检索结果-内蒙古大学图书馆

A Robust Watermarking Scheme based on Delaunay Image Reconstruction Robust to Affine Transformation

Journal of Physics: Conference Series 2021年第1期1871卷

作者： Liu Feng Daofu Gong Wenbing Wang State key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou Science and Technology Institute Zhengzhou City Henan Province 450000 China College of Software Engineering Zhengzhou University of Light Industry Zhengzhou City Henan Province 450000 China

This paper proposes a sub-channel image reconstruction algorithm based on Delaunay triangle. First, according to the different sensitivity of the human eye to the three color channels, different channels are used to avoid the influence of watermark embedding on pixels around the feature points. Then, feature points should be selected on the selected channel to make them have sufficient robustness. At this time, the location of the feature points extracted on the corresponding channel can be used as the watermark embedding position. Finally, considering the influence of geometric attacks such as affine transformation, this paper proposes a reconstruction algorithm based on Delaunay triangle, which uses feature point information to reconstruct the image before the watermark extraction, and extract the watermark on the reconstructed image. The effect of watermark extraction has been improved.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Free Viewpoint Video Synthesis Based on DIBR

Free Viewpoint Video Synthesis Based on DIBR

引用

IEEE Conference on Multimedia Information Processing and Retrieval (MIPR)

作者： Xuesong Gao Keqiu Li Weiqiang Chen Zhongyao Yang Wenguo Wei Yangang Cai College of Intelligence and Computing Tianjin University Tianjin China Tianjin Key Laboratory of Advanced Networking (TANK) Tianjin China State Key Laboratory of Digital Multimedia Technology Hisense Co. Ltd. Qingdao China School of Electronics Engineering and Computer Science Peking University Beijing China

ISBN: (数字)9781728142722

ISBN: (纸本)9781728142739

The Free Viewpoint Video (FVV) system is an advanced visual media mode, which could satisfy the audience's demand of watching from any viewpoints. It has aroused great interests in the field of multimedia and vision. This paper proposes a set of solutions, including depth estimation, virtual view interpolation and post processing, to synthesize and optimize the virtual view images. Specifically, deep learning based method is proposed to compute depth images, which is more efficient than traditional stereo matching algorithm. The virtual view can be synthesized with the help of DIBR algorithm in an arbitrary position between two reference cameras. To remove the noise caused by rendering, some post processing techniques, such as median filtering and hole filling, are employed. The extensive experimental results demonstrate that the quality of the synthesized free viewpoint video has been significantly improved using our method.

关键词： Estimation Image color analysis Cameras Three-dimensional displays Conferences Rendering (computer graphics) Streaming media

来源：评论

学校读者我要写书评

暂无评论

Light-matter interactions in high quality manganesedoped two-dimensional molybdenum diselenide

引用

Science China Materials 2021年第10期64卷 2507-2518页

作者： Sheng Liu Yaze Wu Xue Liu res Granados del Aguila Fengyuan Xuan Apoorva Chaturvedi Hua Zhang Su Ying Quek Qihua Xiong Division of Physics and Applied Physics School of Physical and Mathematical SciencesNanyang Technological UniversitySingapore 637371Singapore Department of Physics National University of Singapore2 Science Drive 3Singapore 117551Singapore School of Materials Science and Engineering Nanyang Technological UniversitySingapore 639798Singapore Department of Chemistry City University of Hong KongHong KongChina Hong Kong Branch of National Precious Metals Material Engineering Research Center(NPMM) City University of Hong KongHong KongChina Centre for Advanced 2D Materials National University of SingaporeSingapore 117546Singapore State Key Laboratory of Low-Dimensional Quantum Physics and Department of Physics Tsinghua UniversityBeijing 100084China

