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IEEE International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)

作者： Guodong Wang GuoTao Wang Zhenkuan Pan Zhimei Zhang College of Computer Science and Technology Qingdao University China Qingdao University Qingdao Shandong CN College of Data Science and Software Engineering Qingdao University China

Multiplicative noise removal is always a hard problem in fundamental image processing task. Many methods are proposed for the multiplicative noise removal by using different denoiser prior in variational framework. Among the image prior, total variation (TV) are first proposed and then many other regularization such as PM, TGV, nonlocal and many other priors are also proposed for enhance the denoising ability. Although using the priors can get good performance, the models are hard to be resolved with sophisticated priors. A new model based on the deep CNN denoiser prior for removing multiplicative noise is proposed in this paper. The proposed energy function is effectively calculated via several sub-optimal questions by split bregman method and alternative minimization is used for the solution. The proposed method needn't deduce the sophisticated formula and can achieve good performance. From the experiments, we can see that our method achieved good results.

关键词： Signal processing Communication systems Indexes

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Conferring BiVO4Nanorods with Oxygen Vacancies to Realize Enhanced Sonodynamic Cancer Therapy

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Angewandte Chemie 2022年第44期134卷

作者： Dr. Zhuang Yang Dr. Meng Yuan Dr. Bin Liu Dr. Wenying Zhang Dr. Aziz Maleki Prof. Baolin Guo Prof. Ping'an Ma Prof. Ziyong Cheng Prof. Jun Lin State Key Laboratory of Rare Earth Resource Utilization Changchun Institute of Applied Chemistry Changchun 130022 P. R. China School of Applied Chemistry and Engineering University of Science and Technology of China Hefei 230026 P. R. China Contribution: Investigation (lead) Methodology (lead) Resources (lead) Supervision (lead) Writing - original draft (lead) Writing - review & editing (lead) Contribution: Conceptualization (equal) Investigation (equal) Software (lead) Contribution: Formal analysis (supporting) Funding acquisition (supporting) Methodology (supporting) Contribution: Data curation (supporting) Project administration (supporting) Resources (supporting) Zanjan Pharmaceutical Nanotechnology Research Center (ZPNRC) and Department of Pharmaceutical Nanotechnology School of Pharmacy Zanjan University of Medical Sciences Zanjan 45139-56184 Iran Contribution: Methodology (supporting) Resources (supporting) State Key Laboratory for Mechanical Behavior of Materials and Frontier Institute of Science and Technology and Key Laboratory of Shaanxi Province for Craniofacial Precision Medicine Research College of Stomatology Xi'an Jiaotong University Xi'an 710049 P. R. China Contribution: Investigation (supporting) Validation (supporting) Contribution: Formal analysis (supporting) Software (supporting) Visualization (supporting) Guangdong Provincial Key Laboratory of Research and Development of Natural Drugs School of Pharmacy Guangdong Medical University Guangdong Medical University Key Laboratory of Research and Development of New Medical Materials Dongguan 523808 P. R. China Contribution: Validation (lead) Visualization (lead) Writing - original draft (lead) Writing - review & editing (lead) Contribution: Resources (lead) Visualization (lead) Writing - review & editing (lead)

Owing to the high depth of tissue penetration, non-invasiveness, and controllability, ultrasound (US)-mediated sonodynamic therapy (SDT) has shown broad application prospects for tumor treatment. However, the electron-hole separation inefficiency of sonosensitizers and the tumor hypoxia remain two major challenges limiting the effect of SDT. Here, ultrafine photoetched bismuth vanadate (BiVO 4 ) nanorods modified with DSPE-PEG 2000 (PEBVO@PEG NRs) were fabricated to achieve in situ self-supply of oxygen (O 2 ) and reactive oxygen species (ROS) for hypoxic tumor therapy. The photoetching approach could enhance the charge separation by inducing enriched oxygen vacancies on the surface of BiVO 4 , thereby improving the generation efficiency of ROS and O 2 . The PEBVO@PEG overcome the main obstacles of traditional sonosensitizers in the SDT process and show promising sonodynamic therapeutic effects, thus providing new strategies for improving the performance of sonosensitizer and hypoxic tumor elimination.

