Index Catalog // ScholarsArchive@OSU

Creator:: Tiong, Achara and Vergara, Hector A.
Abstract:: Resilient interdependent critical infrastructures (CIs) can better withstand cascading failures in disruptive events. This study proposes network expansion as a resilience improvement strategy for interdependent CIs and evaluates the influence of topology in interdependent network design for resilience optimization under disruption uncertainty. A resilience score consisting of network complexity and...
Resource Type:: Article

Creator:: Tiong, Achara
Abstract:: Critical Infrastructures (CIs) such as energy, water supply, telecommunications, and transportation are highly vulnerable to cascading failures due to their interdependent operations. A resilient network is crucial to withstand the impact of functionality loss in disruptive events. This research evaluates network expansion as a proactive resilience strategy in which new...
Resource Type:: Dissertation

Creator:: Walsh, Hannah S.
Abstract:: Modern engineered systems are increasingly integrated into society, decentralized, and interconnected. However, scale and complexity create unique challenges in system design, such as emergent behavior and unintended consequences. This work investigates the structural characteristics of robustness in complex engineered systems by identifying patterns of under-recognized vulnerabilities at various levels of...
Resource Type:: Dissertation

Creator:: Curran, William
Abstract:: State-of-the-art personal robots need to perform complex manipulation tasks to be viable in complex scenarios. However, many of these robots, like the PR2, use manipulators with high degrees of freedom. High degrees of freedom are desirable from a functionality standpoint, but make the learning task more difficult by adding a...
Resource Type:: Dissertation

Creator:: Mansourifard, Farzaneh
Abstract:: In the past two decades, the advancement in data collection and storage have led to the accumulation of complex datasets. Consequently, various industries have sought data-driven solutions to predict and detect anomalies. Temporal patterns have emerged as potential features in prediction models that could improve the performance of the identification...
Resource Type:: Masters Thesis

Creator:: Bira, Nicholas P.
Abstract:: This dissertation presents novel, field-activated smart material systems for the actuation and control of autonomous robots. Smart materials, a type of material whose properties can be changed with an external stimuli, represent a promising direction to expand upon existing robotic control and actuation methods, particularly in the sub-fields of soft...
Resource Type:: Dissertation

ScholarsArchive@OSU