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Learning To Automate Follow-Up Question Generation Using Process Knowledge For Depression Triage On Reddit Posts, Shrey Gupta, Anmol Agarwal, Manas Gaur, Kaushik Roy, Vignesh Narayanan, Ponnurangam Kumaraguru, Amit Sheth 2022 IIIT Hyderabad, India

Learning To Automate Follow-Up Question Generation Using Process Knowledge For Depression Triage On Reddit Posts, Shrey Gupta, Anmol Agarwal, Manas Gaur, Kaushik Roy, Vignesh Narayanan, Ponnurangam Kumaraguru, Amit Sheth

Publications

Conversational Agents (CAs) powered with deep language models (DLMs) have shown tremendous promise in the domain of mental health. Prominently, the CAs have been used to provide informational or therapeutic services (e.g., cognitive behavioral therapy) to patients. However, the utility of CAs to assist in mental health triaging has not been explored in the existing work as it requires a controlled generation of follow-up questions (FQs), which are often initiated and guided by the mental health professionals (MHPs) in clinical settings. In the context of `depression', our experiments show that DLMs coupled with process knowledge in a mental health ...


An Ontology For Cardiothoracic Surgical Education And Clinical Data Analytics, Maryam Panahiazar, Yorick Chern, Ramon Riojas, Omar S.Latif, Usha Lokala, Dexter Hadley, Amit Sheth, Ramin E.Beygui 2022 Bakar Computational Health Sciences Institute, School of Medicine, University of California San Francisco, San Francisco, CA, USA

An Ontology For Cardiothoracic Surgical Education And Clinical Data Analytics, Maryam Panahiazar, Yorick Chern, Ramon Riojas, Omar S.Latif, Usha Lokala, Dexter Hadley, Amit Sheth, Ramin E.Beygui

Faculty Publications

The development of an ontology facilitates the organization of the variety of concepts used to describe different terms in different resources. The proposed ontology will facilitate the study of cardiothoracic surgical education and data analytics in electronic medical records (EMR) with the standard vocabulary.


Data Parallel Frameworks For Training Machine Learning Models, Guoyi Zhao 2022 University of Massachusetts Amherst

Data Parallel Frameworks For Training Machine Learning Models, Guoyi Zhao

Doctoral Dissertations

Machine learning is the study of computer algorithms that focuses on analyzing and interpreting patterns and structures in data. It has been successfully applied to many areas in computer science and achieved state-of-the-art results to enable learning, reasoning, and decision-making without human interactions. This research aims to develop innovated data parallel frameworks to accommodate the computing resources to parallelize different machine learning and deep learning algorithms and speed up the training. To achieve that, we explore three interesting frameworks in this dissertation: (1) Sync-on-the-fly framework for gradient descent algorithms on transient resources; (2) Asynchronous Proactive Data Parallel framework for both ...


Halide Perovskites Enable Polaritonic Xy Spin Hamiltonian At Room Temperature, Renjie Tao, Kai Peng, Louis Haeberlé, Quanwei Li, Dafei Jin, Graham R. Fleming, Stéphane Kéna-Cohen, Xiang Zhang, Wei Bao 2022 University of California, Berkeley

Halide Perovskites Enable Polaritonic Xy Spin Hamiltonian At Room Temperature, Renjie Tao, Kai Peng, Louis Haeberlé, Quanwei Li, Dafei Jin, Graham R. Fleming, Stéphane Kéna-Cohen, Xiang Zhang, Wei Bao

Faculty Publications from the Department of Electrical and Computer Engineering

Exciton polaritons, the part-light and part-matter quasiparticles in semiconductor optical cavities, are promising for exploring Bose–Einstein condensation, non-equilibrium many-body physics and analogue simulation at elevated temperatures. However, a room-temperature polaritonic platform on par with the GaAs quantum wells grown by molecular beam epitaxy at low temperatures remains elusive. The operation of such a platform calls for long-lifetime, strongly interacting excitons in a stringent material system with large yet nanoscale-thin geometry and homogeneous properties. Here, we address this challenge by adopting a method based on the solution synthesis of excitonic halide perovskites grown under nanoconfinement. Such nanoconfinement growth facilitates the ...


