检索结果-南通市图书馆

Frontiers of information Technology & Electronic engineering 2024年第4期25卷 600-615页

作者： Shilei tu Huiquan wang Yue HUANG Zhonghe JIN Micro-Satellite Research Center Zhejiang UniversityHangzhou 310027China Key Laboratory of Micro-Nano Satellite Research Zhejiang ProvinceHangzhou 310027China

With the development of satellite miniaturization and remote sensing,the establishment of microsatellite constellations is an inevitable *** to their limited size,weight,and power,spaceborne storage systems with excellent scalability,performance,and reliability are still one of the technical bottlenecks of remote sensing *** on the commercial off-the-shelf field-programmable gate array and memory devices,a spaceborne advanced storage system(SASS)is proposed in this *** work provides a dynamic programming,queue scheduling multiple-input multiple-output cache technique and a high-speed,high-reliability NAND flash controller for multiple microsatellite payload *** results show that SASS has outstanding scalability with a maximum write rate of 2429 Mb/s and preserves at least 78.53%of the performance when a single NAND flash *** scheduling technique effectively shortens the data scheduling time,and the data remapping method of the NAND flash controller can reduce the retention error by at least 50.73%and the program disturbance error by at least 37.80%.

关键词： Microsatellite Spaceborne advanced storage system(SASS) Scalability Performance Reliability

Heterointerface engineering of assembled CoP_(2) on N-modified carbon as efficient trifunctional electrocatalysts for Zn-Air batteries and overall water splitting

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Nano Research 2024年第5期17卷 3801-3809页

作者： Yan Chen Zhenrui Yang Juan wang Yun Yang Xuedong He Yang wang Jiadong Chen yaqing Guo Xin wang Shun wang Huile Jin Wenzhou Key Lab of Advanced Energy Storage and Conversion Zhejiang Province Key Lab of Leather EngineeringCollege of Chemistry and Materials EngineeringWenzhou UniversityWenzhou 325035China Zhejiang engineering Research Center for Electrochemical Energy Materials and Devices Institute of New Materials and Industrial TechnologiesWenzhou UniversityWenzhou 325035China School of Chemical and Biomedical engineering Nanyang Technological UniversitySingapore 637459Singapore

Enhancing catalytic activity through modulating the interaction between N-doped carbon and metal phosphides clusters is an effective ***,the electronic structure modulation of CoP_(2) supported N-modified carbon(CoP_(2)/NC)has been designed and prepared as efficient electrocatalysts for oxygen reduction reaction(ORR),oxygen evolution reaction(OER),and hydrogen evolution reaction(HER).Notably,CoP_(2)/NC-1 catalyst exhibits impressive performance in alkaline media,with an ORR half-wave potential of 0.84 V,as well as OER and HER overpotentials of 290 and 129 mV(at 10 mA·cm^(−2)),*** addition,CoP_(2)/NC-1 produces a power density as high as 172.9 mW·cm^(−2),and excellent reversibility of 100 h at 20 mA·cm^(−2) in home-made Zn-air *** experimental results demonstrate that the synergistic interactions between N modified carbon substrate and CoP_(2) material significantly enhance the kinetics of ORR,OER,and *** functional theory(DFT)calculations reveal the strong electrons redistribution of CoP_(2) induced by high-density N atoms at the interface,thus optimizing the key intermediates and significantly lower the energy barrier of *** electronic adjustments of CoP_(2) greatly enhance its kinetics of ORR/OER/HER,leading to faster *** study provides profound insights into the specific modification of CoP_(2) by N-doped carbon,enabling the construction of efficient catalysts.

关键词： two-dimensional(2D)carbon metal-organic framework cobalt phosphide zinc air battery water splitting

In Situ High-performance Gel Polymer Electrolyte with Dual-reactive Cross-linking for Lithium Metal Batteries

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Energy & Environmental Materials 2024年第1期7卷 55-63页

作者： Fuhe wang Honghao Liu yaqing Guo Qigao Han Ping Lou Long Li Jianjie Jiang Shijie Cheng Yuancheng Cao School of Materials Science and engineering Huazhong University Huazhong University of Science and Technology State Key Laboratory of Advanced Electromagnetic engineering and Technology School of Electrical and Electronic Engineering Huazhong University of Science and Technology State Grid Huzhou Power Supply Company Huzhou Electric Power Design Institute Company

Lithium metal batteries have been considered as one of the most promising next-generation power-support devices due to their high specific energy and output ***,the uncontrollable side-reaction and lithium dendrite gr... 详细信息

关键词： gel polymer electrolytes hydrogen bonds in situ polymerization lithium metal batteries polyurethane

Recent advances on liquid intercalation and exfoliation of transition metal dichalcogenides: From fundamentals to applications

