Article
Engineering, Mechanical
Long Haiqiang, Zhang Bo, Su Jintao, Deng Qinwen
Summary: This paper presents a failure analysis of an engine mounting bracket, identifying the causes of failure through various analytical methods and proposing an optimized structure to improve performance, which is validated by subsequent tests.
ENGINEERING FAILURE ANALYSIS
(2022)
Article
Engineering, Biomedical
Fan Chen, Xiaoyu Zhang
Summary: This study proposes a method for synthesising engine sound based on concatenating samples, modulating the decomposed segments, and evaluating the synthesised sound through subjective auditory experiments. The results show that the synthesised sound, to some extent, can replace the raw engine sound.
JOURNAL OF VIBROENGINEERING
(2021)
Article
Psychology, Mathematical
Tuomas Eerola, Imre Lahdelma
Summary: This study examined the effect of register on the perceptual consonance of chords, finding that both low and high registers impact consonance negatively. Frequency has a curvilinear impact on consonance through roughness and sharpness. The influence of register on consonance can be accurately described with a cubic relationship.
PSYCHONOMIC BULLETIN & REVIEW
(2022)
Article
Mathematics
Xifen Huang, Jinfeng Xu, Yunpeng Zhou
Summary: This study proposes an advanced modeling approach for analyzing complex multivariate survival data, which incorporates a flexible frailty distribution and utilizes innovative regularization techniques for accurate estimation and effective model selection. The proposed methodology has been validated through real-world data and comprehensive simulation studies, demonstrating its practical utility and desirable theoretical properties.
Article
Green & Sustainable Science & Technology
Xiaomin Sun, Jing Qing, Syed Ahsan Ali Shah, Yasir Ahmed Solangi
Summary: This research examines the relationship between sustainable development and green tourism in a sample of 30 countries. The study employs the advanced Generalized Method of Moments (GMM) estimator to address potential endogeneity issues. Key macroeconomic variables and the Environmental Performance Index (EPI) are included as control variables. The findings demonstrate a significant positive correlation between sustainable development and green tourism, while also revealing complex associations with the control variables. The study highlights the importance of incorporating sustainable tourism and environmental strategies into the wider discourse on sustainable development.
Article
Engineering, Aerospace
Jingjing Huang, Xijun Zhang
Summary: A vibration fault identification method based on the vibration state characteristics of a turbojet engine and cepstrum analysis technology was proposed. The method successfully separated and extracted the periodic components and multi-component side-frequency complex signals in the vibration signals, achieving effective identification of vibration faults.
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART G-JOURNAL OF AEROSPACE ENGINEERING
(2022)
Article
Engineering, Environmental
Hoang-Khanh Le, Wen-Chao Huang, Chih-Chun Chien
Summary: This study investigated the mechanical properties of soft rock joints with randomly-generated joint roughness coefficients (JRC) through a series of direct shear tests in laboratory and numerical modeling. It was found that the numerical model can be used to interpret direct shear test results, and that the peak shear strength of soft rock joints mainly comes from their roughness.
BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT
(2021)
Article
Computer Science, Artificial Intelligence
Nabil Arhab, Mourad Oussalah, Yazid Bounab
Summary: Social media has become an important source of data for researchers and stakeholders to assess policies based on users' feedback. In this study, car parking behavior was examined through comprehensive analysis of hashtags on Twitter. A two-step strategy was used involving surface-level analysis and tweet content analysis. Empath categorization outperformed other models and the influence of bots or spammers was evaluated using engagement/diversity measures and Botometer API.
Article
Hospitality, Leisure, Sport & Tourism
Ming Cheng, Chris K. Anderson
Summary: This study identifies three distinct consumer segments in the hospitality industry using a unique disaggregated query-level data set collected from a leading Chinese search engine. The insights obtained from consumer search and click-through behaviors provide actionable guidelines for hotel marketers, demonstrating the potential for a segment-specific ad assortment approach to improve advertising efficiency and enrich consumer search experience.
CORNELL HOSPITALITY QUARTERLY
(2021)
Article
Psychology, Multidisciplinary
Yang Gao, Xiaochen Wang, Pinwei Fan
Summary: This paper explores how motivational dynamics co-evolve with academic affordances for male English majors in higher educational institutions, using complex dynamic systems theory as a theoretical stance. The study finds that male students' motivation is complex, dynamic, and non-linear, influenced by various factors. The study also offers insights and suggestions for language lecturers and universities to improve inclusivity and equality of opportunity for male students in English major programs.
CURRENT PSYCHOLOGY
(2023)
Article
Biology
Vimal Raj, M. S. Swapna, S. Sankararaman
Summary: This paper proposes a graph-theoretical approach to auscultation, using graph features in classifying bioacoustics signals. The airflow dynamics during respiration were studied through complex network analysis of 48 healthy individuals' vesicular (VE) and bronchial (BR) breath sounds. Machine learning techniques were used to classify VE and BR by extracting graph features, such as the number of edges, graph density, transitivity, degree centrality, and eigenvector centrality. The results showed that higher values of certain graph features in BR indicated temporally correlated airflow through wider tracheobronchial tracts, resulting in sustained high-intense low-frequencies. On the other hand, lower values of these graph features in VE suggested less correlated airflow through narrow bronchi and lobes, leading to a higher frequency spread and high-frequencies. The study also proposed a methodology for remote auscultation that is applicable in the current scenario of COVID-19.
