tremors. Accurate evaluation of motor symptoms is essential for the effective treatment and management of Parkinson's disease patients. This work is divided into two parts. Firstly, we developed a non-contact measurement system that enables real-time feature extraction, analysis, and visualization to quantify and assess bradykinesia and tremor in the hand movements of Parkinson's disease patients. The system captures the patient's hand movements in real-time using a camera and utilizes MediaPipe to extract hand keypoints, thereby quantifying three tasks: finger tapping, hand movement, and resting tremor. Additionally, the paper proposes a convolutional neural network model based on Local Topological Recurrence Analysis (LoTRA) for directly distinguish between tremor and non-tremor from videos. A total of 498 data samples from 20 Parkinson's disease patients were collected for training the model, achieving an accuracy of 91.7% for the detection of hand resting tremor. Our research demonstrates the applicability of this system for the assessment of bradykinesia and tremor in Parkinson's disease, and validates the effectiveness of computer-assisted evaluation of tremor in Parkinson's disease based on video analysis. This system can be applied in various scenarios such as early Parkinson's disease screening and intraoperative evaluation. © 2024 ieee.

关键词： Neurodegenerative diseases

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Trajectory Optimization of Manipulator for Loading and Unloading the Ladle Nozzle Based on Decomposition Multi-Objective Improved Whale Optimization Algorithm 13

Trajectory Optimization of Manipulator for Loading and Unloa...

引用

13th ieee international conference on cyber technology in automation, control, and intelligent systems, cyber 2023

作者： Zhao, Dongliang Fang, Yiming Yang, Chen Xin, Jingliang Yanshan University Key Lab of Industrial Computer Control Engineering Hebei Province Qinhuangdao China Eng. Res. Center of the Education Ministry for Intelligent Control System and Intelligent Equipment Yanshan University Hebei Province Qinhuangdao China Hebei Iron and Steel Group Hebei Province Tangshan China

ISBN: (纸本)9798350315196

In recent years, industrial manipulators are widely used in factories. To solve the problems of low efficiency and high joint jitter in ladle nozzle loading and unloading, a new trajectory optimization method is proposed. Firstly, a manipulator model is established on the base of mechanical construction and parameters of KR1000L750. And the 3-5-3 segmented polynomial interpolation approach is used to design the trajectory. Then a trajectory optimization model is proposed based on time and impact as optimization objectives. Secondly, the traditional whale optimization algorithm is improved by introducing a nonlinear adaptive convergence factor to balance the exploration and development of the algorithm. The improved algorithm has also added a new search mechanism during the exploration phase. To reduce the waste of exploration resources, the information on the current optimal solution is added by the Cauchy mutation method. Then, a decomposition-based multi-objective improved whale optimization algorithm (DMOIWOA) is proposed. The algorithm combines a penalty-based boundary intersection approach with the improved whale optimization algorithm. Six representative optimization algorithms are selected for comparison on the test functions. The DMOIWOA has evident superiority in convergence and distribution. Finally, the algorithm is applied to the trajectory optimization model to obtain a better Pareto front. In conclusion, the DMOIWOA can reasonably optimize the manipulator trajectory, improving the manipulator operation efficiency and reducing the manipulator jitter. © 2023 ieee.

关键词： Trajectories

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Robotic Process automation and intelligent automation Security Challenges: A Review

Robotic Process Automation and Intelligent Automation Securi...

引用

2023 international conference on cyber Management and Engineering, CyMaEn 2023

作者： Al-Slais, Yaqoob Ali, Mazen University of Bahrain Dept. of Information Systems College of It Bahrain

ISBN: (纸本)9781665493291

Robotic Process automation (RPA), Artificial Intelligence (AI), and Blockchain (BC) applications are several of the widely sought components of the Fourth Industrial Revolution (4IR). As with any nascent technology, security challenges arise and expose their vulnerabilities, impacting the security of national governments, businesses, and individuals. This paper produced a systematic literature review to identify the primary technical security challenges regarding RPA and intelligent automation (IA) and its implementation within business organizations. The review found eight significant technical challenges in the literature. Robust logging, auditing, and access control were the most frequently discussed challenges. Based on the results, BC technologies have considerable potential to be a viable solution to address RPA and IA's logging and auditing challenges to mitigate data leakage and digital fraud within organizations. © 2023 ieee.

关键词： Blockchain

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intelligent Tracking control of Nonlinear systems with Pure-Feedback Structure Using Optimized Backstepping 2

Intelligent Tracking Control of Nonlinear Systems with Pure-...

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2nd international conference on cyber-Energy systems and intelligent Energy, ICCSIE 2024

作者： Xu, Qiushi Dong, Qingyuan Long, Feng Zhang, Yan Zhao, Wanxin Deng, Linjiang State Grid Yingkou Power Supply Company Yingkou China

ISBN: (纸本)9798350373318

This article studies the problem of adaptive optimized finite-time tracking control for a class of nonlinear single-input single-output systems in the form of pure-feedback. In order to realizing the finite optimal control, the adaptive optimized control technology is used. Based on the low-pass filter, an adaptive finite-time optimized scheme is presented, which can address the problem of algebraic loop. It can be demonstrated that based on the proposed adaptive optimized controller, both the optimized tracking and finite-time control are guaranteed. A simulation of the actual nonlinear system proves the validity of the presented method. © 2024 ieee.

关键词： Low pass filters

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Gradient-Based Online Trajectory Planning for Quadrotor Transportation systems 13

Gradient-Based Online Trajectory Planning for Quadrotor Tran...

