bluuebunny/crossref_metadata_2025 huggingface dataset:
Why You Cannot Rank First: Modifications for Benchmarking Six-Degree-of-Freedom Visual Localization Algorithms
Authors: Han Sheng , Gao Wei , Hu Zhanyi
Published: December 2023

Robust and precise visual localization over extended periods of time poses a formidable challenge in the current domain of spatial vision. The primary difficulty lies in effectively addressing significant variations in appearance caused by seasonal changes (summer, winter, spring, autumn) and diverse lighting conditions (dawn, day, sunset, night). With the rapid development of related technologies, more and more relevant datasets have emerged, which has also promoted the progress of 6-DOF visual localization in both directions of autonomous vehicles and handheld devices.This manuscript endeavors to rectify the existing limitations of the current public benchmark for long-term visual localization, especially in the part on the autonomous vehicle challenge. Taking into account that autonomous vehicle datasets are primarily captured by multi-camera rigs with fixed extrinsic camera calibration and consist of serialized image sequences, we present several proposed modifications designed to enhance the rationality and comprehensiveness of the evaluation algorithm. We advocate for standardized preprocessing procedures to minimize the possibility of human intervention influencing evaluation results. These procedures involve aligning the positions of multiple cameras on the vehicle with a predetermined canonical reference system, replacing the individual camera positions with uniform vehicle poses, and incorporating sequence information to compensate for any failed localized poses. These steps are crucial in ensuring a just and accurate evaluation of algorithmic performance. Lastly, we introduce a novel indicator to resolve potential ties in the Schulze ranking among submitted methods. The inadequacies highlighted in this study are substantiated through simulations and actual experiments, which unequivocally demonstrate the necessity and effectiveness of our proposed amendments.
Saving Energy Using the Modified Heuristic Algorithm for Energy Saving (MHAES) in Software-Defined Networks
Authors: Agg Péter András , Johanyák Zsolt Csaba
Published: December 2023

Energy consumption is a significant concern in daily life, often neglected in terms of cost and environmental impact. Since IT networks play an essential role in our daily routines, energy-saving in this area is crucial. However, the implementation of energy efficiency solutions in this field have to ensure that the network performance is minimally affected. Traditional networks encounter difficulties in achieving this goal. Software-Defined Networks (SDN), which have gained popularity in the past decade, offer easy-to-use opportunities to increase energy efficiency. Features like central controllability and quick programmability can help to reduce energy consumption. In this article, a new algorithm named the Modified Heuristic Algorithm for Energy Saving (MHAES) is presented, which was compared to eight commonly used methods in different topologies for energy efficiency. The results indicate that by maintaining an appropriate load balance, one can save more energy than in case of using some other well-known procedures by applying a threshold value based on forecast, keeping only a minimal number of nodes in an active state, and ensuring that nodes not participating in packet transmission remain in sleep mode.
Analyzing Community Perception of Protected Areas to Effectively Mitigate Environmental Risks Using Qualitative Comparative Analysis: The Case of Savu Sea National Marine Park, East Nusa Tenggara, Indonesia
Authors: Paulus Chaterina Agusta , Fauzi Akhmad , Adar Damianus
Published: December 2023

The Savu Sea holds significant importance as a conservation area in Indonesia that provides sustenance and livelihoods for local communities. However, the sea is currently facing various threats, including overfishing, pollution, and the impacts of climate change. Therefore, the effective management of this conservation area relies heavily on the active participation of local communities. This study aims to address the research question “What combination of variables leads to the positive outcome of strong participation and could thus mitigate environmental risk?” These variables include the socio-economic condition of coastal households, environmental awareness, the existence of community-based conservation areas, attitudes towards activities within the conservation area, and participation in multi-stakeholder institutions. This study employs the crisp-set Qualitative Comparative Analysis (QCA) or csQCA methods. A survey was conducted among 22 coastal villages surrounding the Savu Sea, resulting in the identification of 14 different combinations of pathways that contribute to varying levels of perception regarding conservation. Of these 14 pathways, 10 were found to lead to the positive outcome of strong participation. Valuable lessons can be drawn from this study to enhance the design of policies aimed at effectively managing the Savu conservation area.
Visualizing Travel Accessibility in a Congested City Center: A GIS-Based Isochrone Model and Trip Rate Analysis Considering Sustainable Transportation Solutions
Authors: Bhellar Musrat Gul , Talpur Mir Aftab Hussain , Khahro Shabir Hussain , Ali Tauha Hussain , Javed Yasir
Published: December 2023

