Browsing by Author "Burdisso, Daniel"

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    Library Tweets Conversion
    Dhakal, Pranav; Bhargava, Yash; Herms, Anna; Powell, Kenneth; Burdisso, Daniel (Virginia Tech, 2021-12-16)
    The Digital Library Research Laboratory (DLRL) has collected billions of tweets over the course of years. These tweets were gathered using three different data collection tools, and have been organized into collections based on keywords. The different collection tools used were: Social Feed Manager (SFM), yourTwapperKeeper (YTK), and Digital Methods Initiative Twitter Capture and Analysis Toolset (DMI-TCAT). Because each of these tools store the tweets differently, the DLRL aims to consolidate these tweets so the Library can provide a service that allows the campus to easily access and use this data. Our job was to come up with a unified JSON format that all of these tweets could be represented by and to provide a way to convert them to this new format. Additionally, we had to provide suitable collection-level information for each distinct data collection that showed the connections between tweets and the collections they belonged to. To accomplish this, we have six conversion scripts. Three of these are for converting the individual tweets, and three of them are for compiling the collection-level metadata and preserving the relationship between tweets and collections. When run with the Twitter data, they provide a unified way to digest all of the collected data regardless of which method it was obtained by.
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    Smart Work Zone System
    Talledo Vilela, Jean Paul; Mollenhauer, Michael A.; White, Elizabeth E.; Vaughan, Elijah W.; Burdisso, Daniel (Safe-D National UTC, 2022-10)
    In the previous Safe-D project 04-104, a prototype wearable Personal Protective Equipment vest that accurately localizes, monitors, and predicts potential collisions between work zone (WZ) workers and passing motorists was developed and demonstrated. The system also notifies the worker when they’re about to depart geo-fenced safe areas within WZs. While the design supported a successful functional demonstration, additional design iteration was required to simplify, ruggedize, and reduce per unit costs to increase the likelihood of broader adoption. In addition, two new useful components were identified that support a more effective deployment package. One of these components is a Base Station that provides an edge computing environment for alert algorithm processing, consolidates communications of individual worker positions via a 4G link to a cloud computing environment, and can be coupled with a local roadside unit to support the broadcast of WZ information to connected and automated vehicles. The second component is a Smart Cone device that was added to help automatically define safe area boundaries and improve communications reliability between workers and the Base Station. This entire package was developed to support a broader scale deployment of the technology by the Virginia Department of Transportation.