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Articles 74491 - 74520 of 196088

Full-Text Articles in Engineering

Analysis Of Fuel Cell Applied For Submarine Air Independent Propulsion (Aip) System, Jen-Chieh Lee, Tony Shay Oct 2018

Analysis Of Fuel Cell Applied For Submarine Air Independent Propulsion (Aip) System, Jen-Chieh Lee, Tony Shay

Journal of Marine Science and Technology–Taiwan

In this paper, the performance of a 2000-ton hybrid AIP system submarine is investigated by analyzing the weight, volume and efficiency of its propulsion system. The engine of the investigated AIP system employs a low temperature polymer electrolyte membrane fuel cell which makes use of the hydrogen and oxygen as the reactants. More specifically, the reactants of fuel cell in this study are considered from the combination of three fuel storage systems, methanol (MeOH), liquid hydrogen (LH2) and metal hydride (MH2), and two oxidant storage systems, liquid oxygen (LOX) and compressed oxygen (O2). Based on the assumed various daily propulsion …


A Novel Damaged Ship Righting Plan Optimization Method Based On Artificial Bee Colony Algorithm, Kai Li, Zhijiang Yuan, Xiaogang Jiang Oct 2018

A Novel Damaged Ship Righting Plan Optimization Method Based On Artificial Bee Colony Algorithm, Kai Li, Zhijiang Yuan, Xiaogang Jiang

Journal of Marine Science and Technology–Taiwan

With the increase of the sea disaster caused by ship capsizing, self-rescuing ability of damaged ship has attracted much attention among ship designers, ship owners, classification societies and authorities. Damaged ship righting optimization remains a very complicated problem due to the feasible combinations of counter-flooding approaches with different compartments and loads are numerous. The effectiveness and efficiency of the artificial bee colony (ABC) algorithm has been demonstrated on the combinatorial optimization problem. In this paper, an ABC algorithm-based righting plan optimization method for damaged ship is proposed. In this method, the objective is to minimize the inclination angle under a …


The Trefftz Test Functions Method For Solving The Generalized Inverse Boundary Value Problems Of Laplace Equation, Chein-Shan Liu, Yung-Wei Chen, Jiang-Ren Chang Oct 2018

The Trefftz Test Functions Method For Solving The Generalized Inverse Boundary Value Problems Of Laplace Equation, Chein-Shan Liu, Yung-Wei Chen, Jiang-Ren Chang

Journal of Marine Science and Technology–Taiwan

The issue of data completion is important for the elliptic type partial differential equation. In the inverse Cauchy problem, we need to complete the boundary data by over-specifying Dirichlet and Neumann data on a portion of the boundary. In this paper, we numerically solve the generalized inverse boundary value problems of Laplace equation in a rectangle with one boundary function and two boundary functions missing, which are more difficult than the inverse Cauchy problem. By using the technique of a boundary integral equation method together with a specially designed Trefftz test function, we can complete the boundary data by requiring …


Sound And Vibration Analysis Of A Marine Diesel Engine Via Reverse Engineering, Jinsiang Shaw, Yun-Hong Wang, Cherng-Yuan Lin Oct 2018

Sound And Vibration Analysis Of A Marine Diesel Engine Via Reverse Engineering, Jinsiang Shaw, Yun-Hong Wang, Cherng-Yuan Lin

Journal of Marine Science and Technology–Taiwan

In this study, a sound and vibration analysis of a marine diesel engine was conducted. The vibration and sound signals of the engine under various operating conditions were measured and analyzed by applying a spectrum analysis and an ordertracking analysis. In addition, a finite-element model of the engine was constructed via reverse engineering from a 3D scan. The main causes of engine vibration and noise were clarified and identified individually through the experiments and the engine model. Finally, the biodiesel-blended diesel fuel was used for the engine for comparing sound and vibration performance with the ultra-low sulfur diesel (ULSD). In …


Changing Flow Capacity In The Upper Yellow River By Using A Standardized Dike, Tao Bai, Jian Wei, Rong Ma, Chuan-Hui Ma, Qiang Huang Oct 2018

