A Comparative Study Of Cadworx Plant 2018 And Revit 2020 With Ez-Iso Add-In, For The Production Of Piping Isometrics,
2020
Technological University Dublin
A Comparative Study Of Cadworx Plant 2018 And Revit 2020 With Ez-Iso Add-In, For The Production Of Piping Isometrics, Bim Tudublin, Killian Lynch
Capstone Reports
BIM software evaluation and selection is a complex process. In this paper, a comparative study of Revit 2020 with Ez-ISO add-in, and CADWorx Plant 2018, was carried out. The aim of this study was to determine if a MEP contractor could consolidate software usage into one package, thereby reducing costs for pipework modelling and isometric production. A comprehensive evaluation was developed based on a literature review. A multicriteria decision-making method was used in conjunction with the software evaluation to ensure sound choices were made. An online survey of senior BIM professionals was conducted to validate the analysis and findings. The …
A Critical Appraisal Of Findings And Solutions To Overcome Erroneous Bim Model Production And Information Delivery Workflows,
2020
Technological University Dublin
A Critical Appraisal Of Findings And Solutions To Overcome Erroneous Bim Model Production And Information Delivery Workflows, Bim Tudublin, Ryan Forde
Capstone Reports
There are many varying definitions of Building Information Modelling, all of which reflect its transformative capabilities and impact on the construction sector. BIM is an emerging technological and procedural shift within the AEC industry (Succar, 2009). BIM is not just a technological change, but also a procedural and workflow change (Charles Eastman, 2018). Despite the growth of BIM adoption and increasing levels of maturity regarding BIM standards, numerous issues still arise at a micro level during project execution. BIM invokes the need for workflows, frameworks and processes that imparts knowledge, heightens trust, increases efficiency and consistency while reducing fragmentation and …
Thermophotovoltaic Systems For Achieving High-Solar-Fraction Hybrid Solar-Biomass Power Generation,
2020
Technological University Dublin
Thermophotovoltaic Systems For Achieving High-Solar-Fraction Hybrid Solar-Biomass Power Generation, Cm Iftekhar Hussain, Aidan Duffy, Brian Norton
Articles
Medium operating temperature hybrid solar-biomass TPV power plant design requires complex integration of multiple high temperature processes with low band-gap TPV cells. A 0.72 eV band-gap GaSb TPV cell has been used in thermophotovoltaic (TPV) systems operating at temperatures above 1400 °C. Low band-gap TPV cells, such as InGaAs (Eg = 0.55 eV) and InAs (Eg = 0.36 eV) could enable a TPV system to operate optimally at temperatures ≈1000 °C. To examine this, two hybrid solar-biomass TPV system configurations are studied using TRNSYS simulation that incorporates a new algorithm for TPV. It is found that in a high solar …
Field Assessment Of Interreplicate Variability From Eight Electromagnetic Soil Moisture Sensors,
2020
University of Nebraska–Lincoln
Field Assessment Of Interreplicate Variability From Eight Electromagnetic Soil Moisture Sensors, Tsz Him Lo, Daran Rudnick, Jasreman Singh, Hope Njuki Nakabuye, Abia Katimbo, Derek M. Heeren, Yufeng Ge
Department of Agricultural and Biological Systems Engineering: Faculty Publications
Interreplicate variability—the spread in output values among units of the same sensor subjected to essentially the same condition—can be a major source of uncertainty in sensor data. To investigate the interreplicate variability among eight electromagnetic soil moisture sensors through a field study, eight units of TDR315, CS616, CS655, HydraProbe2, EC5, 5TE, and Teros12 were installed at a depth of 0.30 m within 3 m of each other, whereas three units of AquaSpy Vector Probe were installed within 3 m of each other. The magnitude of interreplicate variability in volumetric water content (θv) was generally similar between a static …
Development And Application Of A Performance And
Operational Feasibility Guide To Facilitate Adoption
Of Soil Moisture Sensors,
2020
University of Nebraska-Lincoln
Development And Application Of A Performance And Operational Feasibility Guide To Facilitate Adoption Of Soil Moisture Sensors, Meetpal S. Kukal, Suat Irmak, Kiran Sharma
Department of Agricultural and Biological Systems Engineering: Faculty Publications
