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1.
  • Abraham, Mark James, 1977-, et al. (author)
  • GROMACS: High performance molecular simulations through multi-level parallelism from laptops to supercomputers
  • 2015
  • In: SoftwareX. - : Elsevier. - 2352-7110. ; 1-2, s. 19-25
  • Journal article (peer-reviewed)abstract
    • GROMACS is one of the most widely used open-source and free software codes in chemistry, used primarily for dynamical simulations of biomolecules. It provides a rich set of calculation types, preparation and analysis tools. Several advanced techniques for free-energy calculations are supported. In version 5, it reaches new performance heights, through several new and enhanced parallelization algorithms. These work on every level; SIMD registers inside cores, multithreading, heterogeneous CPU–GPU acceleration, state-of-the-art 3D domain decomposition, and ensemble-level parallelization through built-in replica exchange and the separate Copernicus framework. The latest best-in-class compressed trajectory storage format is supported.
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3.
  • Adolfsson, Emma, 1977-, et al. (author)
  • CNV-Z; a new tool for detecting copy number variation in next generation sequencing data
  • 2023
  • In: SoftwareX. - : Elsevier. - 2352-7110. ; 24
  • Journal article (peer-reviewed)abstract
    • We developed an efficient approach to diagnostic copy number analysis of targeted gene panel or whole exome sequence (WES) data. Here we present CNV-Z as a new tool for detection of copy number variants (CNVs). Deletions and duplications of chromosomal regions are widely implicated in both genomic evolution and genetic disorders. However, calling CNVs from targeted or exome sequence data is challenging. In most cases, the copy number of a chromosomal region is estimated as the depth of reads mapping to a certain bin or sliding window divided by the expected number of reads derived from a set of reference samples. This approach will inevitably miss smaller CNVs on an irregular basis, and quite frequently results in a disturbing number of false positive CNVs. We developed an alternative approach to detect CNVs based on deviation from expected read depth per position, instead of region. Cautiously used, the cohort of samples in the same run will do as a reference. With appropriate filtering, given high quality DNA and a set of suitable reference samples, CNV-Z detects CNVs ranging in length from one nucleotide to an entire chromosome, with few false positives. Performance is proved by benchmarking using both in-house targeted gene panel NGS data and a publicly available NGS dataset, both sets with multiplex ligation-dependent amplification probe (MLPA) validated CNVs. The outcome shows that CNV-Z detects single- and multi-exonic CNVs with high specificity and sensitivity using different kind of NGS data. On gene level, CNV-Z shows both excellent sensitivity and specificity. Compared to competing CNV callers, CNV-Z shows higher specificity and positive predictive value for detecting exonic CNVs.
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4.
  • Ait-Mlouk, Addi, et al. (author)
  • DM-MCDA: A web-based platform for data mining and multiple criteria decision analysis : A case study on road accident
  • 2019
  • In: SoftwareX. - : Elsevier. - 2352-7110. ; 10
  • Journal article (peer-reviewed)abstract
    • Today's ultra-connected world is generating a huge amount of data stored in databases and cloud environment especially in the era of transportation. These databases need to be processed and analyzed to extract useful information and present it as a valid element for transportation managers for further use, such as road safety, shipping delays, and shipping optimization. The potential of data mining algorithms is largely untapped, this paper shows large-scale techniques such as associations rule analysis, multiple criteria analysis, and time series to improve road safety by identifying hot-spots in advance and giving chance to drivers to avoid the dangers. Indeed, we proposed a framework DM-MCDA based on association rules mining as a preliminary task to extract relationships between variables related to a road accident, and then integrate multiple criteria analysis to help decision-makers to make their choice of the most relevant rules. The developed system is flexible and allows intuitive creation and execution of different algorithms for an extensive range of road traffic topics. DM-MCDA can be expanded with new topics on demand, rendering knowledge extraction more robust and provide meaningful information that could help in developing suitable policies for decision-makers.
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5.
