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Automatic messaging system by detecting the road accidents for vehicle applications

Materials Today: Proceedings 2023年 80卷 3124-3128页

作者： Karthik, M. Sreevidya, L. Vinodha, K. Thangaraj, M. Hemalatha, G. Sena, T. Viswak Department of Electrical and Electronics Engineering Sri Ramakrishna Engineering College Tamil Nadu Coimbatore641 022 India Department of Electrical and Electronics Engineering VSB College of Engineering Tamil Nadu Coimbatore642 109 India Department of Computer Science and Engineering New Horizon College of Engineering Karnataka Bengaluru560 103 India Department of Electrical and Electronics Engineering Coimbatore Institute of Engineering & Technology 641 055 Tamil Nadu India Department of Robotics and Automation Sri Ramakrishna Engineering College Tamil Nadu Coimbatore641 022 India

The emerging advancements in innovation has changed our lives drastically making it ease. Yet in this forefront world the rate of automobile accidents is still increasing resulting in increased fatality rate majorly due to untimely attention of emergency services. Our project will provide the best possible answer to this problem. When an automobile collides with another vehicle, the MEMS sensor senses this and sends the data, which is then processed by Arduino, according to this project. The Arduino sends an alarm message to a police control room or a rescue squad via the GSM Module, which includes the position. As a result, as soon as the police receive the information, they can use the GPS Module to track down the location. Then, once the location has been confirmed, the necessary steps will be taken. The project alerts the emergency services and the family members for immediate help by sending the location when an accident occurs. © 2021

关键词： Global system for mobile communications

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Hierarchical Efficiency Optimization Strategy Based on Wavelet and Fuzzy Control for Aircraft Hydrogen Fuel Cell Hybrid APU 3

Hierarchical Efficiency Optimization Strategy Based on Wavel...

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3rd Asia Power and electrical Technology Conference, APET 2024

作者： Lu, Xiaoyin Ma, Shiwei Xie, Jianghua School of Mechatronic Engineering and Automation Shanghai University Shanghai China COMAC Shanghai Aircraft Design and Research Institute Electrical Integration Department Shanghai China

ISBN: (纸本)9798350367690

At present, the auxiliary power unit (APU) system of civil aircraft has the disadvantages of heavy, noisy and low efficiency, so a new form of power supply is needed to replace its fuel generator. Consequently, the structure of proton exchange membrane fuel cell (PEMFC) and lithium battery hybrid power supply system to replace the original fuel APU system is proposed. An appropriate energy management strategy (EMS) is the key to the practical application of this alternative scheme in the aerospace field. Therefore, combined with the power demand characteristics of civil aircraft APU, this paper proposes a hierarchical strategy which optimizes the power fluctuation and working efficiency of the fuel cell through the frequency separation layer based on wavelet, the fuel cell system efficiency optimization layer based on fuzzy control and the lithium battery SOC protection layer based on rule control, so as to improve prolong the fuel cell life and improve the system stability. Finally, this paper establishes the battery life evaluation index and the proposed control strategy is compared with wavelet-based energy management strategy without hierarchical control. The results show that the improved hierarchical control strategy can effectively reduce the power fluctuation of the fuel cell and improve the working efficiency of the fuel cell, and only increase little shutdown time of the fuel cell to optimize the life of the fuel cell. © 2024 IEEE.

关键词： Fuzzy control

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PierGuard: A Planning Framework for Underwater Robotic Inspection of Coastal Piers

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IEEE Transactions on automation Science and engineering 2025年 22卷 15941-15952页

作者： Wang, Pengyu Lin, Hin Wang Li, Jialu Wang, Jiankun Shi, Ling Meng, Max Q.-H Southern University of Science and Technology Shenzhen Key Laboratory of Robotics Perception and Intelligence Department of Electronic and Electrical Engineering Shenzhen China Hong Kong University of Science and Technology Department of Electronic and Computer Engineering Hong Kong Southern University of Science and Technology Jiaxing Research Institute Jiaxing China Hong Kong University of Science and Technology Department of Chemical and Biological Engineering Hong Kong The Chinese University of Hong Kong Department of Electronic Engineering Hong Kong University of Alberta Canada Department of Electrical and Computer Engineering Canada

