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Generating Partial Civil Information Model Views Using A Semantic Information Retrieval Approach, Tuyen Le, H. David Jeong, Stephen B. Gilbert, Evgeny Chukharev-Hudilainen 2020 Clemson University

Generating Partial Civil Information Model Views Using A Semantic Information Retrieval Approach, Tuyen Le, H. David Jeong, Stephen B. Gilbert, Evgeny Chukharev-Hudilainen

Industrial and Manufacturing Systems Engineering Publications

Open data standards (e.g. LandXML, TransXML, CityGML) are a key to addressing the interoperability issue in exchanging civil information modeling (CIM) data throughout the project life-cycle. Since these schemas include rich sets of data types covering a wide range of assets and disciplines, model view definitions (MVDs) which define subsets of a schema are required to specify what types of data to be shared in accordance with a specific exchange scenario. The traditional procedure for generating and implementing MVDs is time-consuming and laborious as entities and attributes relevant to a particular data exchange context are manually identified by domain ...


Spatial Analysis Of The Infrastructural Demands Of Integrating 5g Technology: A Case Study In The City Of Detroit, Gregory Putman 2020 Michigan Technological University

Spatial Analysis Of The Infrastructural Demands Of Integrating 5g Technology: A Case Study In The City Of Detroit, Gregory Putman

Dissertations, Master's Theses and Master's Reports

The invention of 5G technology is expected to revolutionize wireless communication, technology, and capabilities. One major challenge in realizing this vision is the actual deployment of 5G nodes and the development of 5G network infrastructure. Higher frequency and shorter wavelengths that are characteristic of 5G technology is expected to decrease signal range radii of 5G nodes, which could have serious implications for the implementation of a 5G network. This study assessed cell signal density and cell signal coverage that could be achieved using existing 4G infrastructure in the city of Detroit. Results indicate that existing infrastructure is not capable of ...


A Computational Analysis Of Marine Fenders Under Heavy Weather Mooring Conditions, Zachary Eskew 2020 University of North Florida

A Computational Analysis Of Marine Fenders Under Heavy Weather Mooring Conditions, Zachary Eskew

UNF Graduate Theses and Dissertations

Dynamic loading of marine fenders is a situation that is unique to the United States Navy (USN), due to the use of Heavy Weather Mooring (HWM) for naval vessels during extreme weather events, such as hurricanes. Traditional analysis has not been concerned with the fender reaction on vessel hulls. However, newer classes of Naval ships, such as the Littoral Combat Ships (LCS), have designs that emphasize speed and agility, resulting in them having thinner hulls more susceptible to damage from fenders. In traditional analysis, fenders are modeled as idealized springs, with static- load derived spring constants from manufacturer charts. This ...


Review—Single Walled Carbon Nanotubes As Optical Sensors For Biological Applications, Eric M. Hofferber, Joseph A. Stapleton, Nicole M. Iverson 2020 University of Nebraska - Lincoln

Review—Single Walled Carbon Nanotubes As Optical Sensors For Biological Applications, Eric M. Hofferber, Joseph A. Stapleton, Nicole M. Iverson

Biological Systems Engineering: Papers and Publications

Since the discovery of the band gap fluorescence from single walled carbon nanotubes (SWNT) many advancements have been made towards the use of these unique fluorophores as optical biosensors in vitro, ex vivo in vivo. Attention has been given to these pure carbon structures due to their photostability, tunable properties, and bright near infrared emission that falls in the tissue transparency window. This review highlights some of the major advancements in the field of SWNT biosensors over the last two decades with a focus given to recent advances in biological applications.


Teacher Level Factors And Student Achievement In A Cyber-Enabled Engineering Education Professional Development Program, Wei Zakharov, Johannes Strobel, Heidi A. Diefes-Dux 2020 Purdue University

Teacher Level Factors And Student Achievement In A Cyber-Enabled Engineering Education Professional Development Program, Wei Zakharov, Johannes Strobel, Heidi A. Diefes-Dux

Biological Systems Engineering: Papers and Publications

This study investigates the impact of an elementary engineering education teacher professional development program on student learning. The results show a significant increase in students’ knowledge in science from pre- to post-test as well as in engineering design from grade two to grade four. Further, the study uses multilevel modeling to quantitatively analyze the impact of differences among teachers on the engineering design achievement of their students. Different predictive relationships between demographic and social capital factors at the teacher level and student achievement are identified and implications for educational policymaking and practices are discussed.