  • Almas, Muhammad Shoaib, et al. (author)
  • BabelFish—Tools for IEEE C37.118.2-compliant real-time synchrophasor data mediation
  • 2017
  • In: SoftwareX. - : Elsevier. - 2352-7110. ; 6, s. 209-216
  • Journal article (peer-reviewed)abstract
    • BabelFish (BF) is a real-time data mediator for development and fast prototyping of synchrophasor applications. BF is compliant with the synchrophasor data transmission IEEE Std C37.118.2-2011. BF establishes a TCP/IP connection with any Phasor Measurement Unit (PMU) or Phasor Data Concentrator (PDC) stream and parses the IEEE Std C37.118.2-2011 frames in real-time to provide access to raw numerical data in the LabVIEW environment. Furthermore, BF allows the user to select ‘‘data-of-interest’’and transmit it to either a local or remote application using the User Datagram Protocol (UDP) in order to support both unicast and multicast communication. In the power systems Wide Area Monitoring Protection and Control (WAMPAC) domain, BF provides the first Free/Libre and Open Source Software (FLOSS) for the purpose of giving the users tools for fast prototyping of new applications processing PMU measurements in their chosen environment, thus liberating them of time consuming synchrophasor data handling and allowing them to develop applications in a modular fashion, without a need of a large and monolithic synchrophasor software environment.
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6.
  • Annergren, Mariette, et al. (author)
  • MOOSE2—A toolbox for least-costly application-oriented input design
  • 2016
  • In: SoftwareX. - : Elsevier. - 2352-7110. ; 5, s. 96-100
  • Journal article (peer-reviewed)abstract
    • MOOSE2 is a MATLAB®-based toolbox for solving least-costly application-oriented input design problems in system identification. MOOSE2 provides the spectrum of the input signal to be used in the identification experiment made to estimate a linear parametric model of the system. The objective is to find a spectrum that minimizes experiment cost while fulfilling constraints imposed in the experiment and on the obtained model. The constraints considered by MOOSE2 are: frequency or power constraints on the signal spectra in the experiment, and application or quality specifications on the obtained model.
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7.
  • Baudette, Maxime, 1989-, et al. (author)
  • OpenIPSL : Open-Instance Power System Library - Update 1.5 to "iTesla Power Systems Library (iPSL): A Modelica library for phasor time-domain simulations"
  • 2018
  • In: Software Quality Professional. - : ELSEVIER SCIENCE BV. - 1522-0540. ; 7, s. 34-36
  • Journal article (peer-reviewed)abstract
    • This paper presents the latest improvements implemented in the Open-Instance Power System Library (OpenIPSL). The OpenIPSL is a fork from the original iTesla Power Systems Library (iPSL) by some of the original developers of the iPSL. This fork's motivation comes from the will of the authors to further develop the library with additional features tailored to research and teaching purposes. The enhancements include improvements to existing models, the addition of a new package of three phase models, and the implementation of automated tests through continuous integration.
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8.
  • Baudette, Maxime, 1989-, et al. (author)
  • The STRONgrid library : A modular and extensible software library for IEEE C37.118.2 compliant synchrophasor data mediation
  • 2018
  • In: Software Quality Professional. - : Elsevier. - 1522-0540. ; 7, s. 281-286
  • Journal article (peer-reviewed)abstract
    • The electric power grids expose highly dynamic behaviors that can be mitigated by exploiting Wide-Area Monitoring, Protection And Control (WAMPAC) technologies. These technologies rely on utilizing the synchrophasor measurements provided by the Phasor Measurement Units (PMUs). The IEEE C37.118.2 standard defines a method for real-time communication of synchrophasor data between PMUs, Phasor Data Concentrators (PDCs) and other applications. This paper describes the Smart Transmission Grid Operation and Control (STRONgrid) library, which serves as a real-time data mediator (i.e. interface) between the IEEE C37.118.2 protocol and applications consuming PMU measurements. The STRONgrid library packages all the necessary components to allow the researchers to focus on the development of synchrophasor applications in higher level programming environments (e.g. LabVIEW).
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9.
