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Analysis of horizontal migration characteristics of convergence zone and its critical frequency

Chinese Journal of Acoustics 2022年第4期41卷 329-344页

作者： ZHANG Haigang MA Zhikang FU Jinshan PIAO Shengchun Acoustic Science and Technology Laboratory Habrbin Engineering UniversiyHarbin 150001 Key Laboratory of Marine Information Acquistion and Security(Habrbin Engineering Universiy) Ministry of Industryand Information TechnologyHarbin 150001 College of Underwater Acoustic Engeering Habrbin Engineering UniversiyHarbin 150001

The horizontal migration characteristics of convergence zone in complete sound fixing and ranging channel are studied by simulation *** critical frequency of this phenomenon is derived according to Snell’s law and Lloyd’s mirror *** is found that when sound frequency is lower than critical frequency,the dominant mode of the convergence zone is frequency *** the decrease of frequency,the convergence zone moves horizontally towards sound source,and the transmission loss increases *** sound frequency is higher than the critical frequency,the dominant mode of convergence zone is almost frequency independent and the position and transmission loss of convergence zone will not change significantly with *** notably,the critical frequency varies with source *** frequency can be used to determine the frequency condition that need to be satisfied when convergence zone horizontally migrates at a specific source *** critical frequency formula contains source depth information which provides a good avenue for shallow target depth estimation in deep ocean.

关键词： effect. convergence critical

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Morphological analysis for thermodynamics of cavitation collapse near fractal solid wall

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Chinese Physics B 2024年第6期33卷 422-432页

作者：单鸣雷杨雨阚雪芬殷澄韩庆邦 Jiangsu Key Laboratory of Power Transmission and Distribution Equipment Technology Hohai UniversityChangzhou 213022China College of Information Science and Technology Nanjing Forestry UniversityNanjing 210000China Department of Transportation Engineering Jiangsu Shipping CollegeNantong 226000China

A fractal geometric boundary with natural wall features is introduced into a hybrid lattice-Boltzmann-method(LBM)multiphase model. The physical model of cavitation bubble collapse near the irregular geometric wall is established to study the thermodynamic characteristics of the bubble collapse. Due to the lack of periodicity, symmetry, spatial uniformity and obvious correlation in the LBM simulation of the bubble collapse near the fractal wall, the morphological analysis based on Minkowski functional is introduced into the thermodynamic investigation of cavitation bubble so as to analyze and obtain the effective information. The results show that the Minkowski functional method can employed to study the temperature information in complex physical fields hierarchically and quantitatively. The high/low temperature region of the cavitation flow is explored, and thermal effect between irregular and fractal geometric wall and cavitation bubble can be revealed. It illustrates that LBM and morphological analysis complement each other, and morphological analysis can also be used as an optional and potential tool in research field of complex multiphase flows.

关键词： lattice Boltzmann method cavitation bubble morphological analysis

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NcoVis: A Visual Analysis Framework for Exploring Academic Collaboration Networks under New Collaborative Relationships 25

NcoVis: A Visual Analysis Framework for Exploring Academic C...

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25th IEEE International Conference on Computer Supported Cooperative Work in Design, CSCWD 2022

作者： Yu, Ye Wu, Yao Liang, Xi Ma, Cheng Lu, Qiang Key Laboratory of Knowledge Engineering with Big Data Hefei University of Technology Ministry of Education Hefei China School of Computer Science and Information Hefei University of Technology Hefei China Intelligent Interconnected Systems Laboratory of Anhui Province Hefei University of Technology Hefei China

