Engineering Commons^™

Statistical Shape Modeling To Quantify Variation In The Proximal Humeral Anatomy, Paul B. Sade Sr.

Electronic Theses and Dissertations

The fit of the humeral prosthesis to the intramedullary canal and the replication of the anatomic humeral head center are important factors in Total Shoulder Arthroplasty (TSA). The objective of this thesis was to develop a Statistical Shape Model (SSM) of the cortical and cancellous bone regions of the proximal humerus, and to assess potential shape differences with gender and ethnicity, with a goal of informing implant design. An SSM was used and Principal Component Analysis (PCA) was applied to data that represented both the cancellous and cortical humeral bone of 63 healthy subjects and cadavers. Anatomical measurements and PC …

Autonomous Driving With A Simulation Trained Convolutional Neural Network, Cameron Franke

University of the Pacific Theses and Dissertations

Autonomous vehicles will help society if they can easily support a broad range of driving environments, conditions, and vehicles.

Achieving this requires reducing the complexity of the algorithmic system, easing the collection of training data, and verifying operation using real-world experiments. Our work addresses these issues by utilizing a reflexive neural network that translates images into steering and throttle commands. This network is trained using simulation data from Grand Theft Auto V~\cite{gtav}, which we augment to reduce the number of simulation hours driven. We then validate our work using a RC car system through numerous tests. Our system successfully drive …

A Validated Software Application To Measure Fiber Organization In Soft Tissue, Erica E. Morrill, Azamat N. Tulepbergenov, Christina J. Stender, Roshani Lamichhane, Raquel J. Brown, Trevor J. Lujan

Mechanical and Biomedical Engineering Faculty Publications and Presentations

The mechanical behavior of soft connective tissue is governed by a dense network of fibrillar proteins in the extracellular matrix. Characterization of this fibrous network requires the accurate extraction of descriptive structural parameters from imaging data, including fiber dispersion and mean fiber orientation. Common methods to quantify fiber parameters include fast Fourier transforms (FFT) and structure tensors, however, information is limited on the accuracy of these methods. In this study, we compared these two methods using test images of fiber networks with varying topology. The FFT method with a band-pass filter was the most accurate, with an error of 0.71 …

Automatic Generation And Grading Of Programming Exercises, Andrew Dufrene

Computer Science and Software Engineering

In our current age of technological advances, and rising education costs, it is becoming increasingly beneficial to use technology to aid in education, usually through automated lectures or grading. One missing feature from this automated education is complex grading and problem generation. The main objective of this project is to create a program that can automatically generate and grade problems of varying difficulties based on the topic of programming for loops. The project solution was created as a program designed for use in Dr. Clinton Staley’s Intelligent Homework System, which is used precisely for automated exercise grading and generation. Ultimately, …

Educational Methods For Inverted-Lecture Computer Science And Engineering Classrooms To Overcome Common Barriers To Stem Student Success, Kathleen Timmerman

Browse all Theses and Dissertations

New educational pedagogies are emerging in an effort to increase the number of new engineers available to enter the workforce in the coming years. One of the re-occurring themes in these pedagogies is variations of the flipped classroom. Often the additional classroom time gained from flipping is used to reinforce learning objectives. It is hypothesized that it might be more beneficial to students if a portion of that time is used to address common non-cognitive barriers that prevent students from succeeding in the major. In a freshman Introductory Computer Science course, three different pedagogies are compared: a hybrid lecture-active learning …

Ultra-Wideband Radar Based Human Motion Analysis, Zhichong Zhou

Electronic Theses and Dissertations

This thesis proposes and investigates two techniques in ultra-wideband (UWB) radar based human motion analysis. The first one is accurate human body landmark detection using UWB radars. The detection is achieved by moving target indication (MTI) and constant false alarm rate detection (CFAR). A new CFAR detection technique is proposed, namely the out-of-band (OB) CFAR detection. In the field experiment, two RF reflective markers are attached to the wrist and elbow of one human arm for reflecting radar signals. It is demonstrated that detection of two markers are feasible and successfully achieved. And our results suggests the OB-CFAR performs better …

Intelligent Voice Activated Home Automation (Iva), Mrunal Dipakkumar Bhatt

ETD Archive

This thesis presents the design of an original Intelligent Home Automation Architecture. My work was divided in two phases. The first portion was dedicated to acquiring a thorough understanding of the most successful and diffused Home-Automation commercial architectures. During this phase, I intended to gain a deep appreciation for the variety of organizations, capabilities, limitations, and potential areas of growth of the existing Home-Automation leading systems. In order to acquire this knowledge, I had to use a reverse engineering approach. The reason for using this methodology arises from the fact that all the products considered in this study are commercially …

A Stochastic Petri Net Based Nlu Scheme For Technical Documents Understanding, Adamantia Psarologou

