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Perception of pleasure in the urban running environment with street view images and running routes

Journal of Geographical sciences 2022年第12期32卷 2624-2640页

作者： ZHANG An SONG Liuyi ZHANG Fan State Key Laboratory of Resources and Environmental Information System Institute of Geographic Sciences and Natural Resources ResearchCASBeijing 100101China College of Resources and Environment University of Chinese Academy of SciencesBeijing 100190China Department of Civil and Environmental Engineering The Hong Kong University of Science and TechnologyHong KongChina

The urban environment affects human behavior and *** studies on the feelings of street spaces have not considered a specific kind of realistic scene,such as *** overcome this limitation,we explored the relationship between the urban environment and the pleasure of *** collected 8260 street view images from 153 running routes in Beijing and invited more than 400 volunteers of different genders and ages to rate their sense of pleasure in street view images of the urban running environment through an online ***,the proportion of visual elements in street images was extracted based on semantic segmentation,and the landscape was ***,a linear mixed model was used to predict the pleasure scores of different gender and age groups for different *** results show significant differences in the pleasure scores for different landscapes and age ***-aged people’s sense of pleasure was lower than that of the young and the *** greenery was associated with a higher pleasure score,while the proportion of urban elements such as buildings was negatively correlated with the pleasure *** results indicate that running in a natural landscape is pleasurable and beneficial for mental health.

关键词： pleasure assessment running routes street view landscape types age groups

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A Voxel Classification and Deletion Strategy for LiDAR-based 3D Object Detection

A Voxel Classification and Deletion Strategy for LiDAR-based...

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第43届中国控制会议

作者： Fang Chen Zheng Li Zhiqiang Zuo Yijing Wang Tianjin Key Laboratory of Intelligent Unmanned Swarm Technology and System School of Electrical and Information Engineering Tianjin University

ISBN: (数字)9789887581581

ISBN: (纸本)9798350366907

LiDAR-based 3D object detection plays an important role in autonomous driving. Among them, voxel-based methods have found wide applications in industrial deployments. This paper proposes a strategy to alleviate the imbalance in the numbers of foreground points and background points with the help of voxel classification(VoxCls) and voxel deletion(VoxDel). It can significantly improve the performance of voxel-based models without changing the network inference structure. First, a binary classification is developed to guide the network in distinguishing foreground voxels from background voxels. By doing so,the features of voxels implicitly incorporate information about both foreground and background. Second, background voxels are filtered based on VoxCls to solve the imbalance issue between foreground and background. Finally, experimental results demonstrate the effectiveness of enhancing voxel-based 3D object detection performance.

关键词： LiDAR 3D object detection Voxel classification Voxel deletion

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A backdoor attack defense scheme in federated learning 4

A backdoor attack defense scheme in federated learning

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4th IEEE International Conference on information technology, Big Data and Artificial Intelligence, ICIBA 2024

作者： Jing, Zhongyuan Jing, Hailu Chongqing University of Posts and Telecommunications School of Communications and Information Engineering China Chongqing Key Laboratory of Ubiquitous Sensing and Networking China University of Electronic Science and Technology of China Institute of Aerospace Chengdu China

ISBN: (纸本)9798350363586

Federated learning allows for the effective flow of data value without leaving the local environment. It is considered an effective method for balancing data sharing and privacy protection in the context of the Internet of Things. However, federated learning systems are susceptible to Byzantine attacks and inference attacks, resulting in compromised system robustness and data privacy. A secure federated learning algorithm DP-FLABA based on gradient local density is proposed to address the Byzantine attack problem in the federated learning framework. This algorithm calculates the local density of each client gradient to determine whether the client is a Byzantine client, and then designs corresponding weights for weighted aggregation based on the local density of the secure gradient. At the same time, in response to privacy leakage issues, adaptive pruning and denoising techniques are adopted to protect model parameters. We have ensured data privacy while considering model robustness and accuracy, and theoretically analyzed the privacy of the protocol. The simulation results show that this scheme can effectively resist Byzantine attacks and inference attacks. © 2024 IEEE.

关键词： Federated learning

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Complex-amplitude Fourier single-pixel imaging via coherent structured illumination

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Chinese Physics B 2023年第6期32卷 236-241页

作者：侯红云赵亚楠韩佳成曹德忠张素恒刘宏超梁宝来 Hebei Key Laboratory of Optic-Electronic Information and Materials College of Physics Science&TechnologyHebei UniversityBaoding 071002China Department of Physics Yantai UniversityYantai 264005China Institute of Applied Physics and Materials Engineering University of MacaoAvenida da UniversidadeTaipaMacao SARChina

We propose a method of complex-amplitude Fourier single-pixel imaging(CFSI)with coherent structured illumination to acquire both the amplitude and phase of an *** the proposed method,an object is illustrated by a series of coherent structured light fields,which are generated by a phase-only spatial light modulator,the complex Fourier spectrum of the object can be acquired sequentially by a single-pixel *** the desired complex-amplitude image can be retrieved directly by applying an inverse Fourier *** experimentally implemented this CFSI with several different types of *** experimental results show that the proposed method provides a promising complex-amplitude imaging approach with high quality and a stable ***,it might find broad applications in optical metrology and biomedical science.

