bluuebunny/crossref_metadata_2025 huggingface dataset:
High-Resolution Reconstruction of Temperature Fields Based on Improved ResNet18
Authors: Ma Leilei , Ma Jungang , Zelminbek Manlidan , Zhang Wenjun
Published: October 2024

High-precision measurement of temperature value distributions in production scenarios is of great significance for industrial production, but traditional temperature field reconstruction algorithms rely on the design of manual feature extraction methods with high computational complexity and poor generalization ability. In this paper, we propose a high-precision temperature field reconstruction algorithm based on deep learning, using an efficient adaptive feature extraction method for temperature field reconstruction. We design an improved temperature field reconstruction algorithm based on the ResNet18 neural network; introduce the CBAM attention mechanism in the model; and design a feature pyramid, using M-FPN, a multi-scale feature aggregation network fusing PAN and FPN, to make the extracted feature information propagate multi-dimensionally among different layers to improve the feature characterization ability. Finally, the mean square error is used to guide the model to optimize the training so that the model pays more attention to the data and reduces the large error to ensure that the gap between the predicted value and the real value is small. The experimental results show that the reconstruction accuracy of the improved algorithm presented in this paper is significantly better than that of the original algorithm in the case of typical peaked temperature field distributions.
Research on Real-Time Roundup and Dynamic Allocation Methods for Multi-Dynamic Target Unmanned Aerial Vehicles
Authors: Li Jinpeng , Wei Ruixuan , Zhang Qirui , Shi Ruqiang , Jiang Benqi
Published: October 2024

When multi-dynamic target UAVs escape, the uncertainty of the formation method and the external environment causes difficulties in rounding them up, so suitable solutions are needed to improve the roundup success rate. However, traditional methods can generally only enable the encirclement of a single target, and when the target is scattered and escaping, this will lead to encirclement failure due to the inability to sufficiently allocate UAVs for encirclement. Therefore, in this paper, a real-time roundup and dynamic allocation algorithm for multiple dynamic targets is proposed. A real-time dynamic obstacle avoidance model is established for the roundup problem, drawing on the artificial potential field function. For the escape problem of the rounding process, an optimal rounding allocation strategy is established by drawing on the linear matching method. The algorithm in this paper simulates the UAV in different obstacle environments to round up dynamic targets with different escape methods. The results show that the algorithm is able to achieve the rounding up of multiple dynamic targets in a UAV and obstacle scenario with random initial positions, and the task UAV, which is able to avoid obstacles, can be used in other algorithms for real-time rounding up and dynamic allocation. The results show that the algorithm is able to achieve the rounding up of multi-dynamic targets in scenarios with a random number of UAVs and obstacles with random locations. It results in a 50% increase in the rounding efficiency and a 10-fold improvement in the formation success rate. And the mission UAV is able to avoid obstacles, which can be used in other algorithms for real-time roundup and dynamic allocation.
A Self-Powered Wireless Temperature Sensor Platform for Foot Ulceration Monitoring
Authors: Duah Joseph Agyemang , Lee Kye-Shin , Kim Byung-Gyu
Published: October 2024

This work describes a self-powered wireless temperature sensor platform that can be used for foot ulceration monitoring for diabetic patients. The proposed self-powered sensor platform consists of a piezoelectric bimorph, a power conditioning circuit, a temperature sensor readout circuit, and a wireless module. The piezoelectric bimorph mounted inside the shoe effectively converts the foot movement into electric energy that can power the entire sensor platform. Furthermore, a sensor platform was designed, considering the energy requirement of 4.826 mJ for transmitting one data packet of 18 bytes. The self-powered sensor platform prototype was evaluated with five test subjects with different weights and foot shapes; the test results show the subjects had to walk an average of 119.6 s to transmit the first data packet and an additional average of 71.2 s to transmit the subsequent data packet. The temperature sensor showed a resolution of 0.1 °C and a sensitivity of 56.7 mV/°C with a power conditioning circuit efficiency of 74.5%.
Robust License Plate Recognition in OCC-Based Vehicle Networks Using Image Reconstruction
Authors: Zhang Dingfa , Liu Ziwei , Zhu Weiye , Zheng Jie , Sun Yimao , Chen Chen , Yang Yanbing
Published: October 2024

With the help of traffic lights and street cameras, optical camera communication (OCC) can be adopted in Internet of Vehicles (IoV) applications to realize communication between vehicles and roadside units. However, the encoded light emitted by these OCC transmitters (LED infrastructures on the roadside and/or LED-based headlamps embedded in cars) will generate stripe patterns in image frames captured by existing license-plate recognition systems, which seriously degrades the accuracy of the recognition. To this end, we propose and experimentally demonstrate a method that can reduce the interference of OCC stripes in the image frames captured by the license-plate recognition system. We introduce an innovative pipeline with an end-to-end image reconstruction module. This module learns the distribution of images without OCC stripes and provides high-quality license-plate images for recognition in OCC conditions. In order to solve the problem of insufficient data, we model the OCC strips as multiplicative noise and propose a method to synthesize a pairwise dataset under OCC using the existing license-plate dataset. Moreover, we also build a prototype to simulate real scenes of the OCC-based vehicle networks and collect data in such scenes. Overall, the proposed method can achieve a recognition performance of 81.58% and 79.35% on the synthesized dataset and that captured from real scenes, respectively, which is improved by about 31.18% and 24.26%, respectively, compared with the conventional method.
Realizing Multi-Parameter Measurement Using PT-Symmetric LC Sensors
Authors: Zhou Bin-Bin , Chen Dan , Zhang Chi , Dong Lei
Published: October 2024

