Engineering Commons^™

Laser-Assisted Micromachining Systems And Methods, Yung C. Shin, Xiangyang Dong

Mechanical and Aerospace Engineering Faculty Research & Creative Works

Laser-assisted micromachining methods and systems capable of providing flexible beam positioning and low incident angles. Such laser-assisted micromachining systems preferably include a laser beam source, a cutting tool, means for engaging a workpiece with the cutting tool, optical elements arranged to define a path of a laser beam emitted by the laser beam source wherein the optical elements include at least a first mirror mounted in fixed relation to the laser beam source, and means for adjustably mounting a second mirror to project the laser beam onto the workpiece in proximity to the cutting tool and at an incidence angle …

Reformulated Red Mud: A Robust Catalyst For In Situ Catalytic Pyrolysis Of Biomass, Foster Agblevor, Huamin Wang, S. Beis, K. Christian, A. Slade, O. Hietsoi, D. M. Santosa

Biological Engineering Faculty Publications

Biomass feedstocks contain inorganic compounds generally classified as ash. The ash consists of compounds of potassium, calcium, magnesium, silicon, phosphorus. and other elements. These elements have been reported to influence both the pyrolysis reactions as well as the destabilization of the pyrolysis oils during storage. The inorganic elements have also been reported to deposit on catalyst surfaces during in situ catalytic pyrolysis leading to the eventual deactivation of acidic catalysts such as zeolites. The deposition of inorganic elements and their effects on formulated red mud (FRM) catalyst during in situ catalytic pyrolysis of pinyon juniper wood was investigated. The inorganic …

A Bibliometric Survey On The Diagnosis Of Plant Leaf Diseases Using Artificial Intelligence, Rutuja Rajendra Patil, Sumit Kumar Dr

Library Philosophy and Practice (e-journal)

Due to uncertain environmental conditions such as untimely rainfall, hailstorms, draught, fog the agriculture sector faces huge loss in crop yield. One of the biggest reason is plant leaf diseases. Therefore the need arises to diagnose the plant leaf diseases beforehand so that the diseases could be avoided and crop yield loss could be minimized. The paper represents the bibliometric study of plant leaf disease diagnosis using Artificial Intelligence. The study focuses on 472 scientific documents such as journals, articles, book chapters publicized in various journals. These documents are extracted from Scopus database after querying it with keywords related to …

Construction Labor Productivity Modeling And Use Of Neural Networks: A Bibliometric Survey, Shalaka Hire, Sayali Sandbhor

Library Philosophy and Practice (e-journal)

Productivity of a project has a major impact on its cost and profitability. In spite of construction being labor intensive field with labor cost adding up to 30% to 50% of overall project cost, the productivity of labor is one of the least studied areas in the construction industry. It requires to be given due attention to the issues affecting labor productivity and design solution using soft computing techniques to improve the overall performance of the industry. This research paper aims to conduct a bibliographic survey of the literature available in the domain of Labor Productivity (LP) as well as …

Integrated Quantum Information Processing Controlled Phase Gate, Richard S. Kim, Attila A. Szep, Michael L. Fanto, Paul M. Alsing, Gordon E. Lott, Christopher C. Tison

AFIT Patents

An electro-optical directional coupler is provided having a substrate and a first and second optical waveguide formed on the substrate, where the second waveguide extends adjacent to and parallel with the first waveguide for at least one interaction length. The interaction length has a first end and a second end such that an optical signal applied only to one of the first and second waveguides couples to the other of the first and second waveguides between the ends. A first electrode is proximate the first and second waveguides and between the ends of the interaction length. A first voltage applied …

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 social communicative …

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 technologies emulate …

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 …

Swe Extravaganza Jr Inspiring A New Generation Of Engineers, Usu College Of Engineering

College of Engineering News

Feb. 3, 2020 — The USU section of the Society of Women Engineers hosted a brand new event, Extravaganza Jr!, on January 25, 2020 from 8 a.m. – 12p.m. This event is aimed at elementary school children, grades two through five, who attend school in Cache Valley.