Introducing magnetic dopants into twodimensional transition metal dichalcogenides has recently attracted considerable attention due to its promising applications in spintronics and *** we realized manganese-doped molybdenum diselenide(MoSe_(2))single crystal via chemical vapor transport(CVT)reaction,containing up to 2.9%(atomic concentration)Mn dopants,and investigated the light-matter interaction in these *** observed a suppressed trion intensity,a longer photoluminescence lifetime,and prominent blue-and red-shift of E_(2g)^(2)(in-plane)and A_(1g)(out-of-plane)Raman modes,***,the Mn dopants increase the valley Zeeman splitting of the MoSe_(2) monolayer by~50%,while preserving the linear dependence on magnetic ***-principles calculations indicate that the spin-polarized deep level defect states are formed due to the Mn substitutional dopants in the Mo Se_(2) *** resulting defect potential favors the funnelling of excitons towards the *** Mn dopants reduce the magnitude of the interatomic force constants,explaining the red-shift of the A_(1g)*** Mn atoms and their immediate Mo and Se neighbors carry significant magnetic moments,which enhance the observed exciton g-factors due to the exchange interactions affecting defect-bound excitons.

关键词： first-principles calculations exciton funnelling twodimensional semiconductor magnetic doping valley-Zeeman effect

来源：评论

学校读者我要写书评

暂无评论

Pion and Kaon Distribution Amplitudes from Lattice QCD

引用

Physical Review Letters 2022年第13期129卷 132001-132001页

作者： Jun Hua Min-Huan Chu Fang-Cheng He Jin-Chen He Xiangdong Ji Andreas Schäfer Yushan Su Peng Sun Wei Wang Ji Xu Yi-Bo Yang Fei Yao Jian-Hui Zhang Qi-An Zhang Guangdong Provincial Key Laboratory of Nuclear Science Institute of Quantum Matter South China Normal University Guangzhou 510006 China Guangdong-Hong Kong Joint Laboratory of Quantum Matter Southern Nuclear Science Computing Center South China Normal University Guangzhou 510006 China INPAC Shanghai Key Laboratory for Particle Physics and Cosmology Key Laboratory for Particle Astrophysics and Cosmology (MOE) School of Physics and Astronomy Shanghai Jiao Tong University Shanghai 200240 China Yang Yuanqing Scientic Computering Center Tsung-Dao Lee Institute Shanghai Jiao Tong University Shanghai 200240 China CAS Key Laboratory of Theoretical Physics Institute of Theoretical Physics Chinese Academy of Sciences Beijing 100190 China School of Physics and Astronomy Shanghai Jiao Tong University Shanghai 200240 China Department of Physics University of Maryland College Park Maryland 20742 USA Institut für Theoretische Physik Universität Regensburg D-93040 Regensburg Germany Department of Physics and Institute of Theoretical Physics Nanjing Normal University Nanjing Jiangsu 210023 China School of Physics and Microelectronics Zhengzhou University Zhengzhou Henan 450001 China School of Fundamental Physics and Mathematical Sciences Hangzhou Institute for Advanced Study UCAS Hangzhou 310024 China International Centre for Theoretical Physics Asia-Pacific Beijing/Hangzhou China School of Physical Sciences University of Chinese Academy of Sciences Beijing 100049 China Center of Advanced Quantum Studies Department of Physics Beijing Normal University Beijing 100875 China School of Science and Engineering The Chinese University of Hong Kong Shenzhen 518172 China School of Physics Beihang University Beijing 102206 China

We present a state-of-the-art lattice QCD calculation of the pion and kaon light-cone distribution amplitudes (DAs) using large-momentum effective theory. The calculation is done at three lattice spacings a≈{0.06,0.09,0.12} fm and physical pion and kaon masses, with the meson momenta Pz={1.29,1.72,2.15} GeV. The result is nonperturbatively renormalized in a recently proposed hybrid scheme with self-renormalization, and extrapolated reliably to the continuum as well as the infinite momentum limit. We find a significant deviation of the pion and kaon DAs from the asymptotic form, and a large SU(3) flavor breaking effect in the kaon DA.