With the rapid development in sensor network technology, the complexity and diversity of application scenarios have put forward more and more new requirements for inductor–capacitor (LC) sensors, for instance, multi-parameter simultaneous monitoring. Here, the parity–time (PT) symmetry concept in quantum mechanics is applied to LC passive wireless sensing. Two or even three parameters can be monitored simultaneously by observing the frequency response of the reflection coefficient at the end of the readout circuit. In particular, for three-parameter detection, a novel detection method is studied to extract the three resonant frequencies of the system through the phase–frequency characteristics of the reflection coefficient, which has never appeared in the previous literature on PT symmetry. The changes in three resonant frequencies are in response to changes in the three parameters in the environment. We show theoretically and demonstrate experimentally that the PT-symmetric LC sensor can realize multi-parameter measurement using a series LCR circuit as the sensor and a symmetric adjustable LCR circuit as the readout circuit. Our work paves the way for applying PT symmetry in multi-parameter detection.
A Review on Photoacoustic Spectroscopy Techniques for Gas Sensing
Authors: Wijesinghe Dakshith Ruvin , Zobair Md Abu , Esmaeelpour Mina
Published: October 2024

The rapid growth of industry and the global drive for modernization have led to an increase in gas emissions, which present significant environmental and health risks. As a result, there is a growing need for precise and sensitive gas-monitoring technologies. This review delves into the progress made regarding photoacoustic gas sensors, with a specific focus on the vital components of acoustic cells and acoustic detectors. This review highlights photoacoustic spectroscopy (PAS) as an optical detection technique, lauding its high sensitivity, selectivity, and capability to detect a wide range of gaseous species. The principles of photoacoustic gas sensors are outlined, emphasizing the use of modulated light absorption to generate heat and subsequently detect gas pressure as acoustic pressure. Additionally, this review provides an overview of recent advancements in photoacoustic gas sensor components while also discussing the applications, challenges, and limitations of these sensors. It also includes a comparative analysis of photoacoustic gas sensors and other types of gas sensors, along with potential future research directions and opportunities. The main aim of this review is to advance the understanding and development of photoacoustic gas detection technology.
Multi-Source Information-Based Bearing Fault Diagnosis Using Multi-Branch Selective Fusion Deep Residual Network
Authors: Xiong Shoucong , Zhang Leping , Yang Yingxin , Zhou Hongdi , Zhang Leilei
Published: October 2024

Rolling bearing is the core component of industrial machines, but it is difficult for common single signal source-based fault diagnosis methods to ensure reliable results since sensor signals are vulnerable to the pollution of background noises and the attenuation of transmitted information. Recently, multi-source information-based fault diagnosis methods have become popular, but the information redundancy between multiple signals is a tough problem that will negatively impact the representational capacity of deep learning algorithms and the precision of fault diagnosis methods. Besides that, the characteristics of various signals are actually different, but this problem was usually omitted by researchers, and it has potential to further improve the diagnosing performance by adaptively adjusting the feature extraction process for every input signal source. Aimed at solving the above problems, a novel model for bearing fault diagnosis called multi-branch selective fusion deep residual network is proposed in this paper. The model adopts a multi-branch structure design to enable every input signal source to have a unique feature processing channel, avoiding the information of multiple signal sources blindly coupled by convolution kernels. And in each branch, different convolution kernel sizes are assigned according to the characteristics of every input signal, fully digging the precious fault components on respective information sources. Lastly, the dropout technique is used to randomly throw out some activated neurons, alleviating the redundancy and enhancing the quality of the multiscale features extracted from different signals. The proposed method was experimentally compared with other intelligent methods on two authoritative public bearing datasets, and the experimental results prove the feasibility and superiority of the proposed model.
Design and Development of a Smart Fidget Toy Using Blockchain Technology to Improve Health Data Control
Authors: Bobrova Polina , Perego Paolo , Boiano Raffaele
Published: October 2024

