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ieee-cyber 2024 conference Program

IEEE-Cyber 2024 Conference Program

引用

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

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cyber Attack Estimation for intelligent Connected Vehicle 19

Cyber Attack Estimation for Intelligent Connected Vehicle

引用

ieee 19th conference on Industrial Electronics and Applications (ICIEA)

作者： Song, Yanzhen Pan, Juntao Yang, Weixin Bian, Xiangyuan Zhang, Xueyuan Gao, Xulang North Minzu Univ Sch Elect & Informat Engn Yinchuan Ningxia Peoples R China

ISBN: (纸本)9798350360875;9798350360868

Detecting the cyber-attacks in intelligent connected vehicle systems (ICVS) precisely is essential for ensuring the personal security and normal communication of ICVS. This paper gives a solution to estimate cyber-attacks for ICVS. A distinctive approach is represented to take advantage of an augmented states technique of ICVS. What's more, a nonlinear fuzzy unknown input observer (FUIO) to estimate dynamics asymptotically of ICVS that is under cyber attacks is proposed. For the FUIO design, the dynamics model ICVS can be written in the particular Takagi-Sugeno (TS) fuzzy model in the form of nonlinear consequence. Particularly, the application of TS theory enables the implement of differential mean value theorem (DMVT), which attaches great importance to the simplification of perplexing premise variables that are unmeasured. Furthermore, a linear matrix inequalities is given by exploiting TS theory, which can not only satisfy the sufficient conditions of FUIO designing, but also be easily solved by a series of techniques such as convex optimization. The simulation figures demonstrate great effectiveness of the formulated FUIO design.

关键词： intelligent connected vehicle unmeasured premise variables cyber-attacks vehicle dynamics estimation unknown input observers N-TS fuzzy models

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SBS-FD: Fault Diagnosis of Harmonic Reducers Based on Symmetrized Dot Pattern, Bag of Visual Word, and Support Vector Machine Jointed Method 13

SBS-FD: Fault Diagnosis of Harmonic Reducers Based on Symmet...

引用

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

作者： Han, Xinming Long, Zhuo Ma, Xiaoguang Jia, Jie Chen, Wenjie Lin, Wenjie School of Computer Science and Engineering Northeastern University Shenyang110167 China School of Electrical and Information Engineering Changsha University of Science and Technology Changsha410076 China Foshan Graduate School Northeastern University Foshan528000 China College of Information and Engineering Northeastern University Shenyang110819 China Midea Group Lancheng Lab Foshan528000 China Guangdong Jiya Precision Machinery Technology Co. Ltd Foshan528000 China

ISBN: (纸本)9798350315196

In order to realize fault diagnosis of harmonic reducers in real industrial scenarios, a fault diagnosis method based on image visual information, i.e., SBS-FD is proposed. Firstly, Symmetrized Dot Pattern images are obtained based on vibration signals, and Scale Invariant Feature Transform method is used to extract image information, wherein the mappings between fault signals and visual information are achieved. Then the bag of visual word and space pyramid matching method are used to process the visual information. Finally, the support vector machine is used for fault diagnosis. Comprehensive experimental results show that the diagnostic accuracy of four fault states can be up to 98% at all speeds, using proposed SBS-FD method, illustrating superior performance over other machine learning methods. © 2023 ieee.

关键词： Failure analysis

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Prostate MRI/TRUS Image Registration Algorithm Based on Weak Supervision 13

Prostate MRI/TRUS Image Registration Algorithm Based on Weak...

引用

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

作者： Du, Yu Liu, Dong Wang, Long Huang, Yibin Pan, Dehua Cong, Ming Dalian Jiaotong University Dalian116025 China Dalian University of Technology Dalian116024 China

ISBN: (纸本)9798350315196

Prostate cancer is an important global public health issue, being the second most prevalent male cancer worldwide. With the popularization of medical imaging equipment and the improvement of imaging level, prostate histopathological image analysis has become an important technical means of cancer diagnosis and treatment. In this paper, a new prostate 3D MRI(Magnetic Resonance Imaging) and TRUS(Transrectal Ultrasonography) registration cascade network is proposed. The network consists of three sub-networks, including affine registration sub-network (A-Net), deformable sub-network (D-Net and SD-Net). All subnetworks are trained with weak supervision to avoid problems such as difficulty in obtaining Ground Truth and determining similarity measure. The network uses a convolutional module with fusion residual connection, dense connection and depth separability, which is conducive to multi-scale feature extraction and fusion. Various attention mechanisms are integrated into the network to enhance training efficiency and ensure accurate registration. Experimental results on The Cancer Imaging Archive (TCIA) dataset demonstrate that the proposed method outperforms existing techniques, effectively fusing MRI and TRUS images for guiding prostate puncture surgery. TRE is 1.61±0.862mm, DSC is 0.912±0.037, and the average error of the final image fusion guided prostate puncture is 2.14±0.27mm. These results affirm the clinical significance and practical value of the designed medical image registration network for image-guided biopsies. © 2023 ieee.

