{"results":[{"id":"doaj_10.1051/aacus/2026013","title":"A lexicon to describe specific sounds of the electric car cabin: A verbal approach to comfort improvement","authors":[{"name":"Duroyon Matthieu"},{"name":"Susini Patrick"},{"name":"Misdariis Nicolas"},{"name":"Dauchez Nicolas"},{"name":"Pardo Louis-Ferdinand"},{"name":"Vialatte Eléonore"}],"abstract":"Electric vehicles are now part of the everyday automotive landscape. The resulting sonic experience is a major challenge for driver comfort. Despite this challenge being known, no solution reaching general consensus has yet been proposed. This might be due to the lack of a common culture of the sound or the expected sonic target in electric vehicles, in opposition to what existed for thermal engine. This work proposes a decisive tool to enhance communication on sound description in the electric car cabin. Inspired by soundscape studies, the methodology consists in using a semi-structured questionnaire oriented toward sound description and judgment with 12 acousticians working on electric vehicles. A verbal analysis identifies 11 specific sound names describing this sonic environment. Definitions that include three levels of description: causal, reduced and hedonic as well as audio illustrations, are proposed for each sound name. The lexicon is validated by the same group of acousticians and available online.","source":"DOAJ","year":2026,"language":"","subjects":["Acoustics in engineering. Acoustical engineering","Acoustics. Sound"],"doi":"10.1051/aacus/2026013","url":"https://acta-acustica.edpsciences.org/articles/aacus/full_html/2026/01/aacus250037/aacus250037.html","is_open_access":true,"published_at":"","score":70},{"id":"arxiv_2602.08015","title":"Bridging the Gap: Adapting Evidence to Decision Frameworks to support the link between Software Engineering academia and industry","authors":[{"name":"Patricia G. F. Matsubara"},{"name":"Tayana Conte"}],"abstract":"Over twenty years ago, the Software Engineering (SE) research community have been involved with Evidence-Based Software Engineering (EBSE). EBSE aims to inform industrial practice with the best evidence from rigorous research, preferably from systematic literature reviews (SLRs). Since then, SE researchers have conducted many SLRs, perfected their SLR procedures, proposed alternative ways of presenting their results (such as Evidence Briefings), and profusely discussed how to conduct research that impacts practice. Nevertheless, there is still a feeling that SLRs' results are not reaching practitioners. Something is missing. In this vision paper, we introduce Evidence to Decision (EtD) frameworks from the health sciences, which propose gathering experts in panels to assess the existing best evidence about the impact of an intervention in all relevant outcomes and make structured recommendations based on them. The insight we can leverage from EtD frameworks is not their structure per se but all the relevant criteria for making recommendations to practitioners from SLRs. Furthermore, we provide a worked example based on an SE SLR. We also discuss the challenges the SE research and practice community may face when adopting EtD frameworks, highlighting the need for more comprehensive criteria in our recommendations to industry practitioners.","source":"arXiv","year":2026,"language":"en","subjects":["cs.SE"],"url":"https://arxiv.org/abs/2602.08015","pdf_url":"https://arxiv.org/pdf/2602.08015","is_open_access":true,"published_at":"2026-02-08T15:30:19Z","score":70},{"id":"doaj_10.1051/aacus/2025002","title":"Ultrasonic wave field image augmentation in PZT sensors using generative machine learning and Coulomb coupling","authors":[{"name":"Banerjee Pragyan"},{"name":"Ojha Shivam"},{"name":"Kalimullah Nur M. M."},{"name":"Shelke Amit"},{"name":"Habib Anowarul"}],"abstract":"This paper presents an approach to overcome the time-intensive nature of the Coulomb coupling imaging method by employing Generative Adversarial Networks (GANs) for data augmentation. Coulomb coupling, an experimental technique, is essential for visualizing ultrasonic wave propagation in piezoelectric materials and is valuable in various domains including materials research. It provides valuable insights such as finding mechanical properties and detecting anomalies in piezoelectric materials. However, the efficiency of this method is hindered by traditional time expansive point-by-point scanning. Integrating advanced machine learning into Coulomb coupling imaging has emerged as a promising solution to address this issue. Nonetheless, the lack of sufficient data has been a significant challenge. The key