@techreport{Vogel2020, author = {Vogel, Peter}, title = {Investieren unter Nebenbedingungen - Teil 4: Erg{\"a}nzung zu Teil 3}, publisher = {Hochschule D{\"u}sseldorf}, address = {D{\"u}sseldorf}, organization = {Hochschule D{\"u}sseldorf}, issn = {2567-2347}, doi = {10.20385/2567-2347/2020.4}, url = {http://nbn-resolving.de/urn:nbn:de:hbz:due62-opus-21206}, year = {2020}, abstract = {Der vierte Teil der Schriftenreihe "Trading" pr{\"a}sentiert eine statistische Auswertung von Kursdaten bei einer Haltefrist von einem Handelstag. Die Statistik beinhaltet Gewinnfaktor bzw. Rendite und Investitionsgrad aus Teil 1 sowie Volatilit{\"a}t, Chance, Risiko und Handelskosten, welche in Teil 3 eingef{\"u}hrt wurden. Kaufbedingungen werden wie in Teil 1 mit Hilfe des Kursverh{\"a}ltnisses an zwei aufeinander folgenden Handelstagen gebildet. Die Auswertung f{\"u}r den Markt FEBRDUSA_1 historischer Kursdaten liefert eine in sich schl{\"u}ssige Beschreibung des Einflussfaktors Kaufbedingung auf die k{\"u}nftige Kursentwicklung. Den gr{\"o}ßten Gewinn liefert eine Mean Reversion-Strategie, bei der die Chance deutlich {\"u}ber dem Risiko liegt. Da die Statistik die Begrenzung eingegangener Neuinvestitionen ber{\"u}cksichtigt, werden {\"U}bertreibungen vermieden, die einer arithmetischen Mittelwertbildung anhaften. Die statische Auswertung f{\"u}r einen mit Random Walks gebildeten Markt best{\"a}tigt, dass f{\"u}r diesen Fall keine Abh{\"a}ngigkeit von der Kaufbedingung besteht.}, language = {de} } @techreport{VogelBlaettermann2021, author = {Vogel, Peter and Bl{\"a}ttermann, Patrick}, title = {Investieren unter Nebenbedingungen - Teil 5: Auswahl von Aktien, Datenqualit{\"a}t und Statistik-Ergebnisse}, address = {D{\"u}sseldorf}, organization = {Hochschule D{\"u}sseldorf}, issn = {2567-2347}, url = {http://nbn-resolving.de/urn:nbn:de:hbz:due62-opus-28848}, year = {2021}, language = {de} } @article{VersuemerSteffensBlaettermannetal.2020, author = {Vers{\"u}mer, Siegbert and Steffens, Jochen and Bl{\"a}ttermann, Patrick and Becker-Schweitzer, J{\"o}rg}, title = {Modelling evaluations of low-level sounds in everyday situations using linear machine learning for variable selection}, series = {Frontiers in Psychology}, volume = {11}, journal = {Frontiers in Psychology}, publisher = {Frontiers}, issn = {1664-1078}, doi = {10.3389/fpsyg.2020.570761}, url = {http://nbn-resolving.de/urn:nbn:de:hbz:due62-opus-23779}, year = {2020}, language = {en} } @article{RyskeldievCohenHerder2018, author = {Ryskeldiev, Bektur and Cohen, Michael and Herder, Jens}, title = {StreamSpace: Pervasive Mixed Reality Telepresence for Remote Collaboration on Mobile Devices}, series = {Journal of Information Processing}, volume = {26}, journal = {Journal of Information Processing}, publisher = {J-STAGE}, doi = {10.2197/ipsjjip.26.177}, pages = {177 -- 185}, year = {2018}, abstract = {We present a system that exploits mobile rotational tracking and photospherical imagery to allow users to share their environment with remotely connected peers "on the go." We surveyed related interfaces and developed a unique groupware application that shares a mixed reality space with spatially-oriented live video feeds. Users can collaborate through realtime audio, video, and drawings in a virtual space. The developed system was tested in a preliminary user study, which confirmed an increase in spatial and situational awareness among viewers as well as reduction in cognitive workload. Believing that our system provides a novel style of collaboration in mixed reality environments, we discuss future applications and extensions of our prototype.}, subject = {Ubiquitous Computing}, language = {en} } @article{HamborgStraussBecketal.2009, author = {Hamborg, Kai-Christoph and Strauß, Friedrich and Beck, Astrid and Dahm, Markus and Heers, Rainer and Heinecke, Andreas M.}, title = {Ein neuer Standard f{\"u}r die Ausbildung im Fach Mensch-Computer-Interaktion}, series = {Informatik Spektrum}, volume = {32}, journal = {Informatik Spektrum}, number = {3}, publisher = {Springer}, doi = {10.1007/s00287-008-0322-5}, pages = {214 -- 222}, year = {2009}, language = {de} } @article{EurichKlenznerOehler2019, author = {Eurich, Bernhard and Klenzner, Thomas and Oehler, Michael}, title = {Impact of room acoustic parameters on speech and music perception among participants with cochlear implants}, series = {Hearing research}, volume = {377}, journal = {Hearing research}, publisher = {Elsevier}, doi = {10.1016/j.heares.2019.03.012}, pages = {122 -- 132}, year = {2019}, language = {en} } @inproceedings{TiatorBuentigGeiger2018, author = {Tiator, Marcel and B{\"u}ntig, Fabian and Geiger, Christian}, title = {Dynamic Movement Monitoring - Algorithms for Real Time Exercise Movement Feedback}, series = {Proceedings of the 4th