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2020 4th International Conference on Electrical, Mechanical and Computer engineering, ICEMCE 2020

作者： Zheng, Yixiao Yan, Bixi Ma, Chao Wang, Xinyu Xue, Haoyang School of Instrument Science and Optoelectronic Engineering Beijing Information Science and Technology University Beijing China Beijing Key Laboratory of Intelligent Space Robotic Systems Technology and Applications Beijing Institute of Spacecraft System Engineering Beijing China

Both obstacle and path planning are of significance for autonomous visual navigation of a mobile robot which is able to realize free movement and obstacle avoidance. In this paper, a scheme of obstacle detection which is based on binocular vision to identify obstacles is constructed and it is combined with improved A* algorithm for obstacle avoidance motion for mobile robot platform. First, a binocular vision system to detect the robot's perception of the environment is used and the visual information is obtained. Then a Gaussian filter is used to reduce the noise in the image, and the grayscale image is obtained through the binocular vision system. The gray scale map is matched with SAD (Sum of Absolute Differences) in order to obtain the disparity image with comparison. Second, the location information of the obstacle is extracted through the environmental depth information contained in the disparity image, and the improved A* algorithm is used as the path planning algorithm in this paper, which can modify the path of the planning error. Furthermore, the detection experiment of the robot visual obstacle avoidance system was established and the optimal path was obtained. The examples show that, the obstacle avoidance system can complete the task of obstacle detection and give a better path for the mobile robot. © 2020 Journal of Physics: Conference Series.

关键词： Mobile robots

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Enumerative Sphere Shaping: Performance Analysis and Experimental Demonstration in DMT systems

Enumerative Sphere Shaping: Performance Analysis and Experim...

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Conference on Lasers and Electro-Optics (CLEO)

作者： Yizhao Chen Junda Chen Li Wang Tianhao Tong Yating Xiang Ming Tang Deming Liu School of Cyber Science and Engineering Huazhong University of Science and Technology Wuhan China Wuhan National Lab for Optoelectronics (WNLO) & National Engineering Laboratory for Next Generation Internet Access System School of Optical and Electronic Information Huazhong University of Science and Technology Wuhan China

We propose to apply ESS in DMT systems and find that it produces MB-like probability distributions over a large SNR range. Compared to CCDM, ESS with block length 100 achieves receiver sensitivity gain of 0.82 dB in 2... 详细信息

ISBN: (纸本)9781943580910

关键词： Sensitivity Receivers Lasers and electrooptics Probability distribution Performance analysis Electrooptical waveguides Gain

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All-Optical Bi-Directional Polarization Demultiplexing for Self-Homodyne Coherent Detection

All-Optical Bi-Directional Polarization Demultiplexing for S...

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Optical Fiber Communication (OFC) Conference

作者： Yizhao Chen Xuefeng Wang Yifan Zeng Junda Chen Weihao Li Yao Zhang Mingming Zhang Can Zhao Deming Liu Ming Tang School of Cyber Science and Engineering Huazhong University of Science and Technology Wuhan China Wuhan National Lab for Optoelectronics (WNLO) & National Engineering Laboratory for Next Generation Internet Access System School of Optical and Electronic Information Huazhong University of Science and Technology Wuhan China

An all-optical bi-directional polarization demultiplexing self-homodyne coherent system is proposed. In the 120-Gbit/s 16-QAM experimental demonstration, one adaptive polarization controller is applied to lock the pol... 详细信息

ISBN: (纸本)9781943580866

关键词： Optical fiber polarization Demultiplexing Optical polarization Bidirectional control Coherence Downlink Optical fiber communication

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Large potential of strengthening the land carbon sink in China through anthropogenic interventions

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science Bulletin 2024年第16期69卷 2622-2631页