Changing Flow Capacity In The Upper Yellow River By Using A Standardized Dike, Tao Bai, Jian Wei, Rong Ma, Chuan-Hui Ma, Qiang Huang

Journal of Marine Science and Technology–Taiwan

The flow capacity of the Ningxia-Inner Mongolia reach of the Yellow River has declined substantially for the effects of reservoir regulation, higher concentration of channel sedimentation, reduced upstream inflow, and increased demand for water resources downstream. This has resulted in frequent flooding and ice-related incidents, which severely threaten downstream safety. Accordingly, this paper proposes flow-capacity limitations on the basis of a standardized dike design to acquire optimal safety overflow for the upstream of Yellow River. First, historical data (1946-2012) from six hydrological stations (S1-S6) are collected, and flow capacities covering 1965-2006 (Data 1) and 2007-2010 (Data 2) are compared. Second, …


Flow Characteristics And Velocity Fields Of Swirling Double-Concentric Jets At High Central Jet Reynolds Numbers, Minh Duc Le, Ching Min Hsu, Rong Fung Huang Oct 2018

Flow Characteristics And Velocity Fields Of Swirling Double-Concentric Jets At High Central Jet Reynolds Numbers, Minh Duc Le, Ching Min Hsu, Rong Fung Huang

Journal of Marine Science and Technology–Taiwan

The flow characteristics and velocity fields of swirling doubleconcentric jets at a high central jet Reynolds number were studied. The central jet Reynolds numbers varied from 700 < Rec < 1000. The flow behaviors of the swirling double-concentric jets were observed using a laser light sheet assisted by a smoke-wire flow visualization technique. The time-averaged velocity vectors and streamlines, normalized velocity contours, fluctuation intensity contours, and vorticity contours were carried out using particle image velocimeter (PIV). Two characteristic flow modes are classified: the central jet-dominated radial flow occurs at a low annular jet Reynolds number while the high-turbulence swirling wake appears at a high annular jet Reynolds number. The flow feature of the central jet-dominated radial flow presents a wideopen shear layer because of the effect of a high-speed deflected central jet. A large dual-ring vortex in the wake and two pairs of vortices in the gap between the control disk and primary disk in the high-turbulence swirling wake mode appear. The turbulence intensity in the high-turbulence swirling wake were significantly larger than those in the central jet-dominated radial flow.


Performance Analysis Of An Active Heave Compensation System On An Offshore Supply Vessel Using The Hardware-In-The-Loop Simulation, Luman Zhao, Myung-Il Roh Oct 2018

Performance Analysis Of An Active Heave Compensation System On An Offshore Supply Vessel Using The Hardware-In-The-Loop Simulation, Luman Zhao, Myung-Il Roh

Journal of Marine Science and Technology–Taiwan

The active heave compensation (AHC) system on an offshore supply vessel (OSV) plays a pivotal role in offshore installation operations by minimizing the heave motion of suspended subsea equipment, regardless of the OSV motion. In order to successfully perform its function, the AHC system should have a suitable control algorithm, and its performance must be evaluated in advance of operation. Performance analysis of the AHC system requires complicated testing procedures, and a great deal of associated equipment. In particular, such analysis is often very costly and time-consuming, and realistic conditions are typically impossible to establish in a testing environment. To …


Qualitative Survey Of A Coastal Region From A Polarimetric Analysis Of Synthetic Aperture Radar Images, Hsiu-Wen Wang, Hsuan Ren Oct 2018

Qualitative Survey Of A Coastal Region From A Polarimetric Analysis Of Synthetic Aperture Radar Images, Hsiu-Wen Wang, Hsuan Ren

Journal of Marine Science and Technology–Taiwan

This study applied a time series of fully polarimetric synthetic aperture radar (SAR) images using RADARSAT-2 to analyze the polarimetric responses of the west coast of Taiwan. A total of seven images were acquired from 2009 and 2012, covering the low, high, and similar tide levels. A four-component target decomposition algorithm was used to investigate the tidal effects and dynamic ocean interactions of sandbanks near the coast. The experimental results showed that the Yamaguchi fourcomponent decomposition can extract different features in the coastal area efficiently and effectively. From the target decomposition image constructed using the Yamaguchi four-component model, strong double-bounce …