Browse all Theses and Dissertations

Natural Language Understanding (NLU) is a very old research field, which deals with machine reading comprehension. Despite the many years of work and the numerous accomplishments by several researchers in the field, there is still place for significant improvements. Here, our goal is to develop a novel NLU methodology for detecting and extracting event/action associations in technical documents. In order to achieve this goal we present a synergy of methods (Kernel extraction, Formal Language Modeling, Stochastic Petri-nets (SPN) mapping and Event Representation via SPN graph synthesis). In particular, the basic meaning of a natural language sentence is given by its …

Distributed Rule-Based Ontology Reasoning, Raghava Mutharaju

Browse all Theses and Dissertations

The vision of the Semantic Web is to provide structure and meaning to the data on the Web. Knowledge representation and reasoning play a crucial role in accomplishing this vision. OWL (Web Ontology Language), a W3C standard, is used for representing knowledge. Reasoning over the ontologies is used to derive logical consequences. A fixed set of rules are run on an ontology iteratively until no new logical consequences can be derived. All existing reasoners run on a single machine, possibly using multiple cores. Ontologies (sometimes loosely referred to as knowledge bases) that are automatically constructed can be very large. Single …

Augment Hololens’ Body Recognition And Tracking Capabilities Using Kinect, Krishna Chaithanya Mathi

Browse all Theses and Dissertations

In this thesis, we are primarily interested in exploring the HoloLens technologies for medical practices. Particularly, we will address the limitation of HoloLens’ capability in human body sensing, recognition and tracking. We will then introduce and demonstrate the use of Kinect to augment HoloLens’ sensory and processing capabilities in order to produce time and space-synchronized immersive environment with both virtual body and real body of the same patient for supporting distributed medical collaborations. Specifically, we are looking at a distributed solution in which we are collecting the patient body data from Kinect, followed by body recognition and position/motion tracking processing …

An Immersed Boundary Geometric Preprocessor For Arbitrarily Complex Terrain And Geometry, Inanc Senocak, Micah Sandusky, Rey Deleon, Derek Wade, Kyle Felzien, Marianna Budnikova

Mechanical and Biomedical Engineering Faculty Publications and Presentations

There is a growing interest to apply the immersed boundary method to compute wind fields over arbitrarily complex terrain. The computer implementation of an immersed boundary module into an existing flow solver can be accomplished with minor modifications to the rest of the computer program. However, a versatile preprocessor is needed at the first place to extract the essential geometric information pertinent to the immersion of an arbitrarily complex terrain inside a 3D Cartesian mesh. Errors in the geometric information can negatively impact the correct implementation of the immersed boundary method as part of the solution algorithm. Additionally, the distance …

Discovering Factors Affecting Student Retention In Computer Science At Cal Poly, Diane Eykholt

Liberal Arts and Engineering Studies

No abstract provided.

Design, Programming, And User-Experience, Kaila G. Manca

Honors Scholar Theses

This thesis is a culmination of my individualized major in Human-Computer Interaction. As such, it showcases my knowledge of design, computer engineering, user-experience research, and puts into practice my background in psychology, com- munications, and neuroscience.

I provided full-service design and development for a web application to be used by the Digital Media and Design Department and their students.This process involved several iterations of user-experience research, testing, concepting, branding and strategy, ideation, and design. It lead to two products.

The first product is full-scale development and optimization of the web appli- cation.The web application adheres to best practices. It was …

07. Criminal Justice, Northeastern State University

Oklahoma Research Day Abstracts

No abstract provided.

06. Computer Science, Northeastern State University

Oklahoma Research Day Abstracts

No abstract provided.

03. Biology, Northeastern State University

Oklahoma Research Day Abstracts

No abstract provided.

08. Engineering, Northeastern State University

Oklahoma Research Day Abstracts

No abstract provided.

11. Genetics, Northeastern State University

Oklahoma Research Day Abstracts

No abstract provided.

14. Optometry, Northeastern State University

Oklahoma Research Day Abstracts

No abstract provided.

16. Physics, Northeastern State University

Oklahoma Research Day Abstracts

No abstract provided.

17. Psychology, Northeastern State University

Oklahoma Research Day Abstracts

No abstract provided.

13. Mathematics, Northeastern State University

Oklahoma Research Day Abstracts

No abstract provided.

18. Statistics, Northeastern State University

Oklahoma Research Day Abstracts

No abstract provided.

15. Pharmacy, Northeastern State University

Oklahoma Research Day Abstracts

No abstract provided.

19. Zoology, Northeastern State University

Oklahoma Research Day Abstracts

No abstract provided.

02. Animal Science, Northeastern State University

Oklahoma Research Day Abstracts

No abstract provided.

04. Botany, Northeastern State University

Oklahoma Research Day Abstracts

No abstract provided.

05. Chemistry, Northeastern State University

Oklahoma Research Day Abstracts

No abstract provided.

09. Environmental Science, Northeastern State University

Oklahoma Research Day Abstracts

No abstract provided.

10. Forensic Science, Northeastern State University

Oklahoma Research Day Abstracts

No abstract provided.