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BIM-Based Visualization System for Settlement Warning in Multi-Purpose Utility Tunnels(MUTs) 认领 引用
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作者 Ping Wu Jie Zou +1 位作者 Wangxin Li Yidong Xu 《Structural Durability & Health Monitoring》 EI 2026年第1期283-301,共19页
The existing 2D settlement monitoring systems for utility tunnels are heavily reliant on manual interpretation of deformation data and empirical predictionmodels.Consequently,early anomalies(e.g.,minor cracks)are ofte... The existing 2D settlement monitoring systems for utility tunnels are heavily reliant on manual interpretation of deformation data and empirical predictionmodels.Consequently,early anomalies(e.g.,minor cracks)are often misjudged,and warnings lag by about 24 h without automated spatial localization.This study establishes a technical framework for requirements analysis,architectural design,and data-integration protocols.Revit parametric modelling is used to build a 3D tunnel model with structural elements,pipelines and 18 monitoring points(for displacement and joint width).Custom Revit API code integrated real-time sensor data into the BIM platform via an automated pipeline.The system achieved a spatial accuracy of±1 mm in locating deformation hotspots.Notifications are triggered within 10 s of anomaly detection,and the system renders 3D risk propagation paths in real-time.Realtime 3D visualization of risk propagation paths is also facilitated.The efficacy of the solution was validated in a Ningbo utility tunnel project,where it was demonstrated that it eliminates human-dependent judgment errors and reduces warning latency by 99.9%compared to conventional methods.The BIM-IoT integrated approach,which enables millimetre-level precision in risk identification and near-instantaneous response,establishes a new paradigm for intelligent infrastructure safety management. 展开更多
关键词 Multi-purpose utility tunnels settlement monitoring BIM-based visualization warning
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A ROOT-based detector geometry and event visualization system for JUNO-TAO 认领 引用 被引量：5
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作者 Ming-Hua Liao Kai-Xuan Huang +3 位作者 Yu-Mei Zhang Jia-Yang Xu Guo-Fu Cao Zheng-Yun You 《Nuclear Science and Techniques》 SCIE EI CAS CSCD 2025年第3期50-59,共10页
The Taishan Antineutrino Observatory(TAO)is a satellite experiment of the Jiangmen Underground Neutrino Observatory,located near the Taishan nuclear power plant(NPP).The TAO aims to measure the energy spectrum of reac... The Taishan Antineutrino Observatory(TAO)is a satellite experiment of the Jiangmen Underground Neutrino Observatory,located near the Taishan nuclear power plant(NPP).The TAO aims to measure the energy spectrum of reactor antineutrinos with unprecedented precision,which would benefit both reactor neutrino physics and the nuclear database.A detector geometry and event visualization system was developed for the TAO.The software was based on ROOT packages and embedded in the TAO offline software framework.This provided an intuitive tool for visualizing the detector geometry,tuning the reconstruction algorithm,understanding neutrino physics,and monitoring the operation of reactors at NPP.Further applications of the visualization system in the experimental operation of TAO and its future development are discussed. 展开更多
关键词 Visualization Geometry Offline software JUNO TAO
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Visualization System for Closed Thoracic Drainage Puncture Based on Augmented Reality and Ultrafine Diameter Camera 认领 引用
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作者 QIN Wei WANG Shuyi +3 位作者 CHEN Xueyu ZHUANG Yiwei SHEN Yichun SHEN Yuhan 《Journal of Shanghai Jiaotong university(Science)》 EI 2025年第3期417-424,共8页
Closed thoracic drainage can be performed using a steel-needle-guided chest tube to treat pleural effusion or pneumothorax in clinics.However,the puncture procedure during surgery is invisible,increasing the risk of s... Closed thoracic drainage can be performed using a steel-needle-guided chest tube to treat pleural effusion or pneumothorax in clinics.However,the puncture procedure during surgery is invisible,increasing the risk of surgical failure.Therefore,it is necessary to design a visualization system for closed thoracic drainage.Augmented reality(AR)technology can assist in visualizing the internal anatomical structure and determining the insertion point on the body surface.The structure of the currently used steel-needle-guided chest tube was modified by integrating it with an ultrafine diameter camera to provide real-time visualization of the puncture process.After simulation experiments,the overall registration error of the AR method was measured to be within(3.59±0.53)mm,indicating its potential for clinical application.The ultrafine diameter camera module and improved steel-needle-guided chest tube can timely reflect the position of the needle tip in the human body.A comparative experiment showed that video guidance could improve the safety of the puncture process compared to the traditional method.Finally,a qualitative evaluation of the usability of the system was conducted through a questionnaire.This system facilitates the visualization of closed thoracic drainage puncture procedure and pro-vides an implementation scheme to enhance the accuracy and safety of the operative step,which is conducive to reducing the learning curve and improving the proficiency of the doctors. 展开更多
