检索结果-南通市图书馆

Achievable Rate Analysis and Optimization of Double-RIS Assisted Spatially Correlated MIMO with Statistical CSI

China Communications 2025年第1期22卷 139-157页

作者： Xu Kaizhe Guo Jiajia Zhang Jun Jin Shi Ma Shaodan Department of Communications and Networking Xi’an Jiaotong-Liverpool UniversitySuzhou 215123China state key laboratory of Internet of Things for Smart City University of MacaoMacao SARChina Jiangsu key laboratory of Wireless Communications Nanjing University of Posts and TelecommunicationsNanjing 210003China National Mobile Communications Research laboratory Southeast UniversityNanjing 210096China state key laboratory of Internet of Things for Smart City and the Department of Electrical and computer Engineering University of MacaoMacao SARChina

Reconfigurable intelligent surface(RIS)is a novel meta-material which can form a smart radio environment by dynamically altering reflection directions of the impinging electromagnetic *** the prior literature,the inter-RIS links which also contribute to the performance of the whole system are usually neglected when multiple RISs are *** this paper we investigate a general double-RIS assisted multiple-input multiple-output(MIMO)wireless communication system under spatially correlated non line-of-sight propagation channels,where the cooperation of the double RISs is also *** design objective is to maximize the achievable ergodic rate based on full statistical channel state information(CSI).Specifically,we firstly present a closedform asymptotic expression for the achievable ergodic rate by utilizing replica method from statistical *** a full statistical CSI-enabled optimal design is proposed which avoids high pilot training overhead compared to instantaneous CSI-enabled *** further reduce the signal processing overhead and lower the complexity for practical realization,a common-phase scheme is proposed to design the double *** results show that the derived asymptotic ergodic rate is quite accurate even for small-sized antenna *** the proposed optimization algorithm can achieve substantial gain at the expense of a low overhead and ***,the cooperative double-RIS assisted MIMO framework is proven to achieve superior ergodic rate performance and high communication reliability under harsh propagation environment.

关键词： common reflection pattern double RISs large system analysis MIMO replica method

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Surface-confined persistent luminescence with amplified FRET efficiency for cell-cell communication monitoring

引用

science China Chemistry 2025年

作者： Ziyun Miao Wenjing Dai Yubin Jin Bing Qi Jiayi Chen Lingling Qiu Yurong Wei Jie Wang The key lab of Health Chemistry&Molecular Diagnosis of Suzhou College of ChemistryChemical Engineering&Materials ScienceSoochow University

Microbial communication monitoring is vital for understanding the mechanisms beneath gut microbiota equilibrium, infections,and biomanufacturing. Herein, we reported monitoring bacterial communication by surface-confined persistent ***, we constructed core-shell structured Zn1.4Ga1.2Ge0.4O4@Zn1.4Ga1.2Ge0.4O4:Cr（ZGGO@ZGGO:Cr） persistent luminescence nanoparticles（PLNPs） with amplified FRET efficiency for the detection of azoreductase（AzoR） that participates in bacterial communication. ZGGO@ZGGO:Cr nanoparticles were functionalized with an azo black hole quencher（ZGGO@ZGGO:Cr-BHQ-3）. Due to the proximity of surface-confined persistent luminescence with the surface-bound BHQ-3,ZGGO@ZGGO:Cr-BHQ-3 exhibited a FRET efficiency up to 1.6 times that of traditional ZGGO:Cr-BHQ-3. Further, the specific catalytic reduction of azo bonds in BHQ-3 by bacterial extracellular AzoR recovers the persistent luminescence of ZGGO@ZGGO:Cr. ZGGO@ZGGO:Cr-BHQ-3 displayed superior sensitivity and speed in detecting extracellular AzoR over ZGGO:Cr-BHQ-3, attributed to its surface-confined persistent luminescence. We found that the peak secretion of AzoR occurs during the exponential growth period of bacteria including S. aureus and E. coli based on the persistent luminescence recovery rate of ZGGO@ZGGO:Cr-BHQ-3. Furthermore, ZGGO@ZGGO:Cr-BHQ-3 was used to probe the communication between different bacterial species. R. palustris is a kind of lycopene-production bacteria. We found that the cohabitation of R. palustris and S. putrefaciens boosted both AzoR secretion and lycopene production. Moreover, the secretion and activity of AzoR positively correlated with lycopene production, suggesting that AzoR may participate in the communication between R. palustris and S. putrefaciens to promote lycopene production. This study offers a robust method to enhance PLNP-based biosensing sensitivity and provides a promising strategy for microbial communication monitoring.