This study explores the integration of blockchain technology in wearable health devices through the design and development of a Smart Fidget Toy. We aimed to investigate design challenges and opportunities of blockchain-based health devices, examine the impact of blockchain integration user experience, and assess its potential to improve data control and user trust. Using an iterative user-centered design approach, we developed a mid-fidelity prototype of a physical fidget device with a blockchain-based web application. Our key contributions include the design of a fidget toy using blockchain for secure health data management, an iterative development process balancing user needs with blockchain integration challenges, and insights into user perceptions of blockchain wearables for health. We conducted user studies, including a survey (n = 28), focus group (n = 6), interactive wireframe testing (n = 7), and prototype testing (n = 10). Our study revealed high user interest (70%) in blockchain-based data control and sharing features and improved perceived security of data (90% of users) with blockchain integration. However, we also identified challenges in user understanding of blockchain concepts, necessitating additional support. Our smart contract, deployed on the Polygon zkEVM testnet, efficiently manages data storage and retrieval while maintaining user privacy. This research advances the understanding of blockchain applications in health wearables, offering valuable insights for the future development of this field.
Predicting noise for full-scale distributed propulsion aircraft by synthesizing subscale data with existing prediction tools
Authors: CUPPOLETTI Daniel , LAVERTY Patrick , SORENSEN Peter
Published: October 2024

Future projections of the economic impact of Urban Air Mobility (UAM) or Advanced Air Mobility (AAM) are bold with global GDP increases ranging from billions to trillions over the next few decades. While the potential opportunities are vast, there will be a paradigm shift in the sheer
volume of flights at lower altitudes near populated communities. While there is still debate on the initial markets, there is a strong consensus that these aircraft must not appreciably contribute to the existing soundscape and ideally would be imperceptible in most cases. The novel designs
of many distributed propulsion aircraft are challenging the existing noise prediction tools that were primarily built around propellers, jet aircraft, and rotorcraft. This paper will present a summary of recent research efforts on synthesizing subscale experimental acoustics measurement data
with noise propagation tools to compute community noise exposure on the ground for different full-scale vehicle configurations and flight profiles. The benefits, drawbacks, and limitations of each data source will be discussed along with suggestions for how to improve the prediction methods
and models by synthesizing multiple data sets.
Effect of Airfoil thickness on low-frequency gust-airfoil interaction noise
Authors: JIANG Shujie
Published: October 2024

Interaction between turbulence and an airfoil is a significant aerodynamic noise source for many engineering applications when turbulence in the wake of upstream blades interacts with the leading edge of downstream blades. Modeling the oncoming turbulence as harmonic gusts is a common
approach to studying the noise generated by turbulence-airfoil interaction. The airfoil can be considered a compact noise source, resulting in a dipole-like sound directivity pattern when the acoustic wavelength of gust-airfoil interaction is much larger than the airfoil chord length. However,
the interaction becomes more complex when the acoustic wavelength is comparable to or smaller than the airfoil chord, as the airfoil cannot be treated as a compact source anymore and multiple lobes appear in the radiated sound directivity. This paper studies airfoil thickness effects using
a computational aeroacoustics approach based on the spectral/hp element method for low-reduced frequency gusts. It is found that the sound pressure decreases with the increase of thickness for low reduced frequency gusts. To reveal its mechanism, a semi-analytical method and the convective
FW-H equation are used for low reduced frequency to analyze the radiated noise. The interaction between sound sources on the airfoil surface is crucial for the thickness effect.
Expanded acoustic reciprocity and directivity synthesis of musical instruments using microphone array
Authors: IWAMI Takahiro , INOUE Naohisa , OMOTO Akira
Published: October 2024

The well-known acoustic reciprocity ensures the invariance of the transfer function when swapping the positions of the sound source and the receiver. This research expands acoustic reciprocity, ensuring the invariance of the transfer function when swapping the directivity of the sound
source and the receiver. The proof of this principle is based on a novel model of directional receivers, and its description is concise. Furthermore, as an application example of this principle, we propose the directivity synthesis of musical instruments using a microphone array. We can compose
arrays with a large number of transducers because normally receivers are smaller than speakers. Therefore, directivity synthesis for more complex scenarios can be achieved. In this sense, this measurement method has the advantage compared to the conventional method using speaker arrays.
A study on the difference in noise reduction between rear and side microphone on CPX measurement method through sound absorption frequency analysis
Authors: KIM Hyunjin , KIM Byungchae , RYU Seunghan , SUNG Suwhan
Published: October 2024

The road noise evaluation method in Korea is based on the 'noise vibration process test standard' by the Ministry of Environment. In this evaluation method, the noise felt at the sound-receiving point is measured as LAeq. Recently, in order to clarify the noise measurement standards
for low-noise pavements, an international standard (ISO11819-2, CPX method) was first introduced in the Porous Pavement Guidelines of the Ministry of Land, Infrastructure and Transport. According to ISO, CPX measurement method adopts side microphones as mandatory, and the rear microphone as
optional. Due to the difference in location noise level is different, causing confusion in the road noise evaluation method. Researchers have published several studies in the past that the rear microphone is highly correlated with the equivalent noise level method based on the Korean standard.
As a follow-up study to the above results, this study examines the characteristics and causes of the frequency spectrum of the rear and side microphones in the case of dense asphalt pavement and porous asphalt pavement and derives the results through frequency analysis of the sound absorption
coefficient test to determine and to contribute improving reliability and institutional rationalization of the CPX measurement method.
Development of hybrid active noise cancellation system for the children with autism spectrum disorder
Authors: KWONG Tak Chun , MUNG Steve Wai Yin , CHOY Yat Sze
Published: October 2024