关键词： Bismuth Vanadate Sonodynamic Therapy Sonosensitizers Surface Oxygen Vacancies Ultrasound

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WISERNet: Wider Separate-then-reunion Network for Steganalysis of Color Images

arXiv

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arXiv 2018年

作者： Zeng, Jishen Tan, Shunquan Liu, Guangqing Li, Bin Huang, Jiwu Guangdong Key Laboratory of Intelligent Information Processing National Engineering Laboratory for Big Data System Computing Technology Shenzhen University Shenzhen518060 China College of Computer Science and Software Engineering Shenzhen University Guangdong Key Lab. of Intelligent Info. Processing and Shenzhen Key Laboratory of Media Security Shenzhen University Shenzhen518060 China Peng Cheng Laboratory Shenzhen518052 China

Until recently, deep steganalyzers in spatial domain have been all designed for gray-scale images. In this paper, we propose WISERNet (the wider separate-then-reunion network) for steganalysis of color images. We provide theoretical rationale to claim that the summation in normal convolution is one sort of "linear collusion attack" which reserves strong correlated patterns while impairs uncorrelated noises. Therefore in the bottom convolutional layer which aims at suppressing correlated image contents, we adopt separate channel-wise convolution without summation instead. Conversely, in the upper convolutional layers we believe that the summation in normal convolution is beneficial. Therefore we adopt united normal convolution in those layers and make them remarkably wider to reinforce the effect of "linear collusion attack". As a result, our proposed wide-and-shallow, separate-then-reunion network structure is specifically suitable for color image steganalysis. We have conducted extensive experiments on color image datasets generated from BOSSBase raw images and another large-scale dataset which contains 100,000 raw images, with di_erent demosaicking algorithms and downsampling algorithms. The experimental results show that our proposed network outperforms other state-of-the-art color image steganalytic models either hand-crafted or learned using deep networks in the literature by a clear margin. Specifically, it is noted that the detection performance gain is achieved with less than half the complexity compared to the most advanced deeplearning steganalyzer as far as we know, which is scarce in the literature. Copyright © 2018, The Authors. All rights reserved.

关键词： Steganography

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The PLATO mission

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Experimental Astronomy 2025年第3期59卷 1-111页

