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Regulating the Mechanical and Optical Properties of Polymer-based Nanocomposites by Sub-Nanowires

Angewandte Chemie 2022年第5期135卷

作者： Feng Yuan Dr. Chen Ouyang Minzheng Yang Prof. Wenxiong Shi Dr. Weibin Ren Prof. Yang Shen Prof. Yan Wei Prof. Xuliang Deng Prof. Xun Wang Institute of Medical Technology Peking University Health Science Center Beijing 100191 China Beijing Laboratory of Biomedical Materials Department of Geriatric Dentistry Peking University School and Hospital of Stomatology Beijing 100081 China Engineering Research Center of Advanced Rare Earth Materials Department of Chemistry Tsinghua University Beijing 100084 China Contribution: Data curation (lead) Formal analysis (lead) Investigation (lead) Writing - original draft (lead) Contribution: Data curation (supporting) Formal analysis (supporting) State Key Lab of New Ceramics and Fine Processing School of Materials Science and Engineering Tsinghua University Beijing 100084 China Institute for New Energy Materials and Low Carbon Technologies School of Materials Science and Engineering Tianjin University of Technology Tianjin 300384 China Contribution: Software (supporting) Contribution: Formal analysis (supporting) Contribution: Formal analysis (supporting) Supervision (supporting) Contribution: Conceptualization (equal) Formal analysis (lead) Supervision (lead) Contribution: Conceptualization (lead) Supervision (lead) Contribution: Conceptualization (lead) Data curation (lead) Investigation (lead) Methodology (lead) Project administration (lead) Supervision (lead) Validation (lead) Writing - review & editing (lead)

Sub-nanowires (SNWs) exhibit great potential applications in nanocomposites owing to their high specific surface area, high flexibility, and similarity to polymer chains in dimension, which are a good entry point to bridge inorganic materials and polymer materials. Herein, we synthesized hydroxyapatite sub-nanowires (HAP SNWs) and engineered hydroxyapatite sub-nanowires/polyimide (HSP) gels and films by simple mixing of HAP SNWs and polyimide (PI). Benefiting from the interactions between HAP SNWs and PI, these nanocomposites were a continuous hybrid network. As the increase of HAP SNWs contents, the viscosity and modulus of HSP gels were greatly improved by one or two orders of magnitude compared with PI gel. HSP films not only maintained high transparency but also gained high haze, as well as exhibited enhanced Young's modulus. Thus, both HSP gels and films developed in this work are promising for various applications in coatings and high-performance films.

关键词： Gels Nanocomposites Nanowires Thin Films

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Incorporating Lexicons into LSTM for Sentiment Classification

Incorporating Lexicons into LSTM for Sentiment Classificatio...

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International Joint Conference on Neural Networks

作者： Yifei Lu Yanghui Rao Jun Yang Jian Yin Guangdong Key Laboratory of Big Data Analysis and Processing Sun Yat-sen University Guangzhou China

Sentiment classification is a key task of natural language processing and a long-term goal of artificial intelligence. In this paper, we propose a new approach, which combines the Attention Mechanism, Bidirectional Long Short-Term Memory Network, and Lexicons for sentiment classification. Experiments on the Movie Review and Stanford Sentiment Treebank datasets demonstrate that the performance of our approach is better than other approaches.

关键词： Neural networks Sentiment analysis Standards Task analysis Logic gates Big data Support vector machines

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Liquid Precursor-Guided Phase Engineering of Single-Crystal VO2Beams

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Angewandte Chemie 2023年第16期135卷

