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2021 International Foundations Congress and Equipment Expo: From Traditional to Emerging Geotechnics, IFCEE 2021

作者： Liu, Rui Offenbacker, Daniel Zhu, Cheng Schmalzel, John Mehta, Yusuf Barrowes, Benjamin Glaser, Danney Lein, Wade Center for Research and Education in Advanced Transportation Engineering Systems Dept. of Civil and Environmental Engineering Rowan Univ. GlassboroNJ United States Dept. of Electrical and Computer Engineering Rowan Univ. GlassboroNJ United States Center for Research and Education in Advanced Transportation Engineering Dept. of Civil and Environmental Engineering Rowan Univ. GlassboroNJ United States Cold Regions Research and Engineering Laboratory U.S. Army Engineer Research and Development Center HanoverNH United States

ISBN: (数字)9780784483428

In this study, we carry out lab-scale 1D electrical resistivity measurements of frost-susceptible clayey sands, focusing on several major influencing factors including initial water content, soil density, temperature, and freezing/thawing conditions. Soil columns are configured following a four-pole type Wenner electrode array and placed in an environmental chamber to reach target temperatures (-20°C to 0°C). We use a portable resistivity meter for temporal electrical resistivity measurements and thermocouples for temperature measurements. Experimental results highlight the significant dependence of soil electrical resistivity on temperature. Above the freezing point, higher initial liquid water content and larger bulk density decrease the electrical resistivity. Below the freezing point, soil resistivity increases with decreasing temperature. We observe a hysteresis effect on the evolution of electrical resistivity during the freeze thaw cycle. This study presents a relationship between the electrical resistivity of frozen soil and the key governing parameters. © ASCE.

关键词： Thermocouples

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Mitigating interfacial carrier crowding by an ultrathin LiF interlayer towards efficient and stable perovskite light-emitting diodes

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Moore and More 2024年第1期1卷 1-9页

作者： Zhang, Xiaofei Wang, Lin Kong, Lingmei Wang, Sheng Dai, Jun Jia, Guohua Yang, Xuyong Key Laboratory of Advanced Display and System Applications of Ministry of Education Shanghai University Shanghai China Department of Physics Jiangsu University of Science and Technology Zhenjiang China School of Molecular and Life Sciences Curtin University Perth Australia Shanghai Engineering Research Center for Integrated Circuits and Advanced Display Materials Shanghai University Shanghai China

Quasi-two-dimensional (quasi-2D) perovskite-based light-emitting diodes (PeLEDs) have attracted intensive attention due to their high quantum yields, tunable emission wavelengths, and solution-processing capability, showing great potential in next-generation display and lighting applications. However, further performance enhancement in PeLEDs is severely limited by the uncontrolled transfer of charge carriers under bias, leading to crowding of interfacial carriers and severe efficiency roll-off. Herein, we insert an ultra-thin dielectric buffer layer of lithium fluoride (LiF) into the electron transport layer (ETL) to regulate the transfer dynamics of electrons and passivate the interfacial defects simultaneously. The dielectric LiF interlayer can effectively reduce the efficiency roll-off in PeLEDs by improving the charge balance through preventing the overwhelming injection of electrons. Moreover, the fluoride anions from LiF can passivate the surface defects of the perovskite film, enhancing the radiative recombination. As a result, the LiF interlayer-assisted quasi-2D PeLED presents an outstanding external quantum efficiency (EQE) of 24.03% and a maximum brightness of 30 845 cd m−2. The operational stability of the device is also extended, with a half-lifetime (T50) of 71.28 min (at an initial luminance of 1 000 cd m−2), which is 7.4-fold longer than that for the control device.

关键词： Perovskite light-emitting diodes Efficiency roll-off LiF interlayer Charge balance Defect passivation

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Small-Target Infrastructure Detection with Spatial Tracking and Multi-Level Feature Extraction of Railway Track Scenes

Small-Target Infrastructure Detection with Spatial Tracking ...

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Intelligent Communication, Sensing and Electromagnetics (ICSE), International Conference on

作者： Heng Du Huaiming Cang Yiwen Bai Xinyi Wang Beijing Elephant Technology Co. Ltd Beijing China School of Transportation Science and Engineering Beihang University Beijing China The State Key Lab of Intelligent Transportation System Beijing China Tianjin Key Laboratory for Advanced Mechanical System Design and Intelligent Control School of Mechanical Engineering Tianjin University of Technology Tianjin China National Demonstration Center for Experimental Mechanical and Electrical Engineering Education (Tianjin University of Technology) Tianjin China

ISBN: (数字)9798350354935

ISBN: (纸本)9798350354942

In the field of railway transportation, with the continuous improvement of train running speed and the continuous increase of operating mileage, it becomes particularly important to ensure the safety and integrity of small-target infrastructure along the railway train. Although many small-target detection methods have been proposed, the research on small-target infrastructure detection along rail trains is very rare. To solve this problem, this paper proposes a small-target infrastructure detection network with spatial tracking and multi-level feature extraction based on Yolov8n. The experimental results show that ST-YOLO has a 3.6% mAP improvement on the OSDaR23 dataset compared to the baseline Yolov8n, and shows significant advantages over other state-of-the-art methods.

