Engineering Commons^™

Nebraska Summary: 1241 John Deere 6r 250 Diesel Infinitely Variable Transmission, Nebraska Tractor Test Lab

Nebraska Tractor Tests

ABOUT THE TEST REPORT AND USE OF THE DATA The test data contained in this report are a tabulation of the results of a series of tests. Due to the restricted format of these pages, only a limited amount of data and not all of the tractor specifications are included. The full OECD report contains usually about 30 pages of data and specifications. The test data were obtained for each tractor under similar conditions and therefore, provide a means of comparison of performance based on a limited set of reported data. EXPLANATION OF THE TEST PROCEDURES Purpose The purpose of …

Nebraska Tractor Summary: 1238 John Deere 6r 195 Diesel Infinitely Variable Transmission, Nebraska Tractor Test Lab

Nebraska Tractor Tests

ABOUT THE TEST REPORT AND USE OF THE DATA The test data contained in this report are a tabulation of the results of a series of tests. Due to the restricted format of these pages, only a limited amount of data and not all of the tractor specifications are included. The full OECD report contains usually about 30 pages of data and specifications. The test data were obtained for each tractor under similar conditions and therefore, provide a means of comparison of performance based on a limited set of reported data. EXPLANATION OF THE TEST PROCEDURES Purpose The purpose of …

Nebraska Summary: 1237 John Deere 6r 175 Diesel Infinitely Variable Transmission, Nebraska Tractor Test Lab

Nebraska Tractor Tests

ABOUT THE TEST REPORT AND USE OF THE DATA The test data contained in this report are a tabulation of the results of a series of tests. Due to the restricted format of these pages, only a limited amount of data and not all of the tractor specifications are included. The full OECD report contains usually about 30 pages of data and specifications. The test data were obtained for each tractor under similar conditions and therefore, provide a means of comparison of performance based on a limited set of reported data. EXPLANATION OF THE TEST PROCEDURES Purpose The purpose of …

Nebraska Tractor Summary: 1236 John Deere 6r 165 Diesel Infinitely Variable Transmission, Nebraska Tractor Test Lab

Nebraska Tractor Tests

ABOUT THE TEST REPORT AND USE OF THE DATA The test data contained in this report are a tabulation of the results of a series of tests. Due to the restricted format of these pages, only a limited amount of data and not all of the tractor specifications are included. The full OECD report contains usually about 30 pages of data and specifications. The test data were obtained for each tractor under similar conditions and therefore, provide a means of comparison of performance based on a limited set of reported data. EXPLANATION OF THE TEST PROCEDURES Purpose The purpose of …

Nebraska Summary : 1235 John Deere 6r 155 Diesel Infinitely Variable Transmission, Nebraska Tractor Test Lab

Nebraska Tractor Tests

ABOUT THE TEST REPORT AND USE OF THE DATA The test data contained in this report are a tabulation of the results of a series of tests. Due to the restricted format of these pages, only a limited amount of data and not all of the tractor specifications are included. The full OECD report contains usually about 30 pages of data and specifications. The test data were obtained for each tractor under similar conditions and therefore, provide a means of comparison of performance based on a limited set of reported data. EXPLANATION OF THE TEST PROCEDURES Purpose The purpose of …

Nebraska Summary: 1233 John Deere 6r 140 Diesel Infinitely Variable Transmission, Nebraska Tractor Test Lab

Nebraska Tractor Tests

ABOUT THE TEST REPORT AND USE OF THE DATA The test data contained in this report are a tabulation of the results of a series of tests. Due to the restricted format of these pages, only a limited amount of data and not all of the tractor specifications are included. The full OECD report contains usually about 30 pages of data and specifications. The test data were obtained for each tractor under similar conditions and therefore, provide a means of comparison of performance based on a limited set of reported data. EXPLANATION OF THE TEST PROCEDURES Purpose The purpose of …

Nebraska Tractor Summary: 1232 John Deere 6r 130 Diesel Infinitely Variable Transmission, Nebraska Tractor Test Lab