Using underwater robots instead of humans for the inspection of coastal piers can enhance efficiency while reducing risks. A key challenge in performing these tasks lies in achieving efficient and rapid path planning within complex environments. Sampling-based path planning methods, such as Rapidly-exploring Random Tree* (RRT*), have demonstrated notable performance in high-dimensional spaces. In recent years, researchers have begun designing various geometry-inspired heuristics and neural network-driven heuristics to further enhance the effectiveness of RRT*. However, the performance of these general path planning methods still requires improvement when applied to highly cluttered underwater environments. In this paper, we propose PierGuard, which combines the strengths of bidirectional search and neural network-driven heuristic regions. We design a specialized neural network to generate high-quality heuristic regions in cluttered maps, thereby improving the performance of the path planning. Through extensive simulation and real-world ocean field experiments, we demonstrate the effectiveness and efficiency of our proposed method compared with previous research. Our method achieves approximately 2.6 times the performance of the state-of-the-art geometric-based sampling method and nearly 4.9 times that of the state-of-the-art learning-based sampling method. Our results provide valuable insights for the automation of pier inspection and the enhancement of maritime safety. (Video1). © 2004-2012 IEEE.

关键词： Motion planning

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Robust Practical Stabilization for Complex Dynamical Networks With DoS Attacks and Actuator Saturation

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IEEE Transactions on Systems, Man, and Cybernetics: Systems 2025年第5期55卷 3108-3118页

作者： Shi, Xueya Peng, Zhinan Yu, Junzhi Li, Hongfei Southwest University College of Electronic and Information Engineering Chongqing400715 China Sichuan Artificial Intelligence Research Institute Yibin644000 China University of Electronic Science and Technology of China School of Automation Engineering Chengdu611731 China Peking University State Key Laboratory for Turbulence and Complex Systems Department of Advanced Manufacturing and Robotics College of Engineering Beijing100871 China

This article addresses the problem of designing an attack-resilient adaptive event-triggered (AET) controller for complex dynamical networks (CDNs) under DoS attacks and actuator saturation, with a focus on robust practical stability (RPS). First, considering the impact of DoS attacks on closed-loop systems, an AET controller against DoS attacks is designed. Unlike other event-triggered controllers, the complete timeline is divided, and the AET controller is built with two switching modes based on the intervals of dormant and active periods of DoS attacks in which the system is located. Second, to reconcile AET controller with actuator saturation, a switched system modeling approach is established that explicitly incorporates saturation constraints into the coupled network dynamics. Third, a switched Lyapunov-Krasovskii functional (LKF) is proposed, with which sufficient conditions are provided to ensured the RPS, and a joint design strategy is developed for the desired triggered matrix and feedback gain using linear matrix inequalities (LMIs). Moreover, the results are generalized to the case of actuator faults, indicating that the system is able to achieve RPS with actuator faults. Finally, the proposed method is verified through an example. © 2013 IEEE.

关键词： Lyapunov functions

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Implementing SLAM for Robot Navigation with Lidar in ROS Platform 4

Implementing SLAM for Robot Navigation with Lidar in ROS Pla...

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4th IEEE International Conference on Emerging Frontiers in electrical and Electronic Technologies, ICEFEET 2024

作者： Verma, Gaurav Kumar Ray, Ranjit Swar, Surya Narayan Meena, Gagan Deep Dept. of Electrical Engineering National Institute of Technology Patna India Underwater Robotics & Autonomous Group CSIR-Central Mechanical Engineering Research Institute Durgapur India Department of Computer Science & Engineering Gandhi Institute of Engineering and Technology University Gunupur India

ISBN: (纸本)9798331528614

This research covers the implementation of SLAM (Simultaneous Localization and Mapping) with Ouster OS0 LiDAR (Light Detection and Ranging) sensor in the Robot Operating System (ROS1) Noetic. Using the high-frequency capabilities of the ouster, this method works towards mapping and localization in structured and unstructured environments. The paper explains the Ouster sensor integration in the ROS1 Noetic environment, providing information on the sensor calibration, data acquisition, and pre-processing. The ROS ecosystem in Ubuntu 20.04 is set to process the data streams coming from the ouster LiDAR sensor which is further utilised to create map and localize the robot. The Ouster LiDAR sensor scans every object in its field of view (in 3D), the data is then used for the SLAM. SLAM is executed using the Direct Lidar Odometry (DLO) algorithm for mapping and simultaneously helping the robot with localization and enabling it to navigate through the environment smoothly and precisely. © 2024 IEEE.

