48 resultados para Seattle


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The collection of essays set to roll out on Culture Digitally over the next month began its life as a pair of panels spanning the last two annual meetings of the International Communication Association. At the 2014 meetings in Seattle, Washington and the 2015 meetings in San Juan, Puerto Rico, various configurations of the contributors in this collection met to discuss the cultures and communicative practices associated with internet memes and viral media. Our shared goal was to bring smart people together to start to think about these digital media genres—still emerging only a few years ago and now seemingly ubiquitous—above the level of the individual example. Together, we asked questions about how internet memes and viral media might be defined, their roles in popular culture, their relationships to far older scientific and scholarly traditions, and their public implications. Two years and two discussions that ended too quickly later, we decided to write up some of our key arguments from the panels. We’ve compiled these write-ups here, in what we’ve taken to calling “The Culture Digitally Festival of Memeology.” - See more at: http://culturedigitally.org/2015/10/00-the-culture-digitally-festival-of-memeology-an-introduction-ryan-m-milner-jean-burgess/#sthash.2KzDogso.dpuf

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The performance aspect of a PhD thesis. In 1976, The Saints released “I’m Stranded” and Brisbane was suddenly on the map. People starting talking about Brisbane bands in the same way they had talked about Liverpool bands or would talk about Seattle bands. The history of the Brisbane music scene has been constructed and interpreted by both journalists (at the time and since) and academics (in retrospect). These histories and analyses have come some way to painting a picture of a time and place that is somewhat mythic. As a significant member of this scene, my memory stores a different picture, different shadings: a vibrant social scene with cultural by-products (music, art, film, fashion). By gathering the ephemera of the time and embellishing with a series of interviews with some Brisbane musicians, I will be growing new, untold stories, grounded in shared experience and understanding. The interview footage, and the bounty of ephemera that continues to be unearthed, will be thrown together in the style of the times and presented in public as a live documentary filled with the faces, voices and music on which these times were built. The performances are the Creative Practice component of the PhD, and are the result of a curatorial process which will be examined in the exegetic component of the thesis due for delivery in mid 2016.

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In many parts of the world, uncontrolled fires in sparsely populated areas are a major concern as they can quickly grow into large and destructive conflagrations in short time spans. Detecting these fires has traditionally been a job for trained humans on the ground, or in the air. In many cases, these manned solutions are simply not able to survey the amount of area necessary to maintain sufficient vigilance and coverage. This paper investigates the use of unmanned aerial systems (UAS) for automated wildfire detection. The proposed system uses low-cost, consumer-grade electronics and sensors combined with various airframes to create a system suitable for automatic detection of wildfires. The system employs automatic image processing techniques to analyze captured images and autonomously detect fire-related features such as fire lines, burnt regions, and flammable material. This image recognition algorithm is designed to cope with environmental occlusions such as shadows, smoke and obstructions. Once the fire is identified and classified, it is used to initialize a spatial/temporal fire simulation. This simulation is based on occupancy maps whose fidelity can be varied to include stochastic elements, various types of vegetation, weather conditions, and unique terrain. The simulations can be used to predict the effects of optimized firefighting methods to prevent the future propagation of the fires and greatly reduce time to detection of wildfires, thereby greatly minimizing the ensuing damage. This paper also documents experimental flight tests using a SenseFly Swinglet UAS conducted in Brisbane, Australia as well as modifications for custom UAS.