A Monte Carlo Approach To Closing The Reality Gap, Damian Lyons, James Finocchiaro, Michael Novitzky, Christopher Korpela

Faculty Publications

We propose a novel approach to the ’reality gap’ problem, i.e., modifying a robot simulation so that its performance becomes more similar to observed real world phenomena. This problem arises whether the simulation is being used by human designers or in an automated policy development mechanism. We expect that the program/policy is developed using simulation, and subsequently deployed on a real system. We further assume that the program includes a monitor procedure with scalar output to determine when it is achieving its performance objectives. The proposed approach collects simulation and real world observations and builds conditional probability functions. These are …

Zebra: Zebra Finch Expression Brain Atlas—A Resource For Comparative Molecular Neuroanatomy And Brain Evolution Studies, Peter V. Lovell, Morgan Wirthlin, Taylor Kaser, Alexa A. Buckner, Julia B. Carleton, Brian R. Snider, Anne K. Mchugh, Alexander Tolpygo, Partha P. Mitra, Claudio V. Mello

Faculty Publications - Department of Electrical Engineering and Computer Science

An in-depth understanding of the genetics and evolution of brain function and behavior requires a detailed mapping of gene expression in functional brain circuits across major vertebrate clades. Here we present the Zebra finch Expression Brain Atlas (ZEBrA; www.zebrafinchatlas.org, RRID: SCR_012988), a web-based resource that maps the expression of genes linked to a broad range of functions onto the brain of zebra finches. ZEBrA is a first of its kind gene expression brain atlas for a bird species and a first for any sauropsid. ZEBrA's >3,200 high-resolution digital images of in situ hybridized sections for ~650 genes (as of June …

Mission-Oriented Multirobot Adaptive Navigation Of Scalar Fields, Robert Mcdonald

Engineering Ph.D. Theses

Scalar fields are spatial regions where each point has an associated physical value. These fields often contain features of interest, such as local extrema and contours with a value of significance. Traditional navigation techniques require robots to exhaustively search these regions to find the areas of significance, while adaptive navigation allows them to move directly to the points of interest based on measurements of the field taken during the navigation process. This work expands existing adaptive navigation techniques by adding a finite state machine layer to the control architecture, and using it as a discrete mode controller; the state machine …

Illuminator, Volume 3, Issue 6, Batten College Of Engineering & Technology, Old Dominion University

College of Engineering & Technology Newsletter

February 2020 issue of Illuminator, a monthly publication of ODU's Batten College of Engineering and Technology.

Channel Scanning And Access Point Selection Mechanisms For 802.11 Handoff: A Survey, Dhananjay Singh

Computer Science and Engineering Master's Theses

While the cellular technology has been evolving continuously in recent years and client handoffs remain unnoticed, the 802.11 networks still impose an enormous latency issue once the client device decides to roam between the Access Point (AP). This latency is caused by many factors reckoning on scanning the channels and searching for APs with better signal strength. Once data from all the nearby APs has been collected, the client picks the most suitable AP and tries to connect with it. The AP verifies if it has enough capability to serve the client. It also ensures that the client has the …

Target Flow-Pressure Operating Range For Designing A Failing Fontan Cavopulmonary Support Device, Masoud Farahmand, Minoo N. Kavarana, Phillip M. Trusty, Ethan Kung

Publications

Fontan operation as the current standard of care for the palliation of single ventricle defects results in significant late complications. Using a mechanical circulatory device for the right circulation to serve the function of the missing subpulmonary ventricle could potentially stabilize the failing Fontan circulation. This study aims to elucidate the hydraulic operating regions that should be targeted for designing cavopulmonary blood pumps. By integrating numerical analysis and available clinical information, the interaction of the cavopulmonary support via the IVC and full assist configurations with a wide range of simulated adult failing scenarios was investigated; with IVC and full assist …

A Lightweight Magnetorheological Actuator Using Hybrid Magnetization, Masoud Moghani, Mehrdad Kermani Ph.D., P.Eng.

