Engineering Commons^™

Introduction To Remote Sensing: Americaview Consortium, Hugh Bloemer, Dale Quattrochi

Online Journal of Space Communication

The AmericaView Consortium is a network of several state consortia whose goal is to expand remote sensing education, research and innovation.

A Remote Sensing Tutorial, Nicholas M. Short

Online Journal of Space Communication

A Remote Sensing Tutorial

Issue 3: From The Guest Editors, Hugh Bloemer, Dale Quattrochi

Online Journal of Space Communication

What is Remote Sensing?

Equitizing Engineering Education By Valuing Children’S Assets: Including Empathy And An Ethic Of Care When Considering Trade-Offs After Design Failures, Pamela S. Lottero-Perdue, John Settlage

Journal of Pre-College Engineering Education Research (J-PEER)

The broad case being made in this paper is that recognizing student assets—rather than focusing on deficits—is essential for making engineering education more equitable. The paper begins with our exploration of an epistemic practice of engineering, ‘‘making trade-offs,’’ as enacted by kindergartners after experiencing design failure and during redesign. We then acknowledge through a reexamination of data that our understanding of children’s grappling about a trade-off was incomplete without considering another asset that children brought to the design experience: ‘‘enacting empathy and an ethic of care.’’ We argue for the inclusion of this asset as an epistemic practice of engineering. …

Reflections On Asset-Based Pre-College Engineering Education To Promote Equity: An Introduction To The Special Issue, Lee Martin, Kristen B. Wendell

Journal of Pre-College Engineering Education Research (J-PEER)

In our call for proposals, we argued that engineering education is in need of a paradigm shift that takes students’ assets as epistemologically primary to our conception of what engineering, and engineering education, can and should be. The 12 papers collected in this special issue show how a focus on youth assets can realign engineering education to be more humane, more inclusive, and just as meaningful as that of a traditional model. The papers offer both theoretical argumentation and empirical evidence to support their answers to the question of how asset-based approaches can improve engineering education. An emergent theme in …

Western Fires Are Burning Higher In The Mountains At Unprecedented Rates: It’S A Clear Sign Of Climate Change, Mojtaba Sadegh, John Abatzoglou, Mohammad Reza Alizadeh

Civil Engineering Faculty Publications and Presentations

The Western U.S. appears headed for another dangerous fire season, and a new study shows that even high mountain areas once considered too wet to burn are at increasing risk as the climate warms.

Nearly two-thirds of the U.S. West is in severe to exceptional drought right now, including large parts of the Rocky Mountains, Cascades and Sierra Nevada. The situation is so severe that the Colorado River basin is on the verge of its first official water shortage declaration, and forecasts suggest another hot, dry summer is on the way.

Warm and dry conditions like these are a recipe …

Increasing Boarding Lost Time At Regular Bus Stops During Rainy Conditions: A Case Study, Margarita Novales, Alfonso Orro, José-Benito Pérez-López, Jorge Feal, Miguel R. Bugarín

Journal of Public Transportation

Inclement weather conditions affect the behavior of travelers and transportation system operations. Understanding this influence can help improve operational planning schemes for any mode of transport, especially for buses. One of the factors that can be affected by rainfall is the time expended by a passenger from the moment a bus opens its doors until he/she boards the bus. This time is known as the boarding lost time (BLT); it was first introduced in the last edition of the Transit Capacity and Quality of Service Manual (TCQSM). TCQSM only considers the BLT for bus rapid transit (BRT) stations with more …

Replication Data For: Study Of Methane Migration In The Shallow Subsurface From A Gas Pipe Leak, Kathleen Smits

Earth & Environmental Sciences Datasets - Archive

With the increased use of natural gas, safety and environmental concerns from underground leaking natural gas pipelines are becoming more widespread. What is not well understood in leakage incidents is how the soil conditions affect gas migration behavior, making it difficult to estimate the gas distribution. To shed light on these concerns, an increased understanding of subsurface methane migration after gas release is required to support efficient leak response and effective use of available technologies. In this study, three field-scale experiments were performed at the Methane Emission Technology Evaluation Center in Colorado State University to investigate the effect of soil …