COMPUTERS IN BIOLOGY AND MEDICINE
(2022)
Article
Multidisciplinary Sciences
Junqiao Jia, Tarek Hilal, Katherine E. Bohnsack, Aleksandar Chernev, Ning Tsao, Juliane Bethmann, Aruna Arumugam, Lane Parmely, Nicole Holton, Bernhard Loll, Nima Mosammaparast, Markus T. Bohnsack, Henning Urlaub, Markus C. Wahl
Summary: The study reveals that ASCC3, with the assistance of TRIP4 protein, can unwind DNA by threading one strand of the substrate duplex through both helicase units.
NATURE COMMUNICATIONS
(2023)
Article
Green & Sustainable Science & Technology
Jakub Wieckowski, Jaroslaw Watrobski, Bartlomiej Kizielewicz, Wojciech Salabun
Summary: Sustainability research and practice decisions are crucial for addressing the challenge of frugal resource management in today's world. The use of Multi-Criteria Decision Analysis (MCDA) tools can help comprehensively analyze available decision options. However, current frameworks often rely on crisp values, resulting in only initial recommendations. This paper proposes a new framework for sensitivity analysis based on interval arithmetic and MCDA approach, which can effectively handle uncertain data and provide robust ranking.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Mathematics, Applied
Avraam Charakopoulos, Theodoros Karakasidis, Ioannis Sarris
Summary: Complex network analysis was used to study the mechanism of fluid pattern modification due to external magnetic fields. The results showed that the network analysis can identify dynamic transitions in system behavior, distinguish different fluid areas, and quantify the effect of magnetic fields on time series.
Article
Chemistry, Multidisciplinary
Konstantinos-Marios Tsitsilonis, Gerasimos Theotokatos
Summary: This study utilized a coupled thermodynamics and crankshaft dynamics model of a large two-stroke diesel engine to map the relationship between the engine Instantaneous Crankshaft Torque (ICT) and various malfunctioning conditions. It was found that changes in scavenge air pressure and blowby have distinct effects on the engine ICT, while changes in Start of Injection (SOI) and Rate of Heat Release (RHR) do not have a significant impact. This demonstrates the potential of engine ICT as a diagnostic tool and the benefits of malfunctioning conditions mapping for quick and efficient identification of engine malfunctions.
APPLIED SCIENCES-BASEL
(2021)
Article
Computer Science, Hardware & Architecture
Pau Arce, David Salvo, Gema Pinero, Alberto Gonzalez
Summary: This paper introduces a wireless acoustic sensor network based on Raspberry Pi devices for monitoring sound events in urban environments. The system is designed according to the open standard FIWARE, exhibiting high scalability. The sound classifier performs well, achieving similar accuracy compared to systems utilizing cloud computing.
Article
Computer Science, Hardware & Architecture
Victor M. Garcia-Molla, M. Angeles Simarro, F. J. Martinez-Zaldivar, Murilo Boratto, Pedro Alonso, Alberto Gonzalez
Summary: Generalized Spatial Modulation is a technique designed to enhance transmission efficiency in MIMO systems, but retrieving sent signals accurately is challenging and computationally expensive. This paper proposes a parallel method using OpenMP for computing the maximum likelihood solution, which is faster and significantly reduces worst-case computing times compared to the sequential version.
JOURNAL OF SUPERCOMPUTING
(2022)
Article
Acoustics
Vicent Moles-Cases, Stephen J. Elliott, Jordan Cheer, Gema Pinero, Alberto Gonzalez
Summary: Personal sound zones (PSZ) systems use an array of loudspeakers to deliver independent audio signals to multiple listeners within a room. It has been shown that the performance of the system can be improved by using windowed versions of measured impulse responses as target signals.
JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA
(2022)
Article
Engineering, Electrical & Electronic
Angeles Simarro, Victor M. Garcia-Molla, F. J. Martinez-Zaldivar, Alberto Gonzalez
Summary: This paper presents three algorithms that achieve ML performance for MIMO-GSM systems. The first algorithm utilizes different strategies, including preprocessing sorting and clipping, to reduce computational complexity. The other two algorithms can only be used with clipping, but they show significant savings in computational cost.
Article
Acoustics
Juan Estreder, Gema Pinero, Maria de Diego, Jussi Ramoe, Vesa Valimaki
Summary: This paper proposes improvements to the Aures' tonality metric for estimating the frequency masking of complex sounds. The modified Aures method has been validated through subjective tests and shown to have significantly lower average error in predicting subjective masking thresholds compared to the original method and a baseline spectral flatness method. A second subjective test also confirms the preference for the improved Aures method in perceptual equalization of music signals.
