bluuebunny/crossref_metadata_2025_split huggingface dataset:
Analysis of motion performance and motion mode recognition in filament propulsion
Authors: Sun Weizhen , He Guoyi , Wang Qi 
Published: October 2024

Abstract
In this study, the full free motion of the filament in vortex structures is numerically simulated, and the influence of model parameters and horizontal position on the propulsion efficiency of the filament is investigated. With the “data + physics” approach with the immersed boundary method and Random Forest (RF) method, an RF model is initially employed to screen 189 sets of numerical experiments using a minimal amount of flow field physical data to select experimental groups capable of generating vortex bands. The selected experimental groups are then used to complete numerical experiments, followed by the re-introduction of a minimal amount of data and the use of the RF model to identify the motion modes of the filament. The experimental results indicate that the stretching coefficient of the filament has a negative effect on the thrust coefficient when the filament is in the vortex. The thrust of the filament decreases with increasing horizontal distance. The RF model demonstrates excellent identification capabilities, correctly classifying the vortex street structure with only three sets of data from three test points, achieving a high accuracy rate of 95% in identifying the motion modes of the filament.
Research on the impact of hydrodynamic parameter design deviation on the motion performance of fully actuated AUV
Authors: Zhao Jian , Guo Jian 
Published: October 2024

Abstract
This study, based on the Simulink simulation platform, investigates the influence of hydrodynamic parameters on the navigation speed of fully actuated Autonomous Underwater Vehicles (AUVs) and conducts a sensitivity analysis of AUV motion performance to different design deviations in hydrodynamic parameters. The results show that the velocity of underwater motion in each direction exponentially decreases as the corresponding viscous drag coefficient increases while being less influenced by viscous drag coefficients in other directions. Additionally, the sensitivity of the viscous drag coefficient to the underwater motion of AUVs is much greater than that of the inertial drag coefficient.
Ultra-short term wind power prediction method based on LightGBM and transformer
Authors: Ma Yuzhi , Ji Yaowei , He Shan , Liu Xu , Huang Jiannan , Li Meixuan 
Published: October 2024

Abstract
Accurate ultra-short-term wind power prediction is very important for the safe and stable operation of the power system. At present, most wind power forecasting systems use numerical weather forecast data and the data collected by the Supervisory Control And Data Acquisition (SCADA) system. However, these data have the characteristics of high data dimension, feature redundancy, and feature correlation. Therefore, in the process of ultra-short power prediction, it is necessary to select features with high power correlation and low cross-correlation between features. In this paper, a feature selection method for wind power prediction based on LightGBM is proposed to calculate the importance of all features and determine the preliminary selected features. Then, the maximum information coefficient is used to construct the correlation discriminant matrix, according to which the features with similar importance in a single screening are evaluated, and the input features with high similarity are discarded. In addition, in order to improve the accuracy of the system’s wind power prediction, this paper uses the effective features extracted by LightGBM to design an ultra-short-term power prediction method based on Transformer. The results show that the RMSE of ultra-short-term wind power prediction is 7.3%.
Performance-based surveillance time delay parameters calculation methods and evaluation practice
Authors: Jin Kaiyan , Liu Wei , Xu Xia , Huo Haitao , Zeng Lingjun 
Published: October 2024

Abstract
ICAO introduced the Performance-Based Surveillance (PBS) framework in 2020 to define performance requirements for surveillance systems in various operational environments. PBS allows flexibility in considering different surveillance system designs or technologies, facilitating system improvement and deployment. Implementation of PBS technology can significantly enhance aviation safety, increase airspace capacity, optimize resource allocation, improve energy efficiency, and reduce emissions, aligning with global aviation goals. However, the evaluation of time-related parameters within the PBS framework poses challenges, as methods for evaluation are not included in the ICAO PBS manual. This paper explores theoretical methods, practical implementations, and data analysis regarding critical time-related parameters in China’s Air Traffic Management (ATM) system, namely HPMDA, PAMDA, IDMUD, and FSMUD. These methods have been accepted and included in the ICAO PBS manual.
A novel locally statistical active contour model for SAR image segmentation and faster algorithm
Authors: Liu Guangming , Liu Kai , Liu Qi , Liang Jing 
Published: October 2024

