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Image-Based Crack Detection By Extracting Depth Of The Crack Using Machine Learning, Nishat Tabassum
Image-Based Crack Detection By Extracting Depth Of The Crack Using Machine Learning, Nishat Tabassum
Theses and Dissertations
Concrete structures have been a major aspect of social infrastructure since the ancient Roman times, so they have been used for many centuries. Concrete is used for the durability and support it provides to buildings and bridges. Assessing the state of these structures is important in preserving the longevity of structures and the safety of the public. Detecting cracks in their early stage allows repairs to be made without the need to replace the whole structure, so it reduces the cost. Traditional methods are slowly falling behind as technology advances and an increase in demand for a practical method of …
Cybersecurity Of Critical Infrastructures: Challenges And Solutions, Leandros Maglaras, Helge Janicke, Mohamed Amine Ferrag
Cybersecurity Of Critical Infrastructures: Challenges And Solutions, Leandros Maglaras, Helge Janicke, Mohamed Amine Ferrag
Research outputs 2022 to 2026
People’s lives are becoming more and more dependent on information and computer technology. This is accomplished by the enormous benefits that the ICT offers for everyday life. Digital technology creates an avenue for communication and networking, which is characterized by the exchange of data, some of which are considered sensitive or private. There have been many reports recently of data being hijacked or leaked, often for malicious purposes. Maintaining security and privacy of information and systems has become a herculean task. It is therefore imperative to understand how an individual’s or organization’s personal data can be protected. Moreover, critical infrastructures …
2021-2022 Sustainability Committee Annual Report To The President, Saint Mary's College Of California
2021-2022 Sustainability Committee Annual Report To The President, Saint Mary's College Of California
Sustainability Report
No abstract provided.
Research On Fire Emergency Evacuation Simulation Based On Cooperative Deep Reinforcement Learning, Lingjia Ni, Xiaoxia Huang, Hongga Li, Zibo Zhang
Research On Fire Emergency Evacuation Simulation Based On Cooperative Deep Reinforcement Learning, Lingjia Ni, Xiaoxia Huang, Hongga Li, Zibo Zhang
Journal of System Simulation
Abstract: The fire accident is a major threat to the public safety, in which the high temperature, toxic and harmful gases seriously interfer the selection of the evacuation routes. Deep reinforcement learning is introduced into the research of emergency evacuation simulation, and a cooperative double deep Q network algorithm is proposed for the multi-agent environment. A fire scene model that changes dynamically over time is established to provide the real-time information on the distribution of the dangerous areas for the evacuation. The independent agent neural networks are integrated and the multi-agent unified deep neural network is established to realize the …
Policing By Proxy: Interrogating Big Tech's Role In Law Enforcement, Claire Elizabeth
Policing By Proxy: Interrogating Big Tech's Role In Law Enforcement, Claire Elizabeth
University Honors Theses
Predictive policing, sometimes referred to as data-driven or actuarial policing, is a method of policing that uses a risk-based approach to law enforcement. For-profit technology companies market proprietary risk assessment algorithms to law enforcement organizations as tools meant to proactively mitigate crime. Using data collected from a vast array of sources, both personal and public, police are able to "predict" the likelihood of criminal activity in a given area using these algorithms. Proponents claim that risk assessment tools have the potential to fight crime with unbiased accuracy and speed by predicting when, where, and whom to police by relying on …
Video Anomaly Detection: Practical Challenges For Learning Algorithms, Keval Doshi
Video Anomaly Detection: Practical Challenges For Learning Algorithms, Keval Doshi
USF Tampa Graduate Theses and Dissertations
Anomaly detection in surveillance videos is attracting an increasing amount of attention. Despite the competitive performance of several existing methods, they lack theoretical performance analysis, particularly due to the complex deep neural network architectures used in decision making. Additionally, real-time decision making is an important but mostly neglected factor in this domain. Much of the existing methods that claim to be online, depend on batch or offline processing in practice. Furthermore, several critical tasks such as continual learning, model interpretability and cross-domain adaptability are completely neglected in existing works. Motivated by these research gaps, in this dissertation we discuss our …
Adjusting Community Survey Data Benchmarks For External Factors, Allen Miller, Nicole M. Norelli, Robert Slater, Mingyang N. Yu
Adjusting Community Survey Data Benchmarks For External Factors, Allen Miller, Nicole M. Norelli, Robert Slater, Mingyang N. Yu
SMU Data Science Review
