142 results
Search Results
Now showing 1 - 10 of 142
- ItemSoft Inkjet Circuits: Rapid Multi-Material Fabrication of Soft Circuits using a Commodity Inkjet Printer(New York City : Association for Computing Machinery, 2019) Khan, Arshad; Roo, Joan Sol; Kraus, Tobias; Steimle, JürgenDespite the increasing popularity of soft interactive devices, their fabrication remains complex and time consuming. We contribute a process for rapid do-it-yourself fabrication of soft circuits using a conventional desktop inkjet printer. It supports inkjet printing of circuits that are stretchable, ultrathin, high resolution, and integrated with a wide variety of materials used for prototyping. We introduce multi-ink functional printing on a desktop printer for realizing multi-material devices, including conductive and isolating inks. We further present DIY techniques to enhance compatibility between inks and substrates and the circuits' elasticity. This enables circuits on a wide set of materials including temporary tattoo paper, textiles, and thermoplastic. Four application cases demonstrate versatile uses for realizing stretchable devices, e-textiles, body-based and re-shapeable interfaces.
- ItemSemi-supervised identification of rarely appearing persons in video by correcting weak labels(New York City : Association for Computing Machinery, 2016) Müller, Eric; Otto, Christian; Ewerth, RalphSome recent approaches for character identification in movies and TV broadcasts are realized in a semi-supervised manner by assigning transcripts and/or subtitles to the speakers. However, the labels obtained in this way achieve only an accuracy of 80% - 90% and the number of training examples for the different actors is unevenly distributed. In this paper, we propose a novel approach for person identification in video by correcting and extending the training data with reliable predictions to reduce the number of annotation errors. Furthermore, the intra-class diversity of rarely speaking characters is enhanced. To address the imbalance of training data per person, we suggest two complementary prediction scores. These scores are also used to recognize whether or not a face track belongs to a (supporting) character whose identity does not appear in the transcript etc. Experimental results demonstrate the feasibility of the proposed approach, outperforming the current state of the art.
- ItemQuo vadis, VIVO? Stand und Entwicklung(Zenodo, 2017) Hauschke, ChristianVortrag mit den Highlights der VIVO-Conference 2017, einem Überblick über VIVO 1.10 und einem Ausblick auf die VIVO-Aktivitäten der TIB.
- ItemWissenschaftliche Videos im Semantic Web - das AV Portal der TIB in der Linked Open Data Cloud(Reutlingen : Berufsverband Information Bibliothek e. V., 2017) Saurbier, FelixDie Technische Informationsbibliothek (TIB) hat sich zum Ziel gesetzt, die Nutzung und Verbreitung ihrer Sammlungen nachhaltig zu fördern und setzt dazu konsequent auf Semantic Web-Technologien. Durch die Bereitstellung von "Linked Library Data" können Bibliotheken und Informationsdienstleister die Sicht- und Auffindbarkeit ihrer Bestände signifikant erhöhen. Denn zum einen vereinfachen strukturierte Daten, die interoperabel sowie maschinenlesbar sind, die Nachnutzung durch Dritte entscheidend. Zum anderen ermöglichen sie wesentlich differenziertere sowie effizientere Suchanfragen und unterstützen Bibliotheksnutzer sowohl im Retrieval als auch in der Weiterverarbeitung der für sie relevanten Informationen. Vor diesem Hintergrund veröffentlicht die TIB umfangreiche Meta- und Erschließungsdaten der wissenschaftlichen Filme ihres AV-Portals im standardisierten Resource Description Format (RDF) und stellt auf diesem Weg einen neuen und innovativen Service zur Nachnutzung und Verlinkung ihrer Datensätze zur Verfügung. In unserem Vortrag möchten wir zeigen, welche Mehrwerte sich auf Basis der eingesetzten Linked Open Data-Technolgien im Kontext audiovisueller Medien generieren lassen und die Nutzung von Linked Open Data im AV-Portal der TIB vorstellen. Besonderes Augenmerk soll dabei erstens auf den semantischen Erschließungsdaten liegen, die durch automatisierte Verfahren der Bild-, Text- und Spracherkennung generiert werden. Zweitens sollen die darauf aufbauenden Mehrwertdienstleistungen - wie die semantische Anreicherung mit zusätzlichen relevanten Informationen und die Verlinkung weiterführender Ressourcen - vorgestellt werden. Schließlich soll drittens demonstriert werden, wie durch die Bereitstellung der autoritativen sowie zeitbasierten, automatisch generierten Metadaten als Linked Open Data unter einer Creative Commons-Lizenz die freie Nachnutzung der Daten des AV-Portals durch Dritte ermöglicht wird.