ISBN: (纸本)9781665405270

Academic collaboration has become one of the topics of large-scale social network analysis. The information extracted from academic collaboration also shows the contextual value in combination with other data. For academic collaborative social networks with intricate collaborative relationships, previous research methods mainly focused on network structure and community discovery, lacking in mining the characteristics of relationships in collaborative networks. There were some limitations in the research perspective. In this work, we propose a collaborative relationship representation method that is more suitable for academic collaborative social networks. It marks the attribute characteristics of nodes in collaborative relationships and highlights collaborative relationships in visualization. By adopting this new representation of collaborative relationships, we designed a visual analysis framework NcoVis, to visualize academic collaborative social networks. We further visually analyze the link relationship groups guided by nodes, and explore the potential representation of the structure and attribute characteristics of link relationships, so that analysts can explore the theme and structural change characteristics of link relationships, communities and the whole network in collaborative social networks. To prove the proposed framework, we conducted a case study on the academic collaboration literature data set, and analyzed the questionnaire with Likert scale through the user evaluation experiment, which verified the effectiveness of our method and the practicability of NcoVis. © 2022 IEEE.

关键词： Visualization

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Highly Secure Self-homodyne Coherent System Empowered by Quantum Noise Stream Cipher

Highly Secure Self-homodyne Coherent System Empowered by Qua...

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2024 Asia Communications and Photonics Conference, ACP 2024 and International Conference on information Photonics and Optical Communications, IPOC 2024

作者： Du, Haoze Lei, Chao He, Zonglong Zhang, Mingming Lin, Rui Yang, Chen Zhao, Zhiyong Tang, Ming Department of Electrical Engineering Chalmers University of Technology Göteborg41380 Sweden School of Optical and Electronic Information Huazhong University of Science and Technology Wuhan430074 China Department of Microtechnology and Nanoscience Chalmers University of Technology Göteborg41380 Sweden National Engineering Laboratory for Next Generation Internet Access System School of Optical and Electronic Information Huazhong University of Science and Technology Wuhan China State Key Laboratory of Optical Fiber and Cable Manufacture Technology Yangtze Optical Fibre and Cable Joint Stock Limited Company Wuhan430080 China

200Gb/s per spatial channel quantum noise stream cipher (QNSC) is experimentally demonstrated in 3km self-homodyne coherent (SHC) transmission system. A security level of (32761)^20 is obtained with 3dB penalty. ©... 详细信息

ISBN: (纸本)9798350379266

关键词： Quantum noise

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HRPDF: A Software-Based Heterogeneous Redundant Proactive Defense Framework for Programmable Logic Controller

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Journal of Computer science & technology 2021年第6期36卷 1307-1324页

作者： Ke Liu Jing-Yi Wang Qiang Wei Zhen-Yong Zhang Jun Sun Rong-Kuan Ma Rui-Long Deng State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou 450001China College of Control Science and Engineering Zhejiang UniversityHangzhou 310027China College of Computer Science and Technology Guizhou UniversityGuiyang 550025China School of Information Systems Singapore Management UniversitySingapore 689867Singapore

Programmable logic controllers(PLCs)play a critical role in many industrial control systems,yet face increasingly serious cyber *** this paper,we propose a novel PLC-compatible software-based defense mechanism,called Heterogeneous Redundant Proactive Defense Framework(HRPDF).We propose a heterogeneous PLC architecture in HRPDF,including multiple heterogeneous,equivalent,and synchronous runtimes,which can thwart multiple types of attacks against PLC without the need of external *** ensure the availability of PLC,we also design an inter-process communication algorithm that minimizes the overhead of *** implement a prototype system of HRPDF and test it in a real-world PLC and an OpenPLC-based device,*** results show that HRPDF can defend against multiple types of attacks with 10.22%additional CPU and 5.56%additional memory overhead,and about 0.6 ms additional time overhead.

关键词： industrial control system programmable logic controller proactive defense heterogeneous redundant architecture

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Universal Classical-Quantum Superposition Coding and Universal Classical-Quantum Multiple Access Channel Coding

Universal Classical-Quantum Superposition Coding and Univers...

