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Machine Learning for Tangible Effects: Natural Language Processing for Uncovering the Illicit Massage Industry & Computer Vision for Tactile Sensing- [electronic resource]
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Machine Learning for Tangible Effects: Natural Language Processing for Uncovering the Illicit Massage Industry & Computer Vision for Tactile Sensing- [electronic resource]
자료유형  
 학위논문
Control Number  
0016935075
International Standard Book Number  
9798380848527
Dewey Decimal Classification Number  
629.8
Main Entry-Personal Name  
Ouyang, Nancy Rui.
Publication, Distribution, etc. (Imprint  
[S.l.] : Harvard University., 2023
Publication, Distribution, etc. (Imprint  
Ann Arbor : ProQuest Dissertations & Theses, 2023
Physical Description  
1 online resource(152 p.)
General Note  
Source: Dissertations Abstracts International, Volume: 85-05, Section: B.
General Note  
Advisor: Doshi-Velez, Finale;Rigobon, Roberto.
Dissertation Note  
Thesis (Ph.D.)--Harvard University, 2023.
Restrictions on Access Note  
This item must not be sold to any third party vendors.
Summary, Etc.  
요약I explore two questions in this thesis: how can computer science be used to fight human trafficking? And how can computer vision create a sense of touch?The United States illicit massage industry (IMI) is a multi-billion dollar industry that offers not just therapeutic massages but also commercial sexual services. Illicit massage parlors number in the thousands and exist in every major city in the United States. Employees are often immigrant women with few other job opportunities, leaving them vulnerable to fraud, coercion, and other facets of human trafficking.By creating datasets using three publicly-accessible websites: Google Places, Rubmaps, and the AMPReviews forum, I show how we can use natural language processing tools such as bag-of-words combined with machine learning classifiers to help monitor spatiotemporal trends in the IMI. Monitoring plays an essential role in preventing trafficking and protecting employees within the IMI. I further show how to use word embeddings such as Word2Vec to derive insights into the labor pressures and language barriers affecting IMI employees. Similarly, I analyze the income, demographics, and societal pressures (such as relationship status) affecting sex buyers. Other insights include linked domains and using the word embeddings as a tool for acronym expansion.I also consider counter-trafficking in the banking sector. Human trafficking is about money, much of which will eventually flow through the legal financial system. Banks are legally required to have safeguards to guarantee they are not aiding or abetting criminal activity. My preliminary work focuses on creating synthetic transaction data so that researchers can more easily prototype, evaluate, and collaborate on developing anti-money laundering algorithms. This work adopts agent-based modeling and is inspired by red-flagged transactional behaviors from the United States and the Canadian financial regulatory agencies. I show both the uses and limitations of my model in generating timestamps and payee-recipient graphs for transactions.Finally, I consider the role of computer vision in creating tactile sensors. Tactile sensors are critical for robots that seek to manipulate and interact with the world, a prerequisite for helping with household tasks. Existing sensors include the Gelsight sensor, which consists of a camera facing a gel that is lit from multiple angles. The surface of the gel is slightly translucent and slightly reflective (semi-specular), and when objects are pressed into the gel, the image becomes a tactile image. Adapting a Gelsight sensor to the task of finding buried objects in sand required several modifications. Creating a wedge-shaped sensor allows for digging down into the granular media. The novel use of fluorescent paint instead of LEDs for gel lighting allows for significant sensor size reduction. Finally, an integrated vibrator motor counteracts jamming in the granular media, reducing force requirements for moving through the media.This work also shows how to use a webcam and a printed reference marker, or fiducial, to create a low-cost six-axis force-torque sensor. Commercial six-axis force-torque sensors cost thousands of dollars and often contain delicate strain gauges. By contrast, this sensor is inexpensive, made using readily-available rapid prototyping technologies, and easy to modify. All code and hardware design files are open sourced, opening up six-axis force-torque sensing to a wider range of applications.
Subject Added Entry-Topical Term  
Robotics.
Subject Added Entry-Topical Term  
Social research.
Subject Added Entry-Topical Term  
Computer science.
Index Term-Uncontrolled  
Computational social science
Index Term-Uncontrolled  
Computer vision
Index Term-Uncontrolled  
Human trafficking
Index Term-Uncontrolled  
Illicit massage industry
Index Term-Uncontrolled  
Natural language processing
Index Term-Uncontrolled  
Tactile sensing
Added Entry-Corporate Name  
Harvard University Engineering and Applied Sciences - Computer Science
Host Item Entry  
Dissertations Abstracts International. 85-05B.
Host Item Entry  
Dissertation Abstract International
Electronic Location and Access  
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Control Number  
joongbu:640810
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