Sensitivity-Enhanced Microwave-Photonic Optical Fiber Interferometry Based On The Vernier Effect, Chen Zhu, Jie Huang

Electrical and Computer Engineering Faculty Research & Creative Works

This paper proposes optical carrier microwave interferometry (OCMI)-based optical fiber interferometers for sensing applications with improved measurement sensitivity with the assistance of the Vernier effect. Fabry-Perot interferometers (FPIs) are employed in the proof of concept. A single-FPI-OCMI system is first demonstrated for measurements of variations of temperatures by tracking the spectral shift of the interferogram in microwave domain. By cascading two FPIs with slightly different optical lengths, the Vernier effect is generated in the magnitude spectrum of the system with a typical amplitude-modulated signal. By tracking the shift of the envelope signal, temperature measurements are experimentally demonstrated with greatly enhanced …

Method Of Modeling The Swing Equation Using Time Synchronized Measurements, Robert Matthew Ferraro

Dissertations and Theses

In three phase, high-voltage transmission systems, synchronous generators accelerate or decelerate to adapt to changing power transfer requirements that occur during system disturbances. In network electrical power systems, frequency changes constantly based on system dynamics. Modeling network dynamics from oscillations and transients using time-synchronized measurements can provide real-time information, including angular displacements, voltage and current phasors, frequency changes, and rate of signal system decay from positive-sequence components.

Power system voltage and current waveforms are not steady-state sinusoids, especially during system disturbances. These waveforms contain sustained harmonic and non-harmonic components. Additionally, because of faults and other switching electromagnetic transients, there may …

A Bibliometric Review Of Characterization Of Outdoor Solar Pv Panel For Shading And Validation By Pv Emulator, Viplove Malik, Poojan Pavagadhi, Aman Kumar Pandey, Saharsh Vyas, Javed Sayyad, Paresh Nasikkar

Library Philosophy and Practice (e-journal)

Many researchers and experts have begun to work in Renewable Energy (RE) Research and Development (R&D) as an interdisciplinary area ineluctable solution to lower the use of conventional power generation or non-renewable resources. Solar photovoltaic energy has gained a lot of recognition as one of the best green alternatives. However, its firm reliance on environmental and climatic conditions makes it difficult for researchers to conduct experiments at the operational temperature (T) and Solar insolation level (G). These solar PV panels with a controllable light source are inefficient, unreliable, and unsuitable for testing PV algorithms such as Maximum Power Point Tracking …

Global Health Effects Of Future Atmospheric Mercury Emissions, Yanxu Zhang, Zhengcheng Song, Shaojian Huang, Peng Zhang, Yiming Peng, Peipei Wu, Jing Gu, Stephanie Dutkiewicz, Huanxin Zhang, Shiliang Wu, Feiyue Wang, Long Chen, Shuxiao Wang, Ping Li

Michigan Tech Publications, Part 1

Mercury is a potent neurotoxin that poses health risks to the global population. Anthropogenic mercury emissions to the atmosphere are projected to decrease in the future due to enhanced policy efforts such as the Minamata Convention, a legally-binding international treaty entered into force in 2017. Here, we report the development of a comprehensive climate-atmosphere-land-ocean-ecosystem and exposure-risk model framework for mercury and its application to project the health effects of future atmospheric emissions. Our results show that the accumulated health effects associated with mercury exposure during 2010–2050 are $19 (95% confidence interval: 4.7–54) trillion (2020 USD) realized to 2050 (3% discount …

A Bibliometric Analysis Of Face Presentation Attacks Based On Domain Adaptation, Smita C. Khairnar, Shilpa Shailesh Gite Dr., Sudeep D. Thepade Dr.

Library Philosophy and Practice (e-journal)

Background: This research aims to look into the work that has been done on Face Presentation attacks and detection with domain adaptation techniques from 2011 to 2021 utilizing bibliography methods.

