Index Catalog // ScholarsArchive@OSU

Modeling, Fabrication, and Characterization of Magnetic Thin Films for Integrated Inductor and MRAM Applications

Creator:: Buford, Benjamin
Abstract:: Magnetic thin films have potential to improve devices such as on-chip inductors, and enable new technologies such as magnetic random access memory (MRAM). The use of magnetic cores in on-chip inductors is typically limited to applications well under 1 GHz. At higher frequencies, the performance of the magnetic core is...
Resource Type:: Dissertation
Full Text:: served on my committee: Dr. Raviv Raich, Dr. An- dreas Weisshaar, Dr. Yun-Shik Lee, Dr. Christine Kelly

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

Learning greedy policies for the easy-first framework

Creator:: Xie, Jun
Abstract:: Easy-first, a search-based structured prediction approach, has been applied to many NLP tasks including dependency parsing and coreference resolution. This approach employs a learned greedy policy (action scoring function) to make easy decisions first, which constrains the remaining decisions and makes them easier. This thesis studies the problem of learning...
Resource Type:: Masters Thesis
Full Text:: system. Lee et al. [24] and Stoyanov and Eisner [39] subsequently applied the same idea to corefer

Towards Narrative Understanding with Deep Neural Networks and Hidden Markov Models

Creator:: Orr, J. Walker
Abstract:: Narratives are central to communication and the human experience. For a computer system to understand a narrative, it must be able to identify the key facts or plot elements that describe what happened or how the world has changed. These element are called events;establishing a document’s events and the relationships...
Resource Type:: Dissertation

Atomic Layer Processing for Next-Generation Microelectronic Materials

Creator:: Holden, Konner E. K.
Abstract:: Atomic layer deposition (ALD) is an enabling technique for many new micro- and nanoscale technologies. The self-limiting surface chemical reactions by which ALD fundamentally operates give rise to uniquely high precision (atomic) control over deposited film thickness, uniformity over large areas, and conformality over complex and extreme topographies. One such...
Resource Type:: Dissertation

Learning with Limited Labeled Data in Natural Language Processing

Creator:: Obeidat, Rasha
Abstract:: The advent of deep learning models leads to a substantial improvement in a wide range of NLP tasks, achieving state-of-art performances without any hand-crafted features. However, training deep models requires a massive amount of labeled data. Labeling new data as a new task or domain emerges consumes time and efforts...
Resource Type:: Dissertation

Investigation of Energy Barrier Heights within Metal-insulator-metal Devices via Internal Photoemission Spectroscopy

Creator:: Jenkins, Melanie A.
Abstract:: Metal-insulator-metal (MIM) and dual-insulator MIM (MIIM) devices are used in rectennas, hot-electron transistors, single electron transistors, resistive random access memory (RRAM), and capacitors. The performance of these devices relies heavily on the energy barrier height at each metal-insulator interface. Thus, determination of the in-situ electron energy barrier at each interface...
Resource Type:: Dissertation
Full Text:: . Wong, H.-Y. Lee, S. Yu, Y.-S. Chen, Y. Wu, P.-S. Chen, B. Lee, F.T. Chen, and M.-J. Tsai, “Metal

A Blockchains-Enabled Protocol for Distributed IoT Resource Sharing On-Demand

Creator:: Al-kalbani, Mohamed A.
Abstract:: In this thesis, we propose a Blockchain-based distributed protocol for enabling deployment of dynamic, on-demand IoT networks. Specifically, the proposed protocol leverages Blockchain technology to: (i) enable distributed and secure authentication, registration, and management of IoT devices; (ii) provide fast discovery of IoT resources and scalable and secure instantiation of...
Resource Type:: Masters Thesis

Two Sides of a Coin: Adversarial-Based Image Privacy and Defending Against Adversarial Perturbations for Robust CNNs

Creator:: Rajabi, Arezoo
Abstract:: Emergence of highly accurate Convolutional Neural Networks (CNNs) with the capability to process large datasets, has led to their popularity in many applications, including safety/security-sensitive (e.g. disease recognition, self-driving cars). Despite the high accuracy of convolutional neural networks, they have been found to be susceptible to adversarial noise added to...
Resource Type:: Dissertation

Anomaly Detection and Probabilistic Diagnosis for Automated Data Quality Control

Creator:: Zemicheal, Tadesse H.
Abstract:: Advances in sensor technology are greatly expanding the range of quantities that can be measured while simultaneously reducing the cost. However, deployed sensors drift out of calibration and fail, so every sensor network requires quality control procedures to promptly detect these failures. To address these problems, we propose a two-level...
Resource Type:: Dissertation

ScholarsArchive@OSU

Modeling, Fabrication, and Characterization of Magnetic Thin Films for Integrated Inductor and MRAM Applications

Knowledge Base Completion Leveraging Natural Language Data

Learning greedy policies for the easy-first framework

Towards Narrative Understanding with Deep Neural Networks and Hidden Markov Models

Atomic Layer Processing for Next-Generation Microelectronic Materials

Learning with Limited Labeled Data in Natural Language Processing

Investigation of Energy Barrier Heights within Metal-insulator-metal Devices via Internal Photoemission Spectroscopy

A Blockchains-Enabled Protocol for Distributed IoT Resource Sharing On-Demand

Two Sides of a Coin: Adversarial-Based Image Privacy and Defending Against Adversarial Perturbations for Robust CNNs

Anomaly Detection and Probabilistic Diagnosis for Automated Data Quality Control

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