关键词： Rails transportation Railway safety Switches Feature extraction Rail transportation Real-time systems Sensors Safety Monitoring

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Electrode materials for brain-machine interface:A review

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InfoMat 2021年第11期3卷 1174-1194页

作者： Nan Wu Shu Wan Shi Su Haizhou Huang Guangbin Dou Litao Sun SEU-FEI Nano-Pico Center Key Laboratory of MEMS of Ministry of EducationCollaborative Innovation Center for Micro/Nano FabricationDevice and SystemSoutheast UniversityNanjingChina Key Laboratory of Optoelectronic Technology and Systems Ministry of EducationKey Disciplines Laboratory of Novel Micro-Nano Devices and System TechnologySchool of Optoelectronics EngineeringChongqing UniversityChongqingChina Center for Advanced Materials and Manufacture Joint Research Institute of Southeast University and Monash UniversitySuzhouChina Center for Advanced Carbon Materials Southeast University and Jiangnan Graphene Research InstituteChangzhouChina

Brain-machine interface(BMI)is a device that translates neuronal information into commands,which is capable of controlling external software or hardware,such as a computer or robotic *** consequence,the electrodes with desirable electrical and mechanical properties for direct interacting between neural tissues and machines serves as the crucial and critical part of BMI ***,the development of material science provides many advanced electrodes for neural stimulating and ***,the widespread applications of nanotechnologies have innovatively introduced biocompatible electrode that can have similar characteristics with neural *** paper reviews the existing problems and discusses the latest development of electrode materials for BMI,including conducting polymers,silicon,carbon nanowires,graphene,and hybrid organic-inorganic *** addition,we will inspect at the technical and scientific challenges in the development of neural electrode for a broad application of BMI with focus on the biocompatibility,mechanical mismatch,and electrical performance of electrode materials.

关键词： biocompatibility brain-machine interface electrode materials implantable device

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Inhibitor of DNA binding 2 accelerates nerve regeneration after sciatic nerve injury in mice

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Neural Regeneration research 2021年第12期16卷 2542-2548页

作者： Zhong-Hai Huang Ai-Ying Feng Jing Liu Libing Zhou Bing Zhou Panpan Yu Guangdong-Hong Kong-Macao Institute of Central Nervous System Regeneration Ministry of Education Joint International Research Laboratory of Central Nervous System RegenerationJinan UniversityGuangzhouGuangdong ProvinceChina Interdisciplinary Innovation Institute of Medicine and Engineering Beijing Advanced Innovation Center for Big Data-Based Precision MedicineBeihang UniversityBeijingChina

Inhibitor of DNA binding 2(Id2)can promote axonal regeneration after injury of the central nervous ***,whether Id2 can promote axonal regeneration and functional recovery after peripheral nerve injury is currently *** this study,we established a mouse model of bilateral sciatic nerve crush *** weeks before injury,AAV9-Id2-3×Flag-GFP was injected stereotaxically into the bilateral ventral horn of lumbar spinal *** results showed that Id2 was successfully delivered into spinal cord motor neurons projecting to the sciatic nerve,and the number of regenerated motor axons in the sciatic nerve distal to the crush site was increased at 2 weeks after injury,arriving at the tibial nerve and reinnervating a few endplates in the gastrocnemius *** 1 month after injury,extensive neuromuscular reinnervation *** addition,the amplitude of compound muscle action potentials of the gastrocnemius muscle was markedly recovered,and their latency was *** findings suggest that Id2 can accelerate axonal regeneration,promote neuromuscular reinnervation,and enhance functional improvement following sciatic nerve ***,elevating the level of Id2 in adult neurons may present a promising strategy for peripheral nerve repair following *** study was approved by the Experimental Animal Ethics Committee of Jinan University(approval No.20160302003)on March 2,2016.