在线全文

同方期刊数据库

学校读者我要写书评

暂无评论

Nano Research 2024年第3期17卷 2088-2110页

作者： Yan tu Lingbin Xie Mengyang Zhang Shujuan Liu Zhongzhong Luo Longlu wang Qiang Zhao State Key Laboratory of Organic Electronics and information Displays and Jiangsu Key Laboratory for Biosensors Institute of Advanced Materials(IAM)Nanjing University of Posts and TelecommunicationsNanjing 210023China College of Electronic and Optical engineering and College of Flexible Electronics(Future Technology) Jiangsu Province Engineering Research Center for Fabrication and Application of Special Optical Fiber Materials and DevicesNanjing University of Posts and TelecommunicationsNanjing 210023China

The weak van der Waals gap endows two dimensional transition metal dichalcogenides(2D TMDs)with the potential to realize guest intercalation and host ***,the liquid intercalation and exfoliation is a facile,low-cost,versatile and scalable strategy to modulate the structure and physiochemical property of TMDs via introducing foreign species into *** this review,firstly,we briefly introduce the resultant hybrid superlattice and disperse nanosheets with tailored properties fabricated via liquid intercalation and ***,we systematically analyze the intercalation phenomenon and limitations of various intercalants in chemical or electrochemical ***,we intensely discuss diverse functionalities of resultant materials,focusing on their potential applications in energy conversion,energy storage,water purification,electronics,thermoelectrics and ***,we highlight the challenges and outlooks for precise and mass production of 2D TMDs-based materials via liquid intercalation and *** review enriches the overview of liquid intercalation and exfoliation strategy,and paves the path for relevant high-performance devices.

关键词： two-dimensional transition metal dichalcogenides hybrid superlattice intercalation exfoliation

Intelligent overheating fault diagnosis for overhead transmission line using semantic segmentation

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

High Voltage 2024年第2期9卷 309-318页

作者： Xiangyu Yang Youping tu Zhikang Yuan Zhong Zheng Geng Chen Cong wang Yan Xu Beijing Key Laboratory of High Voltage and EMC North China Electric Power UniversityBeijingChina College of Electronic and information engineering Tongji UniversityShanghaiChina

The strain clamps and leading wires are important components that connect conductors on overhead transmission lines and conduct *** operation,poor contact between these components can cause abnormal overheating,leading to electric failures and threatening power system ***,the use of unmanned aerial vehicles equipped with infrared thermal imagers for strain clamp and leading wire maintenance has become increasingly *** learning-based image recognition shows promising prospects for intelligent fault diagnosis of overheating faults.A pre-treatment method is proposed based on dynamic histogram equalisation to enhance the contrast of infrared *** DeepLab v3+network,loss function,and existing networks with different backbones are *** DeepLab v3+network with ResNet101 and convolutional block attention module added,and the Focal Loss function achieved the highest performance with an average pixel accuracy of 0.614,an average intersection over union(AIoU)of 0.567,an F1 score of 0.644,and a frequency weighted intersection over union of 0.594 on the test *** optimised Atrous rates has increased the AIoU by 12.91%.Moreover,an intelligent diagnosis scheme for evaluating the defect state of the strain clamps and leading wires is proposed and which achieves a diagnostic accuracy of 91.0%.

关键词： union fault diagnosis

Machine learning and human‐machine trust in healthcare:A systematic survey

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

CAAI Transactions on Intelligence Technology 2024年第2期9卷 286-302页

作者： Han Lin Jiatong Han Pingping Wu Jiangyan wang Juan tu Hao Tang Liuning Zhu Jiangsu Key Laboratory of Public Project Audit School of Engineering AuditNanjing Audit UniversityNanjingChina School of information engineering Nanjing Audit UniversityNanjingChina School of Statistics and Data Science Nanjing Audit UniversityNanjingChina Key Laboratory of Modern Acoustics(MOE) School of PhysicsNanjing UniversityNanjingChina department of information Technology and Electrical engineering ETH ZurichZurichSwitzerland The First Affiliated Hospital with Nanjing Medical University Jiangsu Province HospitalNanjingChina

As human‐machine interaction(HMI)in healthcare continues to evolve,the issue of trust in HMI in healthcare has been raised and *** is critical for the development and safety of healthcare that humans have proper trust in medical *** machines that have applied machine learning(ML)technologies continue to penetrate deeper into the medical environment,which also places higher demands on intelligent *** order to make machines play a role in HMI in healthcare more effectively and make human‐machine cooperation more harmonious,the authors need to build good humanmachine trust(HMT)in *** article provides a systematic overview of the prominent research on ML and HMT in *** addition,this study explores and analyses ML and three important factors that influence HMT in healthcare,and then proposes a HMT model in ***,general trends are summarised and issues to consider addressing in future research on HMT in healthcare are identified.

