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Articles 1 - 18 of 18
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Leaf-Counting In Monocot Plants Using Deep Regression Models, Xinyan Xie, Yufeng Ge, Harkamal Walia, Jinliang Yang, Hongfeng Yu
Leaf-Counting In Monocot Plants Using Deep Regression Models, Xinyan Xie, Yufeng Ge, Harkamal Walia, Jinliang Yang, Hongfeng Yu
School of Computing: Faculty Publications
Leaf numbers are vital in estimating the yield of crops. Traditional manual leaf-counting is tedious, costly, and an enormous job. Recent convolutional neural network-based approaches achieve promising results for rosette plants. However, there is a lack of effective solutions to tackle leaf counting for monocot plants, such as sorghum and maize. The existing approaches often require substantial training datasets and annotations, thus incurring significant overheads for labeling. Moreover, these approaches can easily fail when leaf structures are occluded in images. To address these issues, we present a new deep neural network-based method that does not require any effort to label …
A Framework To Predict Variability Characteristics In Building Load Profiles, Sam Moayedi, Andrew Parker, Kevin James, Xiaoyue Cheng, Michael Hempel, Hamid Sharif, Mahmoud A. Alahmad
A Framework To Predict Variability Characteristics In Building Load Profiles, Sam Moayedi, Andrew Parker, Kevin James, Xiaoyue Cheng, Michael Hempel, Hamid Sharif, Mahmoud A. Alahmad
Durham School of Architectural Engineering and Construction: Faculty Publications
The expansion of Advanced Metering Infrastructure (AMI) has provided building operators and researchers detailed information on building energy consumption. The majority of AMI systems, however, record data at relatively low resolutions of 15, 30, or 60 minutes, due to cost, storage and bandwidth limitations. Emerging applications in power flow analysis, Quasi-Static Time-Series Simulation (QSTS), smart grid integration and load matching, however, require data at higher resolutions. Short-term energy demand can deviate significantly from long-term averages, with an unknown magnitude and frequency when only low-resolution load profile data is available. This paper presents a novel data-driven approach to predict characteristics of …
Bibliometric Review Of Monsoon Rainfall Prediction Models: With Special Reference To Use Of Artificial Intelligence In Rainfall Prediction, Shilpa Manoj Hudnurkar, Neela Rayavarapu Dr.
Bibliometric Review Of Monsoon Rainfall Prediction Models: With Special Reference To Use Of Artificial Intelligence In Rainfall Prediction, Shilpa Manoj Hudnurkar, Neela Rayavarapu Dr.
Library Philosophy and Practice (e-journal)
Rainfall is a result of several complex atmospheric processes making it challenging to predict. For countries whose economy is dominated by agricultural sector, accurate rainfall prediction is highly essential. A huge network of weather stations is spread across the globe for the observation of meteorological parameters. These generate vast amounts of data which can be used to accurately predict the weather. This necessitates the use better tools such as various artificially intelligent algorithms. This study aims to explore global research trends in monsoon rainfall prediction techniques using Artificial Intelligence (AI) and Artificial Neural Networks (ANN). Scopus database has been used …
Relationship Between Urinary Energy And Urinary Nitrogen Or Carbon Excretion In Lactating Jersey Cows, D. L. Morris, Jeffrey L. Firkins, C. Lee, W. P. Weiss, Paul J. Kononoff
Relationship Between Urinary Energy And Urinary Nitrogen Or Carbon Excretion In Lactating Jersey Cows, D. L. Morris, Jeffrey L. Firkins, C. Lee, W. P. Weiss, Paul J. Kononoff
Department of Animal Science: Faculty Publications
Measurement of urinary energy (UE) excretion is essential to determine metabolizable energy (ME) supply. Our objectives were to evaluate the accuracy of using urinary N (UN) or C (UC) to estimate UE and ultimately improve the accuracy of estimating ME. Individual animal data (n = 433) were used from 11 studies with Jersey cows at the University of Nebraska–Lincoln, where samples were analyzed after drying (n = 299) or on an as-is basis (n = 134). Dried samples resulted in greater estimated error variance compared with as-is samples, and thus only as-is samples were used for final models. The as-is …
Using Stability To Select A Shrinkage Method, Dean Dustin
Using Stability To Select A Shrinkage Method, Dean Dustin
Department of Statistics: Dissertations, Theses, and Student Work
Shrinkage methods are estimation techniques based on optimizing expressions to find which variables to include in an analysis, typically a linear regression. The general form of these expressions is the sum of an empirical risk plus a complexity penalty based on the number of parameters. Many shrinkage methods are known to satisfy an ‘oracle’ property meaning that asymptotically they select the correct variables and estimate their coefficients efficiently. In Section 1.2, we show oracle properties in two general settings. The first uses a log likelihood in place of the empirical risk and allows a general class of penalties. The second …
Electric Car: A Research Impact By Means Of Scientometric Analysis, Sivasekaran Kamatch Dr., Prabakar Stanleay Dr., Chithiraivel Subramanian Dr., Ashok Kumar P Dr., Thirumagal Arumugam Dr.