关键词： axonal regeneration functional recovery inhibitor of DNA binding 2 motor neuron neuromuscular junctions peripheral nerve reinnervation sciatic nerve injury

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SC-NeRF: Self-Correcting Neural Radiance Field with Sparse Views

arXiv

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arXiv 2023年

作者： Song, Liang Wang, Guangming Liu, Jiuming Fu, Zhenyang Miao, Yanzi Wang, Hesheng Engineering Research Center of Intelligent Control for Underground Space Ministry of Education School of Information and Control Engineering Advanced Robotics Research Center China University of Mining and Technology Xuzhou221116 China Department of Automation Key Laboratory of System Control and Information Processing of Ministry of Education Key Laboratory of Marine Intelligent Equipment and System of Ministry of Education Shanghai Engineering Research Center of Intelligent Control and Management Shanghai Jiao Tong University Shanghai200240 China

In recent studies, the generalization of neural radiance fields for novel view synthesis task has been widely explored. However, existing methods are limited to objects and indoor scenes. In this work, we extend the generalization task to outdoor scenes, trained only on object-level datasets. This approach presents two challenges. Firstly, the significant distributional shift between training and testing scenes leads to black artifacts in rendering results. Secondly, viewpoint changes in outdoor scenes cause ghosting or missing regions in rendered images. To address these challenges, we propose a geometric correction module and an appearance correction module based on multi-head attention mechanisms. We normalize rendered depth and combine it with light direction as query in the attention mechanism. Our network effectively corrects varying scene structures and geometric features in outdoor scenes, generalizing well from object-level to unseen outdoor scenes. Additionally, we use appearance correction module to correct appearance features, preventing rendering artifacts like blank borders and ghosting due to viewpoint changes. By combining these modules, our approach successfully tackles the challenges of outdoor scene generalization, producing high-quality rendering results. When evaluated on four datasets (Blender, DTU, LLFF, Spaces), our network outperforms previous methods. Notably, compared to MVSNeRF, our network improves average PSNR from 19.369 to 25.989, SSIM from 0.838 to 0.889, and reduces LPIPS from 0.265 to 0.224 on Spaces outdoor scenes. © 2023, CC BY.

关键词： Rendering (computer graphics)

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A Low Delay AES Round Transform Architecture Using Constant Matrix Multiplications Merging Technologies 17

A Low Delay AES Round Transform Architecture Using Constant ...

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17th IEEE Conference on Industrial Electronics and Applications, ICIEA 2022

作者： Zheng, Xinxing Zhang, Xiaoqiang Yang, Fan Xu, Mingyu Yan, Han Wuhu Institute of Technology College of Information Engineering Wuhu China Key Laboratory of Advanced Perception and Intelligent Control of High-end Equipment Ministry of Education Wuhu China Engineering Research Center of Vehicle-Mounted Display Integration System Wuhu China Anhui Polytechnic University College of Electrical Engineering Wuhu China

ISBN: (纸本)9781665409841

This paper presents a low delay architecture design method for the hardware implementation of the advanced Encryption Standard (AES) algorithm. The proposed architecture is designed by using constant matrix multiplications (CMM) merging technologies. To reduce the area cost in hardware implementations, S-box/InvS-box is usually implemented with composite field arithmetic (CFA) technologies. In this paper, CMM in CFA-based S-box/InvS-box are further merged with constant coefficient multiplications in MixColumns/ InvMixColumns, which can also be expressed as CMM forms. By the merging, the delay of the hardware implementation of encryption round transform is reduced at the cost of slight area cost increasing, and both delay and area cost are reduced in hardware implementations of decryption round transform. Hardware complexities analysis indicates that our designs have less delay compared with previous works. © 2022 IEEE.

关键词： Cryptography

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CDP-GAN:Near-Infrared and Visible Image Fusion Via Color Distribution Preserved GAN

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IEEE/CAA Journal of Automatica Sinica 2022年第9期9卷 1698-1701页

作者： Jun Chen Kangle Wu Yang Yu Linbo Luo the School of Automation Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex SystemsEngineering Research Center of Intelligent Technology for Geo-ExplorationMinistry of EducationChina University of GeosciencesWuhan 430074China the Shanghai Institute of Technical Physics Key Laboratory of Infrared System Detecting and Imaging TechnologyChinese Academy of SciencesShanghai 200083China the School of Mechanical Engineering and Electronic Information China University of GeosciencesWuhan 430074China

Dear Editor,This letter is concerned with dealing with the great discrepancy between near-infrared(NIR)and visible(VS)image fusion via color distribution preserved generative adversarial network(CDP-GAN).Different from the global discriminator in prior GAN,conflict of preserving NIR details and VS color is resolved by introducing an attention guidance mechanism into the ***。

关键词： details dealing preserving

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Nonlinear health evaluation for lithium-ion battery within full-lifespan

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Journal of Energy Chemistry 2022年第9期31卷 333-341,I0010页

