15 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

    Assessment of knowledge, attitude, and practices of biomedical waste management among health care workers in a tertiary care hospital, Chengalpattu, Tamilnadu, India

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    Introduction: Bio-medical waste (BMW) means any solid and/or liquid waste including its container and any intermediate product, which is generated during the diagnosis, treatment, or immunization of human beings or animals. Inadequate and inappropriate knowledge of handling healthcare waste may have serious health consequences and a significant impact on the environment. Thus, the study aims to assess the knowledge, attitude, and practice of biomedical waste management among healthcare workers from different strata in the hospital.  Methods: This was a cross-sectional study involving 383 participants conducted between June 2022 to October 2022, A structured, close-ended, self-administrated questionnaire was used to collect the data. The data were analyzed using R studio and presented as frequencies and percentages. The association between different variables was analyzed by the chi-square test.  Results: Most of the doctors (41.3%) and nurses (41.5%) had very good knowledge of Bio-Medical Waste Management (BMWM) but only 23.1% of laboratory technicians and housekeeping staff 18.2% showed very good knowledge. All the participants had a very good attitude (69.2% to 82.6%) towards BMWM but it needs some improvement concerning reporting needle stick injuries and taking Post-exposure prophylaxis (PEP). More than 80 % of participants were immunized against Hepatitis B and followed the appropriate practice of BMWM except for wearing adequate personal protective equipment (PPE) while handling BMW. Knowledge and good attitude were observed to increase with experience.  Conclusion: From the study, it is identified that knowledge regarding BMWM is inadequate among the healthcare professions. It is concluded that there should be adequate training among the HCWs about BMWM like video lectures, symposiums, quiz programs, and role play that can help them update their knowledge

    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

    A review of numerical and experimental studies of the anti-fairing

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    An anti-fairing is a concave deformation of the wall around a wing-body junction that can decrease the aerodynamic drag through the activation of a propulsive force generated by the interaction of the curved concave shape and the high-pressure region in proximity of the wing leading-edge. Although this mechanism is well understood, the dynamics of the interaction between the anti-fairing and the junction flow remain largely unexplored. This work brings together all the numerical and experimental studies of the anti-fairing to investigate its effect on turbulent quantities and the robustness of its design to changes to the incoming flow parameters, and to estimate the drag change with respect to a normal wing/flat-plate configuration. It is found that the interaction of the streamwise pressure gradient generated by the anti-fairing with the incoming boundary layer substantially reduces the shear responsible for viscous drag. Furthermore, no significant influence of the incoming boundary layer thickness on the anti-fairing performance is observed. However, a direct drag measurement with a force balance casts some doubts on the possibility to achieve large drag reductions.AerodynamicsFlight Performance and PropulsionWind EnergyTransport Engineering and Logistic

    On the Efficiency of Executing Hydro-environmental Models on Cloud

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    AbstractOptimizing high-performance computing applications requires understanding of both the application and its parallelization approach, the system software stack and the target architecture. Traditionally, performance tuning of parallel applications involves consideration of the underlying machine architecture, including floating point performance, memory hierarchies and bandwidth, interconnect architecture, data placement – among others. The shift to the utility computing model through cloud has created tempting economies of scale across IT and domains, not leaving HPC as an exception as a candidate beneficiary. Nevertheless, the infrastructure abstraction and multi-tenancy inherent to cloud offerings poses great challenges to HPC workloads, requiring a dedicated study of applicability of cloud computing as a viable time-to-solution and efficiency platform. In this paper, we present the evaluation of a widely used hydro-environmental code, EFDC, on a cloud platform. Specifically, we evaluate the target parallel application on Linux containers managed by Docker. Unlike virtualization- based solutions that have been widely used for HPC cloud explorations, containers are more fit-for-purpose, sporting among others native execution and lightweight resource consumption. Many-core capability is provided by the OpenMP library in a hybrid configuration with MPI for cross-node data movement, and we explore the combination of these in the target setup. For the MPI part, the work flow is implemented as a data-parallel execution model, with all processing elements performing the same computation, on different sub-domains with thread-level, fine-grain parallelism provided by OpenMP. Optimizing performance requires consideration of the overheads introduced by the OpenMP paradigm such as thread initialization and synchronization. Features of the application make it an ideal test case for deployment on modern cloud architectures, including that it: 1) is legacy code written in Fortran 77, 2) has an implicit solver requiring non-local communication that poses a challenge to traditional partitioning methods, communication optimization and scaling and, 3) is a legacy code across academia, research organizations, governmental agencies, and consulting firms. These technical and practical considerations make this study a representative assessment of migrating legacy codes from traditional HPC systems to the cloud. We finally discuss challenges that stem from the containerized nature of the platform; the latter forms another novel contribution of this paper
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