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检索条件"任意字段=14th Symposium on Large Data Analysis and Visualization"

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large eddy simulation of high Reynolds number flow around a near wall cylinder

Large eddy simulation of high Reynolds number flow around a ...

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the 14th Asian symposium on visualization

作者： Hongwei An Liang Cheng Feifei Tong Guohai Dong School of Civil Environmental and Mining EngineeringThe University of Western Australia State Key Laboratory of Coastal and Offshore Engineering Dalian University of Technology

the flow around a circular cylinder is numerically simulated based on a dynamic Smagorinsky large Eddy Simulation（LES） model [1].the model was validated against published data for an isolated cylinder in the range of R=1.0 × 10～5 ~ 6.0 × 10～*** key features related to the drag crisis phenomenon [2,3] were well captured by the numerical *** the model was applied to simulate the effect of a plane wall on the flow around the *** gap distance（G） to diameter（D） ratio G/D was tested in the range of 0 ~ *** flow structures and the hydrodynamic force on the cylinder are analyzed in *** the cylinder is subject to the effect of the plane wall,the transition of the boundary layer on the cylinder is affected by the shear velocity profile in the plane wall boundary *** G/D is smaller than a certain value,strong jet flow in the gap triggers the cylinder boundary layer to transition on the gap side,at relatively lower Reynolds number compared with the isolated cylinder condition.

关键词： large eddy simulation circular cylinder boundary layer transition

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Teaching innovation results based on double helix teaching strategy and ADDIE model- Take the Big data and visualization course for example

Teaching innovation results based on double helix teaching s...

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IEEE International symposium on Information (IT) in Medicine and Education, ITME

作者： Jia Luo Mingming Li Guiyang College of Humanities and Technology&Information Engineering Guiyang China

ISBN: (数字)9798350356670

ISBN: (纸本)9798350356687

"Big data analysis and visualization" course focuses on innovative teaching concepts and content, integrating key skills of data science and ideological and political education. this course not only focuses on teaching professional knowledge of big data processing, analysis and visualization, but also emphasizes the importance of ideological and political education to cultivate students' social responsibility and ethical concepts in the field of data science. According to the teaching pain points of students' weak data thinking ability, lack of practical project training and ideological and political thinking in this course, this paper proposes to reconstruct the "internal spectrum" and "external spectrum" of course design based on the double helix teaching strategy and ADDIE teaching mode, and the teaching objectives of the course clearly show its content structure and its connection with other fields of data science. Guided by the needs of enterprise talents, with the purpose of applying what we have learned and scenario-based case teaching, we will raise our teaching objectives and thinking to a higher level. through online and offline mixed teaching, we will conduct reality training, practical projects and practical tests to create a composite, application-oriented and innovative talent training model that Adapts to the new situation and has the latest thinking and skills. through practical teaching and case studies, students' engineering practice innovation ability has been significantly improved, and they have achieved excellent results in various national and provincial data science competitions, demonstrating the remarkable effect of the course in cultivating students' synthesis ability,Cultivate data science application talents with innovative thinking and cross-border integration.

关键词： Training Technological innovation Analytical models Pain Education Employment data visualization data science Big data data models

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Computerized image processing: Applications to ERTS images and gravity, magnetic and topographic digital data

Computerized image processing: Applications to ERTS images a...

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IEEE Conference on Decision and Control