作者： Rauer, Heike Aerts, Conny Cabrera, Juan Deleuil, Magali Erikson, Anders Gizon, Laurent Goupil, Mariejo Heras, Ana Walloschek, Thomas Lorenzo-Alvarez, Jose Marliani, Filippo Martin-Garcia, César Mas-Hesse, J. Miguel O’Rourke, Laurence Osborn, Hugh Pagano, Isabella Piotto, Giampaolo Pollacco, Don Ragazzoni, Roberto Ramsay, Gavin Udry, Stéphane Appourchaux, Thierry Benz, Willy Brandeker, Alexis Güdel, Manuel Janot-Pacheco, Eduardo Kabath, Petr Kjeldsen, Hans Min, Michiel Santos, Nuno Smith, Alexis Suarez, Juan-Carlos Werner, Stephanie C. Aboudan, Alessio Abreu, Manuel Acuña, Lorena Adams, Moritz Adibekyan, Vardan Affer, Laura Agneray, François Agnor, Craig Aguirre Børsen-Koch, Victor Ahmed, Saad Aigrain, Suzanne Al-Bahlawan, Ashraf Alcacera Gil, Ma de los Angeles Alei, Eleonora Alencar, Silvia Alexander, Richard Alfonso-Garzón, Julia Alibert, Yann Allende Prieto, Carlos Almeida, Leonardo Alonso Sobrino, Roi Altavilla, Giuseppe Althaus, Christian Alvarez Trujillo, Luis Alonso Amarsi, Anish Ammler-von Eiff, Matthias Amôres, Eduardo Andrade, Laerte Antoniadis-Karnavas, Alexandros António, Carlos Aparicio del Moral, Beatriz Appolloni, Matteo Arena, Claudio Armstrong, David Aroca Aliaga, Jose Asplund, Martin Audenaert, Jeroen Auricchio, Natalia Avelino, Pedro Baeke, Ann Baillié, Kevin Balado, Ana Ballber Balagueró, Pau Balestra, Andrea Ball, Warrick Ballans, Herve Ballot, Jerome Barban, Caroline Barbary, Gaële Barbieri, Mauro Barceló Forteza, Sebastià Barker, Adrian Barklem, Paul Barnes, Sydney Barrado Navascues, David Barragan, Oscar Baruteau, Clément Basu, Sarbani Baudin, Frederic Baumeister, Philipp Bayliss, Daniel Bazot, Michael Beck, Paul G. Belkacem, Kevin Bellinger, Earl Benatti, Serena Benomar, Othman Bérard, Diane Bergemann, Maria Bergomi, Maria Bernardo, Pierre Biazzo, Katia Bignamini, Andrea Bigot, Lionel Billot, Nicolas Binet, Martin Biondi, David Biondi, Federico Birch, Aaron C. Bitsch, Bertram Bluhm Ceballos, Paz Victoria Bódi, Attila Bognár, Zsófia Boisse, Isabelle Bolmont, Emeline Bonanno, Alfio Bonavita, Institut für Planetenforschung Deutsches Zentrum für Luft- und Raumfahrt DLR Rutherfordstrasse 2 Berlin 12489 Germany Fachbereich Geowissenschaften Institut für Geologische Freie Universität Berlin Malteserstr. 74-100 Berlin 12249 Germany Institute of Astronomy KU Leuven Leuven Belgium CNRS CNES LAM Aix Marseille University Marseille France Max Planck Institute for Solar System Research Göttingen Germany LESIA Paris Observatory PSL University Sorbonne University Paris Cité University CNRS Meudon France ESTEC European Space Agency Noordwijk Netherlands ESAC European Space Agency Madrid Spain Centro de Astrobiología CSIC-INTA Campus ESAC Madrid Spain Center for Space and Habitability University of Bern Bern Switzerland INAF - Osservatorio Astrofisico di Catania Catania Italy Department of Physics and Astronomy University of Padua Padua Italy Department of Physics University of Warwick Coventry United Kingdom Astronomical Observatory of Padova INAF - Italian National Institute for Astrophysics Padua Italy Armagh Observatory and Planetarium College Hill Armagh United Kingdom Geneve Observatory University of Geneve Geneve Switzerland IAS University of Paris-Saclay Orsay France AlbaNove University Centre Stockholm University Stockholm Sweden Department of Astrophysics University of Vienna Vienna Austria Department of Astronomy University of Sao Paulo Sao Paulo Brazil Astronomical Institute of the Czech Academy of Sciences Ondřejov Czech Republic Department of Physics and Astronomy Aarhus University Aarhus Denmark Institute for Space Research SRON Leiden Netherlands Instituto de Astrofísica e Ciências do Espaço CAUP Universidade do Porto Porto Portugal Departamento de Física e Astronomia Faculdade da Ci ncias Universidade do Porto Porto Portugal Mullard Space Science Laboratory University College London Holmbury Saint Mary United Kingdom Dept. Theoretical Physics and the Cosmos University of Granada Granada Spain Centre for Plan

PLATO (PLAnetary Transits and Oscillations of stars) is ESA’s M3 mission designed to detect and characterise extrasolar planets and perform asteroseismic monitoring of a large number of stars. PLATO will detect small planets (down to <2REarth) around bright stars (<11 mag), including terrestrial planets in the habitable zone of solar-like stars. With the complement of radial velocity observations from the ground, planets will be characterised for their radius, mass, and age with high accuracy (5%, 10%, 10% for an Earth-Sun combination respectively). PLATO will provide us with a large-scale catalogue of well-characterised small planets up to intermediate orbital periods, relevant for a meaningful comparison to planet formation theories and to better understand planet evolution. It will make possible comparative exoplanetology to place our Solar System planets in a broader context. In parallel, PLATO will study (host) stars using asteroseismology, allowing us to determine the stellar properties with high accuracy, substantially enhancing our knowledge of stellar structure and evolution. The payload instrument consists of 26 cameras with 12cm aperture each. For at least four years, the mission will perform high-precision photometric measurements. Here we review the science objectives, present PLATO‘s target samples and fields, provide an overview of expected core science performance as well as a description of the instrument and the mission profile towards the end of the serial production of the flight cameras. PLATO is scheduled for a launch date end 2026. This overview therefore provides a summary of the mission to the community in preparation of the upcoming operational phases. © The Author(s) 2025.

