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4th International Conference on communication technology and Information technology, ICCTIT 2024

作者： Zeng, Guopei Wang, Luping Sun Yat-sen University School of Electronics and Communication Engineering Shenzhen China Zhejiang Aerospace Runbo Measurement and Control Technology Co. Ltd Zhejiang China

ISBN: (纸本)9798331528973

The advent of powerful object detectors has led to the widespread adoption of the 'tracking-by-detection' paradigm in multi-object tracking (MOT). However, challenges such as association errors during occlusions continue to hinder tracking performance. To address this issue, we propose three key improvements. First, we leverage the confidence scores generated by a detector with decoupled heads to weight the cost matrix. Second, we introduce a height-constrained intersection-over-union (IoU) distance metric. Finally, we classify the appearance features of objects in the current frame into two levels - high and low - based on their respective confidence scores. These features are then matched and updated against stored appearance embeddings from previous frames. Extensive comparative and ablation experiments conducted on the MOT17 dataset demonstrate that the proposed method significantly improves tracking performance in multi-object tracking scenarios. © 2024 IEEE.

关键词： Embeddings

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Intelligent Agricultural Drones Utilizing Nano-Fertilizer Dispensation for Precision Farming

Intelligent Agricultural Drones Utilizing Nano-Fertilizer Di...

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2024 International Conference on communication, Computing and Internet of Things, IC3IoT 2024

作者： Jayanthi, G. Nancy, W. Umamaheswari, B. Chithrakkannan, R. Sujith, R. Sathya Prasanna, S. Sri Sairam Engineering College Department Of Instrumentation And Control Engineering India Jeppiaar Institute Of Technology Department Of Electronics And Communication Engineering India Sri Sairam Engineering College Department Of Electronics And Communication Engineering India

ISBN: (纸本)9798350352689

An innovative approach to precision agriculture through the integration of artificial intelligence (AI) and nano-fertilizer technology in an agricultural drone system. The proposed system aims to optimize crop yield, reduce environmental impact, and enhance resource efficiency by employing advanced AI algorithms for crop health assessment and nano-fertilizers for targeted nutrient delivery. The drone's real-time decision-making capabilities, coupled with precise dispensation of nano-sized fertilizers, contribute to sustainable farming practices. Field trials demonstrate promising results in terms of improved crop productivity, resource utilization, and minimized environmental footprint. © 2024 IEEE.

关键词： Crops

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End-to-End Trainable Deep Neural Network for Radar Interference Detection and Mitigation

End-to-End Trainable Deep Neural Network for Radar Interfere...

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2023 IEEE International Radar Conference, RADAR 2023

作者： Klemp, Marvin Chen, Shengyi Wagner, Royden Lauer, Martin Institute of Measurement and Control Systems Karlsruhe Institute of Technology Karlsruhe76131 Germany Institute of Communication Acoustics Ruhr-Universität Bochum Bochum44801 Germany

ISBN: (纸本)9781665482783

The automotive radar sensor is an essential sensor for intelligent transportation systems. However, the increasing number of such systems leads to mutual interference between sensors. Radar interference can be a severe disturbance, where targets within the victim radar are not perceived anymore if no countermeasures are taken. To prevent fatal injuries caused by this disturbance, several classical and deep-learning based methods to detect and mitigate radar interference have been proposed. We present an end-to-end trainable deep neural network for radar interference detection and mitigation. We evaluate different radar interference detection and mitigation methods on a large scale urban driving dataset using simulated radar interference. To our knowledge, this is the first end-to-end trainable architecture for interference detection and mitigation in the time domain. We show that our method achieves state-of-the-art results in interference detection and mitigation. Code for our method, reference methods, simulation, and the evaluation is available at https://***/KIT-MRT/ridam. © 2023 IEEE.

关键词： Large dataset

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Satellite Power System Anomaly Detection based on Spatio-Temporal Uncertainty Fusion

Satellite Power System Anomaly Detection based on Spatio-Tem...