关键词：

来源：

同方期刊数据库评论

在线全文

同方期刊数据库

学校读者我要写书评

暂无评论

Development and application of an intelligent thermal state monitoring system for sintering machine tails based on CNN-LSTM hybrid neural networks

引用

Journal of Iron and Steel Research International 2025年第1期32卷 52-63页

作者： Da-lin Xiong Xin-yu Zhang Zheng-wei Yu Xue-feng Zhang Hong-ming Long Liang-jun Chen Anhui Province key laboratory of Metallurgical Engineering&Resources Recycling Anhui University of TechnologyMa’anshan243002AnhuiChina School of Metallurgical Engineering Anhui University of TechnologyMa’anshan243032AnhuiChina School of computer science Anhui University of TechnologyMa’anshan243032AnhuiChina

Real-time prediction and precise control of sinter quality are pivotal for energy saving,cost reduction,quality improvement and efficiency enhancement in the ironmaking *** advance,the accuracy and comprehensiveness of sinter quality prediction,an intelligent flare monitoring system for sintering machine tails that combines hybrid neural networks integrating convolutional neural network with long short-term memory(CNN-LSTM)networks was *** system utilized a high-temperature thermal imager for image acquisition at the sintering machine tail and employed a zone-triggered method to accurately capture dynamic feature images under challenging conditions of high-temperature,high dust,and *** feature images were then segmented through a triple-iteration multi-thresholding approach based on the maximum between-class variance method to minimize detail loss during the segmentation *** the advantages of CNN and LSTM networks in capturing temporal and spatial information,a comprehensive model for sinter quality prediction was constructed,with inputs including the proportion of combustion layer,porosity rate,temperature distribution,and image features obtained from the convolutional neural network,and outputs comprising quality indicators such as underburning index,uniformity index,and FeO content of the *** accuracy is notably increased,achieving a 95.8%hit rate within an error margin of±*** the system is applied,the average qualified rate of FeO content increases from 87.24%to 89.99%,representing an improvement of 2.75%.The average monthly solid fuel consumption is reduced from 49.75 to 46.44 kg/t,leading to a 6.65%reduction and underscoring significant energy saving and cost reduction effects.

关键词： Sinter quality Convolutional neural network Long short-term memory Image segmentation FeO prediction

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

A Support Vector Machine(SVM)Model for Privacy Recommending Data Processing Model(PRDPM)in Internet of Vehicles

引用

computers, Materials & Continua 2025年第1期82卷 389-406页

作者： Ali Alqarni Department of computer science and Artificial Intelligence College of Computing and Information TechnologyUniversity of BishaBisha61922Saudi Arabia

Open networks and heterogeneous services in the Internet of Vehicles(IoV)can lead to security and privacy *** key requirement for such systems is the preservation of user privacy,ensuring a seamless experience in driving,navigation,and *** privacy needs are influenced by various factors,such as data collected at different intervals,trip durations,and user *** address this,the paper proposes a Support Vector Machine(SVM)model designed to process large amounts of aggregated data and recommend privacy preserving *** model analyzes data based on user demands and interactions with service providers or neighboring *** aims to minimize privacy risks while ensuring service continuity and *** SVMmodel helps validate the system’s reliability by creating a hyperplane that distinguishes between maximum and minimum privacy *** results demonstrate the effectiveness of the proposed SVM model in enhancing both privacy and service performance.

关键词： Support vector machine big data IoV privacy-preserving

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Existence and uniqueness of mean field equilibrium in continuous bandit game

引用

science China(Information sciences) 2025年

作者： Xiong WANG Yuqing LI Riheng JIA School of computer science and Technology Huazhong University of Science and Technology School of Cyber science and Engineering Wuhan University Wuhan University Shenzhen Research Institute School of computer science and Technology Zhejiang Normal University

Multiarmed bandit(MAB) models are widely used for sequential decision-making in uncertain environments, such as resource allocation in computer communication systems.A critical challenge in interactive multiagent systems with bandit feedback is to explore and understand the equilibrium state to ensure stable and tractable system performance. Markov games are commonly used to track state evolution and derive learning equilibria with continuous rewards but struggle to scale effectively as the number of agents increases [1].

关键词：

来源：

同方期刊数据库评论

在线全文

同方期刊数据库

学校读者我要写书评

暂无评论

Resolving the developmental mechanisms of cardiac microthrombosis of SARS-CoV-2 based on single-cell transcriptome analysis

引用

science China(Life sciences) 2025年第1期68卷 103-115页

作者： Xizi Luo Nan Zhang Yuntao Liu Beibei Du Xuan Wang Tianxu Zhao Bingqiang Liu Shishun Zhao Jiazhang Qiu Guoqing Wang state key laboratory for Diagnosis and Treatment of Severe Zoonotic Infectious Diseases Key Laboratory for Zoonosis Research of the Ministry of EducationCollege of Basic MedicineJilin UniversityChangchun 130012China College of Mathematics Jilin UniversityChangchun 130021China Department of Cardiology China-Japan Union HospitalJilin UniversityChangchun 130033China Bioinformatic lab School of MathematicsShandong UniversityJinan 250100China state key laboratory for Diagnosis andTreatmentof Severe Zoonotic Infectious Diseases Key Laboratory for Zoonosis Research of the Ministryof EducationCollegeof Veterinary MedicineJilin UniversityChangchun 130062China