Urban settlements often deal with the massive transportation problems caused by mixed land-use development and improper travel services. This situation propels travel accessibility issues within urban centers. This research is intended to focus on the 3rd largest city of Pakistan’s Sindh province, i.e., Sukkur, where residents were found struggling to reach their desired destinations. The study area has naturally grown without planning guidelines, generating traffic congestion and haphazard land-use patterns. This research aims to measure accessibility within the city center using trip rate analysis and a GIS-based isochrone model (1-km radius). In total, 234 household trips were randomly considered according to Morgan’s sampling standards. The results revealed that scattered locations caused heavy traffic volumes without public transport facilities. The ratio of traveling by bike for shopping was recorded at 17.24%. Commuting by car; home-based, health, and shopping trips were ranked 1st (5.52%), 2nd (2.76%), and 3rd (1.38%), respectively. The isochrone-based maps were delineated to clarify the temporal accessibility features. Only three shopping activities were found to be accessible within 6 min. Most of the banks were found to be highly accessible. None of the health facilities were located within a 0–6 minute isochronal boundary. Two entertainment sites were accessible within 0–6 min. The residential neighborhoods were not close to the city center. Only three parks and six religious facilities were accessible within 6–12 min. The study findings clarified mixed land use activities accessed through multiple travel modes in the city center. Executing traffic management implications is a need of the time to induce sustainable transportation guidelines. Besides, the results may contribute to SDG 11.2, i.e., “affordable and sustainable transport systems” available for local commuters. The findings of this study are also relevant to evaluating the progress of some cities on SDG 11.2 regarding accessing feasible transportation services.
Digital Health Interventions for Promoting Healthy Aging: A Systematic Review of Adoption Patterns, Efficacy, and User Experience
Authors: Alruwaili Majed M. , Shaban Mostafa , Elsayed Ramadan Osama Mohamed
Published: December 2023

Background: Global population aging poses challenges for healthcare. Digital health technologies may benefit older adults through enhanced access, monitoring, and self-care. This systematic review evaluates the intersection of digital health interventions and healthy aging, focusing on adoption, efficacy, and user experience. Methods: PubMed, Embase, and Cochrane Library were systematically searched for studies on digital health technologies for adults aged 50+ years. Randomized controlled trials, observational studies, surveys, and qualitative studies were included. Outcomes were adoption rates, efficacy, and qualitative feedback. Study quality was assessed using standardized tools. Results: 15 studies were included. Adoption increased during COVID-19, but divisions persist. Barriers like technology challenges and distrust require addressing. Web-based programs and telerehabilitation demonstrated benefits for behaviors and balance. Users had positive attitudes but emphasized patient-centric, ethical design. Most efficacy data were preliminary; more rigorous trials are needed. Discussion: Digital health interventions show promise for supporting healthy aging, but thoughtful implementation strategies tailored to user needs and capacities are essential to realizing benefits equitably. More efficacy research and studies on real-world integration and ethics are warranted. Conclusions: Digital health has significant potential for promoting healthy aging through enhanced access, monitoring, and self-care. However, evidence-based, patient-centered solutions are imperative to maximize adoption, efficacy, and positive user experience for diverse older adult populations.
Stakeholder Perceptions on Sustainability Challenges and Innovations in General Aviation
Authors: Stiebe Michael
Published: December 2023

While commercial aviation has received considerable social, political, and scholarly attention, general aviation (GA) has largely operated beneath the radar of sustainability discourse. GA grapples with a spectrum of sustainability challenges, encompassing the persistent use of leaded aviation gasoline, outdated technology, evolving demographics, escalating operational costs, noise pollution, adverse environmental perceptions, and public discontent. The sustainability transition in GA, akin to other transport sectors, is an intricate, sociotechnical process necessitating the integration of stakeholder and community perspectives. Existing literature primarily concentrates on technological aspects, offering a partial view of GA stakeholder viewpoints. This paper draws on quantitative methodology and conducts several statistical analyses, foremost ANOVA, t-tests, and regressions, of data from a 2022 online survey (N = 427) involving a diverse range of GA stakeholders. This study examines sustainability consciousness and perceptions within the GA community. The findings underscore shared sustainability concerns among GA stakeholders and illustrate how sociodemographic factors such as age, gender, income, and education exert varying degrees of influence on these perceptions. Additionally, a positive relationship emerges between non-aviation-related and aviation-related sustainability consciousness. Lastly, pilots with prior experience in electric aircraft display a more favorable view of electric aviation.
Overcoming Barriers to ISPO Certification: Analyzing the Drivers of Sustainable Agricultural Adoption among Farmers
Authors: Denashurya Nugra Irianta , Nurliza  , Dolorosa Eva , Kurniati Dewi , Suswati Denah
Published: December 2023

