Index Catalog // ScholarsArchive@OSU

An inner product on adelic measures

Creator:: Oberly, Peter J.
Abstract:: We define an inner product on a vector space of adelic measures over a number field $K$. We find that the norm induced by this inner product governs weak convergence at each place of $K$. The canonical adelic measure associated to a rational map is in this vector space, and...
Resource Type:: Dissertation

Convergence Analysis Framework for Fixed-Point Algorithms in Machine Learning and Signal Processing

Creator:: Vu, Trung
Abstract:: Iterative algorithms are simple yet efficient in solving large-scale optimization problems in practice. With a surge in the amount of data in past decades, these methods have become increasingly important in many application areas including matrix/tensor recovery, deep learning, data mining, and reinforcement learning. To optimize or improve iterative algorithms,...
Resource Type:: Dissertation

Cost-Age-Time Data Organized Garbage Collection

Creator:: Lee, Dongjun
Abstract:: NAND flash based solid state drives (SSDs) require out-of-place updating due to the characteristics of flash memories. In addition, due to the mismatched granularity between read/write and erase operations, a cleaning policy involving garbage collection and wear leveling has to perform data migration incurring high overhead. Another challenge is that...
Resource Type:: Masters Thesis

A Rapid β-/γ Autoradiographic Imaging Method for Post-detonation Nuclear Forensics and Radiological Emergency Response

Creator:: Foley, Ari A. R.
Abstract:: In a radiological emergency scenario, the capability to rapidly visualize radiation emitted from debris, contamination, or absorbed in biological samples, while visualizing the non-radioactive (or “conventional” image) features within a ﬁeld of view, will provide critical information to support optimization of further analysis, sample collection, and decision making. This research...
Resource Type:: Dissertation

Deletions and Insertions of the Symbol 0 and Asymmetric/Unidirectional Error Control Codes for the L₁ Metric

Creator:: Alqwaifly, Nawaf
Abstract:: This work gives some theory and efficient design of binary block codes capable of controlling the deletions of the symbol “0” (referred to as 0-deletions) and/or the insertions of the symbol “0” (referred to as 0-insertions). This problem of controlling 0-deletions and/or 0-insertions (referred to as symmetric 0-errors) is shown...
Resource Type:: Dissertation

Predicting and Improving Throughput, Responsiveness and Battery Life of Computer Systems by Machine Learning

Creator:: Li, Yunfan
Abstract:: The Machine Learning (ML) algorithms are increasingly explored in varies of fields including designing and optimizing computer systems. Recent research, such as optimizing memory/cache prefetching by ML training or predicting traffic pattern in throughput processors, also exhibits a promising future of introducing ML into computer system design and optimization. Throughput...
Resource Type:: Dissertation

Architecture Optimizations for Memory Systems of Throughput Processors

Creator:: Gu, Yongbin
Abstract:: Throughput-oriented processors, such as graphics processing units (GPUs), have been increasingly used to accelerate general purpose computing, including machine learning models that are being utilized in numerous disciplines. Thousands of concurrently running threads in a GPU demand a highly efficient memory subsystem for data supply in GPUs. In this dissertation,...
Resource Type:: Dissertation

Identifiability-Aware Joint Sparse Error Correction For Robust State Estimation

Creator:: Kibria, Sharmin
Abstract:: We study joint nonlinear state estimation with multi-period measurement vectors that are potentially corrupted by sparse gross errors. The identifiability-aware approach is proposed to leverage common characteristics of fundamentally identifiable gross errors to enhance error correction performance. First, we derive a necessary rank condition that the sparsity pattern of any...
Resource Type:: Dissertation

Adaptive Streaming Methods using Dual Protocols and Reinforcement Learning

Creator:: Gatimu, Kevin
Abstract:: The ubiquity of high quality video and proliferation of mobile devices has contributed to an unprecedented rise in video consumption. HTTP, in conjunction with adaptive streaming, has become the de facto mechanism for delivering the vast majority of video as it readily caters to heterogeneous networks and devices. This dissertation...
Resource Type:: Dissertation

Co-channel Blocker and Self-Interferer Tolerant Receiver Architectures for MIMO and Full-Duplex MIMO Receivers

Creator:: Jain, Sanket
Abstract:: This research focuses on receiver architectures which enable better spectral eciency by handling blockers in the same spectral range as the signal. The presence of such blockers, without the use of blocker cancelling/ltering techniques leads to gain compression and hence, consequent performance degradation of receivers leading to reduced spectrum...
Resource Type:: Dissertation

Dynamic and Dual Streaming Methods for H.264 Video and Parallel Performance Modeling