关键词： Magnetic resonance imaging

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Object Fingerprinting-Based Environment Model for Service Robots: Task-Oriented Modeling Approach 13

Object Fingerprinting-Based Environment Model for Service Ro...

引用

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

作者： Bi, Wenfu Yin, Maoliang Ren, Weina Zhao, Guanglei Zhang, Ying Hua, Changchun School of Electrical Engineering The Key Laboratory of Intelligent Rehabilitation and Neuromodulation of Hebei Province Yanshan University Qinhuangdao066004 China Shandong Labor Vocational and Technical College Department of Electrical and Automation Jinan250022 China

ISBN: (纸本)9798350315196

This paper investigates a task-oriented environment modeling approach for service robots to bridge the gap between environment models and robotic task execution. Specifically, a novel environment modeling approach based on object fingerprinting is proposed to build an environment model with rich task-related object knowledge. Different from the existing model, the established model not only contains fingerprint information such as categories and attributes of task-related objects, but also contains a knowledge base for reasoning and updating stored objects. In order to enable service robots to quickly locate task-related objects in challenge scenarios, an inference mechanism based on timestamps and object distances is designed. Our proposal is extremely evaluated in real-world scenarios. Experimental results demonstrate the effectiveness and feasibility of the proposed approach, the constructed model is able to support the robot to accurately reason and locate the target objects in the occluded scenario. © 2023 ieee.

关键词： Mobile robots

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A Lightweight Multi-mapping Image Encryption Algorithm for Networked Visual control systems 8th

A Lightweight Multi-mapping Image Encryption Algorithm for ...

引用

8th international conference on Life System Modeling and Simulation, LSMS 2024 and 8th international conference on intelligent Computing for Sustainable Energy and Environment, ICSEE 2024

作者： Xu, Junyang Du, Dajun Zhang, Yi Zhou, Huiyu Shanghai Key Laboratory of Power Station Automation Technology School of Mechanical Engineering and Automation Shanghai University Shanghai200072 China

ISBN: (纸本)9789819601875

Networked visual control systems (NVCSs) can run stably based on the authentic and real-time images, but these images are easily vulnerable to cyber attacks during transmission. To solve this problem, this paper proposes a lightweight multi-mapping image encryption algorithm for NVCSs. First, a nearest neighbor interpolation is used to scale the image, and a region of interest (ROI) is employed to crop the image, which will reduce the amount of image data to satisfy real-time requirement. Second, a hybrid chaotic map based on Logistic and Tent functions is proposed to diffuse image pixels, and an improved Fisher-Yates shuffling is used to scramble image pixels, which makes the attackers harder crack the image to enhance image security. Finally, experimental results confirm the feasibility and effectiveness of the proposed algorithm. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Networked control systems

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Data Security Transmission and Privacy Protection Scheme for Industrial Internet of Things 2

Data Security Transmission and Privacy Protection Scheme for...

引用

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

作者： Tong, Weiming Yang, Luyao Li, Zhongwei Zhao, Jinxiao Pan, Feng Tan, Liguo Harbin Institute of Technology Laboratory for Space Environment and Physical Sciences Harbin China Harbin Yulong Automation Co. Ltd. Harbin China School of Electrical Engineering and Automation Harbin Institute of Technology Harbin China

ISBN: (纸本)9798350373318

With the rapid development of the Industrial Internet of Things, a vast amount of data generates, collects, and processes, playing a crucial role in industrial production and operations. Addressing issues of privacy leakage, identity forgery, and data security during data transmission in IIoT, this paper proposes a data security transmission and privacy protection scheme based on blockchain technology. The scheme employs zero-knowledge proof algorithms for identity authentication of terminal devices to ensure the privacy of device information is not compromised, effectively preventing identity forgery and attacks. Additionally, it uses attribute-based encryption to secure the data's confidentiality. To ensure efficient data storage and the security of encryption keys, the scheme utilizes IPFS for on-chain querying and off-chain storage of data. The security of the proposed scheme is analyzed theoretically, and its computational overhead is evaluated experimentally. The results show that this scheme has lower computational overhead compared to other schemes, while significantly enhancing security and reliability. © 2024 ieee.

关键词： Differential privacy

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A Hand-Eye Calibration Method for Skin in Situ Printing Based on Feature Point Extraction by Point Cloud Segmentation 13

A Hand-Eye Calibration Method for Skin in Situ Printing Base...

