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5th International Conference on Energy, Electrical and Power Engineering, CEEPE 2022

作者： Zhang, Yingfan Wang, Haohuan Yang, Senyuan Huang, Zhengyong Chongqing University State Key Lab of Power Transmission Equipment System Security and New Technology School of Electrical Engineering Chongqing China

ISBN: (纸本)9781665479059

The current DLP 3D printing resins have poor mechanical properties and are not recyclable. In this study, the hybrid of epoxy resin, polysulfide rubber, soybean-oil-based acrylates, and 3D printing resin is prepared to achieve high mechanical performance and recovery of 3D printing via dual curing. 1,5,7-triazabicyclo [4.4.0] dec-5-ene is added to the matrix material to enable transesterification in the network. The break and formation of disulfide bonds at high temperatures synergistically promote the transesterification reaction. The resultant resin has a tensile strength of 83 MPa and flexural strength of 129 MPa, which are much greater than the current DLP 3D printing resin. The resultant resin can degrade insolvent with a recovery rate of 98% after 8 days. The recyclable 3D printing material with high-performance shows a promising application in the green manufacturing engineering field. © 2022 IEEE.

关键词： Insulated gate bipolar transistors Power engineering Insulation Green manufacturing Three-dimensional displays Epoxy resins Three-dimensional printing

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Partial Discharge Characteristics of Electrical Aircraft Machine Winding after Thermal Aging

Partial Discharge Characteristics of Electrical Aircraft Mac...

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2022 IEEE International Conference on High Voltage Engineering and Applications, ICHVE 2022

作者： Wang, Yuming Pan, Jianyu Tang, Haibo He, Yushuang Wang, Qinglin School of Electrical Engineering Chongqing University State Key Lab of Power Transmission Equipment & System Security and New Technology Chongqing China

ISBN: (数字)9781665407502

ISBN: (纸本)9781665407502

Electric machines for civil aircraft must have high reliability. However, the harsh operating environment will challenge the machines' insulation system. For electric machines in aircraft, thermal aging is the main reason for insulation deterioration and result in the failure of the electrical machine. Partial discharge (PD) is an essential indicator in evaluating the insulation damage. This paper aims to clarify the PD characteristics of the machine winding before and after thermal aging for aircrafts. It firstly established a thermal aging platform and used a PD measurement circuit to study the behavior of the PD inception voltage (PDIV), phase-resolved PD (PRPD), and PD magnitude before and after thermal aging. The insulation capacitance (IC) of machine windings with different aging stages is also tested and compared with PD characteristics. Results show that thermal aging will decrease the PDIV of winding insulation and PD magnitude increases exponentially after thermal aging. © 2022 IEEE.

关键词： Capacitance

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Comparative Analysis of Monostatic and Bistatic RCS Scattering Characteristics for Corner Reflector

Comparative Analysis of Monostatic and Bistatic RCS Scatteri...

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2022 International Applied Computational Electromagnetics Society Symposium, ACES-China 2022

作者： Qiu, Mengqi Ai, Xiaofeng Xu, Zhiming Zhao, Feng National University of Defense Technology State Key Lab. of Complex Electromagnetic Environment Effects on Electronics and Information System Changsha China

ISBN: (纸本)9781665452366

The radar corner reflector stands as a typical passive jamming decoy in electronic countermeasures, which presents distinctive Radar Cross Section (RCS) features in monostatic or bistatic radar owing to its particular geometric structure. In this paper, the monostatic and bistatic RCS characteristics of a single octahedral corner reflector and octahedral corner reflector array are analyzed. The impact of different bistatic base angles on the RCS area of the corner reflector is also studied by contrasting the main lobe width and statistical parameters of the RCS, which provides theoretical analysis and data support for the effective identification of targets and corner reflector decoys. © 2022 IEEE.

关键词： Radar cross section

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A Radar Emitter Fingerprint Feature Resistant to Receiver Distortion 5

A Radar Emitter Fingerprint Feature Resistant to Receiver Di...

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5th IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference, IMCEC 2022

作者： Liu, Zhao Liu, Zheng Ruan, Guangxin National University of Defense Technology State Key Lab. of Complex Electromagnetic Environment Effects on Electronics and Information System Changsha China

ISBN: (纸本)9781665479677

In radar specific emitter identification, the non-cooperative receiver itself has fingerprint features similar to the emitter, and the fingerprint features extracted at the receiver are coupled of the two, which limited cross-receiver radar specific emitter identification. To solve this problem, a new fingerprint feature is constructed in this paper, which takes the absolute value of the forward quotient of the neighboring points of the pulse signal spectrum as the emitter feature, weakens the receiver distortion interference by improving the frequency resolution and can be quickly extracted by the Chirp-Z transform. Simulation experiments show that the proposed features can effectively overcome the fingerprint feature shift caused by receiver distortion, have good intra-class aggregation and inter-class differentiability, and achieve higher recognition accuracy than traditional features under the same conditions, proving that the proposed features has important reference value for the practical application of cross-receiver radar specific emitter identification. © 2022 IEEE.