The palm oil industry, integral to Indonesia’s economy and the United Nations Sustainable Development Goals (SDGs), faces emerging economic, environmental, and social challenges. These compel the adoption of sustainable agricultural practices, particularly in light of the Indonesian Sustainable Palm Oil (ISPO) certification system’s implementation by 2025. This study develops a model integrating Ajzen’s Theory of Planned Behavior and Rogers’ Diffusion of Innovation theory to elucidate factors influencing farmers’ adoption of sustainable palm oil farming. Data from 300 palm oil farmers in West Kalimantan, Indonesia, were analyzed using structural equation modeling. The results indicated significant positive effects in terms of attitudes, subjective norms, perceived behavioral control, relative advantage, compatibility, and trialability on sustainable practice adoption, while the complexity negatively influenced adoption. These findings underscore the need to address farmers’ motivations, social norms, perceived control, and practice advantages for successful implementation. The study offers critical insights for policymakers and practitioners to formulate strategies that encourage the voluntary adoption of sustainable practices, balancing farmers’ needs and environmental sustainability.
Soil Remediation from Metal(Loid) Pollution: Advances in Hydrotalcite-Based Intercalation Materials Research
Authors: Li Yanqi , Zhang Kaicheng , Yu Yan , He Haonuo , Su Zhenjiang , Tan Xiao , Lin Aijun
Published: December 2023

Addressing soil pollution by metals and metalloids necessitates innovative and efficient adsorbent materials. This study scrutinizes layered double hydroxides (LDHs) for their structural versatility and enhanced adsorption capabilities, pivotal in soil remediation. The paper systematically explores the structural characteristics, synthesis methods, and modification techniques of LDHs, as well as their interaction mechanisms with diverse metal(loid) species, such as anionic forms (e.g., AsO43−) and oxygenated ions (e.g., CrO42−, MnO4−). It presents a methodical review of the current understanding and progress in soil treatment strategies, emphasizing the application potential of LDHs. This comprehensive analysis not only underscores the efficacy of LDHs in decontaminating soils but also lays the groundwork for future research trajectories in environmental remediation technologies.
Modular Conjectures for Direct Product of Finite Groups
Authors: Bakhdher Eman , Alghamdi Ahmad
Published: December 2023

The representation theory of a finite group, G, is an important area of research currently. This paper studied the modular representation of finite groups, which are direct products. There are three approaches to studying this representation: the ring approach, the character approach, and the module approach. Moreover, we learned some of the important conjectures in this representation, which link a representation of a finite group and its local subgroups, which are normalizer non-trivial p-subgroups. These conjectures are the McKay conjecture, Alperin’s weight conjecture, and the ordinary weight conjecture. The main aim of the proposed paper was to investigate these conjectures of direct products, the direct summands of which satisfy these conjectures for the associated tensor product of the p-block. We obtained the results by assuming the conjectures are true. Then, we used the properties of the direct products.
A Preconditioner for Galerkin–Legendre Spectral All-at-Once System from Time-Space Fractional Diffusion Equation
Authors: Wang Meijuan , Zhang Shugong
Published: December 2023

As a model that possesses both the potentialities of Caputo time fractional diffusion equation (Caputo-TFDE) and symmetric two-sided space fractional diffusion equation (Riesz-SFDE), time-space fractional diffusion equation (TSFDE) is widely applied in scientific and engineering fields to model anomalous diffusion phenomena including subdiffusion and superdiffusion. Due to the fact that fractional operators act on both temporal and spatial derivative terms in TSFDE, efficient solving for TSFDE is important, where the key is solving the corresponding discrete system efficiently. In this paper, we derive a Galerkin–Legendre spectral all-at-once system from the TSFDE, and then we develop a preconditioner to solve this system. Symmetry property of the coefficient matrix in this all-at-once system is destroyed so that the deduced all-at-once system is more convenient for parallel computing than the traditional timing-step scheme, and the proposed preconditioner can efficiently solve the corresponding all-at-once system from TSFDE with nonsmooth solution. Moreover, some relevant theoretical analyses are provided, and several numerical results are presented to show competitiveness of the proposed method.
Cross-Camera Tracking Model and Method Based on Multi-Feature Fusion
Authors: Zhang Peng , Wang Siqi , Zhang Wei , Lei Weimin , Zhao Xinlei , Jing Qingyang , Liu Mingxin
Published: December 2023

Multi-camera video surveillance has been widely applied in crowd statistics and analysis in smart city scenarios. Most existing studies rely on appearance or motion features for cross-camera trajectory tracking, due to the changing asymmetric perspectives of multiple cameras and occlusions in crowded scenes, resulting in low accuracy and poor tracking performance. This paper proposes a tracking method that fuses appearance and motion features. An implicit social model is used to obtain motion features containing spatio-temporal information and social relations for trajectory prediction. The TransReID model is used to obtain appearance features for re-identification. Fused features are derived by integrating appearance features, spatio-temporal information and social relations. Based on the fused features, multi-round clustering is adopted to associate cross-camera objects. Exclusively employing robust pedestrian reidentification and trajectory prediction models, coupled with the real-time detector YOLOX, without any reliance on supplementary information, an IDF1 score of 70.64% is attained on typical datasets derived from AiCity2023.
The Acceptability of Pharmacy-Based HPV Vaccination in Western Kenya among Pharmacy Clients and Providers
Authors: Zhang Shengruo , Kwach Benn , Omollo Victor , Asewe Magdaline , Malen Rachel C. , Shah Parth D. , Odoyo Josephine , Mugo Nelly , Ngure Kenneth , Bukusi Elizabeth A. , Ortblad Katrina F.
Published: December 2023

