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ConvNeXt-UperNet-Based Deep Learning Model for Road Extraction from High-Resolution Remote Sensing Images

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Computers, Materials & Continua 2024年第8期80卷 1907-1925页

作者： jing Wang Chen Zhang Tianwen Lin Geographic information and Tourism College Chuzhou UniversityChuzhou239000China Anhui Province Key Laboratory of Physical Geographic Environment Chuzhou UniversityChuzhou239000China

When existing deep learning models are used for road extraction tasks from high-resolution images,they are easily affected by noise factors such as tree and building occlusion and complex backgrounds,resulting in incomplete road extraction and low *** propose the introduction of spatial and channel attention modules to the convolutional neural network ***,ConvNeXt is used as the backbone network,which cooperates with the perceptual analysis network UPerNet,retains the detection head of the semantic segmentation,and builds a new model ConvNeXt-UPerNet to suppress noise *** on the open-source DeepGlobe and CHN6-CUG datasets and introducing the DiceLoss on the basis of CrossEntropyLoss solves the problem of positive and negative sample *** results show that the new network model can achieve the following performance on the DeepGlobe dataset:79.40%for precision(Pre),97.93% for accuracy(Acc),69.2.% for intersection over union(IoU),and 83.56% for mean intersection over union(MIoU).On the CHN6-CUG dataset,the model achieves the respective values of 78.17%for Pre,97.63%for Acc,65.4% for IoU,and 81.46% for *** with other network models,the fused ConvNeXt-UPerNet model can extract road information better when faced with the influence of noise contained in high-resolution remote sensing *** also achieves multiscale image feature information with unified perception,ultimately improving the generalization ability of deep learning {2. in extracting complex roads from high-resolution remote sensing images.

关键词： Deep learning semantic segmentation remote sensing imagery road extraction

Hierarchical Privacy Protection Model in Advanced Metering Infrastructure Based on Cloud and Fog Assistance

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Computers, Materials & Continua 2024年第8期80卷 3193-3219页

作者： Linghong Kuang Wenlong Shi jing Zhang School of Computer science and Mathematics Fujian University of TechnologyFuzhou350118China Fujian Provincial Key Laboratory of Big Data Mining and Applications Fuzhou350118China

The Advanced Metering Infrastructure(AMI),as a crucial subsystem in the smart grid,is responsible for measuring user electricity consumption and plays a vital role in communication between providers and ***,with the advancement of information and communication technology,new security and privacy challenges have emerged for *** address these challenges and enhance the security and privacy of user data in the smart grid,a Hierarchical Privacy Protection Model in Advanced Metering Infrastructure based on Cloud and Fog Assistance(HPPM-AMICFA)is proposed in this *** proposed model integrates cloud and fog computing with hierarchical threshold encryption,offering a flexible and efficient privacy protection solution that significantly enhances data security in the smart *** methodology involves setting user protection levels by processing missing data and utilizing fuzzy comprehensive analysis to evaluate user importance,thereby assigning appropriate protection ***,a hierarchical threshold encryption algorithm is developed to provide differentiated protection strategies for fog nodes based on user IDs,ensuring secure aggregation and encryption of user *** results demonstrate that HPPM-AMICFA effectively resists various attack strategies while minimizing time costs,thereby safeguarding user data in the smart grid.

关键词： AMI cloud and fog assistance fuzzy comprehensive analysis hierarchical threshold encryption

Neural integrated control for a free-floating space robot with suddenly changing parameters

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science china({{2. sciences) 2011年第10期54卷 2091-2099页

作者： ZHANG WenHui 1,2.,QI NaiMing 2.MA {2. 1,3 & XIAO AYang 2.1 School of Electromechanical Engineering,Xuzhou Normal university,Xuzhou 2.1116,{2. 2.School of Aerospace,Harbin institute of technology,Harbin 150001,{2. 3 Department of Engineering,Northeast Agricultural university,Harbin 150001,{2. 1. School of Electromechanical Engineering Xuzhou Normal University Xuzhou 221116 China2. School of Aerospace Harbin Institute of Technology Harbin 150001 China3. Department of Engineering Northeast Agricultural University Harbin 150001 China