Article
Engineering, Biomedical
Ignacio Catala-Vilaplana, Alberto Encarnacion-Martinez, Andres Camacho-Garcia, Roberto Sanchis-Sanchis, Pedro Perez-Soriano
Summary: This study compared the impact accelerations, spatiotemporal parameters, and perceptual variables of running on different surfaces. The results showed that running on a curved non-motorised treadmill reduced impact accelerations and increased stride frequency, perceived effort, and heart rate compared to motorised treadmill or overground running. These findings highlight the importance of considering the differences in impact accelerations, spatiotemporal parameters, perceived exertion, and heart rate when choosing running surfaces.
SPORTS BIOMECHANICS
(2023)
Article
Engineering, Electrical & Electronic
Miguel Ferrer, Maria de Diego, Victor M. Garcia-Molla, Alberto Gonzalez
Summary: Choosing a suitable convergence step for the filtered-x LMS algorithm is usually done through trial and error, as theoretical developments provide only indicative values. The filtered-x structure, which introduces delay and colors the reference signal, increases the inaccuracy of theoretical models. Most theoretical studies focus on full-band reference signals, making it difficult to extrapolate these models to band-limited signals. This paper proposes a low-cost and meaningful method for selecting the convergence step that is well tuned in most practical cases, regardless of the reference signal, system delays, and the filter required in the filtered-x structure. Numerical simulations validate the effectiveness of the proposed approach.
Article
Engineering, Electrical & Electronic
Miguel Ferrer, Victor M. Garcia-Molla, Antonio M. Vidal-Macia, Maria de Diego, Alberto Gonzalez
Summary: This paper explores the stability assessment of distributed active noise control (ANC) systems, which aim to cancel noise at specific points in space. The task is distributed across multiple acoustic nodes using the filtered-X LMS algorithm. Collaboration among nodes is necessary to avoid instability caused by acoustic coupling. A fast method is proposed to check the positivity of the real parts of the system matrix eigenvalues and accurately assess the stability/instability of ANC systems.
Article
Acoustics
Christian Antonanzas, Miguel Ferrer, Maria de Diego, Alberto Gonzalez
Summary: Multichannel Active Noise Control (ANC) headrest systems are designed to create quiet areas for passengers in public transportation cabins. A distributed implementation may be more convenient and scalable due to the computational demands of dealing with multiple loudspeakers and microphones. The addition of the remote microphone (RM) technique allows for the creation of local quiet zones at unachievable placements for error sensors, but the implementation of ANC headrest systems with virtual microphones over a distributed acoustic sensor network has not been addressed. This work proposes a distributed version of the multiple-error FxLMS (MEFxLMS) algorithm considering the RM method, which provides a scalable and versatile ANC system with the same performance as its centralized version on non-constrained communication networks.
IEEE-ACM TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING
(2023)
Article
Chemistry, Multidisciplinary
Irene Jimenez-Perez, Arian Ramon Aladro-Gonzalvo, Antonio Vera Moran, Andres Camacho-Garcia, Alberto Encarnacion-Martinez, Pedro Perez-Soriano
Summary: In cycling, the consumption of energy bars with different textures can affect oral processing, but not pedalling intensity or perception of satisfaction. This study found that a softer energy bar required shorter chewing duration and fewer chews, but did not influence pedalling intensity or satisfaction. Participants were able to distinguish between the two different textures while cycling.
APPLIED SCIENCES-BASEL
(2023)
Article
Acoustics
Miguel Ferrer, Maria de Diego, Amin Hassani, Marc Moonen, Gema Pinero, Alberto Gonzalez
Summary: The paper introduces a multi-channel active noise equalizer capable of handling multi-frequency noise signals, providing optimal analytic solutions and adaptive algorithms for both single-frequency and multi-frequency noise cases, and validating the ability of the equalizer to achieve different noise profiles at different locations.
IEEE-ACM TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING
(2022)
Proceedings Paper
Computer Science, Theory & Methods
Juan Estreder, Gema Pinero, Miguel Ferrer, Maria de Diego, Alberto Gonzalez
Summary: This paper proposes a novel multi-channel active noise equalizer that can benefit from the masking effect of music to perform perceptual equalization of ambient noise, automatically adapting to the spectral profile and masking threshold. The system is able to reduce noise pollution and power consumption, providing a versatile real-time alternative to classic active noise cancellation systems.
PROCEEDINGS OF THE 18TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING AND MULTIMEDIA APPLICATIONS (SIGMAP)
(2021)
Article
Acoustics
Miguel Ferrer, Maria de Diego, Gema Pinero, Alberto Gonzalez
Summary: Acoustic sensor networks (ASNs) use distributed adaptive algorithms for active noise control, providing scalable systems with distributed signal processing load and comparable noise reduction performance. The exact distributed multichannel filtered-x AP (EFxAP) algorithm achieves the same performance as centralized systems in ASNs with no communication constraints, offering significant computational savings and faster convergence compared to other distributed algorithms.
IEEE-ACM TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING
(2021)