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作者： Hayashi, Masahito Cai, Ning Shenzhen Institute for Quantum Science and Engineering The Guangdong Provincial Key Laboratory of Quantum Science and Engineering Southern University of Science and Technology Nanshan Shenzhen518055 China School of Information Science and Technology ShanghaiTech University Pudong201210 China

We derive universal classical-quantum superposition coding and universal classical-quantum multiple access channel coding by using generalized packing lemmas for the type method. Using our classical-quantum universal superposition code, we establish the capacity region of a classical-quantum compound broadcast channel with degraded message sets. Our universal classical-quantum multiple access channel codes have two types of codes. One is a code with joint decoding and the other is a code with separate decoding. It is not so easy to construct a former code that universally achieves general points of the capacity region beyond corner points. First, we construct the latter code that universally achieves general points of the capacity region. Then, converting the latter code to the former coder, we construct the above desired code with the former type. © 1963-2012 IEEE.

关键词： Decoding

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What limits limits?

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National science Review 2021年第1期8卷 11-14页

作者： Yong-Chun Liu Kun Huang Yun-Feng Xiao Lan Yang Cheng-Wei Qiu State Key Laboratory of Low-Dimensional Quantum Physics Department of Physics Frontier Science Center for Quantum Information Tsinghua University Department of Optics and Optical Engineering University of Science and Technology of China State Key Laboratory for Mesoscopic Physics and Frontiers Science Center for Nano-optoelectronics School of Physics Peking University Department of Electrical and Systems Engineering Washington University Department of Electrical and Computer Engineering National University of Singapore

There are fundamental rules and principles setting the limits of physical systems. It triggers an interesting thought—can we break the limits under specific circumstances? A realistic system can only provide limited functionalities because its performance is physically constrained by some fundamental principles.‘Breaking the limit’, which usually implies that the capability of a system could be enhanced significantly,

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DeepCAGE:Incorporating Transcription Factors in Genome-wide Prediction of Chromatin Accessibility

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Genomics, Proteomics & Bioinformatics 2022年第3期20卷 496-507页

作者： Qiao Liu Kui Hua Xuegong Zhang Wing Hung Wong Rui Jiang Ministry of Education Key Laboratory of Bioinformatics Bioinformatics DivisionBeijing National Research Center for Information Science and TechnologyCenter for Synthetic and Systems BiologyDepartment of AutomationTsinghua UniversityBeijing 100084China Department of Statistics Stanford UniversityStanfordCA 94305USA

Although computational approaches have been complementing high-throughput biological experiments for the identification of functional regions in the human genome,it remains a great challenge to systematically decipher interactions between transcription factors(TFs)and regulatory elements to achieve interpretable annotations of chromatin accessibility across diverse cellular *** solve this problem,we propose DeepCAGE,a deep learning framework that integrates sequence information and binding statuses of TFs,for the accurate prediction of chromatin accessible regions at a genome-wide scale in a variety of cell *** takes advantage of a densely connected deep convolutional neural network architecture to automatically learn sequence signatures of known chromatin accessible regions and then incorporates such features with expression levels and binding activities of human core TFs to predict novel chromatin accessible *** a series of systematic comparisons with existing methods,DeepCAGE exhibits superior performance in not only the classification but also the regression of chromatin accessibility *** a detailed analysis of TF activities,DeepCAGE successfully extracts novel binding motifs and measures the contribution of a TF to the regulation with respect to a specific locus in a certain cell *** applied to whole-genome sequencing data analysis,our method successfully prioritizes putative deleterious variants underlying a human complex trait and thus provides insights into the understanding of disease-associated genetic *** can be downloaded from https://***/kimmo1019/DeepCAGE.