Abstract. Using U.S. resident survey data from the National Community Survey in combination with public data from the U.S. Census and additional sources, a Voting Regressor Model was developed to establish fair benchmark values for city performance. These benchmarks were adjusted for characteristics the city cannot easily influence that contribute to confidence in local government, such as population size, demographics, and income. This adjustment allows for a more meaningful comparison and interpretation of survey results among individual cities. Methods explored for the benchmark adjustment included cluster analysis, anomaly detection, and a variety of regression techniques, including random forest, ridge, decision …
Heating Fire Incidents In New York City, Merissa K. Lissade
Heating Fire Incidents In New York City, Merissa K. Lissade
Dissertations, Theses, and Capstone Projects
If you have ever had the Citizen app downloaded on your smart phone, then you know how many alerts you receive in a day living in New York City (NYC). Citizen is a mobile app that sends real-time safety alerts based on the location of its user. In my experience having the app, I have seen many notifications of fires caused by heaters during the winter. On the morning of January 9th, 2022, I received a notification of an accidental blaze that took the lives of 17 people from the choking smoke of a 19-story residential building in …
An Overview Of Technologies Deployed In Gcc Countries To Combat Covid-19, Samia Loucif, Murad Al-Rajab, Reem Salem, Nadine Akkila
An Overview Of Technologies Deployed In Gcc Countries To Combat Covid-19, Samia Loucif, Murad Al-Rajab, Reem Salem, Nadine Akkila
All Works
Since December 2019, COVID-19 and all of its variants continue to ravage the planet with consequent negative impact that has completely changed our lives within a short period of time after the outbreak of the Virus. On March 11, 2020, COVID-19 was declared a global pandemic by the World Health Organization. Since then, a group of new COVID-19 variants has emerged posing a greater danger to humanity. By the start of August 2021, the reported COVID-19 related death toll across the globe has rocketed to 4,233,139. To deal with the COVID-19 pandemic, countries across the world have rushed to develop …
Deep Learning For Person Re-Identification: A Survey And Outlook, Mang Ye, Jianbing Shen, Gaojie Lin, Tao Xiang, Ling Shao, Steven C. H. Hoi
Deep Learning For Person Re-Identification: A Survey And Outlook, Mang Ye, Jianbing Shen, Gaojie Lin, Tao Xiang, Ling Shao, Steven C. H. Hoi
Research Collection School Of Computing and Information Systems
Person re-identification (Re-ID) aims at retrieving a person of interest across multiple non-overlapping cameras. With the advancement of deep neural networks and increasing demand of intelligent video surveillance, it has gained significantly increased interest in the computer vision community. By dissecting the involved components in developing a person Re-ID system, we categorize it into the closed-world and open-world settings. We first conduct a comprehensive overview with in-depth analysis for closed-world person Re-ID from three different perspectives, including deep feature representation learning, deep metric learning and ranking optimization. With the performance saturation under closed-world setting, the research focus for person Re-ID …
Regulating Personal Data Usage In Covid-19 Control Conditions, Mark Findlay, Nydia Remolina
Regulating Personal Data Usage In Covid-19 Control Conditions, Mark Findlay, Nydia Remolina
Research Collection Yong Pung How School Of Law
Concern has been widely expressed about the potential for COVID-19 control technologies and resultant data sharing negatively impacting on civil rights, invading personal privacy, undermining citizen dignity through expansive data matching and ultimately providing opportunities for data use well beyond the brief of virus mitigation. This chapter offers suggestions regarding effective and inclusive regulatory responses when faced with extended surveillance, tracking/tracing, public/private provider data sharing and any breakdown in personal data firewalls, or otherwise conventional aggregated data deviations and distortion. In doing so, the chapter explores personal data usage in the context of COVID-19 as a regulatory enterprise. It addresses …
Replication Data For "Estimating Methane Emissions From Underground Natural Gas Pipelines Using An Atmospheric Dispersion-Based Method", Shanru Tian, Kathleen M. Smits, Younki Cho, Stuart Riddick, Daniel Zimmerle, Aidan Duggan
Replication Data For "Estimating Methane Emissions From Underground Natural Gas Pipelines Using An Atmospheric Dispersion-Based Method", Shanru Tian, Kathleen M. Smits, Younki Cho, Stuart Riddick, Daniel Zimmerle, Aidan Duggan
Earth & Environmental Sciences Datasets - Archive
Methane (CH4) leakage from natural gas (NG) pipelines poses an environmental, safety, and economic threat to the public. While previous leak detection and quantification studies focus on the aboveground infrastructure, the analysis of underground NG pipeline leak scenarios is scarce. Furthermore, no data from controlled release experiments have been published on the accuracy of methods used to (1) quantify emissions from an area source and (2) use these emissions to quantify the size of a subsurface leak. This proof-of-concept work uses CH4 mole fraction, as measured by a single gas sensor, as an input to a simple …
Problematic Ai — When Should We Use It?, Fredric Lederer
Problematic Ai — When Should We Use It?, Fredric Lederer
Popular Media
No abstract provided.