Abstract
In this paper, a novel locally statistical active contour model (LACM) based on the Aubert-Aujol (AA) denoising model and variational level set method is proposed, which can be used for SAR image segmentation with intensity inhomogeneity. By simple transformation, a fast segmentation algorithm with a global optimization solver can be obtained. Experiments using some challenging synthetic images and Envisat SAR images demonstrate the superiority of our proposed models with respect to classic models. Further, we can find that the structure of the proposed algorithm is the same as that of the Transformer or RNN. We will study the nature of the above two types of algorithms to propose a more effective segmentation algorithm based on the energy model.
Hysteresis in seasonal land-atmospheric interactions over India and its characteristics across croplands and forests
Authors: Khandare Ajinkya , Murtugudde Raghu , Karthikeyan L , Ghosh Subimal 
Published: October 2024

Abstract
Satellite-derived vegetation optical depth and soil moisture (SM) data reveal the critical role of the soil-vegetation continuum in storing rainwater during the Indian Summer Monsoon and supporting evapotranspiration (ET) during the dry non-monsoon season. During the non-monsoon drier period, the climatologically estimated spatial mean of ET exceeds precipitation input, a phenomenon known as the soil–vegetation capacitor effect, which is pivotal in maintaining ecosystem productivity. Notably, our analysis reveals significant variations in the capacitor period between croplands and forests, with croplands exhibiting a ∼77 d longer due to dual crop seasons influenced by regional precipitation. The well-recognized hysteresis curves, observed in magnetization and soil–water characteristic curves, highlight phenomena where a system’s state is influenced by its historical inputs or states and are integral to our findings. We report a previously undocumented seasonal hysteresis in the relationship between the evaporative fraction (EVF) and SM for Indian croplands and forests. We further found that the croplands SM-EVF relation exhibits a reversal in hysteresis in the case of root-zone SM. The surface SM-EVF hysteresis is not present in forests with large root depths and reduced soil evaporation due to high canopy shading, and yet it is present for the root-zone SM. With its reversal for croplands, the newly found hysteresis must be addressed in redefining the critical SM threshold to demarcate the energy and water-limiting regimes. It should be incorporated in the land surface modeling parameterization. Additionally, we observed hysteresis in the SM-gross primary productivity relationship across both land covers and soil profiles (surface and root-zone), underscoring the need to investigate such processes to consider their dynamics in future ecological and hydrological models.
Real-Time Object Detection and Tracking for Occupational Health and Safety (OHS) in Mining Operations Using Streamed CCTV Data
Authors: Azhari RS , Riza LS , Megasari R , Rizky BA , Murdowati CR 
Published: October 2024

Abstract
Occupational Safety and Health (OHS) is very important in the mining industry which is prone to accident risks. Automatic detection of violations through CCTV streaming with the concept of a perimeter area is needed to prevent accidents. The purpose of this research is to create a violation detection system without re-modeling training that can adapt to different objects and regions. The proposed violation detection model includes four computational steps, namely (i) data reading, (ii) data pre-processing, (iii) object detection, and (iv) object tracking and violation detection. The computer vision technique uses the SIFT (Scale Invariant Feature Transform) algorithm and heuristics implemented with OpenCV. We used five CCTV video recordings of mining operations as examples. The results showed an average precision of 61.14%, a precision of 80.41%, and a recall of 69.38%. The average computation time of the model is 0.3 seconds per frame with heuristics that allow the model to be used in real-time. The model can be widely used in various fields and locations without having to retrain the model to improve OHS in the mining industry and other sectors with similar risks. This study will contribute to the development of a flexible, fast, and real-time automatic detection system.
Energy Efficiency of Educational Buildings Through Envelope Design Based on Field Observations and Sefaira Simulation (Case Study: FIP B Building)
Authors: Arif Rafa Qinthara , Ramadhan Try 
Published: October 2024

