9 research outputs found

    Metropolitan Wi-Fi Research Network at the Los Angeles State Historic Park

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    UCLA is deploying a metropolitan-scale Wi-Fi mesh network near Downtown Los Angeles. It supports research in community-based urban participatory sensing, which focuses on how people can use their everyday mobile phones as sensors for data gathering on personal, community, and urban scales.  Moreover, we will use it to explore Cultural Civic Computing, a service-oriented urban computing model in which neighborhoods power the processes of imagining, specifying, and designing technology infrastructure for public places. This work provides infrastructure with which to explore the potential that a large scale Wi-Fi deployment offers multicultural communities in investigating and reclaiming their own environments, and creating healthy and livable cities.  It also enables public exploration of creativity and cultural identity, as well as the diverse histories of our cities and neighborhoods

    Narreme: Tools for Telling Tales with Participatory Sensing Data

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    The proliferation of sensors in consumer mobile phones has made them a powerful data collection platform. We have become more interested in collecting data to document and learn about our own lives, our relationships with the community, and the environment we live in. However, current research is mostly focused on analysis of quantitative data, and a lot of important information that can be extracted from qualitative data such as images and text annotations is being ignored. The focus of this dissertation was to research and build techniques based on narratology to help users analyze and make sense of the qualitative data they have collected and to communicate the information and knowledge they extract from the data though narratives. More specifically, our main contribution was in the creation and evaluation of two techniques that were fundamental to narration tools: clustering and conflict discovery. We used these techniques to build the Narreme toolset that enables user-assisted creation of compelling narratives with participatory sensing data. The toolset consists of three tools: (a) Narreme clustering tool which helps a user organize her thoughts and identify supporting qualitative data consisting of images and text for her narratives, (b) Narreme conflict discovery tool helps the user better understand where conflict could be introduced in her narratives, and, (c) Narreme video editing tool which is used to create a video slideshow narrative and adjust the order based on a narrative ten- sion curve. We evaluated the effectiveness of our techniques and toolset through user studies

    Prevalence of High and Low -level Mupirocin, resistance against MRSA from a tertiary care hospital in eastern UP

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    Aim: To determine the prevalence of High and Low -level Mupirocin, resistance against MRSA from a tertiary care hospital in eastern UP was the aim of this study. Methods and Material: A total of 62 non duplicate previously confirmed MRSA isolates were included in this study. The Susceptibility testing andresult interpretation for determining the high and low level of mupirocin resistance was performed by disk diffusion method using 200 µg and 5 µg disc respectively as per Clinical and Laboratory Standards Institute (CLSI) M100-S25 recommendations. Results: A total of 60 isolates (96.8 %) were found sensitive to mupirocin, 2 isolates (3.2 %) had low-level mupirocin resistance whereas none of the isolates was found to have high-level mupirocin resistance. Conclusion: The high-level mupirocin-resistant is uncommon in our patient population. The Periodic monitoring is useful for detecting changing trends in mupirocin resistance as a risk of emergence of high level mupirocin resistant strains is there

    Abstract Impact of Video Encoding Parameters on Dynamic Video

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    Currently there are a wide variety of devices with different screen resolutions, color support, processing power, and network connectivity, capable of receiving streaming video from the Internet. In order to serve different multimedia content to all these devices, middleware proxy servers which transcode content to fit different types of devices are becoming popular. In this paper, we present result of several tests conducted with different combination of video encoding parameters and show their impact on network, CPU and energy resource usage of a transcoding server. For this purpose, we implemented a dynamic video trancoding server, which enables dynamic changes in different trancoding parameters during a video streaming session
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