Electrical and Computer Engineering Publications

Copyright © 2020, IEEE

This paper presents the design and validation of a lightweight Magneto-Rheological (MR) clutch, called Hybrid Magneto-Rheological (HMR) clutch. The clutch utilizes a hybrid magnetization using an electromagnetic coil and a permanent magnet. The electromagnetic coil can adjust the magnetic field
generated by the permanent magnet to a desired value, and fully control the transmitted torque. To achieve the maximum torque to mass ratio, the design of HMR clutch is formulated as a multiobjective optimization problem with three design objectives, namely the transmitted torque, the mass of the clutch, and the
magnetic field strength within the clutch …

A Universal Model Of Unsaturated Hydraulic Conductivity With Complementary Adsorptive And Diffusive Process Components, Arash Modaresi Rad, Bijan Ghahraman, Abolfazl Mosaedi, Mojtaba Sadegh

Civil Engineering Faculty Publications and Presentations

Accurate estimation of unsaturated hydraulic conductivity (HC) is one of the most challenging problems in soil science. Here, we propose a novel approach to model HC using percolation theory. Transient behavior of water transport phenomena at low moisture contents requires additional physical process representation, beside capillary conductivity, to ensure accurate prediction of unsaturated HC. We augment the capillary model from percolation theory with two additional components, namely, (1) film flow, which is the product of volumetric flow rate per perimeter by specific perimeter of solid particles, and (2) isothermal vapor HC, derived from the Fick's law of vapor diffusion and …

A New Materials And Design Approach For Roads, Bridges, Pavement, And Concrete, Alan Fuchs, Tathagata Acharya, Luis Cabrales, Jesse Bergkamp, Nyakundi Michieka

Mineta Transportation Institute

Increased understanding of demand for transport energy and how to improve road pavement materials would enable decision makers to make environmental, financial, and other positive changes in future planning and design of roads, bridges, and other important transportation structures. This research comprises three studies focused on pavement materials and a fourth study that examines energy demand within the road transportation sector. These studies are as follows:

1. A techno-economic study of ground tire rubber as an asphalt modifier;

2. A computational fluid dynamics analysis comparing the urban heat island effect of two different pavement materials – asphalt and Portland Cement …

Reducing Nox Emissions Of Cargo Handling Equipment (Che) With Humid Air Systems, Hamid Rahai, Jeremy Bonifacio

Mineta Transportation Institute

The authors designed and tested a humid air system (HAS) for reducing NOx emissions of an LPG-powered forklift. The HAS uses distilled water and heat from the exhaust to generate steam that is injected into the intake air of the engine to increase humidity and thus achieve NOx reduction. Field tests with HAS have shown 2.2 ppm of NOx reduction with each percent increase in humidity of the intake air. A provisional patent based on the developed system has been filed.

Wart Treatment Decision Support Using Support Vector Machine, Md. Mamunur Rahman, Yuan Zhou, Shouyi Wang, Jamie Rogers

Industrial, Manufacturing, and Systems Engineering Student Research - Archive

Warts are noncancerous benign tumors caused by the Human Papilloma Virus (HPV). The success rates of cryotherapy and immunotherapy, two common treatment methods for cutaneous warts, are 44% and 72%, respectively. The treatment methods, therefore, fail to cure a significant percentage of the patients. This study aims to develop a reliable machine learning model to accurately predict the success of immunotherapy and cryotherapy for individual patients based on their demographic and clinical characteristics. We employed support vector machine (SVM) classifier utilizing a dataset of 180 patients who were suffering from various types of warts and received treatment either by immunotherapy …

Tiny Disco: A Cost-Effective, High-Fidelity Wireless Audio System, Luke Martin Liberatore

Computer Engineering

The Tiny Disco is a WiFi based concert system, featuring improvements on popular “Silent Disco” concerts. Rather than being tied to compression and bandwidth restrictions present in traditional silent disco systems, the Tiny Disco system can deliver 320kbps+ audio quality, and allows listeners to bring their own headphones, further lending to the high quality audio experience.