contribution is the use of GANs to create synthetic yet realistic images from a limited set of real data, effectively overcoming the issue of data scarcity. A large number of artificial images were successfully generated, expediting model training and enhancing generalization. This study is the first to use GANs in Coulomb coupling imaging, showing its transformative potential. By overcoming data limitations, the proposed approach enhances Coulomb coupling imaging and enables its integration with advanced technologies like AI-driven predictive modeling and real-time adaptive imaging. This opens new frontiers for applications in materials science and other imaging modalities.","source":"DOAJ","year":2025,"language":"","subjects":["Acoustics in engineering. Acoustical engineering","Acoustics. Sound"],"doi":"10.1051/aacus/2025002","url":"https://acta-acustica.edpsciences.org/articles/aacus/full_html/2025/01/aacus240115/aacus240115.html","is_open_access":true,"published_at":"","score":69},{"id":"doaj_10.1051/aacus/2025027","title":"Sound model of an acoustic improved air to water heat pump","authors":[{"name":"Schmidt Thorsten"},{"name":"Müller Dirk"}],"abstract":"Heat pumps represent an essential component of the energy transition. While they are effective in generating heat, they also generate sound, which has the potential to cause annoyance. Therefore, it is essential to enhance the transparency of the sound behavior. Analyses were performed to identify the factors that influence sound levels at the component and system levels. A total of three refrigerant compressors were examined with the objective of determining the most acoustically efficient components currently available and the key factors influencing acoustics. Two low-noise axial fans are used to illustrate the differing sound characteristics when used in a heat pump application. Based on component tests and measurements at the heat pump system level, the speeds of the compressor and fan were confirmed as significant factors influencing the sound emissions of air-to-water heat pumps. In addition, the flow temperature and the operating point of the fan were identified as factors influencing. The results were employed to develop an acoustically improved heat pump demonstrator, which was based on a representative design. A sound model could be developed that is capable of describing the sound behavior for a wide range of operating conditions. This methodology allows for increased transparency in sound behavior. Different sound behaviors of heat pumps can be demonstrated on the basis of the model, and discussions on the definition of maximum sound specifications can be held on the basis of data. Sound emissions should not only be linked to heat output, as this increases the uncertainty of comparability. A transparent representation of the speeds is strongly recommended.","source":"DOAJ","year":2025,"language":"","subjects":["Acoustics in engineering. Acoustical engineering","Acoustics. Sound"],"doi":"10.1051/aacus/2025027","url":"https://acta-acustica.edpsciences.org/articles/aacus/full_html/2025/01/aacus250016/aacus250016.html","is_open_access":true,"published_at":"","score":69},{"id":"doaj_10.1051/aacus/2025042","title":"The Institute of Sound and Vibration Research: contributions to the development of European acoustics in the 20th Century","authors":[{"name":"Thompson David J."},{"name":"Elliott Stephen J."},{"name":"Morfey Chris L."},{"name":"Dixon John"},{"name":"Ferguson Neil S."},{"name":"White Robert G."},{"name":"Rice Chris G."},{"name":"Cullington Helen E."},{"name":"Toward Martin G. R."},{"name":"White Paul R."},{"name":"Lower Mike C."}],"abstract":"The Institute of Sound and Vibration Research (ISVR) at the University of Southampton was founded in 1963 from the Aeronautics Department. It grew rapidly into a leading centre for noise and vibration, combining research, teaching and consultancy. Although the initial focus was on the noise from aircraft and on their vibration-induced structural fatigue, there was already a recognition of the wider issues of sound in society and its subjective and medical effects. Consequently, the research interests of the ISVR quickly expanded to include aeroacoustics, automotive noise, structural dynamics, vibroacoustics, human responses to sound and vibration, data analysis and signal processing, active control, underwater acoustics and railway noise and vibration. The ISVR was a pioneer of university-industry collaboration, having many faculty positions that were supported by industrial funding as well as a strong consultancy activity. Unusual for an engineering department, teaching