作者： Run Shi Yonghuang Wu Zeqin Xin Jing Guo Zonglin Li Bochen Zhao Ruixuan Peng Chenyu Li Enze Wang Bolun Wang Xiaolong Zhang Prof. Chun Cheng Prof. Kai Liu State Key Laboratory of New Ceramics and Fine Processing School of Materials Science and Engineering Tsinghua University Beijing 100084 China Contribution: Data curation (lead) Formal analysis (lead) Funding acquisition (equal) Investigation (lead) Methodology (lead) Project administration (lead) Resources (lead) Visualization (lead) Writing - original draft (lead) Writing - review & editing (equal) Contribution: Investigation (equal) Visualization (equal) Contribution: Data curation (supporting) Project administration (equal) Contribution: Formal analysis (supporting) Resources (equal) Contribution: Software (supporting) Contribution: Methodology (supporting) Contribution: Visualization (supporting) Contribution: Project administration (supporting) Contribution: Conceptualization (supporting) Contribution: Supervision (supporting) Department of Materials Science and Engineering Southern University of Science and Technology Shenzhen 518055 China Contribution: Funding acquisition (equal) Supervision (equal) Writing - review & editing (lead) Contribution: Funding acquisition (lead) Supervision (lead) Validation (lead) Writing - review & editing (lead)

The study of VO 2 flourishes due to its rich competing phases induced by slight stoichiometry variations. However, the vague mechanism of stoichiometry manipulation makes the precise phase engineering of VO 2 still challenging. Here, stoichiometry manipulation of single-crystal VO 2 beams in liquid-assisted growth is systematically studied. Contrary to previous experience, oxygen-rich VO 2 phases are abnormally synthesized under a reduced oxygen concentration, revealing the important function of liquid V 2 O 5 precursor: It submerges VO 2 crystals and stabilizes their stoichiometric phase (M1) by isolating them from the reactive atmosphere, while the uncovered crystals are oxidized by the growth atmosphere. By varying the thickness of liquid V 2 O 5 precursor and thus the exposure time of VO 2 to the atmosphere, various VO 2 phases (M1, T, and M2) can be selectively stabilized. Furthermore, this liquid precursor-guided growth can be used to spatially manages multiphase structures in single VO 2 beams, enriching their deformation modes for actuation applications.

关键词： Actuators Phase Engineering Stoichiometry Manipulation Strongly Correlated Materials Vanadium Dioxide

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Adaptive Teacher-and-Student Model for Heterogeneous Domain Adaptation

Adaptive Teacher-and-Student Model for Heterogeneous Domain ...

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IEEE International Conference on data Mining (ICDM)

作者： Yunyun Wang Xuzhang Chen Songcan Chen Hui Xue College of Computer Science Jiangsu Key Laboratory of Big Data Security & Intelligent Processing Nanjing University of Posts & Telecommunications Nanjing China College of Computer Science & Technology/AI MIIT Key Laboratory of Pattern Analysis and Machine Intelligence Nanjing University of Aeronautics & Astronautics Nanjing China College of Computer Science and Engineering Southeast University Nanjing China

In heterogeneous domain adaptation (HDA), since the feature spaces of the source and target domains are different, knowledge transfer from the source to the target domain is really challenging. How to align the different feature spaces and then adaptively transfer the related knowledge is critical for HDA. In this paper, we develop an adaptive teacher-and-student model for heterogeneous domain adaptation (AtsHDA). In AtsHDA, the source domain as a teacher and the target domain as a student are aligned or co-adapted to each other first, so that their correlation can be maximized. Then the target domain adaptively learns from the source domain. Specifically, there is a balance between the learning by the target domain itself and the instruction from the source domain. That is, when the guidance from the source domain is helpful for learning, the learning of target classifier emphasizes the instruction of source knowledge, and considers its own knowledge more, otherwise. Further, an ensemble method is designed to decide such a balance. Finally, empirical results show that AtsHDA can achieve competitive results compared with the state-of-arts.

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Comparison of Satellite-retrieved NO2 Vertical Column Density with Ground-level NO2 concentration in a provincial scale region

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IOP Conference Series: Earth and Environmental Science 2020年第1期615卷

作者： Fengbin Zheng Yu Xia Qiang Ge Kun Cai Henan Engineering Laboratory of Spatial Information Processing Henan University Henan 475004 PR China Henan Key Laboratory of Big Data Analysis and Processing Henan University Henan 475004 PR China School of Computer and Information Engineering Henan University Henan 475004 PR China

