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35th IEEE International Symposium on Software Reliability engineering Workshops, ISSREW 2024

作者： Xing, Ying Huang, Jiaqi Wang, Guilong You, Yehao Yang, Bin Li, Xiaofeng Luo, Yixing Beijing University of Posts and Telecommunications School of Intelligent Engineering and Automation Beijing China Beijing University of Posts and Telecommunications School of Artifcial Intelligence Beijing China Yunnan Key Laboratory of Software Engineering Yunnan China China Unicom Research Institute Beijing China Beijing Institute of Control Engineering Software Development Center Beijing China

ISBN: (纸本)9798350367041

In recent years, the number of software vulnerabilities has gradually increased, posing a threat to the security of software, and identifying whether there are vulnerabilities in software is crucial for assuring its quality. With the development of deep learning, vulnerability detection based on deep learning has achieved good results. However, real-world software vulnerability datasets often suffer from class imbalance and a lack of labeled data, limiting the performance of deep learning models. Therefore, this paper proposes a data augmentation method to alleviate these two problems. Firstly, we treats samples with vulnerabilities in the dataset as code, and generates more samples with vulnerabilities through code refactoring to alleviate class imbalance issues. Secondly, we use the mixup method to perform linear interpolation on the embedding vectors which represent codes, and add the interpolated vectors into the training set, thereby increasing the amount of labeled training data. To evaluate our method, we conducted experiments on three projects of the Promise dataset. The experimental results show that our data augmentation method can effectively improve the effect of vulnerability detection. © 2024 IEEE.

关键词： Adversarial machine learning

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LiDAR Point Cloud Map Coding Framework Based on Quadric Surface Fitting and Scene Construction 5

LiDAR Point Cloud Map Coding Framework Based on Quadric Surf...

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5th IEEE International Conference on Pattern Recognition and Machine Learning, PRML 2024

作者： Sun, Xuebin Wang, Jinxi Yang, Xiaofei School of Electrical Automation and Information Engineering Tianjin University Tianjin China School of Information and Control Engineering China University of Mining and Technology Xuzhou China Shanghai Institute of Optics and Fine Mechanics Department of Aerospace Laser Technology and System Shanghai China

ISBN: (纸本)9798350355925

Due to rapid 3D acquisition advancements, LiDAR point clouds are prevalent in emerging applications like heritage preservation, mobile robotics, and remote sensing. Yet, the sheer data volume poses challenges for transmission and storage, especially in autonomous driving. This paper introduces an efficient coding framework for compressing large dense LiDAR point cloud maps. By recording timestamps and quaternion matrices during map construction, we reduce map compression to sequence compression. The scans are segregated into intra-frames and inter-frames. For intra-frames, a quadric surface fitting intra-prediction technique eliminates spatial redundancy. For inter-frames, by constructing the 3D scene using encoded intra-frames, the inter-frame can be simulated according to its posture and LiDAR intrinsic parameters. Coding focuses on the difference between actual and predicted point cloud data. Decoding reverses this process, reconstructing the point cloud map from the decoded sequence and quaternion matrices. KITTI dataset experiments show the point cloud map can be averagely compressed to 3.43% of its original size while maintaining centimeter-level precision. This outperforms both octree and Google Draco methods. © 2024 IEEE.

关键词： Mobile robots

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Optimizing Maximum Profit for Electric Vehicle Users in a Bipolar DC Distribution Grid with Probabilistic EV Load Demand and V2G Integration 12

Optimizing Maximum Profit for Electric Vehicle Users in a Bi...

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12th International Electrical engineering Congress, iEECON 2024

作者： Sakulphaisan, Guntinan Son-In, Sirirat Junhuathon, Nitikorn Pathumwan Institute Of Technology Industrial Technology And Innovation Management Faculty Of Science And Technology Bangkok Thailand Bansomdejchaopraya Rajabhat University Electrical Engineering And Automation Control Systems Faculty Of Engineering And Industrial Technology Bangkok Thailand Rajamangala University Of Technology Thanyaburi Faculty Of Engineering Department Of Electrical Engineering Pathumthani Thailand

ISBN: (纸本)9798350383591

This article delves into the synergistic potential of integrating Bipolar DC distribution grids, Probabilistic EV load demand forecasting, and Vehicle-to-Grid (V2G) technology. It offers a blueprint for electric vehicle (EV) users to smartly improve their financial results. Through the amalgamation of these components, individuals who possess electric vehicles have the potential to mitigate their energy expenditures while concurrently generating additional income. The study reveals that the integration of EV into the distribution system can lead to a substantial increase in daily energy loss, reaching up to 25.91%. However, when V2G technology is employed within the distribution grid, it has the remarkable capability to mitigate this increase in daily energy loss significantly, achieving a reduction of up to 64.12%. © 2024 IEEE.

关键词： Integration

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NBA-guided heuristic sampling algorithm for multi-robot task planning under temporal logic 43

NBA-guided heuristic sampling algorithm for multi-robot task...

