Traffic flow prediction is very important for real time information of travelers and dynamic route guidance system. In the past, various methodologies have been developed for traffic flow prediction. However, most of ...
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ISBN:
(纸本)9781424413959
Traffic flow prediction is very important for real time information of travelers and dynamic route guidance system. In the past, various methodologies have been developed for traffic flow prediction. However, most of existing methods for the formulation of traffic flow are complex. In this paper, using a 2-D histogram projection method, a temporal-spatial traffic flow data is first reduced to a 2-D scatter plot and a 2-D Gaussian Mixture Modeling (GMM) is then used to estimate the traffic flow. This study shows that the traffic flow data can be simply represented by a linear combination of multiple Gaussian functions which demonstrates a good visualization of the temporal-spatial traffic flow data.
Results of planetary mapping are often shared openly for use in scientific research and mission planning. In its raw format, however, the data is not accessible to non-experts due to the difficulty in grasping the con...
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Results of planetary mapping are often shared openly for use in scientific research and mission planning. In its raw format, however, the data is not accessible to non-experts due to the difficulty in grasping the context and the intricate acquisition process. We present work on tailoring and integration of multiple data processing and visualization methods to interactively contextualize geospatial surface data of celestial bodies for use in science communication. As our approach handles dynamic data sources, streamed from online repositories, we are significantly shortening the time between discovery and dissemination of data and results. We describe the image acquisition pipeline, the pre-processing steps to derive a 2.5D terrain, and a chunked level-of-detail, out-of-core rendering approach to enable interactive exploration of global maps and high-resolution digital terrain models. The results are demonstrated for three different celestial bodies. The first case addresses high-resolution map data on the surface of Mars. A second case is showing dynamic processes. such as concurrent weather conditions on Earth that require temporal datasets. As a final example we use data from the New Horizons spacecraft which acquired images during a single flyby of Pluto. We visualize the acquisition process as well as the resulting surface data. Our work has been implemented in the OpenSpace software [8], which enables interactive presentations in a range of environments such as immersive dome theaters. interactive touch tables. and virtual reality headsets.
Current 31) product information pages are believed to enrich the online shopping experience since it provides a more immersive experience. However, existing solutions still retain the 2D UI elements in the product inf...
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ISBN:
(纸本)9798350348392
Current 31) product information pages are believed to enrich the online shopping experience since it provides a more immersive experience. However, existing solutions still retain the 2D UI elements in the product information presentation design, preventing users from fully immersing themselves in the virtual environment and further degrading the shopping experience. In order to evaluate the user experience of 3D product information in XR shopping applications, we first construct a design space based on previous design cases of product information presentation in virtual environments and produce nine new solutions by combining elements in the design space.
with the development of parallel technology and application, the performance analysis and visualization of parallel computing is one of the most important parts. This paper presents a parallel computing performance vi...
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ISBN:
(纸本)9781424458479
with the development of parallel technology and application, the performance analysis and visualization of parallel computing is one of the most important parts. This paper presents a parallel computing performance visualization system which is developed to visualize and analyze the speedup and efficiency of parallel computing. We visualize and analyze the results of magnetotelluric parallel forward modeling program based on MPI which used finite element method. It succeeds in collecting the data of program execution time and communication time, visualizing and analyzing the speedup and efficiency.
The mesh network has propagated rapidly, because of the Internet. All over the world, many people cannot use the Internet, because the Internet cable is not installed. So many mesh network communities try to set up th...
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ISBN:
(纸本)9781509051243
The mesh network has propagated rapidly, because of the Internet. All over the world, many people cannot use the Internet, because the Internet cable is not installed. So many mesh network communities try to set up the mesh network nodes and manage it. By its effort, there are more than 50 thousand mesh nodes in the world. However, there are no enough people who can make the mesh network and can manage it. By this reason, we develop open source GOTHAM. It has three main part. There are "Self-Organizing", "visualization" and "Content-Centric". G.O.T.H.A.M is designed for people who don't know the network. So, it focuses simplicity, familiarity and automaticity. In this paper we explain original G.O.T.H.A.M and new G.O.T.H.A.M with Hazelcast including three functions. And also, we describe the program which runs with GOTHAM. All of the software in this paper is available on Github.