Creator:: Johnson, Taylor N.
Abstract:: Traditional approaches to streaming H.264 video over a network typically rely on a single method of transport (i.e., reliable or unreliable) and/or use static values for parameters that can have a significant negative impact on the perceptual quality of the received video. This dissertation presents a dynamic method for wireless...
Resource Type:: Dissertation

Advances in Modeling Natural Resource Management under Uncertainty : Forest Mortality, Policy Design, and the Value of Information

Creator:: Sloggy, Matthew R.
Abstract:: Advancing the understanding of natural resource management is an important step in mitigating the effects of human activity on the environment, and ensuring efficient outcomes for many sectors of the economy. As humanity’s role in the natural world becomes better understood, the importance of interdisciplinary modeling has grown in leaps...
Resource Type:: Dissertation

Power Efficient Architectures for Medium-high Resolution Analog-to-Digital Converters

Creator:: Sadollahi, Mahmoud
Abstract:: Analog-to-digital converters are essential components to the portable devices that we are using today. Wireless sensors, body implanted devices, communication devices and so forth require low power ADCs. Therefore achieving higher resolution and bandwidth with lower power consumption is targeted in ADCs design. In this work power efficient ADCs for...
Resource Type:: Dissertation

Dynamic Error Calibration for Continuous-Time Delta-Sigma Modulator with Multi-GHz Sampling Rate

Creator:: He, Tao
Abstract:: Continuous-time ΔΣ modulators are widely used in cellular handsets due to their power efficiency and inherent anti-aliasing characteristics. To achieve demanding cellular bandwidth requirements while maintaining good power efficiency, multi-bit feedback is typically used. This approach provides benefits such as lower OSR, relaxed loop filter requirements, and reduced jitter sensitivity....
Resource Type:: Dissertation

The Analysis of Hormone-dependent Transcription Factors and lncRNAs in Seeds by RNA Sequencing

Creator:: Sall, Khadidiatou
Abstract:: Seed dormancy is defined as the inability of viable seeds to germinate under conditionsotherwise favorable for germination. Dormancy provides a strategy for seeds to germinateat an appropriate time. Abscisic acid (ABA) is a major hormone involved in the regulationof seed dormancy. To elucidate the molecular mechanisms of dormancy, the twoexperimental...
Resource Type:: Dissertation

New Families of pseudo-Anosov Homeomorphisms with Vanishing Sah-Arnoux-Fathi Invariant

Creator:: Do, Hieu Trung
Abstract:: Translation surfaces can be viewed as polygons with parallel and equal sides identified. An affine homeomorphism φ from a translation surface to itself is called pseudo-Anosov when its derivative is a constant matrix in SL₂(R) whose trace is larger than 2 in absolute value. In this setting, the eigendirections of...
Resource Type:: Dissertation

Bioeconomic Simulation Modeling of Fisheries : Three Essays

Creator:: Cusack, Christopher Inju
Abstract:: Researchers rely on bioeconomic models to guide research and generate fishery management advice for commercial fisheries. Due partly to a paradigm shift towards ecosystem based fishery management, increasing complexity in the characteristics of the problems has meant that bioeconomic simulation models are becoming more prevalent in the fisheries literature. However...
Resource Type:: Dissertation

Transmission and Combining for Hybrid Automatic Repeat Request in Multiple-Input Multiple-Output Systems

Creator:: Whang, Younghoon
Abstract:: Hybrid automatic repeat request (HARQ) schemes combine packet retransmission with forward error correction to ensure a reliable communications. In multiple-input multiple output (MIMO) systems, interference cancellation (IC) detection is widely used where the detection and cancellation steps of the simultaneously transmitted data streams occur. In principle, the signal stream estimated...
Resource Type:: Dissertation

Quantum and Classical Simulation of Electronic Transport at the Nanoscale

Creator:: Gruss, Daniel S.
Abstract:: Time-dependent electronic transport is increasingly important to the state-of-the-art device design and fabrication. The development of nanoscale sensing, the harnessing and control of structural fluctuations, and the advancement of next-generation materials all require a treatment of quantum dynamics beyond the level of traditional methods and a more nuanced approach to...
Resource Type:: Dissertation

Threshold Selection Based on the SNR in Time of Arrival Localization System

Creator:: Lyu, Tao
Abstract:: Threshold-based time of arrival (TOA) estimation is a technique for high-precision indoor localization. Existing threshold selection methods, such as xed thresh- old and normalized threshold methods, do not consider the signal-to-noise radio (SNR) value at the receiver. This is not desired for high-precision positioning. A proper threshold value depends on...
Resource Type:: Masters Thesis

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