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 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

Biological Systems Engineering: Papers and 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 greater number ...


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 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

Biological Systems Engineering: Papers and 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 ...


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 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

Biological Systems Engineering: Papers and 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, Badrul Alam Bony, Hunter A. Miller, Aria W. Tarudji, Connor C. Gee, Anandakumar Sarella, Michael G. Nichols, Forrest Kievit 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

Biological Systems Engineering: Papers and 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 ...


Rapeseed Stand Count Estimation At Leaf Development Stages With Uav Imagery And Convolutional Neural Networks, Biquan Zhao, Chenghai Yang, Yeyin Shi, Qingxi Liao, Guangsheng Zhou, Chufeng Wang, Tianjin Xie, Zhao Jiang, Dongyan Zhang, Wanneng Yang, Chenglong Huang, Jing Xie, Jian Zhang 2020 Huazhong Agricultural University, Wuhan & Ministry of Agriculture, Wuhan

Rapeseed Stand Count Estimation At Leaf Development Stages With Uav Imagery And Convolutional Neural Networks, Biquan Zhao, Chenghai Yang, Yeyin Shi, Qingxi Liao, Guangsheng Zhou, Chufeng Wang, Tianjin Xie, Zhao Jiang, Dongyan Zhang, Wanneng Yang, Chenglong Huang, Jing Xie, Jian Zhang

Biological Systems Engineering: Papers and Publications

Rapeseed is an important oil crop in China. Timely estimation of rapeseed stand count at early growth stages provides useful information for precision fertilization, irrigation, and yield prediction. Based on the nature of rapeseed, the number of tillering leaves is strongly related to its growth stages. However, no field study has been reported on estimating rapeseed stand count by the number of leaves recognized with convolutional neural networks (CNNs) in unmanned aerial vehicle (UAV) imagery. The objectives of this study were to provide a case for rapeseed stand counting with reference to the existing knowledge of the number of leaves ...


Optimal Depth Jump Height Quantified As Percentage Of Athlete Stature, Curtis L. Tomasevicz, Ryan Hasenkamp, Jack W. Ransone, David Jones 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

Biological Systems Engineering: Papers and 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 ...


Classification Of Tactile And Motor Velocity-Evoked Hemodynamic Response In Primary Somatosensory And Motor Cortices As Measured By Functional Near-Infrared Spectroscopy, 2020 University of Nebraska - Lincoln

Classification Of Tactile And Motor Velocity-Evoked Hemodynamic Response In Primary Somatosensory And Motor Cortices As Measured By Functional Near-Infrared Spectroscopy

Biological Systems Engineering: Papers and Publications

Functional near-infrared spectroscopy (fNIRS) is an emerging technique in studying cerebral hemodynamics; however, consensus on the analysis methods and the clinical applications has yet to be established. In this study, we demonstrate the results of a pilot fNIRS study of cerebral hemodynamic response (HR) evoked by pneumotactile and sensorimotor stimuli on the dominant hand. Our goal is to find the optimal stimulus parameters to maximally evoke HR in the primary somatosensory and motor cortices. We use a pulsatile pneumatic array of 14 tactile cells that were attached to the glabrous surface of the dominant hand, with a patterned stimulus that ...


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 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

Biological Systems Engineering: Papers and 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 ...


