26800 research outputs found
Sort by
Hourly Simulated Power Production Data with Snow Loss Model at Queued Utility-Scale PV Sites Simulated as Fixed-Tilt Systems in the U.S. Eastern Interconnection for Weather Year 2019
No full textUsing 2019 weather data, we ran PySAM power production simulations for utility-scale PV sites in the U.S. Eastern Interconnection queue. Site IDs, capacities, and locations (counties) were extracted from Lawrence Berkeley National Laboratory’s Queued Up: 2024 Edition dataset. No panel mount information was provided, so all sites were assumed to be 30-degree, fixed tilt systems. Sites’ latitudes and longitudes were assumed to be the centers of the installation counties. See queued_site_metadata.csv file for individual site metadata
Hourly Simulated Power Production Data with Snow Loss Model at Queued Utility-Scale PV Sites Simulated as Fixed-Tilt Systems in the U.S. Eastern Interconnection for Weather Year 2022
No full textUsing 2022 weather data, we ran PySAM power production simulations for utility-scale PV sites in the U.S. Eastern Interconnection queue. Site IDs, capacities, and locations (counties) were extracted from Lawrence Berkeley National Laboratory’s Queued Up: 2024 Edition dataset. No panel mount information was provided, so all sites were assumed to be 30-degree, fixed tilt systems. Sites’ latitudes and longitudes were assumed to be the centers of the installation counties. Seequeued_site_metadata.csv file for individual site metadata
Hourly Simulated Power Production Data with No Snow Loss Model at Queued Utility-Scale PV Sites Simulated as Fixed-Tilt Systems in the U.S. Eastern Interconnection for Weather Year 2016
No full textUsing 2016 weather data, we ran PySAM power production simulations for utility-scale PV sites in the U.S. Eastern Interconnection queue. Site IDs, capacities, and locations (counties) were extracted from Lawrence Berkeley National Laboratory’s Queued Up: 2024 Edition dataset. No panel mount information was provided, so all sites were assumed to be 30-degree, fixed tilt systems. Sites’ latitudes and longitudes were assumed to be the centers of the installation counties. See queued_site_metadata.csv file for individual site metadata
Hourly Simulated Power Production Data with No Snow Loss Model at Queued Utility-Scale PV Sites Simulated as Fixed-Tilt Systems in the U.S. Eastern Interconnection for Weather Year 2017
No full textUsing 2017 weather data, we ran PySAM power production simulations for utility-scale PV sites in the U.S. Eastern Interconnection queue. Site IDs, capacities, and locations (counties) were extracted from Lawrence Berkeley National Laboratory’s Queued Up: 2024 Edition dataset. No panel mount information was provided, so all sites were assumed to be 30-degree, fixed tilt systems. Sites’ latitudes and longitudes were assumed to be the centers of the installation counties. See queued_site_metadata.csv file for individual site metadata
Towards Robust Polyp Segmentation: Multi-Focus Attention Network with Fine-grained Polyp Cues
No full textColorectal cancer (CRC) is one of the prominent causes of cancer-related morbidity and mortality worldwide. More AI-assisted methods are conducted for early polyp detection and segmentation to improve the screening efficacy. However, previous solutions generally exhibit weak segmentation performance due to irregular structures of polyps, while the model robustness suffers from background noise of homogeneous neighbors. To this end, we propose a novel Multi-Focus Attention Network (MFANet) to encode multi-dimensional information (i.e., scale, contour, and shape) as fine-grained cues for polyp segmentation. Concretely, a Scale-Residual-Aware Attention (SRAA) is designed to apply the residual operation over each layer of the feature pyramid architecture, which could minimize the feature interference among different scales. To improve the model robustness, a Geometry-Structure-Aware Attention (GSAA) is formulated to integrate and refine multi-dimensional geometric features via a Channel-Wise Enhance Attention (CWEA), which condenses the spatial information and recalibrates the channel importance for adaptive feature recalibration. Experiments on six public datasets indicate the effectiveness of the proposed method. Notably, on the more challenging BKAI dataset, which is featured by tiny polyps with serious interference of homogeneous neighboring region, our MFANet can outperform the state-of-the-art (SOTA) methods. Additionally, it is experimentally verified that our approach consistently exhibits better segmentation performance with higher robustness against different attack strategies (i.e., FGSM, WaNet and PGD)
Refinement or Disruption: Patterns of Critical Inquiry in Computing Ethics Assignments
No full textEthical inquiry in computing has an evolving nature, where repeated critical questioning may lead to a series of reframings of the problem. Since many computing students have experience with agile project-based courses, an iterative approach can provide a familiar entry into ethics. Agile development, however, is typically oriented around satisfaction of customer goals, while ethical inquiry requires constant questioning that may cast those goals into doubt. Does the similarity between critical ethical inquiry and iterative development provide a helpful model or breed a false familiarity? To address this question, we examine student work in a computing ethics course, involving iterative exercises using the Ethical Cycle. Through a qualitative analysis of students\u27 final projects, we examine the degree to which they take disruptive moves in their iterative inquiry, as opposed to steps of incremental refinement. We find that while most students are willing to make disruptive reformulations, the overall critical arcs of many students, including most of the high scoring students in our sample, have a refinement shape. We also find a pattern of expansive refinement that leads to a broad perspective on the moral problem with few disruptive moments. We also find critical arcs that do involve significant reformulations, but that this can indicate either a willingness to explore or a failure to engage fully in the moral problem