First Observations Of Volcanic Eruption Clouds From The L1 Earth-Sun Lagrange Point By Dscovr/Epic, Simon Carn, N. A. Krotov, B. L. Fisher, C. Li, A. J. Prata Oct 2018

First Observations Of Volcanic Eruption Clouds From The L1 Earth-Sun Lagrange Point By Dscovr/Epic, Simon Carn, N. A. Krotov, B. L. Fisher, C. Li, A. J. Prata

Michigan Tech Publications, Part 1

Volcanic sulfur dioxide (SO2) emissions have been measured by ultraviolet sensors on polar‐orbiting satellites for several decades but with limited temporal resolution. This precludes studies of key processes believed to occur in young (~1–3 hr old) volcanic clouds. In 2015, the launch of the Earth Polychromatic Imaging Camera (EPIC) aboard the Deep Space Climate Observatory (DSCOVR) provided an opportunity for novel observations of volcanic eruption clouds from the first Earth‐Sun Lagrange point (L1). The L1 vantage point provides continuous observations of the sunlit Earth, offering up to eight or nine observations of volcanic SO2 clouds in the …


Photocatalytic Activity: Experimental Features To Report In Heterogeneous Photocatalysis, Md. Ariful Hoque, Marcelo I. Guzman Oct 2018

Photocatalytic Activity: Experimental Features To Report In Heterogeneous Photocatalysis, Md. Ariful Hoque, Marcelo I. Guzman

Chemistry Faculty Publications

Heterogeneous photocatalysis is a prominent area of research with major applications in solar energy conversion, air pollution mitigation, and removal of contaminants from water. A large number of scientific papers related to the photocatalysis field and its environmental applications are published in different journals specializing in materials and nanomaterials. However, many problems exist in the conception of papers by authors unfamiliar with standard characterization methods of photocatalysts as well as with the procedures needed to determine photocatalytic activities based on the determination of “apparent quantum efficiencies” within a wavelength interval or “apparent quantum yields” in the case of using monochromatic …


Bipartite Quantum Interactions: Entangling And Information Processing Abilities, Siddhartha Das Oct 2018

Bipartite Quantum Interactions: Entangling And Information Processing Abilities, Siddhartha Das

LSU Doctoral Dissertations

The aim of this thesis is to advance the theory behind quantum information processing tasks, by deriving fundamental limits on bipartite quantum interactions and dynamics. A bipartite quantum interaction corresponds to an underlying Hamiltonian that governs the physical transformation of a two-body open quantum system. Under such an interaction, the physical transformation of a bipartite quantum system is considered in the presence of a bath, which may be inaccessible to an observer. The goal is to determine entangling abilities of such arbitrary bipartite quantum interactions. Doing so provides fundamental limitations on information processing tasks, including entanglement distillation and secret key …


Carbon-Coated Fep Nanoparticles Anchored On Carbon Nanotube Networks As Anode For Long-Life Sodium-Ion Storage, Chunrong Ma, Zhengguang Fu, Changjian Deng, Xiaozhen Liao, Yushi He, Zifeng Ma, Hui Xiong Oct 2018

Carbon-Coated Fep Nanoparticles Anchored On Carbon Nanotube Networks As Anode For Long-Life Sodium-Ion Storage, Chunrong Ma, Zhengguang Fu, Changjian Deng, Xiaozhen Liao, Yushi He, Zifeng Ma, Hui Xiong

Materials Science and Engineering Faculty Publications and Presentations

A novel electrode design strategy of carbon-coated FeP particles anchored on a conducting carbon nanotube network (CNT@FePC) is designed to achieve a superior sodium ion storage. Such a unique structure demonstrated excellent long-life cycling stability (a 95% capacity retention for more than 1200 cycles at 3 A g-1) and rate capability (delivered 272 mAh g-1 at 8 A g-1).