Soil moisture sensors can be effective and promising decision-making tools for diverse applications and audiences, including agricultural managers, irrigation practitioners, and researchers. Nevertheless, there exists immense adoption potential in the United States, with only 1.2 in 10 farms nationally using soil moisture sensors to decide when to irrigate. This number is much lower in the global scale. Increased adoption is likely hindered by lack of scientific support in need assessment, selection, suitability and use of these sensors. Here, through extensive field research, we address the operational feasibility of soil moisture sensors, an aspect which has been overlooked in the past, …
Prediction Of Neighbor-Dependent
Microbial Interactions From Limited
Population Data,
2020
Pacific Northwest National Laboratory
Prediction Of Neighbor-Dependent Microbial Interactions From Limited Population Data, Joon-Yong Lee, Shin Haruta, Souichiro Kato, Hans C. Bernstein, Stephen R. Lindemann, Dong-Yup Lee, Jim K. Fredrickson, Hyun-Seob Song
Department of Agricultural and Biological Systems Engineering: Faculty Publications
Modulation of interspecies interactions by the presence of neighbor species is a key ecological factor that governs dynamics and function of microbial communities, yet the development of theoretical frameworks explicit for understanding context-dependent interactions are still nascent. In a recent study, we proposed a novel rule-based inference method termed the Minimal Interspecies Interaction Adjustment (MIIA) that predicts the reorganization of interaction networks in response to the addition of new species such that the modulation in interaction coefficients caused by additional members is minimal. While the theoretical basis of MIIA was established through the previous work by assuming the full availability …
Effects Of Farrowing Stall Layout And Number Of Heat Lamps On Sow And Piglet Production Performance,
2020
Iowa State University
Effects Of Farrowing Stall Layout And Number Of Heat Lamps On Sow And Piglet Production Performance, Suzanne M. Leonard, Hongwei Xin, Tami M. Brown-Bandl, Brett C. Ramirez, Somak Dutta, Gary A. Rohrer
Department of Agricultural and Biological Systems Engineering: Faculty Publications
Most farrowing facilities in the United States use stalls and heat lamps to improve sow and piglet productivity. This study investigated these factors by comparing production outcomes for three different farrowing stall layouts (traditional, expanded creep area, expanded sow area) and use of one or two heat lamps. Data were collected on 427 sows and their litters over one year. Results showed no statistical differences due to experimental treatment for any of the production metrics recorded, excluding percent stillborn. Parity one sows had fewer piglets born alive (p < 0.001), lower percent mortality (p = 0.001) and over-lay (p = 0.003), and a …
Influence Of Watershed Characteristics On Streambed Hydraulic Conductivity Across
Multiple Stream Orders,
2020
University of Nebraska - Lincoln
Influence Of Watershed Characteristics On Streambed Hydraulic Conductivity Across Multiple Stream Orders, Olufemi P. Abimbola, Aaron R. Mittelstet, Troy E. Gilmore, Jesse T. Korus
Department of Agricultural and Biological Systems Engineering: Faculty Publications
Streambeds are critical hydrological interfaces: their physical properties regulate the rate, timing, and location of fluxes between aquifers and streams. Streambed vertical hydraulic conductivity (Kv) is a key parameter in watershed models, so understanding its spatial variability and uncertainty is essential to accurately predicting how stresses and environmental signals propagate through the hydrologic system. Most distributed modeling studies use generalized Kv estimates from column experiments or grain-size distribution, but Kv may include a wide range of orders of magnitude for a given particle size group. Thus, precisely predicting Kv spatially has remained conceptual, experimental, …
Calibration Of A Common Shortwave Multispectral Camera System For Quantitative Agricultural Applications,
2020
University of Nebraska-Lincoln
Calibration Of A Common Shortwave Multispectral Camera System For Quantitative Agricultural Applications, J. Burdette Barker, Wayne Woldt, Brian Wardlow, Christopher Michael Usher Neale, Mitchell S. Maguire, Bryan Leavitt, Derek M. Heeren
Department of Agricultural and Biological Systems Engineering: Faculty Publications