关键词： complex-amplitude imaging single-pixel imaging Fourier basis scan coherent structured illumination

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MXene-deposited elliptical microfiber knot resonator for temperature sensing

MXene-deposited elliptical microfiber knot resonator for tem...

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2023 Conference on Lasers and Electro-Optics, CLEO 2023

作者： Wu, Q. Ran, J. Zhao, G. Zhang, M. Heilongjiang Province Key Laboratory of Laser Spectroscopy Technology and Application Harbin University of Science and Technology Harbin150080 China School of Electronic and Information Engineering Beihang University Beijing100191 China

We demonstrate an all-fiber temperature sensor based on an MXene-deposited elliptical microfiber knot resonator, showing a large free spectral range of 8.8 nm and a high sensitivity of 3.5 dB/°C. Our work highlig... 详细信息

ISBN: (纸本)9781957171258

关键词： Resonators

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Semantic SLAM Based on Compensated Segmentation and Geometric Constraints in Dynamic Environments 6

Semantic SLAM Based on Compensated Segmentation and Geometri...

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6th Asian Conference on Artificial Intelligence technology, ACAIT 2022

作者： Fang, Baofu Zhou, Shuai Wang, Hao Hefei University of Technology Key Laboratory of Knowledge Engineering with Big Data Hefei University of Technology School of Computer Science and Information Engineering Hefei China

ISBN: (纸本)9781665453110

Most of the existing slam algorithms are designed based on the assumption of a static environment, this strong assumption limits the practical application of most slam systems. The main reason is that moving objects will cause feature mismatch in the pose estimation process, which in turn affects the accuracy of localization and mapping. In this paper, we propose a SLAM algorithm in a dynamic environment. First, we use the BlendMask network to detect potential moving objects to generate masks for dynamic objects. The geometrically constrained joint optical flow method is used to detect dynamic feature points. Secondly, aiming at the failure of semantic segmentation network segmentation, a missed detection compensation algorithm based on the invariance of adjacent frame speed is proposed. Finally, a keyframe selection strategy is proposed to construct a semantic octree graph containing only static objects. We evaluate our algorithm on TUM RGB-D and real scene datasets. The experimental results show that the algorithm has high accuracy and real-time performance. © 2022 IEEE.

关键词： Semantics

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Oxidized organic molecules in the tropical free troposphere over Amazonia

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National science Review 2024年第1期11卷 174-184页

作者： Qiaozhi Zha Diego Aliaga Radovan Krejci Victoria A.Sinclair Cheng Wu Giancarlo Ciarelli Wiebke Scholz Liine Heikkinen Eva Partoll Yvette Gramlich Wei Huang Markus Leiminger Joonas Enroth Otso Per?kyl? Runlong Cai Xuemeng Chen Alkuin Maximilian Koenig Fernando Velarde Isabel Moreno Tuukka Pet?j? Paulo Artaxo Paolo Laj Armin Hansel Samara Carbone Markku Kulmala Marcos Andrade Douglas Worsnop Claudia Mohr Federico Bianchi Institute for Atmospheric and Earth System Research/Physics University of Helsinki Joint International Research Laboratory of Atmospheric and Earth System Sciences Nanjing University Department of Environmental Science & Bolin Centre for Climate Research Stockholm University Department of Chemistry and Molecular Biology University of Gothenburg Institute for Ion and Applied Physics University of Innsbruck Ionicon Analytik GmbH Laboratory for Atmospheric Physics Institute for Physics Research Universidad Mayor de San Andrés Institute of Physics University of Sao Paulo Institute for Geosciences and Environmental Research (IGE) University of Grenoble Alpes Agrarian Sciences Institute Federal University of Uberl?ndia Beijing Advanced Innovation Center for Soft Matter Science and Engineering Beijing University of Chemical Technology Department of Atmospheric and Oceanic Sciences University of Maryland Aerodyne Research Inc. Department of Environmental System Science ETH Zürich Switzerland and Laboratory of Atmospheric Chemistry Paul Scherrer Institute

New particle formation(NPF) in the tropical free troposphere(FT) is a globally important source of cloud condensation nuclei, affecting cloud properties and climate. Oxidized organic molecules(OOMs)produced from biogenic volatile organic compounds are believed to contribute to aerosol formation in the tropical FT, but without direct chemical observations. We performed in situ molecular-level OOMs measurements at the Bolivian station Chacaltaya at 5240 m above sea level, on the western edge of Amazonia. For the first time, we demonstrate the presence of OOMs, mainly with 4–5 carbon atoms, in both gas-phase and particle-phase(in terms of mass contribution) measurements in tropical FT air from Amazonia. These observations, combined with air mass history analyses, indicate that the observed OOMs are linked to isoprene emitted from the rainforests hundreds of kilometers away. Based on particle-phase measurements, we find that these compounds can contribute to NPF, at least the growth of newly formed nanoparticles, in the tropical FT on a continental scale. Thus, our study is a fundamental and significant step in understanding the aerosol formation process in the tropical FT.