关键词： Quantum chromodynamics Strong interaction Lattice QCD

来源：评论

学校读者我要写书评

暂无评论

Virtual Sample Generation for Retraining the Malicious PDF Detection Model

引用

Journal of Physics: Conference Series 2020年第1期1584卷

作者： Kang He Long Liu Dong-Zhe Lu Yuefei Zhu State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou 450001 China Information Engineering University Zhengzhou 450001 China

PDF files are adopted for launching cyberattacks because of their popularity and the increasing number of relative vulnerabilities. Machine learning algorithms are developed to detect the maliciousness of PDF files. As the exploits of new vulnerabilities occur, the assumption that the training data and the test data share the same distribution does not hold and the ability of origin model to detect exploits of new vulnerabilities weakens gradually. In a real environment, it is very difficult to obtain numerous samples of exploits with the same CVE. and the machine learning models are difficult to be improved by retraining. Virtual sample generation could be used to generate sufficient virtual samples by small sample sets to improve the generalization of the existing model. A new VSG algorithm based on prior knowledge is proposed in this paper, which performs better than other VSG algorithms in improving the detection on exploits of new vulnerabilities.

关键词：

来源：评论

学校读者我要写书评

暂无评论

GPUMD: A package for constructing accurate machine-learned potentials and performing highly efficient atomistic simulations

arXiv

引用

arXiv 2022年

作者： Fan, Zheyong Wang, Yanzhou Ying, Penghua Song, Keke Wang, Junjie Wang, Yong Zeng, Zezhu Xu, Ke Lindgren, Eric Rahm, J. Magnus Gabourie, Alexander J. Liu, Jiahui Dong, Haikuan Wu, Jianyang Chen, Yue Zhong, Zheng Sun, Jian Erhart, Paul Su, Yanjing Ala-Nissila, Tapio College of Physical Science and Technology Bohai University Jinzhou121013 China MSP Group QTF Centre of Excellence Department of Applied Physics Aalto University Aalto EspooFI-00076 Finland Beijing Advanced Innovation Center for Materials Genome Engineering University of Science and Technology Beijing Beijing100083 China School of Science Harbin Institute of Technology Shenzhen518055 China National Laboratory of Solid State Microstructures School of Physics Collaborative Innovation Center of Advanced Microstructures Nanjing University Nanjing210093 China Department of Mechanical Engineering The University of Hong Kong Pokfulam Road Hong Kong Department of Physics Research Institute for Biomimetics and Soft Matter Jiujiang Research Institute Fujian Provincial Key Laboratory for Soft Functional Materials Research Xiamen University Xiamen361005 China Chalmers University of Technology Department of Physics Gothenburg41926 Sweden Department of Electrical Engineering Stanford University StanfordCA94305 United States Interdisciplinary Centre for Mathematical Modelling Department of Mathematical Sciences Loughborough University Loughborough Leicestershire LE11 3TU United Kingdom

We present our latest advancements of machine-learned potentials (MLPs) based on the neuroevolution potential (NEP) framework introduced in [Fan et al., Phys. Rev. B 104, 104309 (2021)] and their implementation in the open-source package gpumd. We increase the accuracy of NEP models both by improving the radial functions in the atomic-environment descriptor using a linear combination of Chebyshev basis functions and by extending the angular descriptor with some four-body and five-body contributions as in the atomic cluster expansion approach. We also detail our efficient implementation of the NEP approach in graphics processing units as well as our workflow for the construction of NEP models, and we demonstrate their application in large-scale atomistic simulations. By comparing to state-of-the-art MLPs, we show that the NEP approach not only achieves above-average accuracy but also is far more computationally efficient. These results demonstrate that the gpumd package is a promising tool for solving challenging problems requiring highly accurate, large-scale atomistic simulations. To enable the construction of MLPs using a minimal training set, we propose an active-learning scheme based on the latent space of a pre-trained NEP model. Finally, we introduce three separate Python packages, gpyumd, calorine, and pynep, which enable the integration of gpumd into Python workflows. Copyright © 2022, The Authors. All rights reserved.