作者： L. A. Soderblom US Geological Survey National Center Flagstaff AZ USA

A computerized system for processing ERTS images for geologic applications is described. the basic philosophy of the system is to generate the highest possible quality images and to apply simple enhancement techniques optimizing images for direct human interpretation. Automated mapping, classification and analysis techniques are avoided for several reasons. First, several types of noise are present: system noise generated by the camera system, data transmission and data processing and "noise" inherent to the natural scene-cultural effects, vegetation masks and clouds and water. Second, the geologic environment itself is extremely complex. Automated interpretive techniques usually merge such noise undecipherably into the image. A major part of the processing described here is devoted to the removal of "noise" patterns, atmospheric effects, variable illumination, geometric corrections, and correction for high frequency loss. the enhancement stage is the one tailored for the specific application and scale; utilizes relatively simple algorithms; and consumes a lesser portion of the processing time. It has been found, further, that the image processing technology is ideal for handling other kinds of mappable data, such as gravity and magnetics, in which extremely large (107 - 109 bits) data sets can be treated displayed and analyzed as images. Examples include shaded relief models of "surfaces" representing geophysical data, color composites of multivariate data to examine several types as well as their intercorrelations in a single image, and the use of false stereo in which any data set (e.g., gravity) can be merged as a stereo component of the image of any other data set. the basic goal is the evoluation of techniques for the presentation of immense multivariate maps or data sets directly to the human brain, by far the most sophisticated data interpreter.

关键词： Computer applications Image processing Application software Gravity Working environment noise Noise generators Magnetosphere Geology Humans Magnetic analysis

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Target Recognition through Time-Domain Scattering Echo based on CNN

Target Recognition Through Time-Domain Scattering Echo based...

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International symposium on Antennas, Propagation and EM theory (ISAPE)

作者： Yuquan Yang Guangbin Guo Yanchun Zuo Rui Wang Wei Liu School of Physics Xidian University Xi'an China School of Electronic Physics Xidian University Xian China

ISBN: (数字)9798350353129

ISBN: (纸本)9798350353136

In this paper, based on the shooting and bouncing ray (SBR) method to obtain a large number of target time-do main scattering echo data, an electrically large-size target echo dataset is produced, and two kinds of tank targets are recognized by using the convolutional neural network (CNN) model. the results show that compared with the target recognition using optical images, the target recognition by timedomain electromagnetic scattering data is better, and the minimum recognition accuracy of CNN for similar targets is above 95%.

关键词： Image recognition Target recognition Antenna theory Optical propagation Optical computing Optical imaging data models Convolutional neural networks Optical scattering Time-domain analysis

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An interoperable data architecture for data exchange in a biomedical research network

An interoperable data architecture for data exchange in a bi...

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Annual IEEE symposium on Computer-Based Medical Systems

作者： D. Crichton H. Kincaid G.J. Downing S. Srivastava J.S. Hughes NASA Jet Propulsion Laboratory California Institute of Technology USA Fred Hutchinson Cancer Research Center USA National Institutes of Health DHHS USA National Cancer Institute USA

Knowledge discovery and data correlation require a unified approach to basic data management. However, achieving such an approach is nearly impossible with hundreds of disparate data sources, legacy systems and data formats. this problem is pervasive in the biomedical research community, where data models, taxonomies and data management systems are locally implemented. these local implementations create an environment where interoperability and collaboration between researchers and research institutions are limited. the authors demonstrate how technology developed by NASA's Jet Propulsion Laboratory (JPL) for space science can be used to build an interoperable data architecture for bioinformatics. JPL has taken a novel approach towards solving this problem by exploiting Web technologies usually dedicated to e-commerce, combined with a rich, metadata-based environment. this paper discusses the approach taken to develop a prototype data architecture for the discovery and validation of disease biomarkers within a biomedical research network. Biomarkers are measured parameters of normal biological processes, pathogenic processes or pharmacological responses to a therapeutic intervention. Biomarkers are of growing importance in biomedical research for therapeutic discovery, disease prevention and detection. A bioinformatics infrastructure is crucial to support the integration and analysis of large, complex biological and epidemiological data sets.

关键词： Space technology Biomarkers Bioinformatics Diseases Knowledge management data models Taxonomy Collaboration Propulsion Prototypes

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Hotspot and development trend of democratic education in China : CiteSpace visualization and analysis based on CNKI data

Hotspot and development trend of democratic education in Chi...