Unmanned aerial systems (UAS) for collecting multispectral imagery of agricultural fields are becoming more affordable and accessible. However, there is need to validate calibration of sensors on these systems when using them for quantitative analyses such as evapotranspiration, and other modeling for agricultural applications. The results of laboratory testing of a MicaSense (Seattle, WA, USA) RedEdge™ 3 multispectral camera and MicaSense Downwelling Light Sensor (irradiance sensor) system using a calibrated integrating sphere were presented. Responses of the camera and irradiance sensor were linear over many light levels and became non-linear at light levels below expected real-world, field conditions. Simple linear …
High-Throughput Screening Of Clinically Approved Drugs That Prime Nonviral Gene Delivery To Human Mesenchymal Stem Cells,
2020
University of Nebraska-Lincoln
High-Throughput Screening Of Clinically Approved Drugs That Prime Nonviral Gene Delivery To Human Mesenchymal Stem Cells, Tyler Kozisek, Andrew Hamann, Albert Nguyen, Michael Miller, Sarah Plautz, Angela K. Pannier
Department of Agricultural and Biological Systems Engineering: Faculty Publications
Background: Human mesenchymal stem cells (hMSCs) are intensely researched for applications in cell therapeutics due to their unique properties, however, intrinsic therapeutic properties of hMSCs could be enhanced by genetic modification. Viral transduction is efficient, but suffers from safety issues. Conversely, nonviral gene delivery, while safer compared to viral, suffers from inefficiency and cytotoxicity, especially in hMSCs. To address the shortcomings of nonviral gene delivery to hMSCs, our lab has previously demonstrated that pharmacological ‘priming’ of hMSCs with the glucocorticoid dexamethasone can significantly increase transfection in hMSCs by modulating transfection-induced cytotoxicity. This work seeks to establish a library of transfection …
An Automated Seepage Meter For Streams And Lakes,
2020
University of Utah
An Automated Seepage Meter For Streams And Lakes, D. Kip Solomon, Eric Humphrey, Troy E. Gilmore, David P. Genereux, Vitaly Zlotnik
Department of Agricultural and Biological Systems Engineering: Faculty Publications
We describe a new automatic seepage meter for use in soft bottom streams and lakes. The meter utilizes a thin‐walled tube that is inserted into the streambed or lakebed. A hole in the side of the tube is fitted with an electric valve. Prior to the test, the valve is open and the water level inside the tube is the same as the water level outside the tube. The test starts with closure of the valve, and the water level inside the tube changes as it moves toward the equilibrium hydraulic head that exists at the bottom of the tube. …
Deep Learning Predicts Microbial Interactions From Self-Organized Spatiotemporal Patterns,
2020
Pacific Northwest National Laboratory
Deep Learning Predicts Microbial Interactions From Self-Organized Spatiotemporal Patterns, Joon-Yong Lee, Natalie C. Sadler, Robert G. Egbert, Christopher R. Anderton, Kirsten S. Hofmockel, Janet K. Jansson, Hyun-Seob Song
Department of Agricultural and Biological Systems Engineering: Faculty Publications
Microbial communities organize into spatial patterns that are largely governed by interspecies interactions. This phenomenon is an important metric for understanding community functional dynamics, yet the use of spatial patterns for predicting microbial interactions is currently lacking. Here we propose supervised deep learning as a new tool for network inference. An agent-based model was used to simulate the spatiotemporal evolution of two interacting organisms under diverse growth and interaction scenarios, the data of which was subsequently used to train deep neural networks. For small-size domains (100 mm x 100 mm) over which interaction coefficients are assumed to be invariant, we …
Swine Slurry Characteristics As Affected By Selected Additives And Disinfectants,
2020
University of Nebraska - Lincoln
Swine Slurry Characteristics As Affected By Selected Additives And Disinfectants, Jon Duerschner, Shannon L. Bartelt-Hunt, Kent Eskridge, John E. Gilley, Xu Li, Amy M. Schmidt, Daniel D. Snow
Department of Agricultural and Biological Systems Engineering: Faculty Publications