Children with autism spectrum disorder often experience auditory hyperreactivity, where they find certain sounds intolerable and may exhibit negative behaviours in response to noise. While noise-cancelling headphones are commonly used to address these behavioural issues, they primarily
focus on reducing noise levels without considering the diverse auditory perceptions of children with autism. Aural perception and electroencephalography tests were conducted to design a noise-control function in headphones that cater to their individual needs. Autistic children with auditory
hyperreactivity listened to sounds of various frequencies and amplitudes and their subjective responses were analyzed. The results were utilized to determine suitable noise-attenuation targets based on a function of mean aural perception ratings and noise levels. Using these findings, a hybrid
active noise cancellation system was developed and validated. The results showed that frequencies of 250 Hz and 8 kHz were rated by the majority of the children with autism as most unpleasant. The aural perception response improved when children used headsets tailored to their specific aural
perception characteristics.
Aeroacoustic analysis of fixed- and variable-pitch controlled multirotors and noise reduction via rotor phase control
Authors: YU Kukhwan , KO Jeongwoo , AHN Byunghyun , LEE Soogab
Published: October 2024

This research conducts a comparative analysis of the aerodynamic and aeroacoustic characteristics of fixed-pitch and variable-pitch controlled multirotors (i.e., revolution per minute and collective pitch control). The study encompasses hovering and forward flight conditions, considering
wind gust effects. Specifically, high-resolution time-frequency analysis is conducted to investigate the interference and modulation effects of multirotor noise. The analysis reveals significant variations in spectral characteristics depending on the control method. Notably, the frequencies
of tonal noise from variable-pitch controlled multirotor do not exhibit short-periodic modulation, in contrast to those of fixed-pitch controlled multirotor. Considering the distinctive spectral characteristics of variable-pitch controlled multirotor, this study explores the effectiveness
of noise reduction in variable-pitch controlled multirotor by implementing rotor phase control methods. To validate the noise reduction in time series simulations, a deep learning model is employed to determine the dynamically optimized rotor phases. A multilayer perceptron neural network
was trained to derive the optimal rotor phase angles over time, considering the target observer points and flight conditions. The results demonstrate a substantial reduction in noise at the target observer points.
A study on the improvement of sound insulation performance of aluminum chassis
Authors: YU NAKYEONG , YANG Yoonsang , LEE Seung
Published: October 2024

In recent years, the automobile industry has rapidly shifted towards electric vehicles, with an increasing number of vehicles using aluminum instead of steel for a significant portion or the entire or part of the vehicle body. Aluminum body panels reduce sound insulation performance
compared to steel panels because they depend on surface density. This situation causes uncomfortable sound environment for vehicle passengers. To address the sound insulation issues associated with lightweight panels, it is necessary to research how to optimize the thickness and weight of
interior and exterior car components in order to enhance sound insulation performance. In this study, the acoustic characteristics were initially confirmed by measuring indoor noise while driving a vehicle constructed from two different materials: steel and aluminum, under the same conditions
as other parts. In addition, to select a sound absorbing material suitable for the characteristics of the vehicle body material, steel and aluminum panels were installed between the reverberation chamber and the anechoic chamber, respectively, and sound transmission loss was evaluated by combining
the various thickness and weight. Based on these results, we decided on a proposed specification (aluminum panel with weight/thickness added) above the basic specification (steel panel with existing sound insulation parts).
Sound imaging for car/mobility sounds by generative artificial intelligence
Authors: KUBO Norio
Published: October 2024

Use of generative artificial intelligence becomes popular in recent days. Especially the area of producing image, chatting and sound effects are commonly recognized to use. However it is not so much extended into product design or combinations of image and sounds. In this paper, application
examples to design car sound with generative artificial intelligence are presented. These approaches are mixed usage with image generative AI, sound generative AI and sound modification, it leads creative way of producing sound examples for future car and mobility. Lastly, with respect to
theme of inter-noise 2024, special sound design for Jules Vernes world will be presented.
Whistle or squeal? Distinguish and evaluate two typical abnormal sounds of collaborative robots
Authors: LE Liang , HUANG Yu , JIANG Weikang , NI Ke , WU Haijun
Published: October 2024

