检索结果-内蒙古大学图书馆

Deep learning for steganalysis based on filter diversity selection

science China(Information sciences) 2018年第12期61卷 196-198页

作者： Kai ZHONG Guorui FENG Liquan SHEN Jun LUO Shanghai Institute for Advanced Communication and Data Science Shanghai University School of Communication and Information Engineering Shanghai University School of Mechatronic Engineering and Automation Shanghai University

Dear editor,Steganography is an important method of covert communication. Steganalysis, an advanced antisteganographic technique can detect steganographic behavior and even reveal the stego key in a certain steganographic method [1]. Steganalysis includes specialized steganalysis [2] and universal steganalysis [3]. This study focuses on feature extraction [3] and feature post-processing [4].

关键词： HPF Deep learning for steganalysis based on filter diversity selection

来源：评论

学校读者我要写书评

暂无评论

A Network-Level Connected Autonomous Driving Evaluation Platform Implementing C-V2X Technology

引用

China communications 2021年第6期18卷 77-88页

作者： Siyu Fu Wei Zhang Zhiyuan Jiang School of Communication&Information Engineering Shanghai UniversityShanghai 200444China Shanghai Institute for Advanced Communication and Data Science(Shanghai University) Shanghai 200444China

With the emerging connected autonomous driving paradigm,more advanced applications leveraging vehicular communications are drawing tremendous *** order to analyze the feasibility and performance of these applications,it is necessary to build an evaluation platform that jointly considers vehicular communication,road traffic and vehicle *** article describes our recent progress on network-level autonomous driving simulator based on the Cellular-Vehicle-to-Everything(C-V2X)protocol,and a joint platform combined with SUMO and CARLA simulators for evaluating road traffic and vehicle *** demonstrate its effectiveness,this article implements a hybrid multi-intersection scheduling scheme on the platform,and shows the advantages of the scheme in terms of traffic efficiency and fault tolerance.A remote driving application based on CARLA,wherein the interplay between communication and computation is also investigated.

关键词： performance evaluation LTE-V2X SUMO CARLA multi-intersection remote driving

来源：评论

学校读者我要写书评

暂无评论

Efficient COVID-19 detection using data mining algorithms: a comparison of basic and hybrid approaches

引用

Soft Computing 2025年第3期29卷 1437-1451页

作者： Saidi, Mohammad Gheibi, Mohammad Ghazikhani, Adel Lotfata, Aynaz Chahkandi, Benyamin Familsamavati, Sajad Behzadian, Kourosh Department of Computer Science Imam Reza International University Mashhad Iran MS of Software Engineering Information and Communication Technology Unit Mashhad Municipality Fire and Safety Services Organization Mashhad Iran Big Data Lab Imam Reza International University Mashhad Iran Institute for Nanomaterials Advanced Technologies and Innovation Technical University of Liberec Liberec46117 Czech Republic Tallinn10615 Estonia Department of Pathology Microbiology and Immunology School of Veterinary Medicine University of California Davis95616 United States Department of Urban and Regional Planning San Jose State University San Jose95192 United States Faculty of Civil and Environmental Engineering Gdansk University of Technology Narutowicza Street 11/12 80-233 Gdansk Poland Tecnologico de Monterrey Escuela de Ingeniería y Ciencias Monterrey Mexico School of Computing and Engineering University of West London London United Kingdom

Accurate and efficient diagnosis of COVID-19 remains a significant challenge due to the limitations of current detection methods, such as blood tests and chest scans, which can be time-consuming and error-prone. This study aims to compare the performance of basic and hybrid data mining algorithms in diagnosing COVID-19, using blood test results and clinical information to identify the most effective approach. A dataset of 200 records from suspected and infected COVID-19 patients, with 23 characteristics and one diagnostic class, was analysed. Nine data mining algorithms were tested: four basic algorithms (Naive Bayes, Support Vector Machine, Decision Tree, K-Nearest Neighbor) and five hybrid algorithms (Random Forest, AdaBoost, Majority Voting, XGBoost, Bagging). The study also integrated Response Surface Methodology (RSM) and Adaptive-Network-based Fuzzy Inference System (ANFIS) to enhance model performance. The Bagging algorithm demonstrated superior performance with an accuracy of 88%, sensitivity of 74%, and F-criterion of 78%. The integration of RSM and ANFIS further showed that a smart model could be developed for efficient pandemic crisis management, achieving up to 100% accuracy when considering key factors like AST, Albumin, and CRP. The findings suggest that Bagging and hybrid data mining algorithms can significantly improve COVID-19 detection, reducing time and errors in identifying exposed individuals. The study highlights the potential of combining machine learning techniques with RSM-ANFIS models for effective pandemic management and decision-making in medical settings. © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2025.