This paper deals with problems of visualization of dynamic phenomena. An effort to develop new visualization schemes has been described. The main idea is to extend approaches used in the case of visualization of pheno...
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ISBN:
(纸本)0780381319
This paper deals with problems of visualization of dynamic phenomena. An effort to develop new visualization schemes has been described. The main idea is to extend approaches used in the case of visualization of phenomena of static nature into an environment where dynamic phenomena are investigated and visualized. We introduced die "level of detail" approach in time scaling in the environment of dynamic processes where time plays a primary role. In the case of visualization of dynamic phenomena the users are looking for specific dynamic patterns that should help them to understand in a better way the nature of dynamic processes under investigation. A new approach that should meet these requirements has been developed. This approach has been verified by means of two systems used for simulation and visualization of technological processes that are of a dynamic nature.
Static analysis results can be overwhelming depending on their complexity and the total number of results. Interactive graph visualization can help engineers explore the connections between different code entities whi...
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ISBN:
(纸本)9781665412193
Static analysis results can be overwhelming depending on their complexity and the total number of results. Interactive graph visualization can help engineers explore the connections between different code entities while visually supporting insights about the code's behaviour. In our doctoral research, we aim to investigate how a graphical model of a program and its analysis results can support the engineer's understanding. We expect that a graphical interface can ease the diagnose of faults and reduce the cognitive load required to comprehend reported control and data flows present in the codebase.
Effective data visualization theory and technique as applied to network security data can provide efficient and meaningful insight to massive, obtuse sets of data otherwise imperceptible to network security analysts. ...
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ISBN:
(纸本)9781538661338
Effective data visualization theory and technique as applied to network security data can provide efficient and meaningful insight to massive, obtuse sets of data otherwise imperceptible to network security analysts. Given this potential impact, interest in understanding insightful data visualization in cybersecurity continues to gain momentum and draw researchers to this domain. In this paper, the authors present an overview of research in visual data analysis as applied to cybersecurity, including a discussion of challenges related specifically to visualization in network security, a synthesis of visualization techniques, and a brief conversation and critique of specific visualizations utilized in modern tools. In conclusion, the authors present a brief and open-ended proposal for further development of a flexible data visualization project to integrate these findings into a product to illustrate the power of effective data visualization to network security data.
We present a new algorithm to explore and visualize multivariate time-varying data sets. We identify important trend relationships among the variables based on how the values of the variables change over time and how ...
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We present a new algorithm to explore and visualize multivariate time-varying data sets. We identify important trend relationships among the variables based on how the values of the variables change over time and how those changes are related to each other in different spatial regions and time intervals. The trend relationships can be used to describe the correlation and causal effects among the different variables. To identify the temporal trends from a local region, we design a new algorithm called SUBDTW to estimate when a trend appears and vanishes in a given time series. Based on the beginning and ending times of the trends, their temporal relationships can be modeled as a state machine representing the trend sequence. Since a scientific data set usually contains millions of data points, we propose an algorithm to extract important trend relationships in linear time complexity. We design novel user interfaces to explore the trend relationships, to visualize their temporal characteristics, and to display their spatial distributions. We use several scientific data sets to test our algorithm and demonstrate its utilities.
With the increasingly severe cyberspace security situation, situational awareness has become a focus in the field of Cyberspace Security. The effect of situational awareness decision-making depends on the breadth and ...
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ISBN:
(纸本)9781665418935
With the increasingly severe cyberspace security situation, situational awareness has become a focus in the field of Cyberspace Security. The effect of situational awareness decision-making depends on the breadth and depth of data, the rationality of data processing, and the clarity and intuition of the presentation method. This paper designs a situational awareness platform, introduces vulnerability identification and fusion, situational awareness and data visualization. In particular, the data fusion method of online and offline multi-source vulnerability is proposed to enrich the data sources, and the soft splicing technology of display arrays is used to improve the visual compatibility under high resolution. In this paper, the data processing method is continuously optimized through experiments, which improves the overall processing efficiency and prediction accuracy of the platform.
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