Engineering Commons^™

Download Bmp Trains 2020 Newest Version, Martin Wanielista

BMP Trains

This is version 4.0.0 BMP Trains 2020. It is a computer program used to assess the average annual removal effectiveness of nutrients. It is based on research from the State of Florida and uses design criteria in the State. It is accepted by regulatory agencies in the State. It was posted May 1, 2020. Minor wording changes were made to the release dated April 15, 2020.

This version allows for greater flexibility in media selection. It also increases the reporting decimal places for TP removed in the Summary and Complete Reports A well as changes from fraction to ...

User Manual - Bmp Trains 2020 Newest Version, Martin Wanielista

BMP Trains

This update is for version 4.0.0 completed on May 1, 2020 for May 2020 release. This is a user manual to accompany the computer program called BMP Trains 2020. The user manual provides example problems useful to understanding the program. The user manual is updated when there is a need to respond to user comments or to incorporate new research. The BMP Trains 2020 program is used to assess the average annual effectiveness of nutrient removal from combinations of stormwater BMPs. Fifteen (15) example problems are used to illustrate design options for BMPs in the State of Florida.

Complete Issue, Volume 3, Issue 1

Journal of International Crisis and Risk Communication Research

This is the complete issue of JICRCR Volume 2, Issue 2.

Human-Machine Communication: Complete Volume. Volume 1

Human-Machine Communication

This is the complete volume of HMC Volume 1.

Sharing Stress With A Robot: What Would A Robot Say?, Honson Y. Ling, Elin A. Björling

Human-Machine Communication

With the prevalence of mental health problems today, designing human-robot interaction for mental health intervention is not only possible, but critical. The current experiment examined how three types of robot disclosure (emotional, technical, and by-proxy) affect robot perception and human disclosure behavior during a stress-sharing activity. Emotional robot disclosure resulted in the lowest robot perceived safety. Post-hoc analysis revealed that increased perceived stress predicted reduced human disclosure, user satisfaction, robot likability, and future robot use. Negative attitudes toward robots also predicted reduced intention for future robot use. This work informs on the possible design of robot disclosure, as well as ...

The Robot Privacy Paradox: Understanding How Privacy Concerns Shape Intentions To Use Social Robots, Christoph Lutz, Aurelia Tamò-Larrieux

Human-Machine Communication

Conceptual research on robots and privacy has increased but we lack empirical evidence about the prevalence, antecedents, and outcomes of different privacy concerns about social robots. To fill this gap, we present a survey, testing a variety of antecedents from trust, technology adoption, and robotics scholarship. Respondents are most concerned about data protection on the manufacturer side, followed by social privacy concerns and physical concerns. Using structural equation modeling, we find a privacy paradox, where the perceived benefits of social robots override privacy concerns.

Building A Stronger Casa: Extending The Computers Are Social Actors Paradigm, Andrew Gambino, Jesse Fox, Rabindra A. Ratan

Human-Machine Communication

The computers are social actors framework (CASA), derived from the media equation, explains how people communicate with media and machines demonstrating social potential. Many studies have challenged CASA, yet it has not been revised. We argue that CASA needs to be expanded because people have changed, technologies have changed, and the way people interact with technologies has changed. We discuss the implications of these changes and propose an extension of CASA. Whereas CASA suggests humans mindlessly apply human-human social scripts to interactions with media agents, we argue that humans may develop and apply human-media social scripts to these interactions. Our ...

Me And My Robot Smiled At One Another: The Process Of Socially Enacted Communicative Affordance In Human-Machine Communication, Carmina Rodríguez-Hidalgo

Human-Machine Communication

The term affordance has been inconsistently applied both in robotics and communication. While the robotics perspective is mostly object-based, the communication science view is commonly user-based. In an attempt to bring the two perspectives together, this theoretical paper argues that social robots present new social communicative affordances emerging from a two-way relational process. I first explicate conceptual approaches of affordance in robotics and communication. Second, a model of enacted communicative affordance in the context of Human-Machine Communication (HMC) is presented. Third and last, I explain how a pivotal social robot characteristic—embodiment—plays a key role in the process of ...

Ontological Boundaries Between Humans And Computers And The Implications For Human-Machine Communication, Andrea L. Guzman

Human-Machine Communication

In human-machine communication, people interact with a communication partner that is of a different ontological nature from themselves. This study examines how people conceptualize ontological differences between humans and computers and the implications of these differences for human-machine communication. Findings based on data from qualitative interviews with 73 U.S. adults regarding disembodied artificial intelligence (AI) technologies (voice-based AI assistants, automated-writing software) show that people differentiate between humans and computers based on origin of being, degree of autonomy, status as tool/tool-user, level of intelligence, emotional capabilities, and inherent flaws. In addition, these ontological boundaries are becoming increasingly blurred as ...