The coronavirus disease 2019(COVID-19)outbreak caused by the severe acute respiratory syndrome coronavirus-2(SARS-CoV-2)developed into a global health *** microthrombus caused by SARS-CoV-2 infection is a common complication in patients with *** microthrombosis as a complication of SARS-CoV-2 infection is the primary cause of cardiac injury and death in patietns with severe *** this study,we performed single-cell sequencing analysis of the right ventricular free wall tissue from healthy donors,patients who died during the hypercoagulable period of characteristic coagulation abnormality(CAC),and patients who died during the fibrinolytic period of *** collected 61,187 cells enriched in 24 immune cell subsets and 13 cardiac-resident cell *** found that in the course of SARS-CoV-2 infected heart microthrombus,MYO1 Ehigh RASGEF1 Bhighmonocyte-derived macrophages promoted hyperactivation of the immune system and initiated the extrinsic coagulation pathway by activating chemokines CCL3,*** series of events is the main cause of cardiac microthrombi following SARS-CoV-2 *** a SARS-CoV-2 infected heart microthrombus,excessive immune activation is accompanied by an increase in cellular iron content,which in turn promotes oxidative stress and intensifies intercellular *** induces cells to alter their metabolic environment,resulting in increased sugar uptake via the glycosaminoglycan synthesis *** addition,high levels of reactive oxygen species generated by elevated iron levels promote increased endogenous malondialdehyde synthesis in a subpopulation of cardiac endothelial *** exacerbates endothelial cell dysfunction and exacerbates the coagulopathy process.

关键词： SARS-CoV-2 cardiac microthrombosis immune hyperactivation cell competition

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

A Lightweight Multiscale Feature Fusion Network for Solar Cell Defect Detection

引用

computers, Materials & Continua 2025年第1期82卷 521-542页

作者： Xiaoyun Chen Lanyao Zhang Xiaoling Chen Yigang Cen Linna Zhang Fugui Zhang School of Mechanical Engineering Guizhou UniversityGuiyang550025China School of computer science and Technology Beijing Jiaotong UniversityBeijing100044China

Solar cell defect detection is crucial for quality inspection in photovoltaic power generation *** the production process,defect samples occur infrequently and exhibit random shapes and sizes,which makes it challenging to collect defective ***,the complex surface background of polysilicon cell wafers complicates the accurate identification and localization of defective *** paper proposes a novel Lightweight Multiscale Feature Fusion network(LMFF)to address these *** network comprises a feature extraction network,a multi-scale feature fusion module(MFF),and a segmentation ***,a feature extraction network is proposed to obtain multi-scale feature outputs,and a multi-scale feature fusion module(MFF)is used to fuse multi-scale feature information *** order to capture finer-grained multi-scale information from the fusion features,we propose a multi-scale attention module(MSA)in the segmentation network to enhance the network’s ability for small target ***,depthwise separable convolutions are introduced to construct depthwise separable residual blocks(DSR)to reduce the model’s parameter ***,to validate the proposed method’s defect segmentation and localization performance,we constructed three solar cell defect detection datasets:SolarCells,SolarCells-S,and *** and SolarCells-S are monocrystalline silicon datasets,and PVEL-S is a polycrystalline silicon *** results show that the IOU of our method on these three datasets can reach 68.5%,51.0%,and 92.7%,respectively,and the F1-Score can reach 81.3%,67.5%,and 96.2%,respectively,which surpasses other commonly usedmethods and verifies the effectiveness of our LMFF network.

关键词： Defect segmentation multi-scale feature fusion multi-scale attention depthwise separable residual block

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Detection of Perfect Stealthy Attacks on Cyber-Physical Systems Subject to Measurement Quantizations: A Watermark-Based Strategy

引用

IEEE/CAA Journal of Automatica Sinica 2025年第1期12卷 114-125页

作者： Yu-Ang Wang Zidong Wang Lei Zou Bo Shen Hongli Dong the College of Information science and Technology Donghua University the Engineering Research Center of Digitalized Textile and Fashion Technology Ministry of Education IEEE the College of Electrical Engineering and Automation Shandong University of Science and Technology the Department of computer science Brunel University London Uxbridge the Sanya Offshore Oil and Gas Research Institute Northeast Petroleum University the Artificial Intelligence Energy Research Institute Northeast Petroleum University Heilongjiang Provincial key laboratory of Networking and Intelligent Control Northeast Petroleum University