The whistle and squeal are two typical abnormal sounds among the radiated noise of running collaborative robots, indicating potential faults and causing discomfort through auditory perception. This study investigated whether psychoacoustic parameters for sound quality could distinguish
the whistle and squeal and evaluate their discomfort. A total of 20 abnormal sound stimuli, including 6 whistles and 14 squeals, were obtained from various collaborative robots. The cepstrum characteristics and sound quality metrics (i.e., roughness, sharpness, fluctuation strength and tonality)
of all stimuli were analyzed by controlling the equal loudness. Twenty-four participants rated the 'discomfort of abnormal sound in the stimuli' on an 11-point scale. The results show that the modulation frequencies of the fundamental frequency of the whistles were 2.9 Hz to 5.5 Hz, whereas
the squeals had no obvious modulation characteristics. The modulation frequencies of the fundamental frequency were highly correlated (with a correlation coefficient of 0.89) to the discomfort responses for whistles, whereas tonality was significantly correlated (with a correlation coefficient
of 0.82) to the discomfort responses for squeals. The linear models using single dependent variables of modulation frequency in cepstrum and tonality had determination coefficients of 0.77 and 0.66, respectively, in evaluating the discomfort of whistles and squeals.
Eight years of thin noise reducing asphalt layer monitoring in an urban environment
Authors: BERGIERS Anneleen , DUERINCKX Ben
Published: October 2024

The City of Antwerp initiated a pilot project on thin noise reducing asphalt layers in an urban environment with the aim to investigate the behavior of the asphalt layers from a noise perspective with respect to urban traffic without neglecting the mechanical durability. Five thin asphalt
layers were selected and compared with a reference section. The pavements were constructed in October 2016 on two different test sites. The construction was followed up extensively. The acoustical quality of the thin asphalt layers is followed up in time. Close-ProXimity (CPX) measurements
are performed according to ISO 11819-2 within certain time intervals after construction to follow up the evolution. Texture measurements according to ISO 13473 are linked to the noise measurement results. Visual inspections are performed at regular intervals. The results of eight years of
monitoring are discussed. While some test sections are already partially replaced, others are still in acceptable condition. The major concern in the STOLA project is to learn about a good balance between the noise reducing capacity of the chosen thin asphalt layers, a limited degradation
of the noise performance during its lifetime and a good mechanical performance delaying ravelling and texture changes as long as possible.
Assessment of planar array accuracy for 3D sound source reconstruction with Bayesian Focusing
Authors: CHAMBON Joannès , SéBASTIEN Paillasseur , MINCK Olivier , LANSLOTS Jeroen , DE RYCK Laurent
Published: October 2024

As planar microphone arrays were initially designed for bidimensional sound source localisation, their use for three-dimensional acoustic imaging consistently suffers from a poor resolution along the normal axis. Such a statement is already well documented for beamforming approaches
and their declensions. Bearing this in mind, this paper delves into the possibilities offered by inverse methods and especially iterative Bayesian Focusing to tackle this issue and deliver accurate source positions in three dimensions based on planar array measurements only. To this end, an
experimental set up is designed: omnidirectional sources are mounted in a wooden mock-up featuring faces at different distances from an 81 MEMs planar array. Based on this measurements, a benchmark study of sound source reconstruction on a 3D mesh of the mock-up is conducted and compared to
classical 2D acoustic maps set at different depths. The latter process is declined for various source correlation values and at extended frequency ranges. By doing so, the current paper delivers an overview of the ability to discriminate acoustic sources along the normal axis of a planar array,
on a simple and well controlled test case, with a view to provide guidelines for further applications of 3D acoustic imaging on complex geometries.
Unattended noise measurements: use of new technologies to automatically qualify noise events for greater efficiency, precision and time savings
Authors: AFLALO Erik , HUPP Thomas , AFLALO Erik , HUPP Thomas
Published: October 2024

For more than 40 years, the noise assessment in the environment has consisted of measuring and storing the time history typically every second, then marking the events using post-processing software or automatically or manually by coding. Technological advances now make it possible
to enrich the simple measurement of the time history thanks to additional data allowing a better evaluation of the measured phenomena: audio recording and AI analysis of the type of noise, analysis of the predominant direction during a noise event. We propose to present an innovative solution
based on a 3D sound intensity probe allowing the determination of the azimuth and the elevation every time a noise event occurs. The results are expressed by frequency bands and A weighted filter. The influence of the type of field (active and reactive intensity) will be developed. Particular
attention will be paid to the accuracy and the validity of the measurement as well as the limits of the principle.
Design of vibrational filters based on 3D lattice material elongated structure
Authors: BONNEVAL Théo , LANOY Maxime , TANAYS Remy , MICHON Guilhem , PELAT Adrien
Published: October 2024

