Engineering Commons^™

Understanding Chassis Inputs From The Rear Suspension Of A Snowmobile, Jamie L. Kleinendorst

Dissertations, Master's Theses and Master's Reports - Open

Today’s snowmobile industry faces great challenges in the field of noise & vibration. The area of main concern is the pass-by noise restriction defined by the Society of Automotive Engineers (SAE) test standard J192, with a maximum sound pressure level of 78 dB(A) being required by many states and national parks. To continue meet or beat this requirement without effecting machine performance, a deeper understanding of the sound transfer paths is required. This thesis examines the transfer paths created by the tunnel, rear suspension, drive shaft, and rubber composite track, with the primary source being suspension input through the ground. …

A Proposed Return Algorithm For Elastoplastic Constitutive Relations, David A. Cooper, David L. Littlefield

Early Career Technical Journal (ECTJ)

Section 5: Numerical Methods; pp. 121-125

Gravitational Stabilization Methods For Hydrocodes, Gerald Pekmezi, David Littlefield, Stephen Akers, Kent Danielson

Early Career Technical Journal (ECTJ)

Section 5: Numerical Methods; pp. 150-157

Thermal Analysis, Microstructural Characterization And Nanoindentation For Electron Beam Additive Manufacturing, Bo Chang, Xibing Gong, Xiaoqing Wang, Kevin Chou

Early Career Technical Journal (ECTJ)

Section 7: Design & Manufacturing; pp. 196-203

Bs News January/February

Building Services Engineering

No abstract provided.

Improving Motion Imagery Analysis: Investigating Detection Failures, Remembering To Perform Deferred Intentions, Michael R. Nickels

Browse all Theses and Dissertations

Advances in automation have led to an increased prevalence of human multitasking in intelligence, surveillance, and reconnaissance operations. Despite advancements in computer-vision research, almost all video data collected must be processed by human analysts. Traditionally, analysts are plagued with the presence and possible overabundance of interruptions that fundamentally leads to multitasking while processing video data. It is currently unknown what factors influence decision making in completing primary tasks or handling interruptions. In this study, we investigated the performance effects and the resulting design implications of varying the number of concurrent prospective memory tasks and encoding of one large group of …

Hysteretic Controlled Dc-Dc Converters, Shweta Chauhan

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Switched-mode DC-DC converters are widely used in applications requiring step-up and step-down of DC voltages or currents. These converters find their use in portable applications such as laptops and smart phones, radio-frequency power amplifiers, as light emitting diode (LED) drivers, etc. The power converters consist of a switching network, energy storage elements such as inductors and capacitors, and a load resistor. Transformers are used in converters, which require isolation. The switching network comprises of MOSFETs and diodes. With improvement in the VLSI technology, smaller MOSFETs with increased power handling capability are pushing the speed of operation of these power converters …

A Theoretical Adaptive Autonomy Model: Real-Time Physiological Assessment Of Cognitive Workload, Dakota C. Evans

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Increases in modern-day system complexity, has led for a need to improve human performance and the interaction between the two. Three objectives: (1) to investigate physiological measures as indicators of cognitive workload, (2) to assess cognitive workload during human interaction with different autonomy levels, and (3) to develop a theoretical model for an adaptive autonomous system that changes with real-time cognitive workload measures were addressed. This effort seeks to improve human computer interaction by providing the human with the acceptable level of computer automation based on real-time cognitive state. Two experiments involved collection of measures of subject physiology, subjective survey …

Integrating Technology And Engineering In A Stem Context, Barry N. Burke, Philip A. Reed, John G. Wells, Robert E. Yager (Ed.), Herbert Brunkhorst (Ed.)

STEMPS Faculty Publications

(First paragraph) Imagine students entering the classroom with an enthusiasm that cannot be contained. They come from all walks of life and with different experiences and backgrounds and are eager to engage in learning. Inspiration and innovation are on their mind. What they learned in their science and math classes is now being applied in another class they take called Technology and Engineering. Opportunity is what they see for their future. Something about connecting all the dots from all their classes propels them to change their outlook, to get involved, to get excited about school and to envision their future.

