检索结果-南通市图书馆

GATiT:An Intelligent Diagnosis Model Based on Graph Attention Network Incorporating Text Representation in Knowledge Reasoning

引用

Computers, Materials & Continua 2024年第9期80卷 4767-4790页

作者： Yu Song Pengcheng Wu Dongming Dai Mingyu Gui Kunli zhang School of Computer and Artificial Intelligence Zhengzhou UniversityZhengzhou450001China

The growing prevalence of knowledge reasoning using knowledge graphs(KGs)has substantially improved the accuracy and efficiency of intelligent medical ***,current models primarily integrate electronic medical records(EMRs)and KGs into the knowledge reasoning process,ignoring the differing significance of various types of knowledge in EMRs and the diverse data types present in the *** better integrate EMR text information,we propose a novel intelligent diagnostic model named the Graph ATtention network incorporating Text representation in knowledge reasoning(GATiT),which comprises text representation,subgraph construction,knowledge reasoning,and diagnostic *** the text representation process,GATiT uses a pre-trained model to obtain text representations of the EMRs and additionally enhances embeddings by including chief complaint information and numerical information in the *** the subgraph construction process,GATiT constructs text subgraphs and disease subgraphs from the KG,utilizing EMR text and the disease to be *** differentiate the varying importance of nodes within the subgraphs features such as node categories,relevance scores,and other relevant factors are introduced into the text ***-passing strategy and attention weight calculation of the graph attention network are adjusted to learn these features in the knowledge reasoning ***,in the diagnostic classification process,the interactive attention-based fusion method integrates the results of knowledge reasoning with text representations to produce the final diagnosis *** results on multi-label and single-label EMR datasets demonstrate the model’s superiority over several state-of-theart methods.

关键词： Intelligent diagnosis knowledge graph graph attention network knowledge reasoning

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

Experimental and Three-Dimensional Numerical Simulation of Phenomena Induced by Submerged Oblique Jet Scouring

引用

Fluid Dynamics & Materials Processing 2024年第8期20卷 1799-1821页

作者： Hao Chen Xianbin Teng Faxin Zhu Zhibin zhang Jie Wang School of Naval Architecture and Maritime Zhejiang Ocean UniversityZhoushan316022China School of Marine Engineering Guangzhou Maritime UniversityGuangzhou510725China

Scouring experiments were conducted using a three-dimensional laser scanning technology for angles of the jet spanning the interval from 0°to 30°,and the characteristics of the scour hole in equilibrium conditions were investigated *** results indicate that the optimal scouring effects occur when the jet angle is in the ranges between 15°and 20°.Moreover,the dimensionless profiles of the scour hole exhibit a high degree of similarity at different jet *** simulations conducted using the Flow-3D software to investigate the bed shear stress along the jet impingement surface have shown that this stress is influenced by both the resultant force and the jet impingement surface *** reaches its maximum value when the jet is vertical,decreases rapidly as the jet starts to tilt,then increases slightly,and decreases again significantly when the angle exceeds 20°.

关键词： Submerged jet jet angle experimental study numerical simulation bed shear stress

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

Wheat FHB resistance assessment using hyperspectral feature band image fusion and deep learning

引用

International Journal of Agricultural and Biological Engineering 2024年第2期17卷 240-249页

作者： Kun Liang Zhizhou Ren Jinpeng Song Rui Yuan Qun zhang College of Artificial Intelligence Nanjing Agricultural UniversityNanjing 210031China Jiangsu Province Engineering Lab for Modern Facility Agriculture Technology&Equipment Nanjing 210031China

The breeding and selection of resistant varieties is an effective way to minimize wheat Fusarium head blight(FHB)hazards,so it is important to identify and evaluate resistant *** traditional resistance phenotype identification is still largely dependent on time-consuming manual *** this paper,the method for evaluating FHB resistance in wheat ears was optimized based on the fusion feature wavelength images of the hyperspectral imaging system and the Faster R-CNN *** spectral data from 400-1000 nm were preprocessed by the multiple scattering correction(MSC)*** feature wavelengths(553 nm,682 nm and 714 nm)were selected by analyzing the X-loading weights(XLW)according to the absolute value of the peaks and troughs in different principal component(PC)load coefficient ***,the different fusion methods of the three feature wavelengths were explored with different weight *** R-CNN was trained on the fusion and RGB datasets with VGG16,AlexNet,ZFNet,and ResNet-50 networks ***,the other detection models SSD,YOLOv5,YOLOv7,CenterNet,and RetinaNet were used to compare with the Faster R-CNN *** a result,the Faster R-CNN with VGG16 was best with the mAP(mean Average Precision)ranged from 97.7%to 98.8%.The model showed the best performance for the Fusion Image-1 ***,the Faster R-CNN model with VGG16 achieved an average detection accuracy of 99.00%,which was 23.89%,1.21%,0.75%,0.62%,and 8.46%higher than SSD,YOLOv5,YOLOv7,CenterNet,and RetinaNet ***,it was demonstrated that the Faster R-CNN model based on the hyperspectral feature image fusion dataset proposed in this paper was feasible for rapid evaluation of wheat FHB *** study provided an important detection method for ensuring wheat food security.