关键词 closed thoracic drainage visualization augmented reality(AR) steel-needle-guided chest tube ultrafine diameter camera
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Real-Time Classroom Behavior Detection and Visualization System Based on an Improved YOLOv11 认领 引用 被引量：1
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作者 Jiajun Li Nannan Wang +2 位作者 Junhao Zhang Xiaozhou Yao Wei Wei 《教育技术与创新》 2025年第4期1-13,共13页
Automatic analysis of student behavior in classrooms has gained importance with the rise of smart education and vision technologies.However,the limited real-time accuracy of existing methods severely constrains their ... Automatic analysis of student behavior in classrooms has gained importance with the rise of smart education and vision technologies.However,the limited real-time accuracy of existing methods severely constrains their practical classroom deployment.To address this issue of low accuracy,we propose an improved YOLOv11-based detector that integrates CARAFE upsampling,DySnakeConv,DyHead,and SMFA fusion modules.This new model for real-time classroom behavior detection captures fine-grained student behaviors with low latency.Additionally,we have developed a visualization system that presents data through intuitive dashboards.This system enables teachers to dynamically grasp classroom engagement by tracking student participation and involvement.The enhanced YOLOv11 model achieves an mAP@0.5 of 87.2%on the evaluated datasets,surpassing baseline models.This significance lies in two aspects.First,it provides a practical technical route for deployable live classroom behavior monitoring and engagement feedback systems.Second,by integrating this proposed system,educators could make data-informed and fine-grained teaching decisions,ultimately improving instructional quality and learning outcomes. 展开更多
关键词 classroom behavior detection real-time object detection student engagement visualization dashboard AI in education
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Combining robot-assisted surgical system and 3D visualization system for teaching minimally invasive vitreoretinal surgery 认领 引用 被引量：4
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作者 Yi-Qi Chen Dan Cheng +7 位作者 Lin Zhu Wei-Qian Gao Jia-Feng Yu Jun Wang Xin-Yi Deng Ji-Wei Tao Jia Qu Li-Jun Shen 《International Journal of Ophthalmology(English edition)》 SCIE CAS 2022年第2期255-260,共6页
AIM:To investigate the feasibility of teaching minimally invasive vitreoretinal surgery with a robot-assisted surgical system and a three-dimensional(3D) visualization system.METHODS:Enucleated porcine eyes were estab... AIM:To investigate the feasibility of teaching minimally invasive vitreoretinal surgery with a robot-assisted surgical system and a three-dimensional(3D) visualization system.METHODS:Enucleated porcine eyes were established as an animal model for removing foreign bodies.Forty medical students were recruited to remove foreign bodies to compare the traditional microscope and the 3D system.One junior resident performed the surgical task with manual and robot-assisted operations on 20 porcine eyes for each group.One senior surgeon evaluated the retinal invasion by a graded injury degree.The learning curve for minimally invasive vitreoretinal surgery was described.RESULTS:Compared with the robot-assisted group,the injury degree was higher in the manual group.For the first ten surgeries,the manual and robot-assisted groups had injuries of 2.60±1.35(4 to 0) and 1.80±1.62(4 to 0),respectively.For the last ten surgeries,the injury degrees were 1.90±1.20(3 to 0) and 0.80±0.42(1 to 0).Considering the manual and robot-assisted groups together,95%,75% and 60% of the students considered surgical manipulation with the 3D visualization system to be more comfortable,easier and clearer,respectively.CONCLUSION:The robot-assisted surgical system and 3D visualization system may have value in teaching minimally invasive vitreoretinal surgery. 展开更多
关键词 vitreoretinal surgery robot-assisted surgical system three-dimensional visualization system learning curve
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Research and Application of Log Defect Detection and Visualization System Based on Dry Coupling Ultrasonic Method 认领 引用 被引量：1
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作者 Yongning Yuan Dong Zhang +4 位作者 Usama Sayed Hao Zhu Jun Wang Xiaojun Yang Zheng Wang 《Journal of Renewable Materials》 SCIE EI CAS 2023年第11期3917-3932,共16页
In order to optimize the wood internal quality detection and evaluation system and improve the comprehensive utilization rate of wood,this paper invented a set of log internal defect detection and visualization system... In order to optimize the wood internal quality detection and evaluation system and improve the comprehensive utilization rate of wood,this paper invented a set of log internal defect detection and visualization system by using the ultrasonic dry coupling agent method.The detection and visualization analysis of internal log defects were realized through log specimen test.The main conclusions show that the accuracy,reliability and practicability of the system for detecting the internal defects of log specimens have been effectively verified.The system can make the edge of the detected image smooth by interpolation algorithm,and the edge detection algorithm can be used to detect and reflect the location of internal defects of logs accurately.The content mentioned above has good application value for meeting the requirement of increasing demand for wood resources and improving the automation level of wood nondestructive testing instruments. 展开更多
