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6th International Conference on Cognitive systems and Signal Processing, ICCSIP 2021

作者： Chen, Runfa Sun, Hanbing Wang, Ling State Key Lab on Intelligent Technology and Systems Department of Computer Science and Technology Tsinghua University Beijing China Department of Air Defense Early Warning Command System Air Force Early Warning Academy Wuhang China

ISBN: (纸本)9789811692468

The proposed new method constructs a contrastive learning task through unsupervised image-to-image translation and indirectly extracts domain-invariant features by maximizing mutual information. Specifically, by reusing the semantic segmentation network for image-to-image translation, the probability space of the segmentation output is projected into the RGB space, thereby constructing positive and negative samples to maximize the mutual information between the input image and the semantic segmentation RGB projection map. Meanwhile, the output space of the target domain is transferred to the source domain, and then the robust domain-invariant semantic features are extracted. We develop two adversarial transfer methods and a three-stage training paradigm of pre-training, cross-domain transfer, and self-supervised training. Experiments on benchmarks demonstrate that this method is reasonable and feasible. Comprehensive ablation studies and analyses are also carried out to reveal the advantages and disadvantages of the two designed transfer schemes and the effect and significance of color-invariant semantic information for unsupervised semantic segmentation tasks. The contrastive learning task, which is constructed through unsupervised cross-domain image-to-image translation, provides a new insight for cross-domain transfer learning to overcome the problem of domain shift. © 2022, Springer Nature Singapore Pte Ltd.

关键词： Semantic Segmentation

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A Numerical Simulation Study on Bubble Size Distribution in a Variable Diameter Pipeline based on CFD-PBM 43

A Numerical Simulation Study on Bubble Size Distribution in ...

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43rd Chinese Control Conference, CCC 2024

作者： Zhang, Lei Chen, Xu Shi, Jiamei Zhang, Xuyang Zhang, Shuo Dalian University of Technology The Key Lab. of Intelligent Contr. and Optimization for Indust. Equipment of Ministry of Education Dalian116024 China Electric Power Science Research Institute of State Grid Inner Mongolia East Electric Power CO. Ltd China China Kunlun Contracting & Engineering Corp China

ISBN: (纸本)9789887581581

This study aims to investigate the characteristics of bubble size distribution within a variable diameter pipeline. The pipeline is divided into five main sections: inlet section, contraction section, intermediate section, expansion section, and outlet section. A combination of numerical simulation and computational fluid dynamics (CFD) is employed to understand the impact of different pipe geometries on bubble behavior. This paper uses a set of boundary conditions and methods which are proven correct from an existing study for simulation. In the FLUENT 19.0 software, the Eulerian two-phase flow model combined with the standard k-varepsilon turbulence model is used to simulate the bubble size distribution within a pipe and the results were compared across different numerical methods: CM, QMOM, EQMOM, CQMOM, and ECQMOM. The combination is based on the inner mechanism in CFD solver. The significance of this study lies in its contribution to the common variable diameter pipeline systems in industrial processes. A deeper understanding of bubble dynamics is crucial for optimizing design and operation. This work not only provides new theoretical guidance for gas-liquid two-phase flow but also serves as a practical guide for chemical, petroleum, and other fields involving multiphase flow. © 2024 Technical Committee on Control Theory, Chinese Association of Automation.

关键词： Bubble columns

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A Vision-Based Bird's Eye View Representation Network for 3D Objects in Open-pit Mining Area

A Vision-Based Bird's Eye View Representation Network for 3D...