An Accurate And Efficient Time Delay Estimation Method Of Ultra-High Frequency Signals For Partial Discharge Localization In Substations, Pengfei Li, Kejie Dai, Tong Zhang, Yantao Jin, Yushun Liu, Yuan Liao Oct 2018

An Accurate And Efficient Time Delay Estimation Method Of Ultra-High Frequency Signals For Partial Discharge Localization In Substations, Pengfei Li, Kejie Dai, Tong Zhang, Yantao Jin, Yushun Liu, Yuan Liao

Electrical and Computer Engineering Faculty Publications

Partial discharge (PD) localization in substations based on the ultra-high frequency (UHF) method can be used to efficiently assess insulation conditions. Localization accuracy is affected by the accuracy of the time delay (TD) estimation, which is critical for PD localization in substations. A review of existing TD estimation methods indicates that there is a need to develop methods that are both accurate and computationally efficient. In this paper, a novel TD estimation method is proposed to improve both accuracy and efficiency. The TD is calculated using an improved cross-correlation algorithm based on full-wavefronts of array UHF signals, which are extracted …


Hemodynamics And Pathology Of An Enlarging Abdominal Aortic Aneurysm Model In Rabbits, Hongmei Chen, Yonghua Bi, Siyeong Yu, Linxia Gu, Xiaoyan Zhu, Xinwei Han Oct 2018

Hemodynamics And Pathology Of An Enlarging Abdominal Aortic Aneurysm Model In Rabbits, Hongmei Chen, Yonghua Bi, Siyeong Yu, Linxia Gu, Xiaoyan Zhu, Xinwei Han

Department of Mechanical and Materials Engineering: Faculty Publications

Hemodynamics may play an essential role in the initiation and progression of abdominal aortic aneurysm (AAA). We aimed to study the mechanism of self-healing process by the changes of hemodynamics and pathology in an enlarging AAA in rabbits. Seventy-two rabbits were randomly divided into three groups. Rabbits underwent extrinsic coarctation and received a 10-minute elastase incubation in Group A and Group B. Absorbable suture used in Group A was terminated by balloon dilation at week 4. Diameter was measured after 1, 3, 5, and 15 weeks, computational fluid dynamics analysis was performed at week 3 and week 15. Rabbits were …


The Santa Clara, 2018-10-11, Santa Clara University Oct 2018

The Santa Clara, 2018-10-11, Santa Clara University

The Santa Clara

No abstract provided.


Anharmonic Phonon Coupling In Single-Crystal Semiconducting And Metal-Like Van Der Waals In2se3, John Igo, Shengwen Zhou, Zhi Gang Yu, Oliver Peter Amnuayphol, Feng Zhao, Yi Gu Oct 2018

Anharmonic Phonon Coupling In Single-Crystal Semiconducting And Metal-Like Van Der Waals In2se3, John Igo, Shengwen Zhou, Zhi Gang Yu, Oliver Peter Amnuayphol, Feng Zhao, Yi Gu

Electrical and Computer Engineering Faculty Research & Creative Works

We study the anharmonic phonon interactions in the single-crystal semiconducting (α) and metal-like (β) van der Waals In2Se3 layers, through the determination and analysis of temperature-dependent Raman spectra and thermal conductivities, supported by first-principles calculations of phonon band structures. Our results indicate strong lattice anharmonicity in β-In2Se3 giving rise to significant phonon peak broadening and a suppressed lattice thermal conductivity and reveal that the anharmonic phonon interactions are the main thermal transport-limiting mechanism in both phases. The low thermal conductivity combined with a large electrical conductivity makes the metal-like β-In2Se3 a potential efficient thermoelectric material.