Vaccine coverage for the human papillomavirus (HPV) remains low globally, and differentiated models of vaccine delivery are needed to expand access. Pharmacy-based models of the HPV vaccination may engage women who could benefit. We assessed the acceptability of such a model among pharmacy clients and providers at 20 private pharmacies in Kisumu County, Kenya. In questionnaires, participants (≥18 years) were asked the extent they agreed (5-point scale) with statements that assessed different acceptability component constructs outlined in the Theoretical Framework of Acceptability (TFA). From March to June 2022, 1500 pharmacy clients and 40 providers were enrolled and completed questionnaires. Most clients liked the intervention (TFA: affective attitude; 96%, 1435/1500) and did not think it would be hard to obtain (TFA: burden; 93%, 1399/1500). All providers agreed the intervention could reduce HPV infection (TFA: perceived effectiveness) and felt confident they could deliver it (TFA: self-efficacy). Among the clients who had received or were planning to receive the HPV vaccine in the future, half (50%, 178/358) preferred a pharmacy-based HPV vaccination. In this study, most Kenyan pharmacy clients and providers perceived a pharmacy-delivered HPV vaccination as highly acceptable; however, more research is needed to test the feasibility and effectiveness of this novel vaccine delivery model in Africa.
Self-Reported Utilization of International Guidelines for Staging Dogs with Myxomatous Mitral Valve Degeneration: A Survey among Veterinary Practitioners
Authors: van Staveren Marie D. B. , Muis Esther , Szatmári Viktor
Published: December 2023

Background: ACVIM developed and published guidelines for staging myxomatous mitral valve degeneration in dogs in 2009. An updated version was published in 2019. The present study aimed to investigate whether these guidelines are actually used by the intended public more than a decade after their first publication. Methods: An online survey was distributed among Dutch and Belgian veterinarians through online channels and mailing lists. Results: Of the 524 responses, only 363 complete surveys were analyzed. The ACVIM guidelines are used by 60% of the respondents. Veterinarians find it more difficult to differentiate stage B1 from B2 in asymptomatic dogs compared to diagnosing stage C. Three-quarters of the respondents would recommend echocardiography for an incidentally detected new murmur with an intensity of 3 out of 6 in an adult dog. Two-thirds of the respondents find coughing a convincing finding for stage C disease. Close to half of the respondents associate a horizontal, dull percussion line with pulmonary edema. For confirming cardiogenic pulmonary edema, 98% of the respondents used thoracic radiographs. Conclusions: Veterinary practitioners might not have the expected training and equipment to be able to apply the guidelines in their practices, especially in the differentiation of stage B1 from stage B2.
Influence of Natural and Social Economic Factors on Landscape Pattern Indices—The Case of the Yellow River Basin in Henan Province
Authors: Ren Suming , Zhao Heng , Zhang Honglu , Wang Fuqiang , Yang Huan
Published: December 2023

The Yellow River Basin holds significance as a vital ecological shield and economic hub within China. Adapting land utilization practices and optimizing landscape patterns are of paramount significance in preserving the ecological equilibrium of the Yellow River Basin while fostering high-quality economic development. In this study, we selected the Yellow River Basin in Henan Province as our research area. We use a land use transition matrix and FRAGSTATS 4.2 software to analyze changes in land use and landscape patterns within the study area from 1990 to 2020. Furthermore, Geographical Detector is employed to explore the impact of different natural and social economic factors that have influenced the progress of the landscape surface pattern in the study area. Finally, to identify the zonal aggregation effects of primary components in connection with landscaping feature indices at the city dimension, we use bivariate local spatial autocorrelation. The results are as follows: (1) In terms of land use change characteristics, the area of cultivated land, grassland, shrubs, and bare land shows a decreasing tendency, the area of construction land and forest land shows an increasing tendency, and the water area fluctuates and changes. Most of the cultivated land is shifted to construction land, followed by forest land, construction land, and cultivated land mainly transferred from grassland. (2) At the level of type in terms of shifting landscape patterns, cultivated land, forest land, water, and construction land have a more complex landscape shape, reduced fragmentation, and better natural connectivity. At the overall level, the overall landscape pattern indices are relatively stable, with more patch types and a more balanced distribution. (3) The findings regarding influencing factors reveal that the primary industry output value, population, secondary industry output value, and temperature are the principal driving forces behind the progress of the landscape surface pattern. The main drivers have changed over time in different regions. As indicated by the findings from bivariate local spatial autocorrelation analysis, at the city scale, the leading cause of landscape fragmentation in Luoyang is the primary industry output value, while in Xinxiang, landscape fragmentation is primarily driven by the secondary industry output value and temperature. In this study, we introduce the bivariate local spatial autocorrelation method to analyze the clustering effects of key influencing factors and landscape patterns at the city scale. This is crucial for the harmonized growth of land use planning and the urban economy in the Yellow River Basin.
Asset Management of Wastewater Interceptors Adjacent to Bodies of Water
Authors: Bani Fawwaz Mohammad Damen , Najafi Mohammad , Kaushal Vinayak
Published: December 2023