Teaching Laboratory Courses Using Distance Learning Technologies, Steve C. Hsiung, John Ritz

Engineering Technology Faculty Publications

Conducting laboratory activities is essential for teaching and learning in engineering and technology subjects. This article discusses explorations made by a research team to find solutions to enable the distance-learning delivery of laboratory courses on embedded microcontroller technology topics. In addition, this article includes a review of videoconferencing and course management tools, uniquely designed laboratory equipment and supporting curriculum materials, and statistical evidence showing students can learn technical laboratory content in distance-learning environments.

Cracking The Code On Stem: A People Strategy For Nevada's Economy, Jessica A. Lee, Mark Muro, Jonathan Rothwell, Scott Andes, Siddharth Kulkarni

Brookings Mountain West Publications

Nevada has in place a plausible economic diversification strategy—and it’s beginning to work. Now, the state and its regions need to craft a people strategy. Specifically, the state needs to boost the number of Nevadans who possess at least some postsecondary training in the fields of science, technology, engineering, or math—the so-called “STEM” disciplines (to which some leaders add arts and design to make it “STEAM”).

The moment is urgent—and only heightened by the projected worker needs of Tesla Motors’ planned “gigafactory” for lithium-ion batteries in Storey County.

Even before the recent Tesla commitment, a number of the more high-tech …

Chemosensitive Neurons Of The Locus Coeruleus And The Nucleus Tractus Solitarius: Three Dimensional Morphology And Association With The Vasculature, Cathy D. Graham

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We studied the 3 dimensional structure of LC and cNTS neurons from neonatal rats. Neurons were identified as either chemosensitive or nonchemosensitive based on their firing rate response to hypercapnia, using whole-cell patch clamping and were passively loaded with Lucifer Yellow. The identified, loaded neurons were reconstructed and analyzed using Neurolucida Neuron Tracing Software. Chemosensitive LC neurons have less rounded soma than nonchemosensitive neurons, and they have dendrites arising from two poles to produce a fusiform appearance. The dendritic branches extend a greater distance from the soma of chemosensitive than nonchemosensitive neurons. Conversely, chemosensitive cNTS neurons were found to have …

Guanine Nucleotide Exchange Activity Of Phospholipase D2 And Its Regulation, Madhupriya Mahankali

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Phospholipase D2 (PLD2) is a cell membrane lipase that catalyzes the break down of phosphatidyl choline (PC) to phosphatidic acid (PA) and choline. PA is one of the major lipid second messengers that modulate a wide variety of signaling pathways, which are crucial for various cellular functions. In addition to this, PLD2 via binding to a large number of proteins and thereby regulates them independent of its lipase activity. Whereas PLD2 is involved in plethora of cellular functions, high levels of protein and/or activity of PLD2 are reported in variety of disease conditions, such as cancer metastasis and chronic inflammation …

A Probabilistic Technique For Open Set Recognition Using Support Vector Machines, Matthew Scherreik

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Classification algorithms trained using finite sets of target and confuser data are limited by the training set. These algorithms are trained under closed set assumptions and do not account for the infinite universe of confusers found in practice. In contrast, classification algorithms developed under open set assumptions label inputs not present in the training data as unknown instead of assigning the most likely class. We present an approach to open set recognition, the probabilistic open set SVM, that utilizes class posterior estimates to determine probability thresholds for classification. This is accomplished by first training an SVM in a 1-vs-all configuration …

Hierarchical Modulation Detection Of Underwater Acoustic Communication Signals Through Maximum Likelihood Combining, Josh Sanderson

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Modulation detection is important to many communication applications. Much research has been done in this area for radio frequency (RF) signals, but until recently little has carried over to the underwater communication world. Traditional methods include the use of fourth order cumulants or second order cyclostationary features to determine the modulation scheme being used. Many of these methods fail due to the complex and varying nature of the underwater channel. This thesis proposes a new form of hierarchy modulation detection for underwater acoustic communication signals using maximum likelihood combining. The proposed method for hierarchical modulation detection for this research is …

