5,739 research outputs found
Graphene zigzag ribbons, square lattice models and quantum spin chains
We present an extended study of finite-width zigzag graphene ribbons (ZGRs)
based on a tight-binding model with hard-wall boundary conditions. We provide
an exact analytic solution that clarifies the origin of the predicted width
dependence on the conductance through junctions of ribbons with different
widths. An analysis of the obtained solutions suggests a new description of
ZGRs in terms of coupled chains. We pursue these ideas further by introducing a
mapping between the ZGR model and the Hamiltonian for N-coupled quantum chains
as described in terms of 2N Majorana fermions. The proposed mapping preserves
the dependence of ribbon properties on its width thus rendering metallic
ribbons for N odd and zero-gap semiconductor ribbons for N even. Furthermore,
it reveals a close connection between the low-energy properties of the ZGR
model and a continuous family of square lattice model Hamiltonians with similar
width-dependent properties that includes the flux and the trivial square
lattice models. As a further extension, we show that this new description makes
it possible to identify various aspects of the physics of graphene ribbons with
those predicted by models of quantum spin chains (QSCs)
Correction: Vocal imitation of percussion sounds: On the perceptual similarity between imitations and imitated sounds
[This corrects the article DOI: 10.1371/journal.pone.0219955.]
Growth-related profiles of remanent flux in bulk melt-textured YBaCuO crystal magnetized by pulsed fields
We have studied the remanent magnetic flux distribution in bulk melt-textured
YBa2Cu3O7 (YBCO) crystals after their magnetization in quasi-static and pulsed
magnetic fields up to 6T. It has been shown that, provided that the magnetic
pulse is sharp enough and its amplitude much exceeds the twice penetration
magnetic field, the pulse magnetization technique becomes extremely sensitive
to the sample inhomogeneities. Using this method with appropriate parameters of
the magnetic pulse, we have particularly demonstrated that the growth of YBCO
crystals in the growth sectors (GSs) responds for a macroscopic arrangement of
weaks links -- they mostly appear inside of GSs, but not along the GS
boundaries.Comment: 8 pages in LaTeX2e, 5 figures. Revised version, submitted to
Supercond. Sci. Techno
Geolocation Adaptive Music Player
date-added: 2017-12-22 20:02:39 +0000 date-modified: 2017-12-22 20:05:50 +0000 keywords: adaptive music, intelligent music player, semantic audio, feature extraction bdsk-url-1: https://smartech.gatech.edu/bitstream/handle/1853/54586/WAC2016-47.pdfdate-added: 2017-12-22 20:02:39 +0000 date-modified: 2017-12-22 20:05:50 +0000 keywords: adaptive music, intelligent music player, semantic audio, feature extraction bdsk-url-1: https://smartech.gatech.edu/bitstream/handle/1853/54586/WAC2016-47.pdfWe present a web-based cross-platform adaptive music player that combines music information retrieval (MIR) and audio processing technologies with the interaction capabilities offered by GPS-equipped mobile devices. The application plays back a list of music tracks, which are linked to geographic paths in a map. The music player has two main enhanced features that adjust to the location of the user, namely, adaptable length of the songs and automatic transitions between tracks. Music tracks are represented as data packages containing audio and metadata (descriptive and behavioral) that builds on the concept of Digital Music Object (DMO). This representation, in line with nextgeneration web technologies, allows for exible production and consumption of novel musical experiences. A content provider assembles a data pack with music, descriptive analysis and action parameters that users can experience and control within the restrictions and templates defined by the provider
Piano Pedaller: A Measurement System for Classification and Visualisation of Piano Pedalling Techniques
date-added: 2017-12-22 18:53:42 +0000 date-modified: 2017-12-22 19:03:05 +0000 keywords: piano gesture recognition, optical sensor, real-time data acquisition, bela, music informatics local-url: https://pdfs.semanticscholar.org/fd00/fcfba2f41a3f182d2000ca4c05fb2b01c475.pdf publisher-url: http://homes.create.aau.dk/dano/nime17/ bdsk-url-1: http://www.nime.org/proceedings/2017/nime2017_paper0062.pdfdate-added: 2017-12-22 18:53:42 +0000 date-modified: 2017-12-22 19:03:05 +0000 keywords: piano gesture recognition, optical sensor, real-time data acquisition, bela, music informatics local-url: https://pdfs.semanticscholar.org/fd00/fcfba2f41a3f182d2000ca4c05fb2b01c475.pdf publisher-url: http://homes.create.aau.dk/dano/nime17/ bdsk-url-1: http://www.nime.org/proceedings/2017/nime2017_paper0062.pdfdate-added: 2017-12-22 18:53:42 +0000 date-modified: 2017-12-22 19:03:05 +0000 keywords: piano gesture recognition, optical sensor, real-time data acquisition, bela, music informatics local-url: https://pdfs.semanticscholar.org/fd00/fcfba2f41a3f182d2000ca4c05fb2b01c475.pdf publisher-url: http://homes.create.aau.dk/dano/nime17/ bdsk-url-1: http://www.nime.org/proceedings/2017/nime2017_paper0062.pdfdate-added: 2017-12-22 18:53:42 +0000 date-modified: 2017-12-22 19:03:05 +0000 keywords: piano gesture recognition, optical sensor, real-time data acquisition, bela, music informatics local-url: https://pdfs.semanticscholar.org/fd00/fcfba2f41a3f182d2000ca4c05fb2b01c475.pdf publisher-url: http://homes.create.aau.dk/dano/nime17/ bdsk-url-1: http://www.nime.org/proceedings/2017/nime2017_paper0062.pdfdate-added: 2017-12-22 18:53:42 +0000 date-modified: 2017-12-22 19:03:05 +0000 keywords: piano gesture recognition, optical sensor, real-time data acquisition, bela, music informatics local-url: https://pdfs.semanticscholar.org/fd00/fcfba2f41a3f182d2000ca4c05fb2b01c475.pdf publisher-url: http://homes.create.aau.dk/dano/nime17/ bdsk-url-1: http://www.nime.org/proceedings/2017/nime2017_paper0062.pdfThis paper presents the results of a study of piano pedalling techniques on the sustain pedal using a newly designed measurement system named Piano Pedaller. The system is comprised of an optical sensor mounted in the piano pedal bearing block and an embedded platform for recording audio and sensor data. This enables recording the pedalling gesture of real players and the piano sound under normal playing conditions. Using the gesture data collected from the system, the task of classifying these data by pedalling technique was undertaken using a Support Vector Machine (SVM). Results can be visualised in an audio based score following application to show pedalling together with the player’s position in the score
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