In this paper,we propose a novel approach to visualizing global geographical information:a panoramic sphere in an immersive environment.The whole geographical surface can be observed through the rotating of heads as t...In this paper,we propose a novel approach to visualizing global geographical information:a panoramic sphere in an immersive environment.The whole geographical surface can be observed through the rotating of heads as the viewpoint of the panoramic sphere is inside the sphere.We compared three approaches to visualizing the earth for rendering the geographical information in a virtual reality environment.On the tasks of terrestrial and marine geographical information,we compare the visualization effects on a)a globe,b)a flat map and c)a panoramic sphere.Terrestrial geographical information tasks include the area comparison and direction determination.Marine geographical information tasks contain the visualization of sea surface temperature and sea surface currents.For terrestrial geographical information tasks,the experimental results show that the panoramic sphere outperforms the globe and the flat map,with a higher average accuracy and a shorter time.On marine geographical information task,the panoramic sphere visualization is also superior to the flat map and the globe in an immersive environment for the sea surface temperature data and the sea surface current fields.In all three visualization experiments,the panoramic sphere is most preferred by the participants,particularly for global,transcontinental and transoceanic needs.展开更多
Designing military screen (display) is not complicated in the past, the design should contains easiness of using, visibility and functionality. And it is important that contains all of the information what the system ...Designing military screen (display) is not complicated in the past, the design should contains easiness of using, visibility and functionality. And it is important that contains all of the information what the system could be gotten. Today military display design can be valued by consideration of human’s cognition model. A few information, which operators of military display could easily miss, could bring critical loss. So the military display needs the ability to help operator decide the military decision with sufficient consideration of battlefield information in a short time. The information is considerably complicated because it has many military entities and many attributes for each entities. For this reason this research contains the methodology of information organization especially for visual information. When the operator use military display, the required information should be recognized at a glance and located where the operator can place his eye easily. Therefore, the display screen should efficiently organize and effectively transfer the information. This paper specifically proposes design methodology to effectively organize and visualize the information in the display screen. The theory of information visualization in a variety of fields already exist, but it has no established theory for the origin of the display screen design. Since the theory was selected to organize the military display interface design for the display screen of the battlefield situation existing information visualization theory.展开更多
As the amount of data being collected has increased,the need for tools that can enable the visual exploration of data has also grown.This has led to the development of a variety of widely used programming frameworks f...As the amount of data being collected has increased,the need for tools that can enable the visual exploration of data has also grown.This has led to the development of a variety of widely used programming frameworks for information visualization.Unfortunately,such frameworks demand comprehensive visualization and coding skills and require users to develop visualization from scratch.An alternative is to create interactive visualization design environments that require lttle to no programming.However,these tools only supports a small portion of visual formns.We present a programmable integrated development environment(IDE),VisComposer,that supports the development of expressive visualization using a drag and-drop visual interface.Vis-Composer exposes the programmability by customizing desired components within a modular-ized visualization composition pipeline,effectively balancing the capability gap between expert coders and visualization artists.The implemented system empowers users to compose compre-bensive visualizations with real-time preview and optimization features,and supports prototyp-ing,sharing and reuse of the effects by means of an intuitive visual composer.Visual program-ming and textual programming integrated in our system allow users to compose more complex visual effects while retaining the simplicity of use.We demonstrate the performance of VisCom-poser with a variety of examples and an informal user evaluation.展开更多
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
Objective: Information visualization is the study of interactive depictions of abstract and data to strengthen the human cognition. Designing an appropriate information visualization system may be very useful techniqu...Objective: Information visualization is the study of interactive depictions of abstract and data to strengthen the human cognition. Designing an appropriate information visualization system may be very useful technique for scholars, who intent to get scientific information from digital libraries. The objective of current study was to map and visualize the key-information of dissertations in academic libraries. To achieve the aim, an information retrieval system was designed to present the interactive graphic view of dissertations’ subjects in academic. Methods: An information retrieval system was designed by information visualization toolkit that presents the related subjects of dissertations in academic libraries. In addition, the satisfaction-levels of library-users were analyzed by administrating a standard questionnaire (QUIS Questionnaire). Results: The study indicated that the designed IR system helped to provide a user-friendly environment through displaying subjective relations of dissertations, overwhelming variety of colors in displaying information. Fast and easy access to the cover-to-cover information of dissertations and user-interaction facilities are the advantages of designed IR. Analysis of data furthermore indicated that the users’ satisfaction from the system was from medium to high grade. Conclusion: Designing the IR-system revealed an excessive influence on users’ satisfaction;therefore, proposing such systems for employing in academic libraries is very suitable and its implementation is necessary.展开更多