关键词 Ultrasonic method log defect detection visualization system dry coupling B-scan pulse transmission method bilinear image interpolation algorithm edge detection algorithm
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Frontiers in biomolecular mesh generation and molecular visualization systems 认领 引用 被引量：3
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作者 Sheng Gui Dawar Khan +2 位作者 Qin Wang Dong-Ming Yan Ben-Zhuo Lu 《Visual Computing for Industry,Biomedicine,and Art》 EI 2018年第1期69-81,共13页
With the development of biomolecular modeling and simulation,especially implicit solvent modeling,higher requirements are set for the stability,efficiency and mesh quality of molecular mesh generation software.In this... With the development of biomolecular modeling and simulation,especially implicit solvent modeling,higher requirements are set for the stability,efficiency and mesh quality of molecular mesh generation software.In this review,we summarize the recent works in biomolecular mesh generation and molecular visualization.First,we introduce various definitions of molecular surface and corresponding meshing software.Second,as the mesh quality significantly influences biomolecular simulation,we investigate some remeshing methods in the fields of computer graphics and molecular modeling.Then,we show the application of biomolecular mesh in the boundary element method(BEM)and the finite element method(FEM).Finally,to conveniently visualize the numerical results based on the mesh,we present two types of molecular visualization systems. 展开更多
关键词 Biomolecular mesh generation Remeshing BEM FEM Molecular visualization
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Utility of real-time 3D visualization system in the early stage of phacoemulsification training 认领 引用
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作者 Zhe Xu Dan Chen +4 位作者 Jing-Wei Xu Yi-Xuan Feng Ce Shi Li Zhang Wen Xu 《International Journal of Ophthalmology(English edition)》 SCIE CAS 2024年第3期577-582,共6页
●AIM:To determine the teaching effects of a real-time three dimensional(3D)visualization system in the operating room for early-stage phacoemulsification training.●METHODS:A total of 10 ophthalmology residents of th... ●AIM:To determine the teaching effects of a real-time three dimensional(3D)visualization system in the operating room for early-stage phacoemulsification training.●METHODS:A total of 10 ophthalmology residents of the first-year postgraduate were included.All the residents were novices to cataract surgery.Real-time cataract surgical observations were performed using a custom-built 3D visualization system.The training lasted 4wk(32h)in all.A modified International Council of Ophthalmology’s Ophthalmology Surgical Competency Assessment Rubric(ICO-OSCAR)containing 4 specific steps of cataract surgery was applied.The self-assessment(self)and expert-assessment(expert)were performed through the microsurgical attempts in the wet lab for each participant.●RESULTS:Compared with pre-training assessments(self 3.2±0.8,expert 2.5±0.6),the overall mean scores of posttraining(self 5.2±0.4,expert 4.7±0.6)were significantly improved after real-time observation training of 3D visualization system(P<0.05).Scores of 4 surgical items were significantly improved both self and expert assessment after training(P<0.05).●CONCLUSION:The 3D observation training provides novice ophthalmic residents with a better understanding of intraocular microsurgical techniques.It is a useful tool to improve teaching efficiency of surgical education. 展开更多
关键词 3D visualization system phacoemulsification training wet lab
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APPLICATION OF MAP AND FILE INFORMATIONVISUALIZATION SYSTEM TO COMPREHENSIVEDIVISION OF NATURAL DISASTERS- Takingthe ChangjiangValleg as an Example 认领 引用 被引量：3
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作者 HU Bao-qing1,4, JIANG Mei-xin2, JUN Su-lan3, ZENG Qiao-song4 ( 1. Department of Geography, Guangxi Normal College, Narming 530001, P. R. China 2. Department of Resource and Environment Sciences, Jiangxi Normal University, Nanchang 3300 《Chinese Geographical Science》 SCIE 2001年第4期40-49,共10页
ABSTRACT: This paper generalizes the makeup and forming dynamic mechanism of natural disaster systems, principles and methods of comprehensive division of natural disasters, as well as structure, function and up-build... ABSTRACT: This paper generalizes the makeup and forming dynamic mechanism of natural disaster systems, principles and methods of comprehensive division of natural disasters, as well as structure, function and up-build routes of map and file information visualization system (MFIVS). Taking the Changjiang(Yangtze) Valley as an example, on the basis of revealing up the integrated mechanism on the formations of its natural disasters and its distributing law, thereafter, the paper relies on the MFIVS technique, adopts two top-down and bottom-up approaches to study a comprehensive division of natural disasters. It is relatively objective and precise that the required division results include three natural disaster sections and nine natural disaster sub-sections, which can not only provide a scientific basis for utilizing natural resources and controlling natural disaster and environmental degradation, but also be illuminated to a concise, practical and effective technique on comprehensive division. 展开更多
