North Carolina Agricultural and Technical State University

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    9765 research outputs found

    Utilizing Hybrid Deep Learning Models for Streamflow Prediction

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    Predicting streamflow with process-based models is challenging due to parameter uncertainties and streamflow complexity. Data-driven approaches provide viable alternatives without requiring physical process representation. This study introduces a hybrid deep learning framework, CNN-GRU-BiLSTM, for daily streamflow prediction. This model integrates Convolutional Neural Networks (CNN), Gated Recurrent Units (GRU), and Bidirectional Long ShortTerm Memory (BiLSTM) networks to leverage their complementary strengths. When applied to the Neuse River Basin (NRB) (North Carolina, USA), the proposed model achieved strong predictive performance, yielding a root mean square (RMSE) of 11.8 m³/s (compared to an average streamflow of 132.7 m³/s), and a mean absolute error (MAE) of 8.7 m³/s, and a Nush-Sutcliffe efficiency (NSE) of 0.994 for the testing dataset. Similar performance trends were observed in the training and validation phases. A comparative analysis against seven other deep learning and hybrid models of similar complexity highlighted the outstanding performance of the CNN-GRU-BiLSTM model across all flood events. Furthermore, its stability, robustness, and transferability were evaluated in a seasonal dataset, as well as peak floods and two locations along the river. These findings underscore the potential of hybrid deep learning models and reinforce the effectiveness of integrating multiple data-driven techniques for streamflow prediction.https://digital.library.ncat.edu/gradresearchsymposium25/1112/thumbnail.jp

    Association of Per-and Polyfluoroalkyl Substances with Pan-Cancers associated with Sex Hormones

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    Per and polyfluoroalkyl substances (PFAS) are widespread environmental contaminants with potential endocrine-disrupting properties. This study explores the relationship between exposure to multiple PFAS and pan-cancers associated with sex hormones (PCSH), accounting for non-linear interactions. Data from the National Health and Nutrition Examination Survey (NHANES) from 1999 to 2012, including 14,373 participants, were analyzed for serum concentrations of six PFAS (PFOA, PFOS, PFHxS, PFDE, PFNA, PFUA) and their association with PCSH. Statistical methods included t-tests, chi-square tests, regression analyses, and Bayesian Kernel Machine Regression (BKMR) to assess complex interactions. PFOS levels were significantly higher in individuals with PCSH (p=0.0022), and ethnicity showed a significant association with PCSH (phttps://digital.library.ncat.edu/gradresearchsymposium25/1144/thumbnail.jp

    Wearable Exoskeleton for Nuclear Waste Site Workers

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    From construction workers enduring frequent lifting and repetitive movements that strain muscles to assembly line workers whose repetitive hand movements increase the risk of carpal tunnel syndrome to dentists facing awkward hand positions that lead to wrist issues, musculoskeletal disorders (MSDs) are a pervasive challenge across various professions. While nuclear waste site workers are well-protected from external hazards such as radiation and chemical exposure by personal protective equipment (PPE), they remain vulnerable to MSDs due to the physical demands of their tasks. These disorders may result in pain and loss of function and are among the most disabling and costly conditions in the United States, according to the National Institutes of Health (NIH). Exoskeletons are designed to offload weight by providing powered assistance to joints, allowing workers to perform tasks for longer periods without fatigue. Exoskeletons offer a great avenue to assist people in conducting repetitive tasks for longer hours without fatigue and stressrelated injuries. This research aims to develop an exoskeleton to reduce musculoskeletal disorders that affect bones, muscles, joints, tendons, and nerves due to repetitive motion or overuse of muscles by using wearable exoskeletons to aid workers in nuclear waste sites.https://digital.library.ncat.edu/gradresearchsymposium25/1170/thumbnail.jp

    Navigating the Truck Parking Challenge: A Comprehensive Review of Strategies, Emerging Technologies, and Future Directions

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    Freight transportation systems play a vital role in the economy of the United States, making adequate truck parking essential for safe and efficient operations. However, a significant gap between truck parking demand and supply has led to challenges including road safety risks, regulatory noncompliance, operational inefficiencies, and environmental impacts. Despite their importance, comprehensive reviews of potential solutions for truck parking are limited. This study addresses this knowledge gap by reviewing the current truck parking management approaches, focusing on intelligent truck parking information systems, data prediction models, and truck pattern analysis. The analysis encompasses various technological solutions, including the sensing infrastructure, GPS technology, and information dissemination methods. The review also examines emerging solutions in smart parking systems and the potential adoption of these solutions to address truck parking challenges. Furthermore, the current challenges in the truck parking problem, the possible solutions, and future scopes in its implementation are also presented.https://digital.library.ncat.edu/gradresearchsymposium25/1183/thumbnail.jp

    New Farmers of America Association

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    Garden in front of two houses.https://digital.library.ncat.edu/photos/2022/thumbnail.jp

    New Farmers of America Association

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    Young man standing on steps.https://digital.library.ncat.edu/photos/1906/thumbnail.jp

    New Farmers of America Association

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    A man and woman feeding chickens in front of a wooden coop.https://digital.library.ncat.edu/photos/1925/thumbnail.jp

    New Farmers of America Association

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    People in the water and others gathered around it with a barn, house and crops in the background.https://digital.library.ncat.edu/photos/1968/thumbnail.jp

    New Farmers of America Association

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    Young men working in a field constructing a chicken coop, with two of them holding chicken wire.https://digital.library.ncat.edu/photos/1969/thumbnail.jp

    New Farmers of America Association

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    Large group of boys running in a field.https://digital.library.ncat.edu/photos/2009/thumbnail.jp

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