Pipeline asset management derives from pipelines’ physical conditions, condition rating, and serviceability through investigating, monitoring, and analyzing the rupture history. The remaining asset life and structural condition of the pipeline network running near and under bodies of water are often hard to predict. In case of a pipeline failure, major damage may occur to the surrounding environment, adding up to disruptions in service and repair costs. This paper develops multinomial logistic regression (MLR) and binary logistic regression models to predict how the bodies of water could affect the soil surrounding wastewater interceptors. The models were developed based on data from the City of Fort Worth, Texas. This study concludes that the pipe diameter, pipe age, location of the pipeline with reference to bodies of water (far or near), and the pipe material are the most significant variables that affect the surrounding conditions and remaining life of wastewater interceptors. In future, a clearer perception through increased software development and machine learning for managing pipeline asset management would provide impacts on different parameters on pipelines’ expected life.
Research on Subsidence Prediction Method of Water-Conducting Fracture Zone of Overlying Strata in Coal Mine Based on Grey Theory Model
Authors: Li Jinjun , He Zhihao , Piao Chunde , Chi Weiqi , Lu Yi
Published: December 2023

The development height and settlement prediction of water-conducting fracture zones caused by coal seam mining play an important role in the stability of overburden aquifers and the safety of roadways. Based on the engineering geological data of the J60 borehole in the Daliuta Coal Mine and the mining conditions of the 2−2 coal seam, China, this study established a similar material test model of mining overburden. The deformation characteristics of overlying strata in the mining process of coal seam were studied by using distributed optical fiber sensing technology, and the development height of water flowing fractured zone was determined. According to the equidistant sampling characteristics of Brillouin optical time domain reflection technology and the principle of the grey theory model, the settlement prediction model of the water-conducting fracture zone was established. By analyzing and comparing the prediction accuracy of the GM (1, 1) model, grey progressive model, and metabolic model, the optimal method for settlement prediction of the water-conducting fracture zone was discussed. The results show that, for the metabolic model, with the increase in the number of test sets and the decrease in the number of prediction sets, the mean square error ratio c and the small error probability p of the prediction accuracy evaluation parameters display a downward trend. The accuracy is related to the sudden change in the settlement of the water-conducting fracture zone caused by the breaking of the key stratum of the overlying rock. The optimal time of test sets selected for the best settlement prediction model is 7~8, and that of prediction sets selected is 5~6. For the GM (1, 1) model and the grey progressive model, the prediction accuracy of mining overburden subsidence is grade 4, which is not suitable for settlement prediction of water-flowing fractured zones.
Deep attention-based multi-task learning for underwater acoustic target recognition
Authors: Lei Menghui , Zeng Xiangyang , Jin Anqi
Published: December 2023

Underwater acoustic target recognition is a key step in underwater acoustic signal processing, which is to judge the target attributes by extracting the features of the target radiated noise. However, the traditional feature extraction method is easily affected by the complex marine
environment, resulting in a great decline in the correct recognition rate. In previous studies, the deep learning method was introduced to underwater acoustic target recognition and achieved good results. In this study, deep attention-based multi-task learning for underwater acoustic target
recognition is proposed. This strategy trains encoder, decoder, and classifier in a multi-task framework to extract features that are more essential and suitable for classification. In addition, the attention mechanism is introduced in the process of feature extraction by the encoder, and
the feature weight is given in the process of extraction, so as to improve the representation ability of the network. Experiments on measured underwater acoustic data are performed and the results show that this method can achieve a high accuracy rate in target recognition.
Admittance boundary conditions and sound pressure field estimation of vibro-acoustic systems using an extended Kalman filter and parametric model order reduction
Authors: Cai Yinshan , van Ophem Sjoerd , Desmet Wim , Deckers Elke
Published: December 2023

Time-domain vibro-acoustic finite element simulations have been recently used in auralization and virtual sensing. However, when comparing the transient response based on a finite element model to actual measurements, often discrepancies are seen due to, amongst others, the presence
of inaccurate admittance boundary conditions. To achieve accurate time-domain simulations, these uncertainties need to be included in the time-domain simulation. In this paper, the admittance boundary conditions are modelled using the superposition of several passive functions whose parameters
are considered as the additional states in an extended Kalman filter scheme. Finite element models for vibro-acoustic systems including admittance boundary conditions have a high computational cost and result in frequency-dependent damping matrices. To get a smaller time-domain model, stability-preserving
model order reduction is employed to reduce the number of degrees of freedom while maintaining a good accuracy and stability. Furthermore, to preserve the parameter dependency, parametric model order reduction based on a Taylor series expansion is employed. Experiments are performed on a vibro-acoustic
system including a foam layer which can be represented by admittance boundary conditions. These conditions are identified and it is shown that the predicted sound field pressure is improved significantly as compared to the direct time-domain simulation.
Characteristics of community responses to airport noise around Bangkok International Airport
Authors: Lertsawat Krittika , Yamada Ichiro , Yano Takashi , Onchang Rattapon , Kitsiranuwat Satanat , Boonchoo Thapana , Pimpin Alongkorn , Jirakajohnkool Supet
Published: December 2023

