25 research outputs found

    Bol Processor BP2

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    Bol Processor 2 (BP2) is a music composition/improvisation software producing arrangements of sound-objects with a set of rules similar to formal grammars. The inference engine produces strings of symbols feeding an algorithm for the expansion of (polymetric) polyphonic/polyrhythmic structures, and ultimately a time-setting algorithm dealing with constraints on sound-objects. First interfaced with MIDI and Csound, BP2 has a great potential for modelling durations and melodic patterns in speech synthesis.Link on SourceForge: http://bolprocessor.sourceforge.netBol Processor 2 (BP2) es uno software de composición y improvisación de música producir arreglos de sonido de objetos con un conjunto de normas similares a las gramáticas formales. El motor de inferencia produce cadenas de símbolos que alimente un algoritmo para la expansión de (polimétrico) polifónicos/polirrítmica estructuras, y en última instancia, un algoritmo de establecimiento de tiempo de hacer frente a las limitaciones en el sonido-objetos. En primer lugar interconectado con MIDI y Csound, BP2 tiene un gran potencial para el modelado de las duraciones y los patrones melódicos en la síntesis de voz.Enlace en SourceForge: http://bolprocessor.sourceforge.netBol Processor 2 (BP2) est un logiciel de composition/improvisation générant des structures d'objets sonores à partir d'un ensemble de règles similaires à celles des grammaires formelles. Le moteur d'inférence produit des chaînes de symboles auxquelles sont appliquées un algorithme d'expansion de structures polyphoniques/polyrythmiques (polymetriques), puis un algorithme de temporalisation utilisant des contraintes sur les objets sonores. Interfacé à l'origine avec MIDI et Csound, BP2 peut être utilisé pour modéliser les durées et les formes mélodiques en synthèse de la parole.Lien sur SourceForge : http://bolprocessor.sourceforge.netBEL, B. Acquisition et représentation de connaissances en musique. Thèse de Doctorat en Sciences (nouveau régime) : Université de Droit, d'Economie et des Sciences d'Aix-Marseille III. Sous la direction de M. Alain Guénoche. Novembre 1990. Paris: EDILIVRES. 2008http://tel.archives-ouvertes.fr/tel-0000969

    God on the hill and other stories

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    What makes this book poignant and relevant is the counterpoint to archaeological narratives it posits. Though archaeologists tell us that these megalithic dolmens, menhirs and the like were funerary or commemorative structures, local villagers near the monuments insist that they were the houses of a now-extinct race of dwarves called Moriyas. The stories in this collection are inspired by actual monuments and sites in India. As architect-author Srikumar M Menon went along collecting data about the monuments, he could not help collecting stories too. Srikumar’s stories also draw attention to outdated theories on the development of disciplines such as the ‘history of architecture’. Legislation and barbed wire fencing are grossly inadequate to protect these primitive monuments that our prehistoric ancestors built

    LES of a novel wing/body junction : Anti-fairing

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    Large Eddy Simulations (LES) of a novel type of wing/body junction called the anti-fairing are performed in the current thesis to study the complex turbulent flow physics involved in the junction area and also to obtain a clear understanding of the drag reduction capabilities of the anti-fairing. In regards to that, two separate LES are performed: one for the baseline case with a Rood wing/flat plate combination and another with the Rood wing/anti-fairing combination. A detailed comparative study is performed between the two cases to observe important differences in junction flow characteristics. Both the simulations are performed on a 25 million immersed boundary Cartesian mesh by solving the incompressible Navier-Stokes equations using the in-house finite volume LES solver called INCA. Results from the LES study confirms the existence of the propulsive pressure mechanism of drag reduction for the anti-fairing case, previously proposed by Belligoli et al. However, the results also show that there exists a secondary drag reduction mechanism caused by a combination of increase in approach boundary layer momentum thickness and dampening of the turbulence associated with the horseshoe vortex (HSV) upstream of the wing. This secondary mechanism has been found to be caused by the convex dent present at the start of the anti-fairing geometry. The total drag reduction for the anti-fairing case comes out to be 1.8%. A new parameter called junction drag is defined which accounts for the drag only due to the presence of a junction. The reduction in junction drag obtained for the anti-fairing case is about 6.8%. Apart from the LES analysis, a RANS analysis has also been performed to further investigate the drag reduction capabilities of anti-fairing for different approach boundary layer thicknesses and anti-fairing depths. All the RANS analysis have been performed on a 5 million body-fitted mesh by solving the incompressible Navier-Stokes using the open source finite-volume solver OpenFOAM. Results from the RANS analysis indicate that there exists an optimum depth for the anti-fairing which corresponds to the least drag. Furthermore, it is found that the effect of approach boundary layer thickness is mostly on changing the base drag of the case where no anti-fairing is present, rather than actually affecting the performance of the anti-fairing at different depths.Aerospace Engineerin