This study examines the potential of elongated periodic three-dimensional lattice structures for the design of vibration filters using so-called absolute band gaps. These filters are generally obtained by modifying the total stiffness of the structure, which decreases the propagation
velocity of all wave polarisations. With a view to optimisation, we are implementing an original structure consisting of interconnected 3D beams with a sinusoidal accordion shape to control the speed of longitudinal waves. In addition, a central junction in the shape of a deformed cross controls
the speed of transverse waves. To calculate the propagation of elastic waves in such structures, we use spectral element methods that take into account the longitudinal, torsional and bending motions of three-dimensional beams. The dispersion curves are obtained by applying the Floquet-Bloch
periodicity conditions. They are analysed by a detailed study of the wave motion and polarisation. Finally, the geometrical parameters of the lattice cell are optimised using a genetic algorithm to generate the widest absolute band gap at the lowest frequency.
An experimental setup to investigate relevant validation parameters for the auralization of commercial aircraft flyovers in complex urban contexts
Authors: FATELA João , MASULLO Massimiliano , CIOFFI Federico , GRAVINA Nicola , VORLäNDER Michael , MAFFEI Luigi
Published: October 2024

Auralization has a key role in the design of immersive virtual reality tools for the study of human environments and their evolution. In soundscape and multisensory research, the validation of auralization frameworks traditionally relies on the impressions engendered by the virtual
acoustic environment on the human subjects, and whether those impressions match real-world experiences. It uses subjective surveys related to the perceptual and affective spheres of individuals. This may lead to unclear validation. In this paper, we present an experimental setup to search
for a set of relevant validation parameters for the auralization of complex urban environments involving commercial aircraft flyovers. Our investigation is tailored to the study of working and learning activities in offices or universities neighboring the flight paths. The experimental setup
focuses on the quantitative evaluation of cognitive performance instead of the classic perceptual or affective personal survey-based approach. In the experiment, subjects undergo distinct acoustic environments, synthesized from real-world binaural recordings. Simultaneously, subjects perform
memory, fluency, or puzzle-like tasks. Different cognitive performance parameters are measured throughout the experiment. The parameters most strongly correlated to the environments' acoustic events and properties are considered meaningful validation parameters.
In-situ calibration for real-time infrasound station monitoring and improved wave parameter determination
Authors: KRISTOFFERSEN Samuel , LE PICHON Alexis , VINCENT Paul , SCHWARDT Michaela , LARSONNIER Franck , PILGER Christoph
Published: October 2024

Infrasound signals can be detected using a time-delay of arrival approach to derive the back azimuth and trace velocity of the coherent wave. For these calculations, it is necessary to have a calibrated measure of the pressure. Although the calibration of microbarometers can be performed
in a laboratory setting and in the field with specific metrological means such as those developed by the CEA, it is much more difficult to determine the transfer function of the wind noise reduction systems (WNRS), designed to reduce the wind associated noise. In-situ calibration of these
WNRS's can be performed using a co-located, calibrated reference sensor. System defects, such as flooded pipes or blocked inlets, have significant impacts on the response, which in turn would influence the calculated infrasonic wave parameters. These defects can be characterized using in-situ
calibration measurements. Experiments were undertaken at the infrasound station IS26 as part of the EMPIR Infra-AUV project, using a temporary detector that was used to simulate defects on the WNRS. This allowed for the effects on real infrasound detections to be quantified and corrected using
in-situ calibrations. Additionally, case studies at IMS stations were performed demonstrating the utility of these methods on operational infrasound stations.
Validation of vibration synthesis with lumped tooth forces for electric motor NVH prediction
Authors: CHAUVICOURT Fabien
Published: October 2024

In this paper, the vibration synthesis used for the prediction of the vibration behavior of a Permanent Magnet Synchronous Machine (PMSM) is developed with Lumped Tooth Forces (LTF) and validated against a reference model. On the one hand, the reference Finite Element (FE) method applies
FE-calculated magnetic nodal forces onto a 3D FE structural model via dedicated mesh mapping. On the other hand, the vibration synthesis approach stores unitary vibration responses and uses them with decomposed forces to obtain the vibration response of the electric motor. To support the validation
process, an intermediate step will also apply the LTF on the 3D FE structural model. It will be shown that the vibration synthesis offers the same accuracy as the standard FE approach, especially when used with LTF. However, the vibration responses will show discrepancies when compared with
the complete set of nodal forces, which will highlight the importance of properly mapping the forces similarly in both methods.
Acoustic environment in classrooms for children with autism spectrum disorders: case studies in China
Authors: GUO Jiayu , KANG Jian , MA Hui
Published: October 2024

Previous studies have established that children with autism spectrum disorder (ASD) display distinct patterns in auditory signal processing compared to typically developing children. However, the acoustic environment of classrooms for children with ASD has not received sufficient attention.
This study focuses on Tianjin as a case study to understand the current situation of the classroom acoustics for children with ASD. Acoustic condition investigations were conducted in nine schools, with acoustic measurements taken in 18 classrooms. In addition, semi-structured interviews were
conducted with 15 teachers to assess the quality of classroom acoustics. The investigation and measurement revealed that there are multiple identifiable sound sources in the classrooms, and the sound pressure level values differed greatly between classrooms. This can be attributed to the lack
of proper functional zoning and room layout within schools, as well as the inadequate sound insulation in the classrooms. The interview indicated that the current acoustic environment has a negatively impact on the attention, emotion, behavior, and training of children with ASD. In summary,
the current classrooms for children with ASD do not create a favorable acoustic environment.
Road Traffic Noise Levels Estimations by means of Fully Dynamic and Microscopic Approach Compared to CNOSSOS-EU Model
Authors: PASCALE Antonio , ROSSI Domenico , MASCOLO Aurora , COELHO Margarida , GUARNACCIA Claudio
Published: October 2024

