Wireless sensor networks (WSNs) have an intrinsic interdependency with the environments in which they operate. The part of the world with which an application is concerned is defined as that application's domain. ...
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ISBN:
(纸本)9783642028298
Wireless sensor networks (WSNs) have an intrinsic interdependency with the environments in which they operate. The part of the world with which an application is concerned is defined as that application's domain. This paper advocates that an application domain of a WSN application can serve as a supplement to analysis, interpretation, and visualisation methods and tools. We believe it is critical to elevate the capabilities of the visualisation service, the mapping service, proposed in [1] to make use of the special characteristics of an application domain. In this paper, we propose an adaptive Multi-Dimensional Application Domain-driven (M-DAD) visualisation framework that is suitable for visualising an arbitrary number of sense modalities and other parameters of the application domain to improve the visualisation performance. M-DAD starts with an initial user defined model that is maintained and updated throughout the network lifetime. The experimental results demonstrate that M-DAD visualisation framework performs as well or better than visualisation services without its extended capabilities.
This article leads the concept of data visualization into the huge amounts of news data, design and implements a system of News data Visual System (NDVS). It is a news gathering, analysis, structured storage and visua...
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ISBN:
(纸本)9781467377232
This article leads the concept of data visualization into the huge amounts of news data, design and implements a system of News data Visual System (NDVS). It is a news gathering, analysis, structured storage and visual analysis system. NDVS collects news data in the schedule time from seeds website by a web spider that written by java every day. The structured documents that processed and analyzed by detached parameters from URL and classify news will be saved in distributed database of NOSQL - MongoDB. WEB will visually and interactively animate the documents in the means of ***. Design and realization of NDVS will be emphasized in the article, and we find that NDVS has a good capability when lots of clients concurrent access. We believe NDVS will become a useful tool between news and media works, because system follows the usability policy that helps people to find the potential tendency of news' development and guide the public opinion in the stage of visualization design.
This article reports on a multiphase study designed to understand how nonexpert users interact with COVID-19 data dashboards, particularly in terms of the dashboards' actionability, or ability to support decision ...
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This article reports on a multiphase study designed to understand how nonexpert users interact with COVID-19 data dashboards, particularly in terms of the dashboards' actionability, or ability to support decision making. Analysis of the videos and transcriptions of user interviews shows the variable relevance of proposed criteria for dashboard actionability and suggests additional criteria for users' emotional responses to data and for the presentation of data at degrees of personal and local granularity. These findings advance an understanding of how nonexpert audiences interact with and derive value from complex visualized data.
With the advent of the era of big data, there are more and more ways to obtain data. The collected data generally is large-scale, multi-dimensional and time-varying. To explore and analyse time-varying data comprehens...
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ISBN:
(纸本)9781538662434
With the advent of the era of big data, there are more and more ways to obtain data. The collected data generally is large-scale, multi-dimensional and time-varying. To explore and analyse time-varying data comprehensively, this paper proposes a visual method for processing multidimensional time-varying data based on parallel coordinate system. Firstly, we use MDS algorithm to turn the original multidimensional time data to distribute in one-dimension space in chronological order, constructing the time-varying parallel coordinate system. Then, we cluster the projection coordinate points of each time axis, and each type of data is drawn in different colours to differentiate. At last, edge bundling method is used to cluster data polylines in each time segment, helping to reduce visual confusion and improve information expression efficiency. The experimental analysis of the air quality dataset from Krakow Poland shows that the method can comprehensively analyse the multi-dimensional time-varying data, helping users to explore the implied regularity hidden in the dataset effectively.
Building interactive data interfaces is hard because the design of an interface depends on the data processing needs for the underlying analysis task, yet we do not have a good representation for analysis tasks. To fi...
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ISBN:
(纸本)9798400702167
Building interactive data interfaces is hard because the design of an interface depends on the data processing needs for the underlying analysis task, yet we do not have a good representation for analysis tasks. To fill this gap, this paper advocates for a data Interface Grammar (DIG) as an intermediate representation of analysis tasks. We show that DIG is compatible with existing data engineering practices, compact to represent any analysis, simple to translate into an interface design, and amenable to offline analysis. We further illustrate the potential benefits of this abstraction, such as automatic interface generation, automatic interface backend optimization, tutorial generation, and workload generation.
We demonstrate an interactive 3D data visualization tool called Tangibledata. Tangibledata adapts hand gestures and mid-air haptics to provide 3D data exploration and interaction in VR using hand gestures and ultrasou...
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ISBN:
(纸本)9798400705243
We demonstrate an interactive 3D data visualization tool called Tangibledata. Tangibledata adapts hand gestures and mid-air haptics to provide 3D data exploration and interaction in VR using hand gestures and ultrasound mid-air haptic feedback. We show-case different types of 3D visualizationdatasets with different data encoding methods that convert data into visual and haptic representations for data interaction. We focus on an intuitive approach for each dataset, using mid-air haptics to improve the user's understanding.