关键词： Asteroseismology Exoplanets PLATO mission

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Demo Abstract: Cscrypt-a compressive-sensing-based encryption engine for the internet of things 14

Demo Abstract: Cscrypt-a compressive-sensing-based encryptio...

引用

14th ACM Conference on Embedded Networked Sensor Systems, SenSys 2016

作者： Xue, Wanli Luo, Chengwen Rana, Rajib Hu, Wen Seneviratne, Aruna School of Computer Science and Engineering University of New South Wales Australia College of Computer Science and Software Engineering Shenzhen University China Institute of Resilient Regions University of Southern Queensland Australia Data61 Australia

ISBN: (纸本)9781450342636

Internet of Things (IoT) have been connecting the physi-cal world seamlessly and provides tremendous opportunities to a wide range of applications. However, potential risks exist when IoT system collects local sensor data and up-loads to the Cloud. The private data leakage can be severe with curious database administrator or malicious hackers who compromise the Cloud. In this demo, we solve this problem of guaranteeing the user data privacy and secu-rity using compressive sensing based cryptographic method. We present CScrypt, a compressive-sensing-based encryp-tion engine for the Cloud-enabled IoT systems to secure the interaction between the IoT devices and the Cloud. Our sys-tem exploits the fact that each individual's biometric data can be trained to a unique dictionary which can be used as an encryption key meanwhile to compress the original data. We will demonstrate a functioning prototype of our system using live data stream when attending the conference. © 2016 Copyright held by the owner/author(s).

关键词： Compressed sensing

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A Self-contained Steganography Combining LSB Substitution with MSB Matching

A Self-contained Steganography Combining LSB Substitution wi...

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第十三届全国信息隐藏暨多媒体信息安全学术大会

作者： JIANG Wenxu GUO Zhenbo WANG Kaixi HUANG Yongfeng College of Data Science and Software Engineering Qingdao University Qingdao 266071 China College of Data Science and Software Engineering Qingdao University Qingdao 266071 China School o Department of Electronic Engineering Tsinghua University Beijing 100084 China

LSB substitution steganography only takes the least significant bits in the cartier into account, which has the problems about low security and poor *** paper proposes a self-contained steganography combining the MSB matching and LSB *** paper proposes two types of encoding rules to define the matching result between the secret information binary stream and the most two-significant-bit stream of cartier, then keep/replaces the least two bits in every byte according to the corresponding matching *** show that the PSNR by this method is close to *** with traditional LSB substitution method, it has good robustness and concealment and improves the security and capacity, and to some extent, it increases the volume of a carrier.

关键词： steganography LSB substitution MSB matching

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Digital image splicing detection based on Markov features in QDCT and QWT domain

arXiv

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arXiv 2017年

作者： Wang, Ruxin Lu, Wei Xiang, Shijun Zhao, Xianfeng Wang, Jinwei School of Data and Computer Science Guangdong Key Laboratory of Information Security Technology Sun Yat-sen University Guangzhou510006 China College of Information Science and Technology Jinan University Guangzhou510632 China State Key Laboratory of Information Security Institute of Information Engineering Chinese Academy of Sciences Beijing100093 China School of Computer and Software Nanjing University of Information Science and Technology Nanjing China

Image splicing detection is of fundamental importance in digital forensics and therefore has attracted increasing attention recently. In this paper, a color image splicing detection approach is proposed based on Markov transition probability of quaternion component separation in quaternion discrete cosine transform (QDCT) domain and quaternion wavelet transform (QWT) domain. Firstly, Markov features of the intra-block and inter-block between block QDCT coefficients are obtained from the real part and three imaginary parts of QDCT coefficients respectively. Then, additional Markov features are extracted from luminance (Y) channel in quaternion wavelet transform domain to characterize the dependency of position among quaternion wavelet subband coefficients. Finally, ensemble classifier (EC) is exploited to classify the spliced and authentic color images. The experiment results demonstrate that the proposed approach can outperforms some state-of-the-art methods. Copyright © 2017, The Authors. All rights reserved.