A social noise survey is a study of the community's response to noise. Data from a 2014-2015 noise survey of communities living around Bangkok International Airport is considered a spatial study that is important for the long-term planning of the airport development plan to prevent
noise problems from aircraft operations. This paper presents the nature of survey data on airport noise from people living around Suvarnabhumi Airport over a decade after the airport's opening in 2006. It is now planned to expand the airport's capacity to handle more air traffic volume through
runway expansion and passenger terminal expansion. The cross-sectional study is thought to be useful in future airport noise planning to avoid severe aircraft noise problems. In addition, it was an appropriate time to collect data from the field as a baseline for future airport noise management
before expanding the capacity to handle more air traffic by adding more runways and passenger terminals.
Study of non-linear filter-based algorithms for active noise control of machinary noises
Authors: Sharma Arvind Kumar , Puri Amrita
Published: December 2023

Sometimes, machinary noise comprises of non-linear deterministic noise. Therefore, it is expected that for such cases of noises, non-linear filter based active noise control algorithms can provide improved performance in terms of reduction of noise. Various non-linear filter based algorithms
explored in this paper are: Volterra filtered-x least mean square algorithm, Hammerstein algorithm, Fourier algorithm utilising Fourier non-linear filter, even mirror Fourier non-linear filter and CN filter, bilinear algorithm, Legendre algorithm, filtered-s least mean square using functional
link artifical neural network (FLANN) filter, generalised FLANN, exponential FLANN and recursive FLANN. Noise from various workshop machines like band saw, compressor and welding process were recorded using a microphone and utilised to study the algorithms. Two cases of primary paths, (a)
linear primary path and (b) non-linear primary path with cubic non-linearity, are considered for simulation study. Performance of various algorithms is evaluated based on steady-state residual noise.
Rational b-spline adaptive filter for active noise control of machinary noises
Authors: Sharma Arvind Kumar , Puri Amrita
Published: December 2023

Spline adaptive filter has a different architecture than linear-in-parameter nonlinear filters like Volterra filter. There are various kinds of splines like Bezier spline, B-spline and rational B-spline. Rational B spline has weights associated with control points and hence, provides
more flexibility than B-spline to create a curve. This paper presents development of rational b-spline adaptive filter for active noise control. Updating equations to update control points and weights of control points are derived. A simulation study is presented to study performance of proposed
rational B-spline adaptive filter to reduce machinary noises. Performance of proposed rational B-spline filter are compared with B-spline filter and Bezier filter for active noise control of experimentally recorded noises of band-saw, CNC machine and compressor
Optimisation of System Configuration Using Machine Learning as a Surrogate Model
Authors: Smith Dale , Glachan Robbie , Tranter Scott , Potter Robert
Published: December 2023

Complex mechanical systems provide a degree of reliability through redundancy. That is, they have duplicate systems, either similar or dissimilar, performing the same function. These duplicate systems will vary in their dynamic properties and may have different vibration transmission
paths due to their connections within the overall system. Therefore, the use of redundancy gives rise to different vibrational behaviour of the overall system depending on the machines selected to deliver the intended system output. In some circumstances, it is necessary to minimise vibration
levels by selecting a particular system configuration. In large complex systems consisting of multiple sources, this is not a trivial task, and virtually impossible to investigate all possible machinery combinations leading to the lowest vibration levels, whilst delivering the desired output.
To address this, a machine learning model has been trained to provide predictions of machinery vibration levels. Data are obtained using an experimental vibration rig, emulating a complex, multi-source mechanical system. The machine learning model is subsequently utilised within a genetic
algorithm optimisation routine in order to obtain the system configuration producing the lowest vibration levels at a number of observer locations for a specified system output.
Augmented-reality visual presentation of sounds for deaf and hard of hearing people
Authors: Asakura Takumi
Published: December 2023

To support deaf and hard of hearing (DHH) people by helping them detect environmental sounds in their dwellings, evaluation experiments on environmental sound recognition using a visualization device were conducted. The current study proposes an augmented reality-based system for presenting
household sounds to DHH people as visual information. The effect of displaying both the icons indicating sounds classified by machine learning and a dynamic spectrogram indicating the real-time time-frequency characteristics of the environmental sounds were examined. The results confirmed
that the comfort of daily life in residential spaces can be improved by combining not only the classification results of machine learning but also the real-time display of spectrograms.
Effect of deflection on evaluation of walking vibration of long-span Timber floor from the viewpoint of habitability
Authors: Koyama Yuhei , Yokoyama Yutaka , Nishitani Shinsuke , Fukuda Shintaro
Published: December 2023