Image sparse representation is a method of efficient compression and coding of image signal in the process of digital image processing.Image after sparse representation,to enhance the transmission efficiency of the im...Image sparse representation is a method of efficient compression and coding of image signal in the process of digital image processing.Image after sparse representation,to enhance the transmission efficiency of the image signal.Entropy of Primitive(EoP)is a statistical representation of the sparse representation of the image,which indicates the probability of each base element.Based on the EoP,this paper presents an image quality evaluation method-Difference of Visual Information Metric(DVIM).The principle of this method is to evaluate the image quality with the difference between the original image and the distorted image.The comparative experiments between DVIM&PSNR&SSIM are carried out.It was found that there was a great improvement in the image quality evaluation of geometric changes.This method is an effective image quality evaluation method,which overcomes the weakness of other quality evaluation methods for geometrically changing images to a certain extent,and is more consistent with the subjective observation of the human eye.展开更多
With the rapid development of digital and intelligent information systems, display of radar situation interface has become an important challenge in the field of human-computer interaction. We propose a method for the...With the rapid development of digital and intelligent information systems, display of radar situation interface has become an important challenge in the field of human-computer interaction. We propose a method for the optimization of radar situation interface from error-cognition through the mapping of information characteristics. A mapping method of matrix description is adopted to analyze the association properties between error-cognition sets and design information sets. Based on the mapping relationship between the domain of error-cognition and the domain of design information, a cross-correlational analysis is carried out between error-cognition and design information.We obtain the relationship matrix between the error-cognition of correlation between design information and the degree of importance among design information. Taking the task interface of a warfare navigation display as an example, error factors and the features of design information are extracted. Based on the results, we also propose an optimization design scheme for the radar situation interface.展开更多
Purpose:To reveal the research hotpots and relationship among three research hot topics in b iomedicine,namely CRISPR,iPS(induced Pluripotent Stem)cell and Synthetic biology.Design/methodology/approach:We set up their...Purpose:To reveal the research hotpots and relationship among three research hot topics in b iomedicine,namely CRISPR,iPS(induced Pluripotent Stem)cell and Synthetic biology.Design/methodology/approach:We set up their keyword co-occurrence networks with using three indicators and information visualization for metric analysis.Findings:The results reveal the main research hotspots in the three topics are different,but the overlapping keywords in the three topics indicate that they are mutually integrated and interacted each other.Research limitations:All analyses use keywords,without any other forms.Practical implications:We try to find the information distribution and structure of these three hot topics for revealing their research status and interactions,and for promoting biomedical developments.Originality/value:We chose the core keywords in three research hot topics in biomedicine by using h-index.展开更多
Objectives: To deepen our understanding of the status quo and to identify the hot topics and developmental trends of research on nursing models in countries other than China in the most recent decade.Methods: The stud...Objectives: To deepen our understanding of the status quo and to identify the hot topics and developmental trends of research on nursing models in countries other than China in the most recent decade.Methods: The study subjects were the publications retrieved from the Pub Med database using the Me SH terms of "Models, Nursing". Bibliographic item co-occurrence mining system(BICOMS) software was used for conventional bibliometric analysis of publications during two time periods, 2005e2009 and2010e2014. The number of published journal articles, journal distribution, authors of publications,country of origin of journals, and language of publications were analyzed to establish a high-frequency keyword profile and co-occurrence matrix. Graphical clustering toolkit(g CLUTO) software was applied for two-way clustering analysis and visualized analysis.Results: A total of 1472 journal articles with a key theme of nursing models were retrieved for final analysis, including 771 published during 2005e2009 and 701 during 2010e2014. The bibliometric analysis revealed that publications other than China concerning nursing models were mostly concentrated in the United States and the United Kingdom and that the number of relevant publications has been continuously decreasing. The two-way clustering analysis showed that there were mainly four types of research themes in the relevant publications in countries other than China during 2005e2009,i.e., nursing education and theoretical research, clinical nursing and psychological care, nursing administration, and models of nursing education, whereas there were five types during 2010e2014, i.e.,nursing theories and clinical nursing practice, nursing administration models and assessments of nurses' knowledge and skills, community nursing administration models, nursing human resource management,and nursing education models and approaches.Conclusions: Research on nursing models in countries other than China is relatively mature and stable with a broader view, but it has shown a declining trend in recent years. It emphasizes both theory and practice, with research content tending to be structured into four modules, i.e., nursing education,administration, clinical practice, and theoretical research. Community nursing models may become a key research direction in the international research on nursing models in the future.展开更多