Impact Of Community Radio On Community Development In The United States, Jillian Hermansky
Impact Of Community Radio On Community Development In The United States, Jillian Hermansky
Capstone Collection
Community radio is a community-led broadcasting service that serves as a tool for development for communities around the world. This research study explores the development benefits of community radio in the United States using a case study of Federal Communications Commission (FCC)-licensed FM community radio stations to evaluate the role of community radio in communication and information sharing and promoting sustainable social change and development. To fulfill the objectives of the case study, data was collected from 55 community radio stations in the United States using mixed-questionnaire digital surveys and supplementary virtual interviews. Findings indicated that community radio stations in …
Software Security Management In Critical Infrastructures: A Systematic Literature Review, Gülsüm Ece Ekşi̇, Bedi̇r Teki̇nerdoğan, Cagatay Catal
Software Security Management In Critical Infrastructures: A Systematic Literature Review, Gülsüm Ece Ekşi̇, Bedi̇r Teki̇nerdoğan, Cagatay Catal
Turkish Journal of Electrical Engineering and Computer Sciences
Critical infrastructure (CI) is an integrated set of systems and assets that are essential to ensure the functioning of a nation, including its economy, the public's health and/or safety. Hence, protecting critical infrastructures (CI) is vital because of the potential severe consequences that may emerge at the national level. Many CIs are now controlled by software, and likewise, software is often the major source of many security problems in critical infrastructures. Software security management in CIs has been addressed in the literature and several useful approaches have been provided. Yet, these approaches are fragmented over multiple different studies, often do …
Cross-Gender And 1-To-N Face Recognition Error Analysis Of Gender Misclassified Images, Paloma Vela Achu
Cross-Gender And 1-To-N Face Recognition Error Analysis Of Gender Misclassified Images, Paloma Vela Achu
Theses and Dissertations
A number of recent research studies have shown that face recognition accuracy is meaningfully worse for females than males. Gender classification algorithms also perform worse: one commercial classifier gives a 7% error rate for African-American females vs. 0.5% for Caucasian males. In response to these observations, we consider one primary question: do errors in gender classification lead to errors in facial recognition? We approach this question by focusing on two main areas (1) do gender-misclassified images generate higher similarity scores with different individuals from the false-gender category versus their true-gender category? (2) What is the impact of gender misclassified images …
A Spatiotemporal Bayesian Model For Population Analysis, Mohamed Jaber
A Spatiotemporal Bayesian Model For Population Analysis, Mohamed Jaber
Theses and Dissertations
Spatiotemporal population analysis based on incomplete, redundant, and unidentified observations is critically important, yet it is a very challenging problem. Different approaches have been proposed and several methods have been implemented to address this problem. Capture-recapture methods have been widely used and have become the standard sampling and analytical framework for ecological statistics with applications to population analysis. Despite the fact that capture-recapture methods have been commonly used, these methods do not consider the spatial structure of the population. Moreover, conventional capturerecapture methods do not use any explicit spatial information with regard to the spatial nature of the sampling and …
Data-Driven Framework For Understanding & Modeling Ride-Sourcing Transportation Systems, Bishoy Kelleny
Data-Driven Framework For Understanding & Modeling Ride-Sourcing Transportation Systems, Bishoy Kelleny
Civil & Environmental Engineering Theses & Dissertations
