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Full-Text Articles in Physical Sciences and Mathematics
Reasoning About User Feedback Under Identity Uncertainty In Knowledge Base Construction, Ariel Kobren
Reasoning About User Feedback Under Identity Uncertainty In Knowledge Base Construction, Ariel Kobren
Doctoral Dissertations
Intelligent, automated systems that are intertwined with everyday life---such as Google Search and virtual assistants like Amazon’s Alexa or Apple’s Siri---are often powered in part by knowledge bases (KBs), i.e., structured data repositories of entities, their attributes, and the relationships among them. Despite a wealth of research focused on automated KB construction methods, KBs are inevitably imperfect, with errors stemming from various points in the construction pipeline. Making matters more challenging, new data is created daily and must be integrated with existing KBs so that they remain up-to-date. As the primary consumers of KBs, human users have tremendous potential to …
A Framework For Performance-Based Facade Design: Approach For Automated And Multi-Objective Simulation And Optimization, Mahsa Minaei
A Framework For Performance-Based Facade Design: Approach For Automated And Multi-Objective Simulation And Optimization, Mahsa Minaei
Doctoral Dissertations
Buildings have a considerable impact on the environment, and it is crucial to consider environmental and energy performance in building design. Buildings account for about 40% of the global energy consumption and contribute over 30% of the CO2 emissions. A large proportion of this energy is used for meeting occupants’ thermal comfort in buildings, followed by lighting. The building facade forms a barrier between the exterior and interior environments; therefore, it has a crucial role in improving energy efficiency and building performance. In this regard, decision-makers are required to establish an optimal solution, considering multi-objective problems that are usually competitive …
The Limits Of Location Privacy In Mobile Devices, Keen Yuun Sung
The Limits Of Location Privacy In Mobile Devices, Keen Yuun Sung
Doctoral Dissertations
Mobile phones are widely adopted by users across the world today. However, the privacy implications of persistent connectivity are not well understood. This dissertation focuses on one important concern of mobile phone users: location privacy. I approach this problem from the perspective of three adversaries that users are exposed to via smartphone apps: the mobile advertiser, the app developer, and the cellular service provider. First, I quantify the proportion of mobile users who use location permissive apps and are able to be tracked through their advertising identifier, and demonstrate a mark and recapture attack that allows continued tracking of users …
Learning Latent Characteristics Of Data And Models Using Item Response Theory, John P. Lalor
Learning Latent Characteristics Of Data And Models Using Item Response Theory, John P. Lalor
Doctoral Dissertations
A supervised machine learning model is trained with a large set of labeled training data, and evaluated on a smaller but still large set of test data. Especially with deep neural networks (DNNs), the complexity of the model requires that an extremely large data set is collected to prevent overfitting. It is often the case that these models do not take into account specific attributes of the training set examples, but instead treat each equally in the process of model training. This is due to the fact that it is difficult to model latent traits of individual examples at the …