Background The problem of visualizing a hierarchical dataset is an important and useful technique in many real-life situations.Folder systems,stock markets,and other hierarchical-related datasets can use this tech-niq...Background The problem of visualizing a hierarchical dataset is an important and useful technique in many real-life situations.Folder systems,stock markets,and other hierarchical-related datasets can use this tech-nique to better understand the structure and dynamic variation of the dataset.Traditional space-filling(square)-based methods have the advantages of compact space usage and node size as opposed to diagram-based methods.Space-filling-based methods have two main research directions:static and dynamic performance.Methods This study presented a treemapping method based on balanced partitioning that enables excellent aspect ratios in one variant,good temporal coherence for dynamic data in another,and in the third,a satisfactory compromise between these two aspects.To layout a treemap,all the children of a node were divided into two groups,which were then further divided until groups of single elements were reached.After this,these groups were combined to form a rectangle representing the parent node.This process was performed for each layer of the hierarchical dataset.For the first variant from the partitioning,the child elements were sorted and two groups,sized as equally as possible,were built from both big and small elements(size-balanced partition).This achieved satisfactory aspect ratios for the rec-tangles but less so temporal coherence(dynamic).For the second variant,the sequence of children was taken and from this,groups,sized as equally as possible,were created without the need for sorting(sequence-based,good compromise between aspect ratio and temporal coherency).For the third variant,the children were split into two groups of equal cardinalities,regardless of their size(number-balanced,worse aspect ratios but good temporal coherence).Results This study evaluated the aspect ratios and dynamic stability of the employed methods and proposed a new metric that measures the visual difference between rectangles during their movement to represent temporally changing inputs.Conclusion This study demonstrated that the proposed method of treemapping via balanced partitioning outperformed the state-of-the-art methods for several real-world datasets.展开更多
Visual order is one of the key factors influencing the aesthetic judgment of artworks.This paper reports the results of evaluating the influence of extracted features on visual order in Chinese ink paintings,using a r...Visual order is one of the key factors influencing the aesthetic judgment of artworks.This paper reports the results of evaluating the influence of extracted features on visual order in Chinese ink paintings,using a regression model.We use nine contemporary artists’paintings as examples and extract features related to the visual order of their paintings.A questionnaire survey is conducted to collect people’s rating scores on the visual order.Via regression modeling,our research analyzes the significance of each feature and validates the influences of the features on the visual order.展开更多
In medical research and clinical diagnosis, automated or computer-assisted classification and retrieval methods are highly desirable to offset the high cost of manual classification and manipulation by medical experts...In medical research and clinical diagnosis, automated or computer-assisted classification and retrieval methods are highly desirable to offset the high cost of manual classification and manipulation by medical experts. To facilitate the decision-making in the health-care and the related areas, in this paper, a two-step content-based medical image retrieval algorithm is proposed. Firstly, in the preprocessing step, the image segmentation is performed to distinguish image objects, and on the basis of the ...展开更多
Mixed reality offers a larger visualization space and more intuitive means of interaction for data exploration,and many works have been dedicated to combining 2D visualizations on screen with mixe reality.However,for ...Mixed reality offers a larger visualization space and more intuitive means of interaction for data exploration,and many works have been dedicated to combining 2D visualizations on screen with mixe reality.However,for each combination,we need to customize the implementation of the corresponding mixed reality 3D visualization.It is a challenge to simplify this development process and enable agile building of mixed reality 3D visualizations for 2D visualizations.In addition,many existing 2D visualizations do not provide interfaces oriented to immersive analytics,so how to extend the mixed reality 3D space from existing 2D visualizations is another challenge.This work presents an agile and flexible approach to interactively transfer visualizations from 2D screens to mixed reality 3D spaces.We designed an interactive process for spatial generation of mixed-reality 3D visualizations,defined a unified data transfer framework,integrated data deconstruction techniques for 2D visualizations,implemented interfaces to immersive visualization building tool-kits,and encapsulated these techniques into a tool named X-Space.We validated that the approach is feasible and effective through 2D visualization cases including scatter plots,stacked bar charts,and adjacency matrix.Finally,we conducted expert interviews to discuss the usability and value of the method.展开更多
While there have been a dozen of authoring systems and programming toolkits for visual design and development,users who do not have programming skills,such as data analysts or interface designers,still may feel cumber...While there have been a dozen of authoring systems and programming toolkits for visual design and development,users who do not have programming skills,such as data analysts or interface designers,still may feel cumbersome to efficiently implement a web-based visualization.In this paper,we present ECharts,an open-sourced,web-based,cross-platform framework that supports the rapid construction of interactive visualization.The motivation is driven by three goals:easy-touse,rich built-in interactions,and high performance.The kernel of ECharts is a suite of declarative visual design language that customizes built-in chart types.The underlying streaming architecture,together with a high-performance graphics renderer based on HTML5 canvas,enables the high expandability and performance of ECharts.We report the design,implementation,and applications of ECharts with a diverse variety of examples.We compare the utility and performance of ECharts with C3.js,HighCharts,and Chart.js.Results of the experiments demonstrate the efficiency and scalability of our framework.Since the first release in June 2013,ECharts has iterated 63 versions,and attracted over 22,000 star counts and over 1700 related projects in the GitHub.ECharts is regarded as a leading visualization development tool in the world,and ranks the third in the GitHub visualization tab.展开更多