作者： Xu Yue Hao Zhou Yang Cao Hong Liao Xiaofei Lu Zhen Yu Wenping Yuan Zhu Liu Yadong Lei Stephen Sitch Jürgen Knauer Huijun Wang Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment TechnologySchool of Environmental Science and EngineeringNanjing University of Information Science&Technology(NUIST)Nanjing 210044China College of Meteorology and Oceanography National University of Defense TechnologyChangsha 410073China Jiangsu Nanjing Environmental Monitoring Center Nanjing 210013China Key Laboratory of Agrometeorology of Jiangsu Province Institute of EcologySchool of Applied MeteorologyNUISTNanjing 210044China Institute of Carbon Neutrality Sino-French Institute for Earth System ScienceCollege of Urban and Environmental SciencesPeking UniversityBeijing 100871China Department of Earth System Science Tsinghua UniversityBeijing 100084China State Key Laboratory of Severe Weather and Key Laboratory of Atmospheric Chemistry of CMA Chinese Academy of Meteorological SciencesBeijing 100081China College of Life and Environmental Sciences University of ExeterExeter EX44RJUK Hawkesbury Institute for the Environment Western Sydney UniversityPenrith 2751Australia Key Laboratory of Meteorological Disaster Ministry of EducationJoint International Research Laboratory of Climate and Environment ChangeCollaborative Innovation Center on Forecast and Evaluation of Meteorological DisastersNUISTNanjing 210044China

The terrestrial ecosystem in China mitigates 21%-45%of the national contemporary fossil fuel CO_(2) emissions every *** and strengthening the land carbon sink is essential for reaching China’s target of carbon ***,this sink is subject to large uncertainties due to the joint impacts of climate change,air pollution,and human ***,we explore the potential of strengthening land carbon sink in China through anthropogenic interventions,including forestation,ozone reduction,and litter removal,taking advantage of a well-validated dynamic vegetation model and meteorological forcings from 16 climate *** anthropogenic interventions,considering Shared Socioeconomic Pathways(SSP)scenarios,the land sink is projected to be 0.26-0.56 Pg C a^(-1) at 2060,to which climate change contributes 0.06-0.13 Pg C a^(-1) and CO_(2) fertilization contributes 0.08-0.44 Pg C a^(-1) with the stronger effects for higher emission *** anthropogenic interventions,under a close-to-neutral emission scenario(SSP1-2.6),the land sink becomes 0.47-0.57 Pg C a^(-1) at 2060,including the contributions of 0.12 Pg C a^(-1) by conservative forestation,0.07 Pg C a^(-1) by ozone pollution control,and 0.06-0.16 Pg C a^(-1) by 20%litter removal over planted *** sink can mitigate 90%-110% of the residue anthropogenic carbon emissions in 2060,providing a solid foundation for the carbon neutrality in China.

关键词： Carbon sink Forestation Ozone Litter removal

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View-decoupled Transformer for Person Re-identification under Aerial-ground Camera Network

View-decoupled Transformer for Person Re-identification unde...

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Conference on Computer Vision and Pattern Recognition (CVPR)

作者： Quan Zhang Lei Wang Vishal M. Patel Xiaohua Xie Jianhuang Lai School of Computer Science and Engineering Sun Yat-Sen University China Department of Electrical and Computer Engineering Johns Hopkins University USA Pazhou Lab (HuangPu) Guangdong China Guangdong Province Key Laboratory of Information Security Technology Guangdong China Key Laboratory of Machine Intelligence and Advanced Computing Ministry of Education China

ISBN: (数字)9798350353006

ISBN: (纸本)9798350353013

Existing person re-identification methods have achieved remarkable advances in appearance-based identity association across homogeneous cameras, such as ground-ground matching. However, as a more practical scenario, aerial-ground person re-identification (AGPReID) among heterogeneous cameras has received minimal attention. To alleviate the disruption of discriminative identity representation by dramatic view discrepancy as the most significant challenge in AGPReID, the view-decoupled transformer (VDT) is proposed as a simple yet effective framework. Two major components are designed in VDT to decouple view-related and view-unrelated features, namely hierarchical subtractive separation and orthogonal loss, where the former separates these two features inside the VDT, and the latter constrains these two to be independent. In addition, we contribute a large-scale AGPReID dataset called CARGO, consisting of five/eight aerial/ground cameras, 5,000 identities, and 108,563 images. Experiments on two datasets show that VDT is a feasible and effective solution for AGPReID, surpassing the previous method on mAP/Rank1 by up to 5.0%/2.7% on CARGO and 3.7%/5.2% on AG-ReID, keeping the same magnitude of computational complexity. Our project is available at https://***/LinlyAC/VDT-AGPReID.

