3,886 research outputs found

    Content-Based Exploration of Archival Images Using Neural Networks

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    We present DAIRE (Deep Archival Image Retrieval Engine), an image exploration tool based on latent representations derived from neural networks, which allows scholars to "query" using an image of interest to rapidly find related images within a web archive. This work represents one part of our broader effort to move away from text-centric analyses of web archives and scholarly tools that are direct reflections of methods for accessing the live web. This short piece describes the implementation of our system and a case study on a subset of the GeoCities web archive.This research was supported in part by the Andrew W. Mellon Foundation and the Social Sciences and Humanities Research Council of Canada

    PYCIPEDIA: Supporting Local and Remote Collaboration between Social Workers

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    PYCIPEDIA is a web-based collaborative tool for social workers that support parents with intellectual disabilities taking care of their small children. These particular social workers have been certified in providing parenting-skills training and support for parents with intellectual disabilities or with learning difficulties. As only a relatively small number of social workers are certified in providing the relevant support, there may be few colleagues to discuss with and learn from, even in larger municipalities with many social workers. To support social workers in providing the best possible support, the web-based collaborative tool PYCIPEDIA has been co-designed with social workers from two Swedish municipalities. The tool allows social workers to log in, and independent from what municipality they work in, create, browse, edit and share material (e.g. text, images and video) that can support the parents. They can discuss cases, rate online material, and access a forum.</p

    Galileo and EGNOS as an asset for UTM safety and security

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    GAUSS (Galileo-EGNOS as an Asset for UTM Safety and Security) is a H2020 project1 that aims at designing and developing high performance positioning systems for drones within the U-Space framework focusing on UAS (Unmanned Aircraft System) VLL (Very Low Level) operations. The key element within GAUSS is the integration and exploitation of Galileo and EGNOS exceptional features in terms of accuracy, integrity and security, which will be key assets for the safety of current and future drone operations. More concretely, high accuracy, authentication, precise timing (among others) are key GNSS (Global Navigation Satellite System) enablers of future integrated drone operations under UTM (UAS Traffic Management) operations, which in Europe will be deployed under U-Space [1]. The U-Space concept helps control, manage and integrate all UAS in the VLL airspace to ensure the security and efficiency of UAS operations. GAUSS will enable not only safe, timely and efficient operations but also coordination among a higher number of RPAS (Remotely Piloted Aircraft System) in the air with the appropriate levels of security, as it will improve anti-jamming and anti-spoofing capabilities through a multi-frequency and multi-constellation approach and Galileo authentication operations. The GAUSS system will be validated with two field trials in two different UTM real scenarios (in-land and sea) with the operation of a minimum of four UTM coordinated UAS from different types (fixed and rotary wing), manoeuvrability and EASA (European Aviation Safety Agency) operational categories. The outcome of the project will consist of Galileo-EGNOS based technological solutions to enhance safety and security levels in both, current UAS and future UTM operations. Increased levels of efficiency, reliability, safety, and security in UAS operations are key enabling features to foster the EU UAS regulation, market development and full acceptance by the society.Peer ReviewedPostprint (author's final draft

    Individual Professional Practice in the Company

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    V bakalárskej práci opisujem individuálnu odbornú prax vo firme Projektově.CZ s.r.o.. Práca zahŕňa informácie o firme a opis použitých technológií. Hlavnú časť práce predstavuje podrobný opis úloh, na ktorých som počas praxe pracovala. V závere hodnotím výhody a nové skúsenosti z odbornej bakalárskej praxe.In the bachelor theses is described individual professional experience in company named Projektově.CZ s.r.o.. Theses includes information about company and description of used technologies. Main part of thesis represents detailed descriptions of job, which I have been worked on during my working experience. In the end of thesis, I evaluate advantages and new skills achieved from professional bachelor experience in company Projektově.CZ.460 - Katedra informatikyvelmi dobř

    Promarc: An Online Skills and Projects Marketplace

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    Technical projects can vary greatly in terms of cost, complexity, and time. Project leads spend a lot of valuable time and energy making sure that their teams are organized and on-task. A major part of their responsibilities includes putting together a team with the right skills in order to maximize efficiency. Having a platform where project leads can quickly find team members with the right skills would save them a lot of stress and trouble. The goal of this project is to deliver such a platform, where users can make posts about their projects and the technical skills that they require, and be connected to an entire network of potential viable team members. Our system consists of a web application connected to a database backend, accessible through different interfaces depending on the credentials of the user. This report will also provide an in-depth analysis on the systems requirements specifications, use cases, data flow, involved actors, architecture, testing procedures, risk analysis, development timeline, final results, and societal impact

    WashU Epigenome Browser update 2019

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