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Energy & Environmental Materials 2024年第1期7卷 34-41页

作者： Yanzhe Zhu Renbo Zhu Fandi Chen Shuo Zhang Yu-Chieh Kuo Peiyuan Guan Mengyao Li Yunjian Liu Zhaojun Han Tao Wan Dawei wang caiyun wang Dewei Chu School of Materials Science and Engineering The University of New South WalesSydneyNew South Wales 2052Australia School of Material science and Engineering Jiangsu UniversityZhenjiang 212013China School of Chemical Engineering The University of New South WalesSydneyNew South Wales 2052Australia Intelligent Polymer Research institute AIIMInnovation CampusUniversity of WollongongNorth Wollongong New South Wales 2522Australia

Silver-zinc(Ag-Zn)batteries are a promising battery system for flexible electronics owing to their high safety,high energy density,and stable output ***,poor cycling performance,low areal capacity,and inferior flexibility limit the practical application of Ag-Zn ***,we develop a flexible quasi-solid-state Ag-Zn battery system with superior performance by using mild electrolyte and binder-free *** foam current collector is introduced to impede the growth of Zn dendrite,and the structure of Ag cathode is engineered by electrodeposition and chloridization process to improve the areal *** novel battery demonstrates a remarkable cycle retention of 90%for 200 cycles at 3 mA cm^(-2).More importantly,this binder-free battery can afford a high capacity of 3.5 mAh cm^(-2)at 3 mA cm^(-2),an outstanding power density of 2.42 mW cm^(-2),and a maximum energy density of 3.4 mWh cm^(-2).An energy management circuit is adopted to boost the output voltage of a single battery,which can power electronic ink display and Bluetooth temperature and humidity *** developed battery can even operate under the extreme conditions,such as being bent and sealed in solid *** work offers a path for designing electrodes and electrolyte toward high-performance flexible Ag-Zn batteries.

关键词： binder-free electrodes dendrite-free flexible Ag-Zn battery mild electrolyte quasi-solid-state

电化学储能及传感用细菌纤维素及其复合材料的研究进展

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复合材料学报 2024年第6期41卷 2745-2760页

作者：王静李彩云万怡灶天津工业大学纺织科学与工程学院天津300387 天津工业大学复合材料研究院先进纺织复合材料教育部重点实验室天津300387 华东交通大学先进材料研究院南昌330013

细菌纤维素(Bacterial cellulose,BC)来源丰富,是一种绿色环保的可再生材料。BC具有优异的物理化学特性,是具有多样性应用潜力的生物聚合物材料,随着能源和生态环境的持续恶化,对于开发先进储能技术亟待实现,BC在电化学储能、传感及能... 详细信息

细菌纤维素(Bacterial cellulose,BC)来源丰富,是一种绿色环保的可再生材料。BC具有优异的物理化学特性,是具有多样性应用潜力的生物聚合物材料,随着能源和生态环境的持续恶化,对于开发先进储能技术亟待实现,BC在电化学储能、传感及能源转换领域展现出广阔的应用前景,受到诸多关注。本文对BC做了简要介绍,以BC及其复合材料在电化学储能及传感领域的种类、不同处理及改性手段对BC结构与性能的影响为线索,系统地对BC在电化学储能及传感领域的应用进展进行了概述,对其在新型电子器件及能源转换领域的发展也有所涉及,最后对BC在电化学储能及传感材料的研究进展及发展方向进行了总结和展望。

关键词：细菌纤维素复合材料储能传感研究进展

THE EDUCATIONAL SOFTWARE FOR CHEMISTRYBASED ON AUTOMATED REASONING

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Systems Science and Mathematical Sciences 1999年第S1期12卷 78-87页

作者： wang Xiaojing(Chengdu institute of computer application, Chinese Academy of Sciences,Chengdu 610064, China)ZHANG Jingzhong(Chengdu institute of computer application, Chinese Academy of Sciences,Chengdu 610064, China)

A new type of the educational software for chemistry based on automatedreasoning with chemical knowledge was successfully developed. This intelligent systemwith the unique style of the interactive functions and the open mode of the knowledgebase has shown not only its notable ability to solve chemical problems, to improve thereasoning performance of itself, but also its advantages to provide more opportunities forthe users to acquire living knowledge through the interactive ways.

关键词： ICAI automated reasoning chemical knowledge-base terminology understanding.

