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I'm an engineer, hacker, entrepreneur... something like that.
Master's degree in…

Berufserfahrung und Ausbildung

  • Data Lab Hell GmbH

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Veröffentlichungen

  • The Network Structure of Visited Locations According to Geotagged Social Media Photos

    Collaboration in a Data-Rich World. PRO-VE 2017. IFIP Advances in Information and Communication Technology, vol 506. Springer, Cham

    Businesses, tourism attractions, public transportation hubs and other points of interest are not isolated but part of a collaborative system. Making such collaborative network surface is not always an easy task. The existence of data-rich environments can assist in the reconstruction of collaborative networks. They shed light into how their members operate and reveal a potential for value creation via collaborative approaches. Social media data are an example of a means to accomplish this task.…

    Businesses, tourism attractions, public transportation hubs and other points of interest are not isolated but part of a collaborative system. Making such collaborative network surface is not always an easy task. The existence of data-rich environments can assist in the reconstruction of collaborative networks. They shed light into how their members operate and reveal a potential for value creation via collaborative approaches. Social media data are an example of a means to accomplish this task. In this paper, we reconstruct a network of tourist locations using fine-grained data from Flickr, an online community for photo sharing. We have used a publicly available set of Flickr data provided by Yahoo! Labs. To analyse the complex structure of tourism systems, we have reconstructed a network of visited locations in Europe, resulting in around 180,000 vertices and over 32 million edges. An analysis of the resulting network properties reveals its complex structure.

    Andere Autor:innen
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  • Energy Efficient Technologies State-of-the-art Survey

     ENTROPY (EU Project)

    This document provides an overview of the main technologies adopted within
    ENTROPY towards the design of the proposed mechanisms and frameworks. Therefore, it
    includes a state-of-the-art analysis based on existing work in the international bibliography
    as well as relevant projects and the description of the key mechanisms that may be adopted
    within the project along with their corresponding added value.

    Veröffentlichung anzeigen
  • Disc-JoQey: A Semi-Automatic Application to Segment and Tag Recordings from Vinyls

    ISMIR Proceedings 2009

    Digitisation of analogue audio storage media, such as vinyls, can be tedious work. Transferring the contained music to, e.g., an mp3 file that can be put on portable music devices usually requires several steps that exceed the (already not trivial) process of recording the pure audio signal. As opposed to ripping a CD, where audio extraction and labelling with meta-data can be performed fully automatic, for vinyls, the user has to take care of flipping the disc to record both sides, finding…

    Digitisation of analogue audio storage media, such as vinyls, can be tedious work. Transferring the contained music to, e.g., an mp3 file that can be put on portable music devices usually requires several steps that exceed the (already not trivial) process of recording the pure audio signal. As opposed to ripping a CD, where audio extraction and labelling with meta-data can be performed fully automatic, for vinyls, the user has to take care of flipping the disc to record both sides, finding start and end of every track, extracting individual tracks, and finally manually annotating each track with meta-data. Disc-JoQey is an open-source software (published under BSD license) that aims at supporting the user in the process of segmenting, extracting, and tagging tracks from vinyl recordings. After typing in album artist and album title, Disc-JoQey retrieves album-specific meta-data (track titles, lengths, and offsets) via a music meta-data search engine (currently MusicBrainz). Since the retrieved data refers to the CD version of the album, timing data has to be adapted (i.e., mapped to the two sides of the recording). A waveform representation of the recorded signals can be used to check the correctness of start and end point for each track and, if necessary, to correct them. All annotated tracks can then be automatically exported into id3-tagged mp3 files.

    Andere Autor:innen
    • Peter Knees
    Veröffentlichung anzeigen

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