Index Catalog // ScholarsArchive@OSU

Computational Approaches for RNA Structure Prediction with Dynamic Programming and Deep Neural Networks

Creator:: Deng, Dezhong
Abstract:: Our goal is to build a system to model the RNA sequences that reveals their structural information by using efficient dynamic programming algorithms and deep learning approaches. We aim to 1) achieve linear-time for RNA secondary structure prediction based on existing minimum free energy models; 2) utilize deep neural networks...
Resource Type:: Dissertation
Full Text:: Abstract approved: David A. Hendrix Our goal is to build a system to model the RNA sequences that reveals

Deep Learning for Human and Biological Languages

Creator:: Hong, Junki
Abstract:: We explore the application of deep learning to the disparate fields of natural language processing and computational biology. Both the sentences uttered by humans as well as the RNA and protein sequences found within the cells of their bodies can be considered formal languages in computer science, as sets of...
Resource Type:: Dissertation
Full Text:: Human and Biological Languages Abstract approved: David Hendrix and Liang Huang We explore the

Calibrating the highway safety manual predictive methods for Oregon rural state highways

Creator:: Xie, Fei
Abstract:: The first edition of the Highway Safety Manual (HSM) provides a quantitative approach to predict the safety of transportation facilities based on the recently developed scientific methods. This approach, known as the predictive method, was developed for several states in the United States. Due to differences in driver population, weather...
Resource Type:: Masters Thesis
Full Text:: the sample size has little effect on the increase of the precision, therefore a sample size of 100

Long Wave Amplification in a Coral-Reef Lagoon

Creator:: Bheeroo, Vivek Anand
Abstract:: A series of laboratory experiments were conducted to study the wave field in the inner lagoon excited by ‘long’ incident waves. Three cases were considered: Cases A, B and C presenting incident waves of wavelength with factors of 1, 2 and 2.5 times the width of the reef respectively. The...
Resource Type:: Masters Thesis
Full Text:: committee members, Dr. David Hill, Dr. Greg Wilson and Dr. Prasad Tadepalli. Thank you for your time

Object highlighting : real-time boundary detection using a Bayesian network

Creator:: Jia, Jin
Abstract:: Image segmentation continues to be a fundamental problem in computer vision and image understanding. In this thesis, we present a Bayesian network that we use for object boundary detection in which the MPE (most probable explanation) before any evidence can produce multiple non-overlapping, non-self-intersecting closed contours and the MPE with...
Resource Type:: Masters Thesis
Full Text:: thank Professor Ron Metoyer, Professor Prasad Tadepalli and Professor David Birkes for being on my

Conceptual Representations within the Social and Material Contexts of an Engineering Workplace and Academic Environments

Creator:: Barner, Matthew S.
Abstract:: Situated cognition theory emphasizes the role that social and material contexts have on learning and knowledge application. Several studies of engineering workplace environments have noted differences between the social and material contexts of the workplace and those of undergraduate engineering education. No existing research has studied the social and material...
Resource Type:: Dissertation
Full Text:: Chapter 2. Allyson Barlow assisted with editing Chapter 3. David Linton assisted with the writing and

Automated decomposition of complex parts for manufacturing with advanced joining processes

Creator:: Massoni, Brandon R.
Abstract:: Recent advancements in joining operations and additive manufacturing now allow complex metal parts to be built up from raw materials, as opposed to being machined down from solid blocks. This not only opens up the design space, but also allows for much more efficient manufacturing. By decomposing a complex part...
Resource Type:: Dissertation
Full Text:: Prof. Karl Haapala, Prof. David Kim, Rothanak Chan, Harsha Malshe, Steven Lindberg, Ryan Allen, and

Microstructure of radiation damage in the uranium film and its backing materials irradiated with 136 MeV 136Xe+26, Microstructure of radiation damage in the uranium film and its backing materials irradiated with 136 MeV ¹³⁶Xe⁺²⁶

Creator:: Sadi, Supriyadi
Abstract:: Microstructure changes in uranium and uranium/metal alloys due to radiation damage are of great interest in nuclear science and engineering. Titanium has attracted attention because of its similarity to Zr. It has been proposed for use in the second generation of fusion reactors due to its resistance to radiation-induced swelling....
Resource Type:: Dissertation
Full Text:: facilities during this thesis project. I would like to thank Dr. Andrew C. Klein and Dr. David M. Hamby for

An Information Modeling Framework for Support of Sustainable Manufacturing System Design Decision Making

Creator:: Shankar Raman, Arvind
Abstract:: Manufacturing technology has continuously evolved and advanced over the past century; this has led to an increase in the production of consumer and industrial goods driven by simultaneous growth in population and wealth. Despite the resulting economic and labor growth, environmental impacts of manufacturing have increased dramatically due to the...
Resource Type:: Dissertation
Full Text:: Hoyle, Dr. David Porter, Dr. Prasad Tadepalli, who provided useful insights and recommendations during

Knowledge Base Completion Leveraging Natural Language Data

Creator:: Shahbazi, Hamed
Abstract:: Information about named entities (real-world objects) is usually harvested from different sources and organized as a multiple relational directed graph in Knowledge Bases (KBs). KBs play essential roles in many NLP modules including question answering, fact-checking, search engines, etc. KBs are big but still incomplete: relational information among entities is...
Resource Type:: Dissertation
Full Text:: focused on improving extraction accuracy but little about the transparency and explainability of these

ScholarsArchive@OSU

Computational Approaches for RNA Structure Prediction with Dynamic Programming and Deep Neural Networks

Deep Learning for Human and Biological Languages

Calibrating the highway safety manual predictive methods for Oregon rural state highways

Long Wave Amplification in a Coral-Reef Lagoon

Object highlighting : real-time boundary detection using a Bayesian network

Conceptual Representations within the Social and Material Contexts of an Engineering Workplace and Academic Environments

Automated decomposition of complex parts for manufacturing with advanced joining processes

Microstructure of radiation damage in the uranium film and its backing materials irradiated with 136 MeV 136Xe+26, Microstructure of radiation damage in the uranium film and its backing materials irradiated with 136 MeV ¹³⁶Xe⁺²⁶

An Information Modeling Framework for Support of Sustainable Manufacturing System Design Decision Making

Knowledge Base Completion Leveraging Natural Language Data

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