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43rd Chinese control Conference, CCC 2024

作者： Luo, Jiong Hua, Yongzhao Ding, Shunfu Dong, Xiwang Ren, Zhang Beihang University School of Automation Science and Electrical Engineering Science and Technology on Aircraft Control Laboratory Beijing100191 China Institute of Artificial Intelligence Beihang University Beijing100191 China Institute of Unmanned System Beihang University Beijing100191 China

ISBN: (纸本)9789887581581

Aiming at the task planning problem of multi-robot under linear temporal logic (LTL), this paper proposes an improved sampling planning algorithm based on Nondeterministic Büchi automaton (NBA) guidance. Firstly, this paper defines a kind of LTL task planning problem, which mainly focuses on the meaningful key nodes in the task execution of each robot, and there are many sequential dependencies of task constraints. Then, an improved sampling algorithm framework is proposed, which uses a more efficient way to build a search tree and reduces the number of nodes in the tree. Furthermore, the sampling points are guided by NBA to ensure that sampling is conducive to the advancement of time-series tasks. And considering the task feasible region of each robot, the auction algorithm is introduced to optimize the local matching relationship, which greatly improves the quality of sampling points. Finally, numerical simulation is carried out to solve the LTL task planning problem. The optimality and stability of the algorithm are obviously improved, and the time consumption of this algorithm is obviously better than that of the existing advanced algorithms. © 2024 Technical Committee on control Theory, Chinese Association of automation.

关键词： Trees (mathematics)

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Component-Level Electromechanical Coupled Modeling of Spacecraft control Moment Gyroscope

Component-Level Electromechanical Coupled Modeling of Spacec...

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Advanced Algorithms and control engineering (ICAACE), International Conference on

作者： Lingkun Kong Jinsong Yu Limei Tian Qiang Zhang Ming Lu School of Automation Science and Electrical Engineering Beihang University Beijing China Beijing Institute of Control Engineering Beijing China

ISBN: (数字)9798331535087

ISBN: (纸本)9798331535094

control moment gyroscopes (CMGs) serve as critical actuators in spacecraft, and modeling of CMGs is vital for health monitoring and fault diagnosis. This paper presents a component-level electromechanical coupling modeling approach for CMGs, which simultaneously considers the mechanical kinematics and electrical characteristics of key CMG components. Firstly, the rotational speed control of brushless DC motors and permanent magnet synchronous motors is modeled to develop an electrical signal model for the high-speed rotor and gimbal assembly of the CMG. Secondly, a coupled mechanical dynamics model is constructed by analyzing the gyroscopic torque effect and calculating the bearing friction torque. Relevant degradation parameters are introduced to simulate potential degradation during CMG operation. Simulation experiments and case analyses demonstrate the high fidelity of the proposed model.

关键词： Degradation Couplings Space vehicles Electric potential Torque Velocity control Rotors Permanent magnet motors Gyroscopes Monitoring

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Time of flight improved thermally grown oxide thickness measurement with terahertz spectroscopy

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Frontiers of Mechanical engineering 2022年第4期17卷 205-215页

作者： Zhenghao ZHANG Yi HUANG Shuncong ZHONG Tingling LIN Yujie ZHONG Qiuming ZENG Walter NSENGIYUMVA Yingjie YU Zhike PENG Fujian Provincial Key Laboratory of Terahertz Functional Devices and Intelligent Sensing School of Mechanical Engineering and AutomationFuzhou UniversityFuzhou 350108China Institute of Precision Instrument and Intelligent Measurement&Control Fuzhou UniversityFuzhou 350108China School of Mechatronic Engineering and Automation Shanghai UniversityShanghai 200072China School of Mechanical Engineering Ningxia UniversityYinchuan 750000China

As a nondestructive testing technique,terahertz time-domain spectroscopy technology is commonly used to measure the thickness of ceramic coat in thermal barrier coatings(TBCs).However,the invisibility of ceramic/thermally grown oxide(TGO)reflective wave leads to the measurement failure of natural growth TGO whose thickness is below 10μm in *** detect and monitor TGO in the emergence stage,a time of flight(TOF)improved TGO thickness measurement method is proposed.A simulative investigation on propagation characteristics of terahertz shows the linear relationship between TGO thickness and phase shift of feature *** accurate TOF increment could be acquired from wavelet soft threshold and cross-correlation function with negative effect reduction of environmental noise and system ***,the TGO thickness could be obtained efficiently from the TOF increment of the monitor area with different heating *** averaged error of 1.61μm in experimental results demonstrates the highly accurate and robust measurement of the proposed method,making it attractive for condition monitoring and life prediction of TBCs.

关键词： thermal barrier coatings thermally grown oxide terahertz spectroscopy time of flight

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Adaptive dynamic programming approach for Stackelberg game-based fault-tolerant control 6

Adaptive dynamic programming approach for Stackelberg game-b...