Approaches: Diverse research articles on Face Presentation Attacks were retrieved using the two most popular databases Web of Science & Scopus. Research articles consider between 2011-2021. Some research results, such as documents by year, documents by source, documents by funding agencies, countries, etc are obtained using Web of Science and Scopus Analyzers. The analysis is performed using Vos Viewer version 1.6.16 and various parameters such as keywords, co-authorship, co-occurrences, citation …

Improving The 2d Numerical Simulations On Local Scour Hole Around Spur Dikes, Chung Ta Liao, Keh Chia Yeh, Yin Chi Lan, Ren Kai Jhong, Yafei Jia

Faculty and Student Publications

Local scour is a common threat to structures such as bridge piers, abutments, and dikes that are constructed on natural rivers. To reduce the risk of foundation failure, the understanding of local scour phenomenon around hydraulic structures is important. The well-predicted scour depth can be used as a reference for structural foundation design and river management. Numerical simulation is relatively efficient at studying these issues. Currently, two-dimensional (2D) mobile-bed models are widely used for river engineering. However, a common 2D model is inadequate for solving the three-dimensional (3D) flow field and local scour phenomenon because of the depth-averaged hypothesis. This …

Internet Of Medical Things (Iomt): Overview, Emerging Technologies, And Case Studies, Sahshanu Razdan, Sachin Sharma

Articles

No abstract provided.

Mash 2016 Test Level 3 And Test Level 4 Evaluation Of Roadside Safety Barrier With Pedestrian Features, Miguel Angel Hinojosa Palacios

Department of Mechanical and Materials Engineering: Dissertations, Theses, and Student Research

The Minnesota Department of Transportation (MnDOT) desires to use a vehicle, bicycle, and pedestrian combination bridge railing system along pedestrian and bicycle bridge paths. The system was evaluated per MASH 2016.

In full-scale crash test no. MNPD-3, the system was evaluated according to MASH test designation no. 3-11. The 2014 Dodge Ram 1500 crew cab pickup truck impacted the system 71¼ in. upstream from the centerline of post no. 4 with a speed of 63.4 mph at an angle of 25.3 degrees. The combination railing system was found to meet the AASHTO MASH 2016 TL-3 impact safety criteria.

MnDOT uses …

Person Re-Identification And An Adversarial Attack And Defense For Person Re-Identification Networks, Yu Zheng

Dissertations - ALL

Person re-identification (ReID) is the task of retrieving the same person, across different camera views or on the same camera view captured at a different time, given a query person of interest. There has been great interest and significant progress in person ReID, which is important for security and wide-area surveillance applications as well as human computer interaction systems. In order to continuously track targets across multiple cameras with disjoint views, it is essential to re-identify the same target across different cameras. This is a challenging task due to several reasons including changes in illumination and target appearance, and variations …

Effects Of Air Pollution, Temperature And Moisture Content On Copper And Silver Corrosions And The Reliability Of Data Center Equipment, Rui Zhang

Dissertations - ALL

The effects of moisture content, temperature, and pollutant mixture on atmospheric corrosion of copper and silver were investigated by exposing test specimens to different environmental conditions, followed by surface characterization using the coulometric reduction, Scanning Electron Microscopy, and Energy Dispersive Spectrometry (SEM/EDS). Printed circuit board test cards (PCBs) with bare copper were also used to investigate the effects of voltage bias on the PCBs on the corrosion rate. The test specimens were exposed to mixed flowing gases (MFG) environment with eight different combinations of the following five pollutants at the fixed concentration levels: 60 ppb O3, 80 ppb NO2, 40 …

Impact Assessment, Detection, And Mitigation Of False Data Attacks In Electrical Power Systems, Sagnik Basumallik

Dissertations - ALL

The global energy market has seen a massive increase in investment and capital flow in the last few decades. This has completely transformed the way power grids operate - legacy systems are now being replaced by advanced smart grid infrastructures that attest to better connectivity and increased reliability. One popular example is the extensive deployment of phasor measurement units, which is referred to PMUs, that constantly provide time-synchronized phasor measurements at a high resolution compared to conventional meters. This enables system operators to monitor in real-time the vast electrical network spanning thousands of miles. However, a targeted cyber attack on …

