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IEEE Transactions on Artificial Intelligence 2025年第2期6卷 254-267页

作者： Akbar, Muhammad Azeem Khan, Arif Ali Liang, Peng Lappeenranta-Lahti University of Technology Software Engineering Department Lappeenranta15210 Finland University of Oulu M3S Empirical Software Engineering Research Unit Oulu90014 Finland Wuhan University School of Computer Science Wuhan430072 China

ChatGPT can improve software engineering (SE) research practices by offering efficient, accessible information analysis, and synthesis based on natural language interactions. However, ChatGPT could bring ethical challenges, encompassing plagiarism, privacy, data security, and the risk of generating biased or potentially detrimental data. This research aims to fill the given gap by elaborating on the key elements: motivators, demotivators, and ethical principles of using ChatGPT in SE research. To achieve this objective, we conducted a literature survey, identified the mentioned elements, and presented their relationships by developing a taxonomy. Furthermore, the identified literature-based elements (motivators, demotivators, and ethical principles) were empirically evaluated by conducting a comprehensive questionnaire-based survey involving SE researchers. In addition, we employed an interpretive structure modeling approach to analyze the relationships between the ethical principles of using ChatGPT in SE research and develop a level-based decision model. We further conducted a cross-impact matrix multiplication applied to classification analysis to create a cluster-based decision model. These models aim to help SE researchers devise effective strategies for ethically integrating ChatGPT into SE research by following the identified principles by adopting the motivators and addressing the demotivators. The findings of this study will establish a benchmark for incorporating ChatGPT services in SE research with an emphasis on ethical considerations. © 2020 IEEE.

关键词： Software engineering

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AREPO: Uncertainty-Aware Robot Ensemble Learning under Extreme Partial Observability

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IEEE Robotics and Automation Letters 2025年第6期10卷 5737-5744页

作者： Du, Yurui Hanut, Louis Bruyninckx, Herman Detry, Renaud Research Unit Processing Speech and Images KU Leuven Department of Electrical Engineering LeuvenB-3000 Belgium Research Unit Robotics Automation and Mechatronics KU Leuven Department of Mechanical Engineering LeuvenB-3000 Belgium

Real-world applications of vision-based robot learning face two major challenges: extreme partial observability and effective simulation-to-reality (sim-to-real) transfer. This letter introduces a robust robot learning framework that enhances uncertainty awareness to address these challenges. We reinterpret variational-autoencoder-based visual reinforcement learning (RL) from an uncertainty-quantification perspective, enabling resilience to high sensory noise and severe visual occlusions-common in industrial robotic tasks. To further improve sim-to-real transfer, we propose an uncertainty-aware ensemble RL algorithm. We validate our methods on a laboratory task designed as a proxy for real-world industrial applications characterized by harsh environments with low visibility and physical occlusions. Both simulation and real-world results demonstrate significant improvements in task accuracy and efficiency over various baselines, highlighting the benefits of uncertainty-aware robot learning for complex operational contexts. © 2016 IEEE.

关键词： Adversarial machine learning

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A Historic Look at the USDA-ARS Hydraulic engineering research unit

A Historic Look at the USDA-ARS Hydraulic Engineering Resear...

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Henry P.G. Darcy and Other Pioneers in Hydraulics

作者： Britton, Sherry L. Hanson, Gregory J. Temple, Darrel M. USDA-ARS Hydraulic Engineering Research Unit 1301 N. Western Stillwater OK 74075 United States

ISBN: (纸本)0784406839

Over the past 65 years, scientists at the USDA-ARS Hydraulic engineering research unit (HERU) in Stillwater, Oklahoma have made great strides in the design and technological development of hydraulic structures and vegetated channels. From its inception, the laboratory has gained notoriety for its accomplishments in vegetated channel design and development of design criteria for many hydraulic structures including trash racks, low-drop grade-control structures, and riprap design for rock chutes and stilling basins. Thousands of these structures and over a half-million miles of grassed waterways based on design criteria developed by the research scientists at HERU have shaped the landscape of the world into what it is today, In addition, research at the laboratory has provided field engineers with new techniques in measuring flow and soil erodibility. Today, scientists at the laboratory remain dedicated in their research efforts of hydraulic structures, channels, and issues associated with the rehabilitation of aging watershed flood-control and multi-purpose reservoirs. The purpose of the research has been and still is to assist engineers in making sound engineering decisions in their designs.