关键词： Chromatin accessibility Deep learning Transcription factor Gene expression

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A comprehensive survey on shadow removal from document images: datasets, methods, and opportunities

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Vicinagearth 2025年第1期2卷 1-18页

作者： Wang, Bingshu Li, Changping Zou, Wenbin Zhang, Yongjun Chen, Xuhang Chen, C.L. Philip School of Software Northwestern Polytechnical University Xi’an China Guangdong Provincial Key Laboratory of Intelligent Information Processing & Shenzhen Key Laboratory of Media Security Shenzhen University Shenzhen China Guangdong Key Laboratory of Intelligent Information Processing College of Electronics and Information Engineering Shenzhen University Shenzhen China Yongjun Zhang is with the State Key Laboratory of Public Big Data College of Computer Science and Technology Guizhou University Guiyang China School of Computer Science and Engineering Huizhou University Huizhou China School of Computer Science and Engineering South China University of Technology and Pazhou Lab Guangzhou China

With the rapid development of document digitization, people have become accustomed to capturing and processing documents using electronic devices such as smartphones. However, the captured document images often suffer from issues like shadows and noise due to environmental factors, which can affect their readability. To improve the quality of captured document images, researchers have proposed a series of models or frameworks and applied them in distinct scenarios such as image enhancement, and document information extraction. In this paper, we primarily focus on shadow removal methods and open-source datasets. We concentrate on recent advancements in this area, first organizing and analyzing nine available datasets. Then, the methods are categorized into conventional methods and neural network-based methods. Conventional methods use manually designed features and include shadow map-based approaches and illumination-based approaches. Neural network-based methods automatically generate features from data and are divided into single-stage approaches and multi-stage approaches. We detail representative algorithms and briefly describe some typical techniques. Finally, we analyze and discuss experimental results, identifying the limitations of datasets and methods. Future research directions are discussed, and nine suggestions for shadow removal from document images are proposed. To our knowledge, this is the first survey of shadow removal methods and related datasets from document images.

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Enhancing Suppression of Chain Transfer via Catalyst Structural Evolution in Ethylene(Co)Polymerization

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Chinese Journal of Chemistry 2023年第12期41卷 1509-1516页

作者： Beihang Ding Lihang Jiang Xiaohui Kang Shengyu Dai Institutes of Physical Science and Information Technology Key Laboratory of Structure and Functional Regulation of Hybrid Materials of Ministry of Education Anhui University Hefei Anhui 230601 China College of Pharmacy Dalian Medical University Dalian Liaoning 116044 China School of Chemical and Environmental Engineering Anhui Polytechnic University Wuhu Anhui 241000 China

Usually,the aniline-based late-transition-metal catalysts often require bulky steric substituents on both sides of the ortho-aryl position to achieve efficient suppression of chain transfer in ethylene *** this contribution,we demonstrated thatα-diimine catalysts based on naphthylamine with only one bulky ortho-aryl substituent also demonstrated excellent capabilities to suppress the chain ***,a class ofα-diimine nickel and palladium complexes with only one o-aryl-dibenzhydryl or o-aryl-dibenzosuberyl substituent were synthesized and ***,the as-prepared naphthylamine-based nickel catalysts demonstrated outstanding activities(up to 13.02×106 g·mol–1·h–1)and yielded lightly branched(16-40/1000C)polyethylenes with very high molecular weights(445.8-854.3 kg/mol)in ethylene *** comparison,the corresponding palladium catalysts showed moderate activities(level of 104-105 g·mol–1·h–1),generating moderately branched(47-78/1000C)polyethylenes with moderate molecular weights(21.6-82.0 kg/mol).Moreover,the palladium catalysts could also copolymerize ethylene and methyl acrylate(MA),albeit in low activities(level of 103 g·mol–1·h–1),providing E-MA copolymers with low to moderate molecular weights(1.4-16.3 kg/mol)and a moderate level of incorporation ratio(2.4-7.4 mol%)and branching density(53-84/1000C).As compared with aniline-based nickel and palladium catalysts,the naphthylamine-based catalysts displayed a superior ability to suppress the chain transfer reactions and could give access to(co)polymers with orders of magnitude higher molecular weight in ethylene(co)polymerization.

关键词： α-Dimine catalysts Chain transfer High molecular weight Naphthylamine-based catalysts Ethylene(co)polymerization Copolymers Homogeneouscatalysis Conformation

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