Because the state of a free-floating space robot model is uncertain and sudden changes in the model parameters might undermine the stability of the system,this paper proposes a control strategy based on a variable structure neural integrated *** scheme does not need a precise space robot model,making use of the radial basis function neural network ability approach to learn about an uncertain *** network weights are adjusted online in *** the early period of the control phase and parameter changes,the variable structure controller compensates for the uncertain model which the neural network could not learn *** also creates global asymptotic stability for the whole closed-loop *** results show that the controller can handle bad changeable conditions and has important application value for defense,aerospace and other major security fields.

关键词： neural network variable structure adaptive control global asymptotical stability

基于实数遗传算法的波达方向最大似然估计算法

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数据采集与处理 2001年第1期16卷 23-26页

作者：严卫朱兆达肖奚安解放军理工大学气象学院南京211101 南京航空航天大学信息科学与技术学院南京210016

对空间多个窄带信号源的高分辨波达方向估计是雷达、声纳和地震等信号处理中的重要问题之一。为克服一些获取波达方向估计最大似然解算法存在的局部极值问题 ,提高估计精度 ,本文以作者提出的实数遗传算法为搜索工具 ,寻求波达方向最大... 详细信息

对空间多个窄带信号源的高分辨波达方向估计是雷达、声纳和地震等信号处理中的重要问题之一。为克服一些获取波达方向估计最大似然解算法存在的局部极值问题 ,提高估计精度 ,本文以作者提出的实数遗传算法为搜索工具 ,寻求波达方向最大似然估计的非线性全局最优解。所提出的实数遗传算法由含实数域结构和目标函数信息的实数交叉和变异算子构成 ,是较理想的获取非线性实变量函数全局最优解的方法。对非相参和全相参信源波达方向估计问题的数字仿真结果表明 ,本方法的估计精度明显优于交替极值等一些常规方法。

关键词：波达方向估计最大似然估计遗传算法全局优化信号处理

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Privacy-Preserving Multi-Keyword Fuzzy Adjacency Search Strategy for Encrypted Graph in Cloud Environment

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Computers, Materials & Continua 2024年第3期78卷 3177-3194页

作者： Bin Wu Xianyi Chen Jinzhou Huang Caicai Zhang jing Wang jing Yu Zhiqiang Zhao Zhuolin Mei School of Computer and Big Data science Jiujiang UniversityJiujiang332005China Jiujiang Key Laboratory of Network and information Security Jiujiang332005China School of Computer and Software Nanjing University of Information Science&TechnologyNanjing210044China School of Computer Engineering Hubei University of Arts and ScienceXiangyang441053China School of Modern information technology Zhejiang Institute of Mechanical and Electrical EngineeringHangzhou310053China information Center Jiangxi Changjiang Chemical Co.Ltd.Jiujiang332005China School of Mathematics and Computer science Ningxia Normal UniversityGuyuan756099China

In a cloud environment,outsourced graph data is widely used in companies,enterprises,medical institutions,and so *** owners and users can save costs and improve efficiency by storing large amounts of graph data on cloud *** on cloud platforms usually have some subjective or objective attacks,which make the outsourced graph data in an insecure *** issue of privacy data protection has become an important obstacle to data sharing and *** to query outsourcing graph data safely and effectively has become the focus of *** query is a basic and frequently used operation in graph,and it will effectively promote the query range and query ability if multi-keyword fuzzy search can be supported at the same *** work proposes to protect the privacy information of outsourcing graph data by encryption,mainly studies the problem of multi-keyword fuzzy adjacency query,and puts forward a *** our scheme,we use the Bloom filter and encryption mechanism to build a secure index and query token,and adjacency queries are implemented through indexes and query tokens on the cloud *** proposed scheme is proved by formal analysis,and the performance and effectiveness of the scheme are illustrated by experimental *** research results of this work will provide solid theoretical and technical support for the further popularization and application of encrypted graph data processing technology.

