Proceedings, MSVSCC 2014

Proceedings of the 8th Annual Modeling, Simulation & Visualization Student Capstone Conference held on April 17, 2014 at VMASC in Suffolk, Virginia

Deep Model for Improved Operator Function State Assessment

A deep learning framework is presented for engagement assessment using EEG signals. Deep learning is a recently developed machine learning technique and has been applied to many applications. In this paper, we proposed a deep learning strategy for operator function state (OFS) assessment. Fifteen pilots participated in a flight simulation from Seattle to Chicago. During the four-hour simulation, EEG signals were recorded for each pilot. We labeled 20- minute data as engaged and disengaged to fine-tune the deep network and utilized the remaining vast amount of unlabeled data to initialize the network. The trained deep network was then used to assess if a pilot was engaged during the four-hour simulation

The appraisal of Facebook online community: An exposition of mobile commerce in social media reviews

Peer reviewe

Toward a Theory of Consumer Interaction With Mobile Technology Devices

The purpose of this dissertation was to explore the phenomenon of consumer interaction with mobile technology devices (MTDs). MTDs include electronic “gadgets” such as personal digital assistants (PDAs) and smartphones that are carried and used frequently by consumers. The emphasis in this dissertation was on developing an explanatory framework to account for everyday experiences of MTD consumption. In light of limited consumer research on the pervasive phenomenon, an inductive, theory-building approach was taken, employing the constant comparative methodology of grounded theory (Glaser and Strauss 1967; Glaser 1978). Data was gathered primarily through in-depth interviews with 20 participants who had extensive familiarity with the phenomenon. Convergence on a “core category” of Cultivating the Self explained the majority of variance in participants‟ social psychological processes while interacting with MTDs. By Cultivating the Self, consumers interact intimately with mobile technology devices in myriad ways over time, investing “psychic energy” (Csikszentmihalyi and Rochberg-Halton 1981) into the products in order to actualize goals and therefore actualize themselves, all the while becoming closer to the devices, both figuratively and literally. The core category is comprised of three interrelated stages: Transitioning, Integrating and Bonding. By Transitioning to their devices, consumers undergo a fundamental and totalizing “ecological” change in their lives as they come to understand and assimilate interactions with MTDs. Through Integrating their devices, consumers select and align activities in their daily lives with capabilities that arise from interacting with their MTDs, “offloading” tasks to the products in a process that blurs the distinction between “personal” and “professional” lives. By Bonding, consumers make the products “their own” as they become increasingly proximate and intimate with their MTDs through customizing, personifying and interacting playfully with them. Extant theory was considered in extending properties of the core category, with special attention given to the ontological and epistemological differences between structuralist and interactionist paradigms underlying prior research on human-object relations. A symbolic interactionist view of human behavior was demonstrated as supporting emergent conceptualizations of the phenomenon. The interactionist approach and emergent theory developed through this dissertation provides support for the Service-Dominant Logic views currently evolving in contemporary marketing thought

Diffusion of tin from TEC-8 conductive glass into mesoporous titanium dioxide in dye sensitized solar cells

The photoanode of a dye sensitized solar cell is typically a mesoporous titanium dioxide thin film adhered to a conductive glass plate. In the case of TEC-8 glass, an approximately 500 nm film of tin oxide provides the conductivity of this substrate. During the calcining step of photoanode fabrication, tin diffuses into the titanium dioxide layer. Scanning Electron Microscopy and Electron Dispersion Microscopy are used to analyze quantitatively the diffusion of tin through the photoanode. At temperatures (400 to 600 °C) and times (30 to 90 min) typically employed in the calcinations of titanium dioxide layers for dye sensitized solar cells, tin is observed to diffuse through several micrometers of the photoanode. The transport of tin is reasonably described using Fick\u27s Law of Diffusion through a semi-infinite medium with a fixed tin concentration at the interface. Numerical modeling allows for extraction of mass transport parameters that will be important in assessing the degree to which tin diffusion influences the performance of dye sensitized solar cells