关键词： Support vector machines

来源：评论

学校读者我要写书评

暂无评论

Attacking Strategy of Multiple Unmanned Surface Vehicles with Improved GWO Algorithm Under Control of Unmanned Aerial Vehicles

引用

Journal of shanghai Jiaotong university(science) 2020年第2期25卷 201-207页

作者： WU Xin PU Juan XIE Shaorong School of Computer Engineering and Science Shanghai UniversityShanghai 200444China Shanghai Institute for Advanced Communication and Data Science Shanghai 200444China

Unmanned combat system is one of the important means to capture information superiority,carry out precision strike and accomplish special combat tasks in information *** attack strategy plays a crucial role in unmanned combat system,which has to ensure the attack by unmanned surface vehicles(USVs)from *** meet the challenge,we propose a task allocation algorithm called distributed auction mechanism task allocation with grey wolf optimization(DAGWO).The traditional grey wolf optimization(GWO)algorithm is improved with a distributed auction mechanism(DAM)to constrain the initialization of wolves,which improves the optimization process according to the actual *** addition,one unmanned aerial vehicle(UAV)is employed as the central control system to establish task allocation model and construct fitness function for the multiple constraints of USV attack *** proposed DAGWO algorithm can not only ensure the diversity of wolves,but also avoid the local optimum *** results show that the proposed DAGWO algorithm can effectively solve the problem of attack task allocation among multiple USVs.

关键词： unmanned surface vehicle(USV) attack strategy grey wolf optimization(GWO) task allocation unmanned aerial vehicle(UAV)

来源：评论

学校读者我要写书评

暂无评论

Progress in silicon-based reconfigurable and programmable all-optical signal processing chips

引用

Frontiers of Optoelectronics 2025年第1期18卷 10-10页

作者： Xu, Jing Dong, Wenchan Huang, Qingzhong Zhang, Yujia Yin, Yuchen Zhao, Zhenyu Zeng, Desheng Gao, Xiaoyan Gu, Wentao Yang, Zihao Li, Hanghang Han, Xinjie Geng, Yong Zhai, Kunpeng Chen, Bei Fu, Xin Lei, Lei Wu, Xiaojun Dong, Jianji Su, Yikai Li, Ming Liu, Jianguo Zhu, Ninghua Guo, Xuhan Zhou, Heng Wen, Huashun Qiu, Kun Zhang, Xinliang Wuhan National Laboratory for Optoelectronics and School of Optical and Electronic Information Huazhong University of Science and Technology Wuhan430074 China Optics Valley Laboratory Wuhan430074 China State Key Laboratory of Advanced Optical Communication Systems and Networks Department of Electronic Engineering Shanghai Jiao Tong University Shanghai200240 China Key Lab of Optical Fiber Sensing and Communication Networks University of Electronic Science and Technology of China Chengdu611731 China Institute of Intelligent Photonics Nankai University Tianjin300071 China Key Laboratory of Optoelectronic Materials and Devices Institute of Semiconductors Chinese Academy of Sciences Beijing100083 China College of Physics and Optoelectronic Engineering Shenzhen University Shenzhen518060 China School of Electronic and Information Engineering Beihang University Beijing100191 China

Taking the advantage of ultrafast optical linear and nonlinear effects, all-optical signal processing (AOSP) enables manipulation, regeneration, and computing of information directly in optical domain without resorting to electronics. As a promising photonic integration platform, silicon-on-insulator (SOI) has the advantage of complementary metal oxide semiconductor (CMOS) compatibility, low-loss, compact size as well as large optical nonlinearities. In this paper, we review the recent progress in the project granted to develop silicon-based reconfigurable AOSP chips, which aims to combine the merits of AOSP and silicon photonics to solve the unsustainable cost and energy challenges in future communication and big data applications. Three key challenges are identified in this project: (1) how to finely manipulate and reconfigure optical fields, (2) how to achieve ultra-low loss integrated silicon waveguides and significant enhancement of nonlinear effects, (3) how to mitigate crosstalk between optical, electrical and thermal components. By focusing on these key issues, the following major achievements are realized during the project. First, ultra-low loss silicon-based waveguides as well as ultra-high quality microresonators are developed by advancing key fabrication technologies as well as device structures. Integrated photonic filters with bandwidth and free spectral range reconfigurable in a wide range were realized to finely manipulate and select input light fields with a high degree of freedom. Second, several mechanisms and new designs that aim at nonlinear enhancement have been proposed, including optical ridge waveguides with reverse biased PIN junction, slot waveguides, multimode waveguides and parity-time symmetry coupled microresonators. advanced AOSP operations are verified with these novel designs. Logical computations at 100 Gbit/s were demonstrated with self-developed, monolithic integrated programmable optical logic array. High-dimensional multi-valu

