Index Catalog // ScholarsArchive@OSU

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:: Abstract approved: ______________________________________________________ Matthew I. Campbell

A Study of Temporal Convolutional Neural Networks for Music Language Modeling as Applied to Automatic Music Transcription

Creator:: Meyn, Matthew
Abstract:: Automatic music transcription (AMT) is the task, given an acoustic representation of music, to recover a symbolic notation of the written notes expressed by the sound. Transcribing music with multiple notes sounding simultaneously is difficult for both humans and machines. Much existing work on AMT has focused on suitable acoustic...
Resource Type:: Capstone Project
Full Text:: AN ABSTRACT OF THE PROJECT REPORT OF Matthew Meyn for

Scale effects on reinforced concrete beams strengthened for shear with discrete externally bonded carbon fiber-reinforced polymer U-wraps

Creator:: Dawson, Matthew Ryan
Abstract:: Current ACI design provisions for shear in reinforced concrete (RC) beams strengthened with externally bonded carbon fiber-reinforced polymer (CFRP) U-wraps may not adequately account for the effect of scale. This paper describes tests of 6 geometrically scaled beams to identify possible scale effects of such beams. Results indicated that effective...
Resource Type:: Masters Thesis
Full Text:: THE THESIS OF Matthew Ryan Dawson for the degree of Master of Science in Civil Engineering

A collaborative filtering algorithm and evaluation metric that accurately model the user experience

Creator:: McLaughlin, Matthew
Abstract:: "Collaborative filtering algorithms’ performances have been evaluated using a variety of metrics. These metrics, such as Mean Absolute Error and Precision, have often ignored recommendations for which they do not have data. Ignoring these recommendations has provided numbers which do not accurately represent the user experience. Qualitatively we have seen...
Resource Type:: Capstone Project
Full Text:: , San Francisco. (pp. 43-52). 2. Dahlen, B. J., Konstan, J. A., Herlocker, J. L., Good, N

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:: AN ABSTRACT OF THE DISSERTATION OF Matthew S

Monte Carlo Tree Search with Fixed and Adaptive Abstractions

Creator:: Hostetler, Jesse A.
Abstract:: Monte Carlo tree search (MCTS) is a class of online planning algorithms for Markov decision processes (MDPs) and related models that has found success in challenging applications. In the online planning approach, the agent makes a decision in the current state by performing a limited forward search over possible futures...
Resource Type:: Dissertation

Heuristic search in symbolic probability inference

Creator:: Pan, Yonghong
Abstract:: I present a new heuristic search approach to compute approximate answers for the probability query in belief nets. This approach can compute the 'best' bounds for a query in a period of any given time (if time permitted, it will get an exact value). It inherits the essence of Symbolic...
Resource Type:: Capstone Project
Full Text:: algorithms. 7. Reference [Chin, H. L. and G. F. Cooper, 1987]. Stochastic Simulation of Bayesian Belief

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:: Junkun Chen, James Cross, Ning Dai, Sizhen Li, Kaibo Liu, Mingbo Ma, Matthew Meyn, Göksu Öztürk

Porting and optimizing a routing library for Dataparallel C on the nCUBE 2 system

Creator:: Sivaramapuram, Krishna
Abstract:: Dataparallel C has been designed for various kinds of architectures and was developed jointly at University of New Hampshire and Oregon State University. This project dealt with porting the libraries to the nCUBE 2 system and helping a user compile his programs on nCUBE 2 directly from a Sun workstation...
Resource Type:: Capstone Project
Full Text:: were recorded and compared with that of the original code. L Acknowledgements I would like to

Re-understanding Finite-State Representations of Recurrent Policy Networks

Creator:: Danesh, Mohamad H.
Abstract:: We propose an approach for understanding control policies represented as recurrent neural networks. Recent work has approached this problem by transforming such recurrent policy networks into finite-state machines (FSM) and then analyzing the equivalent minimized FSM. While this led to interesting insights, the minimization process can obscure a deeper understanding...
Resource Type:: Masters Thesis
Full Text:: 58 50 0 2 4 5 5 0 0 3 3 1 1 5 00 L u n ar L an d er 32 32 1 95 14 26 11 50 18 0. 48

ScholarsArchive@OSU

Automated decomposition of complex parts for manufacturing with advanced joining processes

A Study of Temporal Convolutional Neural Networks for Music Language Modeling as Applied to Automatic Music Transcription

Scale effects on reinforced concrete beams strengthened for shear with discrete externally bonded carbon fiber-reinforced polymer U-wraps

A collaborative filtering algorithm and evaluation metric that accurately model the user experience

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

Monte Carlo Tree Search with Fixed and Adaptive Abstractions

Heuristic search in symbolic probability inference

Deep Learning for Human and Biological Languages

Porting and optimizing a routing library for Dataparallel C on the nCUBE 2 system

Re-understanding Finite-State Representations of Recurrent Policy Networks

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