and research in clinical audiology featured strongly, and led to the establishment of a Cochlear Implant Centre in 1990. The paper gives a review of achievements of the ISVR in the 20th Century, identifying some of the main researchers and engineers who have inspired and guided its activities.","source":"DOAJ","year":2025,"language":"","subjects":["Acoustics in engineering. Acoustical engineering","Acoustics. Sound"],"doi":"10.1051/aacus/2025042","url":"https://acta-acustica.edpsciences.org/articles/aacus/full_html/2025/01/aacus250023/aacus250023.html","is_open_access":true,"published_at":"","score":69},{"id":"doaj_10.1051/aacus/2025050","title":"An outdoor-to-indoor sound propagation modelling framework for evaluating noise exposure applications","authors":[{"name":"Terzakis Michail Evangelos"},{"name":"Van hoorickx Cédric"},{"name":"Hornikx Maarten"}],"abstract":"Environmental noise exposure has shown to have significant negative effects on people’s lives. In noise exposure studies, outdoor noise levels are usually preferred over indoor levels for investigating exposure-response relationships, introducing a systematic risk of bias. Hence, an outdoor-to-indoor sound propagation modelling framework is defined for estimating indoor noise levels based on outdoor levels. Particularly, by expressing outdoor and indoor sound propagation via energetic models and façade (multi-component and multi-layered) structures via computational sound insulation models (Transfer Matrix Method), outdoor-based indoor impulse responses can be generated. To validate the framework, a case study was conducted, showing that measured and simulated sound insulation were in good agreement. Finally, this framework was applied to generate datasets of outdoor and indoor noise levels (noise indicators) based on scenarios of outdoor environment, indoor environment, and façade structures. This allows the training of statistical learning approaches for estimating indoor noise levels and identifying important predictors. Results show that a random-forest approach outperforms a stepwise and a neural network approach across all the employed noise indicators (RMSE \u003c  2 dB). These models enable the estimation of indoor sound exposure levels based on outdoor levels as well as the exploration of exposure-response relationships in locations with known built environment characteristics.","source":"DOAJ","year":2025,"language":"","subjects":["Acoustics in engineering. Acoustical engineering","Acoustics. Sound"],"doi":"10.1051/aacus/2025050","url":"https://acta-acustica.edpsciences.org/articles/aacus/full_html/2025/01/aacus250070/aacus250070.html","is_open_access":true,"published_at":"","score":69},{"id":"doaj_10.1051/aacus/2025063","title":"LVA @ INSA Lyon: half a century of research and teaching in vibration and acoustic engineering","authors":[{"name":"Antoni Jérôme"},{"name":"Duvauchelle Philippe"},{"name":"Ege Kerem"},{"name":"Girardin François"},{"name":"Guy Philippe"},{"name":"Hamzaoui Nacer"},{"name":"Kaftandjian Valérie"},{"name":"Laulagnet Bernard"},{"name":"Leclère Quentin"},{"name":"Maxit Laurent"},{"name":"Monnier Thomas"},{"name":"Parizet Etienne"},{"name":"Pavic Goran"},{"name":"Redon Emmanuel"},{"name":"Totaro Nicolas"}],"abstract":"The Laboratoire Vibrations Acoustique is a research unit of INSA Lyon, founded in the late 1960s to study vibrations and their consequences on noise emitted by machines and structures. The aim of this article is to review the historical contributions and main developments of the laboratory over the last fifty years. After examining the early years of the laboratory, the authors retrace the developments and key scientific contributions that have enabled it to gain renown at national and international levels in the field of vibration and acoustical engineering.","source":"DOAJ","year":2025,"language":"","subjects":["Acoustics in engineering. Acoustical engineering","Acoustics. Sound"],"doi":"10.1051/aacus/2025063","url":"https://acta-acustica.edpsciences.org/articles/aacus/full_html/2025/01/aacus250052/aacus250052.html","is_open_access":true,"published_at":"","score":69},{"id":"arxiv_2501.03569","title":"What Does a Software Engineer Look Like? Exploring Societal Stereotypes in LLMs","authors":[{"name":"Muneera Bano"},{"name":"Hashini Gunatilake"},{"name":"Rashina Hoda"}],"abstract":"Large language models (LLMs) have rapidly gained popularity and are being embedded into professional applications due to their capabilities in generating human-like content. However, unquestioned reliance on their outputs and recommendations can be problematic as LLMs can reinforce