125,387 research outputs found
Inviwo -- A Visualization System with Usage Abstraction Levels
The complexity of today's visualization applications demands specific
visualization systems tailored for the development of these applications.
Frequently, such systems utilize levels of abstraction to improve the
application development process, for instance by providing a data flow network
editor. Unfortunately, these abstractions result in several issues, which need
to be circumvented through an abstraction-centered system design. Often, a high
level of abstraction hides low level details, which makes it difficult to
directly access the underlying computing platform, which would be important to
achieve an optimal performance. Therefore, we propose a layer structure
developed for modern and sustainable visualization systems allowing developers
to interact with all contained abstraction levels. We refer to this interaction
capabilities as usage abstraction levels, since we target application
developers with various levels of experience. We formulate the requirements for
such a system, derive the desired architecture, and present how the concepts
have been exemplary realized within the Inviwo visualization system.
Furthermore, we address several specific challenges that arise during the
realization of such a layered architecture, such as communication between
different computing platforms, performance centered encapsulation, as well as
layer-independent development by supporting cross layer documentation and
debugging capabilities
A review of data visualization: opportunities in manufacturing sequence management.
Data visualization now benefits from developments in technologies that offer innovative ways of presenting complex data. Potentially these have widespread application in communicating the complex information domains typical of manufacturing sequence management environments for global enterprises. In this paper the authors review the visualization functionalities, techniques and applications reported in literature, map these to manufacturing sequence information presentation requirements and identify the opportunities available and likely development paths. Current leading-edge practice in dynamic updating and communication with suppliers is not being exploited in manufacturing sequence management; it could provide significant benefits to manufacturing business. In the context of global manufacturing operations and broad-based user communities with differing needs served by common data sets, tool functionality is generally ahead of user application
The Impact on Public Trust of Image Manipulation in Science
Aim/PurposeIn this paper, we address the theoretical challenges today’s scientific community faces to precisely draw linesbetween true and false pictures. In particular, we focus onproblems related to the hiddenwonders ofscience and the shiny im-ages produced for scientific papers or to appeal towider audiences. BackgroundAs rumors (hoaxes) and false news (fake news)explode acrosssociety and the current network, severalinitiatives using current technologyhave been launched to study this phenomena and limit the social impact. Over the last two decades, inappropriate scientific behavior has raisedmore questions about whether some scientific images are valid.MethodologyThis work is not about analyzing whethertoday’s imagesare objective.Instead,weadvocate for a general approach thatmakes it easier to truly believe in all kinds of knowledge, scientific or otherwise (Goldman, 1967; Goldman, & Ol-son, 2009). This need to believe is closely related to social order (Shapin, 1994). ContributionWe conclude that we must ultimately move away from older ideas about truth and objectivity in research to broadly approach howscience and knowledge are represented and move forward with this theoretical approach when communi-catingscience tothe public.FindingsContemporary visual culture suggests that our world is expressed through im-ages, which areall around us. Therefore,we need to promote thereliability of scientific pictures, which visually represent knowledge, to add meaning in a world of complex high-tech science (Allamel-Raffin, 2011; Greenberg, 2004; Rosenberger, 2009). Since the time of Galileo, and today more than ever, scien-tific activity should be understood as knowledgeproduced toreveal, and there-fore inform us of, (Wise, 2006) all that remains unexplained in our world , as well as everything beyond our senses
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