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Articles 1 - 9 of 9
Full-Text Articles in Physical Sciences and Mathematics
Statistical Precision Of A Replicated Farm Grazing Trial Versus Replicated Paddock Trials, K. P. Vogel, L. E. Moser, D. E. Bauer
Statistical Precision Of A Replicated Farm Grazing Trial Versus Replicated Paddock Trials, K. P. Vogel, L. E. Moser, D. E. Bauer
IGC Proceedings (1997-2023)
The experimental unit for animal average daily gain (ADG) and gain/ha in grazing trials is the paddock. Grazing trials on research stations often are conducted using small paddocks because animal and land costs restrict the number of treatments, replicates, and animals per paddock. Land and animal restrictions can be reduced by conducting trials on farms using animals provided by cooperating farmers. Farmers typically want only a single replicate on their farms and as result, virtually all on-farm trials in the USA and elsewhere have been un-replicated demonstration trials from which estimates of experimental error cannot be obtained. Farms can be …
A Quantitative Assessment Of The Diabetes Self-Management Education Program, Grace Mcfarlane
A Quantitative Assessment Of The Diabetes Self-Management Education Program, Grace Mcfarlane
Scholars Week
A Diabetes Self-Management Education (DSME) program offered in an inner-city health center run by the Cincinnati Health Department, which started in 2014, was created to help those in an underserved population learn how to manage their diabetes. Two key measurements, A1C (glycated hemoglobin) and BMI (body mass index), were taken over time to monitor their progress. In this study, we analyzed quantitatively whether or not there was a significant improvement in their BMI and A1C values over the course of two years since they joined DSME program as any improvement would imply a potentially healthier lifestyle in regards to their …
Deep Machine Learning For Mechanical Performance And Failure Prediction, Elijah Reber, Nickolas D. Winovich, Guang Lin
Deep Machine Learning For Mechanical Performance And Failure Prediction, Elijah Reber, Nickolas D. Winovich, Guang Lin
The Summer Undergraduate Research Fellowship (SURF) Symposium
Deep learning has provided opportunities for advancement in many fields. One such opportunity is being able to accurately predict real world events. Ensuring proper motor function and being able to predict energy output is a valuable asset for owners of wind turbines. In this paper, we look at how effective a deep neural network is at predicting the failure or energy output of a wind turbine. A data set was obtained that contained sensor data from 17 wind turbines over 13 months, measuring numerous variables, such as spindle speed and blade position and whether or not the wind turbine experienced …
Modeling Fantasy Football Quarterbacks, Kyle Zeberlein, Myles Wallin
Modeling Fantasy Football Quarterbacks, Kyle Zeberlein, Myles Wallin
Celebration of Learning
Fantasy football is a way to score NFL players based off of their statistics in particular categories. We have created formulas for modeling every quarterback’s fantasy football points per game in the 2015-2016 season. Our model is partitioned into four sub-models depending on the length of the quarterback’s career in the NFL. We have developed a weighted model based on previous years’ performance of the quarterback, of the defense, and of the quarterback against the defense using data from the NFL. We compare our projections for the season against Yahoo’s projections for the season.
Topological Methods For The Quantification And Analysis Of Complex Phenotypes, Patrick S. Medina, Rebecca W. Doerge
Topological Methods For The Quantification And Analysis Of Complex Phenotypes, Patrick S. Medina, Rebecca W. Doerge
Conference on Applied Statistics in Agriculture
Quantitative Trait Locus (QTL) mapping of complex traits, such as leaf venation or root structures, require the phenotyping and genotyping of large populations. Sufficient genotyping is accomplished with cost effective high-throughput assays, however labor costs often makes sufficient phenotyping prohibitively limited. In order to develop efficient high-throughput phenotyping platforms for complex traits algorithms and methods for quantifying these traits are needed. It is often desirable to study the spatial organization of these phenotypes from the images generated by high-throughput platforms. With the goal of quantifying the traits, many approaches try to identify several core traits useful in describing the phenotypic …
Statistical Methods In Topological Data Analysis For Complex, High-Dimensional Data, Patrick S. Medina, R W. Doerge
Statistical Methods In Topological Data Analysis For Complex, High-Dimensional Data, Patrick S. Medina, R W. Doerge
Conference on Applied Statistics in Agriculture
The utilization of statistical methods an their applications within the new field of study known as Topological Data Analysis has has tremendous potential for broadening our exploration and understanding of complex, high-dimensional data spaces. This paper provides an introductory overview of the mathematical underpinnings of Topological Data Analysis, the workflow to convert samples of data to topological summary statistics, and some of the statistical methods developed for performing inference on these topological summary statistics. The intention of this non-technical overview is to motivate statisticians who are interested in learning more about the subject.
An Investigation Into The Skills Gap In The Software Industry Of Pakistan, Zareen Sharf, Dr. Wasim A. Khan
An Investigation Into The Skills Gap In The Software Industry Of Pakistan, Zareen Sharf, Dr. Wasim A. Khan
International Conference on Information and Communication Technologies
Software Industry workers require an adequate skill set to gain maximum output from the effective use of technology. The purpose of this study is to explore the nature of actual and desired software developer, jobs skill set. Survey methodology will be used to obtain reports of actual skill level and those desired to define common dimensions of the software developer skill set. Anticipated results will add to the existing body of IT job skills knowledge and may provide practice with job development and career planning guidance. We also intend to propose a skill standard for the software industry of Pakistan …
A Survey On Intrusion Detection Approaches, A Murali M. Rao
A Survey On Intrusion Detection Approaches, A Murali M. Rao
International Conference on Information and Communication Technologies
Intrusion detection plays one of the key roles in computer security techniques and is one of the prime areas of research. Usages of computer network services are tremendously increasing day by day and at the same time intruders are also playing a major role to deny network services, compromising the crucial services for Email, FTP and Web. Realizing the importance of the problem due to intrusions, many researchers have taken up research in this area and have proposed several solutions. It has come to a stage to take a stock of the research results and project a comprehensive view so …
New Tools For New Times, Terry C. Nelsen, Debra E. Palmquist
New Tools For New Times, Terry C. Nelsen, Debra E. Palmquist
Conference on Applied Statistics in Agriculture
The purpose of this presentation is to challenge statisticians to develop new tools needed by modern scientists. We are in the midst of a Scientific Revolution being driven by computers and the internet. Scientists are gathering huge amounts of data on the usual measurements while continually developing new instruments for new measurements. Data sets full of measurements which may pertain to the scientist's research are easily available on the internet. Scientists are being overwhelmed with data. Agricultural producers and consumers are asking for more information. Scientists need new tools to evaluate variation. They need help with sampling - numbers of …