关键词： Fusarium head blight resistance evaluation hyperspectral feature band image fusion deep learning Faster R-CNN

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

Peculiar influence of linearly polarized spectrum illumination patterns on the sensitivity characteristics of locust response to polarized light

引用

International Journal of Agricultural and Biological Engineering 2024年第2期17卷 59-67页

作者： Qihang Liu Huiyuan Zhao Pingchuan zhang Jianxin Cui Guohong Gao Henan Institute of Science and Technology Xinxiang 453003HenanChina Hebi Jiaduoweinong Agriculture and Forestry Technology Co. LtdHebi 458000HenanChina

This study investigated the influence of different linearly polarized spectrum lights on locusts polartactic response characteristics linearly polarized vector sensitivity mode and polartactic response by using linearly polarized spectrum vector light module and experimental *** objective was to clarify the vector sensitivity characteristics and functional effect of linearly polarized light spectrum intensity on locusts polartactic response,determine the influence specificity of linearly polarized spectrum illumination properties on locusts polarization-related *** spectrum and illumination were constant,locusts polartactic response,presenting the response feature of sine and cosine function change specificity,was related to spectrum *** visual acuity effect stimulated by violet spectrum was the best,whereas the optical distance modulation effect induced by orange spectrum was the *** illumination was enhanced,locusts vector sensitivity mode shifted to present the specific sensitivity prompted by light intensity at long distance and inhibited by light intensity at short ***,the regulating function of violet spectrum was the strongest,and the regulatory mutation effect of orange spectrum was the least ***,locusts polartactic sensitivity to 300°vector at 100 lx,whereas to 240°vector at 1000 lx of linearly polarized violet light was the *** polartactic aggregation and visual tendency sensitivity to 90°vector at 100 lx,whereas to 270°vector at 1000 lx of linearly polarized violet light was the *** heterogeneous regulation function of different linearly polarized spectrum couplings with light intensity led to significant variations in locusts vector sensitivity *** was derived from the antagonistic and specific tuning characteristics of locusts polartactic vision,reflecting the integrated output effect of locusts vector dependence regulated by linearly polarized spect

关键词： Locusta migratoria linearly polarized light spectrum illumination pattern locusts polar axis response vector

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

Stratigraphic identification using real-time drilling data

引用

Journal of Rock Mechanics and Geotechnical Engineering 2024年第9期16卷 3452-3464页

作者： Minglong You Zhikai Hong Fei Tan Hao Wen Zhanrong zhang Jiahe Lv Faculty of Engineering China University of GeosciencesWuhan430074China China Railway Siyuan Survey and Design Group Co. Wuhan430063China

Identification of stratigraphic interfaces and lithology is a key aspect in geological and geotechnical *** this study,a monitoring while-drilling system was developed,along with a corresponding data pre-processing *** method can handle invalid drilling data generated during manual *** correlation between various drilling parameters was analyzed,and a database of stratigraphic interfaces and key lithology identification based on the monitoring parameters was *** average drilling speed was found to be the most suitable parameter for stratigraphic and lithology identification,and when the average drilling speed varied over a wide range,it corresponded to a stratigraphic *** average drilling speeds in sandy mudstone and sandstone strata were in the ranges of 0.1e0.2 m/min and 0.2e0.29 m/min,*** results obtained using the present method were consistent with geotechnical survey *** proposed method can be used for realtime lithology identification and represents a novel approach for intelligent geotechnical surveying.

关键词： Monitoring while-drilling Drilling parameters Geotechnical stratigraphy Lithology identification

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

Distributionally robust optimization configuration method for island microgrid considering extreme scenarios

引用

Energy and AI 2024年第3期17卷 179-194页

作者： Qingzhu zhang Yunfei Mu Hongjie Jia Xiaodan Yu Kai Hou Key Laboratory of Smart Grid of Ministry of Education Tianjin UniversityTianjin300072China Key Laboratory of Smart Energy&Information Technology of Tianjin Municipality Tianjin UniversityTianjin300072China