  • Bauer, Paul, et al. (author)
  • Q6 : A comprehensive toolkit for empirical valence bond and related free energy calculations
  • 2018
  • In: SoftwareX. - : Elsevier. - 2352-7110. ; 7, s. 388-395
  • Journal article (peer-reviewed)abstract
    • Atomistic simulations have become one of the main approaches to study the chemistry and dynamicsof biomolecular systems in solution. Chemical modelling is a powerful way to understand biochemistry,with a number of different programs available to perform specialized calculations. We present here Q6, anew version of the Q software package, which is a generalized package for empirical valence bond, linearinteraction energy, and other free energy calculations. In addition to general technical improvements, Q6extends the reach of the EVB implementation to fast approximations of quantum effects, extended solventdescriptions and quick estimation of the contributions of individual residues to changes in the activationfree energy of reactions.
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10.
  • Boito, Deneb, et al. (author)
  • Applying positivity constraints to q-space traj ectory imaging : The QTI plus implementation
  • 2022
  • In: SoftwareX. - : Elsevier. - 2352-7110. ; 18
  • Journal article (peer-reviewed)abstract
    • Diffusion MRI is a powerful technique sensitive to the microstructure of heterogeneous media. By relating the dMRI signal obtained via general gradient waveforms to the moments of an underlying diffusion tensor distribution, q-space trajectory imaging (QTI) provides several quantities indicative of the structural composition of the medium. Substantial improvements in the reliability of the produced estimates has been achieved via incorporating necessary positivity constraints in the estimation by employing Semidefinite Programming. Here we present the Matlab code implementing said constraints, provide a simple example showing the main functionalities of the package, and point to resources within the package that can be used to reproduce results recently published with this software. The block-based structure of our implementation allows the selection of steps to be performed, and facilitates the incorporation of new constraints in future releases.
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11.
  • Brimicombe, Chloe, et al. (author)
  • Thermofeel : A python thermal comfort indices library
  • 2022
  • In: SoftwareX. - : Elsevier. - 2352-7110. ; 18
  • Journal article (peer-reviewed)abstract
    • Here the development of the python library thermofeel is described. thermofeel was developed so that prominent internationally used thermal indices (i.e. Universal Thermal Climate Index and Wet Bulb Globe Temperature) could be implemented into operational weather forecasting systems (i.e. the European Centre for Medium Range Weather Forecasts) whilst also adhering to open research practices. This library will be of benefit to many sectors including meteorology, sport, health and social care, hygiene, agriculture and building. In addition, it could be used in heat early warning systems which, with the right preparedness measures, has the potential to save lives from thermal extremes.
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12.
  • Cording, Enzo, et al. (author)
  • FleetRL: Realistic reinforcement learning environments for commercial vehicle fleets
  • 2024
  • In: SoftwareX. - : Elsevier B.V.. - 2352-7110. ; 26
  • Journal article (peer-reviewed)abstract
    • Reinforcement Learning for EV charging optimization has gained significant academic attention in recent years, due to its ability to handle uncertainty, non-linearity, and real-time problem-solving. While the number of articles published on the matter has surged, the number of open-source environments for EV charging optimization remains small, and a research gap still exists when it comes to customizable frameworks for commercial vehicle fleets. To bridge the gap between research and real-world deployment of RL-based charging optimization, this paper introduces FleetRL as the first customizable RL environment for fleet charging optimization. Researchers and fleet operators can easily adapt the framework to fit their use-cases, and assess the impact of RL-based charging on economic feasibility, battery degradation, and operations.
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13.
  • El-khoury, Jad, 1975- (author)
  • Lyo code generator: A model-based code generator for the development of OSLC-compliant tool interfaces
  • 2016
  • In: SoftwareX. - : Elsevier. - 2352-7110.
  • Journal article (peer-reviewed)abstract
    • To promote the newly emerging OSLC (Open Services for Lifecycle Collaboration) tool interoperability standard, an open source code generator is developed that allows for the specification of OSLC-compliant tool interfaces, and from which almost complete Java code of the interface can be generated. The software takes a model-based development approach to tool interoperability, with the aim of providing modeling support for the complete development cycle of a tool interface. The software targets both OSLC developers, as well as the interoperability research community, with proven capabilities to be extended to support their corresponding needs.