Perpendicular-Cutdepth:Perpendicular Direction Depth Cutting Data Augmentation Method

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computers, Materials & Continua 2024年第4期79卷 927-941页

作者： Le Zou Linsong Hu Yifan wang Zhize Wu Xiaofeng wang Anhui Provincial Engineering Laboratory of Big Data Technology application forUrban Infrastructure School ofArtificial Intelligence and Big DataHefei UniversityHefei230601China institute of Applied Optimization School of Artificial Intelligence and Big DataHefei UniversityHefei230601China

Depth estimation is an important task in computer *** data at scale for monocular depth estimation is challenging,as this task requires simultaneously capturing RGB images and depth ***,data augmentation is crucial for this *** data augmentationmethods often employ pixel-wise transformations,whichmay inadvertently disrupt edge *** this paper,we propose a data augmentationmethod formonocular depth estimation,which we refer to as the Perpendicular-Cutdepth *** method involves cutting realworld depth maps along perpendicular directions and pasting them onto input images,thereby diversifying the data without compromising edge *** validate the effectiveness of the algorithm,we compared it with existing convolutional neural network(CNN)against the current mainstream data augmentation ***,to verify the algorithm’s applicability to Transformer networks,we designed an encoder-decoder network structure based on Transformer to assess the generalization of our proposed *** results demonstrate that,in the field of monocular depth estimation,our proposed method,Perpendicular-Cutdepth,outperforms traditional data *** the indoor dataset NYU,our method increases accuracy from0.900 to 0.907 and reduces the error rate from0.357 to *** the outdoor dataset KITTI,our method improves accuracy from 0.9638 to 0.9642 and decreases the error rate from 0.060 to 0.0598.

关键词： Perpendicular depth estimation data augmentation

A blockchain based privacy-preserving federated learning scheme for Internet of Vehicles

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Digital Communications and Networks 2024年第1期10卷 126-134页

作者： Naiyu wang Wenti Yang Xiaodong wang Longfei Wu Zhitao Guan Xiaojiang Du Mohsen Guizani School of Control and computer Engineering North China Electric Power UniversityChina Department of Mathematics&computer Science Fayetteville State UniversityFayettevilleNCUSA Department of Electrical and computer Engineering Stevens Institute of TechnologyHobokenNJ07030USA Department of computer Science and Engineering Qatar UniversityDohaQatar

The application of artificial intelligence technology in Internet of Vehicles(lov)has attracted great research interests with the goal of enabling smart transportation and traffic ***,concerns have been raised over the security and privacy of the tons of traffic and vehicle *** this regard,Federated Learning(FL)with privacy protection features is considered a highly promising ***,in the FL process,the server side may take advantage of its dominant role in model aggregation to steal sensitive information of users,while the client side may also upload malicious data to compromise the training of the global *** existing privacy-preserving FL schemes in IoV fail to deal with threats from both of these two sides at the same *** this paper,we propose a Blockchain based Privacy-preserving Federated Learning scheme named BPFL,which uses blockchain as the underlying distributed framework of *** improve the Multi-Krum technology and combine it with the homomorphic encryption to achieve ciphertext-level model aggregation and model filtering,which can enable the verifiability of the local models while achieving ***,we develop a reputation-based incentive mechanism to encourage users in IoV to actively participate in the federated learning and to practice *** security analysis and performance evaluations are conducted to show that the proposed scheme can meet the security requirements and improve the performance of the FL model.

关键词： Federated learning Blockchain Privacy-preservation Homomorphic encryption Internetof vehicles

Multispectral point cloud superpoint segmentation

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Science China(Technological Sciences) 2024年第4期67卷 1270-1281页

作者： wang Qingwang wang MingYe ZHANG ZiFeng SONG Jian ZENG Kai SHEN Tao GU YanFeng Faculty of Information Engineering and Automation Kunming University of Science and TechnologyKunming 650500China Yunnan Key Laboratory of computer Technologies application Kunming 650500China School of Electronics and Information Engineering Harbin Institute of TechnologyHarbin 150001China

The multitude of airborne point clouds limits the point cloud processing *** are grouped based on similar points,which can effectively alleviate the demand for computing resources and improve processing ***,existing superpoint segmentation methods focus only on local geometric structures,resulting in inconsistent spectral features of points within a *** feature inconsistencies degrade the performance of subsequent ***,this study proposes a novel Superpoint Segmentation method that jointly utilizes spatial Geometric and Spectral Information for multispectral point cloud superpoint segmentation(GSI-SS).Specifically,a similarity metric that combines spatial geometry and spectral information is proposed to facilitate the consistency of geometric structures and object attributes within segmented *** the formation of the primary superpoints,an intersuperpoint pointexchange mechanism that maximizes feature consistency within the final superpoints is *** are conducted on two real multispectral point cloud datasets,and the proposed method achieved higher recall,precision,F score,and lower global consistency and feature classification *** experimental results demonstrate the superiority of the proposed GSI-SS over several state-of-the-art methods.

关键词： multispectral point cloud superpoint segmentation over-segmentation spatial-spectral joint metric

Synthesis,Style Editing,and Animation of 3D Cartoon Face

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Tsinghua Science and Technology 2024年第2期29卷 506-516页

作者： Ming Guo Feng Xu Shunfei wang Zhibo wang Ming Lu Xiufen Cui Xiao Ling School of Software and BNRist Tsinghua UniversityBeijing 100084China Department of Multimedia and Smart Guangdong OPPO Mobile Telecommunications Corp.Ltd.Dongguan 523860China Intel Labs IntelBeijing 100089China