In recent years,the technology and applications of visualizations on large high-resolution displays(LHDs)have received widespread attention because of its perceptual benefits and improved productivity.However,existin...In recent years,the technology and applications of visualizations on large high-resolution displays(LHDs)have received widespread attention because of its perceptual benefits and improved productivity.However,existing work on LHD visualization lacks both comprehensive guidance for design requirements and tools developed for its specific usage scenarios.In this paper,we present the scenarios,design,and implementation of DataV,a Software-as-a-Service(SaaS)visual deployment tool that enables rapid construction and cross-platform publishing of interactive visualization on LHDs.Our framework can support rich components for the high-performance rendering of multisource heterogeneous data.DataV provides a full-fledged toolchain to help the user efficiently specify layout and interactions.We present its accessibility and impressive visual effects with examples and comparison with Tableau,Power BI,VisComposer,and iVisDesigner.We also report the performance of using DataV for 3D map rendering by comparing it with deck.gl.展开更多
Deep learning algorithms increasingly support automated systems in areas such as human activity recognition and purchase recommendation.We identify a current trend in which data is transformed first into abstract visu...Deep learning algorithms increasingly support automated systems in areas such as human activity recognition and purchase recommendation.We identify a current trend in which data is transformed first into abstract visualizations and then processed by a computer vision deep learning pipeline.We call this VisuaLization As Intermediate Representation(VLAIR)and believe that it can be instrumental to support accurate recognition in a number of fields while also enhancing humans’ability to interpret deep learning models for debugging purposes or for personal use.In this paper we describe the potential advantages of this approach and explore various visualization mappings and deep learning architectures.We evaluate several VLAIR alternatives for a specific problem(human activity recognition in an apartment)and show that VLAIR attains classification accuracy above classical machine learning algorithms and several other non-image-based deep learning algorithms with several data representations.展开更多
With the increase in large-scale incidents in real life, crowd evacuation plays a pivotal role in ensuring the safety of human crowds during emergency situations. The behavior patterns of crowds are well rendered by e...With the increase in large-scale incidents in real life, crowd evacuation plays a pivotal role in ensuring the safety of human crowds during emergency situations. The behavior patterns of crowds are well rendered by existing crowd dynamics models. However, most related studies ignore the information perception of pedestrians.To overcome this issue, we develop a visual information based social force model to simulate the interpretable evacuation process from the perspective of visual perception. Numerical experiments indicate that the evacuation efficiency and decision-making ability promote rapidly within a small range with the increase in unbalanced prior knowledge. The propagation of acceleration behavior caused by emergencies is asymmetric due to the anisotropy of visual information. Therefore, this model effectively characterizes the effect of visual information on crowd evacuation and provides new insights into the information perception of individuals in complex scenarios.展开更多
Recent years have witnessed the rapid development and wide adoption of immersive head-mounted devices,such as HTC VIVE,Oculus Rift,and Microsoft HoloLens.These immersive devices have the potential to significantly ext...Recent years have witnessed the rapid development and wide adoption of immersive head-mounted devices,such as HTC VIVE,Oculus Rift,and Microsoft HoloLens.These immersive devices have the potential to significantly extend the methodology of urban visual analytics by providing critical 3D context information and creating a sense of presence.In this paper,we propose a theoretical model to characterize the visualizations in immersive urban analytics.Furthermore,based on our comprehensive and concise model,we contribute a typology of combination methods of 2D and 3D visualizations that distinguishes between linked views,embedded views,and mixed views.We also propose a supporting guideline to assist users in selecting a proper view under certain circumstances by considering visual geometry and spatial distribution of the 2D and 3D visualizations.Finally,based on existing work,possible future research opportunities are explored and discussed.展开更多
This article describes the conception and implementation of a web platform which uses special charts and maps for climate monitoring and analysis.At first it gives an overview of related web applications and their adv...This article describes the conception and implementation of a web platform which uses special charts and maps for climate monitoring and analysis.At first it gives an overview of related web applications and their advantages and limitations.This is followed by a basic introduction of current technologies and methods for working with climate data,geospatial web services and visualization techniques.Finally,the implementation based on prior defined requirements is presented and its strengths and limitations are discussed.The application provides several basic charts for climate analysis,as well as a more complex one which uses a standardized visualization concept which is suitable for comparing different local climates(Walter-LiethStandard).The charts are based on different interpolated datasets with global coverage as well as data from the Global Historical Climate Network(GHCN).Overall,the application enables users to generate individual historical climate charts from the beginning of the twentieth century until present day.展开更多
基金This research was funded by the Science and Technology Innovation Project for Laoshan Laboratory(No.LSKJ202204303)the National Natural Science Foundation of China(No.42030406)+1 种基金the Fundamental Research Funds for the Central Universities(No.202261006)the ESANRSCC Scientific Cooperation Project on Earth Observation Science and Applications:Dragon 5(No.58393).