关键词： Computer vision Cameras Transformers Pattern recognition Computational complexity Identification of persons

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Parasitic array loaded with shorting vias on beam steering patch antenna for 5G applications

Parasitic array loaded with shorting vias on beam steering p...

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International Workshop on Antenna technology: Small Antennas and Novel Metamaterials, iWAT

作者： Rabiatuladawiah Akhbar Hajar Ja’afar Nurul Huda Abd Rahman Nurulazlina Ramli Rina Abdullah Fatemeh Sadeghikia Centre of Foundation Studies Universiti Teknologi MARA Cawangan Selangor Kampus Dengkil Dengkil Selangor Malaysia School of Electrical Engineering Universiti Teknologi MARA Cawangan Terengganu Kampus Dungun Dungun Terengganu Malaysia Antenna Research Centre School of Electrical Engineering Universiti Teknologi MARA Shah Alam Selangor Centre for Advanced Electrical and Electronic System (CAEES) Faculty of Engineering Built Environment and Information Technology SEGi University Selangor Malaysia Wireless Telecommunication Group ARI Ministry of Science Research and Technology Iran

ISBN: (数字)9798350314755

ISBN: (纸本)9798350314762

In this paper, a beam steering patch antenna with two parasitic array elements loaded with shorting vias for sub-6 GHz 5G applications is proposed. Two parasitic elements placed at the upper left and below right of the circular driven patch. The mutual coupling effect between both driven and parasitic has managed to steer the beam. The parasitic elements electrically shorten the ground plane through shorting vias. In simulation, shorting vias is like an artificial switch that connects parasitic element to ground plane to change its effective electrical length hence forming a reflector and director. Based on the condition of the shorting vias either ON/OFF, the proposed antenna is able to steer the main beam in three different directions to ±23° and 0° at the resonant frequency of 3.5 GHz with maximum gain of 7.54 dBi.

关键词： Mutual coupling Beam steering 5G mobile communication Patch antennas Conferences Resonant frequency Directive antennas

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Mitigating Propensity Bias of Large Language Models for Recommender systems

arXiv

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arXiv 2024年

作者： Zhang, Guixian Yuan, Guan Cheng, Debo Liu, Lin Li, Jiuyong Zhang, Shichao School of Computer Science and Technology Engineering Research Center of Mine Digitalisation Artificial Intelligence Research Institute China University of Mining and Technology Xuzhou221116 China UniSA STEM University of South Australia Adelaide5095 Australia Guangxi Key Lab of Multisource Information Mining & Security Guangxi Normal University Guilin541004 China

The rapid development of Large Language Models (LLMs) creates new opportunities for recommender systems, especially by exploiting the side information (e.g., descriptions and analyses of items) generated by these models. However, aligning this side information with collaborative information from historical interactions poses significant challenges. The inherent biases within LLMs can skew recommendations, resulting in distorted and potentially unfair user experiences. On the other hand, propensity bias causes side information to be aligned in such a way that it often tends to represent all inputs in a low-dimensional subspace, leading to a phenomenon known as dimensional collapse, which severely restricts the recommender system's ability to capture user preferences and behaviours. To address these issues, we introduce a novel framework named Counterfactual LLM Recommendation (CLLMR). Specifically, we propose a spectrum-based side information encoder that implicitly embeds structural information from historical interactions into the side information representation, thereby circumventing the risk of dimension collapse. Furthermore, our CLLMR approach explores the causal relationships inherent in LLM-based recommender systems. By leveraging counterfactual inference, we counteract the biases introduced by LLMs. Extensive experiments demonstrate that our CLLMR approach consistently enhances the performance of various recommender models. © 2024, CC BY-NC-ND.

关键词： Graph neural networks

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Partially Parallel Low-Complexity Chase Decoding of Reed-Solomon Codes

Partially Parallel Low-Complexity Chase Decoding of Reed-Sol...