Nebraska Tractor Tests

ABOUT THE TEST REPORT AND USE OF THE DATA The test data contained in this report are a tabulation of the results of a series of tests. Due to the restricted format of these pages, only a limited amount of data and not all of the tractor specifications are included. The full OECD report contains usually about 30 pages of data and specifications. The test data were obtained for each tractor under similar conditions and therefore, provide a means of comparison of performance based on a limited set of reported data. EXPLANATION OF THE TEST PROCEDURES Purpose The purpose of …

Nebraska Tractor Summary: 1230 John Deere 6r 110 Infinitely Variable Transmission, Nebraska Tractor Test Lab

Nebraska Tractor Tests

ABOUT THE TEST REPORT AND USE OF THE DATA The test data contained in this report are a tabulation of the results of a series of tests. Due to the restricted format of these pages, only a limited amount of data and not all of the tractor specifications are included. The full OECD report contains usually about 30 pages of data and specifications. The test data were obtained for each tractor under similar conditions and therefore, provide a means of comparison of performance based on a limited set of reported data. EXPLANATION OF THE TEST PROCEDURES Purpose The purpose of …

Reverse Engineering And Enhancement Of Automobile Infotainment System, Cole Brinsfield

Electrical Engineering

In 2011, luxury cars were released with displays built into the center. With modern computing power and technology such as Android Auto or Apple CarPlay, these older infotainment systems degrade the value of cars that are otherwise comparable to 2021 models. This project upgrades the infotainment system of one such car, a 2011 Infiniti G37. Through use of an additional microcomputer in the car, an infotainment upgrade can be achieved. This upgraded infotainment adds navigation, wireless audio, and data display capabilities to the car, while maintaining the functionality of the stock infotainment. While customized for the 2011 Infiniti G37, the …

Moisture Content Prediction In Polymer Composites Using Machine Learning Techniques, Partha Pratim Das, Monjur Morshed Rabby, Vamsee Vadlamudi, Rassel Raihan

Institute of Predictive Performance Methodologies (IPPM-UTARI)-Archive

The principal objective of this study is to employ non-destructive broadband dielectric spectroscopy/impedance spectroscopy and machine learning techniques to estimate the moisture content in FRP composites under hygrothermal aging. Here, classification and regression machine learning models that can accurately predict the current moisture saturation state are developed using the frequency domain dielectric response of the composite, in conjunction with the time domain hygrothermal aging effect. First, to categorize the composites based on the present state of the absorbed moisture supervised classification learning models (i.e., quadratic discriminant analysis (QDA), support vector machine (SVM), and artificial neural network-based multilayer perceptron (MLP) classifier) …

Influencing Iot Device User Privacy Behaviors: An Empirical Study, Maria Chaparro Osman, Tricia Prior, Summer Rebensky, Andrew Nakushian, Meredith Carroll

Aeronautics Faculty Publications

The prevalence of Internet of Things (IoT) devices is increasing in both volume and variety (Fagan, Megas, Scarfone, & Smith, 2019). Therefore, ensuring users take appropriate measures to protect their privacy is important to guarantee their safety expectations are met. Unfortunately, device users are generally unaware of how devices work and therefore how to properly set up their device’s privacy features (Olmstead & Smith, 2017). The present study evaluated two interventions designed to address these needs. First, in an attempt to increase access and understanding of the terms and conditions by users, a Terms and Conditions Guru was designed that …

Cfis’ Safety Behaviors At Flight Training Schools: Understanding The Effects Of Personality Traits, Self-Efficacy, Risk Perception, And Safety Climate, Vivek Sharma, Meredith Carroll

Aeronautics Faculty Publications

According to Aircraft Owners Pilot Association [2], approximately 63% of the accidents involving certified flight instructors (CFIs) occurred during advanced training, which involves low altitude operations, critical decision-making skills, and accurate judgement. Research in the past has demonstrated that pilots’ safety behaviors also predict their involvement in an accident or incident [6]. Many studies across various work domains have examined how factors such as personality traits, perceived risk, safety climate, and self-efficacy influence safety behaviors [1][3][4][5][6][7][8]. Studies have found that personality traits such as Conscientiousness, Extraversion, Openness, and Agreeableness were positively related to safety behaviors [3][7][11], whereas Neuroticism was negatively …