关键词： Privacy-preserving adjacency query multi-keyword fuzzy search encrypted graph

Traffic Flow Prediction with Heterogeneous Spatiotemporal Data Based on a Hybrid Deep Learning Model Using Attention-Mechanism

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Computer Modeling in Engineering & sciences 2024年第8期140卷 1711-1728页

作者： jing-Doo Wang Chayadi Oktomy Noto Susanto Departement of Computer science and information Engineering Asia UniversityTaichungTaiwanChina Departement of information technology Universitas Muhammadiyah YogyakartaYogyakartaIndonesia

A significant obstacle in intelligent transportation systems(ITS)is the capacity to predict traffic *** advancements in deep neural networks have enabled the development of models to represent traffic flow ***,accurately predicting traffic flow at the individual road level is extremely difficult due to the complex interplay of spatial and temporal *** paper proposes a technique for predicting short-term traffic flow data using an architecture that utilizes convolutional bidirectional long short-term memory(Conv-BiLSTM)with attention *** studies neglected to include data pertaining to factors such as holidays,weather conditions,and vehicle types,which are interconnected and significantly impact the accuracy of forecast *** addition,this research incorporates recurring monthly periodic pattern data that significantly enhances the accuracy of forecast *** experimental findings demonstrate a performance improvement of 2..68%when incorporating the vehicle type feature.

关键词： Traffic flow prediction sptiotemporal data heterogeneous data Conv-BiLSTM data-centric intra-data

XPull: A Relay-Based Blockchain Intercommunication Framework Achieving Cross-Chain State Pulling

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Chinese Journal of Electronics 2024年第5期33卷 1261-1273页

作者： Xinyu LIANG jing CHEN Ruiying DU School of Cyber science and Engineering Wuhan University

Cross-chain technology, which enables different blockchains to intercommunicate with one another,is challenging. Many existing cross-chain platforms, such as Polkadot and Cosmos, generally adopt a relay-based scheme: A relaychain(relay blockchain) receives and records the state information from every parachain(parallel blockchain), and publish the information on the platform, by which parachains are able to efficiently acquire the state information from one another. In the condition when parachain is consortium blockchain, the cross-chain platform cannot work properly. On the one hand, whether state information is submitted to relaychain is completely decided by the internal decision of parachain. The timeliness of state information cannot be guaranteed. On the other hand, the transfer of state information will be interrupted due to the failure of parachain or relaychain-parachain connection. In this paper, we propose a relay-based blockchain intercommunication framework, called XPull(crosspulling). Specifically, to ensure the timeliness of state information, we propose a cross-chain state pulling scheme based on cosigned state pulling agreement. To solve the interruption of state transfer, we propose a random scheduling scheme to resume the transfer, or confirm the failure of parachain. The security analysis and experimental results demonstrate that XPull is secure and efficient.

关键词： Processor scheduling Real-time systems Blockchains Consensus protocol Security Relays Blockchain interoperability Cross-chain State pulling

Effect of rapid rehabilitation nursing on improving clinical outcomes in postoperative patients with colorectal cancer

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World Journal of Gastrointestinal Surgery 2024年第7期16卷 2119-2134页

作者： jing-Yan Song jing Cao Jian Mao Jiang-Lian Wang Department of Nursing The First Affiliated Hospital of Chongqing Medical UniversityChongqing 400016China Department of Oncology The First Affiliated Hospital of Chongqing Medical UniversityChongqing 400016China information Center The First Affiliated Hospital of Chongqing Medical UniversityChongqing 400016China Department of Oncology Yunyang County People's HospitalChongqing 400016China