Satellite remote sensing will have certain errors in data retrieval accuracy, which requires further ground observation verification. This paper examines and verifies 2019 Jiangsu provincial Ground-level monitoring data and TROPOMI data to evaluate the applicability of TROPOMI tropospheric NO2 Vertical Column Density (VCD) data and compares the results to OMI data analysis verification results. The results show that the correlation coefficient r between the TROPOMI NO2 data and Ground-level monitoring data at the monthly mean scale is as high as 0.9, and consistent seasonal cyclic changes are observed. The correlation between Ground-level monitoring data and OMI NO2 data is lower than TROPOMI (r=0.78 < 0.9). Compared to OMI satellites, the TROPOMI attains a smaller deviation in tropospheric NO2 monitoring. Jiangsu Province had the highest monthly average concentration in January, which were 38.67 ug/m3 (Ground-level), 17.35 × 1015 molec/cm2 (TROPOMI) and 20.04 × 1015 molec/cm2 (OMI). The lowest concentration in August was 13.39 ug/m3 (Ground-level), 5.2 × 1015 molec/cm2 (TROPOMI) and 7.03 × 1015 molec/cm2 (OMI).

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A Recurrent Gaussian Process Regression Model with Composite Kernel for Industrial Process Quality Prediction

A Recurrent Gaussian Process Regression Model with Composite...

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International Conference on Networking and Network Applications (NaNA)

作者： Yanping Chen Cong Gao Weihui Yang Zhongmin Wang Zhong Yu Hong Xia School of Computer Science and Technology Xi'an University of Posts and Telecommunications Xi'an China Shaanxi Key Laboratory of Network Data Analysis and Intelligent Processing Xi'an University of Posts and Telecommunications Xi'an China School of Communication and Information Engineering Xi'an University of Posts and Telecommunications Xi'an China

ISBN: (数字)9781728126296

ISBN: (纸本)9781728126302

With the blooming development of Industry 4.0, the management of industrial processes has drawn a lot of research attention. We employed the Gaussian process regression model to predict the key indicators of an industrial process. To facilitate the description of the data characteristics in an industrial process, the kernel function is reconstructed with respect to different kinds of data. We propose a novel structure based on the Gaussian process regression model which incorporates the previously predicted values into the input data of subsequent prediction. A series of contrastive experiments are conducted on the Tennessee Eastman process simulator. Experimental results show that the proposed method possesses a higher prediction accuracy than several notable prediction methods.

关键词： Ground penetrating radar Kernel Predictive models Gaussian processes data models Biological neural networks Training

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Non-SPF routing algorithm based on ordered semi-group preference algebra

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The Journal of China Universities of Posts and Telecommunications 2017年第6期24卷 14-23页

作者： Zhang Yongtang Fan Bo Department of Computer Science and Technology Guangdong Neusoft Institute Foshan 528225 China Guangdong Key Laboratory of Big Data Analysis and Processing Guangzhou 510006 China

Layer 2 network technology is extending beyond its traditional local area implementation and finding wider acceptance in provider＇s metropolitan area networks and large-scale cloud data center networks. This is mainly due to its plug-and-play capability and native mobility support. Many efforts have been put to increase the bisection bandwidth in layer 2 network, which has been constrained by the spanning tree protocol （STP） that layer 2 network uses for preventing looping. The recent trend is to incorporate layer 3＇s routing approach into layer 2 network so that multiple paths can be used for forwarding traffic between any source-destination （S-D） node pair. Equal cost multipath （ECMP） is one such example. However, ECMP may still be limited in generating multiple paths due to its shortest path （lowest cost） requirement. In this paper, we consider a non-shortest-path routing approach, called equal preference multipath （EPMP） based on ordered semi group theory, which can generate more paths than ECMP. In EPMP routing, all the paths with different traditionally-defined costs, such as hops, bandwidth, etc., can be determined equally now and thus they become equal candidate paths. By the comparative tests with ECMP, EPMP routing not only generates more paths, provides 15% higher bisection bandwidth, but also identifies bottleneck links in a hierarchical network when different traffic patterns are applied EPMP is more flexible in controlling the number and length of multipath generation. Simulation results indicate the effectiveness of the proposed algorithm. It is a good reference for non-blocking running of big datacenter networks.

