Mobile ad-hoc networks (MANETs) are autonomous distributed networks, where mobile nodes communicate with each other using wireless links. Since the communication is done by wireless links, it is difficult to grasp how...
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Nowadays, the amount of information spread over networks is extremely large, and many sensible data are granted by legitimate owners aiming to exploit different networking services. In particular, the majority of peop...
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ISBN:
(纸本)9781728128382
Nowadays, the amount of information spread over networks is extremely large, and many sensible data are granted by legitimate owners aiming to exploit different networking services. In particular, the majority of people give their own consent for processing personal data without understanding how network providers will manage them, and if they will be shared among different network providers. In this paper, we propose a tool exploiting visualization techniques in order to make a user aware of how his/her personal data are exchanged and shared during daily web browsing activities. In particular, the proposed tool enables a user to interactively visualize the communication flows during the aforesaid browsing process, and to discover possibly hidden network providers involved in it. Moreover, the graphical interface also provides real-time summary graphs, which show the amount of information acquired from the network. Finally, we performed several users studies aiming to analyse how the tool can improve the user's perception on the privacy issues that s/he is exposed to. Results demonstrate the effectiveness of the proposed tool.
Augmented reality see-through applications rely mostly on machine learning models to detect and localize occluded objects. In this case, the user is usually presented the result with the highest probability without ta...
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ISBN:
(纸本)9781665457255
Augmented reality see-through applications rely mostly on machine learning models to detect and localize occluded objects. In this case, the user is usually presented the result with the highest probability without taking into account the uncertainty of the model. However, the uncertainty plays a vital role when considering applications where a critical decision-making process relies heavily on the predictions of the model, such as in the case where occluded cars are shown to a driver. In this work, we conduct an investigation of the effects of communicating the uncertainty of machine learning models to users in AR-based see-through applications. Through a controlled user study, we compare three visualization modes: no visualization, most probable output, and probability distribution. The results of our evaluation reveal that when considering the visualizations, each of them lead to comparable results in terms of speed and accuracy of the decision-making process. A relevant finding is that participants considered uncertainty as a substantial part of the output of machine learning models and needs to be delivered with the results. An additional important conclusion is that the preference of users over a specific visualization is strongly dependent on the particular use case.
Honeypots and honeynets are unconventional security tools to study techniques, methods, tools, and goals of attackers. Analysis of data collected by these security tools is important for network security. In this pape...
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ISBN:
(纸本)9781479985692
Honeypots and honeynets are unconventional security tools to study techniques, methods, tools, and goals of attackers. Analysis of data collected by these security tools is important for network security. In this paper, authors focus on time-oriented data as well as they outline visualization of this kind of data in honeypots and honeynets. Authors also provide results from honeynet based on special visualization - heatmaps.
Because of the fast increasing number of movies and long time span each movie lasts, novel methods should be developed to help users browse movies and find their desired clips effectively. Affective information in mov...
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ISBN:
(纸本)9781424456536
Because of the fast increasing number of movies and long time span each movie lasts, novel methods should be developed to help users browse movies and find their desired clips effectively. Affective information in movies is closely related with users' experiences and preferences. Therefore, in this paper, we analyze the affective states of movies and propose affective information based movie browsing. Affective movie content analysis is challenging due to the great variety of movie contents and styles. To address this challenge, we first extract rich audio-visual features. Then, feature selection and affective modeling are carried out to select and map effective features into corresponding affective states. Finally, we propose novel Affective visualization techniques which intuitively visualize affective states to achieve efficient and user-friendly movie browsing. Experiments on representative movie dataset demonstrate the effectiveness of our proposed methods.
This study focuses on the visualization and simulation of graphics algorithms based on OpenGL, aiming to intuitively demonstrating the principles and effects of these algorithms through a constructed simulation platfo...
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Graph drawing with spring embedders employs a V x V computation phase over the graph's vertex set to compute repulsive forces. Here, the efficacy of forces diminishes with distance: a vertex can effectively only i...
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ISBN:
(纸本)9781728180144
Graph drawing with spring embedders employs a V x V computation phase over the graph's vertex set to compute repulsive forces. Here, the efficacy of forces diminishes with distance: a vertex can effectively only influence other vertices in a certain radius around its position. Therefore, the algorithm lends itself to an implementation using search data structures to reduce the runtime complexity. NVIDIA RT cores implement hierarchical tree traversal in hardware. We show how to map the problem of finding graph layouts with force-directed methods to a ray tracing problem that can subsequently be implemented with dedicated ray tracing hardware. With that, we observe speedups of 4 x to 13 x over a CUDA software implementation.
SAS (R) Visual Analytics Explorer is an advanced data visualization and exploratory data analysis application that is a component of the SAS Visual Analytics solution. It excels at handling big data problems like the ...
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ISBN:
(纸本)9781467347532
SAS (R) Visual Analytics Explorer is an advanced data visualization and exploratory data analysis application that is a component of the SAS Visual Analytics solution. It excels at handling big data problems like the VAST challenge. With a wide range of visual analytics features and the ability to scale to massive datasets, SAS Visual Analytics Explorer enables analysts to find patterns and relationships quickly and easily, no matter the size of their data. In this summary paper, we explain how we used SAS Visual Analytics Explorer to solve the VAST Challenge 2012 mini-challenge 1.
Immersive Analytics (IA) uses immersive virtual and augmented reality displays for data visualization and visual analytics. Designers rely on studies of how accurately people interpret data in different visualizations...
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ISBN:
(纸本)9781728156088
Immersive Analytics (IA) uses immersive virtual and augmented reality displays for data visualization and visual analytics. Designers rely on studies of how accurately people interpret data in different visualizations to make effective visualization choices. However, these studies focus on data analysis in traditional desktop environments. We lack empirical grounding for how to best visualize data in immersive environments. This study explores how people interpret data visualizations across different display types by measuring how quickly and accurately people conduct three analysis tasks over five visual channels: color, size, height, orientation, and depth. We identify key quantitative differences in performance and user behavior, indicating that stereo viewing resolves some of the challenges of visualizations in 3D space. We also find that while AR displays encourage increased navigation, they decrease performance with color-based visualizations. Our results provide guidelines on how to tailor visualizations to different displays in order to better leverage the affordances of IA modalities.
Objective:(1) Our objective is to identify requirements (i.e., quality, attributes and functional requirements) for software visualization tools. We especially focus on requirements for research tools that target the ...
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ISBN:
(纸本)9781424406005
Objective:(1) Our objective is to identify requirements (i.e., quality, attributes and functional requirements) for software visualization tools. We especially focus on requirements for research tools that target the domains of visualization for software maintenance, reengineering, and reverse engineering. Method: The requirements are identified with a comprehensive literature survey based on relevant publications in journals. conference proceedings, and theses. Results: The literature survey has identified seven quality attributes (i.e., rendering scalability, information scalability:, interoperability, customizability. interactivity, us-ability and adoptability) and seven functional requirements (i.e., views. abstraction, search, filters, code proximity, automatic la,youts, and undo/history). Conclusions: The identified requirements are useful for researchers in the software visualization field to build and evaluate tools, and to reason about the domain of software visualization.
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