文摘In this paper,we propose a novel approach to visualizing global geographical information:a panoramic sphere in an immersive environment.The whole geographical surface can be observed through the rotating of heads as the viewpoint of the panoramic sphere is inside the sphere.We compared three approaches to visualizing the earth for rendering the geographical information in a virtual reality environment.On the tasks of terrestrial and marine geographical information,we compare the visualization effects on a)a globe,b)a flat map and c)a panoramic sphere.Terrestrial geographical information tasks include the area comparison and direction determination.Marine geographical information tasks contain the visualization of sea surface temperature and sea surface currents.For terrestrial geographical information tasks,the experimental results show that the panoramic sphere outperforms the globe and the flat map,with a higher average accuracy and a shorter time.On marine geographical information task,the panoramic sphere visualization is also superior to the flat map and the globe in an immersive environment for the sea surface temperature data and the sea surface current fields.In all three visualization experiments,the panoramic sphere is most preferred by the participants,particularly for global,transcontinental and transoceanic needs.
文摘Designing military screen (display) is not complicated in the past, the design should contains easiness of using, visibility and functionality. And it is important that contains all of the information what the system could be gotten. Today military display design can be valued by consideration of human’s cognition model. A few information, which operators of military display could easily miss, could bring critical loss. So the military display needs the ability to help operator decide the military decision with sufficient consideration of battlefield information in a short time. The information is considerably complicated because it has many military entities and many attributes for each entities. For this reason this research contains the methodology of information organization especially for visual information. When the operator use military display, the required information should be recognized at a glance and located where the operator can place his eye easily. Therefore, the display screen should efficiently organize and effectively transfer the information. This paper specifically proposes design methodology to effectively organize and visualize the information in the display screen. The theory of information visualization in a variety of fields already exist, but it has no established theory for the origin of the display screen design. Since the theory was selected to organize the military display interface design for the display screen of the battlefield situation existing information visualization theory.
基金This work is supported by National 973 Program of China(2015CB352503)National Natural Science Foundation of China(61772456,U1609217).
文摘As the amount of data being collected has increased,the need for tools that can enable the visual exploration of data has also grown.This has led to the development of a variety of widely used programming frameworks for information visualization.Unfortunately,such frameworks demand comprehensive visualization and coding skills and require users to develop visualization from scratch.An alternative is to create interactive visualization design environments that require lttle to no programming.However,these tools only supports a small portion of visual formns.We present a programmable integrated development environment(IDE),VisComposer,that supports the development of expressive visualization using a drag and-drop visual interface.Vis-Composer exposes the programmability by customizing desired components within a modular-ized visualization composition pipeline,effectively balancing the capability gap between expert coders and visualization artists.The implemented system empowers users to compose compre-bensive visualizations with real-time preview and optimization features,and supports prototyp-ing,sharing and reuse of the effects by means of an intuitive visual composer.Visual program-ming and textual programming integrated in our system allow users to compose more complex visual effects while retaining the simplicity of use.We demonstrate the performance of VisCom-poser with a variety of examples and an informal user evaluation.
基金Supported by the National High Technology Research and Development Program of China(863 Program)(No.2013AA7013033)
文摘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.
文摘Objective: Information visualization is the study of interactive depictions of abstract and data to strengthen the human cognition. Designing an appropriate information visualization system may be very useful technique for scholars, who intent to get scientific information from digital libraries. The objective of current study was to map and visualize the key-information of dissertations in academic libraries. To achieve the aim, an information retrieval system was designed to present the interactive graphic view of dissertations’ subjects in academic. Methods: An information retrieval system was designed by information visualization toolkit that presents the related subjects of dissertations in academic libraries. In addition, the satisfaction-levels of library-users were analyzed by administrating a standard questionnaire (QUIS Questionnaire). Results: The study indicated that the designed IR system helped to provide a user-friendly environment through displaying subjective relations of dissertations, overwhelming variety of colors in displaying information. Fast and easy access to the cover-to-cover information of dissertations and user-interaction facilities are the advantages of designed IR. Analysis of data furthermore indicated that the users’ satisfaction from the system was from medium to high grade. Conclusion: Designing the IR-system revealed an excessive influence on users’ satisfaction;therefore, proposing such systems for employing in academic libraries is very suitable and its implementation is necessary.