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14.
  • Gómez, Francisco José, 1982-, et al. (author)
  • CIM-2-mod: A CIM to modelica mapping and model-2-model transformation engine
  • 2019
  • In: SoftwareX. - : Elsevier BV. - 2352-7110. ; 9, s. 161-167
  • Journal article (peer-reviewed)abstract
    • New requirement on power systems analysis tools consider information exchange for both steady-state and system dynamics information. New European regulations on information exchange power system dynamic simulations now require coordinating TSOs operations under different scenarios, some of which require to assess the dynamic behavior of power systems under a vast array of contingencies. As a mean to comply with these regulations and to advance the state-of-the-art, this work describes the software architecture of a Model-To-Model (M2M) transformation tool to create power system dynamic models using Modelica components by linking it to data from the Common Information Model (CIM). This software architecture is conceived to combine the CIM standard language with the Modelica standardized language, and to provide a Free/LibreOpen Source Software (FLOSS) CIM-compliant unambiguous power system modeling solution considering both steady-state and dynamic model representations of the electrical grid.
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15.
  • Hafner, Sasha, et al. (author)
  • STM : A software tool for predicting daily temperature in stored animal slurry
  • 2023
  • In: SoftwareX. - : Elsevier B.V.. - 2352-7110. ; 22
  • Journal article (peer-reviewed)abstract
    • Animal slurry (liquid manure) is a significant source of air pollution. Because the biological and chemical processes that drive emission are sensitive to temperature, there is a need for simple tools that can be used to predict the temperature of stored animal slurry for both emissions inventories and research. In this contribution we describe a heat transfer model and an open-source software implementation that addresses these limitations. The model is a simple mechanistic representation of the slurry-environment system, and the software includes a default parameter set developed from a combination of theory and fitting to measurements made at three concrete tanks in Sweden, and evaluated using measurements from two additional tanks. This contribution describes the model and software program and presents examples. © 2023 The Author(s)
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16.
  • Kiviluoma, Juha, et al. (author)
  • Spine Toolbox : A flexible open-source workflow management system with scenario and data management
  • 2022
  • In: SoftwareX. - : Elsevier BV. - 2352-7110. ; 17, s. 100967-100967
  • Journal article (peer-reviewed)abstract
    • The Spine Toolbox is open-source software for defining, managing, simulating and optimising energy system models. It gives the user the ability to collect, create, organise, and validate model input data, execute a model with selected data and finally archive and visualise results/output data. Spine Toolbox has been designed and developed to support the creation and execution of multivector energy integration models. It conveniently facilitates the linking of models with different scopes, or spatio-temporal resolutions, through the user interface. The models can be organised as a direct acyclic graph and efficiently executed through the embedded workflow management engine. The software helps users to import and manage data, define models and scenarios and orchestrate projects. It supports a self-contained and shareable entity-relationship data structure for storing model parameter values and the associated data. The software is developed using the latest Python environment and supports the execution of plugins. It is shipped in an installation package as a desktop application for different operating systems.
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17.
  • Mathur, Parul, et al. (author)
  • NDECOAX : A software package for nondestructive evaluation of stratified dielectric media
  • 2019
  • In: SoftwareX. - : Elsevier. - 2352-7110. ; 9, s. 187-192
  • Journal article (peer-reviewed)abstract
    • This article presents a software package based on the C++ language for accurate computation of material properties of a stratified media using an open ended coaxial probe (OECP). Since OECP is one of the most commonly used sensors for evaluation of materials today, the program developed can be customized for real time nondestructive evaluation of materials. The main contribution of this article is a computationally efficient software for solving an infinite domain integral with multiple singularities based on plane wave spectrum theory. The computed results for aperture admittance of the coaxial probe using the developed software show good agreement with both measurements and results from a commercial solver using the finite element method (FEM). It is also proved that, the execution time per frequency point of the developed code is much faster than FEM. (C) 2019 The Authors. Published by Elsevier B.V.