BACKGROUND Surgical resection is the cornerstone treatment for colorectal *** rehabilitation care predicated on evidence-based medical theory aims to improve postoperative nursing care,subsequently reducing the physical and mental traumatic stress response and helping patients who undergo surgery recover *** To assess the effect of rapid rehabilitation care on clinical outcomes,including overall postoperative complications,anastomotic leaks,wound infections,and intestinal obstruction in patients with colorectal *** We searched the PubMed,Web of science,Embase,Elsevier science Direct,and Springer Link databases from January 1,{2.10,to January 1,{2.{2.,to screen eligible studies on rapid rehabilitation care among patients who underwent colorectal cancer *** were screened based on the inclusion and exclusion *** 5.4 software was used for statistical analysis of the *** Twelve studies were enrolled,which included {2.{2. *** results showed that rapid rehabilitation care decreased the incidence of overall postoperative complications(OR:0.44,95%CI:0.{2.–0.74,P=0.00{2.,anastomotic leaks(OR:0.68,95%CI:0.41–1.1{2.P=0.13),wound infections(OR:0.45,95%CI:0.{2.–0.7{2.P=0.0007),and intestinal obstruction(OR:0.54,95%CI:0.34–0.86,P=0.01)compared to conventional *** trials and studies are needed to confirm these *** Rapid rehabilitation care decreased the occurrence of postoperative complications,anastomotic leaks,wound infections,and intestinal obstruction compared to conventional care in patients who underwent colorectal ***,promoting the application of rapid rehabilitation care in clinical practice cannot be overemphasized.

关键词： Rapid rehabilitation care Anastomotic leak Wound infection Intestinal obstruction Colorectal cancer

Added Benefit of the Early-Morning-Orbit Satellite Fengyun-3E on the Global Microwave Sounding of the Three-Orbit Constellation

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Advances in Atmospheric sciences 2024年第1期41卷 39-52页

作者： Juan LI Zhengkun QIN Guiqing LIU jing HUANG CMA Earth System Modeling and Prediction Centre Beijing 100081China State Key Laboratory of Severe Weather Chinese Academy of Meteorological SciencesBeijing 100081China Joint Center for Data Assimilation Research and Applications School of Atmospheric SciencesNanjing University of Information Science&TechnologyNanjing 210044China

The three-orbit constellation can comprehensively increase the spatial coverage of polar-orbiting satellites,but the polar-orbiting satellites currently in operation are only mid-morning-orbit and afternoon-orbit ***-3E(FY-3E)was launched successfully on 5 July 2.2. in *** an early-morning-orbit satellite,FY-3E can help form a complete three-orbit observation system together with the mid-morning and afternoon satellites in the current mainstream operational *** this study,we investigate the added benefit of FY-3E microwave sounding observations to the midmorning-orbit Meteorological Operational satellite-B(Met Op-B)and afternoon-orbit Fengyun-3D(FY-3D)microwave observations in the Chinese Meteorological Administration global forecast system(CMA-GFS).The results show that the additional FY-3E microwave temperature sounder-3(MWTS-3)and microwave humidity sounder-2.MWHS-2.data can increase the global coverage of microwave temperature and humidity sounding data by 14.8% and 10.6%,*** enables the CMA-GFS to achieve nearly 100% global coverage of microwave-sounding observations at each analysis ***,after effective quality control and bias correction,the global biases and standard deviations of the differences between observations and model simulations are also *** on the Advanced Microwave Sounding Unit A and the Microwave Humidity Sounder onboard Met Op-B,and the MWTS-2.and MWHS-2.onboard FY-3D,adding the microwave sounding data of FY-3E can further reduce the errors of analysis results and improve the global prediction skills of CMA-GFS,especially for the southern-hemisphere forecasts within 96 hours,all of which are significant at the 95% confidence level.

关键词： data assimilation microwave temperature sounder MWTS-3

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