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IEEE International Conference on Industrial Informatics (INDIN)

作者： Mengen Tai Wentao Liu Zhangyu Wang Bin Zhou Guizhen Yu Songyue Yang State Key Lab of Intelligent Transportation System The Key Laboratory of Autonomous Transportation Technology for Special Vehicles School of Transportation Science and Engineering Ministry of Industry and Information Technolody Beihang University Beijing China

ISBN: (数字)9798331527471

ISBN: (纸本)9798331527488

Autonomous transportation systems, which have reconstructed open-pit mining operations, depend on accurate and real-time obstacle detection in challenging environments. Existing methods often exhibit limitations in accuracy due to their reliance on traditional image-based techniques, leading to errors and incomplete results. To address these issues, we developed a vision-based 3D object detection algorithm designed for open-pit mining environments. Our approach leverages the BEVDepth model, enabling accurate 3D object recognition using monocular camera input. Moreover, camera parameters are integrated to enhance resilience and flexibility across diverse mining environments. Last, our algorithm was implemented on a newly customized open-pit mining dataset. The experimental results verify the algorithm efficiency by attaining a high mean Average Precision score (mAP) of 67% while offering real-time performance with inference times as short as 25ms per frame. It enables accurate and efficient obstacle detection in autonomous mining vehicles and contributes to the development of safer and more productive mining operations.

关键词： Solid modeling Three-dimensional displays Accuracy Transportation Object detection Cameras Real-time systems Inference algorithms Object recognition Resilience

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Parameter Estimation of LFM Signal Based on Improved Fractional Fourier Transform 22

Parameter Estimation of LFM Signal Based on Improved Fractio...

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6th International Conference on Digital Signal Processing, ICDSP 2022

作者： Qiao, Guanyu Dai, Dahai Zhang, Caikun State Key Lab. of Complex Electromagnetic Environment Effects on Electronics and Information System National University of Defense Technology Changsha410073 China Luoyang Electronic Equipment Test Center Luoyang471000 China

ISBN: (纸本)9781450395809

Given the current computational complexity and the unsatisfactory anti-noise performance of the linear frequency modulated (LFM) signal parameter estimation method, this paper proposes a rather innovative and efficient method based on improved fractional Fourier transform (FrFT). This method first obtains the energy distribution of time-frequency domain (TFD) through short-time Fourier transform (STFT), which is used to determine the order search range of FrFT. On the other hand, incoherent accumulation is also employed to improve the anti-noise performance under low signal-to-noise-ratio (SNR) environments. Extensive computer simulations verified that the algorithm displays a good anti-noise performance while reducing the amount of calculation. © 2022 ACM.

关键词： Signal to noise ratio

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Biomimetic Multi-UAV Swarm Exploration with U2U Communications Under Resource Constraints

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IEEE Transactions on Vehicular technology 2025年

作者： Huang, Yuanhao Wang, Hao Bai, Xuesong Cai, Xuan Yu, Haiyang Ren, Yilong Beihang University School of Transportation Science and Engineering Beijing100191 China State Key Lab of Intelligent Transportation System Beijing100191 China Dalian University of Technology School of Computer Science and Technology Dalian China Zhongguancun Laboratory Beijing100094 China

Existing multi-agent algorithms struggle with spatial coordination and require extensive prior environmental information for effective large-scale operation. This study introduces an innovative multi-UAV system that employs an evolutionary algorithm, reconceptualizing collab.rative search tasks as a multi-objective cooperative challenge. Inspired by bacteria's stochastic exploration for pheromones, the algorithm utilizes pheromone concentration and gradient effects to enhance multi-source exploration's efficiency and robustness. A bespoke multi-UAV framework with UAV-to-UAV (U2U) communication was developed to implement and test the algorithm. Comprehensive experiments tested various chemotaxis strategies, guidance strengths, team sizes, and starting conditions, demonstrating the algorithm's consistent effectiveness in expansive terrains without relying on prior information. © 1967-2012 IEEE.

关键词： Stochastic systems

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Design of a sweptback wing of water-air amphibious trans-media unmanned vehicles 22

Design of a sweptback wing of water-air amphibious trans-med...