关键词： non-SPF routing algorithm algebraic routing equal preference multipath datacenter networks

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Tangram Algorithm:High image Quality Secret Sharing Scheme Using Two Steganographic images

Tangram Algorithm:High Image Quality Secret Sharing Scheme U...

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2018 International Conference on Network, Communication, Computer Engineering (NCCE 2018)

作者： Wanli Lyu Jiahao Deng Yu Zhang Dongshuo Yin Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education School of Computer Science and TechnologyAnhui UniversityKey Lab of Industrial Image Processing and Analysis of Anhui Province

ISBN: (纸本)9781510871076

In this paper,our proposed scheme using two steganography *** other data hiding schemes,this scheme studies the characteristics of the Tangram puzzle model and the secret message bytes that make up the eight binary bits that are hidden into the two *** matrix M *,horizontal and vertical coordinate range from 0 to 255,and the pixel pairs in the cover image are used to help hide the secret message bytes in our *** paired pixel points into single and double number hidden in two *** show that the program can hide relatively more pixels in a cover image with less losing image quality.

关键词： steganography images Tangram puzzle matrix M hide relatively scenario

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A Reliable data Hiding Scheme Using Jigsaw Sudoku

A Reliable Data Hiding Scheme Using Jigsaw Sudoku

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2018 International Conference on Network, Communication, Computer Engineering (NCCE 2018)

作者： Wanli Lyu Dongshuo Yin Yu Zhang Jiahao Deng Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education School of Computer Science and TechnologyAnhui UniversityKey Lab of Industrial Image Processing and Analysis of Anhui Province

ISBN: (纸本)9781510871076

A distinctive data hiding method based on Jigsaw Sudoku is proposed in this *** from other methods,the proposed method is based on Jigsaw Sudoku which is a kind of irregularly shaped *** to the novelty of Jigsaw Sudoku,the proposed method can provide a safer scheme for data hiding than that with pure *** proposed method can hide a certain number of 9-ary numbers in a steganographic image which has a corresponding *** a 256*256 key matrix stretched from a size 9*9 Jigsaw Sudoku,secret message can be hidden in a vector image byte by byte in the form of *** results show that,the proposed method has a better peaksignal-to-noise-ratio(PSNR) compared with some other data hiding methods.

关键词： Sudoku PSNR hiding methods irregularly shaped steganographic image corresponding specification

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Real-time Application of SLAM based-line for Unmanned ground vehicle

Real-time Application of SLAM based-line for Unmanned ground...

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International Conference on image and Signal processing and their Applications (ISPA)

作者： Fethi Demim Abdelkrim Nemra Mehdia Hedir Abdenebi Rouigueb Abdelouahab Bazoula Mustapha Hamerlain Laboratoire des Véhicules Autonomes & Intelligents Ecole Militaire Polytechnique EMP Bordj El Bahri Algiers Algeria Image Processing and Radiation Laboratory Faculty of Electronic and Informatics Bab Ezzouar Algiers Algeria Data Fusion and Analysis Laboratory Ecole Militaire Polytechnique EMP Bordj El Bahri Algiers Algeria Centre de Developpement des Technologies Avancées CDTA Baba Hassen Algiers Algeria

ISBN: (纸本)9781728131573

This paper addresses the simultaneous localization and mapping (SLAM) of a robot in an unknown environment. Several techniques were proposed in the researches to solve this problem employ the different representations of the environment either by points or lines with their information on the extreme geometric positions. The objective of this paper has proposed a solution based on Extended Kalman Filter (EKF) for a single robot. The algorithm developed in our work is the EKF-SLAM which is implemented experimentally using a Pioneer 3-AT mobile robot equipped with a 2D laser telemeter. The obtained results using EKF-SLAM based lines shows the improvements in terms of accuracy and smoothness compared to the EKF-SLAM based points and odometer.

关键词： Autonomous navigation Mobile robot Localization Map building data fusion introduction Mobile robots autonomous navigation Unmanned Ground Vehicle supersonic low altitude missile simultaneous localization and mapping Robot Smoothness

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