Index Catalog // ScholarsArchive@OSU

Pedestrian distraction : pedestrian behaviors at midblock crossings considering geometric and environmental conditions

Creator:: Kautz, Julia Anne
Abstract:: Pedestrian distraction at roadway crossings has been correlated with a higher risk of pedestrian-vehicle collisions due to the pedestrian's cognitive, visual, and motor attention being drawn to a wide variety of secondary tasks. This study is different from previous field studies of pedestrian midblock crossings in that the geometric layout...
Resource Type:: Masters Thesis
Full Text:: my advisor Dr. David Hurwitz, and to my committee members Professor Chris Bell, Professor Prasad

Separabilities for a new class of gray codes

Creator:: Park, Jung Pil
Resource Type:: Capstone Project
Full Text:: have been proposed for the Lee distance Gray codes over Z4 with the mapping: 0 +-+ 00, 1 +-+ 01, 2

Resource placement, data rearrangement, and Hamiltonian cycles in torus networks

Creator:: Bae, Myung Mun
Abstract:: Many parallel machines, both commercial and experimental, have been/are being designed with toroidal interconnection networks. For a given number of nodes, the torus has a relatively larger diameter, but better cost/performance tradeoffs, such as higher channel bandwidth, and lower node degree, when compared to the hypercube. Thus, the torus is...
Resource Type:: Dissertation
Full Text:: constructive comment on this work. Thanks also to my friends and colleagues, Dokyoung Ok, Seokjun Lee, Bob

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

Effectiveness of integration of internet technologies in support of teaching and learning computer science programming

Creator:: Hajebi, Mojgan
Abstract:: In spite of wide spread adoption of the internet technology in teaching and learning, little research exists on the use and the effect of web incorporation in teaching and learning. Immediate clarification of how, when, and for whom the web integration in education is beneficial is needed. This qualitative study...
Resource Type:: Dissertation
Full Text:: been acclaimed to have the potential to transform teaching and learning (Bell, Davis, & Linn, 1995

Physical activity recognition of free-living data using change-point detection algorithms and hidden Markov models

Creator:: Anderson, Michael M.
Abstract:: Physical activity recognition using accelerometer data is a rapidly emerging ﬁeld with many real-world applications. Much of the previous work in this area has assumed that the accelerometer data has already been segmented into pure activities, and the activity recognition task has been to classify these segments. In reality, activity...
Resource Type:: Masters Thesis

Nonuniform Sampling Of Band-limited Functions

Creator:: Al-Hammali, Hussain Y.
Abstract:: In this thesis, we will study certain generalizations of the classical Shannon Sampling Theorem, which allows for the reconstruction of a pi-band-limited, square-integrable function from its samples on the integers. J. R. Higgins provided a generalization where the integers can be perturbed by less than 1/4, which includes nonuniform and...
Resource Type:: Dissertation
Full Text:: for decomposing a distribution, see [20]. Also, we should mention that Lee [26] did an early study

Data Collection in Sensor Networks via the Novel Fast Markov Decision Process Framework

Creator:: Duong, Thai
Abstract:: We investigate the data collection problem in sensor networks. The network consists of a number of stationary sensors deployed at different sites for sensing and storing data locally. A mobile element moves from sites to sites to collect data from the sensors periodically. There are different costs associated with the...
Resource Type:: Masters Thesis
Full Text:: , and communications. In 1957, Bell- man proposed his well-known Bellman’s equation for Markov Decision

Reinforcement learning-based off-equilibrium incentives to approximate the VCG mechanism

Creator:: Moissinac, Béatrice
Abstract:: Auctions are used to solve resource allocation problem between many agents and many items in real-world settings. Unfortunately, in most cases, it is possible for selfish agents to manipulate the system for their own interest at the expense of the social welfare. Such manipulation can be prevented using the Vickrey-Clarke-Groves...
Resource Type:: Masters Thesis

Action Segmentation in Videos: Deep Models, Prediction Diffusion, and Deep-Temporal Augmentations

Creator:: Aziere, Nicolas
Abstract:: This paper addresses the high model complexity and overconfident frame labeling of state-of-the-art (SOTA) action segmenters. Their complexity is typically justified by the need to sequentially refine action segmentation through multiple stages of a deep architecture. However, this multistage refinement does not take into account uncertainty of frame labeling predicted...
Resource Type:: Dissertation

ScholarsArchive@OSU

Pedestrian distraction : pedestrian behaviors at midblock crossings considering geometric and environmental conditions

Separabilities for a new class of gray codes

Resource placement, data rearrangement, and Hamiltonian cycles in torus networks

Learning greedy policies for the easy-first framework

Effectiveness of integration of internet technologies in support of teaching and learning computer science programming

Physical activity recognition of free-living data using change-point detection algorithms and hidden Markov models

Nonuniform Sampling Of Band-limited Functions

Data Collection in Sensor Networks via the Novel Fast Markov Decision Process Framework

Reinforcement learning-based off-equilibrium incentives to approximate the VCG mechanism

Action Segmentation in Videos: Deep Models, Prediction Diffusion, and Deep-Temporal Augmentations

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