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2023 CAA Symposium on Fault Detection, Supervision and Safety for Technical Processes, SAFEPROCESS 2023

作者： Wang, Zhipeng Gao, Yanjiao Pang, Jingyue Song, Yuchen Peng, Yu Harbin Institute of Technology School of Electronics and Information Engineering Harbin China Harbin University of Science and Technology School of Measurement and Control Technology and Communication Engineering Harbin China Chongqing Technology and Business University School of Artificial Intelligence Chongqing China

ISBN: (纸本)9798350337754

Satellites have been widely used for military and civil applications. The power system is critical for the satellite's operating safety. However, satellite power system anomaly monitoring is faced with challenges like large amounts of data, insufficient anomaly samples, and complex operating conditions. To address these challenging issues, this paper proposes a data-driven anomaly detection method that fuses the time-related historical data and spatial-associated sub-system monitor data. Firstly, the probabilistic prediction model is used to establish the prediction model based on time and space The corresponding prediction uncertainties of the temporal and spatial models are quantitatively represented. Then, the stochastic distribution model is introduced to fuse the two uncertainties to obtain the predicted mean value and fusion uncertainty of the current power system state. The mean value is taken as the expected result of the state, and the fused uncertainty interval is taken as the threshold of abnormal judgment to realize the detection of the abnormal condition. The telemetry data of the actual satellite power system are used for experimental and comparative analysis. The results show that the false negative rate of anomaly detection results can be effectively reduced, and the detection accuracy can be improved through the fusion of spatio-temporal uncertainty. © 2023 IEEE.

关键词： Anomaly detection

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Modular Design of a Fused Deposition Modelling Based Device for Constructing Structures on Mars 12

Modular Design of a Fused Deposition Modelling Based Device ...

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12th RSI International Conference on Robotics and Mechatronics, ICRoM 2024

作者： Sudhakar, Dhanush Mohamed Abdulla, Afeef Ahmed Kotilingesh, R. Shasica Ramaraj, N.P. National Institute of Technology Tiruchirappalli Department of Instrumentation and Control Engineering Tiruchirappalli India National Institute of Technology Tiruchirappalli Department of Electronics and Communication Engineering Tiruchirappalli India National Institute of Technology Tiruchirappalli Department of Mechanical Engineering Tiruchirappalli India

ISBN: (纸本)9798331529734

In recent years, the significant investments made in space exploration programs globally have elevated the conversation about populating Mars to the fore. However, it poses major difficulties, particularly given the enormous payload needed for sustained missions. It would be expensive and impractical to transport all necessary supplies from Earth, including large construction machinery like cranes. This paper introduces the design of a device that autonomously constructs structures on Mars utilizing local regolith as feedstock. The solution aims to remove the need of heavy machinery transportation by additively manufacturing structures using smaller wheeled mobile units. © 2024 IEEE.

关键词： Space research

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Torque Ripple Investigation on Line-start Permanent Magnet Synchronous Motors

Torque Ripple Investigation on Line-start Permanent Magnet S...

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2023 IEEE International Conference on Applied Superconductivity and Electromagnetic Devices, ASEMD 2023

作者： Wang, Yanbo Shen, Tao Xu, Yongming Xu, Ziyi Harbin University of Science and Technology School of Measurement and Communication Engineering Harbin China Changzhou Institute of Technology School of Electrical and Information Engineering Changzhou China

ISBN: (纸本)9798350301571

This paper proposes a torque calculation method based on analytical equations. This method is used to investigate the torque ripple of line-start permanent magnet synchronous motors (LSPMSM). The comparison with the results of the finite element method (FEM) illustrates that the method is able to explore the interaction between magnetic potential and permeance. By calculating torque in two cases, without rotor bar and with rotor bar, the effect of rotor slotting and rotor bar on torque ripple is discussed. The calculation results indicate that rotor slotting is the main source of torque ripple in LSPMSM. © 2023 IEEE.

关键词： Line-start permanent magnet synchronous motors (LSPMSM) rotor slotting torque tipple

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Remaining Life Prediction Method of Rolling Bearing Based on TD3 Optimization Model Updating Strategy 16

Remaining Life Prediction Method of Rolling Bearing Based on...

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16th IEEE International Conference on Electronic measurement and Instruments, ICEMI 2023

作者： Wang, Yujing Jiao, Guangpeng Kang, Shouqiang Xie, Jinbao Sun, Yulin School of Measurement-Control and Communication Engineering Harbin University of Science and Technology Harbin China School of Physics and Electronic Engineering Hainan Normal University Haikou China