Application Of Machine Learning To Biometric Systems- A Survey, Lina Chate, Shahram Latifi Oct 2018

Application Of Machine Learning To Biometric Systems- A Survey, Lina Chate, Shahram Latifi

Electrical & Computer Engineering Faculty Research

A summary of existing work on the use of machine learning and deep learning methods in biometrics is presented here. Biometrics traits covered include physiological (image, voice) as well as behavioral (gait, signature) features. This study shows that machine learning has a high potential to improve the performance of biometrics systems due to ML's ability to mine, search and analyze big sets of data, performing matching tasks more quickly and reliably than the conventional methods. At the end some key challenges in use of adopting ML in biometrics systems are pointed out.


Techniques To Stimulate And Interrogate Cell–Cell Adhesion Mechanics, Ruiguo Yang, Joshua A. Broussard, Kathleen J. Green, Horacio D. Espinosa Oct 2018

Techniques To Stimulate And Interrogate Cell–Cell Adhesion Mechanics, Ruiguo Yang, Joshua A. Broussard, Kathleen J. Green, Horacio D. Espinosa

Department of Mechanical and Materials Engineering: Faculty Publications

Cell–cell adhesions maintain the mechanical integrity of multicellular tissues and have recently been found to act as mechanotransducers, translating mechanical cues into biochemical signals. Mechanotransduction studies have primarily focused on focal adhesions, sites of cell-substrate attachment. These studies leverage technical advances in devices and systems interfacing with living cells through cell–extracellular matrix adhesions. As reports of aberrant signal transduction originating from mutations in cell–cell adhesion molecules are being increasingly associated with disease states, growing attention is being paid to this intercellular signaling hub. Along with this renewed focus, new requirements arise for the interrogation and stimulation of cell–cell adhesive junctions. …


Urban Agriculture And Small Farm Water Use: Case Studies And Trends From Cache Valley, Utah, Tyler Pratt, L. Niel Allen, David E. Rosenberg, Andrew A. Keller, Kelly Kopp Oct 2018

Urban Agriculture And Small Farm Water Use: Case Studies And Trends From Cache Valley, Utah, Tyler Pratt, L. Niel Allen, David E. Rosenberg, Andrew A. Keller, Kelly Kopp

Publications

The landscape of water in Utah is changing due to population growth, conversion of agricultural land to urban development, and increasing awareness of water scarcity. At the same time, Utah is experiencing a growing number of urban and small farms, but knowledge of water use in this sector is limited. Better understanding of what occurs at the field level on urban and small farms can aid state water use estimates and conservation efforts, and assist farmers in moving towards wiser water management. For the 2015 growing season, we performed irrigation evaluations for 24 urban and small farms in Cache Valley, …


Embedding Sustainability In Lean Six Sigma Efforts, Nadiye O. Erdil, Can B. Aktas, Omid M. Arani Oct 2018

Embedding Sustainability In Lean Six Sigma Efforts, Nadiye O. Erdil, Can B. Aktas, Omid M. Arani

Mechanical and Industrial Engineering Faculty Publications

The emphasis on the concept of sustainability in businesses and operations is growing either due to increasing public interest, regulatory pressures, or corporate social responsibility. However, where and how to integrate sustainability needs further development for broadening its applications. Using Lean and Six Sigma (LSS) principles in sustainability studies is becoming popular in research and practice. The common approach in these studies is to identify a sustainability project followed by current state sustainability performance assessment, and then work towards improving sustainability performance using LSS tools. The goal of this study was to develop a model framework to fully embed sustainability …


Usu Researchers Evaluate Drones For Bridge Inspections | College Of Engineering, Usu College Of Engineering Oct 2018

Usu Researchers Evaluate Drones For Bridge Inspections | College Of Engineering, Usu College Of Engineering

College of Engineering News

Researchers at Utah State University are evaluating the effectiveness of using drones to inspect cracks of concern underneath bridges.