societal biases and stereotypes. This study investigates how LLMs, specifically OpenAI's GPT-4 and Microsoft Copilot, can reinforce gender and racial stereotypes within the software engineering (SE) profession through both textual and graphical outputs. We used each LLM to generate 300 profiles, consisting of 100 gender-based and 50 gender-neutral profiles, for a recruitment scenario in SE roles. Recommendations were generated for each profile and evaluated against the job requirements for four distinct SE positions. Each LLM was asked to select the top 5 candidates and subsequently the best candidate for each role. Each LLM was also asked to generate images for the top 5 candidates, providing a dataset for analysing potential biases in both text-based selections and visual representations. Our analysis reveals that both models preferred male and Caucasian profiles, particularly for senior roles, and favoured images featuring traits such as lighter skin tones, slimmer body types, and younger appearances. These findings highlight underlying societal biases influence the outputs of LLMs, contributing to narrow, exclusionary stereotypes that can further limit diversity and perpetuate inequities in the SE field. As LLMs are increasingly adopted within SE research and professional practices, awareness of these biases is crucial to prevent the reinforcement of discriminatory norms and to ensure that AI tools are leveraged to promote an inclusive and equitable engineering culture rather than hinder it.","source":"arXiv","year":2025,"language":"en","subjects":["cs.SE"],"url":"https://arxiv.org/abs/2501.03569","pdf_url":"https://arxiv.org/pdf/2501.03569","is_open_access":true,"published_at":"2025-01-07T06:44:41Z","score":69},{"id":"arxiv_2508.15733","title":"Exploration of Evolving Quantum Key Distribution Network Architecture Using Model-Based Systems Engineering","authors":[{"name":"Hayato Ishida"},{"name":"Amal Elsokary"},{"name":"Maria Aslam"},{"name":"Catherine White"},{"name":"Michael J. de C. Henshaw"},{"name":"Siyuan Ji"}],"abstract":"Realisation of significant advances in capabilities of sensors, computing, timing, and communication enabled by quantum technologies is dependent on engineering highly complex systems that integrate quantum devices into existing classical infrastructure. A systems engineering approach is considered to address the growing need for quantum-secure telecommunications that overcome the threat to encryption caused by maturing quantum computation. This work explores a range of existing and future quantum communication networks, specifically quantum key distribution network proposals, to model and demonstrate the evolution of quantum key distribution network architectures. Leveraging Orthogonal Variability Modelling and Systems Modelling Language as candidate modelling languages, the study creates traceable artefacts to promote modular architectures that are reusable for future studies. We propose a variability-driven framework for managing fast-evolving network architectures with respect to increasing stakeholder expectations. The result contributes to the systematic development of viable quantum key distribution networks and supports the investigation of similar integration challenges relevant to the broader context of quantum systems engineering.","source":"arXiv","year":2025,"language":"en","subjects":["cs.ET","cs.SE","quant-ph"],"doi":"10.1109/ISSE65546.2025.11369979","url":"https://arxiv.org/abs/2508.15733","pdf_url":"https://arxiv.org/pdf/2508.15733","is_open_access":true,"published_at":"2025-08-21T17:21:03Z","score":69},{"id":"doaj_10.1051/aacus/2024018","title":"Effect of room acoustic properties and head orientation on practical speech-in-noise measurements for various spatial configurations","authors":[{"name":"Warkentin Larissa"},{"name":"Denk Florian"},{"name":"Winkler Alexandra"},{"name":"Sankowsky-Rothe Tobias"},{"name":"Blau Matthias"},{"name":"Holube Inga"},{"name":"Husstedt Hendrik"}],"abstract":"Speech recognition scores in noise can be affected by measurement conditions such as the spatial configuration, room acoustic properties, or the position and head orientation of a test person. This is critical when comparing repeated measurements, e.g., during hearing aid verification. While the basic effects of these factors are known, specific effect sizes for practically relevant configurations have not previously been reported. We investigated the effects of audiological test-room acoustics with low reverberation, and of head movements on speech-in-noise tests for typical spatial configurations. Speech-recognition thresholds (SRTs) and