Ride-sourcing transportation services offered by transportation network companies (TNCs) like Uber and Lyft are disrupting the transportation landscape. The growing demand on these services, along with their potential short and long-term impacts on the environment, society, and infrastructure emphasize the need to further understand the ride-sourcing system. There were no sufficient data to fully understand the system and integrate it within regional multimodal transportation frameworks. This can be attributed to commercial and competition reasons, given the technology-enabled and innovative nature of the system. Recently, in 2019, the City of Chicago the released an extensive and complete ride-sourcing trip-level data for …
Social Media Discussion On Covid-19 Impact On Mental Health In The Us, Uk, And India, Weixiao Sun
Social Media Discussion On Covid-19 Impact On Mental Health In The Us, Uk, And India, Weixiao Sun
Honors Projects in Data Science
Discovered in December 2019, Coronavirus (Covid-19) is an infectious disease that has spread rapidly around the world. The World Health Organization (WHO) declared Covid-19 a pandemic in March 2020. The pandemic has increased the occurrence of mental health problems including depression, stress, and anxiety. This research used real-life Tweets collected related to Covid-19 from March 2020 until October 2021. The objective is to analyze Tweets from the US, UK, and India to discover what topics people are discussing about Covid-19's impact on mental health. The theme for the US was related to government and politics, some dominant users in the …
Chattanooga Crime Over Time: An Analysis Of Police Incident Open Data, Logan Bateman
Chattanooga Crime Over Time: An Analysis Of Police Incident Open Data, Logan Bateman
Campus Research Month
The police and citizens of Chattanooga may want to know where the most crime occurs, what time of day is crime or police incidents most likely to occur over time. This information can help them understand the crime hotspots in the area. This research work presents a dashboard built upon open data in attempt to bring understanding and insights to the police and citizens about police incidents from the city of Chattanooga over the past five years.
Annual Faculty Research Symposium 2022, Oakwood University
Annual Faculty Research Symposium 2022, Oakwood University
Proceedings
No abstract provided.
How Students Use The Services Available From Lindenwood Universities Library, Jennifer Sailor
How Students Use The Services Available From Lindenwood Universities Library, Jennifer Sailor
2022 Student Academic Showcase
Student Assessment Scholars took on the Library Services stakeholder proposal. Their goal was to find how students use the service available from Lindenwood Universities Library. Through evidence, it was found that students have a positive sentiment towards the Lindenwood’s Library Services. That the Students want longer hours, better marketing, and find one of the best services being the building itself. Lindenwood Universities Library Services are similar to the other schools in the athletic conference. Lindenwood University houses a Maker Lab, Career Services, and technology rentals like the other universities, but Lindenwood students were not aware of them. Overall, students were …
Retention Of Qualified Cybersecurity Professionals: A Qualitative Study, Andrew Ishmael, Leila Halawi
Retention Of Qualified Cybersecurity Professionals: A Qualitative Study, Andrew Ishmael, Leila Halawi
Publications
The current endeavors to retain cybersecurity professionals are not enough to sustain the needs of the U.S. workforce. The researchers aim to explore retention strategies for qualified cybersecurity professionals supporting U.S. government contracts at a leading global security company. The researchers interviewed a sample of qualified cybersecurity professionals supporting U.S. government contracts to get essential information on retention in the cybersecurity profession. The researchers proposed four distinct pillars to make up the strategic framework for retaining qualified cybersecurity professionals.
Nature And Student Wellness At Grand Valley State University, Emma Cubitt
Nature And Student Wellness At Grand Valley State University, Emma Cubitt
Honors Projects
This project discusses the importance of student mental wellness in relation to nature exposure. A pamphlet is provided to educate students on outdoor volunteer opportunities, as well as hiking trails within walking distance of campus.