Me And My Ve 2022: Human Factors Applications Using Virtual Reality, Mixed Reality, And Virtual Environments, Randall Spain, Shannon K. T. Bailey, Benjamin Goldberg, Robert Sall, Kendall Carmody, Cherrise Ficke, Allison Bayro, Heejin Jeong, Jihoon Kim, W. Hong Yeo, Rosemarie Figueroa-Jacinto, Zachary Pugh, Chris Mayhorn, Aaron Gluck, Sarah Beadle, Amanda Bond

Aeronautics Student Publications

This abstract is a companion piece to the ninth iteration of the “Me and My VE'' interactive session. The purpose of this alternative format session is to allow human factors researchers to demonstrate how they use virtual reality, mixed reality, and virtual environments to support end-user research. The session begins with each presenter providing a brief introduction of their virtual reality, mixed reality, or virtual environment application. After this introduction, attendees engage with the presenters and their virtual environments in an interactive demonstration period. This year’s demonstrations include applications ranging from designing virtual environments for accessibility to using virtual and …

Editorial: Assuring Trustworthiness Of Autonomous Systems As Intelligent And Ethical Teammates, Siddhartha Bhattacharyya, Meredith Carroll

Aeronautics Faculty Publications

Editorial on the Research Topic Assuring trustworthiness of autonomous systems as intelligent and ethical teammates

Enhancing Engagement And Qualitative Output Of Technical Projects Through Competing Team Assignments, Immanuel Edinbarough, Jaime Taha-Tijerina, Aditya Akundi

Informatics and Engineering Systems Faculty Publications

This paper discusses the benefits of engaging engineering student teams through competition in technical development projects. The University of XXX is a minority serving institution situated in the developing region of the XXX state, where recently, there has been a great expansion of advanced manufacturing industries, including innovative aerospace companies. These industries look for engineering and technology students who are creative thinkers and capable of addressing complex engineering problems. The best of student output often comes out with a friendly competition. Hence, two student teams were assigned with the same sponsored project to come out with innovative solutions. The project …

Detecting The Presence Of Electronic Devices In Smart Homes Using Harmonic Radar, Beatrice Perez, Gregory Mazzaro, Timothy J. Pierson, David Kotz

Dartmouth Scholarship

Data about users is collected constantly by phones, cameras, Internet websites, and others. The advent of so-called ‘Smart Things' now enable ever-more sensitive data to be collected inside that most private of spaces: the home. The first step in helping users regain control of their information (inside their home) is to alert them to the presence of potentially unwanted electronics. In this paper, we present a system that could help homeowners (or home dwellers) find electronic devices in their living space. Specifically, we demonstrate the use of harmonic radars (sometimes called nonlinear junction detectors), which have also been used in …

Unsupervised Multiview Embedding Of Node Embeddings, Jia Chen, Lizeth Figueroa, Dalia Orozco, Evangelos E. Papalexakis

Electrical and Computer Engineering Faculty Publications

—In this paper, we propose a comprehensive unsupervised framework that leverages existing and novel multiview learning models, towards obtaining a single node embedding from a collection of node embeddings, combining the best of all worlds. Through extensive experiments, we demonstrate that the proposed multiview node embedding is able to perform on par or better than the best of its constituents and provide reliable performance across downstream tasks including node classification and graph reconstruction

A Soft-Switched Three-Port Dc-Dc Converter For A Pv/ Battery System, Mohamedelfatih Dosa

All Graduate Theses, Dissertations, and Other Capstone Projects

This thesis proposed a soft-switched three-port bidirectional DC-DC converter for managing the power flow of a photovoltaic (PV) and battery system. The proposed converter consists of three ports connected to a PV panel, battery, and load. These three ports are interfaced through the high-frequency transformer and use phase-shift control to achieve soft-switching for all converter switches. Compared with the traditional multiport converters, the proposed three-port converter uses the least number of power switches, and zero-voltage switching (ZVS). Simulation and experimental results validate the design and effectiveness of soft switching and power flow control. The converter can work in different scenarios …

Temporal Bagging: A New Method For Time-Based Ensemble Learning, Göksu Tüysüzoğlu, Derya Bi̇rant, Volkan Kiranoğlu