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6th International Symposium on Autonomous Systems, ISAS 2023

作者： Xu, Yuhang Jiang, Bin Meng, Yizhen Nanjing University of Aeronautics and Astronautics College of Automation Engineering Nanjing210016 China Shanghai Aerospace Control Technology Institute Shanghai201109 China Shanghai Key Laboratory of Aerospace Intelligent Control Technology Shanghai201109 China

ISBN: (纸本)9798350316155

Game-based fault-tolerant control is one of the critical aspects in modern control system, and it becomes more challenging for large-scale interconnected systems. In this article, an adaptive dynamic programming (ADP) approach is established for solving the Stackelberg game-based fault-tolerant control problem of the interconnected systems. Two critic neural networks are constructed for approximating the solutions of Stackelberg equilibrium, in which a group of adaptive weight updating laws are proposed to ensure the uniform ultimate bounded property of the systems' state as well as the weights of the critic neural networks. The outcomes of the simulations exhibit the efficacy of the designed approach. © 2023 IEEE.

关键词： Dynamic programming

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Federated Intelligence for Intelligent Vehicles

IEEE Transactions on Intelligent Vehicles

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IEEE Transactions on Intelligent Vehicles 2024年第5期9卷 1-5页

作者： Zhang, Weishan Zhang, Baoyu Jia, Xiaofeng Qi, Hongwei Qin, Rui Li, Juanjuan Tian, Yonglin Liang, Xiaolong Wang, Fei-Yue School of China University of Petroleum Qingdao China Department of Data Management Big Data Centre Beijing Beijing China Technology Company Beijing China State Key Laboratory of Multimodal Artificial Intelligence Systems Institute of Automation Chinese Academy of Sciences Beijing China Faculty of Innovation Engineering Macau University of Science and Technology Macao China State Key Laboratory for Management and Control of Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China

This letter is a brief summary of a series of IEEE TIV's decentralized and hybrid workshops (DHWs) on Federated Intelligence for Intelligent Vehicles. The discussed results are: 1) Different scales of large models (LMs) can be federated and deployed on IVs, and three types of federated collaboration between large and small models can be adopted for IVs. 2) Federated fine-tuning of LMs is beneficial for IVs data security. 3) The sustainability of IVs can be improved through optimizing existing models and continuous learning using federated intelligence. 4) LM-enhanced knowledge can make IVs smarter. IEEE

关键词： Intelligent vehicle highway systems

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Research on BDS Train Location Based on HMM Map Matching Algorithm 4

Research on BDS Train Location Based on HMM Map Matching Alg...

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4th International Conference on Mechatronics Technology and Intelligent Manufacturing, ICMTIM 2023

作者： Bai, Xue Wang, Ruifeng He, Tao Lanzhou Jiaotong University School of Automation and Electrical Engineering Gansu Lanzhou730070 China Lanzhou Jiaotong University Automatic Control Research Institute Gansu Lanzhou730070 China

ISBN: (纸本)9798350314434

Aiming at the problems of traditional BDS/INS integrated navigation that affect the accuracy of train positionings, such as satellite reception signal loss and inertial navigation error accumulation over time, a hidden Markov model based on the train integrated positioning method is proposed. Firstly, establish a hidden Markov chain model using the geometric data and topological matrix of railway line nodes. Secondly, using the original positioning data as a sequence of observations, the output matrix and state transition matrix are calculated to match the orbital electronic map. Finally, the Viterbi algorithm obtains the optimal line link sequence for train trajectory matching and positioning. The simulation results show that the average position error of the train during operation is within 2m, which is smaller than using the BDS/INS combination positioning method directly. The positioning trajectory is continuous, and this algorithm can accurately predict the train's running trajectory, improving the accuracy and accuracy of train positioning. © 2023 IEEE.

关键词： Viterbi algorithm

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Motion Dynamics RRT Algorithm for Optimal TF /TA Routing Planning 49

Motion Dynamics RRT Algorithm for Optimal TF /TA Routing Pla...

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

作者： Zu, Zhaozi Qu, Zhongjun Suo, Wenbo Chen, Guanjie Han, Mingrui Xue, Rongkun Research Institute Avic Xi'an Flight Automatic Control Shaanxi Xi'an710076 China School of Automation Science and Engineering Xi'an Jiaotong University Shaanxi Xi'an710049 China

ISBN: (纸本)9798350331820

The existing route planning algorithms are directly applied to the remote text{TF}/text{TA} route planning of large and medium-sized fixed wing aircraft, and cannot simultaneously meet the requirements of efficiency, route consistency, and optimality. To deal with the problem, a motion dynamics RRT * algorithm is proposed. Firstly, the characteristic of ellipses is utilized to effectively reduce the planning space in order to improve search efficiency;Next, in order to reduce the randomness of the RRT algorithm, a motion dynamics model of the aircraft is established and the state transition mode of nodes based on this model is designed;Finally, a cost function was designed to penalize the detour distance, climb altitude, and unsafe flight path. The experimental results on real DEM data show that the proposed algorithm can simultaneously meet the requirements of high efficiency, route consistency, and optimality for long-distance TF/TA route planning of large and medium-sized fixed wing aircraft. © 2023 IEEE.

关键词： Fixed wings

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