关键词： SLAM robotics

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Review of Inference Time Prediction Approaches of DNN: Emphasis on Service robots with cloud-edge-device architecture

Review of Inference Time Prediction Approaches of DNN: Empha...

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2023 IEEE International Conference on robotics and Biomimetics, ROBIO 2023

作者： Xiang, Tian Meng, Qiwei Zhang, Ji Zhang, Beibei Song, Wei Xie, Anhuan Gu, Jason Research Institute of Interdisciplinary Innovation Zhejiang Laboratory Research Center for Intelligent Robotics Hangzhou311100 China The Chinese University of Hong Kong T Stone Robotics Institute Department of Mechanical and Automation Engineering Hong Kong Research Institute of Intelligent Computing Zhejiang Laboratory Research Center for Intelligent Computing Software Hangzhou311100 China Dalhousie University Electrical and Computer Engineering Halifax Canada

ISBN: (纸本)9798350325706

In recent years, the global robot market has witnessed substantial growth, particularly in the domain of service robots. Despite their expanding presence, service robots encounter limitations when operating autonomously in unstructured environments, primarily due to their constrained computational capacities. As a solution, the fusion of cloud and edge computing resources becomes imperative to expedite task inference and enhance scenario perception capabilities. The integration of cloud-edge-device models holds significant promise in bolstering the operational efficiency of robots. This entails the dynamic partitioning of intricate robotic tasks, executed collaboratively across cloud, edge, and device resources. In this landscape, deep neural network (DNN) models play a pivotal role in facilitating a wide array of robotic tasks. The inference time for each layer of a DNN model in actual deployment, emerges as a critical determinant in the model's partitioning strategy. It also serves as an important metric influencing the model's suitability for a specific hardware platform. This article presents an overview of recent advancements in predicting inference and training time of DNN models, summarizes the related methods, and finally discusses the challenges in this field and the research that can be studied in the future. © 2023 IEEE.

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Design and Control of the Biped Robot HTY 16th

Design and Control of the Biped Robot HTY

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16th International Conference on Intelligent robotics and Applications, ICIRA 2023

作者： Liu, Yun Weng, Jiawei Wang, Fan Tang, Jingge Yao, Yunchang Chen, Xingyu Kong, Lingyu Liang, Dingkun Wang, Xin Zhu, Shiqiang Chen, Yuanjie Xie, Anhuan Gu, Jason Research Center for Intelligent Robotics Research Institute of Interdisciplinary Innovation Zhejiang Lab Hangzhou China Zhejiang Engineering Research Center for Intelligent Robotics Hangzhou China Department of Electrical Engineering Dalhousie University HalifaxNS Canada Zhejiang Institute of Metrology Hangzhou China

ISBN: (纸本)9789819964918

This paper presents the development of the bipedal robot platform, HTY, which is designed for operation in dangerous and unknown environments, with the ability to move in complex environments. The robot is equipped with a simple joint and structure layout to ensure a wide range of joint movements and has the ability to perceive the status of its foot. The modular design and scalability requirements are also met. The HTY bipedal robot has a total of 12 degrees of freedom, a height of 119 cm, and a weight of 54 kg. The developed motion planning and control framework is tested on both the Gazebo simulation platform and the physical robot, achieving stable walking. This paper mainly introduces the design concept and basic specifications of the robot. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd 2023.

关键词： State feedback

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Coordinated Operation of Electrified Transportation Networks Considering Road Capacity Drop

Coordinated Operation of Electrified Transportation Networks...