关键词： human-machine interaction machine learning trust

Exploring the Power of Entangled Data in Quantum Machine Learning

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Wuhan University Journal of Natural Sciences 2024年第3期29卷 193-194页

作者： wang Xinbiao DU Yuxuan tu Zhuozhuo LUO Yong YUAN Xiao TAO Dacheng Institute of Artificial Intelligence School of Computer ScienceWuhan UniversityWuhan 430072HubeiChina National engineering Research Center for Multimedia Software Wuhan UniversityWuhan 430072HubeiChina JD Explore Academy Beijing 101111China School of Computer Science and engineering Nanyang Technological UniversitySingapore 639798Singapore School of Computer Science Faculty of EngineeringUniversity of SydneyNSW 2008Australia Center on Frontiers of Computing Studies Peking UniversityBeijing 100871China School of Computer Science Peking UniversityBeijing 100871China

Quantum entanglement is a key resource for achieving superiority of quantum ***,scientists are extensively focusing on how to integrate quantum entanglement into various components of quantum machine learning(QML)models,aiming to surpass the performance of traditional machine learning *** successes include the use of entangled measurements^([1-3])and entangled channels^([4]),which have been shown to reduce query complexity or improve the prediction precision for specified QML *** entangled data,capable of encoding more information compared to classical data of the same size,is recognized for its potential to achieve quantum ***,the impact of the entanglement degree in quantum data on model performance remains a challenging and unresolved research question.

关键词： quantum specified integrate

维普期刊数据库

High-timing-precision detection of single X-ray photons by superconducting nanowires

在线全文

学校读者我要写书评

暂无评论

National Science Review 2024年第1期11卷 194-203页

作者： Shuya Guo Jingrou Tan Hengbin Zhang Jinguang wang Tianhao Ji Labao Zhang Xiaolong Hu Jian Chen Jun Xie Kai Zou Yun Meng Xiaomin Bei Ling-An Wu Qi Chen Hao wang Xuecou tu Xiaoqing Jia Qing-Yuan Zhao Lin Kang Peiheng Wu Research Institute of Superconductor Electronics Nanjing University Qian Xuesen Laboratory of Space Technology Beijing National Laboratory of Condensed Matter Physics Institute of Physics Chinese Academy of Sciences Hefei National Laboratory School of Precision Instrument and Optoelectronic engineering Tianjin University Key Laboratory of Optoelectronic information Science and Technology Ministry of Education

Precisely acquiring the timing information of individual X-ray photons is important in both fundamental research and practical applications. The timing precision of commonly used X-ray single-photon detectors remains in the range of one hundred picoseconds to microseconds. In this work, we report on high-timing-precision detection of single X-ray photons through the fast transition to the normal state from the superconductive state of superconducting nanowires. We successfully demonstrate a free-running X-ray single-photon detector with a timing resolution of 20.1 ps made of 100-nm-thick niobium nitride film with an active area of 50 μm by 50 μm. By using a repeated differential timing measurement on two adjacent X-ray single-photon detectors, we demonstrate a precision of 0.87 ps in the arrival-time difference of X-ray photon measurements. Therefore, our work significantly enhances the timing precision in X-ray photon counting, opening a new niche for ultrafast X-ray photonics and many associated applications.

关键词： single-photon detection timing precision superconductor ultrafast phenomenon pulsar X-ray navigation

数据挖掘在空气质量数值模拟中的应用研究进展

在线全文

同方期刊数据库

学校读者我要写书评

暂无评论

环境科学研究 2024年第8期37卷 1703-1713页

作者：王标彭瑜王维屠星月杜曙明张亚青冉伶张潇天中国环境科学研究院环境信息研究所北京100012 重庆市生态环境监测中心重庆401120

近年来,数据挖掘技术被广泛用于优化空气质量数值模拟,以提升模拟精度和效率,但所用方法及其应用效果还有待梳理。因此,本文分类归纳了数据挖掘技术在优化空气质量数值模拟中的主要应用方式、优化效果和计算效率。结果表明:①此类研究... 详细信息

近年来,数据挖掘技术被广泛用于优化空气质量数值模拟,以提升模拟精度和效率,但所用方法及其应用效果还有待梳理。因此,本文分类归纳了数据挖掘技术在优化空气质量数值模拟中的主要应用方式、优化效果和计算效率。结果表明:①此类研究根据应用环节分为三类。第一类是模拟结果优化法,对空气质量数值模拟的输出结果进行数据挖掘分析,从而优化预测结果;第二类是模拟过程优化法,利用数据挖掘技术对空气质量数值模拟过程中的输入参数、偏微分方程求解等进行优化;第三类是数据挖掘模型训练法,以数据挖掘技术替代空气质量数值模拟过程,直接预测空气质量。②数据挖掘技术有效提升了数值模型的预测效果和运行效率,尤其模拟结果优化法中的机器学习方法可实现PM_(2.5)、O_(3)预测浓度的RMSE分别降低65%~83%、24%~74%。③尽管数值模型时间复杂度为线性阶,优于数据挖掘,但数值模型的数据预处理量大,且需要计算比研究区域范围更大的嵌套模拟区域,而数据挖掘在矩阵计算、硬件加速方面更有优势,因此数值模型的实际计算开销可能高于数据挖掘。未来数据挖掘技术在空气质量预测模拟中的应用前景广阔,包括集成应用空气质量数值模拟和数据挖掘技术,支撑大气污染防控和决策;此外,还将引入可解释性人工智能技术,解释分析模型预测结果。

关键词：空气质量数值模拟数据挖掘优化时间复杂度

维普期刊数据库