The marine climate conditions are intricate and variable. In scenarios characterized by high proportions of wind and solar energy access, the uncertainty regarding the energy sources for island microgrid is significantly exacerbated, presenting challenges to both the economic viability and reliability of the capacity configuration for island microgrids. To address this issue, this paper proposes a distributionally robust optimization (DRO) method for island microgrids, considering extreme scenarios of wind and solar conditions. Firstly, to address the challenge of determining the probability distribution functions of wind and solar in complex island climates, a conditional generative adversarial network (CGAN) is employed to generate a scenario set for wind and solar conditions. Then, by combining k-means clustering with an extreme scenario selection method, typical scenarios and extreme scenarios are selected from the generated scenario set, forming the scenario set for the DRO model of island microgrids. On this basis, a DRO model based on multiple discrete scenarios is constructed with the objective of minimizing the sum of investment costs, operation and maintenance costs, fuel purchase costs, penalty costs of wind and solar curtailment, and penalty costs of load loss. The model is subjected to equipment operation and power balance constraints, and solved using the columns and constraints generation (CCG) algorithm. Finally, through typical examples, the effectiveness of this paper’s method in balancing the economic viability and robustness of the configuration scheme for the island microgrid, as well as reducing wind and solar curtailment and load loss, is verified.

关键词： Island microgrid Extreme scenario Distributionally robust optimization Conditi onal generative adversarial network

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

Full-Scale Isogeometric Topology Optimization of Cellular Structures Based on Kirchhoff-Love Shells

引用

Computer Modeling in Engineering & Sciences 2024年第6期139卷 2479-2505页

作者： Mingzhe Huang Mi Xiao Liang Gao Mian Zhou Wei Sha Jinhao zhang State Key Lab of Intelligent Manufacturing Equipment and Technology Huazhong University of Science and TechnologyWuhan430074China

Cellular thin-shell structures are widely applied in ultralightweight designs due to their high bearing capacity and strength-to-weight *** this paper,a full-scale isogeometric topology optimization(ITO)method based on Kirchhoff-Love shells for designing cellular tshin-shell structures with excellent damage tolerance ability is *** method utilizes high-order continuous nonuniform rational B-splines(NURBS)as basis functions for Kirchhoff-Love shell *** geometric and analysis models of thin shells are unified by isogeometric analysis(IGA)to avoid geometric approximation error and improve computational *** topological configurations of thin-shell structures are described by constructing the effective density field on the *** volume constraints are imposed in the proximity of each control point to obtain bone-like cellular *** facilitate numerical implementation,the p-norm function is used to aggregate local volume constraints into an equivalent global *** numerical examples are provided to demonstrate the effectiveness of the proposed *** simulation and comparative analysis,the results indicate that the cellular thin-shell structures optimized by the proposed method exhibit great load-carrying behavior and high damage robustness.

关键词： Cellular thin-shell structures isogeometric analysis full-scale topology optimization Kirchhoff–Love shells

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

Combining machine and deep transfer learning for mediastinal lymph node evaluation in patients with lung cancer

引用

虚拟现实与智能硬件（中英文） 2024年第3期6卷 226-238页

作者： Hui XIE Jianfang zhang Lijuan DING Tao TAN Qing LI Department of Radiation Oncology Affiliated Hospital(Clinical College)of Xiangnan UniversityChenzhou 423000China Faulty of Applied Sciences Macao Polytechnic UniversityMacao 999078China Department of Physical examination Beihu Centers for Disease Control and PreventionChenzhou 423000China Department of Radiation Oncology the Third People's Hospital of Chenzhou CityChenzhou 423000China School of Medical Imaging Laboratory Science and RehabilitationXiangnan UniversityChenzhou 423000China

Background The prognosis and survival of patients with lung cancer are likely to deteriorate with *** deep-learning in the detection of lymph node metastasis can facilitate the noninvasive calculation of the likelihood of such metastasis,thereby providing clinicians with crucial information to enhance diagnostic precision and ultimately improve patient survival and *** In total,623 eligible patients were recruited from two medical *** deep learning models,namely Alex,GoogLeNet,Resnet18,Resnet101,Vgg16,Vgg19,and MobileNetv3(small),were utilized to extract deep image histological *** dimensionality of the extracted features was then reduced using the Spearman correlation coefficient(r≥0.9)and Least Absolute Shrinkage and Selection *** machine learning methods,namely Support Vector Machine,K-nearest neighbor,Random Forest,Extra Trees,XGBoost,LightGBM,Naive Bayes,AdaBoost,Gradient Boosting Decision Tree,Linear Regression,and Multilayer Perceptron,were employed to construct classification prediction models for the filtered final *** diagnostic performances of the models were assessed using various metrics,including accuracy,area under the receiver operating characteristic curve,sensitivity,specificity,positive predictive value,and negative predictive *** and decision-curve analyses were also *** The present study demonstrated that using deep radiomic features extracted from Vgg16,in conjunction with a prediction model constructed via a linear regression algorithm,effectively distinguished the status of mediastinal lymph nodes in patients with lung *** performance of the model was evaluated based on various metrics,including accuracy,area under the receiver operating characteristic curve,sensitivity,specificity,positive predictive value,and negative predictive value,which yielded values of 0.808,0.834,0.851,0.745,0.829,and 0.776,*** validation set of the

