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- Member of: Theses and Dissertations
This thesis aims at building a platform that will support both commercial microlending as well as charitable donation to support the real cause of microlending. The platform is expected to ensure privacy and transparency to the users in order to attract more users to use the system. Microlending involves monetary transactions, hence possible security threats to the system are discussed.
Blockchain is one of the technologies which has revolutionized financial transactions and microlending involves monetary transactions. Therefore, blockchain is viable option for microlending platform. Permissioned blockchain restricts the user admission to the platform and provides with identity management feature. This feature is required to ensure the security and privacy of various types of participants on the microlending platform.
The thesis models the domain of Abusive Head Trauma using Deep Learning techniques and builds an AI-driven System at scale using best Software Engineering Practices. It has been done in collaboration with Phoenix Children Hospital (PCH). The thesis breaks down AHT into sub-domains of Medical Knowledge, Data Collection, Data Pre-processing, Image Generation, Image Classification, Building APIs, Containers and Kubernetes. Data Collection and Pre-processing were done at PCH with the help of trauma researchers and radiologists. Experiments are run using Deep Learning models such as DCGAN (for Image Generation), Pretrained 2D and custom 3D CNN classifiers for the classification tasks. The trained models are exposed as APIs using the Flask web framework, contained using Docker and deployed on a Kubernetes cluster.
The results are analyzed based on the accuracy of the models, the feasibility of their implementation as APIs and load testing the Kubernetes cluster. They suggest the need for Data Annotation at the Slice level for CT scans and an increase in the Data Collection process. Load Testing reveals the auto-scalability feature of the cluster to serve a high number of requests.
https://www.youtube.com/watch?v=5osMYze5138
In January 2020, the World Health Organization (WHO) declared the outbreak of the novel SARS-CoV-2, otherwise referred to as COVID-19, to be an international pandemic. Ensuing health regulations around the world forced the cease of international traveling, reduced domestic travel, implemented mandatory stay-at-home orders and asked many to wear face masks in public areas. Students, workers, and many in the public sphere switched from in-person interactions to online platforms, operating remotely from their respective homes. The shift to virtual platforms has since greatly impacted arts programs and professions. Whereas the nature of music and art production rely upon the collaboration between people, often in the same room, the forced shift to virtual platforms created an upheaval for artists to re-imagine their work.
Though the transition from in-person to virtual collaboration seemed abrupt and unwanted, it opened up opportunities to create new projects that otherwise may not have happened. “Cross-Disciplinary Arts Collaboration on a Virtual Platform” took advantage of the ubiquitous shift to virtual collaboration of art disciplines. This project combined poetry, music, dance and visual art to create a unique piece that might not have been possible through strictly in-person collaboration. The goal of this project was to amplify the meaning and impact of music through the addition of words (poetry), movement (dance), and visuals (artwork).