head movements were measured in 240 normal-hearing participants in six rooms for five loudspeaker configurations (S0N0, S0N±45, S0N±90, S0N180 and S±45N∓45). Additionally, head positions were reproduced with an artificial head, and using a binaural speech intelligibility model, binaural room impulse responses were measured to estimate the influence of head movements on the SRT. The results show that the effects of room acoustic properties and head movements varies greatly between spatial configurations. Head rotations around the vertical axis can affect speech recognition scores by up to 8 dB, most critically for the configuration S0N180. For spatially separated sound sources, different room acoustic conditions caused differences in SRT of up to 5 dB.","source":"DOAJ","year":2024,"language":"","subjects":["Acoustics in engineering. Acoustical engineering","Acoustics. Sound"],"doi":"10.1051/aacus/2024018","url":"https://acta-acustica.edpsciences.org/articles/aacus/full_html/2024/01/aacus240010/aacus240010.html","is_open_access":true,"published_at":"","score":68},{"id":"arxiv_2406.04710","title":"Morescient GAI for Software Engineering (Extended Version)","authors":[{"name":"Marcus Kessel"},{"name":"Colin Atkinson"}],"abstract":"The ability of Generative AI (GAI) technology to automatically check, synthesize and modify software engineering artifacts promises to revolutionize all aspects of software engineering. Using GAI for software engineering tasks is consequently one of the most rapidly expanding fields of software engineering research, with over a hundred LLM-based code models having been published since 2021. However, the overwhelming majority of existing code models share a major weakness - they are exclusively trained on the syntactic facet of software, significantly lowering their trustworthiness in tasks dependent on software semantics. To address this problem, a new class of \"Morescient\" GAI is needed that is \"aware\" of (i.e., trained on) both the semantic and static facets of software. This, in turn, will require a new generation of software observation platforms capable of generating large quantities of execution observations in a structured and readily analyzable way. In this paper, we present a vision and roadmap for how such \"Morescient\" GAI models can be engineered, evolved and disseminated according to the principles of open science.","source":"arXiv","year":2024,"language":"en","subjects":["cs.SE","cs.AI"],"doi":"10.1145/3709354","url":"https://arxiv.org/abs/2406.04710","pdf_url":"https://arxiv.org/pdf/2406.04710","is_open_access":true,"published_at":"2024-06-07T07:38:33Z","score":68},{"id":"arxiv_2406.04780","title":"Software Engineering for Collective Cyber-Physical Ecosystems","authors":[{"name":"Roberto Casadei"},{"name":"Gianluca Aguzzi"},{"name":"Giorgio Audrito"},{"name":"Ferruccio Damiani"},{"name":"Danilo Pianini"},{"name":"Giordano Scarso"},{"name":"Gianluca Torta"},{"name":"Mirko Viroli"}],"abstract":"Today's distributed and pervasive computing addresses large-scale cyber-physical ecosystems, characterised by dense and large networks of devices capable of computation, communication and interaction with the environment and people. While most research focusses on treating these systems as \"composites\" (i.e., heterogeneous functional complexes), recent developments in fields such as self-organising systems and swarm robotics have opened up a complementary perspective: treating systems as \"collectives\" (i.e., uniform, collaborative, and self-organising groups of entities). This article explores the motivations, state of the art, and implications of this \"collective computing paradigm\" in software engineering, discusses its peculiar challenges, and outlines a path for future research, touching on aspects such as macroprogramming, collective intelligence, self-adaptive middleware, learning, synthesis, and experimentation of collective behaviour.","source":"arXiv","year":2024,"language":"en","subjects":["cs.SE","cs.AI","cs.DC","cs.MA","eess.SY"],"doi":"10.1145/3712004","url":"https://arxiv.org/abs/2406.04780","pdf_url":"https://arxiv.org/pdf/2406.04780","is_open_access":true,"published_at":"2024-06-07T09:28:22Z","score":68},{"id":"arxiv_2406.07737","title":"The Future of AI-Driven Software Engineering","authors":[{"name":"Valerio Terragni"},{"name":"Annie Vella"},{"name":"Partha Roop"},{"name":"Kelly Blincoe"}],"abstract":"A paradigm shift is underway in Software Engineering, with AI systems such as LLMs playing an increasingly important role in boosting software development productivity. This trend is anticipated to persist. In the next years, we