Current swine industry practice is to house animals in confinement facilities which capture and store feces and urine as slurry in pits below the production area. Additives and disinfectants may be introduced into the manure pits. This study was conducted to measure the effects of additives and disinfectants on temporal changes in swine slurry characteristics. Slurry from a commercial swine production facility in southeast Nebraska, USA was collected and transferred to 57 L reactors located within a greenhouse. Selected additives and disinfectants were added to the reactors and physical properties, chemical characteristics, and antibiotic concentrations were monitored for 40 days. …
Evaluation Of Low-Cost Depth Cameras For Agricultural Applications,
2020
“Luiz de Queiroz” College of Agriculture & University of Nebraska-Lincoln & University of Illinois at Urbana Champaign
Evaluation Of Low-Cost Depth Cameras For Agricultural Applications, Isabella C.F.S. Condotta, T. M. Brown-Brandl, Santosh Pitla, John P. Stinn, Késia O. Silva-Miranda
Department of Agricultural and Biological Systems Engineering: Faculty Publications
Low-cost depth-cameras have been used in many agricultural applications with reported advantages of low cost, reliability and speed of measurement. However, some problems were also reported and seem to be technology- related, so understanding the limitations of each type of depth camera technology could provide a basis for technology selection and the development of research involving its use. The cameras use one or a combination of two of the three available technologies: structured light, time-of-flight (ToF), and stereoscopy. The objectives were to evaluate these different technologies for depth sensing, including measuring accuracy and repeatability of distance data and measurements at …
Ultrasmall Mixed Eu−Gd Oxide Nanoparticles For Multimodal
Fluorescence And Magnetic Resonance Imaging Of Passive
Accumulation And Retention In Tbi,
2020
University of Nebraska - Lincoln
Ultrasmall Mixed Eu−Gd Oxide Nanoparticles For Multimodal Fluorescence And Magnetic Resonance Imaging Of Passive Accumulation And Retention In Tbi, Badrul Alam Bony, Hunter A. Miller, Aria W. Tarudji, Connor C. Gee, Anandakumar Sarella, Michael G. Nichols, Forrest Kievit
Department of Agricultural and Biological Systems Engineering: Faculty Publications
Traumatic brain injury (TBI) is a leading cause of death and disability worldwide. TBI can have a long-term impact on the quality of life for survivors of all ages. However, there remains no approved treatment that improves outcomes following TBI, which is partially due to poor delivery of therapies into the brain. Therefore, there is a significant unmet need to develop more effective delivery strategies that increase the accumulation and retention of potentially efficacious treatments in the injured brain. Recent work has revealed that nanoparticles (NPs) may offer a promising approach for site-specific delivery; however, a detailed understanding of the …
Optimal Depth Jump Height Quantified As Percentage Of Athlete Stature,
2020
University of Nebraska - Lincoln
Optimal Depth Jump Height Quantified As Percentage Of Athlete Stature, Curtis L. Tomasevicz, Ryan Hasenkamp, Jack W. Ransone, David Jones
Department of Agricultural and Biological Systems Engineering: Faculty Publications
Purpose: An individual’s optimal depth jump platform height provides a resistive force which allows an athlete to rebound with substantial velocity resulting in maximum power exertion. The objective of this investigation was to show that the optimal platform height in a depth jump can be quantified as a percentage of individual body stature which can serve as measurable quantified value. Although athlete height is not highly correlated to power ability nor does a universal height exist, this value can provide a basis for a rehabilitation or strength and conditioning program. The desired intensity of a program can be prescribed as …
Comparison Of Object Detection And Patch-Based Classification Deep Learning Models On Mid- To Late-Season Weed Detection In Uav Imagery,
2020
University of Nebraska - Lincoln
Comparison Of Object Detection And Patch-Based Classification Deep Learning Models On Mid- To Late-Season Weed Detection In Uav Imagery, Arun Narenthiran Veeranampalayam Sivakumar, Jiating Li, Stephen Scott, Eric T. Psota, Amit J. Jhala, Joe D. Luck, Yeyin Shi
Department of Agricultural and Biological Systems Engineering: Faculty Publications