作者： Heze You Jiangong Zhu Xueyuan Wang Bo Jiang Hao Sun Xinhua Liu Xuezhe Wei Guangshuai Han Shicong Ding Hanqing Yu Weihan Li Dirk Uwe Sauer Haifeng Dai School of Automotive Studies Tongji UniversityShanghai 201804China National Fuel Cell Vehicle&Powertrain System Research&Engineering Center Shanghai 201804China Institute for Advanced Study Tongji UniversityShanghai 200092China Shanghai AI NEV Innovative Platform Co. Ltd.Shanghai 201804China School of Transportation Science and Engineering Beihang UniversityBeijing 100191China Chair for Electrochemical Energy Conversion and Storage Systems Institute for Power Electronics and Electrical Drives(ISEA)RWTH Aachen UniversityAachen 52062Germany

Lithium-ion batteries(LIBs), as the first choice for green batteries, have been widely used in energy storage, electric vehicles, 3C devices, and other related fields, and will have greater application prospects in the future. However, one of the obstacles hindering the future development of battery technology is how to accurately evaluate and monitor battery health, which affects the entire lifespan of battery use. It is not enough to assess battery health comprehensively through the state of health(SoH) alone, especially when nonlinear aging occurs in onboard applications. Here, for the first time, we propose a brand-new health evaluation indicator—state of nonlinear aging(SoNA) to explain the nonlinear aging phenomenon that occurs during the battery use, and also design a knee-point identification method and two SoNA quantitative methods. We apply our health evaluation indicator to build a complete LIB full-lifespan grading evaluation system and a ground-to-cloud service framework, which integrates multi-scenario data collection, multi-dimensional data-based grading evaluation, and cloud management functions. Our works fill the gap in the LIBs’ health evaluation of nonlinear aging, which is of great significance for the health and safety evaluation of LIBs in the field of echelon utilization such as vehicles and energy storage. In addition, this comprehensive evaluation system and service framework are expected to be extended to other battery material systems other than LIBs, yet guiding the design of new energy ecosystem.

关键词： Lithium-ion battery State of nonlinear aging Knee-point Grading evaluation system Echelon utilization

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Health benefits from the rapid reduction in ambient exposure to air pollutants after China's clean air actions:progress in efficacy and geographic equality

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National Science Review 2024年第2期11卷 103-113页

作者： Tao Xue Ruohan Wang Meng Wang Yanying Wang Dan Tong Xia Meng Conghong Huang Siqi Ai Fangzhou Li Jingyuan Cao Mingkun Tong Xueqiu Ni Hengyi Liu Jianyu Deng Hong Lu Wei Wan Jicheng Gong Shiqiu Zhang Tong Zhu Institute of Reproductive and Child Health National Health Commission Key Laboratory of Reproductive Health/Department of Epidemiology and Biostatistics Ministry of Education Key Laboratory of Epidemiology of Major Diseases(PKU) School of Public Health Peking University Health Science Centre State Environmental Protection Key Laboratory of Atmospheric Exposure and Health Risk Management and Center for Environment and Health Peking University Advanced Institute of Information Technology Peking University Department of Epidemiology and Environmental Health School of Public Health and Health ProfessionsUniversity at Buffalo State Key Joint Laboratory of Environment Simulation and Pollution Control College of Environmental Sciences and EngineeringPeking University Department of Earth System Science Tsinghua University School of Public Health Key Laboratory of Public Health Safety of the Ministry of Education and Key Laboratory of Health Technology Assessment of the Ministry of HealthFudan University College of Land Management Nanjing Agricultural University National&Local Joint Engineering Research Center for Rural Land Resources Use and Consolidation Clean Air Asia

Clean air actions （CAAs） in China have been linked to considerable benefits in public ***,whether the beneficial effects of CAAs are equally distributed geographically is *** high-resolution maps of the distributions of major air pollutants (fine particulate matter[PM2.5]and ozone[O3]) and population,we aimed to track spatiotemporal changes in health impacts from,and geographic inequality embedded in,the reduced exposures to PM2.5and O3from 2013 to *** used a method established by the Global Burden of Diseases *** analyzing the changes in loss of life expectancy（LLE） attributable to PM2.5and O3,we calculated the gain of life expectancy （GLE） to quantify the health benefits of the air-quality ***,we assessed the geographic inequality embedded in the GLE using the Gini index （GI）.Based on risk assessments of PM2.5and O3,during the first stage of CAAs（2013 to 2017）,the mean GLE was 1.87 *** of the sum of the GLE was disproportionally distributed in about one quarter of the population exposed （GI 0.44）.During the second stage of CAAs（2017 to 2020）,the mean GLE increased to 3.94 months and geographic inequality decreased （GI 0.18）.According to our assessments,CAAs were enhanced,from the first to second stages,in terms of not only preventing premature mortality but also ameliorating health *** enhancements were related to increased sensitivity to the health effects of air pollution and synergic control of PM2.5and *** findings will contribute to optimizing future CAAs.

关键词： clean air action public health inequality fine particulate matter ozone

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