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New Chaotic Image Encryption Algorithm Based on Cross-Mapping

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Wuhan University Journal of Natural sciences 2012年第6期17卷 461-467页

作者： tong xiaojun LIU Yang ZHANG Miao SHI Hongyu school of computer science and technology Harbin Institute of TechnologyWeihai 264209ShandongChina

Chaotic cryptography has been applied to image encryption;however,only the traditional low-dimensional chaotic systems has been widely analyzed or deciphered,which does not show satisfied security and *** solve this problem,a new algorithm based on cross-chaos map has been created in this *** image pixels are scrambled under control of high-dimensional chaotic sequence,which is generated by cross chaotic *** image pixels are substituted by ciphertext feedback *** can relate encryption required parameters with plaintext and can make a plaintext byte affect more ciphertext *** by theoretical analysis and experimental results,the algorithm has higher complex degree and has passed SP800-22 pseudo-random number standard tests,and it has high encryption speed,high security,*** can be widely applied in the field of image encryption.

关键词： chaos image encryption cross chaotic map cross-scrambling substitute

Real-Time Deformation Simulation of Kidney Surgery Based on Virtual Reality

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Journal of Shanghai Jiaotong university(science) 2021年第3期26卷 290-297页

作者： JING Mengjie cui Zhixin FU Hang CHEN xiaojun institute of Biomedical Manufacturing and Life Quality Engineering State Key Laboratory of Mechanical System and VibrationSchool of Mechanical EngineeringShanghai Jiao Tong UniversityShanghai200240China institute of Medical Robotics Shanghai Jiao Tong UniversityShanghai200240China

Virtual reality-based surgery simulation is becoming popular with the development of minimally invasive abdominal surgery,where deformable soft tissue is modelled and *** mass-spring model(MSM)and finite element method(FEM)are common methods used in the simulation of soft tissue ***,MSM has an issue concerning accuracy,while FEM has a problem with *** achieve higher accuracy and efficiency at the same time,we applied a co-rotational FEM in the simulation of a kidney with a tumour inside,achieving a real-time and accurate deformation *** addition,we set a multi-model representation for mechanical simulation and visual *** implicit Euler method and conjugate gradient method were adopted for setting and solving the linear *** a realistic simulation of surgery,constraints outside the kidney and between the kidney and tumour were set with two series of mechanical properties for the two *** were conducted to validate the accuracy and real-time performance.

关键词： computer-assisted surgery virtual reality real-time simulation finite element method(FEM) corotation FEM

融合先验知识和信息化技术的望诊客观化研究现状与思路探析

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世界科学技术-中医药现代化 2024年第6期26卷 1654-1659页

作者：孙晨格李玉坤赵志伟汪麟双崔梁瑜尹彤王丽颖韩学杰刘大胜陕西中医药大学咸阳712000 中国中医科学院中医临床基础医学研究所北京100700

望诊客观化主要采用图像处理、计算机视觉和机器学习等技术方法,以解决望诊主观性强和难以量化的问题。而先验知识的获取与处理是进行望诊客观化的关键环节,也是对客观化研究中将主观判断和宏观表现进行量化展示的重要阐述,但目前仍缺... 详细信息

望诊客观化主要采用图像处理、计算机视觉和机器学习等技术方法,以解决望诊主观性强和难以量化的问题。而先验知识的获取与处理是进行望诊客观化的关键环节,也是对客观化研究中将主观判断和宏观表现进行量化展示的重要阐述,但目前仍缺乏对先验知识的深入总结及参数化处理,本文在分析望诊客观化研究现状的基础上,运用数据挖掘技术将中医望诊经验进行整理归纳,并通过自然语言处理、表示学习法将望诊观察的信息转化为可量化的数字特征,同时深度学习的应用可实现对望诊图像的自动化诊断和分析,以提高准确性和效率,促进中医现代化的进程。

关键词：望诊望诊客观化先验知识深度学习参数化

Exploration and Practice of Online Teaching Mode for“Three Preparations Before Class,Five Channels in Class and Five Tracking after Class”

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计算机教育 2021年第12期 147-156页

作者： Miao Zhang Hua Zhang Dianhui Chu xiaojun tong Kaikun Dong school of computer science and technology Harbin Institute of TechnologyWeihai264209China

Aiming at the characteristics of huge knowledge points,strong practicality and diversity of software security course,adhering to the“Π”scheme for emerging engineering education,based on Tencent classroom,Tencent conference and Lan ink cloud class,and guided by BOPPPS teaching model and deep learning theory,“three preparations before class,five channels in class and five tracking after class”is *** preparations before class and five tracking after class serve the five channels in *** channels in class take live teaching as the core,and teach students knowledge through five *** has proved that this mode can effectively solve the problem of teaching a large number of knowledge in limited class hours,improve students’practical ability and enhance the effect of classroom teaching.