In the last decades, research has been dedicated to refining models for assessing traffic noise levels, supporting national authorities in addressing associated problems. Progress has shifted from basic statistical models to dynamic ones, typically composed of a Noise Emission Model
(NEM) for estimating source sound power levels and a sound propagation model for assessing equivalent noise levels at specific receiver points. These models commonly integrate the average speed of traffic flow as an input variable, placing them in the macroscopic or mesoscopic realm. The CNOSSOS-EU
model (reference in Europe) exemplifies this macroscopic approach. However, due to the modular structure of road traffic noise models, a NEM can be coupled with different sound propagation models, facilitating the transition from macroscopic to microscopic assessments. This paper demonstrates
the coupling of a NEM with two distinct simplified sound propagation models: CNOSSOS-EU and the sum of Sound Exposure Levels (SEL) models. The latter approach showcases the potential of using individual on-road vehicle speeds as inputs, enabling microscopic noise assessments. Vehicle speed
data is extracted from video records, while the goodness of the proposed approaches is tested by comparing the models' estimations with ground truth values recorded on a National Road in Portugal.
Study of pleasantness maps and perceived predominant sound sources in a university campus soundscape analysis
Authors: MASCOLO Aurora , ROSSI Domenico , GRIMALDI Michele , GUARNACCIA Claudio
Published: October 2024

The soundscape within a University campus is very complex, covering different environments, such as quiet areas to enhance focus during work and study sessions, parking lots, internal road networks, but also vibrant spaces for leisure purposes. These aspects depict University campuses
as a perfect example for exploring complex soundscape analyses, and innovative methodologies for its assessment and mapping. This study presents and explores field data regarding the soundscape in selected points of the Fisciano campus of the University of Salerno (Italy) collected during
a soundwalk, as well as pleasantness data obtained in crowdsourcing mode during NoiseCapture parties in the campus area. The soundwalk has been performed according to the ISO 12913, while the crowdsourced data was gathered using the NoiseCapture app. Maps of the soundscape pleasantness have
been obtained using an interpolation approach on the crowdsourced data, validated on the soundwalk results and merged with the land use and facility map, to investigate the main role of sound sources in the soundscape's pleasantness rating. The results have been also compared with the predominance
rated during the soundwalk. By comparing physical parameters, pleasantness data, and perceptual aspects, this study offers interesting insights on the complex soundscape of the university setting.
Offshore wind turbine noise propagation and the "ground effect" of the sea: a comparison of Effective Flow Resistivity (EFR) of still and moving water surfaces
Authors: HORSMAN Sean G , SHU Yang , KING Eoin A
Published: October 2024

With the proliferation of Offshore Wind Turbine (OWT) development, the potential annoyance problems caused onshore from long range propagation of noise over the sea surface generated by the turbines must be investigated thoroughly. Measurement of the Ground Effect in relation to the
sea surface is onerous and under-researched. In this suite of experiments, a method similar to that described in ANSI S1.18-1999 "Template method for Ground Impedance" is used to compare the differences in effective flow resistivity (EFR) between water surfaces that have 1) a surface
that is still, 2) gravity waves that move in the direction of the noise propagation 3) gravity waves that flow opposite the direction of noise propagation. These results are further compared to standard surfaces such as soil and concrete. The frequency response of the surface under these different
scaled-down surface gravity wave conditions may provide some insight into the behaviour of lower frequencies over the large scale surface wave conditions at sea.
Elastic spin angular momentum of zero-order flexural mode in thin rod system
Authors: ZHAO Jinfeng , ZHANG Yuxuan , HUANG Yao , PAN Yongdong
Published: October 2024

The exploration of elastic wave behaviors in solid materials has revealed their intricate topological properties in recent years, particularly highlighting the significance of a previously underappreciated characteristic known as elastic spin angular momentum. This aspect plays a crucial
role in the dynamics of elastic waves. Our research has focused on elucidating the theoretical aspects of elastic spin angular momentum, especially concerning the zero-order flexural mode in thin rod systems. Through meticulous theoretical analysis, we have deduced the nature of this angular
momentum and successfully calculated the distribution of spin within these systems. The implications of our findings are substantial, as they contribute to an enhanced physical comprehension of the topological attributes associated with the flexural mode in thin rod structures, thereby offering
new avenues for understanding material behaviors and their potential technological applications.
GROUNDS FOR AVOIDING SUSPICION IN CRIMINAL PROCEEDINGS
Authors:   National University “Odesa Law Academy’’, Lukashchuk К.
Published: October 2024