关键词： Radar receivers

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Radar HRRP Target Recognition Based on Composite Deep Networks

Radar HRRP Target Recognition Based on Composite Deep Networ...

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2022 International Applied Computational Electromagnetics Society Symposium, ACES-China 2022

作者： Kong, Yameng Feng, Dejun Zhang, Jiang National University of Defense Technology State Key Lab. of Complex Electromagnetic Environment Effects on Electronics and Information System Changsha China

ISBN: (纸本)9781665452366

Radar target recognition is to extract the acquired target echo information to achieve the determination of target category and attribute. The feature extraction and classifier in radar target recognition determine the quality of the recognition. However, the shallow structure used by traditional feature extraction algorithms and classifiers cannot fully utilize the original measurement data of radar targets, and it is easy to ignore the hidden information in the data. To solve this problem, a target recognition method based on composite deep networks is proposed. In this paper, autoencoder and convolutional neural network are combined to make full use of the complex function representation capabilities of deep network structure. The effectiveness of the proposed method is demonstrated by experiments with radar high-resolution range profile (HRRP) data based on dynamic scene simulation. The experimental results show that the proposed method of radar target recognition can achieve better performance than traditional method. © 2022 IEEE.

关键词： Radar target recognition

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Research on the Milling Process Damping and Stability Considering Additional Vibration 16th

Research on the Milling Process Damping and Stability Consid...

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

作者： Qu, Haodong Tang, Xiaowei Ma, Tao Peng, Fangyu Yan, Rong Zhang, Lei School of Mechanical Science and Engineering Huazhong University of Science and Technology No. 1037 LuoYu Road Wuhan China State Key Laboratory of Smart Manufacturing for Special Vehicles and Transmission System Baotou China State Key Lab of Digital Manufacturing Equipment and Technology Huazhong University of Science and Technology No. 1037 LuoYu Road Wuhan China

ISBN: (纸本)9789819964796

Chatter is a critical factor that impacts both the efficiency and quality of the milling, and the process damping can suppress its occurrence. Process damping is caused by the interference between the machined surface and the flank face of the tool, which is manifested as an effect on the damping term of the system. In this paper, a method of applying additional vibration for workpiece is proposed, and the influence of additional vibration on process damping and milling stability boundary is studied. The calculation and simulation show that the proposed chatter suppression method is reasonable, and applying appropriate additional vibration can make the milling stability boundary higher and improve the machining efficiency. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023.

关键词： Milling (machining)

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On Networked Dynamical systems with Heterogeneous Constraints:Equilibrium Points and Stability 41

On Networked Dynamical Systems with Heterogeneous Constraint...

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第41届中国控制会议

作者： Qichao Ma Jiahu Qin Yu Kang Huijun Gao Department of Automation University of Science and Technology of China Institute of Artificial Intelligence Hefei Comprehensive National Science Center Institute of Advanced Technology University of Science and Technology of China Research Institute of Intelligent Control and Systems and the State Key Laboratory of Robotics and System Harbin Institute of Technology

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

In this paper,we investigate multi-agent systems with heterogeneous constraints,which can represent the heuristic beliefs of the agents towards an issue or the physical constraints of the *** typical example is a group of interacting unmanned aerial vehicles in a complex environment with multiple physical *** a result of the heterogeneity of the constraints,an equilibrium point may not exist and is presumably to be a dissensus point when it *** investigate the existence of equilibrium points from the perspective of Kakutani's fixed point theory for a set-valued *** also prove the local/global stability of certain equilibrium ***,a special case that the constraints are homogeneous is taken into *** constrains are assumed to take interval forms with nonempty *** is proved that consensus can be achieved globally and asymptotically for this *** examples are designed to illustrate our theoretical findings.

关键词： Multi-agent systems heterogeneous constraints equilibrium point and its stability constrained consensus

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VideoLLM-MoD: efficient video-language streaming with mixture-of-depths vision computation 24

VideoLLM-MoD: efficient video-language streaming with mixtur...

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Proceedings of the 38th International Conference on Neural Information Processing systems

作者： Shiwei Wu Joya Chen Kevin Qinghong Lin Qimeng Wang Yan Gao Qianli Xu Tong Xu Yao Hu Enhong Chen Mike Zheng Shou University of Science and Technology of China & State Key Laboratory of Cognitive Intelligence and Show Lab National University of Singapore Show Lab National University of Singapore Xiaohongshu Inc. Institute for Infocomm Research A*STAR University of Science and Technology of China & State Key Laboratory of Cognitive Intelligence