关键词： engineering research

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Multi-band terahertz graphene-based anisotropic metamaterial absorber comprised of two circular split ring resonator arrays with two gaps and a connection rod

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Optical and Quantum Electronics 2025年第3期57卷 1-18页

作者： Asgari, Somayyeh Fabritius, Tapio Optoelectronics and Measurement Techniques Research Unit Faculty of Information Technology and Electrical Engineering University of Oulu Oulu Finland

A multi-band, graphene-based anisotropic metamaterial absorber designed to operate in the terahertz (THz) range features two circular split ring resonator arrays, each with two gaps and a connecting rod. This metamaterial is simulated using the frequency domain in CST Software. In addition, equivalent circuit models (ECMs) were derived to provide alternative approach to assess the characteristics of transverse electric (TE) and transverse magnetic (TM) modes using MATLAB code. The absorber is dynamically tunable, exhibiting a strong linear dichroism (LD) response of 98% within the 0.5–5.75 THz range. It achieves a single absorption peak with a 99.9% rate in TM mode and three absorption bands with an average rate of 97.1% in TE mode. This absorber has potential applications in THz polarization-sensitive devices and systems. © The Author(s) 2025.

关键词： MATLAB

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An Integrated Setup for Sequential Hybrid Laser Beam Micromachining (LBMM) and Micro-EDM for Machining Micro-hole Arrays with Automated Tool Localization

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International Journal of Precision engineering and Manufacturing 2025年 1-18页

作者： Azhar, Wan Ahmad Bin Wan Saleh, Tanveer Autonomous Systems and Robotics Research Unit Department of Mechatronics Engineering International Islamic University Malaysia Jalan Gombak Kuala Lumpur53100 Malaysia

Micro holes array has significant applications in the field of aerospace and turbo machinery, industrial filtration, microfluidic devices, biomedical engineering, and so on. There are various ways to manufacture micro holes arrays. In order to have a cost-effective, yet precise and efficient process for the fabrication of micro holes array, an integrated setup has been introduced in this paper to combine Laser Beam Micro Machining (LBMM) and micro-EDM (μEDM). This approach uses LBMM for quick material removal and µEDM for precise finishing. However, one of the main challenges in hybrid LBMM-µEDM is the localization of LBMM micro holes for accurate positioning of μEDM electrode. In this present study, an integrated setup with automated hole localization has been presented to improve the hybrid LBMM-μEDM process in terms of alignment accuracy and machining rate. The microscope camera that is mounted on the μEDM stage scans and captures images of LBMM holes. Then, the images were stitched and processed using image processing techniques to get the center coordinate of the LBMM micro holes. Finally, the operator validated the coordinates and G-code was automatically generated for the µEDM process to perform the fine finishing. The result indicated that the alignment accuracy is within 15 μm. Furthermore, the newly developed automation strategies for the hybrid LBMM-μEDM process show significant improvement in machining time with 5 × faster than the pure μEDM process, and better performances in overcut, taper angle, and electrode wear. Furthermore, the hybrid process was found to be 1.6 × more energy efficient as compared to the pure µEDM process. Overall, the newly developed integrated system was found to be highly effective for producing micro holes array. © The Author(s), under exclusive licence to Korean Society for Precision engineering 2025.

关键词： Precision engineering

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On the use of meteorological parameters and satellite image–based indices for improving solar radiation estimation

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Environmental Science and Pollution research 2025年第1期32卷 279-297页

作者： Aliakbarzadeh, Zahra Moazenzadeh, Roozbeh Mohammadi, Babak Noroozi, Zahra Ganji Water Engineering Department Shahrood University of Technology Shahrood Iran Hydrology Research Unit Swedish Meteorological and Hydrological Institute Norrköping Sweden

Solar radiation (Rs) is a major renewable energy source and also a crucial factor in designing solar panels, determining water requirement, and irrigation scheduling. In this study, meteorological parameters (air temperature, average air temperature, and relative humidity;Scenario 1), satellite image–based indices (normalized difference vegetation index: NDVI and land surface temperature: LST;Scenario 2), and their combination (Scenario 3) were used as predictors of Rs simulator models in Mashhad watershed (2005–2015). To this end, three different transfer function algorithms of the multi-layer perceptron (MLP), namely Levenberg–Marquardt backpropagation (MLP-LVM), gradient descend backpropagation (MLP-GDB), and batch training with weight and bias learning rules (MLP-BTWB), as well as two other machine learning models, M5 Tree and XGB (eXtreme Gradient Boosting), were employed. In addition, hybrid models obtained through coupling the best MLP transfer function with genetic algorithm (MLP-LVM-GA) and coupling Variational Mode Decomposition with M5 Tree and XGB (VMD-M5 Tree and VMD-XGB, respectively) were also investigated. In the case of MLP-based models, the third scenario proved to be more efficient, with RMSEs equal to 404.2, 424.5, and 423.8 ***−***−1 for the aforementioned transfer functions, respectively. The results showed that GA coupled with the best transfer function algorithm of MLP improved Rs estimates, decreasing estimation error by 14.7, 30.65, and 32.67% in the three defined scenarios, respectively. In training set, VMD-M5 Tree and VMD-XGB hybrid models outperformed corresponding base models under all three scenarios;but in testing set, estimation error was decreased only in the third scenario (by 37 and 42%, respectively). Overall, all models (base and hybrid) had the least Rs estimation errors in the third scenario (application of both meteorological parameters and satellite image–based data). © The Author(s), under exclusive licence to Springer-