The article examines the issue of grounds for the cancellation of suspicion. It is emphasized that the presence of reasonable suspicion and the application of a preventive measure presupposes a correct written notification of a person suspected of committing a criminal offense, which must be carried out in accordance with the procedure established by law. Suspicion is a procedural decision that is made at the pre-trial investigation stage, based on the collected evidence. It is based on the assumption of the involvement of a specific person in the commission of a criminal offense and is formed on the basis of the still inconclusive results of the investigation. This decision is made by the prosecutor or the investigator with the prosecutor's approval. As a conclusion, it is emphasized that the grounds for canceling a notification of suspicion may be a violation of procedural norms and requirements of the law, as well as the absence of strong evidence to substantiate the suspicion. The decision of the investigating judge on the refusal to satisfy the complaint on the notification of the change of the previously notified suspicion may be challenged in the appeal procedure, in particular, when the procedural norms are violated or significant deficiencies in the preparation or delivery of the notification are found. At the same time, it is also important to take into account the time frame of changes to the legislation regarding the preparation and delivery of reports of suspicion. Often in judicial practice, there is a contradiction in the decision of whether a case should be investigated on the basis of evidence or only the presence and weight of this evidence. Therefore, for the effective protection of the rights and interests of the accused, it is important to have a clear understanding of procedural rules and legal principles, as well as to defend them in court on the basis of relevant evidence and well-balanced arguments. Keywords: criminal proceedings, suspicion, notification of suspicion, appeal of suspicion
Os Cantos de Freinet como facilitadores de inclusão de crianças com Transtorno do Espectro Autista
Authors: David Gabriela Pavan , Deliberato Débora
Published: October 2024

Pesquisas têm destacado diferentes estratégias para a inclusão do aluno com deficiência, evidenciando a importância da participação de todos os alunos na rotina do planejamento da escola para as atividades de interações, vivências, ensino e aprendizagem dos conteúdos e das habilidades de ler e escrever. Assim, o presente estudo teve como objetivo descrever as práticas pedagógicas de uma professora de Educação Infantil para a inclusão de um aluno com Transtorno do Espectro Autista (TEA) por meio de práticas baseadas nos cantos de trabalho. Tais práticas fundamentam-se em Lóris Malaguzzi (1971; 1975), Célestin Freinet (1976), Elkonin (1978), Carla Rinaldi (2017), Kusunoki (2018), entre outros autores e normativas vigentes. Participaram das atividades a professora de 22 anos, auxiliar de sala de 38 anos e 11 alunos de uma sala de aula regular de uma escola privada, sendo um aluno com TEA. Neste contexto foram utilizadas atividades por meio de mini-histórias e fotografias para analisar a exploração dos cantos. Os registros das práticas foram realizados por meio dos planejamentos, diários de campo, vídeos e relatórios do processo de realização das atividades. Após quatro meses de registro de atividades, o material foi organizado para análise. Os resultados identificaram que o tipo de atividade desenvolvido com os alunos contribuiu com a participação dos mesmos nos momentos de interação e vivências da turma, além de estimular o fortalecimento da construção de sua identidade e o da turma, elemento importante para a Educação Infantil. Importante destacar que há necessidade de mais pesquisas sobre a contextualização e apresentação dos cantos de Freinet como meio de desenvolvimento e inclusão dos alunos com TEA, considerando o brincar e o interagir como eixos norteadores da prática pedagógica e do currículo na Educação Infantil.
Simulación en software libre de una torre de humidificación de tiro mecánico forzado para determinar parámetros del proceso
Authors: Cueva Wilson Patricio León , Navarrete Dalemberg Benjamin Sancen , Loor Kenneth Ariel Torres , Cabrera Gabriela Viviana Armijos , Ramón Washington Omar Espinoza , Borja Edgar Jonatan Garcia
Published: October 2024

Este estudio se centró en identificar las variables clave en el diseño de una torre de humidificación de tiro mecánico forzado a escala de laboratorio. Para ello, se utilizó el software DWSIM en la simulación del proceso, estableciendo parámetros operativos para su posterior dimensionamiento con QCAD. Se analizaron las características de los fluidos de trabajo, tomando medidas del agua y del aire. El agua, proveniente de la torre de destilación del laboratorio de la Universidad Técnica de Machala, tenía una temperatura de 37 °C y un caudal de 0.0476 L/s. El aire atmosférico se encontraba a 22 °C. La simulación evaluó modelos termodinámicos como NRTL, Wilson, UNIQUAC y Peng-Robinson, determinando que este último era el más adecuado por su simplicidad y precisión en sistemas binarios como el agua y el aire. Los resultados mostraron una pérdida de calor del agua de 0.475352 kW y un aumento de la temperatura del aire a 27.3226 °C. Con estos datos, se diseñó la torre con una altura de 1.60 m, empaquetamiento de 1.28 m, área transversal de 0.25 m², ventilador de 0.25 hp y bomba de 0.5 hp. Los planos generados con QCAD podrían aplicarse en la construcción futura de la torre.