Electric Car: A Research Impact By Means Of Scientometric Analysis, Sivasekaran Kamatch Dr., Prabakar Stanleay Dr., Chithiraivel Subramanian Dr., Ashok Kumar P Dr., Thirumagal Arumugam Dr.
Library Philosophy and Practice (e-journal)
The day-to-day increasing costs of petrol and diesel and to control the air pollution makes an impact to do a scientometric analysis on the research ouput on “Electric Car”. Therefore, the research publications indexed in Web of Science for 28 years have been downloaded from 1991 to 2018 for the analysis. The research reveals that a total of 2424 publications is published during the above-mentioned year. The regression test proves that the deviation among the data is low and has possibility to calculate the doubling time on the basis the last 14 years. The doubling time proves that the growth …
Disease Management And Estimated Effects On Don (Deoxynivalenol) Contamination In Fusarium Infested Barley, Gregory Mckee, Christina Cowger, Ruth Dill-Macky, Andrew Friskop, Pravin Gautam, Joel Ransom, William Wilson
Disease Management And Estimated Effects On Don (Deoxynivalenol) Contamination In Fusarium Infested Barley, Gregory Mckee, Christina Cowger, Ruth Dill-Macky, Andrew Friskop, Pravin Gautam, Joel Ransom, William Wilson
Department of Agricultural Economics: Faculty Publications
Fusarium head blight (FHB or scab) economically devastates barley production. FHB is predominantly caused by Fusarium graminearum and has resulted in major reductions in the quality of barley in the United States. The most common source of economic loss is through development of potent mycotoxins in the grain, the most prominent of which, in the United States, is deoxynivalenol (DON). DON levels can be managed through a variety of techniques. This study presents the estimate of the statistical relationship among DON contamination in barley, FHB incidence and severity, and a variety of disease management techniques. Data from 22 field studies …
Splitting The Bill: Estimating Personal Consumption In Case Of Wrongful Death, Kathleen Ellis, David I. Rosenbaum
Splitting The Bill: Estimating Personal Consumption In Case Of Wrongful Death, Kathleen Ellis, David I. Rosenbaum
UCARE Research Products
In cases of wrongful death, the decedent’s survivors may sue alleged responsible parties for lost financial support. Forensic experts estimate a deceased individual’s personal consumption rate in order to separate the portion of the decedent’s income spent on him- or herself from the amount available as financial support for dependents. This paper enhances the prevailing estimation process by regressing consumption rates over individual households surveyed by the United States Bureau of Labor Statistics in its annual Consumer Expenditure Survey. We contend that this method improves the precision of estimates by accounting for the inherent heterogeneity in consumption among households with …
Early Transcriptome Responses Of The Bovine Midcycle Corpus Luteum To Prostaglandin F2Α Includes Cytokine Signaling, Heather Talbott, Xiaoying Artegoitia, Fang Qiu, Pan Zhang, Chittibabu Guda, Fang Yu, Robert A. Cushman, Jennifer R. Wood, Cheng Wang, Andrea S. Cupp, John S. Davis
Early Transcriptome Responses Of The Bovine Midcycle Corpus Luteum To Prostaglandin F2Α Includes Cytokine Signaling, Heather Talbott, Xiaoying Artegoitia, Fang Qiu, Pan Zhang, Chittibabu Guda, Fang Yu, Robert A. Cushman, Jennifer R. Wood, Cheng Wang, Andrea S. Cupp, John S. Davis
Department of Animal Science: Faculty Publications
In ruminants, prostaglandin F2alpha (PGF2α)-mediated luteolysis is essential prior to estrous cycle resumption, and is a target for improving fertility. To deduce early PGF2α-provoked changes in the corpus luteum a short time-course (0.5-4 h) was performed on cows at midcycle. A microarraydetermined transcriptome was established and examined by bioinformatic pathway analysis. Classic PGF2α effects were evident by changes in early response genes (FOS, JUN, ATF3) and prediction of active pathways (PKC, MAPK). Several cytokine transcripts were elevated and NF-kB and STAT activation were predicted by pathway analysis. Self-organizing map analysis grouped differentially expressed transcripts into ten mRNA expression patterns indicative …
Modeling The Cost Of Bird Strikes To Us Civil Aircraft, Aaron M. Anderson, David S. Carpenter, Michael J. Begier, Bradley F. Blackwell, Travis L. Devault, Stephanie A. Shwiff
Modeling The Cost Of Bird Strikes To Us Civil Aircraft, Aaron M. Anderson, David S. Carpenter, Michael J. Begier, Bradley F. Blackwell, Travis L. Devault, Stephanie A. Shwiff
USDA Wildlife Services: Staff Publications
The objective of our analysis is to develop a model of damage costs that arise from collisions between aircraft and birds, based on data drawn from the Federal Aviation Administration National Wildlife Strike Database (NWSD). We develop a two-part model, composed of two separate statistical models, that accounts for the effects of aircraft mass category, engine type, component of the aircraft struck, and the size and number of birds struck. Our results indicate the size of bird, number of birds, and engine ingestions are the largest determinants of strike-related costs. More generally, our result is a model that provides a …
The Evaluation Of Software Quality, Dhananjay Gade
The Evaluation Of Software Quality, Dhananjay Gade
Department of Industrial and Management Systems Engineering: Dissertations, Theses, and Student Research