关键词： Atmospheric temperature

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Synthesis, characterization, and interfacial adhesion of titania iodine-doped nanotubes architectures on additively manufactured Ti-6Al-4 V implant

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Materialwissenschaft und Werkstofftechnik 2025年第3期56卷 438-454页

作者： Taweekitikul, P. Aliyu, A.A. Decha-Umphai, D. Tantavisut, S. Khamwannah, J. Puncreobutr, C. Lohwongwatana, B. Biomedical Engineering Program Faculty of Engineering Chulalongkorn University Bangkok10330 Thailand Trauma Unit Department of Orthopaedic Queen Savang Vadhana Memorial Hospital Chonburi20110 Thailand Biomedical Engineering Research Center Chulalongkorn University Bangkok10330 Thailand M3D Laboratory Advanced Materials Analysis Research Unit Department of Metallurgical Engineering Faculty of Engineering Chulalongkorn University Phayathai Road Wangmai Pathumwan District Bangkok10330 Thailand Biomechanics Research Center Meticuly Co. Ltd. Chulalongkorn University Bangkok10330 Thailand Hip Fracture Research Unit Department of Orthopaedic Faculty of Medicine Chulalongkorn University Bangkok10330 Thailand Department of Metallurgical Engineering Faculty of Engineering Chulalongkorn University Bangkok10330 Thailand CambridgeMA02139 United States

This study aimed to synthesize, characterize, and evaluate the adhesion strength of titania nanotubes (titania nanotubes) and iodine-doped titania nanotubes (I-titania nanotubes) architectures on the additively manufactured Ti-6Al-4 V (Ti64) implant surface. The titania nanotubes and I-titania nanotubes were synthesized through two stages of electrochemical anodization, whereby titania nanotubes are anodically fabricated through a conventional approach and then modified by replacing the ethylene glycol electrolyte with potassium iodide solution. The characterization results revealed the formation of α-Ti, β-Ti, and titanium iodide (TiI2) phases on the titania nanotubes and I-titania nanotubes surfaces. The morphology of titania nanotubes exhibits a consistent diameter, evenly distributed, well-ordered array, and densely packed nanotubular structures. Formation of a water-soluble fluoride-rich [TiF6]2 complexes in the inner titania nanotubes surface and incessant nanotube′s sidewall etching resulted in poor interfacial titania nanotubes adhesion to the titanium-substrate surface. Iodine doping on the titania nanotubes is believed to reduce the [TiF6]2 complexes accumulation and the titania nanotubes sidewall etching. This facilitates the adhesion and interfacial mechanical anchorage between the titania nanotubes and the surface of the Ti64 implant. The hardness and adhesion strength of the titania nanotubes increased by more than 50 %, due to the formation of a hard titanium iodide film at the titania nanotubes/I-titania nanotubes surfaces and interfaces. © 2025 The Author(s). Materialwissenschaft und Werkstofftechnik published by Wiley-VCH GmbH.

关键词： Potassium iodide

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Undrained bearing capacity of obliquely-eccentrically loaded shallow foundations overlying a heterogeneous and inherently anisotropic clay deposit

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Journal of Rock Mechanics and Geotechnical engineering 2025年第1期17卷 586-613页

作者： Maedeh Nasiri Pishvari Hessam Fathipour Suraparb Keawsawasvong Boonchai Ukritchon Meghdad Payan Reza Jamshidi Chenari Department of Civil Engineering Faculty of EngineeringUniversity of GuilanRashtIran Research Unit in Sciences and Innovative Technologies for Civil Engineering Infrastructures Department of Civil EngineeringThammasat School of EngineeringThammasat UniversityThailand Department of Civil Engineering.Chulalongkorn University BangkokThailand Department of Civil Engineering GeoEngineering Centre at Queen's RMCRoyal Military College of CanadaKingstonCanada