Mining And Understanding Regret Tweets, Lu Zhou

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Inappropriate tweets may cause severe damages on the authors' reputation or privacy. However, many users do not realize until publishing them after a while. Once published, such tweets have lasting effects that may not be completely eliminated by simple deletion, because other users may have read them or third-party tweet analysis platforms have cached them. In this paper, we study the problem of identifying regret tweets for normal individual users, with the ultimate goal to reduce the occurrences of regret tweets. We develop a machine learning approach to extract a large collection of regret tweets from noisy deleted tweets. We …

Java Implementation Of Grounded Circumscription For Owl, Ali Akhavan Karbasi

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The semantic web is a new development in the World Wide Web (WWW) supporting machine-readable and machine-understandable data in order to add the "understanding" aspect to current capabilities. This technology involves the use of semantic reasoners, which are software that can infer logical consequences from a set of facts or axioms. Inference can be done in different ways, e.g. based on what is called the open world assumption in which what is not known to be true is simply unknown, and its closed world assumption opposite, which considers what is not known to be true as false. Each of these …

Amyna: A Security Generator And Performance Estimator Framework Against Memory-Based Attacks, Anna Trikalinou

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As we become more and more dependent on computer networks, using them for everything from banking and investing to shopping and communicating, computer security has emerged to be an increasingly important concern, due to undesirable cyber-security attacks. Thus, in response to this issue many efforts have been made towards accurate and robust computer security protection; however, the general problem is very challenging, diverse and ever-changing and remains still open. In this PhD dissertation we offer protection on one of these cyber-security attacks, the memory-based attacks, caused by one of the most critical software errors according to the MITRE ranking. When …

A Context-Driven Subgraph Model For Literature-Based Discovery, Delroy Huborn Cameron

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Literature-Based Discovery (LBD) refers to the process of uncovering hidden connections that are implicit in scientific literature. Numerous hypotheses have been generated from scientific literature using the LBD paradigm, which influenced innovations in diagnosis, treatment, preventions and overall public health. However, much of the existing research on discovering hidden connections among concepts have used distributional statistics and graph-theoretic measures to capture implicit associations. Such metrics do not explicitly capture the semantics of hidden connections. Rather, they only allude to the existence of meaningful underlying associations. To gain in-depth insights into the meaning of hidden (and other) connections, complementary methods have …

3-D Scene Reconstruction From Line Correspondences Between Multiple Views, Michael Linger

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Three-dimensional scene reconstruction from 2-D images has many applications, such as surveillance, mission planning, autonomous navigation systems, cartography, and target recognition. Of specific interest to this research is the reconstruction of urban scenes containing man-made structures, such as roads and buildings, to support the burgeoning surveillance industry. Using 3-D maps to augment existing mission planning cartography products (DTED/SRTM, CADRG, CIB), mission and event planners will be able to compute strategic line-of-sight coverage for threat avoidance or threat prosecution. Forensic video analysts can use these models to recreate crime scenes, while law enforcement can build flight plans to minimize occlusions from …

Computational Investigation Of Rotary Engine Homogeneous Charge Compression Ignition Feasibility, Michael Irvin Resor

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The Air Force Research Laboratory (AFRL) has been investigating the heavy fuel conversion of small scale Unmanned Aerial Vehicles (UAV). One particular platform is the Army Shadow 200, powered by a UEL Wankel rotary engine. The rotary engine historically is a proven multi-fuel capable engine when operating on spark ignition however, little research into advanced more efficient compression concepts have been investigated. A computational fluid dynamics model has been created to investigate the feasibility of a Homogeneous Charge Compression Ignition (HCCI) rotary engine. This research evaluates the effects, rotor radius to crankshaft eccentricity ratio, known as K factor, equivalence ratio, …

The Influence Of Mesa Activities On Underrepresented Students Nsf Dr K-12 Proposal 1020019, C. Hailey, Chandra Austin Stallworth, Cameron Denson, Daniel L. Householder