We present a storage and processing model for climate datasets elaborated in the framework of a virtual research environment (VRE) for climate and environmental monitoring and analysis of the impact of climate change ...
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We present a storage and processing model for climate datasets elaborated in the framework of a virtual research environment (VRE) for climate and environmental monitoring and analysis of the impact of climate change on the socio-economic processes on local and regional scales. The model is based on a "sharednothing" distributed computing architecture and assumes using a computing network where each computing node is independent and self-sufficient. Each node holds a dedicated software for the processing and visualization of geospatial data providing programming interfaces to communicate with the other nodes. The nodes are interconnected by a local network or the Internet and exchange data and control instructions via SSH connections and web services. Geospatial data is represented by collections of netCDF files stored in a hierarchy of directories in the framework of a file system. To speed up data reading and processing, three approaches are proposed: a pre-calculation of intermediate products, a distribution of data across multiple storage systems (with or without redundancy), and caching and reuse of the previously obtained products. For a fast search and retrieval of the required data, according to the data storage and processing model, a metadatadatabase is developed. It contains descriptions of the space-time features of the datasets available for processing, their locations, as well as descriptions and run options of the software components for data analysis and visualization. The model and the metadatadatabase together will provide a reliable technological basis for development of a high-performance virtual research environment for climatic and environmental monitoring.
As a profession, geotechnical engineering is not a dominant player in data management challenges;however, our entire business revolves around the collection, compilation, interpretation, and evaluation of subsurface d...
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ISBN:
(数字)9780784485408
ISBN:
(纸本)9780784485408
As a profession, geotechnical engineering is not a dominant player in data management challenges;however, our entire business revolves around the collection, compilation, interpretation, and evaluation of subsurface data. And, as a profession, we have collected this data for decades and prized this compilation as a valuable business asset. Unfortunately, the tools available to manage this data are limited, and our data have typically been stored in their proprietary structure. When a major software provider announces the end of life of one of these tools, we face the daunting challenge of migrating data to a new software platform and converting it to a new format, or, more worrisome, the demise of our archive of geotechnical data. Having worked closely with the development of DIGGS, the authors have anticipated this day and facing the data conversion challenge head on. This paper will discuss challenges experienced with converting decades of data in various formats and the future use of this data that now will be readily accessible. Further, once this data is converted into a readily accessible and possibly centralized storage facility, the opportunities for rapid compilation, interpretation, and visualization will revolutionize the ability of contractors to make rapid risk assessment and optimize pricing strategies.
In the Internet of Things(IoT) monitoring system, there are various devices for monitoring the target's movement trajectory and behavior, the raw data of these devices has accumulated over time to form huge histor...
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ISBN:
(纸本)9781450376785
In the Internet of Things(IoT) monitoring system, there are various devices for monitoring the target's movement trajectory and behavior, the raw data of these devices has accumulated over time to form huge historical data. A historical review of monitoring targets requires a system that presents the target's historical data in a visual form. The existing system has realized the storage of target historical data, but there is still a lack in the playback of historical data. The system lacks the visual playback of the target multi-device historical monitoring data, that is difficult to comprehensively reflect the behavior information and movement status of the target during the playback period. The system lacks dynamic presentation of the target's historical motion trajectory, that is difficult to visually display the target's historical position at different times during playback, and it is impossible to analyze the historical behavior trend of the target. This paper designs and implements a historical data playback system that supports the display of target multi-dimensional information and the dynamic presentation of target track to solve the above problems. A lightweight web application framework Express is used to build a website. Based on GIS(Geographic Information System) technology, an incremental update method for fast and dynamic rendering of the target track is proposed. Combined with the component technology, the target history multidimensional information visualization is presented. Test results show that the system can complete multi-dimensional playback of historical IoT monitoring data and rapid dynamic presentation of target tracks.
The aim of this work is to develop and evaluate a multi-stage procedure model for the identification of use problems and optimization of usability using biosignal data. The concept is divided into 5 steps: 1. static a...
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ISBN:
(纸本)9781643683898
The aim of this work is to develop and evaluate a multi-stage procedure model for the identification of use problems and optimization of usability using biosignal data. The concept is divided into 5 steps: 1. static analysis of data to identify use problems;2. conducting interviews within the context of use and requirements analysis to investigate problems in more detail;3. developing new interface concepts to implement the requirements and a prototype of an interface including dynamic visualization of data;4. formative evaluation using an unmoderated remote usability test;5. usability test with realistic scenarios and influencing factors in the simulation room. The concept was evaluated in the ventilation setting as an example. The procedure allowed the identification of use problems in the ventilation of patients as well as the development of suitable concepts and their evaluation to counteract use problems. To relieve users, ongoing analyses of biosignals with respect to the use problem are to be carried out. To overcome technical barriers, further development is needed in this area.
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