Turkish Journal of Electrical Engineering and Computer Sciences

One of the main problems associated with the bagging technique in ensemble learning is its random sample selection in which all samples are treated with the same chance of being selected. However, in time-varying dynamic systems, the samples in the training set have not equal importance, where the recent samples contain more useful and accurate information than the former ones. To overcome this problem, this paper proposes a new time-based ensemble learning method, called temporal bagging (T-Bagging). The significant advantage of our method is that it assigns larger weights to more recent samples with respect to older ones, so it …

Efficient Flatness Based Energy Management Strategy For Hybrid Supercapacitor/Lithium-Ion Battery Power System, Salam J. Yaqoob, Seydali Ferahtia, Adel Obed, Hegazy Rezk, Naseer Tawfeeq Alwan, Hossam Zawbaa, Salah Kamel

Articles

This article offers a flatness theory-based energy management strategy (FEMS) for a hybrid power system consisting of a supercapacitor (SC) and lithium-ion battery. The proposed FEMS intends to allocate the power reference for the DC/DC converters of both the battery and SC while attaining higher effciency and stable DC bus voltage. First, the entire system model is analyzed theoretically under the differential flatness approach to reduce the model order as a at system. Second, the proposed FEMS is validated under different load conditions using MATLAB/Simulink. Thus, this FEMS provides high-quality energy to the load and reduces the fluctuations in the …

Poster: Acoustic Source Localization Using Straight Line Approximations, Swarnadeep Bagchi, Ruairí De Fréin

Conference papers

The short paper extends an acoustic signal delay estimation method to general anechoic scenario using image processing techniques. The technique proposed in this paper localizes acoustic speech sources by creating a matrix of phase versus frequency histograms, where the same phases are stacked in appropriate bins. With larger delays and multiple sources coexisting in the same matrix, it becomes cluttered with activated bins. This results in high intensity spots on the spectrogram, making source discrimination difficult. In this paper, we have employed morphological filtering, chain-coding and straight line approximations to ignore noise and enhance the target signal features. Lastly, Hough …

Dual-Band Dual-Polarized Microstrip Array For Mm-Wave And Sub-6 Ghz Applications, Neeraj Kumar Maurya, Max Ammann, Patrick Mcevoy

Conference papers

In this paper, a compact dual-band and dual-polarized antenna array with integrated crossover for mm-Wave and sub-6 GHz band Wi-Fi applications is proposed. The proposed dual-band antenna is comprised of a 2x2 array operating at 26 GHz and 5.48 GHz (channel 96). The dual-band crossover consists of a microstrip-grounded CPW-microstrip interface transition. The measured design shows inter and intraband isolation better than 25dB with the crossover on the same plane with a maximum gain of 9.2dBi and 11.83 dBi for 26.25 GHz and 5.48 GHz respectively.

Sizing Considerations For Ev Dynamic Wireless Charging Systems With Integrated Energy Storage, Donovin Lewis, Huangjie Gong, Gregory D. Erhardt, Rong Zeng, Omer Onar, Veda Prakash Galigekere, Burak Ozpineci, Dan Ionel

Power and Energy Institute of Kentucky Faculty Publications

Roadways with dynamic wireless charging systems (DWCS) enable charge-sustaining in-motion EV charging, which can reduce charging idle time while increasing range capabilities. Spatially distributed transmitter coils are controlled in response to traffic load that varies significantly minute to minute with high power levels, very short charging time, and low system utilization like wind turbine power. Traffic load estimation and localized analysis may guide effective sizing and topology adoption for feasible and scalable DWCS deployment. DWCS traffic load approximation is reviewed with measured Automated Traffic Recorder (ATR) data and statistical distributions being used to create a synthetic load analyzed using proposed …

Define “Learning Engineering” With The Trap Framework, Ke Zhang, Meina Zhu

Administrative and Organizational Studies

While the term “learning engineering” was first coined by Herbert [1]; it is becoming more salient recently. But there is not a commonly shared understanding of learning engineering as a professional or an academic field. Thus, we explored a range of resources, including scholarly publications and discussions, websites and initiatives of selected professional organizations, resources from related USA government and agencies, recent job posts and learning engineering degree programs to find relevant rhetoric, descriptions, curricula, task forces and other resources on learning engineering. Based on a critical synthesis of the above-mentioned materials, we argue that learning engineering is an emerging …