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3rd Asia-Pacific Conference on Image Processing, Electronics and Computers, IPEC 2022

作者： Bai, Xueqiang Sun, Xilong Song, Zhen Xing, Xiaoyue Li, Zhe Liu, Chaofeng Zhang, Long Ling, Chen Northwest Institute of Nuclear Technology Xi'an710024 China State Key Lab. of Complex Electromagnetic Environment Effect on Electronic and Information System Luoyang471000 China College of Intelligence Science and Technology National University of Defense Technology Changsha410073 China

ISBN: (纸本)9781450395786

Water-air amphibious trans-media unmanned vehicle are new concepts of robots with hybrid and multi-modal locomotion, referring specifically to those that can both swim in water and fly in air. Due to the differences in physical properties between water and air, the vehicle usually ensures its adaptability to different environments through morphing. This paper proposed a novel sweptback wing for trans-media vehicle to achieve its ability to transfer between the air and the water. Through sweeping back and fit itself with the fuselage of the vehicle, it can reduce the underwater resistance and buoyance on the vehicle. And when the vehicle is flying in the air, the wings are spread out to provide lift. The sweptback wing's kinematics model is established, and its motion trajectory is analyzed. Considering two stages of the vehicle's locomotion: swimming underwater and flying in the air, the vehicle's aerodynamic and hydrodynamic characteristics with different configurations of the sweptback wing are studied by computational fluid dynamics (CFD). © 2022 ACM.

关键词： Hydrodynamics

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Fuzzy Transfer Learning Algorithm with Knowledge-Task Matching 9

Fuzzy Transfer Learning Algorithm with Knowledge-Task Matchi...

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9th International Conference on Information, Cybernetics, and Computational Social systems, ICCSS 2023

作者： Liu, Hongxu Yang, Hongyan Han, Honggui Ministry of Education Beijing University of Technology Fac. of Info. Technol. Beijing Key Laboratory of Computational Intelligence and Intelligent System Eng. Res. Ctr. of Digit. Comm. Beijing Artif. Intell. Inst. and Beijing Lab. for Urban Mass Transit Beijing China

ISBN: (纸本)9798350342239

Fuzzy transfer learning has the potential to enhance the performance of a task in the target scene by leveraging knowledge from the source scene. However, the existence of scene discrepancies between the two scenes poses two major problems for fuzzy transfer learning: 1) the mismatch between the distribution of source knowledge and the target task, and 2) the mismatch between the learning ability of the target task and the source knowledge. To address these challenges, we propose a fuzzy transfer learning algorithm called Knowledge-Task Matching Fuzzy Transfer Learning (KTM-FTL), which aims to adaptively match the source knowledge and the target task. Firstly, we develop a knowledge matching mechanism that balances matching accuracy and diversity to reconstruct the knowledge from the source scene. This process enables the source knowledge to align more accurately with the requirements of the target scene's task. Secondly, we design a task matching mechanism that allows for learning the source knowledge at different levels of granularity. This approach enables the learning ability of the target Feedforward Neural Network (FNN) to match the complexity of the source knowledge, thereby improving its generalization performance. Thirdly, we conduct theoretical analysis of the proposed KTM-FTL, including an examination of its computational complexity and error bound. These analyses provide valuable insights for the successful application of KTM-FTL. Finally, we evaluate the performance of the proposed KTM-FTL on several benchmark problems as well as real-world problems. The experimental results demonstrate the significant improvements achieved by KTM-FTL when compared to state-of-The-Art algorithms. © 2023 IEEE.

关键词： Computational complexity

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Meta-device:advanced manufacturing

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Light(Advanced Manufacturing) 2024年第1期5卷 115-130页

作者： Borui Leng Yao Zhang Din Ping Tsai Shumin Xiao Department of Electrical Engineering City University of Hong KongHong Kong999077China Centre for Biosystems Neuroscience and NanotechnologyCity University of Hong KongHong Kong999077China The State Key Laboratory of Terahertz and Millimeter Waves City University of Hong KongHong Kong999077China Ministry of Industry and Information Technology Key Lab of Micro-Nano Optoelectronic Information System Guangdong Provincial Key Laboratory of Semiconductor Optoelectronic Materials and Intelligent Photonic SystemsHarbin Institute of TechnologyShenzhen 518055China Pengcheng Laboratory Shenzhen 518055China