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18.
  • Millinger, Markus, 1984, et al. (author)
  • A model for cost- and greenhouse gas optimal material and energy allocation of biomass and hydrogen
  • 2022
  • In: SoftwareX. - : Elsevier BV. - 2352-7110. ; 20
  • Journal article (peer-reviewed)abstract
    • BENOPT, an optimal material and energy allocation model is presented, which is used to assess cost-optimal and/or greenhouse gas abatement optimal allocation of renewable energy carriers across power, heat and transport sectors. A high level of detail on the processes from source to end service enables detailed life-cycle greenhouse gas and cost assessments. Pareto analyses can be performed, as well as thorough sensitivity analyses. The model is designed to analyse optimal biomass and hydrogen usage, as a complement to integrated assessment and power system models.
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20.
  • Mukha, Timofey, et al. (author)
  • Eddylicious : A Python package for turbulent inflow generation
  • 2018
  • In: SoftwareX. - : Elsevier B.V.. - 2352-7110. ; 7, s. 112-114
  • Journal article (peer-reviewed)abstract
    • A Python package for generating inflow for scale-resolving computer simulations of turbulent flow is presented. The purpose of the package is to unite existing inflow generation methods in a single code-base and make them accessible to users of various Computational Fluid Dynamics (CFD) solvers. The currently existing functionality consists of an accurate inflow generation method suitable for flows with a turbulent boundary layer inflow and input/output routines for coupling with the open-source CFD solver OpenFOAM. 
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21.
  • Nordstrand, Johan, et al. (author)
  • ELC: Software and tutorial for finite-element modeling of electrochemical desalination
  • 2022
  • In: SoftwareX. - : Elsevier BV. - 2352-7110. ; 20
  • Journal article (peer-reviewed)abstract
    • Many works in capacitive deionization (CDI) use finite-element (FEM) simulations to investigate process behavior. Here, we present ELC, comprehensive software that integrates these methods with COMSOL Multiphysics. It can save significant time for common research questions in CDI operations and is well-suited for new research questions in complex and upscaled device designs. The ELC software has already been used for the simulation of time-varying desalination output, charge leakages, bipolar electrode devices, and stacks of over 100 CDI cells. Finally, we provide a video tutorial on how to use the software. In conclusion, ELC could be a strong software for aiding current and future research in electrochemical desalination.
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22.
  • Nordström, Johan, 1992-, et al. (author)
  • A GPU code for analytic continuation through a sampling method
  • 2016
  • In: SoftwareX. - : Elsevier. - 2352-7110. ; 5, s. 178-182
  • Journal article (peer-reviewed)abstract
    • We here present a code for performing analytic continuation of fermionic Green’s functions and self-energies as well as bosonic susceptibilities on a graphics processing unit (GPU). The code is based on the sampling method introduced by Mishchenko et al. (2000), and is written for the widely used CUDA platform from NVidia. Detailed scaling tests are presented, for two different GPUs, in order to highlight the advantages of this code with respect to standard CPU computations. Finally, as an example of possible applications, we provide the analytic continuation of model Gaussian functions, as well as more realistic test cases from many-body physics.
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23.
  • Oikonomou, George, et al. (author)
  • The Contiki-NG open source operating system for next generation IoT devices
  • 2022
  • In: SoftwareX. - : Elsevier B.V.. - 2352-7110. ; 18
  • Journal article (peer-reviewed)abstract
    • Contiki-NG (Next Generation) is an open source, cross-platform operating system for severely constrained wireless embedded devices. It focuses on dependable (reliable and secure) low-power communications and standardised protocols, such as 6LoWPAN, IPv6, 6TiSCH, RPL, and CoAP. Its primary aims are to (i) facilitate rapid prototyping and evaluation of Internet of Things research ideas, (ii) reduce time-to-market for Internet of Things applications, and (iii) provide an easy-to-use platform for teaching embedded systems-related courses in higher education. Contiki-NG started as a fork of the Contiki OS and retains many of its original features. In this paper, we discuss the motivation behind the creation of Contiki-NG, present the most recent version (v4.7), and highlight the impact of Contiki-NG through specific examples. © 2022 The Authors
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24.