An Examination Of Γ-Valerolactone Ring Opening And Decarboxylation In Multiphase System And Over Various Solid Acid Catalysts, Xinlei Huang

Dissertations - ALL

Lignocellulosic biomass is an alternative carbon source for industrial applications. γ-valerolactone (GVL) is an example of biomass-derived platform chemicals that provides multiple commercial potentials. Of interest here is the acid-catalyzed ring opening of GVL to form pentenoic acid (PEA) isomers and following decarboxylation to produce butenes. In this study, GVL ring opening, and decarboxylation are examined in both liquid and gas phases over various catalytic systems aiming at improving the efficiency in selective preparation of target product. An initial attempt was made in a biphasic reactor to improve the yield to PEA catalyzed by mineral acids (H2SO4). A wide range …

Computational Algorithms For Predicting Membrane Protein Assembly From Angstrom To Micron Scale, Nandhini Rajagopal

Dissertations - ALL

Biological barriers in the human body are one of the most crucial interfaces perfected through evolution for diverse and unique functions. Of the wide range of barriers, the paracellular protein interfaces of epithelial and endothelial cells called tight junctions with high molecular specificities are vital for homeostasis and to maintain proper health. While the breakdown of these barriers is associated with serious pathological consequences, their intact presence also poses a challenge to effective delivery of therapeutic drugs. Complimenting a rigorous combination of in vitro and in vivo approaches to establishing the fundamental biological construct, in addition to elucidating pathological implications …

Multi-Label/Multi-Class Deep Learning Classification Of Spatiotemporal Data, Natalie Sommer

Dissertations - ALL

Human senses allow for the detection of simultaneous changes in our environments. An unobstructed field of view allows us to notice concurrent variations in different parts of what we are looking at. For example, when playing a video game, a player, oftentimes, needs to be aware of what is happening in the entire scene. Likewise, our hearing makes us aware of various simultaneous sounds occurring around us. Human perception can be affected by the cognitive ability of the brain and acuity of the senses. This is not a factor with machines. As long as a system is given a signal …

A Building Information Modeling (Bim)-Centric Digital Ecosystem For Smart Airport Life Cycle Management, Basak Keskin

Dissertations - ALL

An increasing number of new airport infrastructure construction and improvement projects are being delivered in today's modern world. However, value creation is a recurring issue due to inefficiencies in managing capital expenditures (CapEx) and operating expenses (OpEx), while trying to optimize project constraints of scope, time, cost, quality, and resources. In this new era of smart infrastructure, digitalization transforms the way projects are planned and delivered. Building Information Modeling (BIM) is a key digital process technique that has become an imperative for today's Architecture, Engineering, Construction and Operations (AECO) sector. This research suggests a BIM-centric digital ecosystem by detailing technical …

On Stability And Similarity Of Network Embeddings, Apurva Shriniwas Mulay

Theses - ALL

Machine Learning on graphs has become an active research area due to the prevailing graph-structured data in the real world. Many real-world applications can be modeled with graphs. Modern application domains include web-scale social networks [26], recommender systems, knowledge graphs, and biological or protein networks. However, there are various challenges. First, the graphs generated from such applications are often large. Moreover, in some scenarios, the complete graph is not available, e.g., for privacy reasons. Thus, it becomes impractical to perform network analysis or compute various graph measures. Hence, graph sampling becomes an important task.Sampling is often the first step to …

An Intelligent Virtual Design Studio (Vds) For Integrative Design Of Green Buildings, Zhaozhou Meng

Dissertations - ALL

The overall goal of the study was to develop a "Virtual Design Studio (VDS)": a software platform for integrated, coordinated and optimized design of green building systems with low energy consumption, high indoor environmental quality (IEQ), and high level of sustainability. My dissertation research was focused on the development of a key VDS component -- an integrated design process and a near-real time performance simulation approach for fast feedbacks at the early stage of the integrated design process.