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IEEE Globecom Workshops

作者： Jiwei Liang Lijia Yang Li Chen School of System Science and Engineering Sun Yat-sen University Guangzhou China School of Electronics and Communication Technology Sun Yat-sen University Shenzhen China School of Electronics and Information Technology Sun Yat-sen University Guangzhou China

ISBN: (纸本)9781665459761

This paper proposes the partially parallel low-complexity Chase (PPLCC) decoding for Reed-Solomon (RS) codes. With the formulated test-vectors, the Kötter’s interpolation based Chase decoding events are processed in a partially parallel manner, maintaining both low decoding complexity and latency. The decoding will be terminated once a codeword candidate that satisfies the maximum-likelihood (ML) criterion is found. Furthermore, a skipping rule is introduced to reduce the decoding complexity by assessing the Hamming distance between an estimated codeword and the test-vector. Simulation results show that the proposed PPLCC decoding achieves an improved tradeoff between decoding complexity and latency over several benchmark decoding schemes.

关键词： Reed-Solomon codes Interpolation Maximum likelihood estimation Codes Simulation Conferences Benchmark testing

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Fclfusion: A Frequency-Aware and Collaborative Learning for Infrared and Visible Image Fusion

SSRN

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SSRN 2024年

作者： Wang, Chengchao Pu, Yuanyuan Zhao, Zhengpeng Nie, Rencan Cao, Jinde Xu, Dan College of Information Science and Engineering Yunnan University Kunming650500 China College of Mathematics Southeast University Nanjing210096 China Yonsei Frontier Lab Yonsei University Korea Republic of The Universities Key Laboratory of Internet of Things Technology and Application in Yunnan Kunming650500 China

Infrared and visible image fusion (IVIF) aims at integrate the advantages of difference modal image. Most existing deep learning-based methods often focus on single IVIF task and ignore the effect of frequency information on the fusion results, which not fully preserve salient structures and important texture details. The core idea of this paper is based on the following observation: (1) image content can be characterized by different frequency domain components, low frequency is the base information, such as saliency structure, while the texture detail information is located in the high-frequency. (2) multi-tasks learning general achieve better performance than single-task. Based on these observations, we propose a fusion model with Frequency-aware and Collaborative Learning (FCLFusion) from the frequency domain perspective. This model takes image fusion as the main task and introduce image reconstruction as an auxiliary task to collaboratively optimize the network, thereby improves the fusion quality. Specifically, we transform spatial domain features to the frequency domain and develops a frequency feature fusion module for guiding the primary network to generate the fused image. The sub-network generates the reconstructed images. Also, we preserve the saliency and details features via frequency skip connections. Moreover, we propose a hybrid loss function that consisting of two terms: frequency loss and self-supervised reconstruction loss. The former aims at prevent information loss in the frequency domain, while the latter improves the extraction of vital information. Through a comparative study, extensive experiments verified that FCLFusion achieves superior performance in three public datasets. © 2024, The Authors. All rights reserved.

关键词： Image fusion

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Quantum Noise Secured Terahertz Communications

Quantum Noise Secured Terahertz Communications

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2023 Optical Fiber Communications Conference and Exhibition, OFC 2023

作者： Deng, Qiuzhuo Zhang, Lu Zhang, Hongqi Yang, Zuomin Pang, Xiaodan Bobrovs, Vjaceslavs Popov, Sergei Wu, Yixin Yu, Xiongbin Ozolins, Oskars Yu, Xianbin College of Information Science and Electrical Engineering Zhejiang University Hangzhou310027 China Zhejiang Lab Hangzhou311121 China Department of Applied Physics Kth Royal Institute of Technology Stockholm106 91 Sweden Rise Research Institutes of Sweden Kista16440 Sweden Institute of Telecommunications Riga Technical University RigaLV-1048 Latvia Institute of Strategic Research Huawei Technologies Company Ltd Shenzhen518055 China

The quantum noise based terahertz signal encryption scheme is proposed, a 16 Gbits-1 secure terahertz communication system at 300 GHz with the optical communication realms is demonstrated, taking a significant step to... 详细信息

ISBN: (纸本)9781957171180

关键词： Quantum noise

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