  • Rubensson, Emanuel H., et al. (author)
  • The Chunks and Tasks Matrix Library
  • 2022
  • In: SoftwareX. - : Elsevier. - 2352-7110. ; 19
  • Journal article (peer-reviewed)abstract
    • We present a C++ header-only parallel sparse matrix library, based on sparse quadtree representation of matrices using the Chunks and Tasks programming model. The library implements a number of sparse matrix algorithms for distributed memory parallelization that are able to dynamically exploit data locality to avoid movement of data. This is demonstrated for the example of block-sparse matrix-matrix multiplication applied to three sequences of matrices with different nonzero structure, using the CHT-MPI 2.0 runtime library implementation of the Chunks and Tasks model. The runtime library succeeds to dynamically load balance the calculation regardless of the sparsity structure.
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25.
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26.
  • Scheffel, Jan, 1954-, et al. (author)
  • SIR—An efficient solver for systems of equations
  • 2018
  • In: Software Quality Professional. - : Elsevier B.V.. - 1522-0540. ; 7, s. 59-62
  • Journal article (peer-reviewed)abstract
    • The Semi-Implicit Root solver (SIR) is an iterative method for globally convergent solution of systems of nonlinear equations. We here present MATLAB and MAPLE codes for SIR, that can be easily implemented in any application where linear or nonlinear systems of equations need be solved efficiently. The codes employ recently developed efficient sparse matrix algorithms and improved numerical differentiation. SIR convergence is quasi-monotonous and approaches second order in the proximity of the real roots. Global convergence is usually superior to that of Newton's method, being a special case of the method. Furthermore the algorithm cannot land on local minima, as may be the case for Newton's method with line search. 
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28.
  • Ternström, Sten, 1956-, et al. (author)
  • FonaDyn - A system for real-time analysis of the electroglottogram, over the voice range
  • 2018
  • In: Software Quality Professional. - : Elsevier BV. - 1522-0540. ; 7, s. 74-80
  • Journal article (peer-reviewed)abstract
    • From soft to loud and low to high, the mechanisms of human voice have many degrees of freedom, making it difficult to assess phonation from the acoustic signal alone. FonaDyn is a research tool that combines acoustics with electroglottography (EGG). It characterizes and visualizes in real time the dynamics of EGG waveforms, using statistical clustering of the cycle-synchronous EGG Fourier components, and their sample entropy. The prevalence and stability of different EGG waveshapes are mapped as colored regions into a so-called voice range profile, without needing pre-defined thresholds or categories. With appropriately ‘trained’ clusters, FonaDyn can classify and map voice regimes. This is of potential scientific, clinical and pedagogical interest.
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29.
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30.
  • Ternström, Sten, 1956- (author)
  • Update 3.1 to FonaDyn : A system for real-time analysis of the electroglottogram, over the voice range
  • 2024
  • In: SoftwareX. - : Elsevier BV. - 2352-7110. ; 26
  • Journal article (peer-reviewed)abstract
    • The human voice is notoriously variable, and conventional measurement paradigms are weak in terms of providing evidence for effects of treatment and/or training of voices. New methods are needed that can take into account the variability of metrics and types of phonation across the voice range. The “voice map” is a generalization of the Voice Range Profile (a.k.a. the phonetogram), with the potential to be used in many ways, for teaching, training, therapy and research. FonaDyn is intended as a proof-of concept workbench for education and research on phonation, and for exploring and validating the analysis paradigm of voice-mapping. Version 3.1 of the FonaDyn system adds many new functions, including listening from maps; displaying multiple maps and difference maps to track effects of voice interventions; smoothing/interpolation of voice maps; clustering not only of EGG shapes but also of acoustic and EGG metrics into phonation types; extended multichannel acquisition;24-bit recording with optional max 140 dB SPL; a built-in SPL calibration and signal diagnostics tool; EGG noise suppression; more Matlab integration; script control; the acoustic metrics Spectrum Balance, Cepstral Peak Prominence and Harmonic Richness Factor (of the EGG); and better window layout control. Stability and usability are further improved. Apple M-series processors are now supported natively.