    Re3: A Holistic Framework and Dataset for Modeling Collaborative Document Revision

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    Collaborative review and revision of textual documents is the core of knowledge work and a promising target for empirical analysis and NLP assistance. Yet, a holistic framework that would allow modeling complex relationships between document revisions, reviews and author responses is lacking. To address this gap, we introduce Re3, a framework for joint analysis of collaborative document revision. We instantiate this framework in the scholarly domain, and present Re3-Sci, a large corpus of aligned scientific paper revisions manually labeled according to their action and intent, and supplemented with the respective peer reviews and human-written edit summaries. We use the new data to provide first empirical insights into collaborative document revision in the academic domain, and to assess the capabilities of state-of-the-art LLMs at automating edit analysis and facilitating text-based collaboration. We make our annotation environment and protocols, the resulting data and experimental code publicly available

    The Abodes of Lord Bahubali

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    GOMMATA TRAIL. Even as preparations are on for the Mahamastabhisheka ceremony to be held in Shravanabelagola in February 2018, the author describes various historical statues and sculptures of Gommateshwara in Karnatak

    Wall-Resolved Large Eddy Simulation of a Wing-Body Junction: High-Fidelity Data Generation for Data-Driven Turbulence Modelling

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    A wall-resolved Large Eddy Simulation (LES) of a wing-body junction is performed. The aim is to generate high-fidelity junction flow data to be used in a data-driven turbulence modelling approach, specifically to improve the accuracy of RANS-simulations in junction flows. The simulation is performed on a 61.5 million C-grid body fitted mesh in the pimpleFoam solver of OpenFOAM, with a turbulent channel flow precursor providing the unsteady inlet boundary condition. Analysis of the wall-resolved LES shows that the simulation accurately captures the complex flow phenomena in the wing-body junction flow including intermittency for the present inflow condition. Comparisons of the wall-resolved LES with a coarse-grid RANS simulation and the wall-modelled LES of Srikumar [2019] show that the wall-resolved LES in the present study is an improvement over the other two numerical methods. Most notably, an improvement in terms of the prediction of the location and magnitude of the mean spanwise vorticity and the mean turbulent kinetic energy of the horseshoe vortex systems was observed. Especially the RANS-simulation was unable to accurately capture the complex flow physics in the junction due to the limitations of RANS-methods, which are unable to accurately capture Reynolds stress anisotropy due to the Boussinesq hypothesis. An analysis of the high-fidelity junction flow data was performed to indicate regions where the Boussinesq hypothesis breaks down. The most notable region where the Boussinesq hypothesis was found to be not valid, was the region in close proximity to the wing-body junction upstream of the wing. Due to the breakdown of the Boussinesq hypothesis in the junction region, significant improvements of the accuracy of junction flow RANS-simulations can potentially be achieved by using the high-fidelity data from the present study in a data-driven turbulence modelling approach.Aerospace Engineerin

    Demonstration of ion channel synthesis by isolated squid giant axon provides functional evidence for localized axonal membrane protein translation

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    © 2018 The Author(s). Local translation of membrane proteins in neuronal subcellular domains like soma, dendrites and axon termini is well-documented. In this study, we isolated the electrical signaling unit of an axon by dissecting giant axons from mature squids (Dosidicus gigas). Axoplasm extracted from these axons was found to contain ribosomal RNAs, ~8000 messenger RNA species, many encoding the translation machinery, membrane proteins, translocon and signal recognition particle (SRP) subunits, endomembrane-associated proteins, and unprecedented proportions of SRP RNA (~68% identical to human homolog). While these components support endoplasmic reticulum-dependent protein synthesis, functional assessment of a newly synthesized membrane protein in axolemma of an isolated axon is technically challenging. Ion channels are ideal proteins for this purpose because their functional dynamics can be directly evaluated by applying voltage clamp across the axon membrane. We delivered in vitr
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