Mid- to late-season weeds that escape from the routine early-season weed management threaten agricultural production by creating a large number of seeds for several future growing seasons. Rapid and accurate detection of weed patches in field is the first step of site-specific weed management. In this study, object detection-based convolutional neural network models were trained and evaluated over low-altitude unmanned aerial vehicle (UAV) imagery for mid- to late-season weed detection in soybean fields. The performance of two object detection models, Faster RCNN and the Single Shot Detector (SSD), were evaluated and compared in terms of weed detection performance using mean …
Representing Organic Matter Thermodynamics In Biogeochemical Reations Via Substrate-Explicit Modeling,
2020
Pacific Northwest National Laboratory, Richland & University of Nebraska - Lincoln
Representing Organic Matter Thermodynamics In Biogeochemical Reations Via Substrate-Explicit Modeling, Hyun-Seob Song, James C. Stegen, Emily B. Graham, Joon-Yong Lee, Vanessa A. Garayburu-Caruso, William C. Nelson, Xingyuan Chen, J. David Moulton, Timothy D. Scheibe
Department of Agricultural and Biological Systems Engineering: Faculty Publications
Predictive biogeochemical modeling requires data-model integration that enables explicit representation of the sophisticated roles of microbial processes that transform substrates. Data from high-resolution organic matter (OM) characterization are increasingly available and can serve as a critical resource for this purpose, but their incorporation into biogeochemical models is often prohibited due to an over-simplified description of reaction networks. To fill this gap, we proposed a new concept of biogeochemical modeling—termed substrate-explicit modeling—that enables parameterizing OM-specific oxidative degradation pathways and reaction rates based on the thermodynamic properties of OM pools. Based on previous developments in the literature, we characterized the resulting kinetic …
Automatic Wheat Lodging Detection And Mapping In Aerial Imagery To Support High-Throughput Phenotyping And In-Season Crop Management,
2020
University of Nebraska-Lincoln & Huazhong Agricultural University & Ministry of Agriculture
Automatic Wheat Lodging Detection And Mapping In Aerial Imagery To Support High-Throughput Phenotyping And In-Season Crop Management, Biquan Zhao, Jiating Li, P. Stephen Baenziger, Vikas Belamkar, Yufeng Ge, Jian Zhang, Yeyin Shi
Department of Agricultural and Biological Systems Engineering: Faculty Publications
Latest advances in unmanned aerial vehicle (UAV) technology and convolutional neural networks (CNNs) allow us to detect crop lodging in a more precise and accurate way. However, the performance and generalization of a model capable of detecting lodging when the plants may show different spectral and morphological signatures have not been investigated much. This study investigated and compared the performance of models trained using aerial imagery collected at two growth stages of winter wheat with different canopy phenotypes. Specifically, three CNN-based models were trained with aerial imagery collected at early grain filling stage only, at physiological maturity only, and at …
High‐ And Low‐Molecular‐Weight Chitosan Act As Adjuvants During Single‐Dose Influenza A Virus Protein Vaccination Through Distinct Mechanisms,
2020
University of Nebraska-Lincoln
High‐ And Low‐Molecular‐Weight Chitosan Act As Adjuvants During Single‐Dose Influenza A Virus Protein Vaccination Through Distinct Mechanisms, Anna T. Lampe, Eric Farris, Deborah M. Brown, Angela K. Pannier
Department of Agricultural and Biological Systems Engineering: Faculty Publications
The investigation of new adjuvants is essential for the development of efficacious vaccines. Chitosan (CS), a derivative of chitin, has been shown to act as an adjuvant, improving vaccine‐induced immune responses. However, the effect of CS molecular weight (MW) on this adjuvanticity has not been investigated, despite MW having been shown to impact CS biological properties. Here, two MW variants of CS were in- vestigated for their ability to enhance vaccine‐elicited immune responses in vitro and in vivo, using a single‐dose influenza A virus (IAV) protein vaccine model. Both low‐ molecular‐weight (LMW) and high‐molecular‐weight (HMW) CS‐induced interferon regulatory factor pathway …