Walking vibration can cause complaints to building users, especially on timber floor. In previous studies, it is found that there is a difference in the human evaluation for the same vibration between the sensory test result using the shaking table and the sensory test result using
the timber full-scale test floor. In this study, the factor of this difference was investigated, and it was revealed that the deflection due to the landing of the foot influences to the evaluation of the lower rigidity timber floor. Finally, adding the deflection effect, the correction method
for the previous evaluation method of walking vibration was presented.
A diffuseness of a sound field in the domains of spherical harmonics and plane waves
Authors: Tanaka Tatsuhiro , Otani Makoto
Published: December 2023

Sound field diffuseness plays a key role in room acoustics. Although several attempts have been made to characterize diffuseness quantitatively, how to quantify the extent of diffuseness has yet to be understood. This paper considers a directional diffuseness of a sound field from a
viewpoint of statistics. Using an existing approach to the evaluation of diffuseness that employs a covariance of electric acoustic signals in the spherical-harmonics domain, a limited-degree directional diffuseness is formulated. In addition, a spherical design is used to model the diffuse
sound field composed of finite number of plane waves. The formulation and the model can contribute to a better understanding of the evaluation of the diffuseness. Results also suggest that Gaussianity of a sound field in the spherical-harmonics domain can be interpreted as Gaussianity of plane
waves in the diffuse field model.
Convex combination of online secondary path modeling and improved cuckoo search for active noise control
Authors: Tu Anqi , Shi Chuang , Li Huiyong
Published: December 2023

This paper proposes an active noise control (ANC) algorithm based on convex combination of the online secondary path modeling (OSPM) and improved cuckoo search (ICS) algorithms. The ICS algorithm does not request the secondary path model to optimize the control filter. Therefore, the
ICS algorithm is theoretically not affected by a varying secondary path, but its convergence is very slow. In contrast, the OSPM algorithm achieves faster convergence but is vulnerable to a sudden change in the secondary path. The proposed ANC algorithm combines the merits of both the OSPM
and ICS algorithms by convex combination. Simulation results show that the proposed ANC algorithm can achieve better performance than the conventional ANC algorithm especially when the secondary path changes drastically.
Exploring the use of soundscape sketchpads with professionals
Authors: Yanaky Richard , Grazioli Gianluca , Zhang Ying-Ying , Guastavino Catherine
Published: December 2023

Most urban professionals (planners, designers, policy-makers) are not trained in acoustics or soundscapes. However, the decisions that they make often shape the sound environments as sound touches on many aspects on urban life, including mobility, tourism and economic development. To
better equip them to design with sound in mind, we have developed a new virtual-reality soundscape sketchpad, City Ditty, along with a short training session. A usability study revealed that users could learn basic soundscape principles and apply them to design their soundscapes in less than
an hour. Such tools are not meant to replace acoustic software, but rather complement them by providing a simple interface to sketch audio/visual soundscapes, allowing people to experience the implications of their design decisions (e.g. pedestrianization, construction sites) across different
contexts such as time of day, and season. Such sketches can act as discussion points for public consultations and help communicate requests to sound experts for further refinement. This paper extends existing work by further investigating how professionals see themselves integrating soundscape
sketchpads into their work. Which stage(s) of their projects would befit such software? How can we support collaborative designs? When is head-mounted display vs. monitors appropriate? Our new study reports on these.
Study on noise and vibration when the train passes for nursery schools located under the elevated railway
Authors: Okaniwa Takuya , Tomita Ryuta
Published: December 2023

In Japan, as news about child-care, there is a problem of waiting-list children. Demand for nursery schools is high, but there are few vacant lots around Tokyo, and voices of children playing are complained as noise. Because of lots of vacant lots and convenient for pick-up, nursery
schools located under the elevated railway increase in recent years. In 2022, There are 91 nursery schools located under the elevated railway in Tokyo, Kanagawa, Chiba, and Saitama. It will be these nursery schools are heavily influenced by noise and vibration when the train passes. But measures
sufficient against noise and vibration are necessary for the growth and health of children in nursery schools. Therefore, we surveyed of questionnaire survey for child-care workers and noise and vibration when the train passes for some nursery schools located under the elevated railway. Based
on the result of questionnaire survey for child-care workers, we consider differences between answer about noise and vibration by nursery schools. And we consider differences between measurement results about noise and vibration when the train passes for nursery schools.
Development of the ear insertion-type noise dosimeter with hearing protection
Authors: Takeda Aoi , Nakaichi Takeshi , Shibata Nobuyuki
Published: December 2023