关键词： Python

来源：评论

学校读者我要写书评

暂无评论

Anti-reconnaissance Model of Host Fingerprint Based on Virtual Node

引用

Journal of Physics: Conference Series 2020年第1期1584卷

作者： Tao Zhang Bin Lu Ding Li Kang He Yuefei Zhu State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou 450001 China Information Engineering University Zhengzhou 450001 China

Aiming at the problem of insufficient defense ability of fingerprint detection, the anti-reconnaissance model of host fingerprint based on virtual node is proposed. The model constructs periodically reconfigurable virtual nodes, dynamically camouflages the fingerprint information of the host to deceive the detector, and redirect attack traffic targeting virtual nodes to honeypots that can capture and analyze attack behavior. Honeypot, as an active defense technology, can effectively improve the model's defense capabilities. This paper introduces probabilistic models for the defense model to provide a deeper understanding of the theoretical effect their parameters have for cybersecurity, which quantifies the impact of different parameters on the probability of attack success, such as the number of probes, number of honeypot mapping rules, the virtual node deception rate, the honeypot detection rate and allowable losses. Furthermore, our prototype system using Software Defined Network (SDN) and Data Plane Development Kit (DPDK) verifies the effectiveness of the model against reconnaissance.

关键词：

来源：评论

学校读者我要写书评

暂无评论

三维声子晶体中的布里渊克莱因空间和半旋转空间（英文）

引用

Science Bulletin 2024年第13期 2050-2058页

作者：朱震霄杨林运吴吉恩孟岩郗翔颜贝陈景明陆久阳黄学勤邓伟胤尚策沈平杨怡豪陈红胜向柯鑫刘癸庚刘正猷高振 State Key Laboratory of Optical Fiber and Cable Manufacture Technology Department of Electronic and Electrical Engineering Southern University of Science and Technology School of Physics and Optoelectronics South China University of Technology Key Laboratory of Artificial Micro-and Nanostructures of Ministry of Education and School of Physics and Technology Wuhan University King Abdullah University of Science and Technology (KAUST) Physical Science and Engineering Division (PSE) Interdisciplinary Center for Quantum Information State Key Laboratory of Modern Optical Instrumentation ZJU-Hangzhou Global Science and Technology Innovation CenterCollege of Information Science and Electronic Engineering ZJU-UIUC Institute Zhejiang University Division of Physics and Applied Physics School of Physical and Mathematical Sciences Nanyang Technological University Institute for Advanced Studies Wuhan University

The Bloch band theory and Brillouin zone（BZ） that characterize wave-like behaviors in periodic mediums are two cornerstones of contemporary physics, ranging from condensed matter to topological *** theoretical breakthrough revealed that, under the projective symmetry algebra enforced by artificial gauge fields, the usual two-dimensional（2D） BZ（orientable Brillouin two-torus） can be fundamentally modified to a non-orientable Brillouin Klein bottle with radically distinct manifold ***, the physical consequence of artificial gauge fields on the more general three-dimensional（3D） BZ（orientable Brillouin three-torus） was so far missing. Here, we theoretically discovered and experimentally observed that the fundamental domain and topology of the usual 3D BZ can be reduced to a non-orientable Brillouin Klein space or an orientable Brillouin half-turn space in a 3D acoustic crystal with artificial gauge fields. We experimentally identify peculiar 3D momentum-space non-symmorphic screw rotation and glide reflection symmetries in the measured band structures. Moreover, we experimentally demonstrate a novel stacked weak Klein bottle insulator featuring a nonzero Z2topological invariant and self-collimated topological surface states at two opposite surfaces related by a nonlocal twist, radically distinct from all previous 3D topological insulators. Our discovery not only fundamentally modifies the fundamental domain and topology of 3D BZ, but also opens the door towards a wealth of previously overlooked momentum-space multidimensional manifold topologies and novel gaugesymmetry-enriched topological physics and robust acoustic wave manipulations beyond the existing paradigms.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Rely-Guarantee Reasoning about Messaging System for Autonomous Vehicles

Rely-Guarantee Reasoning about Messaging System for Autonomo...