关键词： oxidized organic molecules tropical aerosol formation Amazon free troposphere

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Indoor Navigation Network Model Construction Method Based on Building information Model

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Journal of Geographic information system 2023年第4期15卷 367-378页

作者： Ruirong Guo Chaokui Li Haibin Guo National-Local Joint Engineering Laboratory of Geo-Spatial Information Technology Xiangtan China School of Earth Science and Spatial Information Engineering Hunan University of Science and Technology Xiangtan China

In view of the poor information integrity of the 3D model used to make the indoor road network and the lack of versatility of the constructed indoor road network, a method for building an indoor navigation network model that can be seamlessly connected with outdoor paths is proposed in this paper. First, the IFC model is converted to the CityGML model using the BIM model as the indoor data source. Then, using GIS technology and limited Delaunay triangulation refinement algorithm, the necessary elements of indoor navigate on network model such as semantic information, geometric information and topological relationship contained in CityGML model are extracted. Finally, it is visualized and verified based on experimental model data. The results show that the indoor navigation network model constructed based on the CityGML model can accurately perform indoor navigation, make the constructed road network more general, and provide reference and technical support for the integrated construction of indoor and outdoor road network models.

关键词： IFC CityGML Indoor Navigation Network Delaunay Dijkstra Integrated Navigation

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Functional plastic films:nano-engineered composite based flexible microwave antennas with near-unity relative visible transmittance

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Light(Advanced Manufacturing) 2024年第2期5卷 95-105页

作者： Cheng Zhang Liang Zhu Chengang Ji Zhilu Ye Nabeel Alsaab Minye Yang Yuhui Hu Pai-Yen Chen L.Jay Guo School of Optical and Electronic Information&Wuhan National Laboratory for Optoelectronics Huazhong University of Science and TechnologyWuhan430074China Department of Electrical and Computer Engineering University of Illinois at ChicagoChicagoIL 60607USA Department of Electrical Engineering and Computer Science University of MichiganAnn ArborMI 48109USA

Microwave antennas are essential elements for various applications,such as telecommunication,radar,sensing,and wireless power *** antennas are conventionally manufactured on rigid substrates using opaque materials,such as metal strips,metallic tapes,or epoxy pastes;thus,prohibiting their use in flexible and wearable devices,and simultaneously limiting their integration into existing optoelectronic ***,we demonstrate that mechanically flexible and optically transparent microwave antennas with high operational efficiencies can be readily fabricated using composite nanolayers deposited on common plastic *** composite nanolayer structure consists of an ultra-thin copper-doped silver film sandwiched between two dielectric films of tantalum pentoxide and aluminum *** material and thickness of each constituent layer are judiciously selected such that the whole structure exhibits an experimentally measured averaged visible transmittance as high as 98.94%compared to a bare plastic substrate,and simultaneously,a sheet resistance as low as 12.5Ω/*** representative types of microwave antennas are implemented:an omnidirectional dipole antenna,unidirectional Yagi-Uda antenna,low-profile patch antenna,and Fabry-Pérot cavity *** devices exhibit great mechanical flexibility with bending angle over 70°,high gain of up to 13.6 dBi,and large radiation efficiency of up to 84.5%.The proposed nano-engineered composites can be easily prepared over large areas on various types of substrates and simultaneously overcome the limitations of poor mechanical flexibility,low electrical conductivity,and reduced optical transparency usually faced by other constituent materials for flexible transparent microwave *** demonstrated flexible microwave antennas have various applications ranging from fifth-generation and vehicular communication systems to bio-signal monitors and wearable electronics.

关键词： Optically transparent antenna Flexible microwave antenna Transparent conductor Ultra-thin silver Doped silver Wearable optoelectronics

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ASPCD-UNet: An Improved Network for Change Detection

ASPCD-UNet: An Improved Network for Change Detection

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International Conference on Image, Vision and Intelligent systems, ICIVIS 2023

作者： Wang, Kangyi Han, Tianhao Dong, Jiwen Fu, Hanghang Niu, Sijie School of Information Science and Engineering University of Jinan Jinan250022 China Shandong Provincial Key Laboratory of Network-Based Intelligent Computing Jinan250022 China Shandong Hongye Information Technology Co. Ltd. Jinan250013 China

ISBN: (纸本)9789819708543

Change detection (CD) is used to identify the required significant changes between two-phase images. High-resolution remote sensing image CD plays an important role in land and resources planning, military strategy research, geological exploration research, natural disaster prediction and other fields. Given two identical registration photographs taken at various times, lighting or seasonal changes are frequently present, as well as other issues such significant changes in the image of the real thing. Despite these issues, the real object's small size and its boundary changes are still a concern. Therefore, we propose a Siam network based on UNet to solve some subtle problems in CD for edge information and small object detection. The original convolutional module in our UNet network is improved into an optimization module in the form of jumper connections, a pyramidal pool module is added at the bottom of the encoder to better extract global information, and these changes together create an improved ASPCD-UNet network model. The model training is based on cross-entropy loss function, with a variety of optimization strategies to achieve end-to-end ground object change information extraction. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Change detection

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