Index Catalog // ScholarsArchive@OSU

Visualization and design systems for road infrastructure

Creator:: Esch, Gregory
Abstract:: Transportation infrastructure provides a vital service for the functionality of a city. The efficient design of road networks poses an interesting topic in computer science for digital content developers. For civil engineers, the visualization of analysis results on infrastructure both efficiently and intuitively is crucial. The following contributions are made...
Resource Type:: Masters Thesis
Full Text:: AN ABSTRACT OF THE THESIS OF Gregory Esch for the degree of Master

Computational Elucidation of the Regulatory SNPs in the Non-Coding Regions of the Human Genome

Creator:: Yao, Yao
Abstract:: We describe a series of novel computational models, CERENKOV (Computational Elucidation of the REgulatory NonKOding Variome) and its successors CERENKOV2, CERENKOV3, and Convolutional CERENKOV3, for discriminating regulatory single nucleotide polymorphisms (rSNPs) from non-regulatory SNPs within non-coding genetic loci. The CERENKOV models are designed for recognizing rSNPs in the context of...
Resource Type:: Dissertation

Pixel- and Frame-level Video Labeling using Spatial and Temporal Convolutional Networks

Creator:: Lei, Peng
Abstract:: This dissertation addresses the problem of video labeling at both the frame and pixel levels using deep learning. For pixel-level video labeling, we have studied two problems: i) Spatiotemporal video segmentation and ii) Boundary detection and boundary flow estimation. For the problem of spatiotemporal video segmentation, we have developed recurrent...
Resource Type:: Dissertation

Improving the accuracy and efficiency of bird song analysis with machine learning based event detection

Creator:: Mathew, Anju
Abstract:: Ornithology is an exciting field with novel research emerging everyday. Researchers in bioacoustics often spend hours within the wilderness recording bird calls to analyze later in their lab. The burden of sifting through hours of audio recordings from the field continues to remain a time-consuming and manual task, despite the...
Resource Type:: Honors College Thesis

Executable semantics for PLEXIL : simulating a task-scheduling language in Haskell

Creator:: Strauss, Paul J.
Abstract:: An interdisciplinary study into the theory of design decisions has yielded a model for tracking design changes in hardware/software systems, but it still needs to be applied to a larger system to test its efficiency at tracking important data. This thesis creates an implementation of PLEXIL, a language in development...
Resource Type:: Masters Thesis

Efficient Public Key Cryptography Frameworks for Emerging IoT Applications

Creator:: Ozmen, Muslum Ozgur
Abstract:: Internet of Things (IoT) is an integral part of application domains such as smart-home, digital healthcare, smart grid systems and vehicular networks. Various standard public key cryptography techniques (e.g., key exchange, public key encryption, digital signature) are available to provide fundamental security services for IoTs. However, despite their pervasiveness and...
Resource Type:: Masters Thesis

Exploration of regression models for cancer noncoding mutation recurrence

Creator:: Xu, Tanjin
Abstract:: An important impact of the genome technology revolution will be the elucidation of mechanisms of cancer pathogenesis, leading to improvements in the diagnosis of cancer and the selection of cancer treatment. Integrated with current well-studied massive knowledge and findings about the role of protein-coding mutations in cancer, demystifying the functional...
Resource Type:: Masters Thesis

Toward Disentangling the Activations of the Deep Networks via Low-dimensional Embedding and Non-negative Factorization

Creator:: Khorram, Saeed
Abstract:: In this thesis, we introduce a novel Explanation Neural Network (XNN) to explain the predictions made by a deep network. The XNN works by embedding a high-dimensional activation vector of a deep network layer non-linearly into a low-dimensional explanation space while retaining faithfulness i.e., the original deep learning predictions can...
Resource Type:: Masters Thesis

Enabling Virtual Globes for A Visual-Auditory User Experience of Spatial Data

Creator:: Gune, Aditya N.
Abstract:: Geographical datasets are large, complex, and can be difficult for users to navigate and derive meaning from. These datasets, as well as the unique insights derived from them, provide tremendous opportunity for social change -- many of the global challenges humankind is currently facing can benefit from analytics or visualization...
Resource Type:: Masters Thesis

Interactive player tracking for videos in American football

Creator:: Bawaskar, Amit
Abstract:: This thesis presents an interactive software tool for tracking a moving object in a video. In particular, we focus on the problem of tracking a player in American football videos. Object tracking is one of the fundamental problems in computer vision. It is one of the most important components in...
Resource Type:: Masters Thesis

ScholarsArchive@OSU

Visualization and design systems for road infrastructure

Computational Elucidation of the Regulatory SNPs in the Non-Coding Regions of the Human Genome

Pixel- and Frame-level Video Labeling using Spatial and Temporal Convolutional Networks

Improving the accuracy and efficiency of bird song analysis with machine learning based event detection

Executable semantics for PLEXIL : simulating a task-scheduling language in Haskell

Efficient Public Key Cryptography Frameworks for Emerging IoT Applications

Exploration of regression models for cancer noncoding mutation recurrence

Toward Disentangling the Activations of the Deep Networks via Low-dimensional Embedding and Non-negative Factorization

Enabling Virtual Globes for A Visual-Auditory User Experience of Spatial Data

Interactive player tracking for videos in American football

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