Unstumm | Augmented Voyage: A Platform For Telematic Live Performances In Augmented Reality, UnStumm UnStumm, Nicola Hein, Claudia Schmitz, Sven Hahne Hahne 2022 Columbia University, University of Music and Performing Arts Munich

Unstumm | Augmented Voyage: A Platform For Telematic Live Performances In Augmented Reality, Unstumm Unstumm, Nicola Hein, Claudia Schmitz, Sven Hahne Hahne

Journal of Network Music and Arts

UnStumm | Augmented Voyage is curated and developed by time-based media artist Claudia Schmitz and sound artist and guitarist Nicola L. Hein. It was programmed and developed by software engineer Sven Hahne. UnStumm | Augmented Voyage is also a mobile app and server infrastructure that serves as the artistic vehicle to realize telematic live performances with artists from around the globe. It consists of video art, music, and dance in augmented reality.
Through the use of our software, the audience is able to view the video streams by video artists as 3D video sculptures and listen to the audio streams by the ...


“Dancedemic” In A Pandemic: A New Networked Reality, Ellen Pearlman 2022 MIT, RISEBA University Latvia, ThoughtWorks Arts

“Dancedemic” In A Pandemic: A New Networked Reality, Ellen Pearlman

Journal of Network Music and Arts

The Covid-19 pandemic of 2020 forced large parts of the globe and entire industries to shut down. Network connectivity became a necessary lifeline deploying a host of technologies that, while once considered experimental, were to be adopted as a vital part of just-in-time solutions-based practices. This report examines the implementation of one of these topologies in the form of an artist-built, artist-owned global network in the hopes that other small-sized organizations can benefit from these ad hoc, but successful solutions.


A Spectrum Of Online Rehearsal Applications: A Potential Means For Cultural Connection, Dana Kemack Goot, W. Scott Deal 2022 Indiana University–Purdue University Indianapolis

A Spectrum Of Online Rehearsal Applications: A Potential Means For Cultural Connection, Dana Kemack Goot, W. Scott Deal

Journal of Network Music and Arts

The current array of telematic music applications offers exceptional opportunities to transcend distance and enable networking between various cultures and communities. As a means to achieve this, network music applications require assessment through their previous implementations, installation requirements, cost, hardware requirements, and usability in order to assess their potential and to decipher improvements needed as a means of cultural connectivity. An early precursor of telematic music was an innovative concert by Paul Robeson in 1957, which circumvented political restrictions and enabled activism as it occurred, despite the U.S. State Department’s revocation of Robeson’s passport due to his ...


Telematic Immersion: Performance, Technology, And Audiovisual Work In Virtual Studies (2020) By Paulo C. Chagas, Cássia Carrascoza Bomfim 2022 University of São Paulo

Telematic Immersion: Performance, Technology, And Audiovisual Work In Virtual Studies (2020) By Paulo C. Chagas, Cássia Carrascoza Bomfim

Journal of Network Music and Arts

This article discusses the concept of telematic immersion developed in partnership with composer Paulo C. Chagas. Focusing on Chagas’s work Virtual Studies (2020) for flute, live electronics, and 3D video, we reflect on different aspects of artistic creativity in the telematic environment including the use of audio and video technology and the multiple connections between musicians and apparatuses. The article discusses how the parameters of chamber music in the physical environment, such as the uniqueness of the live performance, the corporality of sound, and the visual and choreographic dimension of the performance are being transformed through the virtual setting ...


Sonic Proximities: Locating Oneself And The Others Within A “Migratory Journey”, Ximena Alarcon Diaz 2022 University of Oslo

Sonic Proximities: Locating Oneself And The Others Within A “Migratory Journey”, Ximena Alarcon Diaz

Journal of Network Music and Arts

The INTIMAL App© is a mobile application that synchronously senses people’s walking rhythms in distant locations and then rhythmically sonifies these with the user’s chosen audio frequencies. Taken altogether, the perception of breathing and walking rhythms across space and time creates an embodied telepresence. At the level of content, the app has provided first-hand narrative accounts about the migration experiences of Colombian women living in Europe. These stories are meant to elicit a response from the listener, allowing for a path to be built out of new relationships that emerge between voices and sound frequencies. In the context ...