关键词： Four wave mixing

来源：评论

学校读者我要写书评

暂无评论

Predicting the onset temperature（Tg） of GexSe1-x glass transition: a feature selection based two-stage support vector regression method

引用

science Bulletin 2019年第16期64卷 1195-1203页

作者： Yue Liu Junming Wu Guang Yang Tianlu Zhao Siqi Shi School of Computer Engineering and Science Shanghai UniversityShanghai 200444China Shanghai Institute for Advanced Communication and Data Science Shanghai UniversityShanghai 200444China School of Materials Science and Engineering Shanghai UniversityShanghai 200444China Materials Genome Institute Shanghai UniversityShanghai 200444China

Despite the usage of both experimental and topological methods, realizing a rapid and accurate measurement of the onset temperature(Tg ) of GexSe1-xglass transition remains an open challenge. In this paper, a predictive model for the Tg in GexSe1-xglass system is presented by a machine learning method named feature selection based two-stage support vector regression(FSTS-SVR). Firstly, Pearson correlation coefficient(PCC) is used to select features highly correlated with Tg from the candidate features of GexSe1-x glass system. Secondly, in order to simulate the two-stage characteristic of Tg which is caused by structural variation with a turning point at x = 0.33 via the structural analysis, SVR is utilized to build predictive models for two stages separately and then the two achieved models are synthesized using a minimum error based model for Tg prediction. Compared with the topological and other methods based on SVR, the FSTS-SVR gives the highest predictive accuracy with the root mean square error(RMSE) and mean absolute percentage error(MAPE) of 10.64 K and 2.38%, respectively. This method is also expected to be more efficient for the prediction of Tg of other glass systems with the multi-stage characteristic.

关键词： Onset temperature of glass transition Machine learning Support vector machine

来源：评论

学校读者我要写书评

暂无评论

A Near-Optimal Category Information Sampling in RFID Systems

引用

IEEE Transactions on Mobile Computing 2025年

作者： Wang, Xiujun Liu, Zhi Zhou, Xiaokang Liao, Yong Hu, Han Zheng, Xiao Li, Jie Anhui University of Technology School of Computer Science Ma'anshan243032 China Anhui Engineering Research Center for Intelligent Applications and Security of Industrial Internet Ma'anshan243032 China University of Electro-Communications Graduate School of Informatics and Engineering Tokyo182- 8585 Japan Shiga University Faculty of Data Science Hikone522-8522 Japan RIKEN Center for Advanced Intelligence Project Tokyo103-0027 Japan University of Science and Technology of China School of Cyber Science and Technology Hefei China Beijing Institute of Technology School of Information and Electronics Beijing China School of Electronic Information and Electrical Engineering Shanghai200240 China

In many RFID-enabled applications, objects are classified into different categories, and the information associated with each object's category (called category information) is written into the attached tag, allowing the reader to access it later. The category information sampling in such RFID systems, which is to randomly choose (sample) a few tags from each category and collect their category information, is fundamental for providing real-time monitoring and analysis in RFID. However, to the best of our knowledge, two technical challenges, i.e., how to guarantee a minimized execution time and reduce collection failure caused by missing tags, remain unsolved for this problem. In this paper, we address these two limitations by considering how to use the shortest possible time to sample a different number of random tags from each category and collect their category information sequentially in small batches. In particular, we first obtain a lower bound on the execution time of any protocol that can solve this problem. Subsequently, we present a near-OPTimal Category information sampling protocol (OPT-C) that solves the problem with an execution time close to the lower bound. Finally, extensive simulation results demonstrate the superiority of OPT-C over existing protocols, while real-world experiments further validate its practicality. © 2002-2012 IEEE.

关键词： category information sampling execution time lower bound near-optimal protocol RFID systems

来源：评论

学校读者我要写书评

暂无评论

Intelligent control of mode-locked femtosecond pulses by time-stretch-assisted real-time spectral analysis

引用

Light(science & Applications) 2020年第1期9卷 1881-1888页

作者： Guoqing Pu Lilin Yi Li Zhang Chao Luo Zhaohui Li Weisheng Hu State Key Lab of Advanced Communication Systems and Networks Shanghai Institute for Advanced Communication and Data ScienceShanghai Jiao Tong UniversityShanghai 200240China Sun Yat-sen University/Southern Marine Science and Engineering Guangdong Laboratory ZhuhaiChina

Mode-locked fiber lasers based on nonlinear polarization evolution can generate femtosecond pulses with different pulse widths and rich spectral distributions for versatile applications through polarization ***,a precise and repeatable location of a specific pulsation regime is extremely ***,by using fast spectral analysis based on a time-stretched dispersion Fourier transform as the spectral discrimination criterion,along with an intelligent polarization search algorithm,for the first time,we achieved real-time control of the spectral width and shape of mode-locked femtosecond pulses;the spectral width can be tuned from 10 to 40 nm with a resolution of ~1.47 nm,and the spectral shape can be programmed to be hyperbolic secant or ***,we reveal the complex,repeatable transition dynamics of the spectrum broadening of femtosecond pulses,including five middle phases,which provides deep insight into ultrashort pulse formation that cannot be observed with traditional mode-locked lasers.