ISBN: (纸本)9798331314385

A well-known dilemma in large vision-language models (e.g., GPT-4, LLaVA) is that while increasing the number of vision tokens generally enhances visual understanding, it also significantly raises memory and computational costs, especially in long-term, dense video frame streaming scenarios. Although learnable approaches like Q-Former and Perceiver Resampler have been developed to reduce the vision token burden, they overlook the context causally modeled by LLMs (i.e., key-value cache), potentially leading to missed visual cues when addressing user queries. In this paper, we introduce a novel approach to reduce vision compute by leveraging redundant vision tokens "skipping layers" rather than decreasing the number of vision tokens. Our method, VIDEOLLM-MOD, is inspired by mixture-of-depths LLMs and addresses the challenge of numerous vision tokens in long-term or streaming video. Specifically, for certain transformer layer, we learn to skip the computation for a high proportion (e.g., 80%) of vision tokens, passing them directly to the next layer. This approach significantly enhances model efficiency, achieving approximately ~42% time and ~30% memory savings for the entire training. Moreover, our method reduces the computation in the context and avoid decreasing the vision tokens, thus preserving or even improving performance compared to the vanilla model. We conduct extensive experiments to demonstrate the effectiveness of VIDEOLLM-MOD, showing its state-of-the-art results on multiple benchmarks, including narration, forecasting, and summarization tasks in COIN, Ego4D, and Ego-Exo4D datasets. The code and checkpoints will be made available at ***/showlab/VideoLLM-online.

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Learning to Communicate Among Agents for Large-Scale Dynamic Path Planning With Genetic Programming Hyperheuristic

IEEE Transactions on Artificial Intelligence

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IEEE Transactions on Artificial intelligence 2025年第5期6卷 1269-1283页

作者： Liao, Xiao-Cheng Hu, Xiao-Min Chen, Xiang-Ling Mei, Yi Jia, Ya-Hui Chen, Wei-Neng Victoria University of Wellington Centre for Data Science and Artificial Intelligence School of Engineering and Computer Science Wellington6140 New Zealand Guangdong University of Technology School of Computer Science and Technology Guangzhou510006 China Hanyang University Department of Electrical and Electronic Engineering Ansan15588 Korea Republic of South China University of Technology School of Future Technology Guangzhou510006 China Pazhou Lab Guangzhou510005 China South China University of Technology School of Computer Science and Engineering State Key Laboratory of Subtropical Building and Urban Science Guangzhou510006 China

Genetic programming hyperheuristic (GPHH) has recently become a promising methodology for large-scale dynamic path planning (LDPP) since it can produce reusable heuristics rather than disposable solutions. However, in this methodology, the extracted local and decentralized heuristic for agents that lack a global systemic view sometimes may be problematic. Therefore, a new challenge is to strike a balance between conciseness to improve generalization ability and incorporation of more global information to obtain better performance. In this work, we target the LDPP problem and propose a communication learning mechanism (ComLGP) for GPHH to address the above difficulties. In ComLGP, a communication function is introduced to serve as a communication protocol and exist in the form of an extra terminal in GPHH. Compared to the classic terminals which are fixed in genetic programing, this communication function undergoes optimization along with the evolutionary process of GPHH. In this way, the communication function can be learned which enables agents to communicate without a predefined communication protocol. Then, a caching and lazy updating mechanism for ComLGP is presented to accelerate the calculation of communication content. Last, we verified our method on 22 scenarios including two real world road networks. The experimental results demonstrate that the proposed ComLGP can successfully learn to communicate. Although in the absence of any manually designed communication features, ComLGP is capable of achieving performance competitive to the state-of-the-art method that employs a predefined communication protocol and outperforms the remaining compared methods in most scenarios. © 2020 IEEE.

关键词： Genetic programming

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A Compliant Traction Method of Manipulator Based on Online Calibration of Force Sensor Zero-Point 6

A Compliant Traction Method of Manipulator Based on Online C...

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6th International Conference on Automation, Control and Robots, ICACR 2022

作者： Xu, Zhilu Wang, Weijun Feng, Wei Chinese Academy of Sciences Guangdong Provincial Key Lab of Robotics and Intelligent System Shenzhen Institute of Advanced Technology Shenzhen China Shenzhen Institute of Advanced Technology Cas Key Laboratory of Human-Machine Intelligence-Synergy Systems Shenzhen China

ISBN: (数字)9781665498739

ISBN: (纸本)9781665498739

With the increasing number of cooperative robots, it is becoming increasingly important to improve the safety and operability of human-robot interaction. Installing a six-dimensional force sensor at the end of the manipulator can realize the drag of the manipulator in Cartesian space. A compliant traction method of manipulator based on online calibration of force sensor zero-point is proposed in this paper. Aiming at the problem of "zero drift"of force sensor, after calculating the gravity of the end tool, the zero-point of the force sensor is calibrated online by means of mean processing, so as to obtain more accurate external force. Then, the relationship between the end position of the manipulator and the external force, the end moving speed of the manipulator and the external force is established, and the change of the position and speed of the manipulator is controlled by the external force at the same time. Finally, experiments show the effectiveness of this method and ensure the safety and reliability in the traction process. © 2022 IEEE.

关键词： Manipulators

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