- ItemOpen-Access-Publikationsfonds der Leibniz-Gemeinschaft – Zentraler Fonds für eine dezentrale Forschungsorganisation(Zenodo, 2016) Tullney, Marco; Eppelin, Anita[no abstract available]
- ItemTo OER or not to OER? A question for academic libraries(Den Haag : IFLA, 2016) Stummeyer, SabineThe growing demand for higher education and the ongoing developments in ICT infrastructure have created unique challenges for higher education institutions. Open Educational Resources (OER) were once created to provide an easy access to learning material in order to support especially the education systems of developing countries. Now they can play an important role for higher education institutions in supporting their teaching staff to create effective teaching and learning environments for their students to encourage greater individual engagement with information. Academic librarians and libraries have a long tradition in providing information to their users. With regard to OER, key roles are creating digital repositories, providing metadata, resource description and indexing, managing and clearing intellectual property rights or storing and dissemination of OER. New challenges can be promoting „openness“ and „open resources“ and the role that librarians and library professionals play by helping users describe, discover, manage and disseminate OER and related copyright expertise. As an added value, academic libraries are offering infrastructure, trusted relationships and communities of practice to the OER-movement. They are integrating collaborative, open cooperation to teaching and research work – the library as a "OER knowledge manager” and therefore they are strengthening their central position to the academic community.
- ItemOpen Science - Eine Chance für den Fortschritt? ...und etwas #ScholComm-Praxis(Hannover : Technische Informationsbibliothek, 2018) Heller, Lambert[no abstract available]
- ItemUmsetzung des KDSF-Datenmodells in VIVO(Zenodo, 2017) Walther, Tatiana; Hauschke, ChristianIm Rahmen des Projekts „Umsetzung Kerndatensatz Forschung in VIVO“ wird am Open Science Lab der Technischen Informationsbibliothek Hannover (TIB) der Versuch unternommen, den Kerndatensatz Forschung in das Forschungsinformationssystem VIVO zu integrieren. Entwurf KDSF-VIVO-Alignment und KDSF-VIVO-Extension: https://github.com/VIVO-DE/VIVO-KDSF-Integration
- Item“Are machines better than humans in image tagging?” - A user study adds to the puzzle(Heidelberg : Springer, 2017) Ewerth, Ralph; Springstein, Matthias; Phan-Vogtmann, Lo An; Schütze, Juliane“Do machines perform better than humans in visual recognition tasks?” Not so long ago, this question would have been considered even somewhat provoking and the answer would have been clear: “No”. In this paper, we present a comparison of human and machine performance with respect to annotation for multimedia retrieval tasks. Going beyond recent crowdsourcing studies in this respect, we also report results of two extensive user studies. In total, 23 participants were asked to annotate more than 1000 images of a benchmark dataset, which is the most comprehensive study in the field so far. Krippendorff’s α is used to measure inter-coder agreement among several coders and the results are compared with the best machine results. The study is preceded by a summary of studies which compared human and machine performance in different visual and auditory recognition tasks. We discuss the results and derive a methodology in order to compare machine performance in multimedia annotation tasks at human level. This allows us to formally answer the question whether a recognition problem can be considered as solved. Finally, we are going to answer the initial question.
- ItemVariations of the aerosol chemical composition during Asian dust storm at Dushanbe, Tajikistan(Les Ulis : EDP Sciences, 2019) Fomba, Khanneh Wadinga; Müller, Konrad; Hofer, Julian; Makhmudov, Abduvosit N.; Althausen, Dietrich; Nazarov, Bahron I.; Abdullaev, Sabur F.; Herrmann, HartmutAerosol chemical composition was characterized during the Central Asian Dust Experiment (CADEX) at Dushanbe (Tajikistan). Aerosol samples were collected during a period of 2 months from March to May 2015 using a high volume DIGITEL DHA-80 sampler on quartz fiber filters. The filters were analyzed for their ionic, trace metals as well as organic and elemental carbon (OC/EC) content. The aerosol mass showed strong variation with mass concentration ranging from 18 μg/m3 to 110 μg/m3. The mineral dust concentrations varied between 0.9 μg/m3 and 88 μg/m3. Days of high aerosol mass loadings were dominated by mineral dust, which made up to about 80% of the aerosol mass while organic matter and inorganic ions made up about 70% of the aerosol mass during days of low aerosol mass loadings. The mineral dust composition showed different trace metal signatures in comparison to Saharan dust with higher Ca content and Ca/Fe ratios twice as high as that observed in Saharan dust. Strong influence of anthropogenic activities was observed in the trace metal concentrations with Zn and Pb concentrations ranging from 7 to 197 ng/m3 and 2 to 20 ng/m3, respectively. Mineral dust and anthropogenic activities relating to traffic, combustion as well as metallurgical industrial emissions are identified as the sources of the aerosol during this period. © 2019 The Authors, published by EDP Sciences.