Toward An Agent-Agnostic Transmission Model: Synthesizing Anthropocentric And Technocentric Paradigms In Communication, Jaime Banks, Maartje M. A. De Graaf

Human-Machine Communication

Technological and social evolutions have prompted operational, phenomenological, and ontological shifts in communication processes. These shifts, we argue, trigger the need to regard human and machine roles in communication processes in a more egalitarian fashion. Integrating anthropocentric and technocentric perspectives on communication, we propose an agent-agnostic framework for human-machine communication. This framework rejects exclusive assignment of communicative roles (sender, message, channel, receiver) to traditionally held agents and instead focuses on evaluating agents according to their functions as a means for considering what roles are held in communication processes. As a first step in advancing this agent-agnostic perspective, this theoretical paper ...

Mike Hardin - Bmp Trains - January 31, 2020, Mike Hardin

BMP Trains

Dr. Mike Hardin's slides from his PowerPoint presentation during the BMPTRAINS workshop on January 30-31, 2020.

Rich Magee - Bmp Trains - January 31, 2020, Rich Magee

BMP Trains

Rich Magee's slides from his PowerPoint presentation during the BMPTRAINS workshop on January 30-31, 2020.

Martin Wanielista - Bmp Trains Example Application - January 31, 2020, Martin Wanielista

BMP Trains

Dr. Martin Wanielista's slides from his PowerPoint presentation during the BMPTRAINS workshop on January 30-31, 2020.

Ikiensinma Gogo-Abite - Bmp Trains Presentation - January 31, 2020, Ikiensinma Gogo-Abite

BMP Trains

Dr. Ikiensinma Gogo-Abite's slides from his PowerPoint presentation during the BMPTRAINS workshop on January 30-31, 2020.

Martin Wanielista - Bmp Trains Intro & Navigation - January 31, 2020, Martin Wanielista

BMP Trains

Dr. Martin Wanielista's slides from his PowerPoint presentation during the BMPTRAINS workshop on January 30-31, 2020.

Martin Wanielista - Bmp Trains Model Features - January 31, 2020, Martin Wanielista

BMP Trains

Dr. Martin Wanielista's slides from his PowerPoint presentation during the BMPTRAINS workshop on January 30-31, 2020.

Eric Livingston - Bmp Trains - January 31, 2020, Eric Livingston

BMP Trains

Eric Livingston's slides from his PowerPoint presentation during the BMPTRAINS workshop on January 30-31, 2020.

Harvey Harper - Afternoon Presentation Slides - January 30, 2020, Harvey H. Harper Iii

BMP Trains

Dr. Harvey Harper's slides from the afternoon presentation at the January 30, 2020 BMP Trains workshop.

Harvey Harper - Morning Presentation Slides - January 30, 2020, Harvey H. Harper Iii

BMP Trains

Dr. Harvey Harper's slides from the morning presentation at the January 30, 2020 BMP Trains workshop.

Ensuring Positive Definiteness In Linear Viscoelastic Material Functions Based On Prony Series, Christopher D. Rehberg

Honors Undergraduate Theses

This thesis presents a method to correct for non-positive-definiteness in linear viscoelastic material functions. Viscoelastic material functions for anisotropic materials need to be interconverted in a matrix coefficient prony series form, with a requirement of positive definiteness. Fitting is usually done as a uniaxial prony series, resulting in scalar coefficients. When these uniaxial coefficients are placed in a coefficient matrix, the required positive definiteness cannot be guaranteed. For those matrices that do not meet this requirement, finding the nearest symmetric semi-positive definite form of the matrix results in a viable prony series matrix coefficient with the required positive definiteness. These ...

Assessing 3d Printability Of Bioinks, Nicole Ramirez

Honors Undergraduate Theses

The field of tissue engineering (TE) is continuously improving through the use of additive manufacturing techniques (AM) such as three-dimensional (3D) bioprinting. The 3D bioprinter has significantly gained attention in the TE field because it is more efficient than regenerative medicine and is readily available as opposed to organ transplants. Working like a conventional 3D printer, the 3D bioprinter is able to dispense material layer by layer from the bottom up with the printing head able to move in the X, Y, and Z direction. This movement allows for the fabrication of structures with complex geometries. In this study, the ...

Thermal-Hydraulic Optimization Of The Heat Exchange Between A Molten Salt Small Modular Reactor And A Super-Critical Carbon Dioxide Power Cycle, James Sherwood

Honors Undergraduate Theses

The next generation of nuclear power sources, Gen. IV, will include an emphasis on small, modular reactor (SMR) designs, which will allow for standardized, factory-based manufacturing and flexibility in the design of power plants by utilizing one or several modular reactor units in parallel. One of the reactor concepts being investigated is the Molten Salt Reactor concept (MSR), which utilizes a molten salt flow loop to cool the reactor and transfer heat to the power conversion cycle (PCS).Here, the use of a supercritical carbon dioxide (S-CO2) Brayton cycle is assumed for that PCS. The purpose of this thesis is ...

A Deep Learning Approach For Real-Time Crash Risk Prediction At Urban Arterials, Pei Li

Electronic Theses and Dissertations, 2020-

Real-time crash risk prediction aims to predict the crash probabilities within a short time period, it is expected to play a crucial role in the advanced traffic management system. However, most of the existing studies only focused on freeways rather than urban arterials because of the complicated traffic environment of the arterials. This thesis proposes a long short-term memory convolutional neural network (LSTM-CNN) to predict the real-time crash risk at arterials. The advantage of this model is it can benefit from both LSTM and CNN. Specifically, LSTM captures the long-term dependency of the data while CNN extracts the time-invariant features ...