Abstract
The dense activity in the FIP B Building makes energy optimization in the building very important because it will impact faculty operations. This research shows deficiencies in the design of the existing FIP B building, which can be corrected through a number of aspects of change based on field observation and Sefaira Simulation that can increase the building’s energy efficiency in the form of adding skylights, creating an atrium, and increasing the window-to-wall ratio. The value of increasing the efficiency of the new model compared to the existing one is known by the Sefaira energy performance simulation for both model envelopes. The results of the simulation show that the greatest increase in efficiency is in the use of AHU fans, the second is in AHU cooling, and the lowest is in interior lighting and equipment. However, lighting usage has the potential to be more efficient with the relatively improved daylight accessibility in the new design model. The overall annual energy use and EUI level in the new model are slightly more efficient than the existing model. The result of this study provides aspects of consideration in the architectural design of campus buildings with large masses.
Sustainable Architecture Implementation of Mosque in Indonesia (Case Study: Mosque Istiqlal, Jakarta)
Authors: Satriabhawana M T 
Published: October 2024

Abstract
In the context of global dynamics influenced by climate change and environmental sustainability awareness, the implementation of sustainable architecture becomes an urgent necessity in infrastructure development. Mosques, as centers of spiritual and social activities, play an undeniable role in responding to and facing these challenges. This research focuses on Mosque Istiqlal in Jakarta, a symbol of religious and national significance in Indonesia. Mosque Istiqlal, as a case study, becomes a crucial representation of efforts to integrate principles of sustainable architecture into religious buildings. To comprehensively analyze and understand the implementation of these principles, this research aims to detail how Istiqlal Mosque creates a functional and environmentally friendly built environment. By delving into the design and construction of Istiqlal Mosque, this study employs a qualitative descriptive method, involving document analysis, field observations, and interviews with architects and stakeholders. The research results are expected to provide profound insights into the positive contributions made by the implementation of sustainable architecture in the context of mosques and serve as a foundation for the development of more sustainable mosques in Indonesia in the future. With a focus on Mosque Istiqlal, this research is anticipated to offer valuable guidance for understanding and promoting sustainability in the spiritual and architectural aspects of religious buildings.
Community centre for sustainable communities in kampung kota: a literature review
Authors: Zahrah W , Nasution A D , Sembiring D A , Andalucia  
Published: October 2024

Abstract
Sustainable development’s basic principle requires a balance between Three Es: to meet economic, environmental, and social equity needs. This paper intends to outline how sustainable communities are supported, among other things, by community engagement, which is facilitated by community centres. Kampung kota (urban villages) are in the spotlight of discussion, considering that these spatial units are real and contribute to the urban community’s network, especially in Indonesia, but are often ignored in terms of priorities for physical and social development. The first part of this paper will explain the importance of community centres in forming community social capital. The second part describes the character of kampung kota community life. The third section analyses the potential and problems of community centres as a basis for sustainable community development in kampung kota.
Gender Dynamics in the Built Environment: A Study of Madurese Taneyan Lanjhang Houses
Authors: Bhanuwati S A D , Subroto R B G 
Published: October 2024