A design process module "Magic Cube" (MC) was developed for the VDS as the core for the design integration and coordination. It …

Inference And Learning In Spiking Neural Networks For Neuromorphic Systems, Amar Shrestha

Dissertations - ALL

Neuromorphic computing is a computing field that takes inspiration from the biological and physical characteristics of the neocortex system to motivate a new paradigm of highly parallel and distributed computing to take on the demands of the ever-increasing scale and computational complexity of machine intelligence esp. in energy-limited systems such as Edge devices, Internet-of-Things (IOT), and cyber physical systems (CPS). Spiking neural network (SNN) is often studied together with neuromorphic computing as the underlying computational model . Similar to the biological neural system, SNN is an inherently dynamic and stateful network. The state and output of SNN do not only …

Neuromorphic Systems For Pattern Recognition And Uav Trajectory Planning, Yilan Li

Dissertations - ALL

Detection and control are two essential components in an intelligent system. This thesis investigates novel techniques in both areas with a focus on the applications of handwritten text recognition and UAV flight control. Recognizing handwritten texts is a challenging task due to many different writing styles and lack of clear boundary between adjacent characters. The difficulty is greatly increased if the detection algorithms is solely based on pattern matching without information of dynamics of handwriting trajectories. Motivated by the aforementioned challenges, this thesis first investigates the pattern recognition problem. We use offline handwritten texts recognition as a case study to …

Experience-Driven Control For Networking And Computing, Zhiyuan Xu

Dissertations - ALL

Modern networking and computing systems have become very complicated and highly dynamic, which makes them hard to model, predict and control. In this thesis, we aim to study system control problems from a whole new perspective by leveraging emerging Deep Reinforcement Learning (DRL), to develop experience-driven model-free approaches, which enable a network or a device to learn the best way to control itself from its own experience (e.g., runtime statistics data) rather than from accurate mathematical models, just as a human learns a new skill (e.g., driving, swimming, etc). To demonstrate the feasibility and superiority of this experience-driven control design …

Seasonal Dynamics In Fish Distribution And Abundance Revealed By An Acoustic Survey In Coastal Waters Of The Suzu Area, Kochi Prefecture, Japan, Yanhui Zhu, Kenji Minami, Yuka Iwahara, Kentaro Oda, Koichi Hidaka, Osamu Hoson, Koji Morishita, Sentaro Tsuru, Masahito Hirota, Hokuto Shirakawa, Kazushi Miyashita

Journal of Marine Science and Technology–Taiwan

For Japan's fishery, it is essential to conduct sustainable and efficient fishery owing to the decline in fish catch as well as the fisher population. To obtain information that contributes to sustainable and efficient fishery, we researched appropriate set-net locations with regard to fish distribution, abundance, and environmental characteristics. We conducted surveys from 2017/5 to 2018/2 in the Suzu coastal area, Kochi Prefecture, where the only main industry is set-net fishery. We investigated the seasonal relationships between fish school characteristics, including distribution and size, and marine environmental conditions in the Suzu coastal area, using a quantitative echo sounder (KSE300 SONIC, …

Development Of A Biomass Assessment Method Using Fisheries Echo Sounder For Monitoring Whitebait Fishery In Shizuoka Prefecture, Japan, Kenichi Kobayashi, Yanhui Zhu, Daichi Oshiyama, Kenji Minami, Hokuto Shirakawa, Kazushi Miyashita

Journal of Marine Science and Technology–Taiwan

Coastal fisheries constitute the second most important sector in fishery production in Japan, following offshore fisheries. Thus, spatial evaluation of coastal fishing grounds and understanding of the changes in biomass are important for the sustainable use of fishing resources. For the assessment of spatial fish biomass, a quantitative echo sounder is used, but such a device is not mass produced and involves a high cost. In the present study, we examined the feasibility of biomass assessment using typical commercial fisheries echo sounders that are widely used and cheaper than quantitative echo sounders. Therefore, we aimed to verify the validity of …