ISBN: (纸本)9798350327144

To address the problems of model degradation and low prediction accuracy in the of update procedure the rolling bearing life prediction model, the updating strategy of twin delayed deep deterministic policy gradient(TD3) is suggested to optimize the prediction model, and it applied to rolling bearing remaining useful life prediction. Continuous wavelet transform is used to build a dataset by converting the rolling bearing vibration data into two-dimensional time-frequency spectrum diagram. Deep reinforcement learning is introduced to design the elements of state, action, reward value and loss function, which are employed to training of the prediction model, this model is composed convolutional neural network (CNN) and bidirectional long short-term memory. The delayed update and soft update techniques of the TD3 algorithm are used to reduce the update frequency of the CNN feature network. A new loss function is proposed to establish a new model updating strategy for solving the prediction model degradation problem. The experimental study using the PHM2012 dataset and the finding indicate that, in comparison to the compared methodologies, the suggested prediction method with model optimization strategy can reduce the root mean square error and mean square error by more than 23.8% and 20.8% respectively, reducing the prediction error by at least 18.6% and improve the scores by more than 0.213. © 2023 IEEE.

关键词： Mean square error

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Terahertz time-of-flight tomography algorithm for different curvature samples

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Optics Express 2025年第7期33卷 15095-15109页

作者： Zhou, Yu Li, Quanyong Cui, Zongyu Zhang, Jiyang Ren, Jiaojiao Zhang, Dandan Gu, Jian Li, Haoxiang Lin, Zihao Key Laboratory of Optoelectronic Measurement and Control and Optical Information Transmission Technology Ministry of Education Changchun University of Science and Technology Changchun130022 China School of Optoelectronic Engineering Changchun University of Science and Technology Changchun130022 China Zhongshan Research Institute Changchun University of Science and Technology Zhongshan528403 China

Traditional guide rail-based terahertz reflection tomography works well with planar samples and complements transmission tomography. Most imaging methods perform effectively with plane-like or simple curvature samples. However, these methods are ineffective for complex shapes due to the challenges of dealing with internal corrections and stitching errors. To address the above issues, terahertz time-of-flight tomography is applied to the prepared samples with abnormal curvature using a rotating scanning array and "point cloud splicing" method. This approach enables comprehensive sample information collection and resolves the inner layer point cloud position correction challenge. A radial distance point cloud down-sampling method is proposed to reduce the impact of overlapping point clouds on reconstruction accuracy. After down-sampling, the outer layer reconstruction error reduces to 0.22%. Poisson surface reconstruction further enhances the intuitiveness of imaging results, and the reconstruction accuracy is 0.01 mm. This study broadens the application of terahertz time-of-flight tomography and offers a different approach for reflection tomography. © 2025 Optica Publishing Group under the terms of the Optica Open Access Publishing Agreement.

关键词： Surface reconstruction

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PCB vibration test program design 6

PCB vibration test program design

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6th International Conference on System Reliability and Safety engineering, SRSE 2024

作者： Wang, Hao Zhang, Han Qi, Jia China Institute of Marine Technology and Economy Quality and Reliability Center Beijing China Harbin University of Science and Technology School of Measurement-Control Technology and Communications Engineering Harbin China

ISBN: (纸本)9798350356083

This paper presents a vibration testing program designed to evaluate the reliability of PCB boards in complex underwater environments. The study thoroughly examines the structural components of the PCB and the vibrations it encounters throughout its lifecycle. Based on the characteristics of vibrations at different stages, corresponding testing standards and methods were developed, providing a scientific basis for the reliability assessment of PCB boards. © 2024 IEEE.

关键词： Life cycle

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Design of Airborne VLF Dual Trailing Wire Antenna 6

Design of Airborne VLF Dual Trailing Wire Antenna

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6th International Conference on Electronics technology, ICET 2023

作者： Dong, Jianming Wu, Dan Communication Measurement and Control of Technology of Institute of Cetc China Beijing Key Laboratory of Millimeter-wave and Terahertz Wave Technology School of Integrated Circuits and Electronics China

ISBN: (纸本)9798350337693

The airborne Dual Trailing Wire Antenna (DTWA) has a complex shape that makes it challenging to calculate using the conventional analytical method and challenging to obtain results with high precision. The purpose of this thesis is to study the performance of the Dual Trailing Wire Antenna on the aircraft. The operation theory of the airborne DTWA is presented in this paper along with a method of establishing such large models of airborne Very Low Frequency (VLF) dual trailing wire antenna systems. The performance of the DTWA model is calculated, which is 6000 meters long. Then discuss dual trailing wire antenna's EM radiation characteristics and impedances by the analysis of simulation results. The electromagnetic field distribution and induced current of the Airborne Dual Trailing Wire Antenna are analyzed by calculating the radiation field of the DTWA. The conclusions are beneficial for further study on the application of airborne VLF communication systems. © 2023 IEEE.

关键词： Electromagnetic fields

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