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2024 IEEE PES Innovative Smart Grid Technologies Europe Conference, ISGT EUROPE 2024

作者： Cui, Xin Hou, Yunhe Liang, Liang Department of Electrical and Electronic Engineering The University of Hong Kong Hong Kong Hku Shenzhen Institute of Research and Innovation Shenzhen China Harbin Institute of Technology School of Mechanical Engineering and Automation Shenzhen China

ISBN: (纸本)9789531842976

This paper proposes an optimal transportation-power flow (OTPF) model to manage electrified transportation networks (ETNs) with dynamic wireless charging (DWC) facilities. The transportation network (TN) model, considering the road capacity drop, is adopted for traffic flow assignment. The Distflow model is used to calculate the power flow in the power distribution network (PDN). Energy storage systems (ESSs) and flexible loads (FLs) are integrated into the coordinated operation of ETNs to enhance the economy and security of the system. To address fluctuations and variations in renewable energy generation, model predictive control (MPC) is adopted. The proposed MPC-based OTPF model is formulated as a nonlinear and non-convex problem. To obtain the global optimal solution, it is further transformed into a mixed-integer second-order cone programming (MISOCP) problem by using second-order cone (SOC) relaxation, piecewise linearization, and the Big-M method. Case studies verify the significant influence of road capacity drop on the operation of ETNs. © 2024 IEEE.

关键词： Piecewise linear techniques

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Effect of Layer Thickness on Marginal Gap of Zirconia Crowns Manufactured Using Additive Manufacturing with Top-Down Approach

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Korean Journal of Chemical engineering 2025年第5期42卷 1143-1147页

作者： Lee, Sang-Kyu Park, Chan Jo, Kwang-Ho Choi, Sang-Hyun Lee, Hyein Jang, Kyoung-Jun Yu, Taekyung Department of Chemical Engineering College of Engineering Integrated Engineering Major Kyung Hee University Yongin17140 Korea Republic of Research Institute 3D Controls Co Busan46721 Korea Republic of Department of Prosthodontics School of Dentistry Chonnam National University Gwangju61186 Korea Republic of School of Robotics and Automation Engineering Dongyang Mirae University Seoul08221 Korea Republic of

For efficient 3D printing, fast printing (thick print layers) is necessary;however, in ceramic 3D printing, which involves printing heavy materials, changes in print speed can significantly affect precision. This study compares and analyzes the marginal fit of zirconia crowns produced with different layer thicknesses using a top-down additive manufacturing process. The results for a layer thickness of 50 μm showed lower fit in areas opposite the support compared to the results for layer thicknesses of 10 and 25 μm. It is believed that during very fast printing, the load applied during printing cannot be sustained. These findings can be used as important information for future printing of zirconia prostheses. © The Author(s), under exclusive licence to Korean institute of Chemical Engineers, Seoul, Korea 2025.

关键词： Ceramic materials

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Component uncertainty importance measure in complex multi-state system considering epistemic uncertainties

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Chinese Journal of Aeronautics 2024年第12期37卷 31-54页

作者： Rentong CHEN Shaoping WANG Chao ZHANG Hongyan DUI Yuwei ZHANG Yadong ZHANG Yang LI School of Automation Science and Electrical Engineering Beihang UniversityBeijing 100191China Department of Energy Politecnico di MilanoMilano 20156Italy Research Institute of Frontier Science Beihang UniversityBeijing 100191China Ningbo Institute of Technology Beihang UniversityNingbo 315800China School of Management Zhengzhou UniversityZhengzhou 450001China

Importance measures can be used to identify the vulnerable components in an aviation system at the early design ***,due to lack of knowledge or less available information on the component or system,the epistemic uncertainties may be one of the challenging issues in importance *** addition,the properties of the aircraft system,which are the fundamentals of the component importance measure,including the hierarchy,dependency,randomness,and uncertainty,should be taken into *** solve these problems,this paper proposes the component Uncertainty Integrated Importance Measure(component UIIM)which considers multiple epistemic uncertainties in the complex multi-state *** degradation process for the components is described by a Markov model,and the system reliability model is developed using the Markov hierarchal evidential *** concept of integrated importance measure is then extended into component UIIM to evaluate the component criticality rather than the component state change criticality,from the perspective of system performance.A case study on displacement compensation hydraulic system is presented to show the effectiveness of the proposed uncertainty importance *** results show that the component UIIM can be an effective method for evaluating the component criticality from system performance perspective at the system early design.

关键词： Importance measure Epistemic uncertainty Multi-state system Evidence theory Markov hierarchal evidential network

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