关键词 KEYWORDS: map and file information visualization system (MFIVS) natural disaster systems damage evaluation comprehensive division the Changjiang Valley
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TEXTINSIGHT: A NEW TEXT VISUALIZATION SYSTEM BASED ON ENTROPY AND GMAP 认领 引用
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作者 Zhang Yuanben Huang Yu +2 位作者 Fu Kun Song Jun Qi Xiang 《Journal of Electronics(China)》 2014年第5期453-464,共12页
In recent years, text visualization has been widely acknowledged as an effective approach for understanding the structure and patterns hidden in complicated textual information. In this paper, we propose a new visuali... In recent years, text visualization has been widely acknowledged as an effective approach for understanding the structure and patterns hidden in complicated textual information. In this paper, we propose a new visualization system called TextInsight with two of our contributions. Firstly, a textual entropy theory is introduced to encode the semantic importance distribution in the corpus. Based on the proposed multidimensional joint probability histogram in vector fields, the improved algorithm provides a novel way to position valuable information in massive short texts accurately. Secondly, a map-like metaphor is generated to visualize the textual topics and their relationships. For the problem of over-segmentation in the layout and clustering procedure, we propose an optimization algorithm combining Affinity Propagation(AP) and MultiDimensional Scaling(MDS), and the improved geographical representation is more comprehensible and aesthetically appealing. Our experimental results and initial user feedback suggest that this system is effective in aiding text analysis. 展开更多
关键词 Text visualization Text mining Information visualization Textual entropy GMap Affinity Propagation(AP)
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Google Earth-based dynamic visualization system for storm surge flood routing 认领 引用
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作者 Liu Donghai Wang Qian Zuo Wentao 《Engineering Sciences》 2013年第6期38-43,共6页
To describe the dynamic process of flood routing intuitively and realistically when storm surge disaster occurs,a method for ArcGIS data and Google Earth(GE) data integration is proposed,which realizes the importing a... To describe the dynamic process of flood routing intuitively and realistically when storm surge disaster occurs,a method for ArcGIS data and Google Earth(GE) data integration is proposed,which realizes the importing and integrating of basic geographic information into GE. Based on SketchUp and AutoCAD software,threedimension(3D) visualization of seawall and other tidal defense structures is achieved. By employing Microsoft Foundation Class Library(MFC),the related system modules and storm surge flood routing dynamic visualization system are developed. Therefore,dynamic visualization of flood routing process and interactive query of submerged area and inundated depth are implemented. A practical application case study of Tianjin Binhai New Area provides decision-making support for coastal seawall planning and storm surge disaster prevention and reduction. 展开更多
关键词 storm surge flood routing 3D visualization GE geographic information system
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Automated Design and Visualization System of a House Foundation from Blocks 认领 引用
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作者 Algirdas Sokas 《Journal of Civil Engineering and Architecture》 2010年第9期26-31,共6页
This article analyzes creation methods of automated design system, presents design system of a house foundation from blocks. The creation methods of automated design system of a house foundation from blocks are discov... This article analyzes creation methods of automated design system, presents design system of a house foundation from blocks. The creation methods of automated design system of a house foundation from blocks are discovered with Unified Modeling Language. Analyzed objects-classes： block, specification, model. Graphical system can design foundation, form specification of objects and create 3D model of house foundation. There are several types and different dimensions of concrete blocks. The program optimally arranges selected blocks so that monolithic parts will be minimal volume. Program selects a house foundation blocks from database by using ActiveX Data Objects technology, which by programming method connects drawing and database. Drawing＇s graphical objects have additional data from which exchange of data between graphical system and database is executed. Visualization system and example of house foundation from blocks project with specifications is presented. Creation problems of automated design system are discussed and conclusions are made. 展开更多
关键词 Object-oriented programming house foundation design Unified Modeling Language visualization system.