International Conference on Information and Communication Technologies for Ageing Well and e-Health, Funchal, 22.03.2018 - 23.03.2018}, booktitle = {Proceedings of the 4th International Conference on Information and Communication Technologies for Ageing Well and e-Health, Funchal, 22.03.2018 - 23.03.2018}, publisher = {SCITEPRESS - Science and Technology Publications}, isbn = {978-989-758-299-8}, doi = {10.5220/0006735001840191}, pages = {184 -- 191}, year = {2018}, language = {en} } @inproceedings{TiatorGeigerGrimm2020, author = {Tiator, Marcel and Geiger, Christian and Grimm, Paul}, title = {Point Cloud Segmentation with Deep Reinforcement Learning}, series = {ECAI 2020: 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago De Compostela, Spain - Including 10th Conference on Prestigious Applications of Artificial Intellig}, booktitle = {ECAI 2020: 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago De Compostela, Spain - Including 10th Conference on Prestigious Applications of Artificial Intellig}, editor = {Dilkina, B. and Catala, A. and Giacomo, G. De}, publisher = {IOS Press}, isbn = {978-1-64368-100-9}, doi = {10.3233/FAIA200417}, url = {http://nbn-resolving.de/urn:nbn:de:hbz:due62-opus-30872}, pages = {2768 -- 2775}, year = {2020}, language = {en} } @inproceedings{vonBergPrinzSteffens2022, author = {von Berg, Markus and Prinz, Lukas and Steffens, Jochen}, title = {Comparing individual perception of timbre and reverberance}, address = {Gyeoungju, S{\"u}dkorea}, url = {http://nbn-resolving.de/urn:nbn:de:hbz:due62-opus-38706}, pages = {5}, year = {2022}, abstract = {Room reverberation alters the spatial impression and timbre of a sound by modulating its spectral and temporal characteristics. Thus, we argue that, on a perceptual level, reverberation basically breaks down into interaural differences and spectro-temporal cues and that the separation of a perceived timbre into a sound source and a surrounding room is a purely cognitive process. To investigate the connection between the perception of reverberation cues and timbre analysis, the sensitivity for changes in reverberation was compared to timbre perception abilities. The Timbre Perception Test was used to measure the perception of the temporal envelope, spectral centroid, and spectral flux of artificial sounds. Sensitivity for changes in reverberation time was tested with a discrimination task using speech and noise with speech-alike spectral and temporal envelopes as source signals. Musical and acoustical expertise was assessed through the Goldsmiths Musical Sophistication Index and self-reports on experience with and knowledge of acoustics. There was a considerable correlation between timbre and reverberance perception ability, but timbre perception and academic experience predicted only 41\% of the variance in reverberance perception. Still, perception abilities related to similar acoustical phenomena seem to be better indicators of listening skills than self-reports on acoustical or musical expertise.}, language = {en} } @inproceedings{HerderBuentigDaemenetal.2014, author = {Herder, Jens and B{\"u}ntig, Fabian and Daemen, Jeff and Lang, Jaroslaw and L{\"u}ck, Florian and S{\"a}ger, Mitja and S{\"o}rensen, Roluf and Hermanni, Markus and Vonolfen, Wolfgang}, title = {Subtle Animations using Talent Tracking in a Virtual (TV) Studio}, series = {17th International Conference on Human and Computer}, booktitle = {17th International Conference on Human and Computer}, address = {Hamamatsu/Aizu-Wakamatsu/Duesseldorf}, url = {http://nbn-resolving.de/urn:nbn:de:hbz:due62-opus-16009}, pages = {6}, year = {2014}, abstract = {Markerless talent tracking is widely used for interactions and animations within virtual environments. In a virtual (tv) studio talents could be overburden by interaction tasks because camera and text require extensive attention. We take a look into animations and inter- actions within a studio, which do not require any special attention or learning. We show the generation of an artificial shadow from a talent, which ease the keying process, where separation of real shadows from the background is a difficult task. We also demonstrate animations of footsteps and dust. Furthermore, capturing talents' height can also be used to adjust the parameters of elements in the virtual environment, like the position and scaling of a virtual display. In addition to the talents, a rigid body was tracked as placeholder for graphics, easing the interaction tasks for a talent. Two test productions show the possibilities, which subtle animations offer. In the second production, the rendering was improved (shadows, filtering, normal maps, ...) and instead of using the rigid body to move an object (a flag), the animation was only controlled by the hand's position.}, language = {en} }