关键词： Machine learning Deep transfer learning Evaluation Mediastinal lymph node lung cancer patie

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

Localization and mapping algorithm based on Lidar-IMU-Camera fusion

Journal of Intelligent and Connected Vehicles

引用

Journal of Intelligent and Connected Vehicles 2024年第2期7卷 97-107页

作者： Yibing Zhao Yuhe Liang Zhenqiang Ma Lie Guo Hexin zhang School of Mechanical Engineering Dalian University of TechnologyDalian 116024China Department of the Built Environment Technology University of EindhovenEindhoven 5600MBthe Netherlands

Positioning and mapping technology is a difficult and hot topic in autonomous driving environment sensing *** a complex traffic environment,the signal of the Global Navigation Satellite System(GNSS)will be blocked,leading to inaccurate vehicle *** ensure the security of automatic electric campus vehicles,this study is based on the Lightweight and Ground-Optimized Lidar Odometry and Mapping on Variable Terrain(LEGO-LOAM)algorithm with a monocular vision system *** algorithm framework based on Lidar-IMU-Camera(Lidar means light detection and ranging)fusion was proposed.A lightweight monocular vision odometer model was used,and the LEGO-LOAM system was employed to initialize monocular *** visual odometer information was taken as the initial value of the laser *** the back-end opti9mization phase error state,the Kalman filtering fusion algorithm was employed to fuse the visual odometer and LEGO-LOAM system for *** visual word bag model was applied to perform loopback *** the test results into account,the laser radar loopback detection was further optimized,reducing the accumulated positioning *** real car experiment results showed that our algorithm could improve the mapping quality and positioning accuracy in the campus *** Lidar-IMU-Camera algorithm framework was verified on the Hong Kong city dataset *** with the LEGO-LOAM algorithm,the results show that the proposed algorithm can effectively reduce map drift,improve map resolution,and output more accurate driving trajectory information.

关键词： Lightweight and Ground-Optimized Lidar Odometry and Mapping on Variable Terrain(LEGO-LOAM) monocular vision system error state Kalman filter odometer

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

Non-destructive method of small sample sets for the maize moisture content measurement during filling based on NIRS

引用

International Journal of Agricultural and Biological Engineering 2024年第4期17卷 236-244页

作者： Tiemin Ma Guangyue zhang Xue Wang Shujuan Yi Changyuan Wang College of Information and Electrical Engineering Heilongjiang Bayi Agricultural UniversityDaqing 163319HeilongjiangChina Daqing Center of Inspection and Testing for Agricultural Products and Processed Products Ministry of Agriculture Daqing 163319HeilongjiangChina Heilongjiang Province Research Center of Ecological Rice Seedling Raising Device and Whole Course Mechanized Engineering Technology Daqing 163319HeilongjiangChina College of Engineering Heilongjiang Bayi Agricultural UniversityDaqing 163319HeilongjiangChina

In maize breeding,limitations on sampling quantity and associated costs for measuring maize grain moisture during filling are imposed by factors like the planting area of new varieties,maize plant density,effective experimental spikes,and other ***,the conventional method of detecting moisture content in maize grains is slow,damages seeds,and necessitates many sample sets,particularly for high moisture content ***,a strong demand exists for a non-destructive quantitative analysis model of maize moisture content using a small sample set during grain *** Bayes-Merged-Bootstrap(BMB)sample optimization method,which built upon the Bayes-Bootstrap sampling method and the concept of merging,was proposed.A critical concern in dealing with small samples is the relationship between data distribution,minimum sample value,and sample size,which has been thoroughly *** to the Bayes-Bootstrap sample selection method,the BMB method offers distinct advantages in the optimized selection of small samples for non-destructive *** quantitative analysis model for maize grain moisture content was established based on the support vector machine *** demonstrate that when the optimal resampling size is 1000 times or more than the original sample size using the BMB method,the model exhibits strong predictive capabilities,with a determination coefficient(R2)>0.989 and a relative prediction determination(RPD)>*** results of the 3 varieties experiment demonstrate the generality of the ***,it can be applied effectively in practical maize breeding and determining grain moisture content during maize machine harvesting.

关键词： near-infrared spectroscopy moisture content quantitative analysis small samples optimized maize grain during the filling stage

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

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：