Tiny Disco uses a Raspberry Pi as the audio server, and Espressif ESP32 microcontrollers as audio receivers/clients. The Tiny Disco is primarily geared toward smaller concerts and niche events where audio quality is valued, though due to its WiFi-based architecture, it can be expanded …

Preparation, Characterization And Biological Activity Of Novel Schiff Base Complexes Based On La, Er And Yb Metal Ions, Hoda Ahmed, Walaa H. Mahmoud, Islam M. Al-Akraa Dr, Gehad G. Mohamed

Chemical Engineering

The tridentate [HL, (4-[(2-(2-quinolinoimino)-3, 5-dibromobenzyl) amino] cyclohexanol)]Schiff base ligand was prepared from the condensation reaction of 2-quinoline carbaldehyde with the drug ambroxol. The prepared HL ligand was further used in the preparation of some new complexes via the reaction with La(III), Er(III) and Yb(III) metal ions. The geometry of the prepared complexes was proposed from elemental analysis, FT-IR, 1H NMR, thermal and magnetic susceptibility. 1H NMR showed that the three nitrogen atoms of the ligand were responsible for the complex formation. The thermal analysis technique provided a clear prospect about the decomposition steps of the Schiff base ligand and its …

Iron-Electrocoagulation As A Disinfection Byproduct Control Strategy For Drinking Water Treatment, Donald R. Ryan, Patrick J. Mcnamara, Brooke K. Mayer

Civil and Environmental Engineering Faculty Research and Publications

Disinfection byproducts (DBPs) result from reactions between oxidizing disinfectants, e.g., free chlorine, and DBP precursors such as natural organic matter (NOM). Electrocoagulation (EC) has potential as an effective DBP precursor removal strategy for decentralized water treatment and small drinking water utilities as it features similar removal trends compared to conventional coagulation, without alkalinity consumption, while also generating coagulant in situ by anodic dissolution of iron electrodes. However, studies assessing DBP formation in drinking water following EC treatment are lacking. This research evaluated EC as a DBP precursor removal strategy by quantifying reductions in total trihalomethane (TTHM) formation potential as …

Benzalkonium Chloride Alters Phenotypic And Genotypic Antibiotic Resistance Profiles In A Source Water Used For Drinking Water Treatment, Katherine R. Harrison, Anthony D. Kappell, Patrick J. Mcnamara

Civil and Environmental Engineering Faculty Research and Publications

Antibiotic resistance is a major public health concern. Triclosan is an antimicrobial compound with direct links to antibiotic resistance that was widely used in soaps in the U.S. until its ban by the U.S. Food and Drug Administration. Benzalkonium chloride (BAC), a quaternary ammonium compound, has widely replaced triclosan in soaps marketed as an antibacterial. BAC has been detected in surface waters and its presence will likely increase following increased use in soap products. The objective of this study was to determine the effect of BAC on relative abundance of antibiotic resistance in a bacterial community from a surface water …

Improving Construction Work Zone Safety Using Technology: A Systematic Review Of Applicable Technologies, Chukwuma Nnaji, John Gambatese, Hyun Woo Lee, Fan Zhang

Faculty Publications

© 2019 The Authors Once considered conventional, the construction industry is gradually increasing its reliance on innovations such as the application of technologies in safety management. Given the growing literature on technology applications in safety management and the varying opinions on the utility of applied technologies, a systematic review that streamlines findings from past studies is indispensable to construction stakeholders. Although a number of review studies are available in the building construction sector, the level of fragmentation and uniqueness within the construction industry necessitates a review study specifically targeting the heavy civil sector. In response, the present study applies a …

A Quasi-Monte Carlo Solver For Thermal Radiation In Participating Media, Joseph Farmer, Somesh Roy

Mechanical Engineering Faculty Research and Publications

The Monte Carlo (MC) method is the most accurate method for resolving radiative heat transfer in participating media. However, it is also computationally prohibitive in large-scale simulations. To alleviate this, this study proposes a quasi-Monte Carlo (QMC) method for thermal radiation in participating media with a focus on combustion-related problems. The QMC method employs low-discrepancy sequences (LDS) in place of the traditional random numbers. Three different low-discrepancy sequences – Sobol, Halton, and Niederreiter – were examined as part of this work. The developed QMC method was first validated against analytical solutions of radiative heat transfer in several one-dimensional configurations. Then …