Flood Risk Prediction In Southern Louisiana Using Support Vector Machines, Claire Dorsett
Flood Risk Prediction In Southern Louisiana Using Support Vector Machines, Claire Dorsett
Mathematics Senior Capstone Papers
Flooding in Southern Louisiana is a growing concern as violent weather becomes more frequent. According to the Environmental Protection Agency (EPA), Louisiana soils have become drier and annual rainfall trends have increased, which may lead to more severe flooding in the coming years. In light of this change in weather trends, flood prediction has become increasingly important for the public’s safety. The focus of this paper is to apply the Support Vector Machine (SVM), a machine learning technique, to classify flood risks based on water gage height, wind speed and direction, and time of the year. In this paper, the …
Covid-19 Pandemic Effects On The Environment, Ken Overway, Phillips Lane
Covid-19 Pandemic Effects On The Environment, Ken Overway, Phillips Lane
Chemistry Faculty Scholarship
The coronavirus disease of 2019 (COVID-19) pandemic has been a constant in everyone’s lives for almost the past three years now and has embedded itself into basically every part of global society and norms. The main areas where this is evident are in the major disruptions in the economic, social, and public health sectors of the world. There is one other area that has been affected by this prolonged pandemic in a multitude of ways, the environment. Our environment, both globally and regionally, has seen both positive and negative effects throughout the COVID-19 pandemic in a variety of different areas. …
Changes In Demographic Factors’ Influence On Regional Productivity Growth: Empirical Evidence From China, 2000–2010, Xiaoxi Wang, Yaojun Zhang, Danlin Yu, Xiwei Wu, Ding Li
Changes In Demographic Factors’ Influence On Regional Productivity Growth: Empirical Evidence From China, 2000–2010, Xiaoxi Wang, Yaojun Zhang, Danlin Yu, Xiwei Wu, Ding Li
Department of Earth and Environmental Studies Faculty Scholarship and Creative Works
Improving total factor productivity is an important way for China’s economy to avoid the middle income trap. Demographic changes are believed to have significant impacts on productivity growth. Using the census and socioeconomic data of 358 prefecture cities in mainland China, this paper analyzes the changes in the global and local spatial dependence of total factor productivity. We then employ spatial regression methods to investigate the role of changes in population factors in productivity growth in 2000 and 2010. We draw three observations from the analysis. First, population density plays an important role in both years. There is an inverted …
Enhancing The Opportunities For Adults With Autism To Find Jobs Using A Job-Matching Algorithm, Joseph T. Bills
Enhancing The Opportunities For Adults With Autism To Find Jobs Using A Job-Matching Algorithm, Joseph T. Bills
Theses and Dissertations
Adults with autism face many difficulties when finding employment, such as struggling with interviews and needing accommodating environments for sensory issues. However, autistic adults also have unique skills to contribute to the workplace that companies have recently started to seek after, such as close attention to detail and trustworthiness. To work around these difficulties and help companies find the talent they are looking for we have developed a job-matching system. Our system is based around the stable matching of the Gale-Shapley algorithm to match autistic adults with employers after estimating how both adults with autism and employers would rank the …
The Impact Of Framing On Natural Gas Pipeline Siting In Virginia, Ritvik Shukla
The Impact Of Framing On Natural Gas Pipeline Siting In Virginia, Ritvik Shukla
Theses and Dissertations
Natural gas has become a major share of energy consumption in the U.S. over the past two decades. This rise has resulted in considerable investment in the natural gas pipeline network so that the supply can be maximized. However, pipeline infrastructures, much like other fossil fuel energy infrastructures and activities, have an uneven distribution of benefits and costs across different regions. In regions where natural gas activities and infrastructure are being developed, local communities can become increasingly dependent on natural gas systems for stable revenue and employment. Such communities risk becoming “locked in” to carbon energy at a time when …
Dark And Quiet Skies Ii Working Group Reports, James Lowenthal, Connie Walker, Piero Benvenuti
Dark And Quiet Skies Ii Working Group Reports, James Lowenthal, Connie Walker, Piero Benvenuti
Astronomy: Faculty Publications
This Report presents the main results of the Conference “Dark and Quiet Skies for Science and Society II” which took place on-line on 3–7 October 2021. This conference was the logical follow-up of the first one, organized as an on-line workshop with the same title on 5–9 October 2020. Both conferences were co-organized by UNOOSA, IAU and the Government of Spain and were well attended. The focus of the second conference was about the feasibility of implementing the recommendations presented by the first one in its extensive report. The main qualifying difference between the first and the second conferences was …