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IEEE International symposium on Information (IT) in Medicine and Education, ITME

作者： Can Xu Zuai Liu Shu Zhou Military and Political Basic Education College National University of Defense Technology Hunan China

ISBN: (数字)9798350356670

ISBN: (纸本)9798350356687

With the development of science, technology and social economy, the importance of democratic education in modern society has become more and more prominent. this paper takes the data, analysed from democratic education literature published in CNKI journals between 2009 and 2024, as the research sample. Using the Citespace tool to draw the visualization graphs of keyword co-occurrence mapping, keyword clustering, keyword co-occurrence area and outbreak words, so as to make a scientific econometric analysis of the hot spots and development trends of democratic education in China. It can be seen that the researches of democratic education in China have become more and more in-depth. In China, most of the current researches focus on the democratization of educational methods and the content of democratic thought education. However, in modern intelligent era, the research on strengthening the communication of democratic consciousness is still rare. For using big data and information technology analysis to promote the development of democratic education, this study puts forward innovative suggestions and valuable insights in the aspects of educational content, educational mode, and professional development of democratic ideology and culture. Benefiting from these, it is possible to provide new ideas for exploring the modern and innovative democratic education of Chinese style.

关键词： Training Neuroscience Education Focusing Psychology Big data Media Market research Regulation Information and communication technology

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14th International symposium on Intelligence Computation and Applications, ISICA 2023

14th International Symposium on Intelligence Computation and...

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14th International symposium on Intelligence Computation and Applications, ISICA 2023

ISBN: (纸本)9789819743926

the proceedings contain 44 papers. the special focus in this conference is on Intelligence Computation and Applications. the topics include: Research on Smart Agriculture Big data System Based on Spark and Blockchain;a Multiparty Reversible data Hiding Scheme in Encrypted Domain Based on Hybrid Encryption;packet Performance Predictor Based on Graph Isomorphism Network for Neural Architecture Search;visualization analysis of Convolutional Neural Network Processes;multimedia Information Retrieval Method Based on Semantic Similarity;Research on Intelligent Clustering Scoring of English Text Based on XGBOOST Algorithm;multi-recipient Public-Key Authenticated Encryption with Keyword Search;machine Learning-Assisted Optimization of Direction-Finding Antenna Arrays;research on the Innovative Application of Computer Aided Design in Environmental Design;key Technology and Application Research Based on Computer Internet of things;mutate Suspicious Statements to Locate Faults;petrochemical Commodity Price Prediction Model Based on Wavelet Decomposition and Bayesian Optimization;construction and Quality Evaluation of Learning Motivation Model from the Perspective of Course Ideology and Politics;Study on TNM Classification Diagnosis of Colorectal Cancer Based on Improved Self-supervised Contrast Learning;design and Application of a Teaching Evaluation Model Based on the theory of Multiple Intelligences;edible Oil Price Forecasting: A Novel Approach with Group Temporal Convolutional Network and BetaAdaptiveAdam;artificial Intelligence in Intelligent Clothing: Design and Implementation;research on the Routing Protocol Algorithm Driven by the Dedicated Frequency Points of the Internet of things to Build a Network;research on Communication Power of Cross-Cultural Short Video Based on Qualitative Comparative analysis;research on Bayberry Traceability Platform Based on Blockchain;preface.

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Interactive Model Building and visualization for Structural Equation Modeling

Interactive Model Building and Visualization for Structural ...

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the 14th Asian symposium on visualization

作者： Yosuke Onoue Yoshihiro Ashida Koji Koyamada Science for Innovation Policy Unit Center for Promotion of Interdisciplinary Education and ResearchKyoto University Undergraduate School of Electrical and Electronic Engineering Faculty of EngineeringKyoto University Academic Center for Computing and Media Studies Kyoto University