As a popular kind of stylized face,cartoon faces have rich application *** is challenging to create personalized 3D cartoon faces directly from 2D real ***,in order to adapt to more application scenarios,automatic style editing,and animation of cartoon faces is also a crucial problem that is urgently needed to be solved in the industry,but has not yet had a perfect *** solve this problem,we first propose“3D face cartoonizer”,which can generate high-quality 3D cartoon faces with texture when fed into 2D facial *** contribute the first 3D cartoon face hybrid dataset and a new training strategy which first pretrains our network with low-quality triplets in a reconstruction-then-generation manner,and then finetunes it with high-quality triplets in an adversarial manner to fully leverage the hybrid ***,we implement style editing for 3D cartoon faces based on k-means,which can be easily achieved without retrain the neural *** addition,we propose a new cartoon faces'blendshape generation method,and based on this,realize the expression animation of 3D cartoon faces,enabling more practical *** dataset and code will be released for future research.

关键词： cartoon 3D face animation computer graphics

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广东省水资源-能源-粮食网络特征分析

北京师范大学学报（自然科学版） 2024年第1期60卷 59-68页

作者：洪思扬程涛王红瑞邓彩云王洪冲广东省农业科学院农业经济与信息研究所农业农村部华南都市农业重点实验室广东广州广东省水利水电科学研究院广东广州北京师范大学水科学研究院城市水循环与海绵城市技术北京市重点实验室北京山东大学空间科学与物理学院山东威海

广东省人口和产业高度集聚,对水资源-能源-粮食(WEF)依赖程度高,资源供需矛盾日益凸显,合理配置WEF资源,实现资源可持续利用具有重要现实意义.本研究基于复杂网络方法,构建广东省2007、2012、2017年的WEF资源网络模型,通过探索网络拓扑... 详细信息

广东省人口和产业高度集聚,对水资源-能源-粮食(WEF)依赖程度高,资源供需矛盾日益凸显,合理配置WEF资源,实现资源可持续利用具有重要现实意义.本研究基于复杂网络方法,构建广东省2007、2012、2017年的WEF资源网络模型,通过探索网络拓扑性质,挖掘网络关键节点和关键路径,作为资源优化配置的重点关注对象.结果表明:1)广东省WEF资源网络具备小世界属性,能源网络的小世界属性较强,水资源网络较弱,关键节点和关键边的调控均会对WEF资源网络形成较大影响;2)农业(农林牧渔产品和服务),食品和烟草,化学产品,电力、热力的生产和供应,建筑,通信设备、计算机和其他电子设备制造等关键节点具备较大点强度,其资源调控对广东省水资源、能源、粮食的节约效应显著;3)电气机械和器材制造,建筑,通信设备、计算机和其他电子设备制造在WEF资源网络中处于枢纽位置,其资源节约效应可快速传递至整个网络;4)农业→食品和烟草、农业→纺织品、食品和烟草→住宿和餐饮等边频繁出现于WEF资源网络的关键路径之中,改变其资源流通量,可显著改变所在关键路径甚至整个WEF资源网络的流通量.

关键词：水-能源-粮食资源网络关键节点关键路径广东省

Computational Experiments for Complex Social Systems:Experiment Design and Generative Explanation

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IEEE/CAA Journal of Automatica Sinica 2024年第4期11卷 1022-1038页

作者： Xiao Xue Deyu Zhou Xiangning Yu Gang wang Juanjuan Li Xia Xie Lizhen Cui Fei-Yue wang the School of computer Software College of Intelligence and ComputingTianjin UniversityTianjin 300350China the School of Software and the Joint SDUNTU Centre for Artificial Intelligence Research(C-FAIR) Shandong UniversityJinan 250101China the Information School Xi’an University of Financial and EconomicsXi’an 710100China the State Key Laboratory of Multimodal Artificial Intelligence Systems Institute of AutomationChinese Academy of SciencesBeijing 100190China Hainan University Haikou 570228China the State Key Laboratory for Management and Control of Complex Systems Institute of AutomationChinese Academy of SciencesBeijing 1001901China

Powered by advanced information technology,more and more complex systems are exhibiting characteristics of the cyber-physical-social systems(CPSS).In this context,computational experiments method has emerged as a novel approach for the design,analysis,management,control,and integration of CPSS,which can realize the causal analysis of complex systems by means of“algorithmization”of“counterfactuals”.However,because CPSS involve human and social factors(e.g.,autonomy,initiative,and sociality),it is difficult for traditional design of experiment(DOE)methods to achieve the generative explanation of system *** address this challenge,this paper proposes an integrated approach to the design of computational experiments,incorporating three key modules:1)Descriptive module:Determining the influencing factors and response variables of the system by means of the modeling of an artificial society;2)Interpretative module:Selecting factorial experimental design solution to identify the relationship between influencing factors and macro phenomena;3)Predictive module:Building a meta-model that is equivalent to artificial society to explore its operating ***,a case study of crowd-sourcing platforms is presented to illustrate the application process and effectiveness of the proposed approach,which can reveal the social impact of algorithmic behavior on“rider race”.

关键词： Agent-based modeling computational experiments cyber-physical-social systems(CPSS) generative deduction generative experiments meta model