Within-Field Variability In Granular Matrix Sensor Data And Its Implications For Irrigation Scheduling, T. Lo, H.C. Pringle III, Daran Rudnick, Geng Bai, L. Jason Krutz, D.M. Gholson, Xin Qiao 2020 University of Nebraska-Lincoln

Within-Field Variability In Granular Matrix Sensor Data And Its Implications For Irrigation Scheduling, T. Lo, H.C. Pringle Iii, Daran Rudnick, Geng Bai, L. Jason Krutz, D.M. Gholson, Xin Qiao

Biological Systems Engineering: Papers and Publications

Even when located within the same field, multiple units of the same soil moisture sensor rarely report identical values. Such within-field variability in soil moisture sensor data is caused by natural and manmade spatial heterogeneity and by inconsistencies in sensor construction and installation. To better describe this variability, daily soil water tension values from 14-23 sets of granular matrix sensors during the middle part of four soybean site-years in the Mississippi Delta were analyzed. The soil water tension data were found to follow approximately normal distributions, to exhibit moderately high temporal rank stability, and to show strong positive correlation between ...


An Automated Seepage Meter For Streams And Lakes, Douglas Kip Solomon, Eric Humphrey, Troy E. Gilmore, David P. Genereux, Vitaly A. Zlotnik 2020 University of Utah, Salt Lake City

An Automated Seepage Meter For Streams And Lakes, Douglas Kip Solomon, Eric Humphrey, Troy E. Gilmore, David P. Genereux, Vitaly A. Zlotnik

Biological Systems Engineering: Papers and 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 ...


An Automated Seepage Meter For Streams And Lakes, D. Kip Solomon, Eric Humphrey, Troy E. Gilmore, David P. Genereux, Vitaly Zlotnik 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

Biological Systems Engineering: Papers and 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 ...


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 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

Biological Systems Engineering: Papers and 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, Jon Duerschner, Shannon L. Bartelt-Hunt, Kent Eskridge, John E. Gilley, Xu Li, Amy M. Schmidt, Daniel D. Snow 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

Biological Systems Engineering: Papers and 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 ...


Influence Of Setback Distance On Antibiotics And Antibiotic Resistance Genes In Runoff And Soil Following The Land Application Of Swine Manure Slurry, Maria C. Hall, Noelle Mware, John E. Gilley, Shannon L. Bartelt-Hunt, Daniel D. Snow, Amy M. Schmidt Schmidt, Kent M. Eskridge, Xu Li 2020 University of Nebraska - Lincoln

Influence Of Setback Distance On Antibiotics And Antibiotic Resistance Genes In Runoff And Soil Following The Land Application Of Swine Manure Slurry, Maria C. Hall, Noelle Mware, John E. Gilley, Shannon L. Bartelt-Hunt, Daniel D. Snow, Amy M. Schmidt Schmidt, Kent M. Eskridge, Xu Li

Biological Systems Engineering: Papers and Publications

The environmental spread of antibiotics and antibiotic resistance genes (ARGs) from the land application of livestock wastes can be a potential public health threat. The objective of this study was to assess the effects of setback distance, which determines how close manure may be applied in relation to surface water, on the transport of antibiotics and ARGs in runoff and soil following land application of swine manure slurry. Rainfall simulation tests were conducted on field plots covered with wheat residues, each of which contained an upslope manure region where slurry was applied and an adjacent downslope setback region that did ...


Geostatistical Features Of Streambed Vertical Hydraulic Conductivities In Frenchman Creek Watershed In Western Nebraska, Olufemi P. Abimbola, Aaron R. Mittelstet, Troy E. Gilmore 2020 University of Nebraska - Lincoln

Geostatistical Features Of Streambed Vertical Hydraulic Conductivities In Frenchman Creek Watershed In Western Nebraska, Olufemi P. Abimbola, Aaron R. Mittelstet, Troy E. Gilmore

Biological Systems Engineering: Papers and Publications

This study evaluated the spatial variability of streambed vertical hydraulic conductivity (Kv) in different stream morphologies in the Frenchman Creek Watershed, Western Nebraska, using different variogram models. Streambed Kv values were determined in situ using permeameter tests at 10 sites in Frenchman, Stinking Water and Spring Creeks during the dry season at baseflow conditions. Measurements were taken both in straight and meandering stream channels during a 5 day period at similar flow conditions. Each test site comprised of at least three transects and each transect comprised of at least three Kv measurements. Linear, Gaussian, exponential and spherical ...


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