Meta-Learning Related Tasks With Recurrent Networks: Optimization And Generalization, Thy Nguyen, A. Steven Younger, Emmett Redd, Tayo Obafemi-Ajayi Oct 2018

Meta-Learning Related Tasks With Recurrent Networks: Optimization And Generalization, Thy Nguyen, A. Steven Younger, Emmett Redd, Tayo Obafemi-Ajayi

Electrical and Computer Engineering Faculty Research & Creative Works

There have been recent interest in meta-learning systems: I.e., networks that are trained to learn across multiple tasks. This paper focuses on optimization and generalization of a meta-learning system based on recurrent networks. The optimization investigates the influence of diverse structures and parameters on its performance. We demonstrate the generalization (robustness) of our meta-learning system to learn across multiple tasks including tasks unseen during the meta training phase. We introduce a meta-cost function (Mean Squared Fair Error) that enhances the performance of the system by not penalizing it during transitions to learning a new task. Evaluation results are presented for …


Elm-Som: A Continuous Self-Organizing Map For Visualization, Renjie Hu, Venous Roshdibenam, Hans J. Johnson, Emil Eirola, Anton Akusok, Yoan Miche, Kaj Mikael Björk, Amaury Lendasse Oct 2018

Elm-Som: A Continuous Self-Organizing Map For Visualization, Renjie Hu, Venous Roshdibenam, Hans J. Johnson, Emil Eirola, Anton Akusok, Yoan Miche, Kaj Mikael Björk, Amaury Lendasse

Engineering Management and Systems Engineering Faculty Research & Creative Works

This Paper Presents a Novel Dimensionality Reduction Technique: Elm-Som. This Technique Preserves the Intrinsic Quality of Self-Organizing Maps (Som): It is Nonlinear and Suitable for Big Data. It Also Brings Continuity to the Projection using Two Extreme Learning Machine (Elm) Models, the First One to Perform the Dimensionality Reduction and the Second One to Perform the Reconstruction. Elm-Som is Tested Successfully on Six Diverse Datasets. Regarding Reconstruction Error, Elm-Som is Comparable to Som While Bringing Continuity.


Off-Policy Integral Reinforcement Learning For Semi-Global Constrained Output Regulation Of Continuous-Time Linear Systems, Yongliang Yang, Xianzhong Chen, Yixin Yin, Donald C. Wunsch Oct 2018

Off-Policy Integral Reinforcement Learning For Semi-Global Constrained Output Regulation Of Continuous-Time Linear Systems, Yongliang Yang, Xianzhong Chen, Yixin Yin, Donald C. Wunsch

Electrical and Computer Engineering Faculty Research & Creative Works

This paper presents a data-driven method based on off-policy integral reinforcement learning to solve the semi-global output regulation of continuous-time linear systems with input saturation. A family of state feedback laws for the input constrained output regulation problem is designed based on solving an algebraic Riccati equation. In contrast to the existing methods, complete knowledge of the system dynamics is no longer required in this paper. Instead, the data collected from online implementation is efficiently utilized to design the controller. Therefore, the controller design in this paper is data driven. It is shown that the presented method can find feedback …


Civil Engineering And Construction News, Georgia Southern University Oct 2018

Civil Engineering And Construction News, Georgia Southern University

Civil Engineering & Construction: News & Publications (2011-2022)

  • Professor and Chair – Search # 67642


Identifying Key Factors Associated With High Risk Asthma Patients To Reduce The Cost Of Health Resources Utilization, Amani Ahmad Oct 2018

Identifying Key Factors Associated With High Risk Asthma Patients To Reduce The Cost Of Health Resources Utilization, Amani Ahmad

LSU Master's Theses

Asthma is associated with frequent use of primary health services and places a burden on the United States economy. Identifying key factors associated with increased cost of asthma is an essential step to improve practices of asthma management.

The aim of this study was to identify factors associated with over utilization of primary health services and increased cost via claims data and to explore the effectiveness of case management program in reducing overall asthma related cost.