Clay deposits typically exhibit significant degrees of heterogeneity and anisotropy in their strength and stiffness *** non-monotonic responses can significantly impact the stability analysis and design of overlying shallow *** this study,the undrained bearing capacity of shallow foundations resting on inhomogeneous and anisotropic clay layers subjected to oblique-eccentric combined loading is investigated through a comprehensive series of finite element limit analysis(FELA)based on the well-established lower-bound theorem and second-order cone programming(SOCP).The heterogeneity of normally consolidated(NC)clays is simulated by adopting a well-known general model of undrained shear strength increasing linearly with *** contrast,for overconsolidated(OC)clays,the variation of undrained shear strength with depth is considered to follow a bilinear ***,the inherent anisotropy is accounted for by adopting different values of undrained shear strength along different directions within the soil medium,employing an iterative-based *** results of numerical simulations are utilized to investigate the influences of natural soil heterogeneity and inherent anisotropy on the ultimate bearing capacity,failure envelope,and failure mechanism of shallow foundations subjected to the various combinations of vertical-horizontal(V-H)and vertical-moment(V-M)loads.

关键词： Shallow foundation Bearing capacity Combined loading Undrained shear strength Inherent anisotropy Heterogeneity

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Neural Network-Integrated Multistatic Sensing for Joint Angle Estimation in Cell-Free JCAS Systems 5

Neural Network-Integrated Multistatic Sensing for Joint Angl...

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5th IEEE International Symposium on Joint Communications and Sensing, JC and S 2025

作者： Ayten, Fatih Ilter, Mehmet C. Jain, Akshay Lohan, Elena Simona Valkama, Mikko Tampere University Electrical Engineering Unit Wireless Research Center Finland Radio Systems Research Nokia Bell Labs Espoo Finland

ISBN: (纸本)9798331531652

Cell-free (CF) systems play a pivotal role in the evolution of next-generation wireless networks, as they improve spectral efficiency and coverage by eliminating the need for traditional cell boundaries. However, these systems encounter significant challenges, such as high computational complexity, scalability issues, and constraints on real-time decision-making. Meanwhile, the joint communication and sensing (JCAS) concept in wireless systems provides a framework that leverages communication signals not only for data transmission but also for accurate environmental sensing, thereby maximizing the utility of available resources. In this paper, we propose a neural network (NN)-based framework to estimate the joint angle-of-arrival (AoA)/angle-of-departure (AoD) resulting from available targets in a CF system after exploiting the communication waveforms generated by the access points (APs). In the simulation results, we first demonstrate that our proposed NN mechanism achieves comparable performance to the maximum likelihood estimation (MLE), and then show that the results are promising, proving the NN's ability to capture complex, non-linear relations between the angle values and channel estimations across a range of received signal qualities after testing with varying numbers of APs and targets. © 2025 IEEE.

关键词： Ability testing

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Seasonal analysis of boil-off gas rates in liquid hydrogen storage tank using time-series analysis

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International Journal of Hydrogen Energy 2025年 128卷 725-731页

作者： Ravichandran, Kavin Cavaliere, Pasquale Daniele Department of Innovation Engineering University of Salento Via per Arnesano Lecce73100 Italy Process Metallurgy Research Unit Faculty of Technology University of Oulu Oulu90570 Finland

The storage of liquid hydrogen (LH2) in stationary tanks poses significant challenges due to boil-off gas (BOG) losses caused by heat ingress from the external environment. This study aimed to analyze the boil-off rate (BoR) of an LH2 tank across four different seasons summer, winter, autumn and spring using daily temperature profiles to examine seasonal variations in heat transfer and their impact on hydrogen losses. A stationary LH2 tank with a volume of 5.6 m3 with multilayer insulation (MLI) and high vacuum conditions was modeled to simulate heat ingress and resulting BoR. Temperature data spanning 24 h of selective day for each season were collected and analyzed using time-series analysis, a statistical technique for examining and forecasting non-stationary data trends over time converted to a dataset. Historical temperature data were leveraged to predict seasonal variations in heat ingress and BOG generation. Additionally, the system was modeled and simulated using the software Ansys Twin Builder to accurately replicate the dynamic behavior of the tank under varying thermal conditions. An LH2 tank is modeled using Python language and then interfaced with the twin builder and for the BOG collection tank the Modelica's vessel component is used. The simulations demonstrated that the BoR exhibited significant fluctuations across the seasons, with the highest rates observed during summer due to increased ambient temperatures and reduced during winter due to lower thermal gradients. Spring and autumn(fall) showed intermediate BoR values, influenced by moderate temperature variations. The time-series analysis provided precise insights into the daily patterns of temperature-driven boil-off, validating the predictive capability of the model. The developed model successfully quantified the impact of seasonal temperature variations on LH2 boil-off in stationary tanks, offering a robust tool for optimizing insulation strategies and BOG management. The findings underscored

关键词： Hydrogen storage

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