Uio-Type Metal-Organic Framework Derivatives As Sorbents For The Detection Of Gas-Phase Explosives, Matthew Ryan Sherrill

Legacy Theses & Dissertations (2009 - 2024)

The detection of energetic compounds – better known to the public as explosives – has is an important cornerstone of counterterrorism and homeland security . While significant advances have been achieved for the detection of trace explosives in various matrices such as soil, wastewater, and clothing, the detection of explosives in the gas phase remains challenging due to their infamously low vapor pressures. In this thesis, we leverage the high sensitivity of direct analysis in real-time mass spectrometry (DART-MS) and the microporosity of metal-organic frameworks (MOFs) to adsorb and therefore concentrate explosives from the vapor phase and subsequently detect them …

Dynamic Instance-Wise Decision-Making For Machine Learning, Yasitha Warahena Liyanage

Legacy Theses & Dissertations (2009 - 2024)

In a typical supervised machine learning setting, the predictions on all test instances are based on a common subset of features discovered during model training. However, using a different subset of features that are most informative for each test instance individually may improve not only the quality of prediction but also the overall interpretability of the model. To this end, in this dissertation, we study the problem of optimizing the trade-off between instance-level sparsity and the quality of prediction using a dynamic instance-wise decision-making approach. Specifically, this approach sequentially reviews features one at a time for each data instance given …

Microscale Transverse Compression Modeling: A Comparative Study Of The Analytical Mac/Gmc Methods To Experimental Results, Emily Zeitunian

Dissertations, Master's Theses and Master's Reports

Composite materials require a multi-scale approach to fully understand its behavior. At the micro level, material behavior analysis is conducted most often using numerical or analytical approaches. These models, however, require validation from experimental data to ensure material predictions are accurate. This study compares a semi-analytical micromechanical analysis tool, MAC/GMC, to experimental results of in-situ microscale transverse compression testing conducted at AFRL facilities. Effective properties, stress-strain curves, stress and strain fields, and damage predictions are compared with experimental outputs. Both generalized method of cells (GMC) and high-fidelity generalized method of cells (HFGMC) theories implemented within MAC/GMC show results that agree …

Image-Data-Driven Deep Learning For Slope Stability Analysis, Behnam Azmoon

Dissertations, Master's Theses and Master's Reports

Landslides cause major infrastructural issues, damage the environment, and cause socio-economic disruptions. Therefore, various slope stability analysis methods have been developed to evaluate the stability of slopes and the probability of their failure. This dissertation attempts to take advantage of the recent advancements in remote sensing and computer technology to implement a deep-learning-based landslide prediction method.

Considering the novelty of this approach, this dissertation leads with proof-of-concept studies to evaluate and establish the suitability of deep learning models for slope stability analysis. To achieve this, a simulated 2D dataset of slope images was created with different geometries and soil properties. …

Maximum Likelihood Estimator Method To Estimate Flaw Parameters For Different Glass Types, Nabhajit Goswami

Dissertations, Master's Theses and Master's Reports

Glass is commonly used in architectural applications, such as windows and in-fill panels and structural applications, such as beams and staircases. Despite the popularity of structural glass use in buildings, an engineering design standard to determine the required component or member strength for design loads does not exist. Glass is a brittle material that lacks a well-defined yield or ultimate stress, unlike ductile materials. The traditional engineering methods used to design a ductile material cannot be used to design a glass component. Glass fails in tension primarily due to the presence of microscopic flaws present on the surface that acts …

Design And Analysis Of Marangoni-Driven Robotic Surfers, Mitchel L. Timm

Dissertations, Master's Theses and Master's Reports

We designed and experimentally studied the dynamics of two robotic systems that surf along the water-air interface. The robots were self-propelled by means of creating and maintaining a surface tension gradient resulting from an asymmetric release of isopropyl alcohol (IPA). The imbalance in the distribution of surface tension surrounding the robots generates a propulsive force commonly referred to as Marangoni propulsion. First, we considered a single surfer, which was custom-made with novel control mechanisms that allow for both forward motion and steering to be remotely adjusted solely through the manipulation of local surface stresses. We analyzed the performance of this …