基金This research was financially supported by Guangdong Provincial Department of Education major scientific innovation project characteristics(natural sciences)No.2014KTSCX210Also it was supported by Youth Program No.GKY-2016KYQN-3 and NO.GKY-2017KYQN-1College Students Innovation Training Program No.1611007 of Guangdong University of Science and Technology.
文摘Image sparse representation is a method of efficient compression and coding of image signal in the process of digital image processing.Image after sparse representation,to enhance the transmission efficiency of the image signal.Entropy of Primitive(EoP)is a statistical representation of the sparse representation of the image,which indicates the probability of each base element.Based on the EoP,this paper presents an image quality evaluation method-Difference of Visual Information Metric(DVIM).The principle of this method is to evaluate the image quality with the difference between the original image and the distorted image.The comparative experiments between DVIM&PSNR&SSIM are carried out.It was found that there was a great improvement in the image quality evaluation of geometric changes.This method is an effective image quality evaluation method,which overcomes the weakness of other quality evaluation methods for geometrically changing images to a certain extent,and is more consistent with the subjective observation of the human eye.
基金supported by Jiangsu Province Nature Science Foundation of China (BK20221490)the Key Fundamental Research Funds for the Central Universities (30920041114)+2 种基金the National Natural Science Foundation of China (52175469,71601068)the Key Research and Development (Social Development) Project of Jiangsu Province(BE2019647)Jiangsu Province Social Science Foundation of China (20YSB013)。
文摘With the rapid development of digital and intelligent information systems, display of radar situation interface has become an important challenge in the field of human-computer interaction. We propose a method for the optimization of radar situation interface from error-cognition through the mapping of information characteristics. A mapping method of matrix description is adopted to analyze the association properties between error-cognition sets and design information sets. Based on the mapping relationship between the domain of error-cognition and the domain of design information, a cross-correlational analysis is carried out between error-cognition and design information.We obtain the relationship matrix between the error-cognition of correlation between design information and the degree of importance among design information. Taking the task interface of a warfare navigation display as an example, error factors and the features of design information are extracted. Based on the results, we also propose an optimization design scheme for the radar situation interface.
基金the National Natural Science Foundation of China Grant 71673131 for financial support
文摘Purpose:To reveal the research hotpots and relationship among three research hot topics in b iomedicine,namely CRISPR,iPS(induced Pluripotent Stem)cell and Synthetic biology.Design/methodology/approach:We set up their keyword co-occurrence networks with using three indicators and information visualization for metric analysis.Findings:The results reveal the main research hotspots in the three topics are different,but the overlapping keywords in the three topics indicate that they are mutually integrated and interacted each other.Research limitations:All analyses use keywords,without any other forms.Practical implications:We try to find the information distribution and structure of these three hot topics for revealing their research status and interactions,and for promoting biomedical developments.Originality/value:We chose the core keywords in three research hot topics in biomedicine by using h-index.
基金supported by Shanxi Provincial Health Department(No.201201031)
文摘Objectives: To deepen our understanding of the status quo and to identify the hot topics and developmental trends of research on nursing models in countries other than China in the most recent decade.Methods: The study subjects were the publications retrieved from the Pub Med database using the Me SH terms of "Models, Nursing". Bibliographic item co-occurrence mining system(BICOMS) software was used for conventional bibliometric analysis of publications during two time periods, 2005e2009 and2010e2014. The number of published journal articles, journal distribution, authors of publications,country of origin of journals, and language of publications were analyzed to establish a high-frequency keyword profile and co-occurrence matrix. Graphical clustering toolkit(g CLUTO) software was applied for two-way clustering analysis and visualized analysis.Results: A total of 1472 journal articles with a key theme of nursing models were retrieved for final analysis, including 771 published during 2005e2009 and 701 during 2010e2014. The bibliometric analysis revealed that publications other than China concerning nursing models were mostly concentrated in the United States and the United Kingdom and that the number of relevant publications has been continuously decreasing. The two-way clustering analysis showed that there were mainly four types of research themes in the relevant publications in countries other than China during 2005e2009,i.e., nursing education and theoretical research, clinical nursing and psychological care, nursing administration, and models of nursing education, whereas there were five types during 2010e2014, i.e.,nursing theories and clinical nursing practice, nursing administration models and assessments of nurses' knowledge and skills, community nursing administration models, nursing human resource management,and nursing education models and approaches.Conclusions: Research on nursing models in countries other than China is relatively mature and stable with a broader view, but it has shown a declining trend in recent years. It emphasizes both theory and practice, with research content tending to be structured into four modules, i.e., nursing education,administration, clinical practice, and theoretical research. Community nursing models may become a key research direction in the international research on nursing models in the future.