Abstract
Gender norms as a subset of societal norms are manifested in vernacular households. In some aspects, Madurese traditional houses (Taneyan Lanjhang) define spaces according to the domains of men and women. This division implies that roles assigned to men and women are closely tied to whether those activities take place in the public or private domain. The actual experience of women and men nowadays, however, is more complex. The aim of this study is to investigate the roles of men’s and women’s familial roles in shaping their dwellings as well as inhibition of domestic space within contemporary Taneyan Lanjhang homes. This study adopts a qualitative approach with empirical and descriptive methodology. The findings are derived from Taneyan Lanjhang houses in Alang-Alang Village, Bangkalan Regency, Madura through in-depth interviews to homeowners’ activities and alterations made to the house as well as visual observation. The results suggest that there are variations in how households implement gender structural roles. The community is more inclined to egalitarian distribution of roles and spaces. In certain areas traditionally expected to be occupied by either men or women, instances of overlap and blending are evident, suggesting that some gender roles are subject to interpretation, negotiation, and changes. A strict adherence to dichotomy of gender roles is proven to be not sustainable. This study contributes to the theoretical discussion of infrastructure and sustainability by examining how gender dynamics influence the design, utilisation, and sustainability of the built environment within Taneyan Lanjang community.
Innovative Approaches to Architectural Education: Metaverse Technology and Learning Resilience
Authors: Cininta Mutiara , Santy Delvita , Irmayasari Efy Tri 
Published: October 2024

Abstract
Amid the pandemic, learning architecture online has led to heightened stress and anxiety. To mitigate these challenges, a resilient learning model is imperative. Taking Atma Jaya University Yogyakarta (UAJY) as a case study, the paper explores the impact of the COVID-19 pandemic on architecture learning, highlighting the challenge present in online architecture education. Recognising the need for resilience, the study suggests integrating virtual reality (VR) and metaverse technologies to enhance educational quality. It identifies substantial differences between online and virtual space learning, emphasising the necessity for specific design criteria in long-distance studio education. The research presents a mixed-method approach, utilising VR headsets for a prototype evaluation with five experts/lecturers and 20 architecture students. Quantitative data collected through the User Experience Questionnaire (UEQ) and qualitative insights from structured interviews reveal positive effects of metaverse adoption on learning experiences, notably reducing stress and anxiety. The study concludes by proposing virtual space design criteria, serving as guidelines for creating more engaging, stimulating, and creative learning environments. These criteria align with Sustainable Development Goal 4, promoting increased ICT skills among youth and adults and showcasing the potential of technology in transforming architectural education amidst global challenges.
Giant piezoelectricity in antiferromagnetic CrS2 and CrSe2 monolayers
Authors: Liu Yang , Wang Wei , Liu Zexuan , Zhao Bingbing , Si Chen 
Published: October 2024

Abstract
Two-dimensional (2D) materials, particularly transition metal dichalcogenides (TMDs), have garnered significant attention in the nanoscale piezoelectric field due to their high crystallinity and ability to withstand large strains. Through density-functional theory calculations, we have discovered that monolayer H-phase CrS2 and CrSe2 exhibit antiferromagnetic semiconducting properties, in contrast to the previously held belief that they were nonmagnetic (NM) semiconductors. While the piezoelectric coefficients of NM CrS2 and CrSe2 are comparable to those of MoS2, their antiferromagnetic ground states demonstrate significantly enhanced piezoelectric coefficients (

d

11

) of 27.66 pm V−1 and 52.36 pm V−1, respectively. These values exceed that of MoS2 by an order of magnitude, marking the highest recorded for TMD materials and the highest in 2D magnetic materials to date. The greatly enhanced piezoelectric responses in the antiferromagnetic states of CrS2 and CrSe2 compared to their NM states arise from three primary factors. Firstly, the displacement of the Wannier center under strain is more pronounced in the antiferromagnetic state, leading to a greater change in dipole moment (enhanced clamped-ion contribution). Secondly, there is a heightened polarization change due to internal atomic distortions (internal-strain term) in response to macroscopic strain in the antiferromagnetic state. Thirdly, the material undergoes a softening of the elastic coefficient in its antiferromagnetic state. These findings open new avenues for designing high-performance piezoelectric and magnetic multifunctional materials.
Significance of organic and inorganic fertilizers in maintaining soil fertility and increasing crop productivity in Ethiopia: a review
Authors: Wato Tamirat , Negash Tilahun , Andualem Alemu , Bitew Amare 
Published: October 2024