Exploring causal relationships in complex phenomena is one of the main purpose of *** equation modeling（SEM） is a statistical analysis method for validating causal relationships and latent factors among *** SEM,relationships among variables,which are composed of observed variables and latent variables,are described as a graphical *** of the graph represent variables,and edges of the graph represent the *** graph has two types of edges:unidirectional edges represent causal relationships and bidirectional edges represent *** support tools for SEM have been published;however,interactive model building and integrated visualization of model information are necessary for effective causality *** this study,we propose an interactive model building and visualization method for *** models are interactively developed by using a modeling *** information such as path coefficients,covariances,and fitness measures is visualized in the linked *** and significance of the path coefficients are visualized in the graph *** covariances are visualized by using heat map in the matrix *** fitness measures are represented in the table *** evaluate the effectiveness of the proposed visual analytics method by using real world data and user *** the user study,visual representation of the proposed method and the existing support *** the evaluation,it is confirmed that the proposed visual analytics method contributes to effectively develop valid causal models using SEM.

关键词： Visual analytics information visualization causality exploration structural equation modeling

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Velocity-Vorticity Correlation Structures(VVCS) in spatially developing compressible turbulent boundary layer

Velocity-Vorticity Correlation Structures(VVCS) in spatially...

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the 14th Asian symposium on visualization

作者： Shi-Yao Li Jun Chen State Key Laboratory for Turbulence and Complex Systems College of Engineering Peking University

A velocity-vorticity correlation structure（VVCS） analysis [1-3] is applied to the direct numerical simulation（DNS） data of compressible turbulent boundary layer（CTBL） at Mach numbers,Ma=2.25 and 6.0,in order to investigate the geometrical properties of VVCS in *** is found that the characteristics of the VVCS closely capture the streamwise physical development of the *** both Mach numbers,the maximum correlation coefficient of the VVCS presents a multi-layer structure with the same scaling laws as predicted by a recent symmetry-based theory which quantifies the sublayer,the log-layer,and the wake *** particular,the length scale of the VVCS,defined by an integral of the correlation coefficient,displays a linear relationship with the distance to the wall from y≈50 to 200,which is considered to be a proof of Townsend's attached-eddy *** is also shown that the skin friction coefficient,Cf,holds a "-1"-power law of the wall normal distance of VVCS,ys,which validates the speculation that the wall friction is determined by the near-wall coherent *** study also clarifies the correlation between statistical structures and the near-wall dynamics.

关键词： Compressible turbulent boundary layer large-scale structure coherent structure skin friction

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Extraction and visualization of Mental Features Based on Athletes' Statements

Extraction and Visualization of Mental Features Based on Ath...

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the 14th Asian symposium on visualization

作者： Koichiro Aoki Yasunori Shiono Hiroyuki Hirahara Kensei Tsuchida Graduate School of Science and Engineering Saitama University Information Technology Service Center Yokohama National University Department of Information Sciences and Arts Toyo University

Recently,there is increasing interest in mental support activities,including mental health care,counseling,and mental training in workplaces,schools,and sports *** this,psychological assessment for employees,students,and athletes who receive such mental support is becoming more *** assessments are normally conducted through questionnaires,which can evaluate object people easily and *** is also necessary,however,to acquire qualitative data through interviews in order to understand the mental states of groups and ***,interpretations of quantitative data,which are acquired through interviews,require special *** understandable and effective methods of expression are required for sharing these interpretations,that is,the understanding of mental states,with ***,this study quantitatively analyzed text data acquired through interviews,and visualized the analysis results in order to indicate the mental features of the interview subjects *** subjects were male university students belonging to a rugby ***,interviews were conducted by an experimenter,who asked subjects questions about their mental states in specific situations during rugby *** subjects' utterances were converted to text data,which were then analyzed by means of morphological analysis with the text mining tool "Tiny Text Miner".the words representing mental states were extracted among acquired morphemes,and they were classified into various categories according to their semantic *** study regarded the words belonging to an identical category as synonyms representing same ***,pairwise comparisons were carried out between these synonyms and they were weighted depending on their degree of ***,the frequency of each synonym in the interview was calculated for each *** frequency of the synonyms in each category was also calculated by multiplying the frequ

关键词： Mental Feature Interview Text Mining Fuzzy Cluster analysis Self-Organizing Maps visualization

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