关键词： Discrete cosine transforms

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Vision-based Vehicle Detecting and Counting for Traffic Flow Analysis

Vision-based Vehicle Detecting and Counting for Traffic Flow...

引用

International Joint Conference on Neural Networks

作者： Zhimei Zhang Kun Liu Feng Gao Xianyun Li Guodong Wang Department of Computer Science and Technology Ocean University of China Qingdao China College of Computer Science and Technology Qingdao University China College of Data Science and Software Engineering Qingdao University China

ISBN: (纸本)9781509006212

In this paper, we present a system to detect and count the number of vehicles in traffic surveillance videos based on Fast Region-based Convolutional Network (Fast R-CNN). Fast R-CNN is a state-of-the-art object detection network, which takes an entire image and a set of object proposals as input, produces bounding-box positions with probability estimates over object classes as output. First, we fine-tune a pre-trained Fast R-CNN net with images captured from traffic videos for accuracy improvement. Second, we define a series of rules of bounding boxes screening for vehicle counting. The proposed system takes around 3 seconds per image to count vehicles on a GTX970 GPU, and then records the corresponding number of vehicles into a database for traffic flow analysis. Experimental results demonstrated that the proposed system can provide significant improvements on the detection accuracy. In addition, experiments on challenging videos with occlusions or full of vehicles show that the proposed system works effectively.

关键词： Proposals Videos Surveillance Traffic control Automobiles Graphics processing units

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Theoretical search for possible Au-Si crystal structures using a genetic algorithm

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Physical Review B 2017年第13期95卷 134109-134109页

作者： Yue-Hang Dong Wen-Cai Lu Xin Xu Xin Zhao K. M. Ho C. Z. Wang Institute of Theoretical Chemistry Jilin University Changchun Jilin 130021 P. R. China School of Data Science and Software Engineering Qingdao University Qingdao Shandong 266071 P. R. China College of Physics and Laboratory of Fiber Materials and Modern Textile Growing Base for State Key Laboratory Qingdao University Qingdao Shandong 266071 P. R. China Ames Laboratory–U.S. DOE and Department of Physics and Astronomy Iowa State University Ames Iowa 50011 USA

We performed a global search for possible Au-Si crystal structures using a genetic algorithm (GA) combined with density functional theory (DFT) calculations. Two Au-Si structures, Au8Si8 and Au16Si8, were found to be energetically stable and have no imaginary frequencies by phonon calculations. The formation energies of all the studied structures gave a convex hull of the Au-Si system, showing that the most stable composition was Au−Si=1:1 and that the Si-rich structures were much less stable than the Au-rich ones.

关键词： Composition Crystal structure Crystal symmetry Phonons Density functional theory First-principles calculations

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Quantum homomorphic signature using coherent states 2

Quantum homomorphic signature using coherent states

引用

2nd IEEE International Conference on Computer and Communications, ICCC 2016

作者： Luo, Qingbin Yang, Guowu She, Kun Li, Xiaoyu Yuqi, Wang School of Information and Software Engineering University of Electronic Science and Technology of China Chengdu China Edward S. Rogers Sr. Department of Electrical Computer Engineering Department University of Toronto TorontoONM5S 3G4 Canada Big Data Research Center and School of Computer Science and Engineering University of Electronic Science and Technology of China Chengdu China College of Computer Minnan Normal University Zhangzhou China

ISBN: (纸本)9781467390262

In this paper, a novel scheme for quantum homomorphic signature based on coherent states is proposed, which is an effective approach to identity authentication for multiple streams to enhance the security of quantum networks. The state used for signature are arbitrarily close in trace distance to states of O(log2n), if the length of the nodes' messages is n-bit. The scheme analysis shows that the scheme is a quantum group homomorphic signature scheme and the signature is unforgeable. © 2016 IEEE.

关键词： Quantum theory

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