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31.
  • Tudisco, Erika, et al. (author)
  • TomoWarp2 : A local digital volume correlation code
  • 2017
  • In: SoftwareX. - : Elsevier BV. - 2352-7110. ; 6, s. 267-270
  • Journal article (peer-reviewed)abstract
    • TomoWarp2 is a Python based code that allows full-field vector displacements to be measured between 2D or 3D image sets, based on a local approach of Digital Image Correlation. These displacements can be used to calculate the complete 2D or 3D strain tensor field to study, for example, heterogeneous deformation responses of materials during loading. The code is provided with a GUI, and can handle different input and output formats. Moreover, new features can be implemented with the flexible code architecture.
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32.
  • Vanfretti, L., et al. (author)
  • Audur—A platform for synchrophasor-based power system wide-area control system implementation
  • 2018
  • In: Software Quality Professional. - : Elsevier. - 1522-0540. ; 7, s. 294-301
  • Journal article (peer-reviewed)abstract
    • Electrical power systems continue to grow in size and complexity, resulting in new challenges to control and stabilize them. Measurement based Wide-Area Control Systems (WACS) have been extensively researched in the last decade to enhance power system stability. However, very few WACS implementations in the field have been carried out so far. To bridge this gap the LabVIEW package, Audur, presented in this paper, allows users to easily implement their custom WACS design on a National Instruments hardware platform. The hardware controller receives synchrophasor measurements compliant with the IEEE C37.118.2 protocol and generates a control signal that, in principle, can be configured as a supplementary control system to drive any active component in the power system.
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33.
  • Vanfretti, Luigi, et al. (author)
  • iTesla Power Systems Library (iPSL) : A Modelica library for phasor time-domain simulations
  • 2016
  • In: SoftwareX. - : Elsevier. - 2352-7110.
  • Journal article (peer-reviewed)abstract
    • The iTesla Power Systems Library (iPSL) is a Modelica package providing a set of power system components for phasor time-domain modeling and simulation. The Modelica language provides a systematic approach to develop models using a formal mathematical description, that uniquely specifies the physical behavior of a component or the entire system. Furthermore, the standardized specification of the Modelica language (Modelica Association [1]) enables unambiguous model exchange by allowing any Modelica-compliant tool to utilize the models for simulation and their analyses without the need of specific mediator. As the Modelica language is being developed with open specifications, any tool that implements these requirements can be utilized. This gives users the freedom of choosing an Integrated Development Environment (IDE) of their choice. Furthermore, any integration solver can be implemented to simulate Modelica models. Additionally, Modelica is an object-oriented language, enabling code factorization and model re-use to improve the readability of a library by structuring it with object-oriented hierarchy. The developed library is released under an open source license to enable a wider distribution and let the user customize it to their specific needs.
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34.
  • Vanfretti, Luigi, 1981-, et al. (author)
  • RaPId: A modular and extensible toolbox for parameter estimation of Modelica and FMI compliant models
  • 2016
  • In: SoftwareX. - : Elsevier. - 2352-7110. ; 5, s. 144-149
  • Journal article (peer-reviewed)abstract
    • This paper describes the Rapid Parameter Identification toolbox (RaPId), developed within the EU FP7 iTesla project. The toolbox was designed to carry out parameter identification on models developed using the Modelica language, focusing in particular on power system model identification needs. The toolbox has been developed with modularity and extensibility in mind, using Matlab/Simulink as a plug-in environment, where different tasks of the identification process are carried out. The identification process uses different optimization algorithms to improve the fitting of the model’s response to selected criteria. The modular architecture of RaPId gives users complete freedom to extend and adapt the software to their needs, e.g. to implement or link external solvers for simulation or optimization. The compatibility with Modelica models is brought by the use of technologies compliant with the Functional Mock-up Interface (FMI) standard.
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