关键词： online teaching BOPPPS teaching model deep learning flipped classroom software security

A SARS-CoV-2 neutralizing antibody discovery by single cell sequencing and molecular modeling

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The Journal of Biomedical Research 2023年第3期37卷 166-178页

作者： Zheyue Wang Qi Tang Bende Liu Wenqing Zhang Yufeng Chen Ningfei Ji Yan Peng Xiaohui Yang Daixun cui Weiyu Kong xiaojun Tang Tingting Yang Mingshun Zhang Xinxia Chang Jin Zhu Mao Huang Zhenqing Feng National Health Commission Key Laboratory of Antibody Technique Jiangsu Province Engineering Research Center of Antibody DrugDepartment of PathologyNanjing Medical UniversityNanjingJiangsu 211166China Department of Cardiology the First People's Hospital of Jiangxia DistrictWuhanHubei 430299China Department of Respiratory and Critical Care Medicine the First Affiliated Hospital of Nanjing Medical UniversityNanjingJiangsu 210029China Department of Rheumatology and Immunology the Affiliated Drum Tower Hospital of Nanjing University Medical SchoolNanjingJiangsu 210008China Huadong Medical institute of Biotechniques NanjingJiangsu 210028China Jiangsu Key Lab of Cancer Biomarkers Prevention and TreatmentCollaborative Innovation Center for Cancer Personalized MedicineNanjing Medical UniversityNanjingJiangsu 211166China.

Although vaccines have been developed,mutations of SARS-CoV-2,especially the dominant B.1.617.2(delta)and B.1.529(omicron)strains with more than 30 mutations on their spike protein,have caused a significant decline in prophylaxis,calling for the need for drug *** are drugs preferentially used in infectious diseases and are easy to get from immunized *** current study combined molecular modeling and single memory B cell sequencing to assess candidate sequences before experiments,providing a strategy for the fabrication of SARS-CoV-2 neutralizing antibodies.A total of 128 sequences were obtained after sequencing 196 memory B cells,and 42 sequences were left after merging extremely similar ones and discarding incomplete ones,followed by homology modeling of the antibody variable *** candidate sequences were expressed,of which three were tested positive for receptor binding domain recognition but only one was confirmed as having broad neutralization against several SARS-CoV-2 *** current study successfully obtained a SARS-CoV-2 antibody with broad neutralizing abilities and provided a strategy for antibody development in emerging infectious diseases using single memory B cell BCR sequencing and computer assistance in antibody fabrication.

关键词： SARS-CoV-2 neutralizing antibody single B cell BCR sequencing molecular modeling

Machine Learning Approach to Enhance the Performance of MNP?Labeled Lateral Flow Immunoassay

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Nano-Micro Letters 2019年第1期11卷 132-146页

作者： Wenqiang Yan Kan Wang Hao Xu Xuyang Huo Qinghui Jin Daxiang cui Department of Instrument science and Engineering School of Electronic Information and Electrical Engineering Shanghai Engineering Research Center for Intelligent Diagnosis and Treatment InstrumentKey Laboratory of Thin Film and Microfabrication (Ministry of Education) Shanghai Jiao Tong University school of Naval Architecture Ocean and Civil Engineering Shanghai Jiao Tong University Department of Biomedical Engineering JiLin Medical University State Key Laboratory of Transducer technology Shanghai Institute of Microsystem and Information Technology Chinese Academy of Sciences Faculty of Electrical Engineering and computer science Ningbo University

The use of magnetic nanoparticle(MNP)-labeled immunochromatography test strips(ICTSs) is very important for point-ofcare testing(POCT). However, common diagnostic methods cannot accurately analyze the weak magnetic signal from ICTSs, limiting the applications of POCT. In this study, an ultrasensitive multiplex biosensor was designed to overcome the limitations of capturing and normalization of the weak magnetic signal from MNPs on ICTSs. A machine learning model for sandwich assays was constructed and used to classify weakly positive and negative samples, which significantly enhanced the specificity and sensitivity. The potential clinical application was evaluated by detecting 50 human chorionic gonadotropin(HCG) samples and 59 myocardial infarction serum samples. The quantitative range for HCG was 1–1000 mIU mL^(-1) and the ideal detection limit was 0.014 mIU mL^(-1), which was well below the clinical threshold. Quantitative detection results of multiplex cardiac markers showed good linear correlations with standard values. The proposed multiplex assay can be readily adapted for identifying other biomolecules and also be used in other applications such as environmental monitoring, food analysis, and national security.

