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Theses/Dissertations

Rochester Institute of Technology

2021

Convolutional neural network

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Automating The Measurements Of Galaxy Redshifts And Ism Properties Using Cnn, Rohan Pattnaik Aug 2021

Automating The Measurements Of Galaxy Redshifts And Ism Properties Using Cnn, Rohan Pattnaik

Theses

Studying the effects that the local environments of galaxies have on their interstellar medium (ISM) properties is crucial for understanding galaxy evolution and large scale structure of the universe. In order to do that we need precise measurements of ISM properties like Star Formation Rate (SFR), metallicity (Z), ionization parameter (U), gas pressure, and extinction. Accurate estimation of redshift and emission line fluxes from a galaxy's spectrum is the first step in measuring these ISM properties. Current techniques for these measurements still rely on time-consuming manual efforts or error-prone cross-correlation codes that are already struggling to process the vast quantities …


A Programmable Processing-In-Memory Architecture For Memory Intensive Applications, Mark Connolly May 2021

A Programmable Processing-In-Memory Architecture For Memory Intensive Applications, Mark Connolly

Theses

While both processing and memory architectures are rapidly improving in performance, memory architecture is lagging behind. As performance of processing architecture continues to eclipse that of memory, the memory architecture continues to become an increasingly unavoidable bottleneck in computer architecture. There are two drawbacks that are commonly associated with memory accesses: i) large delays causing the processor to remain idle waiting on data to become available and ii) the power consumption required to transfer the data. These performance issues are especially notable in research and enterprise computing applications such as deep learning models. Even when data for an application such …


Analyzing Emotion Regulation Using Multimodal Data, Geeta Madhav Gali Mar 2021

Analyzing Emotion Regulation Using Multimodal Data, Geeta Madhav Gali

Theses

An emotion is a state of one's mind that derives from situations, mood, etc. Understanding people's emotions is a complex problem. People express their emotions using facial expressions or via voice modulations; also, they use emotion regulation strategies such as cognitive reappraisal and expressive suppression in certain instances. Emotion regulation is a method by which we alter our emotions by changing how we express and perceive different situations. Understanding these emotional regulations helps to interact better, communicate and provide care. In this research, we analyze, visualize the differences and distinguish the emotions of disgust and humor with and without emotion …