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First-principles calculations informing machine learning framework and visualization system for rapid and generalized gas response prediction in black phosphorus sensors 认领 引用 被引量：1
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作者 Mingyuan Wang Yaqi Zhang +6 位作者 Bowen Xiong Ke Wang Xiangzhao Zhang Jian Yang Lin Xu Guanjun Qiao Guiwu Liu 《Journal of Advanced Ceramics》 SCIE EI CAS CSCD 2026年第3期45-58,共14页
Gas sensors are vital in practical applications,yet the efficient screening of sensing materials remains a formidable challenge.Conventional trial-and-error approaches are costly,single descriptors fail to capture com... Gas sensors are vital in practical applications,yet the efficient screening of sensing materials remains a formidable challenge.Conventional trial-and-error approaches are costly,single descriptors fail to capture complex interactions,and multiparameter combinations introduce nonlinearities.To overcome these limitations,we propose a synergistic strategy that integrates firstprinciples calculations with machine learning(ML)for the rapid prediction of gas sensitivity.Using black phosphorus(BP)as a model system,we evaluated its responsiveness to 21 gases by analyzing adsorption-induced electronic and structural changes.Key descriptors extracted from these calculations were used to train six ML models.The extra tree(ET)model demonstrated exceptional robustness,achieving 96%accuracy with minimal deviation in fivefold cross-validation and top-tier performance in F1-score evaluation.Furthermore,analyses of feature importance and SHapley Additive exPlanations(SHAP)identified the adsorption energy,p-orbital center,valence band maximum,conduction band minimum,and Fermi level as the dominant descriptors.We also developed a lightweight,Python-based prediction and visualization system.By inputting only these five key features obtained from first-principles calculations,this tool enables real-time assessment of BP’s response to various gas molecules.This integrated approach demonstrated significant potential for predicting material sensing properties and offers valuable theoretical guidance for designing gas sensors. 展开更多
关键词 black phosphorus(BP) gas response first-principles calculations machine learning(ML) visualization system
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NPIPVis:A visualization system involving NBA visual analysis and integrated learning model prediction 认领 引用
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作者 Zhuo SHI Mingrui LI +3 位作者 Meng WANG Jing SHEN Wei CHEN Xiaonan LUO 《虚拟现实与智能硬件（中英文）》 EI 2022年第5期444-458,共15页
Background Data-driven event analysis has gradually become the backbone of modern competitive sports analysis. Competitive sports data analysis tasks increasingly use computer vision and machine-learning models for in... Background Data-driven event analysis has gradually become the backbone of modern competitive sports analysis. Competitive sports data analysis tasks increasingly use computer vision and machine-learning models for intelligent data analysis. Existing sports visualization systems focus on the player–team data visualization, which is not intuitive enough for team season win–loss data and game time-series data visualization and neglects the prediction of all-star players. Methods This study used an interactive visualization system designed with parallel aggregated ordered hypergraph dynamic hypergraphs, Calliope visualization data story technology,and i Storyline narrative visualization technology to visualize the regular statistics and game time data of players and teams. NPIPVis includes dynamic hypergraphs of a team’s wins and losses and game plot narrative visualization components. In addition, an integrated learning-based all-star player prediction model, SRR-voting, which starts from the existing minority and majority samples, was proposed using the synthetic minority oversampling technique and Random Under Sampler methods to generate and eliminate samples of a certain size to balance the number of allstar and average players in the datasets. Next, a random forest algorithm was introduced to extract and construct the features of players and combined with the voting integrated model to predict the all-star players, using GridSearch CV, to optimize the hyperparameters of each model in integrated learning and then combined with five-fold cross-validation to improve the generalization ability of the model. Finally, the SHapley Additive ex Planations(SHAP) model was introduced to enhance the interpretability of the model. Results The experimental results of comparing the SRR-voting model with six common models show that the accuracy, F1-score, and recall metrics are significantly improved, which verifies the effectiveness and practicality of the SRR-voting model. Conclusions This study combines data visualization and machine learning to design a National Basketball Association data visualization system to help the general audience visualize game data and predict all-star players;this can also be extended to other sports events or related fields. 展开更多