In this paper, the attack detection problem is investigated for a class of closed-loop systems subjected to unknownbutbounded noises in the presence of stealthy attacks. The measurement outputs from the sensors are quantized before transmission.A specific type of perfect stealthy attack, which meets certain rather stringent conditions, is taken into account. Such attacks could be injected by adversaries into both the sensor-toestimator and controller-to-actuator channels, with the aim of disrupting the normal data flow. For the purpose of defending against these perfect stealthy attacks, a novel scheme based on watermarks is developed. This scheme includes the injection of watermarks(applied to data prior to quantization) and the recovery of data(implemented before the data reaches the estimator).The watermark-based scheme is designed to be both timevarying and hidden from adversaries through incorporating a time-varying and bounded watermark signal. Subsequently, a watermark-based attack detection strategy is proposed which thoroughly considers the characteristics of perfect stealthy attacks,thereby ensuring that an alarm is activated upon the occurrence of such attacks. An example is provided to demonstrate the efficacy of the proposed mechanism for detecting attacks.

关键词： Attack detection cyber-physical systems (CPSs) perfect stealthy attacks watermark-based strategy

来源：

同方期刊数据库评论

在线全文

同方期刊数据库

学校读者我要写书评

暂无评论

Integration of CRISPR screening and proteomic analysis of WDR91 manipulation of endosome-to-cytosol transport of African swine fever virus

引用

science China Life sciences 2025年

作者： Hailong Liu Yilin Guo Zishi Guo Limeng Sun Dagang Tao Xinyun Li Guiqing Peng Shuhong Zhao Shengsong Xie key laboratory of Agricultural Animal Genetics Breeding and Reproduction of Ministry of Education&Key Lab of Swine Genetics and Breeding of Ministry of Agriculture and Rural AffairsHuazhong Agricultural University state key laboratory of Agricultural Microbiology College of Veterinary MedicineHuazhong Agricultural University Hubei Hongshan laboratory Frontiers Science Center for Animal Breeding and Sustainable Production

Dear Editor,African swine fever virus (ASFV) relies heavily on host cellular components for replication, highlighting the complex relationship between the virus and its host(Alcamíet al., 1990). Despite this reliance, the molecular mechanisms governing ASFV infection of host cells remain poorly understood. The low availability of susceptible and permissive cell lines for ASFV replication has hindered research on virus-host interactions, impeding effective antiviral drugs and infection-resistant pig development. Notably, CRISPR screening offers an unbiased and comprehensive method to uncover host factors that are necessary for viral infection,providing a promising avenue for exploring ASFV-host interactions (Puschnik et al., 2017).

关键词：

来源：

同方期刊数据库评论

在线全文

同方期刊数据库

学校读者我要写书评

暂无评论

Domain generalization with semi-supervised learning for people-centric activity recognition

引用

science China(Information sciences) 2025年第1期68卷 171-188页

作者： Jing LIU Wei ZHU Di LI Xing HU Liang SONG Academy for Engineering & Technology Fudan University Shanghai East-bund Research Institute on Networking Systems of AI School of Optoelectronic Information and computer Engineering University of Shanghai for Science & Technology

People-centric activity recognition is one of the most critical technologies in a wide range of real-world applications,including intelligent transportation systems, healthcare services, and brain-computer interfaces. Large-scale data collection and annotation make the application of machine learning algorithms prohibitively expensive when adapting to new tasks. One way of circumventing this limitation is to train the model in a semi-supervised learning manner that utilizes a percentage of unlabeled data to reduce the labeling burden in prediction tasks. Despite their appeal, these models often assume that labeled and unlabeled data come from similar distributions, which leads to the domain shift problem caused by the presence of distribution gaps. To address these limitations, we propose herein a novel method for people-centric activity recognition,called domain generalization with semi-supervised learning(DGSSL), that effectively enhances the representation learning and domain alignment capabilities of a model. We first design a new autoregressive discriminator for adversarial training between unlabeled and labeled source domains, extracting domain-specific features to reduce the distribution gaps. Second, we introduce two reconstruction tasks to capture the task-specific features to avoid losing information related to representation learning while maintaining task-specific consistency. Finally, benefiting from the collaborative optimization of these two tasks, the model can accurately predict both the domain and category labels of the source domains for the classification task. We conduct extensive experiments on three real-world sensing datasets. The experimental results show that DGSSL surpasses the three state-of-the-art methods with better performance and generalization.

关键词： activity recognition deep learning domain generalization semi-supervised learning adversarial training

来源：

同方期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

欢迎您,

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

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

请选择保存的检索档案：

请选择收藏分类：

通借通还

欢迎您,

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

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

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：