Abstract
Ethiopia’s economy has been significantly influenced by agriculture. However, it is unable to feed the nation’s expanding population. One of the most significant obstacles to improving food production in Ethiopia is the declining soil fertility. Various development measures, including the intensification of agriculture using contemporary agricultural technologies, have been implemented to enhance the underwhelming performance of agriculture. One of the contemporary agricultural technologies introduced into Ethiopian agriculture is fertilizer, which helps smallholder farmers produce more effectively. Although there was a focus on promoting the use of these newly introduced technologies, exploratory findings showed that many farmers did not do so. Hence, this study aimed to review the different effects of organic and inorganic fertilizers on soil fertility and crop production, as well as their economic role in the country, specifically, the importance and value of organic and inorganic fertilizers, the significance of organic fertilizer application to enhance crop production, and the constraints of organic and inorganic fertilizers that affect farmers or users. Regarding soil health, balancing the use of organic and inorganic fertilizers can be beneficial for soil health and sustainable agriculture. Incorporating organic matter through composting and manure application improves soil structure and fertility over time, while judicious use of synthetic fertilizers can provide targeted nutrient supplementation when needed. Additionally, employing practices such as crop rotation, cover cropping, and soil conservation measures can further enhance soil health and minimize environmental impacts and as a result, it can optimize yields of crops.
Manufacturing strategies for highly sensitive and self-powered piezoelectric and triboelectric tactile sensors
Authors: Park Hyosik , Gbadam Gerald Selasie , Niu Simiao , Ryu Hanjun , Lee Ju-Hyuck 
Published: October 2024

Abstract
Piezoelectric and triboelectric effects are of growing interest for facilitating high-sensitivity and self-powered tactile sensor applications. The working principles of piezoelectric and triboelectric nanogenerators provide strategies for enhancing output voltage signals to achieve high sensitivity. Increasing the piezoelectric constant and surface triboelectric charge density are key factors in this enhancement. Methods such as annealing processes, doping techniques, grain orientation controls, crystallinity controls, and composite structures can effectively enhance the piezoelectric constant. For increasing triboelectric output, surface plasma treatment, charge injection, microstructuring, control of dielectric constant, and structural modification are effective methods. The fabrication methods present significant opportunities in tactile sensor applications. This review article summarizes the overall piezoelectric and triboelectric fabrication processes from materials to device aspects. It highlights applications in pressure, touch, bending, texture, distance, and material recognition sensors. The conclusion section addresses challenges and research opportunities, such as limited flexibility, stretchability, decoupling from multi-stimuli, multifunctional sensors, and data processing.
Enhancing surface integrity of additively manufactured Inconel 718 through numerical modeling of hydrostatic ball burnishing parameters using TOPSIS and ANOVA
Authors: Vignesh Gopal , Oyyaravelu Ramachandran 
Published: October 2024

Abstract
Surface enhancement of laser powder bed fusion components is pivotal for their suitability in end-use applications. Hydrostatic ball burnishing, a mechanical surface hardening technique, induces compressive residual stress on the surface by the application of hydraulic force resulting in improved fatigue life of the material. This present study focuses on determining the optimum burnishing parameter combinations for better surface integrity (roughness, hardness, and residual stress) utilizing ANOVA and TOPSIS analysis. The cumulative performance score of the TOPSIS analysis states that the best parameter combination for Inconel 718 is found to be 300 bar pressure, 0.2 mm burnishing width, and feed 800 mm min−1. The adjusted R2 values of the ANOVA model for all three responses are 0.96, 0.93, and 0.94, confirming their close agreement with experimental results. With optimum parameters, the roughness decreased from 2.217 μm to 0.305 μm, Microhardness increased from 318 9HV to 475 9HV and residual stress was converted from tensile 216 MPa to Compressive −54 MPa demonstrating the significance of this process on surface enhancement.