Contact Mechanics Of Fish Scale Inspired Exoskeletal Components On A Nonlinear Elastic Substrate, Jeremy Stephen

Electronic Theses and Dissertations, 2020-

The contact mechanics of structures with exoskeletal components deviate significantly from classical Hertzian and non-linear models. In the case of fish scale inspired samples under blunt indentation loading these factors are inherently tied to both the size of the indenter and the scales' distribution and orientation. Control of these geometric parameters provides a pathway to tailor the properties of surfaces for better grip, damage mitigation and controlled deformation. This study explores the response of a substrate with stiff scales protruding from its surface, which is comprised of a soft elastomeric material with properties typical of those in soft robotics applications ...

Efforts In Numerical Modeling Of Undulating Propulsion, George Loubimov

Electronic Theses and Dissertations, 2020-

Naval propulsion is a critical component for every vessel, and it is the subject of this thesis, specifically bio-inspired propulsion. Numerical modeling is used as a tool to understand the relationship between mechanical undulation and the hydrodynamic response. Through three stages, the research presented here examines and refines tools for understanding fundamentals of undulating propulsion. Those three objectives are: to verify and validate the proposed numerical models against existing experiments, establishing a baseline of fidelity; to examine the causal linkage between fluid-boundary interactions and undulating propulsion; and to create a moment based method for characterizing generalized undulating propulsive mechanisms. First ...

Prediction Of Pedestrians' Red Light Violations Using Deep Learning, Shile Zhang

Electronic Theses and Dissertations, 2020-

Pedestrians are regarded as Vulnerable Road Users (VRUs). Each year, thousands of pedestrians' deaths are caused by traffic crashes, which take up 16% of the total road fatalities and injuries in the U.S. (FHWA, 2018). Crashes can happen if there are interactions between VRUs and motorized transportation. And pedestrians' unexpected crossings, such as red-light violations at the signalized intersections, would expose them to motorized transportation and cause potential collisions. This thesis is intended to predict the pedestrians' red-light violation behaviors at the signalized crosswalks based on an LSTM (Long Short-term Memory) neural network. With video data collected from real ...

Traffic Speed Prediction And Mobility Behavior Analysis Using On-Demand Ride-Hailing Service Data, Jiechao Zhang

Electronic Theses and Dissertations, 2020-

Providing accurate traffic speed prediction is essential for the success of Intelligent Transportation Systems (ITS) deployments. Accurate traffic speed prediction allows traffic managers take proper countermeasures when emergent changes happen in the transportation network. In this thesis, we present a computationally less expensive machine learning approach XGBoost to predict the future travel speed of a selected sub-network in Beijing's transportation network. We perform different experiments for predicting speed in the network from future 1 min to 20 min. We compare the XGBoost approach against other well-known machine learning and statistical models such as linear regression and decision tree, gradient ...

Additive Manufacturing Of Elastomeric Lung Phantoms In Radiation Oncology, Jonathan Sookdeo

Electronic Theses and Dissertations, 2020-

Cancer is a particularly difficult disease to manage and treat, with cancer of the lung being a notably complex disease to treat with radiation therapy. In this study, a stereolithography-based 3D printing process was developed to fabricate human lung phantoms with identical mechanical and physical properties of human lungs in order to assist with targeted radiation therapy. A highly flexible UV photopolymer material with an elastic modulus of approximately 350 KPa was formulated for use in a custom-built stereolithography-based 3D printing apparatus. The printer built for 3D printing of the photopolymer features a large build volume with off-shelf components with ...

Rotational And Shower Head Cooling Hole Effects On Leading-Edge Jet Impingement Heat Transfer, Weston Olson

Electronic Theses and Dissertations, 2020-

Jet Impingement and shower head cooling are critical cooling techniques used to maintain turbine blades at operational temperatures. Jet impingement is extremely effective at removing large amounts of heat flux from the target surface, the inner blade wall, through stagnation point heat transfer. Shower head cooling produces a cooling film around the exterior of the blade, in return reducing external heat flux. The current work consisted of investigating the jet impingement effectiveness with rotational effects for two different cooling schemes. The analysis was conducted numerically using STAR CCM+ with two different turbulence models, the three equation Lag Elliptic Blending K ...

Mechanical Properties Of Boron Carbide (B4c), Ruslan Kuliiev

Electronic Theses and Dissertations, 2020-

Boron carbide (B4C) is one of the most important opaque boride ceramics that has high hardness and Young's modulus that along with low density lead to a significant resistance to ballistic impact and, thus, B4C is broadly used as a protective material. B4C has also high neutron capturing cross section; therefore, it is used as control rods and neutron absorption shielding in nuclear reactors. In this work thermal, electrical and mechanical properties of dense B4C ceramics (99%) sintered using Spark Plasma Sintering (SPS) were investigated. The Young's modulus of B4C measured by three different techniques – IE, RUS, and ...