Editorial, Sarah Weaver 2022 Stony Brook University

Editorial, Sarah Weaver

Journal of Network Music and Arts

No abstract provided.


Mars Rover Mechanical Arm & Turret, Kendall C. Chappell, Kyle D. Peterson, Rodrigo Gonzalez, Sam Cole 2022 California Polytechnic State University, San Luis Obispo

Mars Rover Mechanical Arm & Turret, Kendall C. Chappell, Kyle D. Peterson, Rodrigo Gonzalez, Sam Cole

Mechanical Engineering

The Rover Mechanical Arm and Turret (RAT) team was originally tasked with designing and building a mechanical arm to attach to the Exo Mars rover: a project headed by Cal Poly professor, Rich Murray. The rover will be the 3rd in a series of rovers sponsored by Murray. Through ideation, comparison studies, research, and prototyping, the RAT team determined a design capable of fulfilling the sponsor’s specifications. The concept design is lightweight, durable, and capable of 4 degrees of freedom. With two links and a mechanical claw, the rover arm has the capability to retrieve small rock samples from ...


A Machine Learning Approach To Predicting The Onset Of Type Ii Diabetes In A Sample Of Pima Indian Women, Meriem Benarbia 2022 The Graduate Center, City University of New York

A Machine Learning Approach To Predicting The Onset Of Type Ii Diabetes In A Sample Of Pima Indian Women, Meriem Benarbia

Dissertations, Theses, and Capstone Projects

Type II diabetes is a disease that affects how the body regulates and uses sugar (glucose) as a fuel. This chronic disease results in too much sugar circulating in the bloodstream. High blood sugar levels can lead to circulatory, nervous, and immune systems disorders. Machine learning (ML) techniques have proven their strength in diabetes diagnosis. In this paper, we aimed to contribute to the literature on the use of ML methods by examining the value of a number of supervised machine learning algorithms such as logistic regression, decision tree classifiers, random forest classifiers, and support vector classifiers to identify factors ...


Happiness And Policy Implications: A Sociological View, Sarah M. Kahl 2022 The Graduate Center, City University of New York

Happiness And Policy Implications: A Sociological View, Sarah M. Kahl

Dissertations, Theses, and Capstone Projects

The World Happiness Report is released every year, ranking each country by who is “happier” and explaining the variables and data they have used. This project attempts to build from that base and create a machine learning algorithm that can predict if a country will be in a “happy” or “could be happier” category. Findings show that taking a broader scope of variables can better help predict happiness. Policy implications are discussed in using both big data and considering social indicators to make better and lasting policies.


Digital Forensics Range, Cody P. Shanahan, Bryson Y. Shishido, Samuel R. McKee, Justin Siu, Lisa Li, Maxwell Brewer 2022 California Polytechnic State University, San Luis Obispo

Digital Forensics Range, Cody P. Shanahan, Bryson Y. Shishido, Samuel R. Mckee, Justin Siu, Lisa Li, Maxwell Brewer

Computer Engineering

The Digital Forensics Range was developed to serve as an online training for groups interested in computer forensics. This year's team had the goal to expand upon last year, by adding a new forensics image, unity scenario, and additional AWS functionality. The team still wanted to continue with last year's goals of keeping the training easily runnable, quickly deployable, and rapidly scalable through the use of the cloud. Adding to last year's work, this year's team hoped to further increase the educational value of the simulation with more practice, and the addition of feedback. The training ...


Dual-Axis Precision Imager, Gary Huarng 2022 California Polytechnic State University, San Luis Obispo

Dual-Axis Precision Imager, Gary Huarng

Computer Engineering

The Dual-Axis Precision Imager (DAPI) is a drawing robot that processes images and draws them on a whiteboard. The system has two modes: a Sobel filter mode that finds the edges of the input image with a Sobel filter, and a tri-tone grayscale mode that approximates the shading of the input image with the colors white, gray, and black. The DAPI consists of an Arduino-controlled XY gantry system with a pen mounted on the gantry head, and a Processing IDE program that processes the original image, converts the processed image into gantry instructions, and sends them to the Arduino for ...