Hourly Simulated Power Production Data with Snow Loss Model at Queued Utility-Scale PV Sites Simulated as Single-Axis Tracking Systems in the U.S. Eastern Interconnection for Weather Year 2013
No full textUsing 2013 weather data, we ran PySAM power production simulations for utility-scale PV sites in the U.S. Eastern Interconnection queue. Site IDs, capacities, and locations (counties) were extracted from Lawrence Berkeley National Laboratory’s Queued Up: 2024 Edition dataset. No panel mount information was provided, so all sites were assumed to be single-axis tracking systems. Sites’ latitudes and longitudes were assumed to be the centers of the installation counties. See queued_site_metadata.csv file for individual site metadata
Equitable Infrastructure Management: A Systematic Literature Review
No full textTransportation infrastructure plays a vital role in driving prosperity but can also disproportionately burden communities, highlighting the importance of equity in infrastructure management. Despite over a decade of research, a comprehensive review of the state of the art and a clear research agenda across various infrastructure sectors remain lacking. Key questions include identifying primary research areas, evaluating geographic research coverage on equity across the US, and analyzing publishing trends, including top journals and publishers. This study conducts a thorough literature review on equity in infrastructure management, beginning with representative keywords to screen 1,405 articles from the Scopus database. Using Natural Language Processing techniques, relevant papers were filtered, resulting in 279 articles selected for in-depth analysis. Text mining approaches, including thematic analysis and topic modeling, provided insights into current research trends, gaps, and opportunities for advancing equity-related studies in infrastructure management. Findings emphasize the need for expanded geographic diversity, interdisciplinary collaboration, and broader research thrusts to advance equitable infrastructure systems
Single-Step Conversion of Metal Impurities in CNTs to Electroactive Metallic Nitride Nanoclusters for Electrochemical CO2 Reduction
No full textA novel single-step low-temperature pyrolysis method is developed to efficiently remove encapsulated Ni nanoparticles (NPs, 10–50 nm) from both regular-grade (\u3c 5 wt.% metal impurities) and industrial-grade (\u3c 10 wt.% metal impurities) carbon nanotubes (CNTs). This approach eliminates the need for conventional multi-step purification processes, which often involve high-temperature corrosive gas oxidation and acid washing. The new strategy transforms and redistributes encapsulated Ni-NPs into homogeneously sized nanoclusters (NCs, ≈1 nm) that are evenly dispersed on the surface of CNTs. Surface and bulk sensitive spectroscopic analyses reveal the predominant formation of Ni3N-NCs, along with some metallic Ni-NCs. The treated materials demonstrate exceptional electroactivity toward CO2 reduction to CO, with the best-performing CNT-PTFE-Mel-650 sample achieving an ultra-low onset overpotential of −19 mV and 98% CO selectivity in a current density range of 100–700 mA cm−2. This NC catalyst demonstrates 25% lower voltage at 700 mA cm−2 compared to the single atom catalyst (SAC) control. Experimentally verified ab initio molecular dynamics (AIMD) models are simulated, and subsequent density functional theory (DFT) calculations further support the thermodynamic stability of Ni3N-NCs and their favorability for CO2 reduction. This work establishes a new method for creating ligand-free electroactive NCs for efficient electrochemical reactions
Effects of accelerated aging conditions on the assessment of antioxidant effectiveness of asphalt binders
No full textAsphalt binders are prone to oxidative aging, which threatens the durability of asphalt pavements. Antioxidants may enhance the aging resistance of asphalt binders, but their performance is influenced by the specific aging methods. To investigate the effects of aging conditions on the assessment of antioxidant effectiveness, this study used three different accelerated aging simulation methods to treat the antioxidant-modified asphalt binders. Four types of neat asphalt binders from different sources were mixed with four antioxidants to prepare the antioxidant-modified asphalt binders. The neat and modified binders (20 combinations) were then subjected to standard aging treatment methods, i.e., rolling thin film oven (RTFO) and pressure aging vessel (PAV), to simulate the aging process. Additionally, an accelerated natural aging (ANA) method was used to characterize the kinetic oxidation process of asphalt binders. The chemical and rheological aging states of binders were characterized using Fourier Transform Infrared Spectroscopy (FTIR) and Dynamic Shear Rheometer (DSR), respectively. The test results for antioxidant-modified binders subjected to the RTFO, PAV, and ANA aging methods were compared to analyze the consistency in evaluating antioxidant effectiveness. The comparison showed that the consistency of chemical anti-aging indicators between RTFO and ANA-treated binders was only 25 %, while the consistency between PAV and ANA-treated binders was 60 %. These findings indicate that the assessment of antioxidant effectiveness in asphalt binders is significantly affected by the choice of aging method