关键词 Sports visualization Parallel aggregated ordered hypergraph Calliope IStoryline Integrated learning SHAP model
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MBTIviz: A Visualization System for Research on Psycho-Demographics and Personality 认领 引用
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作者 Yutong Yang Xiaoju Dong +2 位作者 Xuefei Tian Yanling Zhang Meng Zhou 《国际计算机前沿大会会议论文集》 2023年第1期259-276,共18页
The increasing interest in exploring the correlation between personal-ity traits and real-life individual characteristics has been driven by the growing popularity of the Myers–Briggs Type Indicator(MBTI)on social me... The increasing interest in exploring the correlation between personal-ity traits and real-life individual characteristics has been driven by the growing popularity of the Myers–Briggs Type Indicator(MBTI)on social media plat-forms.To investigate this correlation,we conduct an analysis on a Myers–Briggs Type Indicator(MBTI)-demographic dataset and present MBTIviz,a visualiza-tion system that enables researchers to conduct a comprehensive and accessible analysis of the correlation between personality and demographic variables such as occupation and nationality.While humanities and computer disciplines provide valuable insights into the behavior of small groups and data analysis,analysing demographic data with personality information poses challenges due to the com-plexity of big data.Additionally,the correlation analysis table commonly used in the humanities does not offer an intuitive representation when examining the relationship between variables.To address these issues,our system provides an integrated view of statistical data that presents all demographic information in a single visual format and a more informative and visually appealing approach to presenting correlation data,facilitating further exploration of the linkages between personality traits and real-life individual characteristics.It also includes machine learning predictive views that help nonexpert users understand their personality traits and provide career predictions based on demographic data.In this paper,we utilize the MBTIviz system to analyse the MBTI-demographic dataset,calcu-lating age,gender,and occupation percentages for each MBTI and studying the correlation between MBTI,occupation,and nationality. 展开更多
关键词 Data Visualization Psychodemographic Data Myers–Briggs Type Indicators Correlation Analysis
Simulation and Implementation of Structure and Growth Visualization System of Artificial Mixed Stand 认领 引用
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作者 彭菲 张怀清 卢康宁 《Agricultural Science & Technology》 CAS 2012年第2期449-452,共4页
[Objective] The objective of this paper was to study the simulation and implementation of structure and growth visualization system of artificial mixed stand. [Method] The mixed stand structure visualization model and... [Objective] The objective of this paper was to study the simulation and implementation of structure and growth visualization system of artificial mixed stand. [Method] The mixed stand structure visualization model and growth visualization model were built on the base of the characteristics of mixed stand structure and the relationship between growth and environment; and the C# language and MOGRE graphics engine were used to establish the mixed stand structure and growth visualization system. [Result] The mixed stand structure visualization model and growth visualization model were built, as well as the mixed stand structure and growth visualization system. [Conclusion] This paper realized the visualization simulation of the mixed stand structure and growth. 展开更多
关键词 Visualization Artificial mixed stand Structure and growth
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A Network Visualization System for Anomaly Detection and Attack Tracing 认领 引用
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作者 Xin Fan Wenjie Luo +1 位作者 Xiaoju Dong Rui Su 《国际计算机前沿大会会议论文集》 EI 2018年第1期45-45,共1页
Analyzing network data is one of the important means to safeguard network security. However, how to detect anomalies and trace back the origin of attacks in the enlarging scale of network data is still a challenge now... Analyzing network data is one of the important means to safeguard network security. However, how to detect anomalies and trace back the origin of attacks in the enlarging scale of network data is still a challenge now. This paper designs and implements a network visu- alization system, which meets three main requirements： the situation awareness of the whole network, the rapid detection of anomalies, and the track of attack source. To combine multiple visualization technolo- gies reasonably, the system provides information from three levels. It also uses unsupervised learning methods to detect anomalies in different ways. Therefore, the system enhances the ability of identifying abnormal behaviors from network data. Its efficiency is tested by the usage of data in the ChinaVis 2016. 展开更多
关键词 Network security Visualization Anomaly detection
