Index Catalog // ScholarsArchive@OSU

Small group discussions in large lecture : connections between teacher facilitation and student participation

Creator:: Roth, Jennifer A. (Jennifer Albretsen)
Abstract:: An investigation was made to determine teacher facilitation techniques in large lecture physics classrooms that foster small group discussion. Video recordings of an introductory calculus-based physics class were taken for the 2008-2009 academic year at Oregon State University. These videos were analyzed to determine student participation in small group discussion...
Resource Type:: Masters Thesis
Full Text:: received on an informal basis from Dr. Emily van Zee, it is unlikely I would have pursued a master’s

Security protocols for linear network coding

Creator:: Adeli, Majid
Abstract:: Network coding, as the next generation of data routing protocols, enables each intermediate node in a network to process and encode its received data before forwarding it to the next nodes. Hence, the core idea in network coding is to allow a network to encode the data that is being...
Resource Type:: Dissertation

Diversity combining ARQ over the m(> 2)-ary unidirectional channel

Creator:: Elarief, Noha
Abstract:: In diversity combining automatic repeat request (ARQ), erroneous packets are combined together forming a single, more reliable, packet. In this thesis, we give a diversity combining scheme for the m-ary unidirectional channel. A system using the given scheme with a t-unidirectional error detecting code is able to correct up to...
Resource Type:: Masters Thesis
Full Text:: would also like to convey my thanks to Dr. Mary Flahive, Dr. Thinh Nguyen and Dr. Jim Coakley for

A statistical inference framework for finding recurring patterns in large data with applications to energy management

Creator:: You, Zeyu
Abstract:: We consider the problem of finding unknown patterns that are recurring across multiple sets. For example, finding multiple objects that are present in multiple images or a short DNA code that is repeated across multiple DNA sequences. We first consider a simple problem of finding a single unknown pattern in...
Resource Type:: Masters Thesis
Full Text:: Nguyen, Prof. Xiaoli Fern and Prof. for their support and advice. I would also like to thank our group

Sensor communication network within a desktop computer using the DC powerline

Creator:: Bahniuk, Eileen Kei
Abstract:: Powerline communication (PLC), is becoming a more commonplace method for data transmission, however it is still a very new medium for data transmission, and international standards for powerline communication are still in the process of being developed and established. PLC can provide a means of simplifying the device connectivity to...
Resource Type:: Masters Thesis

Power efficient H.264 video decoding in embedded multiprocessor

Creator:: Kim, Jihong
Abstract:: This thesis presents a novel methodology that enables power efficient video decoding in an embedded system based on MPSoC (Multiprocessor System on Chip). This methodology is a physical combination of parallel processing which reduces power consumption of processors by exploiting thread-level parallelism and Dynamic Voltage Frequency Scaling (DVFS) that allows...
Resource Type:: Masters Thesis

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
Full Text:: Nguyen, Prof. Un-Ku Moon and also Prof. Andreas Weisshaar. I am grateful to them for taking the time to

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

Energy-efficient, short-range ultra-wideband radio transceivers

Creator:: Hu, Changhui
Abstract:: Short-range wireless communications continually attract interest from both industry and academia, and it is changing our life in every aspect in the last decade. The design of wireless transceivers is the bottleneck for variety applications, due to RF modeling inaccuracy, stringent FCC regulations over the transmitted power spectrum, interference, multi-path...
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
Full Text:: - li Fern, Dr. Jinsub Kim, Dr. Thinh Nguyen, and Dr. Matt Campbell, for their unconditional support

ScholarsArchive@OSU

Small group discussions in large lecture : connections between teacher facilitation and student participation

Security protocols for linear network coding

Diversity combining ARQ over the m(> 2)-ary unidirectional channel

A statistical inference framework for finding recurring patterns in large data with applications to energy management

Sensor communication network within a desktop computer using the DC powerline

Power efficient H.264 video decoding in embedded multiprocessor

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

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

Energy-efficient, short-range ultra-wideband radio transceivers

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

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