Software Quality comprises all characteristics and significant features of a product or an activity which relate to the satisfaction of given requirements. The totality of characteristics of a software product depends upon its ability to satisfy given needs: for example (a) the degree to which software possesses a desired attribute or combination of attributes. (b) The degree to which a customer or user perceives that software meets their expectations, (c) the characteristics of software that determine the degree to which the software in use will meet the customer expectation. This study has three objectives. The first objective is to identify …
Support Vector Machine-Based Short-Term Wind Power Forecasting, Jianwu Zeng, Wei Qiao
Support Vector Machine-Based Short-Term Wind Power Forecasting, Jianwu Zeng, Wei Qiao
Department of Electrical and Computer Engineering: Faculty Publications
This paper proposes a support vector machine (SVM)-based statistical model for wind power forecasting (WPF). Instead of predicting wind power directly, the proposed model first predicts the wind speed, which is then used to predict the wind power by using the power-wind speed characteristics of the wind turbine generators. Simulation studies are carried out to validate the proposed model for very short-term and short-term WPF by using the data obtained from the National Renewable Energy Laboratory (NREL). Results show that the proposed model is accurate for very short-term and short-term WPF and outperforms the persistence model as well as the …
Support Vector Machine-Based Short-Term Wind Power Forecasting, Jianwu Zeng, Wei Qiao
Support Vector Machine-Based Short-Term Wind Power Forecasting, Jianwu Zeng, Wei Qiao
Department of Electrical and Computer Engineering: Faculty Publications
This paper proposes a support vector machine (SVM)-based statistical model for wind power forecasting (WPF). Instead of predicting wind power directly, the proposed model first predicts the wind speed, which is then used to predict the wind power by using the power-wind speed characteristics of the wind turbine generators. Simulation studies are carried out to validate the proposed model for very short-term and short term WPF by using the data obtained from the National Renewable Energy Laboratory (NREL). Results show that the proposed model is accurate for very short-term and short-term WPF and outperforms the persistence model as well as …
The Em Algorithm For Group Testing Regression Models Under Matrix Pooling, Christopher R. Bilder, Boan Zhang
The Em Algorithm For Group Testing Regression Models Under Matrix Pooling, Christopher R. Bilder, Boan Zhang
Department of Statistics: Faculty Publications
No abstract provided.
Invasive Species Management And Research Using Gis, Tracy Holcombe, Thomas J. Stohlgren, Catherine Jarnevich
Invasive Species Management And Research Using Gis, Tracy Holcombe, Thomas J. Stohlgren, Catherine Jarnevich
Managing Vertebrate Invasive Species
Geographical Information Systems (GIS) are powerful tools in the field of invasive species management. GIS can be used to create potential distribution maps for all manner of taxa, including plants, animals, and diseases. GIS also performs well in the early detection and rapid assessment of invasive species. Here, we used GIS applications to investigate species richness and invasion patterns in fish in the United States (US) at the 6-digit Hydrologic Unit Code (HUC) level. We also created maps of potential spread of the cane toad (Bufo marinus) in the southeastern US at the 8-digit HUC level using regression …
A Comparative Study Of The Performance Of Loss Reserving Methods Through Simulation, Prakash Narayan, Thomas Warthen
A Comparative Study Of The Performance Of Loss Reserving Methods Through Simulation, Prakash Narayan, Thomas Warthen
Journal of Actuarial Practice (1993-2006)
Actuaries are often asked to provide a range or confidence level for the loss reserve along with a point estimate. Traditional methods of loss reserving do not provide an estimate of the variance of the estimated reserve, and actuaries use various ad hoc methods to derive a range for the indicated reserve. We use a Monte Carlo simulation method to compare various loss reserve estimation methods, including traditional methods and regression-based methods of loss reserving.
Logistic Regression Models Of Habitat Use By Three Cyprinids In The Platte River, Nebraska, Shyi-Liang Yu
Logistic Regression Models Of Habitat Use By Three Cyprinids In The Platte River, Nebraska, Shyi-Liang Yu
School of Natural Resources: Dissertations, Theses, and Student Research
No abstract provided.
Growth In Weight Of Selected Organs, Tissues And Systems In The Pig, William J. Loeffel, Robert M. Koch
Growth In Weight Of Selected Organs, Tissues And Systems In The Pig, William J. Loeffel, Robert M. Koch
Historical Research Bulletins of the Nebraska Agricultural Experiment Station
As a result of investigations at the Nebraska Agricultural Experiment Station in 1929, 1930 and 1931 to determine the effect of weight and degree of fatness of the pork carcass upon the quality and palatability of the meat, 40 pigs were slaughtered, five each at the approximate live weights of 70, 80, 90, 100, 115, 135, 160, and 180 kg. This corresponds to carcass weights ranging from 50 to 150 kg. The results of the meat investigations and feedlot data were reported elsewhere (Loeffel et al.,1943). This study reports data relative to the weight of selected tissues and organs, as …