expect a growing symbiotic partnership between human software developers and AI. The Software Engineering research community cannot afford to overlook this trend; we must address the key research challenges posed by the integration of AI into the software development process. In this paper, we present our vision of the future of software development in an AI-driven world and explore the key challenges that our research community should address to realize this vision.","source":"arXiv","year":2024,"language":"en","subjects":["cs.SE","cs.AI","cs.LG","cs.PL"],"doi":"10.1145/3715003","url":"https://arxiv.org/abs/2406.07737","pdf_url":"https://arxiv.org/pdf/2406.07737","is_open_access":true,"published_at":"2024-06-11T21:46:19Z","score":68},{"id":"arxiv_2408.06505","title":"Multilingual Crowd-Based Requirements Engineering Using Large Language Models","authors":[{"name":"Arthur Pilone"},{"name":"Paulo Meirelles"},{"name":"Fabio Kon"},{"name":"Walid Maalej"}],"abstract":"A central challenge for ensuring the success of software projects is to assure the convergence of developers' and users' views. While the availability of large amounts of user data from social media, app store reviews, and support channels bears many benefits, it still remains unclear how software development teams can effectively use this data. We present an LLM-powered approach called DeeperMatcher that helps agile teams use crowd-based requirements engineering (CrowdRE) in their issue and task management. We are currently implementing a command-line tool that enables developers to match issues with relevant user reviews. We validated our approach on an existing English dataset from a well-known open-source project. Additionally, to check how well DeeperMatcher works for other languages, we conducted a single-case mechanism experiment alongside developers of a local project that has issues and user feedback in Brazilian Portuguese. Our preliminary analysis indicates that the accuracy of our approach is highly dependent on the text embedding method used. We discuss further refinements needed for reliable crowd-based requirements engineering with multilingual support.","source":"arXiv","year":2024,"language":"en","subjects":["cs.SE"],"doi":"10.5753/sbes.2024.3646","url":"https://arxiv.org/abs/2408.06505","pdf_url":"https://arxiv.org/pdf/2408.06505","is_open_access":true,"published_at":"2024-08-12T21:40:39Z","score":68},{"id":"doaj_10.1051/aacus/2022060","title":"Investigation of an engine order noise cancellation system in a super sports car","authors":[{"name":"Ferrari Cesare Lupo"},{"name":"Cheer Jordan"},{"name":"Mautone Mario"}],"abstract":"Today’s cars must meet ever-higher acoustic standards, and so, to avoid compromising vehicle dynamics, handling performance and fuel consumption, standard passive methods alone do not provide sufficient performance. Active control solutions can provide a potential solution to this challenge, particularly at low frequency and such systems have been investigated for application to small cars, SUVs and luxury vehicles. These vehicles are generally characterised by fairly slow dynamics and limited noise emission and, therefore, this paper explores the challenging application of active noise control to a two-seat super sports car equipped with a naturally aspirated engine. This work aims to track and then control sounds characterised by extremely rapid frequency variation rates, up to peaks of over 80 Hz/s, and high sound pressure levels. A multi-channel, multi-order FxLMS based control system has been implemented, which has been modified to optimise performance for this application by including both convergence gain and leakage scheduling, to achieve effective control at the driver’s and passenger’s ears. To evaluate the performance of the controller, its performance has been simulated when applied to measurements taken under several vehicle manoeuvres, ranging from conventional constant engine speed to very fast engine run-ups. From the presented results, it is shown that the system can obtain high levels of control during the manoeuvre set, with the controller reducing the overall sound pressure level by more than 10 dB at certain frequencies when analysing a single order, and it reduces the overall loudness by around 5% in all of the analysed cases.","source":"DOAJ","year":2023,"language":"","subjects":["Acoustics in engineering. Acoustical engineering","Acoustics. Sound"],"doi":"10.1051/aacus/2022060","url":"https://acta-acustica.edpsciences.org/articles/aacus/full_html/2023/01/aacus220076/aacus220076.html","is_open_access":true,"published_at":"","score":67},{"id":"doaj_10.1051/aacus/2023004","title":"Joint