引用

Theoretical Aspects of Software engineering (TASE)

作者： Wenjing Xu Yongwang Zhao Dianfu Ma YuXin Zhang Qian Xiao State Key Laboratory of Software Development Environment School of Computer Science and Engineering Beihang Univerisity Beijing China Beijing Advanced Innovation Center for Big Data and Brain Computing Beihang University Beijing China State Key Laboratory of Automotive Simulation and Control College of Automotive Engineering Jilin University Jilin China School of Computer Science and Technology Guizhou University Guiyang China

Messaging system as a communicating infrastructure is a safety-critical component of autonomous vehicles. For the purpose of safety certification of Level 4 autonomous driving systems, its necessary to provide a formally verified specification of messaging systems. This paper presents a realistic case study using the PiCore rely-guarantee framework to formally verify the DGPS (Differential Global Positioning System) of UISEE autonomous driving systems. We first create an axiom model of messaging systems by extending PiCore, which is reusable for concrete applications. The model supports dynamic configuration of message buffers as well as the automatic generation of the rely and guarantee conditions for compositional reasoning. It is instantiated when developing the formal specification of DGPS. Then, we use the rely-guarantee proof system of PiCore to verify the functional correctness and invariant of DGPS. The specification and its proof provide a strong evidence for the ongoing safety certification of DGPS.

关键词： Cognition Safety Formal specifications Vehicle dynamics Autonomous vehicles Certification Global Positioning System

