Rose–Hulman Institute of Technology
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Detection of Error-Related Potentials Evoked by Haptic Feedback of Eblow Flexion and Extension
Full text linkRobotic rehabilitation systems are increasingly used to restore sensorimotor functions for individuals with disabilities. However, many assistive devices lack sensory feedback, which is essential information for user control and embodiment. Haptic feedback is a simple and non-invasive solution to provide sensory feedback through tactile stimulation. Errors in haptic feedback can reduce the device’s effectiveness. This study aims to investigate whether error-related potentials can be detected when evoked through errors in haptic feedback during elbow flexion and extension. Electroencephalography recordings showed statistically significant decreases in power spectral density under the conditions of 12.5 Hz, 2.8 and 4.0 seconds after the onset of an error. These findings support that error-related potentials can be evoked through tactile stimulation. The detection of error-related potentials can assist robotic rehabilitation 3 systems, with possible real-time error classification, advanced control strategies, and automated training
Analysis and Simulation of the Effect of Voids in Dually Reinforced Particle and Short Fiber Composites
No full textThis thesis investigates dual-reinforced polymer composites tailored for flywheel energy storage, combining short, chopped carbon fibers for load bearing with iron particulates for multifunctionality. A unified experimental–computational workflow was developed: tensile coupons were fabricated and tested, machine compliance was quantified using neat resin and removed from all curves, and elastic moduli were extracted with robust MATLAB routines. Parallel finite-element models in ANSYS 2023R reproduced the dog-bone geometry with standardized meshing, named selections, and displacement-controlled loading. Four material states—neat resin, resin and iron, resin and short carbon fiber, and the iron and fiber hybrid— were evaluated. Results show carbon fibers dominate stiffness gains, iron offers modest matrix stiffening, and the hybrid trades some tensile capacity for added functionality. Agreement between FEM and theory at 1% strain confirms model fidelity and clarifies load-sharing mechanisms. The framework provides a defensible basis for optimizing microstructure and property trade-offs in high-speed rotor composites
Implications of Biourbanism on Sustainable Business Strategy
Full text linkRecently developed for urban planners to view cities through the lens of ecosystems and other complex natural systems, the Biourbanism model is a set of metrics to numerically assess the resilience and sustainability of urban systems. This model focuses on ten factors of urban sustainability, which include categories such as energy, infrastructure, and technology, and is intended to help cities achieve more holistic measures of their ability to realize resilience and sustainability goals. The premise of this Integrated Project is that businesses can also be viewed as complex natural systems. Hence, this project examines case studies to show how implementing business metrics that resemble the Biourban metrics can produce insights that can help companies better navigate the changing social and environmental landscapes within which they operate.
The project argues that the existing sustainability frameworks are not specific enough to help companies achieve long-term economic, social, and environmental sustainability goals, and iii proposes a complementary use of more holistic composite metrics that better align with the long-term vision of a company’s social and environmental goals. These metrics also move companies away from focusing primarily on shallow regulatory or standards compliance. This project will propose a framework that enables companies to identify metrics through which they can achieve true long-term sustainability and briefly explore the potential integration of deep learning AI with digital twins, to enable the identification of optimized business strategies based on the proposed business strategy-specific sustainability metrics. While it is expected that the proposed methodology will be universally applicable to a variety of industries, this project will focus on applying the proposed methodology to the coffee industry. The findings of this study can guide future works in integrating sustainability in profit-driven businesses, serving as a foundation for financial stability and resilience against future risks, while acknowledging an ethical responsibility to customers and employees. Such a foundation can offer businesses the opportunity to reduce the barriers to achieving success through ethical means rather than an exploitative business model