引用

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

作者： Zhu, Runyang Li, Song Gao, Feiyang Li, Wentao Zhu, Huixuan School of Automation and Electrical Engineering Shenyang Ligong University Shenyang110159 China Shenyang Institute of Automation State Key Laboratory of Robotics Chinese Academy of Sciences Shenyang110016 China University of Chinese Academy of Sciences Beijing100049 China Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences Shenyang110169 China

ISBN: (纸本)9798350315196

Skin burn treatment is an urgent problem in the clinic. Skin in situ printing technology was expected to treat skin burns with accurate in situ construction of skin tissue. The first step in the skin in situ printing is to calibrate the hand-eye of the printhead and scanner. However, the accuracy of the existing industrial hand-eye calibration methods is difficult to be applied to the treatment of burned skin. According to the high precision requirement of skin in situ printing, a hand-eye calibration method based on point cloud segmentation feature point extraction is proposed in this paper. Firstly, the statistical filtering method, cluster segmentation method, and RANSAC method are used to remove noise points, plane fitting, and feature point extraction for the scanned point clouds. Then, the feature points processed by the point cloud were matched with the feature points in the coordinate system of the three-dimensional measurement platform and the rotation translation matrix between the coordinate system of the three-dimensional printing platform. The coordinate system of the binocular laser three-dimensional scanner was obtained by the singular value decomposition method. Finally, the wrong cloud data is removed in turn. The hand-eye calibration experimental results show that compared with the method without feature point extraction by point cloud segmentation, the proposed method reduces the average distance and maximum error of the XYZ axis by 78.477% and 82.301%, respectively. Compared with other hand-eye calibration methods, the average distance error is increased from 0.060mm to 0.040mm. It is proved that the hand-eye calibration based on feature point extraction by point cloud segmentation can meet the needs of skin in situ printing, which makes preparation for subsequent skin in situ printing experiments and makes it possible to treat skin burns in situ clinically. © 2023 ieee.

关键词： Singular value decomposition

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Visual-Inertial and Leg Odometry Fusion for Dynamic Locomotion

Visual-Inertial and Leg Odometry Fusion for Dynamic Locomoti...

引用

ieee international conference on Robotics and automation (ICRA)

作者： Dhedin, Victor Li, Haolong Khorshidi, Shahram Mack, Lukas Ravi, Adithya Kumar Chinnakkonda Meduri, Avadesh Shah, Paarth Grimminger, Felix Righetti, Ludovic Khadiv, Majid Stueckler, Joerg Max Planck Inst Intelligent Syst Embodied Vis Grp Tubingen Germany Max Planck Inst Intelligent Syst Movement Generat & Control Grp Tubingen Germany NYU Tandon Sch Engn New York NY 10003 USA Univ Oxford Oxford Robot Inst Oxford England Max Planck Inst Intelligent Syst Autonomous Mot Dept Tubingen Germany

ISBN: (纸本)9798350323658

Implementing dynamic locomotion behaviors on legged robots requires a high-quality state estimation module. Especially when the motion includes flight phases, state-of-the-art approaches fail to produce reliable estimation of the robot posture, in particular base height. In this paper, we propose a novel approach for combining visual-inertial odometry (VIO) with leg odometry in an extended Kalman filter (EKF) based state estimator. The VIO module uses a stereo camera and IMU to yield low-drift 3D position and yaw orientation and drift-free pitch and roll orientation of the robot base link in the inertial frame. However, these values have a considerable amount of latency due to image processing and optimization, while the rate of update is quite low which is not suitable for low-level control. To reduce the latency, we predict the VIO state estimate at the rate of the IMU measurements of the VIO sensor. The EKF module uses the base pose and linear velocity predicted by VIO, fuses them further with a second high-rate IMU and leg odometry measurements, and produces robot state estimates with a high frequency and small latency suitable for control. We integrate this lightweight estimation framework with a nonlinear model predictive controller and show successful implementation of a set of agile locomotion behaviors, including trotting and jumping at varying horizontal speeds, on a torque-controlled quadruped robot.

关键词： Extended Kalman filters

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Scalable Client-Server Home automation over Wireless Networks

Scalable Client-Server Home Automation over Wireless Network...

引用

2024 international conference on intelligent systems for cybersecurity, ISCS 2024

作者： Jagtap, Shashank Shirke, Shubham Shinde, Rutika Sonkusare, Reena Weakey, Sneha A. Sardar Patel Institute of Technology Electronics and Telecommunication Department Mumbai India

ISBN: (纸本)9798350375237

The paper 'Scalable Client-Server Lamp automation & Monitoring Over Wireless Networks' introduces an advanced lamp control system. By combining modern wireless networks, smart presence sensors, and a strong client-server setup, this system not only controls lamps but also monitors data comprehensively. Going beyond basic on/off IOT functions, it allows detailed lamp control and insightful analysis of usage patterns. This project aims to redefine how lamps are automated, providing a flexible and connected setup. The paper explains the system's design, technical details, and practical applications, highlighting its adaptability in various settings. Its importance lies in making things easier, and more efficient, and embracing new technology. This effort aims to set higher standards in lamp automation, contributing to the development of smarter, more connected Iiving spaces. © 2024 ieee.

关键词： automation

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