Claims data analysis for Medicaid insured asthma patients in Louisiana was conducted. Asthma patients were identified using their ICD-9 and ICD-10 codes, forward variable …


Thin-Film Block Copolymers (Bcps) Self-Assembly As Versatile Patterning Scheme For Functional Nanomaterials, Le Zhang Oct 2018

Thin-Film Block Copolymers (Bcps) Self-Assembly As Versatile Patterning Scheme For Functional Nanomaterials, Le Zhang

LSU Master's Theses

Nanopattern generation is required for building various structural entities in every production process that involves nanostructures. Advancing nanopatterning technologies play an important role in developing and broadening the current nanopatterning technologies to meet up with the ever-demanding requirements in the realm of smaller feature sizes, smoother line-edge roughness (LER) and facile pattern transfer in pursuit of faster computer processors, better electrocatalysts and more compact and intelligent sensors, etc. Conventionally, patterning needs are heavily relied on photolithography, a technique that dominate chip-making industry for more than 50 years. However conventional photolithography is bounded by inherent resolution limits and difficult to be …


Climbing The Crustal Ladder: Magma Storage-Depth Evolution During A Volcanic Flare-Up, Guilherme A. R. Gualda, Darren M. Gravley, Michelle Connor, Brooke Hollmann, Ayla S. Pamukcu, Florence Begue, Mark S. Ghiorso, Chad Deering Oct 2018

Climbing The Crustal Ladder: Magma Storage-Depth Evolution During A Volcanic Flare-Up, Guilherme A. R. Gualda, Darren M. Gravley, Michelle Connor, Brooke Hollmann, Ayla S. Pamukcu, Florence Begue, Mark S. Ghiorso, Chad Deering

Michigan Tech Publications, Part 1

Very large eruptions (>50 km3) and supereruptions (>450 km3) reveal Earth’s capacity to produce and store enormous quantities (>1000 km3) of crystal-poor, eruptible magma in the shallow crust. We explore the interplay between crustal evolution and volcanism during a volcanic flare-up in the Taupo Volcanic Zone (TVZ, New Zealand) using a combination of quartz-feldspar-melt equilibration pressures and time scales of quartz crystallization. Over the course of the flare-up, crystallization depths became progressively shallower, showing the gradual conditioning of the crust. Yet, quartz crystallization times were invariably very short (<100 years), demonstrating that very large reservoirs of eruptible magma were transient crustal features. We conclude that the dynamic nature of the TVZ crust favored magma eruption over storage. Episodic tapping of eruptible magmas likely prevented a supereruption. Instead, multiple very large bodies of eruptible magma were assembled and erupted in decadal time scales.


Using Augmented Reality To Enhance Learning Experiences About Electrical Circuits, Juan Estrella Oct 2018

Using Augmented Reality To Enhance Learning Experiences About Electrical Circuits, Juan Estrella

Publications and Research

The term Augmented Reality (AR) refers to the technologies that superimpose digital content generated by computers over the user’s view of the real world. AR technologies enhance the version of the physical environment with computer-generated sensory input such as sound, video, or graphics overlaid on top of the real-world view. In recent years, AR has moved beyond expensive military applications and has now entered a wide variety of domains. In engineering education, AR technologies can serve as a learning aid as well as a basis for innovation. The technology provides 3-D visualizations that allow to: (i) observe flaws in designs …


Evaluating The Effect Of Shear Stress On Graft-To Zwitterionic Polycarboxybetaine Coating Stability Using A Flow Cell, Andrew Belanger, Andre Decarmine, Shaoyi Jiang, Keith Cook, Kagya Amoako Oct 2018

Evaluating The Effect Of Shear Stress On Graft-To Zwitterionic Polycarboxybetaine Coating Stability Using A Flow Cell, Andrew Belanger, Andre Decarmine, Shaoyi Jiang, Keith Cook, Kagya Amoako

Mechanical and Industrial Engineering Faculty Publications

The effect of surface coatings on the performance of antifouling activity under flow can be influenced by the flow/coating interactions. This study evaluates the effect of surface coatings on antifouling activity under different flows for the analyses of coating stability. This was done by exposing DOPA-PCB-300/dopamine coated polydimethylsiloxane (PDMS) to physiological shear stresses using a recirculation system which consisted of dual chamber acrylic flow cells, tygon tubing, flow probe and meter, and perfusion pumps. The effect of shear stress induced by phosphate buffered saline flow on coating stability was characterized with differences in fibrinogen adsorption between control (coated PDMS not …