文摘Background The problem of visualizing a hierarchical dataset is an important and useful technique in many real-life situations.Folder systems,stock markets,and other hierarchical-related datasets can use this tech-nique to better understand the structure and dynamic variation of the dataset.Traditional space-filling(square)-based methods have the advantages of compact space usage and node size as opposed to diagram-based methods.Space-filling-based methods have two main research directions:static and dynamic performance.Methods This study presented a treemapping method based on balanced partitioning that enables excellent aspect ratios in one variant,good temporal coherence for dynamic data in another,and in the third,a satisfactory compromise between these two aspects.To layout a treemap,all the children of a node were divided into two groups,which were then further divided until groups of single elements were reached.After this,these groups were combined to form a rectangle representing the parent node.This process was performed for each layer of the hierarchical dataset.For the first variant from the partitioning,the child elements were sorted and two groups,sized as equally as possible,were built from both big and small elements(size-balanced partition).This achieved satisfactory aspect ratios for the rec-tangles but less so temporal coherence(dynamic).For the second variant,the sequence of children was taken and from this,groups,sized as equally as possible,were created without the need for sorting(sequence-based,good compromise between aspect ratio and temporal coherency).For the third variant,the children were split into two groups of equal cardinalities,regardless of their size(number-balanced,worse aspect ratios but good temporal coherence).Results This study evaluated the aspect ratios and dynamic stability of the employed methods and proposed a new metric that measures the visual difference between rectangles during their movement to represent temporally changing inputs.Conclusion This study demonstrated that the proposed method of treemapping via balanced partitioning outperformed the state-of-the-art methods for several real-world datasets.
文摘Visual order is one of the key factors influencing the aesthetic judgment of artworks.This paper reports the results of evaluating the influence of extracted features on visual order in Chinese ink paintings,using a regression model.We use nine contemporary artists’paintings as examples and extract features related to the visual order of their paintings.A questionnaire survey is conducted to collect people’s rating scores on the visual order.Via regression modeling,our research analyzes the significance of each feature and validates the influences of the features on the visual order.
文摘In medical research and clinical diagnosis, automated or computer-assisted classification and retrieval methods are highly desirable to offset the high cost of manual classification and manipulation by medical experts. To facilitate the decision-making in the health-care and the related areas, in this paper, a two-step content-based medical image retrieval algorithm is proposed. Firstly, in the preprocessing step, the image segmentation is performed to distinguish image objects, and on the basis of the ...
基金supported by the National Natural Science Foundation of China(61702042).
文摘Mixed reality offers a larger visualization space and more intuitive means of interaction for data exploration,and many works have been dedicated to combining 2D visualizations on screen with mixe reality.However,for each combination,we need to customize the implementation of the corresponding mixed reality 3D visualization.It is a challenge to simplify this development process and enable agile building of mixed reality 3D visualizations for 2D visualizations.In addition,many existing 2D visualizations do not provide interfaces oriented to immersive analytics,so how to extend the mixed reality 3D space from existing 2D visualizations is another challenge.This work presents an agile and flexible approach to interactively transfer visualizations from 2D screens to mixed reality 3D spaces.We designed an interactive process for spatial generation of mixed-reality 3D visualizations,defined a unified data transfer framework,integrated data deconstruction techniques for 2D visualizations,implemented interfaces to immersive visualization building tool-kits,and encapsulated these techniques into a tool named X-Space.We validated that the approach is feasible and effective through 2D visualization cases including scatter plots,stacked bar charts,and adjacency matrix.Finally,we conducted expert interviews to discuss the usability and value of the method.
基金Wei Chen is supported by National 973 Program of China(2015CB352503)National Natural Science Foundation of China(61772456,61761136020).
文摘While there have been a dozen of authoring systems and programming toolkits for visual design and development,users who do not have programming skills,such as data analysts or interface designers,still may feel cumbersome to efficiently implement a web-based visualization.In this paper,we present ECharts,an open-sourced,web-based,cross-platform framework that supports the rapid construction of interactive visualization.The motivation is driven by three goals:easy-touse,rich built-in interactions,and high performance.The kernel of ECharts is a suite of declarative visual design language that customizes built-in chart types.The underlying streaming architecture,together with a high-performance graphics renderer based on HTML5 canvas,enables the high expandability and performance of ECharts.We report the design,implementation,and applications of ECharts with a diverse variety of examples.We compare the utility and performance of ECharts with C3.js,HighCharts,and Chart.js.Results of the experiments demonstrate the efficiency and scalability of our framework.Since the first release in June 2013,ECharts has iterated 63 versions,and attracted over 22,000 star counts and over 1700 related projects in the GitHub.ECharts is regarded as a leading visualization development tool in the world,and ranks the third in the GitHub visualization tab.