Mechanical and Aerospace Engineering Faculty Publications

Mathematics, Engineering, Science Achievement (MESA) outreach programs are partnerships between K-12 schools and higher education in nine states. MESA efforts introduce integrated experiences in science, mathematics and engineering to K-12 students from groups that are traditionally underrepresented in the STEM disciplines. This exploratory study examined the influence of selected MESA activities on students' self-efficacy, their perceptions of engineering, and their interest in engineering and other STEM fields. Field trips, guest lecturers, design competitions, hands-on activities and student career and academic advisement were of specific interest in this survey. The project also investigated the relationship between student engagement in MESA and …

2013 Fall Engr333 Project Final Report, 2013 Fall Engr333

ENGR 333

During the fall of 2013, the Engineering 333 class was asked the question, “what would it take for Calvin College to operate a biofuel vehicle from campus resources?” The three primary considerations included:

• Determining the optimal biofuel feedstock in terms of availability, transportation, and processing.
• Selecting a biofuel vehicle for conversion or purchase to operate on the selected feedstock.
• Designing the infrastructure and process required for operating the selected biofuel vehicle. The design and research described below proposes an environmentally sustainable and cost-effective method for integrating a biofuel vehicle into Calvin’s existing infrastructure.

2013 Fall Engr333 Student Seminar Presentation, Claire Philippi, Karl Bratt, Mike Houtman, Brandon Koster

ENGR 333

File for student presentation, given by students in the Fall 2013 class of ENGR333.

2013 Fall Engr333 Vehicle Poster, 2013 Fall Engr333

ENGR 333

Waste vegetable oil (WVO) was chosen by the class as the best fuel source for the Calvin Biofuel Vehicle Project. The class then considered vehicle options and selected a lawnmower to be powered by WVO.

2013 Fall Engr333 Fuel And Facilities Poster, 2013 Fall Engr333

ENGR 333

The objective of the project was to answer the question: “What would it take for Calvin College to operate a biofuel vehicle from campus resources.” The class split into 3 teams:

• Fuel/Feedstock
• Facilities/Infrastructure
• Vehicle

Synergy Of The Developed 6d Bim Framework And Conception Of The Nd Bim Framework And Nd Bim Process Ontology, Shawn Edward O'Keeffe

Dissertations

The author developed a unified nD framework and process ontology for Building Information Modeling (BIM). The research includes a framework developed for 6D BIM, nD BIM, and nD ontology that defines the domain and sub-domain constructs for future nD BIM dimensions. The nD ontology defines the relationships of kinds within any new proposed dimensional domain for BIM. The developed nD BIM framework and ontology takes into account the current 2D-5D BIM dimensions. There is a synergy between the 6D and nD framework that allows the nD framework and ontology to be utilized as a unified template for future dimensional development. …

Automated Foosball Table Year 1: Final Project Report, Juan David Gutierrez-Franco, John Inlow, Jesse Graham, Larry Huang

Mechanical Engineering

This project is a first iteration of an automated foosball table designed and created using servomotors provided by Yaskawa to create an interactive tradeshow display where guests can play against the algorithms developed in the PLC (programmable logic controller) controlling the servomotors. There will be a second iteration of the project done by a different team directly following this one. The motion components were selected with the intent to be able to surpass the reaction times and speeds of expert human players. There are a total of eight servomotors, four controlling linear actuators for translation of rods, and four controlling …

Bs News November/December

Building Services Engineering

No abstract provided.

An Approximation Method For Solving Complex Electromagnetics Problems Using The Volume Integral Equation, Ryan Nobis, Dan Jiao, Saad Omar

The Summer Undergraduate Research Fellowship (SURF) Symposium

Solving complex electric field problems can lead researchers to a host of electronic characteristics about an inhomogeneous, complex object. However due to the complexity of these electric fields, a computer needs to be used in order to solve them. Due to the size of the matrices for some problems, methods for improving speed and performance for these algorithms are absolutely necessary. A Volume Integral Equation was used to solve the Electric Field Displacement, D, and approximate the differential term in this equation. The problem was next discretized using phasors, so that it can computationally be solved. Data used to form …