short-time speaker recognition and tracking using sparsity-based source detection","authors":[{"name":"Guo Yao"},{"name":"Zhu Hongyan"}],"abstract":"A random finite set-based sequential Monte–Carlo tracking method is proposed to track multiple acoustic sources in indoor scenarios. The proposed method can improve tracking performance by introducing recognized speaker identities from the received signals. At the front-end, the degenerate unmixing estimation technique (DUET) is employed to separate the mixed signals, and the time delay of arrival (TDOA) is measured. In addition, a criterion to select the reliable microphone pair is designed to quickly obtain accurate speaker identities from the mixed signals, and the Gaussian mixture model universal background model (GMM-UBM) is employed to train the speaker model. In the tracking step, the update of the weight for each particle is derived after introducing the recognized speaker identities, which results in better association between the measurements and sources. Simulation results demonstrate that the proposed method can improve the accuracy of the filter states and discriminate the sources close to each other.","source":"DOAJ","year":2023,"language":"","subjects":["Acoustics in engineering. Acoustical engineering","Acoustics. Sound"],"doi":"10.1051/aacus/2023004","url":"https://acta-acustica.edpsciences.org/articles/aacus/full_html/2023/01/aacus220026/aacus220026.html","is_open_access":true,"published_at":"","score":67},{"id":"doaj_10.1051/aacus/2023034","title":"Brownian motion with radioactive decay to calculate the dynamic bulk modulus of gases saturating porous media according to Biot theory","authors":[{"name":"Lafarge Denis"},{"name":"Nemati Navid"},{"name":"Vielpeau Stéphane"}],"abstract":"We present a new stochastic simulation method for determining the long-wavelength effective dynamic bulk modulus of gases, such as ambient air, saturating porous media with relatively arbitrary microgeometries, i.e., simple enough to warrant Biot’s simplification that the fluid and solid motions are quasi-incompressible motions at the pore scale. The simulation method is based on the mathematical isomorphism between two different physical problems. One of them is the actual Fourier heat exchange problem between gas and solid in the context of Biot theory. The other is a diffusion-disintegration-controlled problem that considers Brownian motion of diffusing particles undergoing radioactive-type decay in the pore volume and instant decay at the pore walls. By appropriately choosing the decay time and the diffusion coefficient, the stochastic algorithm we develop to determine the average lifetime of the diffusing particles, directly gives the effective apparent modulus of the saturating fluid. We show how it leads to purely geometric stochastic constructions to determine a number of geometrical parameters. After validating the algorithm for cylindrical circular pores, its power is illustrated for the case of fibrous materials of the type used in noise control. The results agree well with a model of the effective modulus with three purely geometric parameters of the pore space: static thermal permeability divided by porosity, static thermal tortuosity, and thermal characteristic length.","source":"DOAJ","year":2023,"language":"","subjects":["Acoustics in engineering. Acoustical engineering","Acoustics. Sound"],"doi":"10.1051/aacus/2023034","url":"https://acta-acustica.edpsciences.org/articles/aacus/full_html/2023/01/aacus230023/aacus230023.html","is_open_access":true,"published_at":"","score":67},{"id":"doaj_10.1051/aacus/2022055","title":"Impact of wearing a head-mounted display on localization accuracy of real sound sources","authors":[{"name":"Poirier-Quinot David"},{"name":"Lawless Martin S."}],"abstract":"For augmented reality experiences, users wear head-mounted displays (HMD) while listening to real and virtual sound sources. This paper assesses the impact of wearing an HMD on localization accuracy of real sources. Eighteen blindfolded participants completed a localization task on 32 loudspeakers while wearing either no HMD, a bulky visor HMD, or a glass visor HMD. Results demonstrate that the HMDs had a significantly impact on participants’ localization performance, increasing local great circle angle error by 0.9°, and that the glass visor HMD demonstrably increased the rate of up–down confusions in the responses by 0.9–1.1%. These results suggest that wearing an HMD has a sufficiently small impact on real source localization that it can safely be considered as an HMD-free condition in