关键词： Point-of-care testing Immunochromatography test strips Magnetic nanoparticles Machine learning Support vector machine

Data-driven Seeing Prediction for Optics Telescope:from Statistical Modeling,Machine Learning to Deep Learning Techniques

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Research in Astronomy and Astrophysics 2022年第12期22卷 152-165页

作者： Wei-Jian Ni Quan-Le Shen Qing-Tian Zeng Huai-Qing Wang Xiang-Qun cui tong Liu College of computer science and Engineering Shandong University of Science and TechnologyQingdao 266510China Nanjing institute of Astronomical Optics&technology National Astronomical ObservatoriesNanjing 210042China

Predicting seeing of astronomical observations can provide hints of the quality of optical imaging in the near future,and facilitate flexible scheduling of observation tasks to maximize the use of astronomical *** approaches to seeing prediction mostly rely on regional weather models to capture the in-dome optical turbulence *** to the developing of data gathering and aggregation facilities of astronomical observatories in recent years,data-driven approaches are becoming increasingly feasible and attractive to predict astronomical *** paper systematically investigates data-driven approaches to seeing prediction by leveraging various big data techniques,from traditional statistical modeling,machine learning to new emerging deep learning methods,on the monitoring data of the Large sky Area Multi-Object fiber Spectroscopic Telescope(LAMOST).The raw monitoring data are preprocessed to allow for big data *** we formulate the seeing prediction task under each type of modeling framework and develop seeing prediction models through using representative big data techniques,including ARIMA and Prophet for statistical modeling,MLP and XGBoost for machine learning,and LSTM,GRU and Transformer for deep *** perform empirical studies on the developed models with a variety of feature configurations,yielding notable insights into the applicability of big data techniques to the seeing prediction task.

关键词： methods:data analysis methods:statistical telescopes

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CCSDS-TC协议安全技术分析研究

南京大学学报（自然科学版） 2018年第3期54卷 548-554页

作者：陈红周钠佟晓筠刘杰哈尔滨工业大学(威海)计算机科学与技术学院威海264209 中国空间技术研究院通信卫星事业部北京100081

由于空间链路固有的开放性,国际空间数据系统咨询委员会(Consultative Committee for Space Data Systems,CCSDS)建立的空间数据系统面临着窃听、篡改、伪装等安全威胁,因此研究CCSDS空间数据系统链路层的安全协议和安全技术十分重要.... 详细信息

由于空间链路固有的开放性,国际空间数据系统咨询委员会(Consultative Committee for Space Data Systems,CCSDS)建立的空间数据系统面临着窃听、篡改、伪装等安全威胁,因此研究CCSDS空间数据系统链路层的安全协议和安全技术十分重要.研究基于CCSDS空间通信系统链路层遥控(Telecommand,TC)协议采用的加密、认证及认证加密等安全技术,分析了TC协议为用户提供的服务,TC使用的协议数据单元和协议执行规程,研究了空间数据链路安全(Space Data Link Security,SDLS)协议为CCSDS链路协议提供的加密、认证和认证加密等安全服务的原理和协议执行规程,并利用OPNET网络仿真平台对使用SDLS协议的TC协议的协议规程进行了实现与仿真,验证了通过SDLS协议将安全技术应用于TC协议的正确性和可行性.结果表明,SDLS协议采用的加密、认证及认证加密等安全技术可以为CCSDS链路层的协议提供安全防护,为真实的空间通信网络的通信安全提供技术支持和重要保障.

关键词： CCSDS-TC协议 SDLS协议认证技术加密认证技术认证加密技术

基于压缩感知和超混沌系统的图像压缩加密方法

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计算机科学 2023年第S1期50卷 714-719页

作者：潘涛佟晓筠张淼王翥哈尔滨工业大学(威海)计算机科学与技术学院山东威海264209 哈尔滨工业大学(威海)信息科学与工程学院山东威海264209

在医疗、军事、金融系统等需要传输重要图像的场景下,为了安全高效地传输图像,将图像进行压缩加密是一种行之有效的办法,图像经过压缩后传输可以减小传输开销,经过加密后也可以抵抗一些攻击者的攻击手段,保证了信息的安全性。基于压缩... 详细信息

在医疗、军事、金融系统等需要传输重要图像的场景下,为了安全高效地传输图像,将图像进行压缩加密是一种行之有效的办法,图像经过压缩后传输可以减小传输开销,经过加密后也可以抵抗一些攻击者的攻击手段,保证了信息的安全性。基于压缩感知理论可以完成稀疏采样,超混沌系统能够为系统安全性提供保障。同时,文中还分析了超混沌系统的混沌特性,证明了该系统是混沌的且足够安全,超混沌系统生成的混沌序列还被用于构造测量矩阵,从而不必在传输过程中传输文本较大的矩阵,而只需要传输密钥即可。在压缩理论基础上还使用了置乱扩散操作,扩散采用了与明文相关的扩散操作,使图像安全性得到了很大提升,保障了数据安全。经过实验测试,图像的压缩加密效果较好,密钥空间大、对密钥足够敏感,说明所提方法能够抵抗暴力攻击、统计攻击等多种常用的攻击方法;在压缩比正常的情况下恢复得到的解密图像与原文图像在视觉上差距较小,甚至与原文图像相差无几,说明该算法重构质量较好,安全性较高。

关键词：混沌系统压缩感知压缩加密视觉安全图像安全