来源：评论

学校读者我要写书评

暂无评论

Data quality control system and long-term performance monitor of LHAASO-KM2A

引用

Astroparticle Physics 2025年 164卷

作者： Cao, Zhen Aharonian, F. Axikegu Bai, Y.X. Bao, Y.W. Bastieri, D. Bi, X.J. Bi, Y.J. Bian, W. Bukevich, A.V. Cao, Q. Cao, W.Y. Cao, Zhe Chang, J. Chang, J.F. Chen, A.M. Chen, E.S. Chen, H.X. Chen, Liang Chen, Lin Chen, Long Chen, M.J. Chen, M.L. Chen, Q.H. Chen, S. Chen, S.H. Chen, S.Z. Chen, T.L. Chen, Y. Cheng, N. Cheng, Y.D. Cui, M.Y. Cui, S.W. Cui, X.H. Cui, Y.D. Dai, B.Z. Dai, H.L. Dai, Z.G. Danzengluobu Dong, X.Q. Duan, K.K. Fan, J.H. Fan, Y.Z. Fang, J. Fang, J.H. Fang, K. Feng, C.F. Feng, H. Feng, L. Feng, S.H. Feng, X.T. Feng, Y. Feng, Y.L. Gabici, S. Gao, B. Gao, C.D. Gao, Q. Gao, W. Gao, W.K. Ge, M.M. Geng, L.S. Giacinti, G. Gong, G.H. Gou, Q.B. Gu, M.H. Guo, F.L. Guo, X.L. Guo, Y.Q. Guo, Y.Y. Han, Y.A. Hasan, M. He, H.H. He, H.N. He, J.Y. He, Y. Hor, Y.K. Hou, B.W. Hou, C. Hou, X. Hu, H.B. Hu, Q. Hu, S.C. Huang, D.H. Huang, T.Q. Huang, W.J. Huang, X.T. Huang, X.Y. Huang, Y. Ji, X.L. Jia, H.Y. Jia, K. Jiang, K. Jiang, X.W. Jiang, Z.J. Jin, M. Kang, M.M. Karpikov, I. Kuleshov, D. Kurinov, K. Li, B.B. Li, C.M. Li, Cheng Li, Cong Li, D. Li, F. Li, H.B. Li, H.C. Li, Jian Li, Jie Li, K. Li, S.D. Li, W.L. Li, X.R. Li, Xin Li, Y.Z. Li, Zhe Li, Zhuo Liang, E.W. Liang, Y.F. Lin, S.J. Liu, B. Liu, C. Liu, D. Liu, D.B. Liu, H. Liu, H.D. Liu, J. Liu, J.L. Liu, M.Y. Liu, R.Y. Liu, S.M. Liu, W. Liu, Y. Liu, Y.N. Luo, Q. Luo, Y. Lv, H.K. Ma, B.Q. Ma, L.L. Ma, X.H. Mao, J.R. Min, Z. Mitthumsiri, W. Mu, H.J. Nan, Y.C. Neronov, A. Ou, L.J. Pattarakijwanich, P. Pei, Z.Y. Qi, J.C. Qi, M.Y. Qiao, B.Q. Qin, J.J. Raza, A. Ruffolo, D. Sáiz, A. Saeed, M. Semikoz, D. Shao, L. Shchegolev, O. Sheng, X.D. Shu, F.W. Song, H.C. Stenkin, Yu.V. Stepanov, V. Su, Y. Sun, D.X. Sun, Q.N. Sun, X.N. Sun, Z.B. Key Laboratory of Particle Astrophysics & Experimental Physics Division & Computing Center Institute of High Energy Physics Chinese Academy of Sciences Beijing100049 China University of Chinese Academy of Sciences Beijing100049 China TIANFU Cosmic Ray Research Center Sichuan Chengdu China Dublin Institute for Advanced Studies 31 Fitzwilliam Place 2 Dublin Ireland Max–Planck-Institut for Nuclear Physics P.O. Box 103980 Heidelberg69029 Germany School of Physical Science and Technology & School of Information Science and Technology Southwest Jiaotong University Sichuan Chengdu610031 China School of Astronomy and Space Science Nanjing University Jiangsu Nanjing210023 China Center for Astrophysics Guangzhou University Guangdong Guangzhou510006 China Tsung-Dao Lee Institute & School of Physics and Astronomy Shanghai Jiao Tong University Shanghai200240 China Institute for Nuclear Research of Russian Academy of Sciences Moscow117312 Russia Hebei Normal University Hebei Shijiazhuang050024 China University of Science and Technology of China Anhui Hefei230026 China State Key Laboratory of Particle Detection and Electronics China Key Laboratory of Dark Matter and Space Astronomy & Key Laboratory of Radio Astronomy Purple Mountain Observatory Chinese Academy of Sciences Jiangsu Nanjing210023 China Research Center for Astronomical Computing Zhejiang Laboratory Zhejiang Hangzhou311121 China Key Laboratory for Research in Galaxies and Cosmology Shanghai Astronomical Observatory Chinese Academy of Sciences Shanghai200030 China School of Physics and Astronomy Yunnan University Yunnan Kunming650091 China Ministry of Education Tibet Lhasa850000 China Key Laboratory of Radio Astronomy and Technology National Astronomical Observatories Chinese Academy of Sciences Beijing100101 China Sun Yat-sen University Guangdong Zhuhai519000 China Sun Yat-sen University Guangdong Guangzhou510275 China Sun Yat-sen University Guangdong Zhuhai519000 Chi

The KM2A is the largest sub-array of the Large High Altitude Air Shower Observatory (LHAASO). It consists of 5216 electromagnetic particle detectors (EDs) and 1188 muon detectors (MDs). The data recorded by the EDs and MDs are used to reconstruct primary information of cosmic-ray and gamma-ray showers. To ensure the reliability of the LHAASO-KM2A data, a three-level quality control system has been established. It is used to monitor the status of detector units, stability of reconstructed parameters and the performance of the array based on observations of the Crab Nebula and Moon shadow. This paper will introduce the control system and its application on the LHAASO-KM2A data collected from August 2021 to July 2023. During this period, the pointing and angular resolution of the array were stable. From the observations of the Moon shadow and Crab Nebula, the results achieved using the two methods are consistent with each other. For example, according to the observation of the Crab Nebula with KM2A at energies from 25 TeV to 100 TeV, the time averaged pointing errors are estimated to be −0.003°±0.005° and 0.001°±0.006° in the R.A. and Dec directions, respectively. © 2024 Elsevier B.V.

关键词： Cosmology

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：