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Interactive Visualization System of Taylor Vortex Flow Using Stokes' Stream Function 认领 引用 被引量：2
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作者 Hiroyuki Furukawa 《World Journal of Mechanics》 2012年第4期188-196,共9页
Taylor vortex flow between two concentric rotating cylinders with finite axial length includes various patterns of laminar and turbulent flows, and its behavior has attracted great interests. When mode bifurcation occ... Taylor vortex flow between two concentric rotating cylinders with finite axial length includes various patterns of laminar and turbulent flows, and its behavior has attracted great interests. When mode bifurcation occurs, quantitative parameters such as the volume-averaged energy change rapidly. It is important to visualize the behaviors of vortices. In this study, a three-dimensional visualization system with respect to time is devised. This system can change the viewpoint of flow visualization, and we can observe the track of a vortex from any point. The volume-averaged energy is projected to the track of the center of a vortex. The proposed system can help to investigate the relationship between the mode bifurcation process and the volume-averaged energy. 展开更多
关键词 Taylor Vortex Flow Axisymmetric Flow Interactive Visualization System Computational Fluid Dynamics Fluid Informatics
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Two-Dimensional Medical Image 3D Visualization System’s Realization 认领 引用 被引量：1
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作者 Ai Ting Li Zhe Miao Yu 《Open Journal of Applied Sciences》 2013年第1期32-35,共4页
With the development of virtual reality application in the medical field, two-dimensional medical image of the three-dimensional visualization technology made possible. Surgery gets into minimally invasive operation m... With the development of virtual reality application in the medical field, two-dimensional medical image of the three-dimensional visualization technology made possible. Surgery gets into minimally invasive operation microscopy Era, and gradually becomes a new research hotspot. This paper studies the realization of two-dimensional medical im-age 3D reconstruction visualization system method, and the overall process and management module. Using the main technology of VTK (The Visualization Toolkit) to achieve a two-dimensional medical image three-dimensional visua-lization system, which can help the physician to obtain help clinical diagnosis Information and play an important role in treatment, accurate positioning in diseased tissue and tumor early diagnosis. 展开更多
关键词 VTK Visualization in Scientific Computing 3D Reconstruction Virtual Endoscopy
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Web-GIS Based Visualization System of Predicted Ground Vibration Induced by Blasting in Urban Quarry Sites 认领 引用
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作者 Youhei Kawamura Yoshio Moriyama Hyongdoo Jang 《Journal of Geographic Information System》 2019年第1期17-31,共15页
Blasting is routinely carried out at various resource extraction sites, even in urban areas. As a consequence of this, residents around urban quarry sites are affected by ground vibration induced by blasting on a regu... Blasting is routinely carried out at various resource extraction sites, even in urban areas. As a consequence of this, residents around urban quarry sites are affected by ground vibration induced by blasting on a regular basis. In this study, a prediction and visualization system for ground vibrations is developed for the purpose of reducing the adverse psychological effects of blasting. The system consists of predicting ground vibration using an Artificial Neural Network (ANN) and visualizing it on an online map using Web-GIS. A prediction model using ANN that learned the optimum weight by taking 50 sets of data indicated a regression value of 0.859 and a Mean Square Error (MSE) of 0.0228. Compared with previous researches, these values are not bad results. Peak Particle Velocity (PPV) was used as a metric to measure ground vibration intensity. A color contour is generated using GIS tools based on the PPV value of each prediction point. The system is completed by overlaying the contour onto a basic map in a website. The basic map shows the surrounding area through the use of Google Maps data. This system can be used by anyone with access to the internet and a browser, requiring no special software or hardware. In addition, mining operations can utilize the data to modify blasting design and planning to minimize ground vibration. In conclusion, this system has the potential to alleviate the worries of surrounding residents caused by ground vibrations from blasting due to the fact that they can personally check the predicted vibration around their locale. Furthermore, since this data will be publicly available on the internet, it is also possible that this system can contribute to research in other fields. 展开更多
关键词 ANN Prediction Model PPV Web-GIS Ground Vibration Visualization
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