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13th ieee international conference on cyber technology in automation, control, and intelligent systems, cyber 2023

作者： Pei, Tengfei Jin, Ying Yu, Hai Fang, Yongchun Han, Jianda Liang, Xiao Institute of Robotics and Automatic Information System Tianjin Key Laboratory of Intelligent Robotics College of Artificial Intelligence Nankai University Tianjin300350 China Nankai University Engineering Research Center of Trusted Behavior Intelligence Ministry of Education Tianjin300350 China

ISBN: (纸本)9798350315196

Trajectory planning has been an important research area for quadrotor transportation systems for a long time. However, generating feasible trajectories in real-time that allow quadrotor transportation systems to navigate safely in complex environments remains a challenging issue. This article proposes an efficient gradient-based safety constraint that helps keep the system away from obstacles. Furthermore, this paper combines safety constraint with a novel B-spline-based optimization method that utilizes an improved hybrid-state A* algorithm for path searching to generate desired trajectory. Strategies to speed up path searching and unconstrained optimization problem constructed in B-spline optimization guarantee the computational efficiency. The feasibility of the resulting trajectory has been verified through simulation. © 2023 ieee.

关键词： Trajectories

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High-Precision Paper-Based Microfluidic Devices Fabrication Based on Laser Cutting Method 13

High-Precision Paper-Based Microfluidic Devices Fabrication ...

引用

13th ieee international conference on cyber technology in automation, control, and intelligent systems, cyber 2023

作者： Zhang, Yan Piao, Linhua Beijing Information Science and Technology University Beijing Key Laboratory of Sensors Beijing China

ISBN: (纸本)9798350315196

To explore a simple, fast and high-precision paper-based devices fabrication method, a paper-based microfluidic devices fabrication method based on CO2 laser cutting technology is proposed in this paper, in which the filter paper is fixed with aluminum foil, and the hydrophobic barrier is formed by laser cutting the adhered filter paper. High-precision paper-based devices can be produced quickly and in large quantities due to the adjustable laser power magnitude and movement speed. The minimum hydrophilic channel width of the paper-based devices made by this method is 76±2 µm and the minimum hydrophobic barrier width is 90±3 µm, which greatly reduces the size of the paper-based devices. The paper-based devices made by this method for the detection of nitrite concentration obtained good linearity and good agreement with the spectrophotometry for the detection of nitrite. The paper-based devices made by laser cutting method are simple, low manufacturing cost, stable process method and good consistency for mass production, which provides an effective means for the research and wide application of paper-based devices. © 2023 ieee.

关键词： Microfluidics

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Research on SPR Two-Parameter PCF Sensing technology Based on U-Shaped Nanowires 13

Research on SPR Two-Parameter PCF Sensing Technology Based o...

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13th ieee international conference on cyber technology in automation, control, and intelligent systems, cyber 2023

作者： Ying, Yu Yan, Xiao-Lin Shan, Dan Gao, Zhi-Jun Shenyang Jianzhu University Department of Electrical and Control Engineering Liaoning Shenyang China

ISBN: (纸本)9798350315196

To solve the problem that the band of optical fiber sensor is relatively close and the sensitivity is low when measuring refractive index/temperature simultaneously, Photonic crystal fiber (PCF) sensors based on U-groove nanowires are proposed in this paper. The refractive index and temperature were measured simultaneously by the U-shaped gold nanowire and semi-arc gold film channels. The finite element method analyzed the spectral response characteristics of the two-parameter sensor. In terms of optimization, the influence of metal parameters (gold wire and gold film part) and optical fiber structure (polishing depth and groove width) on absorption peak is discussed, and the optimal parameters are determined. The results show that the maximum sensitivity of the two-parameter sensor in the refractive index range of 1.35-1.43 and the temperature range of 20°C-40°C is as high as 12300nm/RIU and 1.56nm/°C, and the operating range of the two-parameter band is more than 200 nm. This two-parameter sensing structure based on a U-shaped nanowire structure not only has high sensitivity and strong anti-interference but can also solve the cross-sensitivity problem, which provides a new idea for applying the two-parameter optical fiber sensing field. © 2023 ieee.

关键词： Refractive index

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Cultivating Ecocentric Machines: Changing the Direction of the Anthropocentric Lineage in intelligent Machines 7

Cultivating Ecocentric Machines: Changing the Direction of t...

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ieee 7th international conference on Industrial cyber-Physical systems (ICPS)

作者： Broo, Didem Gurdur Getters, Joshua C. Saetra, Henrik Skaug Uppsala Univ Dept Informat Technol Cyber Phys Syst Lab Uppsala Sweden Univ North Florida 1 UNF Dr Jacksonville FL 32224 USA Ostfold Univ Coll N-1757 Remmen Halden Norway

ISBN: (纸本)9798350363029;9798350363012

This article explores strategies for cultivating a paradigm shift in the engineering design of intelligent machines, moving from conventional anthropocentric priorities toward a more ecocentric orientation aligned with ecological ethics. Through a comprehensive literature review, historical patterns of anthropomorphism in intelligent systems are traced, revealing how human-centered considerations have persistently dominated machine design across eras. To disrupt this enduring lineage and integrally reorient technology innovation toward ecological balance, four targeted strategies are proposed: (1) adopting question-seeking and systems thinking;(2) designing integrated ecosystems rather than discrete networks;(3) balancing exploitation with exploration;and (4) infusing diverse perspectives through transdisciplinarity. By reforming engineering education and culture from the ground up, the creation of intelligent machines can be realigned to enrich our shared environment rather than simply maximize human primacy. This paper offers a constructive roadmap to transform the promise of increasingly autonomous technologies in the 21st century and beyond.

关键词： Anthropogenic

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