Therapeutic Mechanical Horse, Cade M. Liberty, Aleya Dolorfino, Peter Philips, Zuzanna Dominik, Luke Watts 2022 California Polytechnic State University, San Luis Obispo

Therapeutic Mechanical Horse, Cade M. Liberty, Aleya Dolorfino, Peter Philips, Zuzanna Dominik, Luke Watts

Mechanical Engineering

Jack's Helping Hand and its hippotherapy participants required a device to serve as an alternative to a live horseback riding experience that could also increase the range of riders. This would provide more clients with equine-assisted therapy that has proven to better the lives of people with both physical and mental disabilities. Horses can be unpredictable, tall, and sometimes anxiety-inducing, especially for new riders. Our group’s aim was to develop a mechanical horse that will be able to reduce these issues for equine therapy centers and the riders they help. When a rider gets to practice sitting on ...


The Poly Rover Project, Eric Lei, Alla Alamsi, Neil Patel, Diego Ramos 2022 California Polytechnic State University, San Luis Obispo

The Poly Rover Project, Eric Lei, Alla Alamsi, Neil Patel, Diego Ramos

Computer Engineering

The Polyver Project is an idea born from the curiosity of a few students who wondered what the interaction between a physical person and a rover as the host of random internet users would look like. It is also an experiment to enhance the exploration of real world sites in real time while also having the power of interaction.

The goal of the Polyver Project is to build the foundation for a system that can serve as the interface between the internet and a fleet of rovers. Each rover is equipped with at least a camera, microphone, and a speaker ...


Smartphone Control Of Rc Cars, Weston R. Fitzgerald 2022 California Polytechnic State University, San Luis Obispo

Smartphone Control Of Rc Cars, Weston R. Fitzgerald

Electrical Engineering

The smartphone-controlled RC (remote-controlled) car is an inexpensive remote-controlled car designed to be fast and portable. Instead of manufacturing, packaging, and shipping a separate controller, the remote control is implemented in a phone application, which saves time and money in both the design process and the manufacturing process. Utilizing the user’s smartphone is more cost-effective since mobile devices are a common recurrence, and packaging fewer devices results in overall better portability of the product.

This smartphone-controlled car is speedy and intuitive to learn for typical smartphone users. The user can change the car’s speed and direction wirelessly using ...


Total Sky Imager Project, Ryan D. Maier, Benjamin Jack Forest, Kyle X. McGrath 2022 California Polytechnic State University, San Luis Obispo

Total Sky Imager Project, Ryan D. Maier, Benjamin Jack Forest, Kyle X. Mcgrath

Mechanical Engineering

Solar farms like the Gold Tree Solar Farm at Cal Poly San Luis Obispo have difficulty delivering a consistent level of power output. Cloudy days can trigger a significant drop in the utility of a farm’s solar panels, and an unexpected loss of power from the farm could potentially unbalance the electrical grid. Being able to predict these power output drops in advance could provide valuable time to prepare a grid and keep it stable. Furthermore, with modern data analysis methods such as machine learning, these predictions are becoming more and more accurate – given a sufficient data set. The ...


Barrier Knockdown Test Control System For The Cal Poly Kinesiology Department, Regina M. Chapuis 2022 California Polytechnic State University, San Luis Obispo

Barrier Knockdown Test Control System For The Cal Poly Kinesiology Department, Regina M. Chapuis

Computer Engineering

The goal of this project is to design and implement a new control system for the LEDs and buttons on an existing Barrier Knockdown setup in the Cal Poly Kinesiology department. The Barrier Knockdown test is a testing apparatus in which subjects knock down a series of mechanical barriers in one of three patterns. The computer system times their reaction and movement time, and the test as a whole provides students with data to study the phenomenon of Contextual Interference. This system was previously controlled by an old computer setup that ultimately crashed. This project recreates the logic and user ...


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