254 research outputs found

    3 case studies: a hybrid educational strategy for ART/SCI collaborations

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    In this paper we report on a transdisciplinary university course designed to bring together fine art/visual communication design and computer science students for the creation and implementation of collaborative visual/audio projects that draw upon the specialized knowledge of both these disciplines. While an overview of the syllabus and the teaching methodologies is undertaken in the introduction, the focus of the paper concentrates upon an in-depth discussion and analysis of 3 specific projects that were developed by 3 distinct teams of students comprised of one artist/designer and one engineer each

    End-User Visualization and Manipulation of Distributed Aggregate Data

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    Aggregate visualization and manipulation enables the viewing and interaction of dynamically changing data sets in a graphically meaningful way. However, off-the-shelf applications typically provide only limited ways to view static aggregates and generally do not support manipulation of aggregate data through the resulting visualization. To be fully dynamic, an aggregate visualization should be customizable to suit the individual's needs and should allow end-users to modify the data through direct manipulation. This paper describes a software system that empowers end-users to create interactive aggregate visualizations through a visual language interface. Included are mechanisms for specifying how aggregate data is processed from multiple sources of a distributed application, providing functionality similar to project, select, join, and cross product of relational databases. This approach gives end-users the power to create customized, interactive visualizations of dynamically changing ..

    Considering agency and data granularity in the design of visualization tools

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    The Ecuadorian Government supports Gonzalo Gabriel MĂ©ndez through a SENESCYT scholarship.Previous research has identified trade-offs when it comes to designing visualization tools. While constructive “bottom-up” tools promote a hands-on, user-driven design process that enables a deep understanding and control of the visual mapping, automated tools are more efficient and allow people to rapidly explore complex alternative designs, often at the cost of transparency. We investigate how to design visualization tools that support a user-driven, transparent design process while enabling efficiency and automation, through a series of design workshops that looked at how both visualization experts and novices approach this problem. Participants produced a variety of solutions that range from example-based approaches expanding constructive visualization to solutions in which the visualization tool infers solutions on behalf of the designer, e.g., based on data attributes. On a higher level, these findings highlight agency and granularity as dimensions that can guide the design of visualization tools in this space.Postprin

    Science and Art Collaboration

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    The purpose of this project was to create a website and promotional video that would demonstrate the feasibility of establishing a science and art community within Acadia National Park. A website and promotional video served as aids for the staff at Acadia and Schoodic Institute to visualize the potential features of this theoretical community, hopefully incentivizing the establishment of a real program at SERC. The information gathered through interviewing and independent research was compiled to create a website. A promotional video was also created to draw attention to the community and the website. The National Park Service and Schoodic Institute staff were then given these tools to aid in future development and implementation of this community

    A stabilized adaptive appearance changes model for 3D head tracking

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    A simple method is presented for 3D head pose estimation and tracking in monocular image sequences. A generic geometric model is used. The initialization consists of aligning the perspective projection of the geometric model with the subjects head in the initial image. After the initialization, the gray levels from the initial image are mapped onto the visible side of the head model to form a textured object. Only a limited number of points on the object is used allowing real-time performance even on low-end computers. The appearance changes caused by movement in the complex light conditions of a real scene present a big problem for fitting the textured model to the data from new images. Having in mind real human-computer interfaces we propose a simple adaptive appearance changes model that is updated by the measurements from the new images. To stabilize the model we constrain it to some neighborhood of the initial gray values. The neighborhood is defined using some simple heuristic

    Evolution of Earth Observation Online Data Access

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    With the Heterogeneous Missions Accessibility (HMA) initiative, the OGC standard “Web Coverage Service (WCS) Earth Observation Application Profile” has been developed to harmonize online access to very large primary Earth Observation data holdings. Although its use in web mapping servers has proven valuable capabilities, this standard is not yet widely adopted. Its acceptance for data download by end users is hampered by the lack of interpretation guidelines and its complexity requiring considerable server and client implementation efforts. In this context, the project “Evolution of EO Online Data Access Services” funded by the European Space Agency (ESA) and presented in this paper analyses relevant scenarios and technologies for data publication and access, identifies potential for improvements of standards and their implementations, prototypes and evaluates selected improvements and proposes standard extensions for future releases. We hope hereby to considerably improve the acceptance of online EO data access services and standards and to promote their evolution and diffusion

    SOCR: Statistics Online Computational Resource

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    The need for hands-on computer laboratory experience in undergraduate and graduate statistics education has been firmly established in the past decade. As a result a number of attempts have been undertaken to develop novel approaches for problem-driven statistical thinking, data analysis and result interpretation. In this paper we describe an integrated educational web-based framework for: interactive distribution modeling, virtual online probability experimentation, statistical data analysis, visualization and integration. Following years of experience in statistical teaching at all college levels using established licensed statistical software packages, like STATA, S-PLUS, R, SPSS, SAS, Systat, etc., we have attempted to engineer a new statistics education environment, the Statistics Online Computational Resource (SOCR). This resource performs many of the standard types of statistical analysis, much like other classical tools. In addition, it is designed in a plug-in object-oriented architecture and is completely platform independent, web-based, interactive, extensible and secure. Over the past 4 years we have tested, fine-tuned and reanalyzed the SOCR framework in many of our undergraduate and graduate probability and statistics courses and have evidence that SOCR resources build student's intuition and enhance their learning.
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