most but the most demanding AR auditory localization studies.","source":"DOAJ","year":2023,"language":"","subjects":["Acoustics in engineering. Acoustical engineering","Acoustics. Sound"],"doi":"10.1051/aacus/2022055","url":"https://acta-acustica.edpsciences.org/articles/aacus/full_html/2023/01/aacus220027/aacus220027.html","is_open_access":true,"published_at":"","score":67},{"id":"arxiv_2308.05381","title":"An Exploratory Study of V-Model in Building ML-Enabled Software: A Systems Engineering Perspective","authors":[{"name":"Jie JW Wu"}],"abstract":"Machine learning (ML) components are being added to more and more critical and impactful software systems, but the software development process of real-world production systems from prototyped ML models remains challenging with additional complexity and interdisciplinary collaboration challenges. This poses difficulties in using traditional software lifecycle models such as waterfall, spiral, or agile models when building ML-enabled systems. In this research, we apply a Systems Engineering lens to investigate the use of V-Model in addressing the interdisciplinary collaboration challenges when building ML-enabled systems. By interviewing practitioners from software companies, we established a set of 8 propositions for using V-Model to manage interdisciplinary collaborations when building products with ML components. Based on the propositions, we found that despite requiring additional efforts, the characteristics of V-Model align effectively with several collaboration challenges encountered by practitioners when building ML-enabled systems. We recommend future research to investigate new process models, frameworks and tools that leverage the characteristics of V-Model such as the system decomposition, clear system boundary, and consistency of Validation \u0026 Verification (V\u0026V) for building ML-enabled systems.","source":"arXiv","year":2023,"language":"en","subjects":["cs.SE"],"doi":"10.1145/3644815.3644951","url":"https://arxiv.org/abs/2308.05381","pdf_url":"https://arxiv.org/pdf/2308.05381","is_open_access":true,"published_at":"2023-08-10T06:53:32Z","score":67},{"id":"doaj_10.1051/aacus/2022041","title":"Aeroacoustic formulations for confined flows based on incompressible flow data","authors":[{"name":"Maurerlehner Paul"},{"name":"Schoder Stefan"},{"name":"Tieber Johannes"},{"name":"Freidhager Clemens"},{"name":"Steiner Helfried"},{"name":"Brenn Günter"},{"name":"Schäfer Karl-Heinz"},{"name":"Ennemoser Andreas"},{"name":"Kaltenbacher Manfred"}],"abstract":"The hybrid aeroacoustic approach is an efficient way to address the issue of the disparity of scales in Computational AeroAcoustics (CAA) at low Mach numbers. In the present paper, three wave equations governing propagation of flow-induced sound of low Mach number flows, namely the Perturbed Convective Wave Equation (PCWE), Ribner’s Dilatation (RIB) equation, and Lighthill’s wave equation, are applied using the Finite Element Method (FEM). An airflow through a circular pipe with a half-moon-shaped orifice at three operating flow speeds is considered, where validation data from measurements on a dedicated test rig is available. An extensive analysis of the flow field is provided based on the results of the incompressible flow simulation. The resulting acoustic source terms are investigated, and the relevant source term contributions are determined. The results of the acoustic propagation simulations revealed that the PCWE and RIB are best suited for the present task. The overall deviation of the predicted pressure spectra from the measured mean values amounted to 2.26 and 2.13 times the standard deviation of the measurement compared to 3.55 for Lighthill’s wave equation. Besides reliably predicting the flow-induced sound, the numerical procedure of source term computation is straightforward for PCWE and RIB, where the source term contributions, shown to be relevant, solely consist of time derivatives of the incompressible pressure. In contrast, the Lighthill source term involves spatial derivatives and, thus, is strongly dependent on the spatial resolution and the numerical method actually used for approximating these terms.","source":"DOAJ","year":2022,"language":"","subjects":["Acoustics in engineering. Acoustical engineering","Acoustics. Sound"],"doi":"10.1051/aacus/2022041","url":"https://acta-acustica.edpsciences.org/articles/aacus/full_html/2022/01/aacus220017/aacus220017.html","is_open_access":true,"published_at":"","score":66}],"total":6443991,"page":1,"page_size":20,"sources":["DOAJ","arXiv","CrossRef"],"query":"Acoustics in engineering. Acoustical engineering"}