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Workflow effectively supports the design and management of work processes. This paper deals with such type workflows that enable the support of administrative type work processes. In this framework the focus is on the method of visualization and simulation of p-graph based automatically generated workflows. This paper aims to conceptualize such a tool that enables the examination, the analysis of...
Captured network traffic data is generally used to evaluate, validate and analyze novel solutions for various network problems. Hence, the quality and the completeness of the network traffic dataset are important for the analysis to yield correct results. However, the quality of the network traffic dataset is never questioned. In this work, we propose a systematic methodology to visually verify the...
As sensors continue to proliferate, the capabilities of effectively querying not only sensor data but also its metadata becomes important in a wide range of applications. This paper demonstrates a search system that utilizes various techniques and tools for querying sensor metadata and visualizing the results. Our system provides an easy-to-use query interface, built upon semantic technologies where...
We present the Auto Mapping Core (AMC), a new framework that supports fast construction and tuning of schema matching approaches for specific domains such as ontology alignment, model matching or database-schema matching. Distinctive features of our framework are new visualisation techniques for modelling matching processes, stepwise tuning of parameters, intermediate result analysis and performance-oriented...
Today, IT convergence technologies have been used in all areas for business creation and innovation as a means. Also, bioethics in the field of IT has been combined with new business creation. But, the physician which is encountering a substantial biomedical ethics had a standard of low-bioethics. In recent years, the voice of a magnetic about biomedical ethics and medical equip is the reaction of...
The analysis of execution traces can reveal important information about the behavioral aspects of complex software systems, hence reducing the time and effort it takes to understand and maintain them. Traces, however, tend to be considerably large which hinders their effective analysis. Existing traces analysis tools rely on some sort of visualization techniques to help software engineers make sense...
A data-centric ecosystem is the configuration of a central database along with all the applications that operate on top of it and are (a) dependent upon the database for performing their task appropriately and (b) closely related in terms of coding to the database. This paper presents first results towards addressing the issue of visualization of such a data-centric ecosystem in a reference “map”...
Virtual reality has achieved an adequate level of development for it to be considered in innovative applications such as education, training, and research in higher education. Virtual reality offers both opportunities and challenges for the educational sector. One of the challenges of virtual reality technology is the costs associated which have been unaffordable for educational institutes. However,...
We present a technique to visualize global uncertainty in stationary 3D vector fields by a topological approach. We start from an existing approach for 2D uncertain vector field topology and extend this into 3D space. For this a number of conceptional and technical challenges in performance and visual representation arise. In order to solve them, we develop an acceleration for finding sink and source...
Molecular dynamics is a widely used simulation technique to investigate material properties and structural changes under external forces. The availability of more powerful clusters and algorithms continues to increase the spatial and temporal extents of the simulation domain. This poses a particular challenge for the visualization of the underlying processes which might consist of millions of particles...
In recent years, sophisticated visualization methods have been developed to support both, the logical structure and the time-oriented aspects of computer-executable clinical treatment plans. However, visualizing the effects of applying treatment plans as well as supporting the exploration of effects on the patient's condition are still largely unresolved tasks. To fill this gap, we have developed...
Recent advances in microscopic imaging technology have enabled neuroscientists to obtain unprecedentedly clear images of neurons. To extract additional knowledge from the tangled neurons, for example, their connective relationships, is key to understanding how information is processed and transmitted within the brain. In this paper, we will introduce our recent endeavor, the Neuron Navigator (NNG),...
We present a new system, VISFAN, for the visual analysis of financial activity networks. It supports the analyst with effective tools to discover financial crimes, like money laundering and frauds. If compared with other existing systems and methodologies for the analysis of criminal networks, VISFAN presents the following main novelties: (i) It combines bottom-up and top-down interaction paradigms...
The need to prolong the ability for older adults to live at home independently has become an important area of smart environment research. In this proposal, we demonstrate a web-based visualization system (CASASviz) that integrates monitoring, analysis, and automated recognition of residents behavior patterns in smart environments. In our data collection module, we collect real sensor data from the...
Virtual reality systems involve the integration of both hardware and software components. The hardware enables users to navigate, interact and become immersed in the virtual environment while underlying support software creates the virtual environment and integrates the hardware into a working system. Although virtual reality is widely used for product design visualisation in engineering, there exist...
The RST multi-touch technique allows one to simultaneously control Rotations, Scaling, and Translations from multi-touch gestures. We conducted a user study to better understand the impact of directness on user performance for a RST docking task, for both 2D and 3D visualization conditions. This study showed that direct-touch shortens completion times, but indirect interaction improves efficiency...
This paper focuses on a metamodel based approach to UML systems modelling and simulation. The approach allows creating a system model by operating with artefacts from the problem domain. As a novelty for UML modelling, especially for simulation purposes, the presented meta-model is enriched by a set of stochastic attributes of modelled activities. Modelling process is ensured by developing UML based...
Visual interpretation of SAR images plays a critical role in remote sensing applications. For obtaining the image suitable for human observation, a new method of visualization for SAR images is proposed in this paper. The proposed algorithm takes a negative exponential transformation on the original SAR image. The parameter of the transformation can be computed rapidly based on the characteristic...
Current VR systems such as the CAVE provide an effective platform for the immersive exploration of large 3D data. A major limitation is that in most cases at least one display surface, such as a ceiling or a back wall, is missing due to space, access or cost constraints. This partially-immersive visualization results in a substantial loss of visual information that may be acceptable for some applications;...
Many data sets exist that contain both geospatial and temporal elements, in addition to the core data that requires analysis. Within such data sets, it can be difficult to determine how the data have changed over spatial and temporal ranges. In this design study we present a system for dynamically exploring geo-temporal changes in the data. GTdiff provides a visual approach to representing differences...
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