Metasurfaces are one of the most promising devices to break through the limitations of bulky optical *** offering a new method of light manipulation based on the light-matter interaction in subwavelength nanostructures,metasurfaces enable the efficient manipulation of the amplitude,phase,polarization,and frequency of light and derive a series of possibilities for important ***,one key challenge for the realization of applications for meta-devices is how to fabricate large-scale,uniform nanostructures with high *** this review,we review the state-of-the-art nanofabrication techniques compatible with the manufacture of *** lithography,masked lithography,and other nanofabrication techniques are highlighted in *** also delve into the constraints and limitations of the current fabrication methods while providing some insights on solutions to overcome these challenges for advanced nanophotonic applications.

关键词： Meta-device Metasurface Nanofabrication COMS-compatible fabrication

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Characterization of High-Performance Nanostructured Wick for Heat Pipes

SSRN

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SSRN 2023年

作者： Sun, Qishi Han, Ruiyu Guo, Kailun Wang, Chenglong Zhang, Jing He, Xiaoqiang Qiu, Suizheng Su, Guanghui Tian, Wenxi Department of Nuclear Science and Technology State Key Lab. of Multiphase Flow in Power Engineering Shaanxi Key Lab. of Advanced Nuclear Energy and Technology Xi’an Jiaotong University Xi’an710049 China Key Lab. of Nuclear Reactor System Design Technology China Nuclear Power Research and Design Institute Chengdu610213 China

To investigate the best performance wick forms to support the design and fabrication of high-performance heat pipes, in this paper, two kinds of nanostructured wick were prepared by the oxidation-reduction method. The effect of surface nanostructure on the wick performance was investigated by comparing the surface characteristics, capillary properties, permeability, and evaporation properties. The result shows that the nanostructured wick presented excellent super hydrophilic properties. A liquid-lift visualization experimental method for measuring the capillary performance factor M was proposed, and it was verified to be correct by the separation effect of the capillary pumping experiment under a vacuum environment. With the increasing oxidized degree, the densification of nanoparticles on the wick surface increased the capillary performance factor M from 8.68 μm to 13.81 μm, with a maximum enhancement of 59.1%. The effective capillary radius decreased from 4.70×10-5 m to 4.01×10-5 m, with a maximum reduction of 14.9%. The permeability increased from 4.33×10-10 m2 to 5.83×10-10 m2, with a maximum enhancement of 34.7%. The increase in porosity made the effective capillary radius dominate the competition for permeability, and the capillary performance factor decreased by 17.1%. The thermal resistance of the wick decreased with the enhancement of the capillary performance factor, which fell from 2.03×10-3 m2·K/W to 1.26×10-3 m2·K/W. The current study provides a reference for the future design and preparation of high-performance heat pipe wicks. © 2023, The Authors. All rights reserved.

关键词： Heat resistance

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Reconstructing Three-Degree-of-Freedom Pose through Temporal Phase-Shifted Low-Coherence Spatial Interferograms 16

Reconstructing Three-Degree-of-Freedom Pose through Temporal...

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16th Pacific Rim Conference on Lasers and Electro-Optics, CLEO-PR 2024

作者： Shi, Liheng Zhang, Jinxu Gu, Yingying Gai, Fangqin Liu, Jing Wu, Guanhao Tsinghua University State Key Laboratory of Precision Measurement Technology and Instruments Department of Precision Instrument Beijing100084 China Yangtze Delta Region Institute of Tsinghua University Zhejiang Research Center of Opto-electronic Sensing Zhejiang 314006 China Beijing Institute of Control Engineering Space Optoelectronic Measurement and Perception Lab. Beijing100190 China China Academy of Space Technology National Key Laboratory of Space Intelligent Control Beijing100094 China

We introduce a method for measuring three degrees of freedom using low-coherence light and temporal phase-shifting to discern position and orientation from the coherence envelope shape, enabling direct measurement wit... 详细信息

ISBN: (纸本)9798350372076

关键词： Degrees of freedom (mechanics)

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