This study developed the ear insertion-type noise dosimeter with an earpiece. This dosimeter is composed of features two microphones, one located at the ear canal entrance, and the other positioned inside the ear canal. The dosimeter calculates LAeq and LApeak at one-second intervals.
The device logs data from both the inside and outside microphones for up to 8 hours, and the recorded data can be conveniently accessed and displayed on a smartphone. The difference between the inside LAeq and the outside LAeq indicates the exposed level attenuated by the earpiece. The ear
insertion-type noise dosimeter was evaluated in a free field by using an acoustic measurement manikin (KEMAR; GRAS Inc, Denmark). Results obtained in this study showed that the differences between the LAeq in the free field and that at the entrance of the ear canal were found to be slightly
amplified by the pinna effect. Also, the LAeqs measured at the microphone that positioned inside the ear canal was consistently 3.2 dB lower on average than that recorded by KEMAR's microphone. These findings suggest that the LAeq on the eardrum can be estimated by using the LAeq measured
by the inside microphone. Additionally, the sound attenuation value can be calculated by comparing the values obtained from the outside microphones with those from the inside microphones.
Acoustic propagation simulation of closed cavity with obstacles based on finite volume method
Authors: Guo Jie , Xiao Songting , Zhang Xinyu
Published: December 2023

The propagation characteristics of sound in different cavities and cavity tube combinations are different. With reasonable design, sound will be dissipated in it to achieve noise elimination effect.Therefore, it is beneficial to optimize the structure design distribution to explore
the sound field distribution inside the mechanical structure, so as to minimize the transmitted sound through the wall.Therefore, this paper mainly discusses the sound field distribution in closed cavity and the influence of obstacles on it, providing theoretical guidance for sound insulation
design. Firstly, the advantages and disadvantages of different numerical simulation methods are discussed, and the feasibility of finite volume method in acoustic numerical simulation is expounded by comparing the methods used in commercial software. Secondly, based on the FVM, the influence
of the location and number of obstacles in the closed cavity on the sound field distribution is emphatically analyzed. The simulation results show that acoustic waves are easy to overlap near obstacles with reflection boundaries. When the number of obstacles increases, the higher-order natural
frequency increases. Therefore, in the internal design of the equipment, different sound absorbing materials can be laid on the internal obstruction to reduce the sound wave reflection.
Subjective responses on drone noise with immersive reproduction tool
Authors: Jeon Sang-Eun , Kim Ga-Young , Won Dae-Gwan , Kim Yong-Hee , Kim Sang-Ho , Lee Seung-Soo
Published: December 2023

This paper investigated the subjective effects of hovering drone noise in a laboratory environment. Five drone noise samples with varying spectral features were gathered through field measurements and presented to subjects through headphones in an auditory test room, adjusting the sound
pressure levels and considering the listener's distance from the drone. The presentation of images and videos of the hovering drones aimed to enhance the immersive experience of the subjects. The perceived loudness, noisiness, and annoyance of the drone noises were evaluated on 11-point scales.
The findings revealed that all subjective evaluations were closely linked to the overall noise levels and significantly correlated with specific tonal frequency bands. The study discussed the limit of acceptable drone noise based on the high levels of annoyance reported. The impact of visual
stimuli on noise perception was also examined by comparing results when drone images and videos were present versus absent.
Consideration of "Adaptive acoustic comfort" in Office with surveying current office
Authors: Inoue Mizuki
Published: December 2023

Recently, some companies would like to have outdoor space or natural ventilation system in their office to save energy and prevent the spread of infectious diseases. Sometimes it is difficult to achieve the traditional target noise level in such spaces. However, it is very valuable
for employees to be able to breathe fresh air, feel the breeze, and feel that the air is clean. Several surveys have shown that factors other than noise sometimes have a greater impact on space satisfaction. To design a comfortable space, we need to consider several factors while keeping the
noise level acceptable in the building design. One of the factors that influence satisfaction is human adaptability. In the field of thermal comfort, thermal comfort in outdoor or semi-outdoor spaces is called "adaptive (thermal comfort) model". It is defined in EN152513 and ASHRAE
55-2013. This paper proposes to apply the idea of an adaptive (thermal comfort) model to acoustic comfort and consider an "adaptive (acoustic comfort) model" in an open-plan office.
Variational Mode Decomposition based Vibro-Acoustic Analysis for Spur Gear Fault Detection
Authors: Hashim Shahis , Shakya Piyush
Published: December 2023

Feature extraction from dynamic response characteristics of the machinery serves as an index for quantifying its health status. Vibration response analysis based on the spectral distribution of gear-mesh frequency is the industrial norm for gearbox fault detection. Investigations based
on the efficacy of other responses, such as sound generated by the gearbox, are limited. The air pressure induced around the vicinity of the machinery may also indicate the health status. This paper studies the applicability of sound pressure signals as the basis for gear fault detection.
The paper also investigates the efficacy of combined sound and vibration analysis for fault detection. The fault detection ability of the above-mentioned single-signal analysis and combined-signal analysis are compared with traditional vibration signal analysis. Variational Mode Decomposition
and Multivariate Variational Mode Decomposition are used to extract noise-free signals centred around the required centre frequency in the case of single-signal analysis and a combined signal analysis, respectively. The study is conducted on an in-house test rig with a seeded gear tooth fault.