关键词： polarization tuning spectral

来源：评论

学校读者我要写书评

暂无评论

Learning to Beamform for Cooperative Localization and communication: A Link Heterogeneous GNN-Based Approach

arXiv

引用

arXiv 2025年

作者： Lian, Lixiang Bai, Chuanqi Xu, Yihan Dong, Huanyu Cheng, Rui Zhang, Shunqing School of Information Science and Technology ShanghaiTech University Shanghai201210 China Shanghai Institute for Advanced Communication and Data Science Key Laboratory of Specialty Fiber Optics and Optical Access Networks School of Information and Communication Engineering Shanghai University Shanghai200444 China

Integrated sensing and communication (ISAC) has emerged as a key enabler for next-generation wireless networks, supporting advanced applications such as high-precision localization and environment reconstruction. Cooperative ISAC (CoISAC) further enhances these capabilities by enabling multiple base stations (BSs) to jointly optimize communication and sensing performance through coordination. However, CoISAC beamforming design faces significant challenges due to system heterogeneity, large-scale problem complexity, and sensitivity to parameter estimation errors. Traditional deep learning-based techniques fail to exploit the unique structural characteristics of CoISAC systems, thereby limiting their ability to enhance system performance. To address these challenges, we propose a Link-Heterogeneous Graph Neural Network (LHGNN) for joint beamforming in CoISAC systems. Unlike conventional approaches, LHGNN models communication and sensing links as heterogeneous nodes and their interactions as edges, enabling the capture of the heterogeneous nature and intricate interactions of CoISAC systems. Furthermore, a graph attention mechanism is incorporated to dynamically adjust node and link importance, improving robustness to channel and position estimation errors. Numerical results demonstrate that the proposed attention-enhanced LHGNN achieves superior communication rates while maintaining sensing accuracy under power constraints. The proposed method also exhibits strong robustness to communication channel and position estimation error. Copyright © 2025, The Authors. All rights reserved.

关键词： Beamforming

来源：评论

学校读者我要写书评

暂无评论

SPP-MIM Hybridization Meta-Films for High-Sensitivity and High-Stability Biosensing at Optical Fiber End-Facets

SSRN

引用

SSRN 2025年

作者： He, Chenjia Sun, Xiaqing Zhong, Hao Meng, Qing-Feng Zhou, Xuetong Liu, Sihang Zheng, Li Kong, Xiangyang Chen, Shengfu Yang, Tian State Key Laboratory of Advanced Optical Communication Systems and Networks Key Laboratory for Thin Film and Microfabrication The Ministry of Education School of Electronic Information and Electrical Engineering Shanghai Jiao Tong University Shanghai200240 China School of Material Science and Engineering Shanghai Jiao Tong University Shanghai200240 China State Key Laboratory of Materials for Integrated Circuits Shanghai Institute of Microsystem and Information Technology Chinese Academy of Sciences Shanghai200050 China Key Laboratory of Biomass Chemical Engineering College of Chemical and Biological Engineering Zhejiang University Hangzhou310027 China

The specific optical dispersion of metal-insulator-metal (MIM) waveguide allows the hybridization of surface plasmon polaritons (SPPs) and the waveguide, which is not possible with dielectric waveguides. SPP-MIM hybridization creates such a meta-film that integrates the previously incompatible respective merits of SPR and LSPR, including a flat biosensing interface, a high surface sensitivity and efficient coupling with spatially confined illumination. On the other hand, to achieve stable and reproducible performance is one of the greatest but unresolved challenges for nanophotonic biosensors. Yet the underlying mechanism of instability is not well understood. We conclude, from a literature survey, that the stability of biosensing performance is strongly correlated with the flatness of the physical sensing interface. A nanostructured interface, at least, would introduce surface gas nanobubbles to interfere with the interactions between analytes in the solution and ligands on the solid substrate. Hence, the SPP-MIM meta-film provides a capable solution for sealing photonic nanostructures under a flat and stable biosensing interface. We embed the meta-film with a plasmonic crystal cavity and integrate it on a single-mode fiber's end-facet to detect biomolecular interactions. This device demonstrates highly reproducible sensorgrams and convincing detection of biotinylated proteins at down to 30 fM, with the sensorgrams following the Langmuir model. Having both high sensitivity and high stability, our device proposal provides an unprecedentedly comprehensive solution for optical fiber-tip plasmonic devices. It has immediate application values for biomolecular interaction analysis and drug discovery. © 2025, The Authors. All rights reserved.

关键词： MIM devices

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：