基金National Natural Science Foundation of China(61772456,61761136020)。
文摘In recent years,the technology and applications of visualizations on large high-resolution displays(LHDs)have received widespread attention because of its perceptual benefits and improved productivity.However,existing work on LHD visualization lacks both comprehensive guidance for design requirements and tools developed for its specific usage scenarios.In this paper,we present the scenarios,design,and implementation of DataV,a Software-as-a-Service(SaaS)visual deployment tool that enables rapid construction and cross-platform publishing of interactive visualization on LHDs.Our framework can support rich components for the high-performance rendering of multisource heterogeneous data.DataV provides a full-fledged toolchain to help the user efficiently specify layout and interactions.We present its accessibility and impressive visual effects with examples and comparison with Tableau,Power BI,VisComposer,and iVisDesigner.We also report the performance of using DataV for 3D map rendering by comparing it with deck.gl.
文摘Deep learning algorithms increasingly support automated systems in areas such as human activity recognition and purchase recommendation.We identify a current trend in which data is transformed first into abstract visualizations and then processed by a computer vision deep learning pipeline.We call this VisuaLization As Intermediate Representation(VLAIR)and believe that it can be instrumental to support accurate recognition in a number of fields while also enhancing humans’ability to interpret deep learning models for debugging purposes or for personal use.In this paper we describe the potential advantages of this approach and explore various visualization mappings and deep learning architectures.We evaluate several VLAIR alternatives for a specific problem(human activity recognition in an apartment)and show that VLAIR attains classification accuracy above classical machine learning algorithms and several other non-image-based deep learning algorithms with several data representations.
基金supported by the National Key Research and Development Program of China (No. 2020YFF0304900)the National Major Scientific Research Instrument Development Project of China (No. 61927804)。
文摘With the increase in large-scale incidents in real life, crowd evacuation plays a pivotal role in ensuring the safety of human crowds during emergency situations. The behavior patterns of crowds are well rendered by existing crowd dynamics models. However, most related studies ignore the information perception of pedestrians.To overcome this issue, we develop a visual information based social force model to simulate the interpretable evacuation process from the perspective of visual perception. Numerical experiments indicate that the evacuation efficiency and decision-making ability promote rapidly within a small range with the increase in unbalanced prior knowledge. The propagation of acceleration behavior caused by emergencies is asymmetric due to the anisotropy of visual information. Therefore, this model effectively characterizes the effect of visual information on crowd evacuation and provides new insights into the information perception of individuals in complex scenarios.
基金The work was supported by National 973 Program of China(2015CB352503)National Natural Science Foundation of China(61772456,U1609217)+5 种基金NSFC-Zhejiang Joint Fund for the Integration of Industrialization and Informatization(U1609217)NSFC(61502416)Zhejiang Provincial Natural Science Foundation(LR18F020001)the Fundamental Research Funds for Central Universities(2016QNA5014)the research fund of the Ministry of Education of China(188170-170160502)the 100 Talents Program of Zhejiang University.This project is also partially funded by Microsoft Research Asia.
文摘Recent years have witnessed the rapid development and wide adoption of immersive head-mounted devices,such as HTC VIVE,Oculus Rift,and Microsoft HoloLens.These immersive devices have the potential to significantly extend the methodology of urban visual analytics by providing critical 3D context information and creating a sense of presence.In this paper,we propose a theoretical model to characterize the visualizations in immersive urban analytics.Furthermore,based on our comprehensive and concise model,we contribute a typology of combination methods of 2D and 3D visualizations that distinguishes between linked views,embedded views,and mixed views.We also propose a supporting guideline to assist users in selecting a proper view under certain circumstances by considering visual geometry and spatial distribution of the 2D and 3D visualizations.Finally,based on existing work,possible future research opportunities are explored and discussed.
文摘This article describes the conception and implementation of a web platform which uses special charts and maps for climate monitoring and analysis.At first it gives an overview of related web applications and their advantages and limitations.This is followed by a basic introduction of current technologies and methods for working with climate data,geospatial web services and visualization techniques.Finally,the implementation based on prior defined requirements is presented and its strengths and limitations are discussed.The application provides several basic charts for climate analysis,as well as a more complex one which uses a standardized visualization concept which is suitable for comparing different local climates(Walter-LiethStandard).The charts are based on different interpolated datasets with global coverage as well as data from the Global Historical Climate Network(GHCN).Overall,the application enables users to generate individual historical climate charts from the beginning of the twentieth century until present day.
